commit 27ed839a7cf9f4166dce0ba74a5675933327e580 Author: Markus Zolliker Date: Fri Feb 13 14:40:58 2026 +0100 initial commit diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..eeb514c --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +__pycache__ +.ipynb_checkpoints diff --git a/2018-10-25/X133928.340 b/2018-10-25/X133928.340 new file mode 100644 index 0000000..c9ea3b8 --- /dev/null +++ b/2018-10-25/X133928.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-10-25 +Serial Number: X133928 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.720376 330.0000 + 2 1.743319 310.0000 + 3 1.753572 301.5330 + 4 1.763872 293.2973 + 5 1.774217 285.2865 + 6 1.784599 277.4945 + 7 1.795015 269.9153 + 8 1.805458 262.5431 + 9 1.815922 255.3723 + 10 1.826401 248.3974 + 11 1.836891 241.6129 + 12 1.847388 235.0138 + 13 1.857890 228.5949 + 14 1.868393 222.3513 + 15 1.878895 216.2782 + 16 1.889393 210.3710 + 17 1.899883 204.6252 + 18 1.910365 199.0363 + 19 1.920833 193.6000 + 20 1.931286 188.3123 + 21 1.941720 183.1689 + 22 1.952133 178.1660 + 23 1.962522 173.2998 + 24 1.972884 168.5665 + 25 1.983217 163.9624 + 26 1.993518 159.4842 + 27 2.003783 155.1282 + 28 2.014012 150.8912 + 29 2.024200 146.7699 + 30 2.034347 142.7612 + 31 2.044452 138.8620 + 32 2.054515 135.0693 + 33 2.064535 131.3801 + 34 2.074512 127.7918 + 35 2.084445 124.3014 + 36 2.094335 120.9064 + 37 2.104179 117.6041 + 38 2.113979 114.3920 + 39 2.123734 111.2676 + 40 2.133442 108.2285 + 41 2.143106 105.2725 + 42 2.152724 102.3972 + 43 2.162298 99.60045 + 44 2.171828 96.88007 + 45 2.181317 94.23400 + 46 2.190764 91.66019 + 47 2.200172 89.15669 + 48 2.209542 86.72156 + 49 2.218875 84.35294 + 50 2.228173 82.04902 + 51 2.237437 79.80803 + 52 2.246668 77.62824 + 53 2.255868 75.50799 + 54 2.265036 73.44565 + 55 2.274174 71.43963 + 56 2.283281 69.48841 + 57 2.292356 67.59048 + 58 2.301400 65.74439 + 59 2.310413 63.94872 + 60 2.319394 62.20210 + 61 2.328343 60.50318 + 62 2.337260 58.85066 + 63 2.346146 57.24328 + 64 2.354999 55.67980 + 65 2.363820 54.15902 + 66 2.372609 52.67978 + 67 2.381366 51.24095 + 68 2.390090 49.84141 + 69 2.398782 48.48010 + 70 2.407440 47.15596 + 71 2.416067 45.86800 + 72 2.424660 44.61521 + 73 2.433220 43.39664 + 74 2.441748 42.21135 + 75 2.450242 41.05844 + 76 2.458703 39.93701 + 77 2.467130 38.84622 + 78 2.475525 37.78522 + 79 2.483886 36.75319 + 80 2.492214 35.74936 + 81 2.500510 34.77294 + 82 2.508773 33.82319 + 83 2.517004 32.89938 + 84 2.525202 32.00080 + 85 2.533370 31.12677 + 86 2.541506 30.27661 + 87 2.549612 29.44966 + 88 2.557688 28.64531 + 89 2.565735 27.86292 + 90 2.573753 27.10191 + 91 2.581744 26.36167 + 92 2.589707 25.64166 + 93 2.597645 24.94131 + 94 2.605557 24.26009 + 95 2.613446 23.59748 + 96 2.621314 22.95297 + 97 2.629164 22.32605 + 98 2.636997 21.71626 + 99 2.644817 21.12313 +100 2.652626 20.54620 +101 2.660426 19.98502 +102 2.668220 19.43917 +103 2.676010 18.90823 +104 2.683798 18.39179 +105 2.691587 17.88946 +106 2.699377 17.40085 +107 2.707172 16.92558 +108 2.714973 16.46329 +109 2.722782 16.01363 +110 2.730600 15.57626 +111 2.738431 15.15082 +112 2.746275 14.73701 +113 2.754135 14.33450 +114 2.762014 13.94298 +115 2.769912 13.56216 +116 2.777834 13.19174 +117 2.785780 12.83143 +118 2.793753 12.48097 +119 2.801756 12.14008 +120 2.809792 11.80850 +121 2.817863 11.48597 +122 2.825972 11.17226 +123 2.834123 10.86711 +124 2.842317 10.57030 +125 2.850559 10.28159 +126 2.858852 10.00077 +127 2.867199 9.727624 +128 2.875602 9.461935 +129 2.884063 9.203502 +130 2.892582 8.952128 +131 2.901163 8.707619 +132 2.909806 8.469789 +133 2.918515 8.238455 +134 2.927290 8.013439 +135 2.936135 7.794568 +136 2.945052 7.581676 +137 2.954042 7.374599 +138 2.963110 7.173177 +139 2.972257 6.977257 +140 2.981486 6.786688 +141 2.990801 6.601324 +142 3.000202 6.421023 +143 3.009695 6.245646 +144 3.019281 6.075059 +145 3.028963 5.909132 +146 3.038746 5.747736 +147 3.048634 5.590749 +148 3.058628 5.438050 +149 3.068734 5.289521 +150 3.078952 5.145049 +151 3.089285 5.004522 +152 3.099735 4.867834 +153 3.110306 4.734880 +154 3.120998 4.605557 +155 3.131815 4.479766 +156 3.142759 4.357410 +157 3.153831 4.238397 +158 3.165035 4.122634 +159 3.176374 4.010033 +160 3.187851 3.900507 +161 3.199470 3.793973 +162 3.211235 3.690349 +163 3.223150 3.589555 +164 3.235220 3.491514 +165 3.247449 3.396150 +166 3.259845 3.303392 +167 3.272415 3.213166 +168 3.285167 3.125406 +169 3.298109 3.040042 +170 3.311243 2.957009 +171 3.324569 2.876245 +172 3.338086 2.797686 +173 3.351791 2.721273 +174 3.365688 2.646948 +175 3.379784 2.574652 +176 3.394086 2.504331 +177 3.408600 2.435930 +178 3.423333 2.369398 +179 3.438288 2.304683 +180 3.453467 2.241735 +181 3.468874 2.180507 +182 3.484511 2.120951 +183 3.500386 2.063022 +184 3.516506 2.006675 +185 3.532879 1.951866 +186 3.549513 1.898555 +187 3.566416 1.846700 +188 3.583596 1.796262 +189 3.601061 1.747201 +190 3.618822 1.699479 +191 3.636886 1.653062 +192 3.655262 1.607912 +193 3.673961 1.563995 +194 3.692990 1.521278 +195 3.712359 1.479727 +196 3.732078 1.439312 +197 3.752155 1.400000 +198 3.870843 1.200000 +199 4.027741 1.000000 diff --git a/2018-10-25/X133978.340 b/2018-10-25/X133978.340 new file mode 100644 index 0000000..1fc6ff2 --- /dev/null +++ b/2018-10-25/X133978.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-10-25 +Serial Number: X133978 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.729223 330.0000 + 2 1.752157 310.0000 + 3 1.762411 301.5330 + 4 1.772718 293.2973 + 5 1.783072 285.2865 + 6 1.793468 277.4945 + 7 1.803900 269.9153 + 8 1.814364 262.5431 + 9 1.824851 255.3723 + 10 1.835358 248.3974 + 11 1.845878 241.6129 + 12 1.856408 235.0138 + 13 1.866946 228.5949 + 14 1.877488 222.3513 + 15 1.888032 216.2782 + 16 1.898574 210.3710 + 17 1.909111 204.6252 + 18 1.919641 199.0363 + 19 1.930161 193.6000 + 20 1.940666 188.3123 + 21 1.951156 183.1689 + 22 1.961625 178.1660 + 23 1.972072 173.2998 + 24 1.982493 168.5665 + 25 1.992886 163.9624 + 26 2.003248 159.4842 + 27 2.013576 155.1282 + 28 2.023868 150.8912 + 29 2.034120 146.7699 + 30 2.044332 142.7612 + 31 2.054503 138.8620 + 32 2.064634 135.0693 + 33 2.074722 131.3801 + 34 2.084769 127.7918 + 35 2.094774 124.3014 + 36 2.104736 120.9064 + 37 2.114656 117.6041 + 38 2.124532 114.3920 + 39 2.134365 111.2676 + 40 2.144154 108.2285 + 41 2.153899 105.2725 + 42 2.163601 102.3972 + 43 2.173261 99.60045 + 44 2.182878 96.88007 + 45 2.192454 94.23400 + 46 2.201991 91.66019 + 47 2.211490 89.15669 + 48 2.220952 86.72156 + 49 2.230378 84.35294 + 50 2.239770 82.04902 + 51 2.249128 79.80803 + 52 2.258455 77.62824 + 53 2.267751 75.50799 + 54 2.277016 73.44565 + 55 2.286251 71.43963 + 56 2.295456 69.48841 + 57 2.304630 67.59048 + 58 2.313774 65.74439 + 59 2.322886 63.94872 + 60 2.331968 62.20210 + 61 2.341019 60.50318 + 62 2.350038 58.85066 + 63 2.359026 57.24328 + 64 2.367983 55.67980 + 65 2.376908 54.15902 + 66 2.385801 52.67978 + 67 2.394663 51.24095 + 68 2.403493 49.84141 + 69 2.412291 48.48010 + 70 2.421057 47.15596 + 71 2.429790 45.86800 + 72 2.438491 44.61521 + 73 2.447160 43.39664 + 74 2.455797 42.21135 + 75 2.464401 41.05844 + 76 2.472972 39.93701 + 77 2.481511 38.84622 + 78 2.490017 37.78522 + 79 2.498490 36.75319 + 80 2.506931 35.74936 + 81 2.515340 34.77294 + 82 2.523717 33.82319 + 83 2.532063 32.89938 + 84 2.540377 32.00080 + 85 2.548661 31.12677 + 86 2.556915 30.27661 + 87 2.565139 29.44966 + 88 2.573335 28.64531 + 89 2.581502 27.86292 + 90 2.589642 27.10191 + 91 2.597755 26.36167 + 92 2.605842 25.64166 + 93 2.613904 24.94131 + 94 2.621942 24.26009 + 95 2.629957 23.59748 + 96 2.637952 22.95297 + 97 2.645929 22.32605 + 98 2.653891 21.71626 + 99 2.661840 21.12313 +100 2.669778 20.54620 +101 2.677708 19.98502 +102 2.685632 19.43917 +103 2.693553 18.90823 +104 2.701473 18.39179 +105 2.709394 17.88946 +106 2.717317 17.40085 +107 2.725245 16.92558 +108 2.733180 16.46329 +109 2.741123 16.01363 +110 2.749077 15.57626 +111 2.757044 15.15082 +112 2.765025 14.73701 +113 2.773024 14.33450 +114 2.781041 13.94298 +115 2.789079 13.56216 +116 2.797141 13.19174 +117 2.805229 12.83143 +118 2.813346 12.48097 +119 2.821494 12.14008 +120 2.829675 11.80850 +121 2.837893 11.48597 +122 2.846150 11.17226 +123 2.854450 10.86711 +124 2.862796 10.57030 +125 2.871191 10.28159 +126 2.879639 10.00077 +127 2.888142 9.727624 +128 2.896703 9.461935 +129 2.905323 9.203502 +130 2.914005 8.952128 +131 2.922749 8.707619 +132 2.931559 8.469789 +133 2.940436 8.238455 +134 2.949382 8.013439 +135 2.958399 7.794568 +136 2.967491 7.581676 +137 2.976659 7.374599 +138 2.985907 7.173177 +139 2.995237 6.977257 +140 3.004651 6.786688 +141 3.014154 6.601324 +142 3.023747 6.421023 +143 3.033433 6.245646 +144 3.043216 6.075059 +145 3.053100 5.909132 +146 3.063087 5.747736 +147 3.073182 5.590749 +148 3.083388 5.438050 +149 3.093708 5.289521 +150 3.104145 5.145049 +151 3.114701 5.004522 +152 3.125379 4.867834 +153 3.136180 4.734880 +154 3.147109 4.605557 +155 3.158166 4.479766 +156 3.169354 4.357410 +157 3.180676 4.238397 +158 3.192135 4.122634 +159 3.203732 4.010033 +160 3.215474 3.900507 +161 3.227362 3.793973 +162 3.239402 3.690349 +163 3.251598 3.589555 +164 3.263954 3.491514 +165 3.276476 3.396150 +166 3.289167 3.303392 +167 3.302034 3.213166 +168 3.315083 3.125406 +169 3.328317 3.040042 +170 3.341741 2.957009 +171 3.355360 2.876245 +172 3.369179 2.797686 +173 3.383203 2.721273 +174 3.397435 2.646948 +175 3.411880 2.574652 +176 3.426542 2.504331 +177 3.441426 2.435930 +178 3.456536 2.369398 +179 3.471874 2.304683 +180 3.487444 2.241735 +181 3.503248 2.180507 +182 3.519290 2.120951 +183 3.535577 2.063022 +184 3.552118 2.006675 +185 3.568920 1.951866 +186 3.585991 1.898555 +187 3.603340 1.846700 +188 3.620976 1.796262 +189 3.638907 1.747201 +190 3.657143 1.699479 +191 3.675694 1.653062 +192 3.694567 1.607912 +193 3.713774 1.563995 +194 3.733324 1.521278 +195 3.753227 1.479727 +196 3.773491 1.439312 +197 3.794128 1.400000 +198 3.916201 1.200000 +199 4.077800 1.000000 diff --git a/2018-10-25/X133979.340 b/2018-10-25/X133979.340 new file mode 100644 index 0000000..ba3b6c9 --- /dev/null +++ b/2018-10-25/X133979.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-10-25 +Serial Number: X133979 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.730852 330.0000 + 2 1.754092 310.0000 + 3 1.764479 301.5330 + 4 1.774917 293.2973 + 5 1.785401 285.2865 + 6 1.795925 277.4945 + 7 1.806483 269.9153 + 8 1.817070 262.5431 + 9 1.827681 255.3723 + 10 1.838307 248.3974 + 11 1.848945 241.6129 + 12 1.859592 235.0138 + 13 1.870244 228.5949 + 14 1.880898 222.3513 + 15 1.891551 216.2782 + 16 1.902201 210.3710 + 17 1.912844 204.6252 + 18 1.923478 199.0363 + 19 1.934099 193.6000 + 20 1.944705 188.3123 + 21 1.955291 183.1689 + 22 1.965856 178.1660 + 23 1.976397 173.2998 + 24 1.986910 168.5665 + 25 1.997393 163.9624 + 26 2.007843 159.4842 + 27 2.018257 155.1282 + 28 2.028633 150.8912 + 29 2.038967 146.7699 + 30 2.049260 142.7612 + 31 2.059510 138.8620 + 32 2.069718 135.0693 + 33 2.079883 131.3801 + 34 2.090005 127.7918 + 35 2.100084 124.3014 + 36 2.110118 120.9064 + 37 2.120109 117.6041 + 38 2.130056 114.3920 + 39 2.139958 111.2676 + 40 2.149816 108.2285 + 41 2.159630 105.2725 + 42 2.169399 102.3972 + 43 2.179125 99.60045 + 44 2.188809 96.88007 + 45 2.198450 94.23400 + 46 2.208052 91.66019 + 47 2.217615 89.15669 + 48 2.227140 86.72156 + 49 2.236629 84.35294 + 50 2.246084 82.04902 + 51 2.255504 79.80803 + 52 2.264892 77.62824 + 53 2.274249 75.50799 + 54 2.283575 73.44565 + 55 2.292870 71.43963 + 56 2.302134 69.48841 + 57 2.311367 67.59048 + 58 2.320569 65.74439 + 59 2.329739 63.94872 + 60 2.338878 62.20210 + 61 2.347985 60.50318 + 62 2.357059 58.85066 + 63 2.366102 57.24328 + 64 2.375113 55.67980 + 65 2.384091 54.15902 + 66 2.393037 52.67978 + 67 2.401950 51.24095 + 68 2.410830 49.84141 + 69 2.419677 48.48010 + 70 2.428491 47.15596 + 71 2.437272 45.86800 + 72 2.446020 44.61521 + 73 2.454735 43.39664 + 74 2.463416 42.21135 + 75 2.472063 41.05844 + 76 2.480676 39.93701 + 77 2.489256 38.84622 + 78 2.497801 37.78522 + 79 2.506314 36.75319 + 80 2.514793 35.74936 + 81 2.523240 34.77294 + 82 2.531655 33.82319 + 83 2.540038 32.89938 + 84 2.548390 32.00080 + 85 2.556713 31.12677 + 86 2.565005 30.27661 + 87 2.573270 29.44966 + 88 2.581506 28.64531 + 89 2.589716 27.86292 + 90 2.597899 27.10191 + 91 2.606057 26.36167 + 92 2.614191 25.64166 + 93 2.622300 24.94131 + 94 2.630386 24.26009 + 95 2.638451 23.59748 + 96 2.646495 22.95297 + 97 2.654522 22.32605 + 98 2.662533 21.71626 + 99 2.670532 21.12313 +100 2.678520 20.54620 +101 2.686499 19.98502 +102 2.694472 19.43917 +103 2.702441 18.90823 +104 2.710409 18.39179 +105 2.718376 17.88946 +106 2.726346 17.40085 +107 2.734321 16.92558 +108 2.742301 16.46329 +109 2.750290 16.01363 +110 2.758290 15.57626 +111 2.766302 15.15082 +112 2.774328 14.73701 +113 2.782372 14.33450 +114 2.790434 13.94298 +115 2.798518 13.56216 +116 2.806626 13.19174 +117 2.814760 12.83143 +118 2.822924 12.48097 +119 2.831118 12.14008 +120 2.839347 11.80850 +121 2.847614 11.48597 +122 2.855920 11.17226 +123 2.864270 10.86711 +124 2.872667 10.57030 +125 2.881114 10.28159 +126 2.889616 10.00077 +127 2.898174 9.727624 +128 2.906791 9.461935 +129 2.915469 9.203502 +130 2.924210 8.952128 +131 2.933015 8.707619 +132 2.941887 8.469789 +133 2.950827 8.238455 +134 2.959838 8.013439 +135 2.968922 7.794568 +136 2.978081 7.581676 +137 2.987318 7.374599 +138 2.996637 7.173177 +139 3.006039 6.977257 +140 3.015527 6.786688 +141 3.025104 6.601324 +142 3.034773 6.421023 +143 3.044538 6.245646 +144 3.054400 6.075059 +145 3.064364 5.909132 +146 3.074433 5.747736 +147 3.084611 5.590749 +148 3.094901 5.438050 +149 3.105308 5.289521 +150 3.115832 5.145049 +151 3.126477 5.004522 +152 3.137244 4.867834 +153 3.148137 4.734880 +154 3.159157 4.605557 +155 3.170308 4.479766 +156 3.181593 4.357410 +157 3.193012 4.238397 +158 3.204570 4.122634 +159 3.216270 4.010033 +160 3.228116 3.900507 +161 3.240112 3.793973 +162 3.252262 3.690349 +163 3.264572 3.589555 +164 3.277046 3.491514 +165 3.289689 3.396150 +166 3.302506 3.303392 +167 3.315503 3.213166 +168 3.328685 3.125406 +169 3.342057 3.040042 +170 3.355623 2.957009 +171 3.369389 2.876245 +172 3.383358 2.797686 +173 3.397536 2.721273 +174 3.411926 2.646948 +175 3.426534 2.574652 +176 3.441363 2.504331 +177 3.456417 2.435930 +178 3.471700 2.369398 +179 3.487216 2.304683 +180 3.502968 2.241735 +181 3.518958 2.180507 +182 3.535190 2.120951 +183 3.551673 2.063022 +184 3.568414 2.006675 +185 3.585420 1.951866 +186 3.602702 1.898555 +187 3.620267 1.846700 +188 3.638124 1.796262 +189 3.656283 1.747201 +190 3.674753 1.699479 +191 3.693543 1.653062 +192 3.712665 1.607912 +193 3.732127 1.563995 +194 3.751940 1.521278 +195 3.772114 1.479727 +196 3.792659 1.439312 +197 3.813584 1.400000 +198 3.937454 1.200000 +199 4.101690 1.000000 diff --git a/2018-10-25/X133981.340 b/2018-10-25/X133981.340 new file mode 100644 index 0000000..4c2b328 --- /dev/null +++ b/2018-10-25/X133981.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-10-25 +Serial Number: X133981 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.738772 330.0000 + 2 1.762040 310.0000 + 3 1.772442 301.5330 + 4 1.782896 293.2973 + 5 1.793397 285.2865 + 6 1.803940 277.4945 + 7 1.814518 269.9153 + 8 1.825127 262.5431 + 9 1.835760 255.3723 + 10 1.846411 248.3974 + 11 1.857074 241.6129 + 12 1.867747 235.0138 + 13 1.878427 228.5949 + 14 1.889110 222.3513 + 15 1.899793 216.2782 + 16 1.910475 210.3710 + 17 1.921150 204.6252 + 18 1.931818 199.0363 + 19 1.942473 193.6000 + 20 1.953114 188.3123 + 21 1.963737 183.1689 + 22 1.974340 178.1660 + 23 1.984919 173.2998 + 24 1.995471 168.5665 + 25 2.005994 163.9624 + 26 2.016485 159.4842 + 27 2.026941 155.1282 + 28 2.037358 150.8912 + 29 2.047736 146.7699 + 30 2.058073 142.7612 + 31 2.068368 138.8620 + 32 2.078621 135.0693 + 33 2.088832 131.3801 + 34 2.099001 127.7918 + 35 2.109127 124.3014 + 36 2.119210 120.9064 + 37 2.129250 117.6041 + 38 2.139247 114.3920 + 39 2.149200 111.2676 + 40 2.159110 108.2285 + 41 2.168976 105.2725 + 42 2.178799 102.3972 + 43 2.188578 99.60045 + 44 2.198316 96.88007 + 45 2.208012 94.23400 + 46 2.217668 91.66019 + 47 2.227285 89.15669 + 48 2.236865 86.72156 + 49 2.246409 84.35294 + 50 2.255917 82.04902 + 51 2.265391 79.80803 + 52 2.274833 77.62824 + 53 2.284242 75.50799 + 54 2.293620 73.44565 + 55 2.302967 71.43963 + 56 2.312283 69.48841 + 57 2.321567 67.59048 + 58 2.330819 65.74439 + 59 2.340040 63.94872 + 60 2.349229 62.20210 + 61 2.358386 60.50318 + 62 2.367511 58.85066 + 63 2.376604 57.24328 + 64 2.385665 55.67980 + 65 2.394694 54.15902 + 66 2.403691 52.67978 + 67 2.412655 51.24095 + 68 2.421587 49.84141 + 69 2.430487 48.48010 + 70 2.439355 47.15596 + 71 2.448190 45.86800 + 72 2.456993 44.61521 + 73 2.465764 43.39664 + 74 2.474502 42.21135 + 75 2.483209 41.05844 + 76 2.491883 39.93701 + 77 2.500525 38.84622 + 78 2.509134 37.78522 + 79 2.517712 36.75319 + 80 2.526258 35.74936 + 81 2.534772 34.77294 + 82 2.543255 33.82319 + 83 2.551707 32.89938 + 84 2.560128 32.00080 + 85 2.568519 31.12677 + 86 2.576880 30.27661 + 87 2.585212 29.44966 + 88 2.593515 28.64531 + 89 2.601790 27.86292 + 90 2.610037 27.10191 + 91 2.618258 26.36167 + 92 2.626454 25.64166 + 93 2.634624 24.94131 + 94 2.642771 24.26009 + 95 2.650895 23.59748 + 96 2.658999 22.95297 + 97 2.667086 22.32605 + 98 2.675158 21.71626 + 99 2.683217 21.12313 +100 2.691266 20.54620 +101 2.699308 19.98502 +102 2.707344 19.43917 +103 2.715378 18.90823 +104 2.723412 18.39179 +105 2.731447 17.88946 +106 2.739485 17.40085 +107 2.747529 16.92558 +108 2.755580 16.46329 +109 2.763641 16.01363 +110 2.771713 15.57626 +111 2.779798 15.15082 +112 2.787899 14.73701 +113 2.796018 14.33450 +114 2.804156 13.94298 +115 2.812317 13.56216 +116 2.820502 13.19174 +117 2.828714 12.83143 +118 2.836956 12.48097 +119 2.845229 12.14008 +120 2.853538 11.80850 +121 2.861884 11.48597 +122 2.870270 11.17226 +123 2.878700 10.86711 +124 2.887177 10.57030 +125 2.895704 10.28159 +126 2.904286 10.00077 +127 2.912924 9.727624 +128 2.921622 9.461935 +129 2.930380 9.203502 +130 2.939201 8.952128 +131 2.948088 8.707619 +132 2.957042 8.469789 +133 2.966066 8.238455 +134 2.975162 8.013439 +135 2.984333 7.794568 +136 2.993582 7.581676 +137 3.002911 7.374599 +138 3.012325 7.173177 +139 3.021825 6.977257 +140 3.031416 6.786688 +141 3.041100 6.601324 +142 3.050880 6.421023 +143 3.060757 6.245646 +144 3.070736 6.075059 +145 3.080819 5.909132 +146 3.091010 5.747736 +147 3.101311 5.590749 +148 3.111728 5.438050 +149 3.122261 5.289521 +150 3.132912 5.145049 +151 3.143685 5.004522 +152 3.154580 4.867834 +153 3.165600 4.734880 +154 3.176748 4.605557 +155 3.188027 4.479766 +156 3.199439 4.357410 +157 3.210988 4.238397 +158 3.222677 4.122634 +159 3.234510 4.010033 +160 3.246491 3.900507 +161 3.258625 3.793973 +162 3.270918 3.690349 +163 3.283374 3.589555 +164 3.296000 3.491514 +165 3.308800 3.396150 +166 3.321780 3.303392 +167 3.334945 3.213166 +168 3.348301 3.125406 +169 3.361853 3.040042 +170 3.375604 2.957009 +171 3.389559 2.876245 +172 3.403722 2.797686 +173 3.418098 2.721273 +174 3.432691 2.646948 +175 3.447504 2.574652 +176 3.462542 2.504331 +177 3.477808 2.435930 +178 3.493305 2.369398 +179 3.509038 2.304683 +180 3.525009 2.241735 +181 3.541222 2.180507 +182 3.557681 2.120951 +183 3.574396 2.063022 +184 3.591373 2.006675 +185 3.608622 1.951866 +186 3.626152 1.898555 +187 3.643972 1.846700 +188 3.662093 1.796262 +189 3.680524 1.747201 +190 3.699276 1.699479 +191 3.718360 1.653062 +192 3.737787 1.607912 +193 3.757567 1.563995 +194 3.777712 1.521278 +195 3.798234 1.479727 +196 3.819145 1.439312 +197 3.840455 1.400000 +198 3.966906 1.200000 +199 4.135597 1.000000 diff --git a/2018-11-15/X133273.340 b/2018-11-15/X133273.340 new file mode 100644 index 0000000..b326480 --- /dev/null +++ b/2018-11-15/X133273.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1030-CU-HT-0.3L 2018-11-15 +Serial Number: X133273 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.561960 330.0000 + 2 1.580400 310.0000 + 3 1.588656 301.5330 + 4 1.596961 293.2973 + 5 1.605309 285.2865 + 6 1.613696 277.4945 + 7 1.622119 269.9153 + 8 1.630570 262.5431 + 9 1.639046 255.3723 + 10 1.647540 248.3974 + 11 1.656049 241.6129 + 12 1.664569 235.0138 + 13 1.673097 228.5949 + 14 1.681631 222.3513 + 15 1.690167 216.2782 + 16 1.698703 210.3710 + 17 1.707235 204.6252 + 18 1.715762 199.0363 + 19 1.724279 193.6000 + 20 1.732784 188.3123 + 21 1.741275 183.1689 + 22 1.749747 178.1660 + 23 1.758199 173.2998 + 24 1.766627 168.5665 + 25 1.775028 163.9624 + 26 1.783401 159.4842 + 27 1.791741 155.1282 + 28 1.800047 150.8912 + 29 1.808317 146.7699 + 30 1.816548 142.7612 + 31 1.824742 138.8620 + 32 1.832899 135.0693 + 33 1.841018 131.3801 + 34 1.849100 127.7918 + 35 1.857144 124.3014 + 36 1.865151 120.9064 + 37 1.873121 117.6041 + 38 1.881054 114.3920 + 39 1.888950 111.2676 + 40 1.896808 108.2285 + 41 1.904630 105.2725 + 42 1.912416 102.3972 + 43 1.920164 99.60045 + 44 1.927877 96.88007 + 45 1.935553 94.23400 + 46 1.943195 91.66019 + 47 1.950804 89.15669 + 48 1.958379 86.72156 + 49 1.965923 84.35294 + 50 1.973435 82.04902 + 51 1.980917 79.80803 + 52 1.988369 77.62824 + 53 1.995792 75.50799 + 54 2.003187 73.44565 + 55 2.010552 71.43963 + 56 2.017889 69.48841 + 57 2.025198 67.59048 + 58 2.032477 65.74439 + 59 2.039728 63.94872 + 60 2.046949 62.20210 + 61 2.054141 60.50318 + 62 2.061304 58.85066 + 63 2.068438 57.24328 + 64 2.075542 55.67980 + 65 2.082617 54.15902 + 66 2.089662 52.67978 + 67 2.096677 51.24095 + 68 2.103663 49.84141 + 69 2.110619 48.48010 + 70 2.117546 47.15596 + 71 2.124442 45.86800 + 72 2.131308 44.61521 + 73 2.138144 43.39664 + 74 2.144950 42.21135 + 75 2.151726 41.05844 + 76 2.158472 39.93701 + 77 2.165187 38.84622 + 78 2.171873 37.78522 + 79 2.178527 36.75319 + 80 2.185151 35.74936 + 81 2.191745 34.77294 + 82 2.198309 33.82319 + 83 2.204842 32.89938 + 84 2.211345 32.00080 + 85 2.217819 31.12677 + 86 2.224263 30.27661 + 87 2.230677 29.44966 + 88 2.237063 28.64531 + 89 2.243420 27.86292 + 90 2.249749 27.10191 + 91 2.256050 26.36167 + 92 2.262323 25.64166 + 93 2.268569 24.94131 + 94 2.274788 24.26009 + 95 2.280983 23.59748 + 96 2.287153 22.95297 + 97 2.293302 22.32605 + 98 2.299431 21.71626 + 99 2.305542 21.12313 +100 2.311637 20.54620 +101 2.317718 19.98502 +102 2.323786 19.43917 +103 2.329843 18.90823 +104 2.335891 18.39179 +105 2.341931 17.88946 +106 2.347965 17.40085 +107 2.353994 16.92558 +108 2.360020 16.46329 +109 2.366045 16.01363 +110 2.372069 15.57626 +111 2.378094 15.15082 +112 2.384123 14.73701 +113 2.390156 14.33450 +114 2.396195 13.94298 +115 2.402242 13.56216 +116 2.408298 13.19174 +117 2.414366 12.83143 +118 2.420447 12.48097 +119 2.426543 12.14008 +120 2.432656 11.80850 +121 2.438788 11.48597 +122 2.444941 11.17226 +123 2.451117 10.86711 +124 2.457319 10.57030 +125 2.463549 10.28159 +126 2.469810 10.00077 +127 2.476103 9.727624 +128 2.482431 9.461935 +129 2.488793 9.203502 +130 2.495192 8.952128 +131 2.501628 8.707619 +132 2.508103 8.469789 +133 2.514617 8.238455 +134 2.521172 8.013439 +135 2.527769 7.794568 +136 2.534409 7.581676 +137 2.541095 7.374599 +138 2.547827 7.173177 +139 2.554607 6.977257 +140 2.561437 6.786688 +141 2.568318 6.601324 +142 2.575252 6.421023 +143 2.582240 6.245646 +144 2.589284 6.075059 +145 2.596385 5.909132 +146 2.603547 5.747736 +147 2.610771 5.590749 +148 2.618058 5.438050 +149 2.625411 5.289521 +150 2.632830 5.145049 +151 2.640316 5.004522 +152 2.647870 4.867834 +153 2.655493 4.734880 +154 2.663187 4.605557 +155 2.670952 4.479766 +156 2.678790 4.357410 +157 2.686702 4.238397 +158 2.694688 4.122634 +159 2.702752 4.010033 +160 2.710895 3.900507 +161 2.719118 3.793973 +162 2.727425 3.690349 +163 2.735818 3.589555 +164 2.744299 3.491514 +165 2.752871 3.396150 +166 2.761536 3.303392 +167 2.770297 3.213166 +168 2.779158 3.125406 +169 2.788119 3.040042 +170 2.797184 2.957009 +171 2.806354 2.876245 +172 2.815631 2.797686 +173 2.825017 2.721273 +174 2.834514 2.646948 +175 2.844124 2.574652 +176 2.853849 2.504331 +177 2.863689 2.435930 +178 2.873647 2.369398 +179 2.883723 2.304683 +180 2.893919 2.241735 +181 2.904234 2.180507 +182 2.914672 2.120951 +183 2.925235 2.063022 +184 2.935928 2.006675 +185 2.946754 1.951866 +186 2.957719 1.898555 +187 2.968825 1.846700 +188 2.980079 1.796262 +189 2.991483 1.747201 +190 3.003044 1.699479 +191 3.014767 1.653062 +192 3.026655 1.607912 +193 3.038715 1.563995 +194 3.050951 1.521278 +195 3.063368 1.479727 +196 3.075971 1.439312 +197 3.088767 1.400000 +198 3.163707 1.200000 +199 3.261317 1.000000 diff --git a/2018-11-15/X133980.340 b/2018-11-15/X133980.340 new file mode 100644 index 0000000..1f06a09 --- /dev/null +++ b/2018-11-15/X133980.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-11-15 +Serial Number: X133980 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.723347 330.0000 + 2 1.746279 310.0000 + 3 1.756528 301.5330 + 4 1.766827 293.2973 + 5 1.777170 285.2865 + 6 1.787553 277.4945 + 7 1.797969 269.9153 + 8 1.808414 262.5431 + 9 1.818881 255.3723 + 10 1.829365 248.3974 + 11 1.839860 241.6129 + 12 1.850363 235.0138 + 13 1.860872 228.5949 + 14 1.871383 222.3513 + 15 1.881894 216.2782 + 16 1.892402 210.3710 + 17 1.902903 204.6252 + 18 1.913396 199.0363 + 19 1.923877 193.6000 + 20 1.934343 188.3123 + 21 1.944792 183.1689 + 22 1.955220 178.1660 + 23 1.965625 173.2998 + 24 1.976003 168.5665 + 25 1.986353 163.9624 + 26 1.996671 159.4842 + 27 2.006955 155.1282 + 28 2.017202 150.8912 + 29 2.027411 146.7699 + 30 2.037577 142.7612 + 31 2.047701 138.8620 + 32 2.057779 135.0693 + 33 2.067809 131.3801 + 34 2.077790 127.7918 + 35 2.087719 124.3014 + 36 2.097596 120.9064 + 37 2.107427 117.6041 + 38 2.117215 114.3920 + 39 2.126967 111.2676 + 40 2.136686 108.2285 + 41 2.146379 105.2725 + 42 2.156049 102.3972 + 43 2.165695 99.60045 + 44 2.175313 96.88007 + 45 2.184900 94.23400 + 46 2.194450 91.66019 + 47 2.203955 89.15669 + 48 2.213406 86.72156 + 49 2.222796 84.35294 + 50 2.232132 82.04902 + 51 2.241422 79.80803 + 52 2.250676 77.62824 + 53 2.259899 75.50799 + 54 2.269092 73.44565 + 55 2.278253 71.43963 + 56 2.287384 69.48841 + 57 2.296484 67.59048 + 58 2.305554 65.74439 + 59 2.314592 63.94872 + 60 2.323599 62.20210 + 61 2.332574 60.50318 + 62 2.341519 58.85066 + 63 2.350431 57.24328 + 64 2.359313 55.67980 + 65 2.368162 54.15902 + 66 2.376980 52.67978 + 67 2.385766 51.24095 + 68 2.394520 49.84141 + 69 2.403242 48.48010 + 70 2.411932 47.15596 + 71 2.420589 45.86800 + 72 2.429215 44.61521 + 73 2.437808 43.39664 + 74 2.446369 42.21135 + 75 2.454897 41.05844 + 76 2.463393 39.93701 + 77 2.471855 38.84622 + 78 2.480286 37.78522 + 79 2.488683 36.75319 + 80 2.497049 35.74936 + 81 2.505382 34.77294 + 82 2.513685 33.82319 + 83 2.521956 32.89938 + 84 2.530196 32.00080 + 85 2.538407 31.12677 + 86 2.546589 30.27661 + 87 2.554743 29.44966 + 88 2.562869 28.64531 + 89 2.570968 27.86292 + 90 2.579042 27.10191 + 91 2.587090 26.36167 + 92 2.595114 25.64166 + 93 2.603113 24.94131 + 94 2.611090 24.26009 + 95 2.619044 23.59748 + 96 2.626978 22.95297 + 97 2.634894 22.32605 + 98 2.642795 21.71626 + 99 2.650682 21.12313 +100 2.658558 20.54620 +101 2.666425 19.98502 +102 2.674285 19.43917 +103 2.682140 18.90823 +104 2.689992 18.39179 +105 2.697844 17.88946 +106 2.705696 17.40085 +107 2.713551 16.92558 +108 2.721411 16.46329 +109 2.729277 16.01363 +110 2.737152 15.57626 +111 2.745037 15.15082 +112 2.752934 14.73701 +113 2.760846 14.33450 +114 2.768774 13.94298 +115 2.776721 13.56216 +116 2.784689 13.19174 +117 2.792681 12.83143 +118 2.800699 12.48097 +119 2.808746 12.14008 +120 2.816824 11.80850 +121 2.824938 11.48597 +122 2.833091 11.17226 +123 2.841284 10.86711 +124 2.849523 10.57030 +125 2.857810 10.28159 +126 2.866150 10.00077 +127 2.874545 9.727624 +128 2.882999 9.461935 +129 2.891512 9.203502 +130 2.900087 8.952128 +131 2.908725 8.707619 +132 2.917429 8.469789 +133 2.926200 8.238455 +134 2.935040 8.013439 +135 2.943952 7.794568 +136 2.952937 7.581676 +137 2.961999 7.374599 +138 2.971140 7.173177 +139 2.980363 6.977257 +140 2.989669 6.786688 +141 2.999063 6.601324 +142 3.008545 6.421023 +143 3.018121 6.245646 +144 3.027791 6.075059 +145 3.037559 5.909132 +146 3.047430 5.747736 +147 3.057406 5.590749 +148 3.067491 5.438050 +149 3.077687 5.289521 +150 3.087997 5.145049 +151 3.098424 5.004522 +152 3.108968 4.867834 +153 3.119633 4.734880 +154 3.130421 4.605557 +155 3.141334 4.479766 +156 3.152375 4.357410 +157 3.163546 4.238397 +158 3.174851 4.122634 +159 3.186291 4.010033 +160 3.197872 3.900507 +161 3.209597 3.793973 +162 3.221470 3.690349 +163 3.233496 3.589555 +164 3.245679 3.491514 +165 3.258024 3.396150 +166 3.270537 3.303392 +167 3.283222 3.213166 +168 3.296084 3.125406 +169 3.309128 3.040042 +170 3.322358 2.957009 +171 3.335779 2.876245 +172 3.349396 2.797686 +173 3.363211 2.721273 +174 3.377229 2.646948 +175 3.391456 2.574652 +176 3.405893 2.504331 +177 3.420546 2.435930 +178 3.435419 2.369398 +179 3.450515 2.304683 +180 3.465837 2.241735 +181 3.481387 2.180507 +182 3.497171 2.120951 +183 3.513195 2.063022 +184 3.529469 2.006675 +185 3.545999 1.951866 +186 3.562796 1.898555 +187 3.579866 1.846700 +188 3.597221 1.796262 +189 3.614869 1.747201 +190 3.632820 1.699479 +191 3.651085 1.653062 +192 3.669673 1.607912 +193 3.688595 1.563995 +194 3.707861 1.521278 +195 3.727483 1.479727 +196 3.747471 1.439312 +197 3.767837 1.400000 +198 3.888573 1.200000 +199 4.049365 1.000000 diff --git a/2018-11-15/X134003.340 b/2018-11-15/X134003.340 new file mode 100644 index 0000000..a6f31ce --- /dev/null +++ b/2018-11-15/X134003.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-11-15 +Serial Number: X134003 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.714039 330.0000 + 2 1.736553 310.0000 + 3 1.746620 301.5330 + 4 1.756740 293.2973 + 5 1.766906 285.2865 + 6 1.777114 277.4945 + 7 1.787357 269.9153 + 8 1.797631 262.5431 + 9 1.807929 255.3723 + 10 1.818245 248.3974 + 11 1.828574 241.6129 + 12 1.838913 235.0138 + 13 1.849258 228.5949 + 14 1.859607 222.3513 + 15 1.869956 216.2782 + 16 1.880303 210.3710 + 17 1.890644 204.6252 + 18 1.900976 199.0363 + 19 1.911297 193.6000 + 20 1.921602 188.3123 + 21 1.931890 183.1689 + 22 1.942156 178.1660 + 23 1.952398 173.2998 + 24 1.962613 168.5665 + 25 1.972798 163.9624 + 26 1.982950 159.4842 + 27 1.993067 155.1282 + 28 2.003145 150.8912 + 29 2.013182 146.7699 + 30 2.023177 142.7612 + 31 2.033131 138.8620 + 32 2.043043 135.0693 + 33 2.052914 131.3801 + 34 2.062743 127.7918 + 35 2.072532 124.3014 + 36 2.082279 120.9064 + 37 2.091986 117.6041 + 38 2.101653 114.3920 + 39 2.111278 111.2676 + 40 2.120864 108.2285 + 41 2.130409 105.2725 + 42 2.139915 102.3972 + 43 2.149380 99.60045 + 44 2.158805 96.88007 + 45 2.168191 94.23400 + 46 2.177537 91.66019 + 47 2.186845 89.15669 + 48 2.196115 86.72156 + 49 2.205347 84.35294 + 50 2.214543 82.04902 + 51 2.223704 79.80803 + 52 2.232830 77.62824 + 53 2.241922 75.50799 + 54 2.250980 73.44565 + 55 2.260006 71.43963 + 56 2.268998 69.48841 + 57 2.277958 67.59048 + 58 2.286885 65.74439 + 59 2.295778 63.94872 + 60 2.304639 62.20210 + 61 2.313466 60.50318 + 62 2.322261 58.85066 + 63 2.331023 57.24328 + 64 2.339752 55.67980 + 65 2.348448 54.15902 + 66 2.357111 52.67978 + 67 2.365741 51.24095 + 68 2.374338 49.84141 + 69 2.382903 48.48010 + 70 2.391435 47.15596 + 71 2.399934 45.86800 + 72 2.408400 44.61521 + 73 2.416833 43.39664 + 74 2.425234 42.21135 + 75 2.433603 41.05844 + 76 2.441938 39.93701 + 77 2.450241 38.84622 + 78 2.458512 37.78522 + 79 2.466750 36.75319 + 80 2.474955 35.74936 + 81 2.483130 34.77294 + 82 2.491272 33.82319 + 83 2.499384 32.89938 + 84 2.507466 32.00080 + 85 2.515517 31.12677 + 86 2.523540 30.27661 + 87 2.531534 29.44966 + 88 2.539501 28.64531 + 89 2.547441 27.86292 + 90 2.555354 27.10191 + 91 2.563242 26.36167 + 92 2.571105 25.64166 + 93 2.578943 24.94131 + 94 2.586758 24.26009 + 95 2.594551 23.59748 + 96 2.602322 22.95297 + 97 2.610076 22.32605 + 98 2.617812 21.71626 + 99 2.625535 21.12313 +100 2.633246 20.54620 +101 2.640947 19.98502 +102 2.648640 19.43917 +103 2.656328 18.90823 +104 2.664011 18.39179 +105 2.671693 17.88946 +106 2.679374 17.40085 +107 2.687058 16.92558 +108 2.694746 16.46329 +109 2.702439 16.01363 +110 2.710140 15.57626 +111 2.717851 15.15082 +112 2.725573 14.73701 +113 2.733309 14.33450 +114 2.741061 13.94298 +115 2.748831 13.56216 +116 2.756621 13.19174 +117 2.764434 12.83143 +118 2.772272 12.48097 +119 2.780139 12.14008 +120 2.788036 11.80850 +121 2.795966 11.48597 +122 2.803933 11.17226 +123 2.811939 10.86711 +124 2.819988 10.57030 +125 2.828084 10.28159 +126 2.836230 10.00077 +127 2.844428 9.727624 +128 2.852682 9.461935 +129 2.860992 9.203502 +130 2.869361 8.952128 +131 2.877790 8.707619 +132 2.886281 8.469789 +133 2.894836 8.238455 +134 2.903457 8.013439 +135 2.912146 7.794568 +136 2.920905 7.581676 +137 2.929737 7.374599 +138 2.938645 7.173177 +139 2.947630 6.977257 +140 2.956695 6.786688 +141 2.965844 6.601324 +142 2.975078 6.421023 +143 2.984400 6.245646 +144 2.993814 6.075059 +145 3.003321 5.909132 +146 3.012927 5.747736 +147 3.022633 5.590749 +148 3.032444 5.438050 +149 3.042361 5.289521 +150 3.052388 5.145049 +151 3.062527 5.004522 +152 3.072778 4.867834 +153 3.083146 4.734880 +154 3.093631 4.605557 +155 3.104237 4.479766 +156 3.114966 4.357410 +157 3.125819 4.238397 +158 3.136800 4.122634 +159 3.147911 4.010033 +160 3.159156 3.900507 +161 3.170540 3.793973 +162 3.182065 3.690349 +163 3.193737 3.589555 +164 3.205559 3.491514 +165 3.217536 3.396150 +166 3.229673 3.303392 +167 3.241975 3.213166 +168 3.254446 3.125406 +169 3.267091 3.040042 +170 3.279914 2.957009 +171 3.292919 2.876245 +172 3.306109 2.797686 +173 3.319490 2.721273 +174 3.333064 2.646948 +175 3.346836 2.574652 +176 3.360809 2.504331 +177 3.374988 2.435930 +178 3.389375 2.369398 +179 3.403974 2.304683 +180 3.418789 2.241735 +181 3.433820 2.180507 +182 3.449074 2.120951 +183 3.464557 2.063022 +184 3.480276 2.006675 +185 3.496239 1.951866 +186 3.512455 1.898555 +187 3.528933 1.846700 +188 3.545680 1.796262 +189 3.562707 1.747201 +190 3.580022 1.699479 +191 3.597635 1.653062 +192 3.615556 1.607912 +193 3.633795 1.563995 +194 3.652362 1.521278 +195 3.671267 1.479727 +196 3.690522 1.439312 +197 3.710135 1.400000 +198 3.826341 1.200000 +199 3.980956 1.000000 diff --git a/2018-11-15/X134014.340 b/2018-11-15/X134014.340 new file mode 100644 index 0000000..89fee43 --- /dev/null +++ b/2018-11-15/X134014.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-11-15 +Serial Number: X134014 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.717540 330.0000 + 2 1.740294 310.0000 + 3 1.750464 301.5330 + 4 1.760684 293.2973 + 5 1.770950 285.2865 + 6 1.781255 277.4945 + 7 1.791594 269.9153 + 8 1.801963 262.5431 + 9 1.812354 255.3723 + 10 1.822762 248.3974 + 11 1.833181 241.6129 + 12 1.843610 235.0138 + 13 1.854044 228.5949 + 14 1.864481 222.3513 + 15 1.874918 216.2782 + 16 1.885352 210.3710 + 17 1.895780 204.6252 + 18 1.906200 199.0363 + 19 1.916607 193.6000 + 20 1.927001 188.3123 + 21 1.937376 183.1689 + 22 1.947731 178.1660 + 23 1.958063 173.2998 + 24 1.968369 168.5665 + 25 1.978646 163.9624 + 26 1.988891 159.4842 + 27 1.999102 155.1282 + 28 2.009276 150.8912 + 29 2.019411 146.7699 + 30 2.029505 142.7612 + 31 2.039556 138.8620 + 32 2.049564 135.0693 + 33 2.059525 131.3801 + 34 2.069440 127.7918 + 35 2.079306 124.3014 + 36 2.089123 120.9064 + 37 2.098896 117.6041 + 38 2.108627 114.3920 + 39 2.118319 111.2676 + 40 2.127978 108.2285 + 41 2.137606 105.2725 + 42 2.147206 102.3972 + 43 2.156777 99.60045 + 44 2.166316 96.88007 + 45 2.175818 94.23400 + 46 2.185280 91.66019 + 47 2.194699 89.15669 + 48 2.204070 86.72156 + 49 2.213392 84.35294 + 50 2.222667 82.04902 + 51 2.231901 79.80803 + 52 2.241099 77.62824 + 53 2.250265 75.50799 + 54 2.259400 73.44565 + 55 2.268502 71.43963 + 56 2.277572 69.48841 + 57 2.286611 67.59048 + 58 2.295618 65.74439 + 59 2.304592 63.94872 + 60 2.313535 62.20210 + 61 2.322445 60.50318 + 62 2.331324 58.85066 + 63 2.340170 57.24328 + 64 2.348984 55.67980 + 65 2.357766 54.15902 + 66 2.366515 52.67978 + 67 2.375232 51.24095 + 68 2.383917 49.84141 + 69 2.392570 48.48010 + 70 2.401190 47.15596 + 71 2.409778 45.86800 + 72 2.418333 44.61521 + 73 2.426856 43.39664 + 74 2.435346 42.21135 + 75 2.443804 41.05844 + 76 2.452229 39.93701 + 77 2.460622 38.84622 + 78 2.468982 37.78522 + 79 2.477310 36.75319 + 80 2.485605 35.74936 + 81 2.493869 34.77294 + 82 2.502102 33.82319 + 83 2.510303 32.89938 + 84 2.518474 32.00080 + 85 2.526616 31.12677 + 86 2.534729 30.27661 + 87 2.542813 29.44966 + 88 2.550870 28.64531 + 89 2.558900 27.86292 + 90 2.566905 27.10191 + 91 2.574883 26.36167 + 92 2.582838 25.64166 + 93 2.590768 24.94131 + 94 2.598675 24.26009 + 95 2.606560 23.59748 + 96 2.614424 22.95297 + 97 2.622271 22.32605 + 98 2.630101 21.71626 + 99 2.637918 21.12313 +100 2.645724 20.54620 +101 2.653520 19.98502 +102 2.661309 19.43917 +103 2.669093 18.90823 +104 2.676874 18.39179 +105 2.684653 17.88946 +106 2.692433 17.40085 +107 2.700216 16.92558 +108 2.708003 16.46329 +109 2.715796 16.01363 +110 2.723596 15.57626 +111 2.731407 15.15082 +112 2.739230 14.73701 +113 2.747067 14.33450 +114 2.754920 13.94298 +115 2.762791 13.56216 +116 2.770682 13.19174 +117 2.778596 12.83143 +118 2.786536 12.48097 +119 2.794505 12.14008 +120 2.802504 11.80850 +121 2.810538 11.48597 +122 2.818609 11.17226 +123 2.826721 10.86711 +124 2.834876 10.57030 +125 2.843079 10.28159 +126 2.851333 10.00077 +127 2.859641 9.727624 +128 2.868006 9.461935 +129 2.876429 9.203502 +130 2.884913 8.952128 +131 2.893458 8.707619 +132 2.902067 8.469789 +133 2.910741 8.238455 +134 2.919483 8.013439 +135 2.928295 7.794568 +136 2.937179 7.581676 +137 2.946138 7.374599 +138 2.955174 7.173177 +139 2.964289 6.977257 +140 2.973487 6.786688 +141 2.982770 6.601324 +142 2.992140 6.421023 +143 3.001601 6.245646 +144 3.011154 6.075059 +145 3.020804 5.909132 +146 3.030554 5.747736 +147 3.040407 5.590749 +148 3.050366 5.438050 +149 3.060435 5.289521 +150 3.070616 5.145049 +151 3.080910 5.004522 +152 3.091319 4.867834 +153 3.101847 4.734880 +154 3.112496 4.605557 +155 3.123267 4.479766 +156 3.134164 4.357410 +157 3.145188 4.238397 +158 3.156342 4.122634 +159 3.167630 4.010033 +160 3.179054 3.900507 +161 3.190620 3.793973 +162 3.202331 3.690349 +163 3.214192 3.589555 +164 3.226207 3.491514 +165 3.238380 3.396150 +166 3.250717 3.303392 +167 3.263223 3.213166 +168 3.275902 3.125406 +169 3.288759 3.040042 +170 3.301798 2.957009 +171 3.315024 2.876245 +172 3.328440 2.797686 +173 3.342052 2.721273 +174 3.355862 2.646948 +175 3.369874 2.574652 +176 3.384094 2.504331 +177 3.398524 2.435930 +178 3.413168 2.369398 +179 3.428030 2.304683 +180 3.443113 2.241735 +181 3.458418 2.180507 +182 3.473951 2.120951 +183 3.489720 2.063022 +184 3.505730 2.006675 +185 3.521992 1.951866 +186 3.538512 1.898555 +187 3.555300 1.846700 +188 3.572364 1.796262 +189 3.589714 1.747201 +190 3.607359 1.699479 +191 3.625309 1.653062 +192 3.643574 1.607912 +193 3.662165 1.563995 +194 3.681090 1.521278 +195 3.700361 1.479727 +196 3.719988 1.439312 +197 3.739982 1.400000 +198 3.858436 1.200000 +199 4.015980 1.000000 diff --git a/2018-11-15/X55918.340 b/2018-11-15/X55918.340 new file mode 100644 index 0000000..0825c1a --- /dev/null +++ b/2018-11-15/X55918.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD-HT-1.4L 2018-11-15 +Serial Number: X55918 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.758892 330.0000 + 2 1.784409 310.0000 + 3 1.795872 301.5330 + 4 1.807427 293.2973 + 5 1.819070 285.2865 + 6 1.830796 277.4945 + 7 1.842597 269.9153 + 8 1.854470 262.5431 + 9 1.866408 255.3723 + 10 1.878404 248.3974 + 11 1.890452 241.6129 + 12 1.902550 235.0138 + 13 1.914695 228.5949 + 14 1.926884 222.3513 + 15 1.939113 216.2782 + 16 1.951380 210.3710 + 17 1.963681 204.6252 + 18 1.976013 199.0363 + 19 1.988373 193.6000 + 20 2.000757 188.3123 + 21 2.013162 183.1689 + 22 2.025585 178.1660 + 23 2.038023 173.2998 + 24 2.050471 168.5665 + 25 2.062927 163.9624 + 26 2.075387 159.4842 + 27 2.087848 155.1282 + 28 2.100306 150.8912 + 29 2.112760 146.7699 + 30 2.125206 142.7612 + 31 2.137647 138.8620 + 32 2.150081 135.0693 + 33 2.162509 131.3801 + 34 2.174930 127.7918 + 35 2.187344 124.3014 + 36 2.199752 120.9064 + 37 2.212153 117.6041 + 38 2.224548 114.3920 + 39 2.236936 111.2676 + 40 2.249318 108.2285 + 41 2.261692 105.2725 + 42 2.274060 102.3972 + 43 2.286422 99.60045 + 44 2.298777 96.88007 + 45 2.311127 94.23400 + 46 2.323472 91.66019 + 47 2.335808 89.15669 + 48 2.348131 86.72156 + 49 2.360439 84.35294 + 50 2.372733 82.04902 + 51 2.385019 79.80803 + 52 2.397301 77.62824 + 53 2.409581 75.50799 + 54 2.421861 73.44565 + 55 2.434142 71.43963 + 56 2.446423 69.48841 + 57 2.458704 67.59048 + 58 2.470986 65.74439 + 59 2.483269 63.94872 + 60 2.495554 62.20210 + 61 2.507839 60.50318 + 62 2.520126 58.85066 + 63 2.532415 57.24328 + 64 2.544705 55.67980 + 65 2.556998 54.15902 + 66 2.569292 52.67978 + 67 2.581587 51.24095 + 68 2.593883 49.84141 + 69 2.606180 48.48010 + 70 2.618476 47.15596 + 71 2.630771 45.86800 + 72 2.643064 44.61521 + 73 2.655356 43.39664 + 74 2.667646 42.21135 + 75 2.679932 41.05844 + 76 2.692216 39.93701 + 77 2.704495 38.84622 + 78 2.716770 37.78522 + 79 2.729041 36.75319 + 80 2.741310 35.74936 + 81 2.753576 34.77294 + 82 2.765843 33.82319 + 83 2.778111 32.89938 + 84 2.790382 32.00080 + 85 2.802657 31.12677 + 86 2.814937 30.27661 + 87 2.827222 29.44966 + 88 2.839510 28.64531 + 89 2.851803 27.86292 + 90 2.864099 27.10191 + 91 2.876398 26.36167 + 92 2.888700 25.64166 + 93 2.901005 24.94131 + 94 2.913311 24.26009 + 95 2.925620 23.59748 + 96 2.937934 22.95297 + 97 2.950253 22.32605 + 98 2.962581 21.71626 + 99 2.974920 21.12313 +100 2.987272 20.54620 +101 2.999638 19.98502 +102 3.012022 19.43917 +103 3.024427 18.90823 +104 3.036854 18.39179 +105 3.049307 17.88946 +106 3.061789 17.40085 +107 3.074303 16.92558 +108 3.086851 16.46329 +109 3.099437 16.01363 +110 3.112063 15.57626 +111 3.124733 15.15082 +112 3.137449 14.73701 +113 3.150216 14.33450 +114 3.163036 13.94298 +115 3.175913 13.56216 +116 3.188848 13.19174 +117 3.201840 12.83143 +118 3.214890 12.48097 +119 3.227997 12.14008 +120 3.241161 11.80850 +121 3.254382 11.48597 +122 3.267661 11.17226 +123 3.281006 10.86711 +124 3.294426 10.57030 +125 3.307930 10.28159 +126 3.321528 10.00077 +127 3.335230 9.727624 +128 3.349043 9.461935 +129 3.362971 9.203502 +130 3.377018 8.952128 +131 3.391184 8.707619 +132 3.405471 8.469789 +133 3.419882 8.238455 +134 3.434416 8.013439 +135 3.449077 7.794568 +136 3.463868 7.581676 +137 3.478794 7.374599 +138 3.493859 7.173177 +139 3.509067 6.977257 +140 3.524423 6.786688 +141 3.539932 6.601324 +142 3.555600 6.421023 +143 3.571433 6.245646 +144 3.587438 6.075059 +145 3.603624 5.909132 +146 3.619999 5.747736 +147 3.636573 5.590749 +148 3.653355 5.438050 +149 3.670350 5.289521 +150 3.687556 5.145049 +151 3.704972 5.004522 +152 3.722597 4.867834 +153 3.740435 4.734880 +154 3.758493 4.605557 +155 3.776776 4.479766 +156 3.795289 4.357410 +157 3.814038 4.238397 +158 3.833031 4.122634 +159 3.852273 4.010033 +160 3.871774 3.900507 +161 3.891543 3.793973 +162 3.911590 3.690349 +163 3.931924 3.589555 +164 3.952556 3.491514 +165 3.973496 3.396150 +166 3.994756 3.303392 +167 4.016346 3.213166 +168 4.038276 3.125406 +169 4.060557 3.040042 +170 4.083197 2.957009 +171 4.106206 2.876245 +172 4.129594 2.797686 +173 4.153370 2.721273 +174 4.177545 2.646948 +175 4.202126 2.574652 +176 4.227120 2.504331 +177 4.252532 2.435930 +178 4.278364 2.369398 +179 4.304619 2.304683 +180 4.331297 2.241735 +181 4.358398 2.180507 +182 4.385929 2.120951 +183 4.413907 2.063022 +184 4.442353 2.006675 +185 4.471287 1.951866 +186 4.500733 1.898555 +187 4.530716 1.846700 +188 4.561260 1.796262 +189 4.592387 1.747201 +190 4.624112 1.699479 +191 4.656451 1.653062 +192 4.689418 1.607912 +193 4.723027 1.563995 +194 4.757293 1.521278 +195 4.792218 1.479727 +196 4.827698 1.439312 +197 4.863553 1.400000 +198 5.059337 1.200000 +199 5.222808 1.000000 diff --git a/2018-11-20/X131824.340 b/2018-11-20/X131824.340 new file mode 100644 index 0000000..ce37b6e --- /dev/null +++ b/2018-11-20/X131824.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU 2018-11-20 +Serial Number: X131824 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.858781 330.0000 + 2 1.885631 310.0000 + 3 1.897631 301.5330 + 4 1.909691 293.2973 + 5 1.921804 285.2865 + 6 1.933967 277.4945 + 7 1.946173 269.9153 + 8 1.958417 262.5431 + 9 1.970693 255.3723 + 10 1.982995 248.3974 + 11 1.995318 241.6129 + 12 2.007659 235.0138 + 13 2.020016 228.5949 + 14 2.032387 222.3513 + 15 2.044769 216.2782 + 16 2.057159 210.3710 + 17 2.069555 204.6252 + 18 2.081954 199.0363 + 19 2.094351 193.6000 + 20 2.106743 188.3123 + 21 2.119127 183.1689 + 22 2.131501 178.1660 + 23 2.143859 173.2998 + 24 2.156200 168.5665 + 25 2.168520 163.9624 + 26 2.180816 159.4842 + 27 2.193084 155.1282 + 28 2.205322 150.8912 + 29 2.217526 146.7699 + 30 2.229696 142.7612 + 31 2.241827 138.8620 + 32 2.253920 135.0693 + 33 2.265970 131.3801 + 34 2.277977 127.7918 + 35 2.289938 124.3014 + 36 2.301853 120.9064 + 37 2.313725 117.6041 + 38 2.325557 114.3920 + 39 2.337353 111.2676 + 40 2.349117 108.2285 + 41 2.360852 105.2725 + 42 2.372561 102.3972 + 43 2.384245 99.60045 + 44 2.395902 96.88007 + 45 2.407532 94.23400 + 46 2.419133 91.66019 + 47 2.430706 89.15669 + 48 2.442249 86.72156 + 49 2.453762 84.35294 + 50 2.465244 82.04902 + 51 2.476695 79.80803 + 52 2.488114 77.62824 + 53 2.499500 75.50799 + 54 2.510856 73.44565 + 55 2.522182 71.43963 + 56 2.533478 69.48841 + 57 2.544744 67.59048 + 58 2.555980 65.74439 + 59 2.567189 63.94872 + 60 2.578371 62.20210 + 61 2.589528 60.50318 + 62 2.600665 58.85066 + 63 2.611781 57.24328 + 64 2.622881 55.67980 + 65 2.633965 54.15902 + 66 2.645034 52.67978 + 67 2.656085 51.24095 + 68 2.667116 49.84141 + 69 2.678123 48.48010 + 70 2.689104 47.15596 + 71 2.700056 45.86800 + 72 2.710978 44.61521 + 73 2.721868 43.39664 + 74 2.732728 42.21135 + 75 2.743556 41.05844 + 76 2.754354 39.93701 + 77 2.765122 38.84622 + 78 2.775860 37.78522 + 79 2.786569 36.75319 + 80 2.797252 35.74936 + 81 2.807912 34.77294 + 82 2.818551 33.82319 + 83 2.829173 32.89938 + 84 2.839780 32.00080 + 85 2.850376 31.12677 + 86 2.860961 30.27661 + 87 2.871536 29.44966 + 88 2.882098 28.64531 + 89 2.892648 27.86292 + 90 2.903184 27.10191 + 91 2.913705 26.36167 + 92 2.924212 25.64166 + 93 2.934704 24.94131 + 94 2.945183 24.26009 + 95 2.955649 23.59748 + 96 2.966106 22.95297 + 97 2.976556 22.32605 + 98 2.987002 21.71626 + 99 2.997448 21.12313 +100 3.007896 20.54620 +101 3.018349 19.98502 +102 3.028810 19.43917 +103 3.039283 18.90823 +104 3.049770 18.39179 +105 3.060276 17.88946 +106 3.070803 17.40085 +107 3.081355 16.92558 +108 3.091935 16.46329 +109 3.102546 16.01363 +110 3.113192 15.57626 +111 3.123877 15.15082 +112 3.134604 14.73701 +113 3.145377 14.33450 +114 3.156199 13.94298 +115 3.167075 13.56216 +116 3.178007 13.19174 +117 3.188997 12.83143 +118 3.200048 12.48097 +119 3.211160 12.14008 +120 3.222336 11.80850 +121 3.233579 11.48597 +122 3.244891 11.17226 +123 3.256273 10.86711 +124 3.267729 10.57030 +125 3.279261 10.28159 +126 3.290879 10.00077 +127 3.302593 9.727624 +128 3.314415 9.461935 +129 3.326352 9.203502 +130 3.338406 8.952128 +131 3.350580 8.707619 +132 3.362877 8.469789 +133 3.375299 8.238455 +134 3.387848 8.013439 +135 3.400529 7.794568 +136 3.413343 7.581676 +137 3.426294 7.374599 +138 3.439387 7.173177 +139 3.452623 6.977257 +140 3.466006 6.786688 +141 3.479541 6.601324 +142 3.493231 6.421023 +143 3.507081 6.245646 +144 3.521096 6.075059 +145 3.535285 5.909132 +146 3.549652 5.747736 +147 3.564206 5.590749 +148 3.578954 5.438050 +149 3.593901 5.289521 +150 3.609053 5.145049 +151 3.624416 5.004522 +152 3.639996 4.867834 +153 3.655800 4.734880 +154 3.671838 4.605557 +155 3.688116 4.479766 +156 3.704635 4.357410 +157 3.721385 4.238397 +158 3.738360 4.122634 +159 3.755560 4.010033 +160 3.772996 3.900507 +161 3.790678 3.793973 +162 3.808618 3.690349 +163 3.826829 3.589555 +164 3.845325 3.491514 +165 3.864119 3.396150 +166 3.883220 3.303392 +167 3.902639 3.213166 +168 3.922385 3.125406 +169 3.942465 3.040042 +170 3.962888 2.957009 +171 3.983661 2.876245 +172 4.004791 2.797686 +173 4.026287 2.721273 +174 4.048155 2.646948 +175 4.070404 2.574652 +176 4.093041 2.504331 +177 4.116073 2.435930 +178 4.139509 2.369398 +179 4.163356 2.304683 +180 4.187620 2.241735 +181 4.212306 2.180507 +182 4.237420 2.120951 +183 4.262959 2.063022 +184 4.288919 2.006675 +185 4.315295 1.951866 +186 4.342113 1.898555 +187 4.369421 1.846700 +188 4.397265 1.796262 +189 4.425679 1.747201 +190 4.454671 1.699479 +191 4.484247 1.653062 +192 4.514415 1.607912 +193 4.545179 1.563995 +194 4.576542 1.521278 +195 4.608506 1.479727 +196 4.641072 1.439312 +197 4.674239 1.400000 +198 4.869463 1.200000 +199 5.120301 1.000000 diff --git a/2018-11-20/X132254.340 b/2018-11-20/X132254.340 new file mode 100644 index 0000000..b3591b4 --- /dev/null +++ b/2018-11-20/X132254.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-11-20 +Serial Number: X132254 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.865581 330.0000 + 2 1.889780 310.0000 + 3 1.900613 301.5330 + 4 1.911510 293.2973 + 5 1.922466 285.2865 + 6 1.933476 277.4945 + 7 1.944536 269.9153 + 8 1.955638 262.5431 + 9 1.966779 255.3723 + 10 1.977950 248.3974 + 11 1.989148 241.6129 + 12 2.000369 235.0138 + 13 2.011610 228.5949 + 14 2.022870 222.3513 + 15 2.034145 216.2782 + 16 2.045433 210.3710 + 17 2.056730 204.6252 + 18 2.068035 199.0363 + 19 2.079343 193.6000 + 20 2.090652 188.3123 + 21 2.101960 183.1689 + 22 2.113263 178.1660 + 23 2.124559 173.2998 + 24 2.135845 168.5665 + 25 2.147117 163.9624 + 26 2.158374 159.4842 + 27 2.169612 155.1282 + 28 2.180830 150.8912 + 29 2.192023 146.7699 + 30 2.203192 142.7612 + 31 2.214333 138.8620 + 32 2.225444 135.0693 + 33 2.236525 131.3801 + 34 2.247573 127.7918 + 35 2.258586 124.3014 + 36 2.269564 120.9064 + 37 2.280509 117.6041 + 38 2.291423 114.3920 + 39 2.302308 111.2676 + 40 2.313167 108.2285 + 41 2.324003 105.2725 + 42 2.334817 102.3972 + 43 2.345609 99.60045 + 44 2.356380 96.88007 + 45 2.367129 94.23400 + 46 2.377857 91.66019 + 47 2.388562 89.15669 + 48 2.399245 86.72156 + 49 2.409907 84.35294 + 50 2.420547 82.04902 + 51 2.431166 79.80803 + 52 2.441762 77.62824 + 53 2.452338 75.50799 + 54 2.462894 73.44565 + 55 2.473431 71.43963 + 56 2.483949 69.48841 + 57 2.494449 67.59048 + 58 2.504932 65.74439 + 59 2.515397 63.94872 + 60 2.525846 62.20210 + 61 2.536278 60.50318 + 62 2.546695 58.85066 + 63 2.557096 57.24328 + 64 2.567482 55.67980 + 65 2.577854 54.15902 + 66 2.588212 52.67978 + 67 2.598555 51.24095 + 68 2.608882 49.84141 + 69 2.619195 48.48010 + 70 2.629492 47.15596 + 71 2.639773 45.86800 + 72 2.650037 44.61521 + 73 2.660285 43.39664 + 74 2.670517 42.21135 + 75 2.680731 41.05844 + 76 2.690928 39.93701 + 77 2.701107 38.84622 + 78 2.711268 37.78522 + 79 2.721411 36.75319 + 80 2.731536 35.74936 + 81 2.741644 34.77294 + 82 2.751735 33.82319 + 83 2.761808 32.89938 + 84 2.771865 32.00080 + 85 2.781907 31.12677 + 86 2.791933 30.27661 + 87 2.801945 29.44966 + 88 2.811944 28.64531 + 89 2.821930 27.86292 + 90 2.831903 27.10191 + 91 2.841865 26.36167 + 92 2.851817 25.64166 + 93 2.861758 24.94131 + 94 2.871690 24.26009 + 95 2.881614 23.59748 + 96 2.891532 22.95297 + 97 2.901446 22.32605 + 98 2.911361 21.71626 + 99 2.921277 21.12313 +100 2.931198 20.54620 +101 2.941127 19.98502 +102 2.951066 19.43917 +103 2.961018 18.90823 +104 2.970985 18.39179 +105 2.980970 17.88946 +106 2.990974 17.40085 +107 3.001002 16.92558 +108 3.011054 16.46329 +109 3.021133 16.01363 +110 3.031243 15.57626 +111 3.041384 15.15082 +112 3.051561 14.73701 +113 3.061776 14.33450 +114 3.072032 13.94298 +115 3.082331 13.56216 +116 3.092677 13.19174 +117 3.103073 12.83143 +118 3.113522 12.48097 +119 3.124027 12.14008 +120 3.134592 11.80850 +121 3.145221 11.48597 +122 3.155918 11.17226 +123 3.166687 10.86711 +124 3.177532 10.57030 +125 3.188458 10.28159 +126 3.199469 10.00077 +127 3.210570 9.727624 +128 3.221764 9.461935 +129 3.233053 9.203502 +130 3.244440 8.952128 +131 3.255927 8.707619 +132 3.267518 8.469789 +133 3.279216 8.238455 +134 3.291024 8.013439 +135 3.302945 7.794568 +136 3.314984 7.581676 +137 3.327143 7.374599 +138 3.339428 7.173177 +139 3.351843 6.977257 +140 3.364390 6.786688 +141 3.377076 6.601324 +142 3.389904 6.421023 +143 3.402879 6.245646 +144 3.416005 6.075059 +145 3.429288 5.909132 +146 3.442733 5.747736 +147 3.456347 5.590749 +148 3.470134 5.438050 +149 3.484101 5.289521 +150 3.498250 5.145049 +151 3.512586 5.004522 +152 3.527113 4.867834 +153 3.541835 4.734880 +154 3.556757 4.605557 +155 3.571882 4.479766 +156 3.587215 4.357410 +157 3.602759 4.238397 +158 3.618520 4.122634 +159 3.634504 4.010033 +160 3.650715 3.900507 +161 3.667161 3.793973 +162 3.683849 3.690349 +163 3.700786 3.589555 +164 3.717980 3.491514 +165 3.735437 3.396150 +166 3.753166 3.303392 +167 3.771176 3.213166 +168 3.789476 3.125406 +169 3.808071 3.040042 +170 3.826971 2.957009 +171 3.846182 2.876245 +172 3.865712 2.797686 +173 3.885567 2.721273 +174 3.905755 2.646948 +175 3.926284 2.574652 +176 3.947160 2.504331 +177 3.968390 2.435930 +178 3.989980 2.369398 +179 4.011939 2.304683 +180 4.034269 2.241735 +181 4.056978 2.180507 +182 4.080072 2.120951 +183 4.103563 2.063022 +184 4.127465 2.006675 +185 4.151790 1.951866 +186 4.176551 1.898555 +187 4.201764 1.846700 +188 4.227442 1.796262 +189 4.253600 1.747201 +190 4.280254 1.699479 +191 4.307419 1.653062 +192 4.335111 1.607912 +193 4.363347 1.563995 +194 4.392142 1.521278 +195 4.421513 1.479727 +196 4.451476 1.439312 +197 4.482048 1.400000 +198 4.664046 1.200000 +199 4.907708 1.000000 diff --git a/2018-11-20/X133928.340 b/2018-11-20/X133928.340 new file mode 100644 index 0000000..f088484 --- /dev/null +++ b/2018-11-20/X133928.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-11-20 +Serial Number: X133928 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.720428 330.0000 + 2 1.743331 310.0000 + 3 1.753570 301.5330 + 4 1.763858 293.2973 + 5 1.774192 285.2865 + 6 1.784566 277.4945 + 7 1.794975 269.9153 + 8 1.805412 262.5431 + 9 1.815872 255.3723 + 10 1.826348 248.3974 + 11 1.836835 241.6129 + 12 1.847331 235.0138 + 13 1.857831 228.5949 + 14 1.868333 222.3513 + 15 1.878834 216.2782 + 16 1.889330 210.3710 + 17 1.899820 204.6252 + 18 1.910299 199.0363 + 19 1.920764 193.6000 + 20 1.931213 188.3123 + 21 1.941642 183.1689 + 22 1.952049 178.1660 + 23 1.962430 173.2998 + 24 1.972782 168.5665 + 25 1.983103 163.9624 + 26 1.993389 159.4842 + 27 2.003638 155.1282 + 28 2.013848 150.8912 + 29 2.024015 146.7699 + 30 2.034139 142.7612 + 31 2.044220 138.8620 + 32 2.054259 135.0693 + 33 2.064256 131.3801 + 34 2.074211 127.7918 + 35 2.084124 124.3014 + 36 2.093996 120.9064 + 37 2.103827 117.6041 + 38 2.113618 114.3920 + 39 2.123368 111.2676 + 40 2.133078 108.2285 + 41 2.142748 105.2725 + 42 2.152379 102.3972 + 43 2.161971 99.60045 + 44 2.171522 96.88007 + 45 2.181034 94.23400 + 46 2.190507 91.66019 + 47 2.199941 89.15669 + 48 2.209337 86.72156 + 49 2.218694 84.35294 + 50 2.228014 82.04902 + 51 2.237297 79.80803 + 52 2.246543 77.62824 + 53 2.255753 75.50799 + 54 2.264927 73.44565 + 55 2.274067 71.43963 + 56 2.283171 69.48841 + 57 2.292242 67.59048 + 58 2.301278 65.74439 + 59 2.310280 63.94872 + 60 2.319249 62.20210 + 61 2.328184 60.50318 + 62 2.337086 58.85066 + 63 2.345955 57.24328 + 64 2.354792 55.67980 + 65 2.363596 54.15902 + 66 2.372368 52.67978 + 67 2.381107 51.24095 + 68 2.389815 49.84141 + 69 2.398489 48.48010 + 70 2.407131 47.15596 + 71 2.415741 45.86800 + 72 2.424318 44.61521 + 73 2.432863 43.39664 + 74 2.441375 42.21135 + 75 2.449854 41.05844 + 76 2.458301 39.93701 + 77 2.466715 38.84622 + 78 2.475096 37.78522 + 79 2.483445 36.75319 + 80 2.491761 35.74936 + 81 2.500046 34.77294 + 82 2.508299 33.82319 + 83 2.516521 32.89938 + 84 2.524713 32.00080 + 85 2.532875 31.12677 + 86 2.541008 30.27661 + 87 2.549112 29.44966 + 88 2.557189 28.64531 + 89 2.565239 27.86292 + 90 2.573263 27.10191 + 91 2.581262 26.36167 + 92 2.589235 25.64166 + 93 2.597185 24.94131 + 94 2.605111 24.26009 + 95 2.613015 23.59748 + 96 2.620899 22.95297 + 97 2.628764 22.32605 + 98 2.636614 21.71626 + 99 2.644450 21.12313 +100 2.652274 20.54620 +101 2.660089 19.98502 +102 2.667897 19.43917 +103 2.675699 18.90823 +104 2.683498 18.39179 +105 2.691296 17.88946 +106 2.699095 17.40085 +107 2.706896 16.92558 +108 2.714701 16.46329 +109 2.722512 16.01363 +110 2.730331 15.57626 +111 2.738160 15.15082 +112 2.746002 14.73701 +113 2.753857 14.33450 +114 2.761728 13.94298 +115 2.769617 13.56216 +116 2.777526 13.19174 +117 2.785459 12.83143 +118 2.793418 12.48097 +119 2.801405 12.14008 +120 2.809423 11.80850 +121 2.817476 11.48597 +122 2.825567 11.17226 +123 2.833699 10.86711 +124 2.841874 10.57030 +125 2.850098 10.28159 +126 2.858374 10.00077 +127 2.866705 9.727624 +128 2.875093 9.461935 +129 2.883540 9.203502 +130 2.892048 8.952128 +131 2.900619 8.707619 +132 2.909254 8.469789 +133 2.917956 8.238455 +134 2.926726 8.013439 +135 2.935566 7.794568 +136 2.944480 7.581676 +137 2.953469 7.374599 +138 2.962536 7.173177 +139 2.971684 6.977257 +140 2.980914 6.786688 +141 2.990230 6.601324 +142 2.999635 6.421023 +143 3.009131 6.245646 +144 3.018720 6.075059 +145 3.028407 5.909132 +146 3.038194 5.747736 +147 3.048085 5.590749 +148 3.058083 5.438050 +149 3.068192 5.289521 +150 3.078412 5.145049 +151 3.088747 5.004522 +152 3.099199 4.867834 +153 3.109769 4.734880 +154 3.120461 4.605557 +155 3.131276 4.479766 +156 3.142218 4.357410 +157 3.153288 4.238397 +158 3.164489 4.122634 +159 3.175825 4.010033 +160 3.187299 3.900507 +161 3.198915 3.793973 +162 3.210679 3.690349 +163 3.222593 3.589555 +164 3.234663 3.491514 +165 3.246893 3.396150 +166 3.259289 3.303392 +167 3.271855 3.213166 +168 3.284598 3.125406 +169 3.297520 3.040042 +170 3.310628 2.957009 +171 3.323924 2.876245 +172 3.337414 2.797686 +173 3.351102 2.721273 +174 3.364992 2.646948 +175 3.379089 2.574652 +176 3.393395 2.504331 +177 3.407915 2.435930 +178 3.422652 2.369398 +179 3.437610 2.304683 +180 3.452790 2.241735 +181 3.468195 2.180507 +182 3.483829 2.120951 +183 3.499698 2.063022 +184 3.515811 2.006675 +185 3.532173 1.951866 +186 3.548794 1.898555 +187 3.565681 1.846700 +188 3.582841 1.796262 +189 3.600287 1.747201 +190 3.618031 1.699479 +191 3.636089 1.653062 +192 3.654474 1.607912 +193 3.673205 1.563995 +194 3.692296 1.521278 +195 3.711766 1.479727 +196 3.731633 1.439312 +197 3.751918 1.400000 +198 3.873396 1.200000 +199 4.040199 1.000000 diff --git a/2018-11-20/X133982.340 b/2018-11-20/X133982.340 new file mode 100644 index 0000000..0ffe57b --- /dev/null +++ b/2018-11-20/X133982.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-11-20 +Serial Number: X133982 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.712694 330.0000 + 2 1.735361 310.0000 + 3 1.745495 301.5330 + 4 1.755679 293.2973 + 5 1.765909 285.2865 + 6 1.776179 277.4945 + 7 1.786484 269.9153 + 8 1.796818 262.5431 + 9 1.807174 255.3723 + 10 1.817548 248.3974 + 11 1.827932 241.6129 + 12 1.838325 235.0138 + 13 1.848724 228.5949 + 14 1.859124 222.3513 + 15 1.869524 216.2782 + 16 1.879920 210.3710 + 17 1.890308 204.6252 + 18 1.900687 199.0363 + 19 1.911052 193.6000 + 20 1.921402 188.3123 + 21 1.931731 183.1689 + 22 1.942039 178.1660 + 23 1.952321 173.2998 + 24 1.962574 168.5665 + 25 1.972797 163.9624 + 26 1.982985 159.4842 + 27 1.993136 155.1282 + 28 2.003248 150.8912 + 29 2.013317 146.7699 + 30 2.023344 142.7612 + 31 2.033327 138.8620 + 32 2.043269 135.0693 + 33 2.053167 131.3801 + 34 2.063024 127.7918 + 35 2.072838 124.3014 + 36 2.082610 120.9064 + 37 2.092340 117.6041 + 38 2.102029 114.3920 + 39 2.111676 111.2676 + 40 2.121282 108.2285 + 41 2.130847 105.2725 + 42 2.140371 102.3972 + 43 2.149854 99.60045 + 44 2.159296 96.88007 + 45 2.168698 94.23400 + 46 2.178061 91.66019 + 47 2.187385 89.15669 + 48 2.196671 86.72156 + 49 2.205920 84.35294 + 50 2.215132 82.04902 + 51 2.224309 79.80803 + 52 2.233450 77.62824 + 53 2.242558 75.50799 + 54 2.251631 73.44565 + 55 2.260671 71.43963 + 56 2.269677 69.48841 + 57 2.278650 67.59048 + 58 2.287589 65.74439 + 59 2.296495 63.94872 + 60 2.305367 62.20210 + 61 2.314206 60.50318 + 62 2.323011 58.85066 + 63 2.331783 57.24328 + 64 2.340522 55.67980 + 65 2.349228 54.15902 + 66 2.357900 52.67978 + 67 2.366539 51.24095 + 68 2.375144 49.84141 + 69 2.383717 48.48010 + 70 2.392256 47.15596 + 71 2.400762 45.86800 + 72 2.409236 44.61521 + 73 2.417676 43.39664 + 74 2.426083 42.21135 + 75 2.434457 41.05844 + 76 2.442798 39.93701 + 77 2.451106 38.84622 + 78 2.459381 37.78522 + 79 2.467624 36.75319 + 80 2.475834 35.74936 + 81 2.484012 34.77294 + 82 2.492159 33.82319 + 83 2.500274 32.89938 + 84 2.508358 32.00080 + 85 2.516413 31.12677 + 86 2.524438 30.27661 + 87 2.532435 29.44966 + 88 2.540404 28.64531 + 89 2.548346 27.86292 + 90 2.556261 27.10191 + 91 2.564151 26.36167 + 92 2.572015 25.64166 + 93 2.579855 24.94131 + 94 2.587671 24.26009 + 95 2.595465 23.59748 + 96 2.603238 22.95297 + 97 2.610992 22.32605 + 98 2.618729 21.71626 + 99 2.626453 21.12313 +100 2.634164 20.54620 +101 2.641866 19.98502 +102 2.649559 19.43917 +103 2.657247 18.90823 +104 2.664931 18.39179 +105 2.672613 17.88946 +106 2.680295 17.40085 +107 2.687978 16.92558 +108 2.695666 16.46329 +109 2.703359 16.01363 +110 2.711060 15.57626 +111 2.718770 15.15082 +112 2.726491 14.73701 +113 2.734227 14.33450 +114 2.741978 13.94298 +115 2.749747 13.56216 +116 2.757535 13.19174 +117 2.765347 12.83143 +118 2.773184 12.48097 +119 2.781048 12.14008 +120 2.788944 11.80850 +121 2.796872 11.48597 +122 2.804837 11.17226 +123 2.812842 10.86711 +124 2.820890 10.57030 +125 2.828984 10.28159 +126 2.837128 10.00077 +127 2.845325 9.727624 +128 2.853577 9.461935 +129 2.861887 9.203502 +130 2.870255 8.952128 +131 2.878683 8.707619 +132 2.887174 8.469789 +133 2.895728 8.238455 +134 2.904349 8.013439 +135 2.913038 7.794568 +136 2.921797 7.581676 +137 2.930629 7.374599 +138 2.939537 7.173177 +139 2.948522 6.977257 +140 2.957588 6.786688 +141 2.966737 6.601324 +142 2.975971 6.421023 +143 2.985294 6.245646 +144 2.994707 6.075059 +145 3.004215 5.909132 +146 3.013820 5.747736 +147 3.023527 5.590749 +148 3.033337 5.438050 +149 3.043254 5.289521 +150 3.053281 5.145049 +151 3.063418 5.004522 +152 3.073669 4.867834 +153 3.084035 4.734880 +154 3.094519 4.605557 +155 3.105123 4.479766 +156 3.115849 4.357410 +157 3.126700 4.238397 +158 3.137679 4.122634 +159 3.148788 4.010033 +160 3.160031 3.900507 +161 3.171412 3.793973 +162 3.182935 3.690349 +163 3.194605 3.589555 +164 3.206425 3.491514 +165 3.218401 3.396150 +166 3.230537 3.303392 +167 3.242837 3.213166 +168 3.255308 3.125406 +169 3.267954 3.040042 +170 3.280777 2.957009 +171 3.293784 2.876245 +172 3.306977 2.797686 +173 3.320362 2.721273 +174 3.333941 2.646948 +175 3.347719 2.574652 +176 3.361699 2.504331 +177 3.375886 2.435930 +178 3.390282 2.369398 +179 3.404890 2.304683 +180 3.419713 2.241735 +181 3.434753 2.180507 +182 3.450014 2.120951 +183 3.465502 2.063022 +184 3.481225 2.006675 +185 3.497190 1.951866 +186 3.513404 1.898555 +187 3.529875 1.846700 +188 3.546612 1.796262 +189 3.563625 1.747201 +190 3.580926 1.699479 +191 3.598531 1.653062 +192 3.616454 1.607912 +193 3.634710 1.563995 +194 3.653315 1.521278 +195 3.672287 1.479727 +196 3.691643 1.439312 +197 3.711403 1.400000 +198 3.829676 1.200000 +199 3.991910 1.000000 diff --git a/2018-11-22/X131824.340 b/2018-11-22/X131824.340 new file mode 100644 index 0000000..e8ab54d --- /dev/null +++ b/2018-11-22/X131824.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU 2018-11-22 +Serial Number: X131824 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.858774 330.0000 + 2 1.885621 310.0000 + 3 1.897623 301.5330 + 4 1.909686 293.2973 + 5 1.921805 285.2865 + 6 1.933974 277.4945 + 7 1.946187 269.9153 + 8 1.958439 262.5431 + 9 1.970722 255.3723 + 10 1.983031 248.3974 + 11 1.995360 241.6129 + 12 2.007706 235.0138 + 13 2.020066 228.5949 + 14 2.032437 222.3513 + 15 2.044817 216.2782 + 16 2.057203 210.3710 + 17 2.069591 204.6252 + 18 2.081979 199.0363 + 19 2.094365 193.6000 + 20 2.106744 188.3123 + 21 2.119115 183.1689 + 22 2.131474 178.1660 + 23 2.143819 173.2998 + 24 2.156146 168.5665 + 25 2.168453 163.9624 + 26 2.180737 159.4842 + 27 2.192996 155.1282 + 28 2.205226 150.8912 + 29 2.217425 146.7699 + 30 2.229591 142.7612 + 31 2.241724 138.8620 + 32 2.253822 135.0693 + 33 2.265887 131.3801 + 34 2.277915 127.7918 + 35 2.289909 124.3014 + 36 2.301866 120.9064 + 37 2.313787 117.6041 + 38 2.325670 114.3920 + 39 2.337516 111.2676 + 40 2.349324 108.2285 + 41 2.361094 105.2725 + 42 2.372825 102.3972 + 43 2.384516 99.60045 + 44 2.396168 96.88007 + 45 2.407782 94.23400 + 46 2.419360 91.66019 + 47 2.430902 89.15669 + 48 2.442411 86.72156 + 49 2.453889 84.35294 + 50 2.465336 82.04902 + 51 2.476754 79.80803 + 52 2.488144 77.62824 + 53 2.499509 75.50799 + 54 2.510848 73.44565 + 55 2.522162 71.43963 + 56 2.533452 69.48841 + 57 2.544716 67.59048 + 58 2.555957 65.74439 + 59 2.567173 63.94872 + 60 2.578364 62.20210 + 61 2.589531 60.50318 + 62 2.600675 58.85066 + 63 2.611794 57.24328 + 64 2.622889 55.67980 + 65 2.633961 54.15902 + 66 2.645009 52.67978 + 67 2.656033 51.24095 + 68 2.667034 49.84141 + 69 2.678012 48.48010 + 70 2.688966 47.15596 + 71 2.699897 45.86800 + 72 2.710805 44.61521 + 73 2.721690 43.39664 + 74 2.732553 42.21135 + 75 2.743392 41.05844 + 76 2.754209 39.93701 + 77 2.765004 38.84622 + 78 2.775776 37.78522 + 79 2.786525 36.75319 + 80 2.797252 35.74936 + 81 2.807956 34.77294 + 82 2.818636 33.82319 + 83 2.829294 32.89938 + 84 2.839928 32.00080 + 85 2.850540 31.12677 + 86 2.861129 30.27661 + 87 2.871698 29.44966 + 88 2.882246 28.64531 + 89 2.892777 27.86292 + 90 2.903291 27.10191 + 91 2.913789 26.36167 + 92 2.924274 25.64166 + 93 2.934746 24.94131 + 94 2.945207 24.26009 + 95 2.955659 23.59748 + 96 2.966104 22.95297 + 97 2.976544 22.32605 + 98 2.986983 21.71626 + 99 2.997424 21.12313 +100 3.007870 20.54620 +101 3.018323 19.98502 +102 3.028786 19.43917 +103 3.039261 18.90823 +104 3.049753 18.39179 +105 3.060264 17.88946 +106 3.070796 17.40085 +107 3.081352 16.92558 +108 3.091935 16.46329 +109 3.102548 16.01363 +110 3.113194 15.57626 +111 3.123875 15.15082 +112 3.134596 14.73701 +113 3.145358 14.33450 +114 3.156165 13.94298 +115 3.167021 13.56216 +116 3.177928 13.19174 +117 3.188891 12.83143 +118 3.199914 12.48097 +119 3.210999 12.14008 +120 3.222152 11.80850 +121 3.233376 11.48597 +122 3.244676 11.17226 +123 3.256057 10.86711 +124 3.267524 10.57030 +125 3.279081 10.28159 +126 3.290735 10.00077 +127 3.302490 9.727624 +128 3.314350 9.461935 +129 3.326317 9.203502 +130 3.338394 8.952128 +131 3.350584 8.707619 +132 3.362891 8.469789 +133 3.375318 8.238455 +134 3.387868 8.013439 +135 3.400545 7.794568 +136 3.413354 7.581676 +137 3.426298 7.374599 +138 3.439382 7.173177 +139 3.452610 6.977257 +140 3.465987 6.786688 +141 3.479518 6.601324 +142 3.493207 6.421023 +143 3.507060 6.245646 +144 3.521081 6.075059 +145 3.535276 5.909132 +146 3.549652 5.747736 +147 3.564214 5.590749 +148 3.578969 5.438050 +149 3.593921 5.289521 +150 3.609077 5.145049 +151 3.624439 5.004522 +152 3.640012 4.867834 +153 3.655802 4.734880 +154 3.671812 4.605557 +155 3.688048 4.479766 +156 3.704514 4.357410 +157 3.721215 4.238397 +158 3.738155 4.122634 +159 3.755342 4.010033 +160 3.772782 3.900507 +161 3.790483 3.793973 +162 3.808451 3.690349 +163 3.826696 3.589555 +164 3.845225 3.491514 +165 3.864047 3.396150 +166 3.883172 3.303392 +167 3.902607 3.213166 +168 3.922364 3.125406 +169 3.942449 3.040042 +170 3.962873 2.957009 +171 3.983642 2.876245 +172 4.004766 2.797686 +173 4.026252 2.721273 +174 4.048108 2.646948 +175 4.070343 2.574652 +176 4.092964 2.504331 +177 4.115978 2.435930 +178 4.139394 2.369398 +179 4.163217 2.304683 +180 4.187452 2.241735 +181 4.212107 2.180507 +182 4.237187 2.120951 +183 4.262707 2.063022 +184 4.288680 2.006675 +185 4.315118 1.951866 +186 4.342036 1.898555 +187 4.369449 1.846700 +188 4.397372 1.796262 +189 4.425820 1.747201 +190 4.454809 1.699479 +191 4.484355 1.653062 +192 4.514474 1.607912 +193 4.545181 1.563995 +194 4.576494 1.521278 +195 4.608428 1.479727 +196 4.640999 1.439312 +197 4.674224 1.400000 +198 4.871743 1.200000 +199 5.135017 1.000000 diff --git a/2018-11-22/X132254.340 b/2018-11-22/X132254.340 new file mode 100644 index 0000000..223c96d --- /dev/null +++ b/2018-11-22/X132254.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-11-22 +Serial Number: X132254 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.865614 330.0000 + 2 1.889791 310.0000 + 3 1.900617 301.5330 + 4 1.911508 293.2973 + 5 1.922459 285.2865 + 6 1.933466 277.4945 + 7 1.944522 269.9153 + 8 1.955623 262.5431 + 9 1.966762 255.3723 + 10 1.977933 248.3974 + 11 1.989131 241.6129 + 12 2.000352 235.0138 + 13 2.011595 228.5949 + 14 2.022856 222.3513 + 15 2.034132 216.2782 + 16 2.045421 210.3710 + 17 2.056720 204.6252 + 18 2.068025 199.0363 + 19 2.079333 193.6000 + 20 2.090643 188.3123 + 21 2.101950 183.1689 + 22 2.113252 178.1660 + 23 2.124546 173.2998 + 24 2.135828 168.5665 + 25 2.147097 163.9624 + 26 2.158348 159.4842 + 27 2.169580 155.1282 + 28 2.180790 150.8912 + 29 2.191974 146.7699 + 30 2.203132 142.7612 + 31 2.214265 138.8620 + 32 2.225370 135.0693 + 33 2.236449 131.3801 + 34 2.247502 127.7918 + 35 2.258527 124.3014 + 36 2.269525 120.9064 + 37 2.280495 117.6041 + 38 2.291438 114.3920 + 39 2.302353 111.2676 + 40 2.313241 108.2285 + 41 2.324100 105.2725 + 42 2.334930 102.3972 + 43 2.345733 99.60045 + 44 2.356507 96.88007 + 45 2.367254 94.23400 + 46 2.377974 91.66019 + 47 2.388670 89.15669 + 48 2.399342 86.72156 + 49 2.409992 84.35294 + 50 2.420620 82.04902 + 51 2.431227 79.80803 + 52 2.441815 77.62824 + 53 2.452385 75.50799 + 54 2.462936 73.44565 + 55 2.473471 71.43963 + 56 2.483988 69.48841 + 57 2.494488 67.59048 + 58 2.504971 65.74439 + 59 2.515437 63.94872 + 60 2.525886 62.20210 + 61 2.536318 60.50318 + 62 2.546733 58.85066 + 63 2.557131 57.24328 + 64 2.567512 55.67980 + 65 2.577877 54.15902 + 66 2.588226 52.67978 + 67 2.598557 51.24095 + 68 2.608873 49.84141 + 69 2.619172 48.48010 + 70 2.629454 47.15596 + 71 2.639721 45.86800 + 72 2.649971 44.61521 + 73 2.660205 43.39664 + 74 2.670423 42.21135 + 75 2.680625 41.05844 + 76 2.690811 39.93701 + 77 2.700981 38.84622 + 78 2.711136 37.78522 + 79 2.721275 36.75319 + 80 2.731398 35.74936 + 81 2.741506 34.77294 + 82 2.751598 33.82319 + 83 2.761676 32.89938 + 84 2.771738 32.00080 + 85 2.781786 31.12677 + 86 2.791820 30.27661 + 87 2.801841 29.44966 + 88 2.811849 28.64531 + 89 2.821845 27.86292 + 90 2.831829 27.10191 + 91 2.841802 26.36167 + 92 2.851764 25.64166 + 93 2.861717 24.94131 + 94 2.871660 24.26009 + 95 2.881594 23.59748 + 96 2.891522 22.95297 + 97 2.901446 22.32605 + 98 2.911369 21.71626 + 99 2.921293 21.12313 +100 2.931221 20.54620 +101 2.941156 19.98502 +102 2.951099 19.43917 +103 2.961053 18.90823 +104 2.971021 18.39179 +105 2.981006 17.88946 +106 2.991009 17.40085 +107 3.001034 16.92558 +108 3.011083 16.46329 +109 3.021159 16.01363 +110 3.031264 15.57626 +111 3.041400 15.15082 +112 3.051571 14.73701 +113 3.061780 14.33450 +114 3.072029 13.94298 +115 3.082321 13.56216 +116 3.092659 13.19174 +117 3.103047 12.83143 +118 3.113488 12.48097 +119 3.123986 12.14008 +120 3.134544 11.80850 +121 3.145166 11.48597 +122 3.155856 11.17226 +123 3.166619 10.86711 +124 3.177458 10.57030 +125 3.188379 10.28159 +126 3.199386 10.00077 +127 3.210485 9.727624 +128 3.221677 9.461935 +129 3.232965 9.203502 +130 3.244352 8.952128 +131 3.255840 8.707619 +132 3.267433 8.469789 +133 3.279133 8.238455 +134 3.290945 8.013439 +135 3.302870 7.794568 +136 3.314913 7.581676 +137 3.327078 7.374599 +138 3.339368 7.173177 +139 3.351788 6.977257 +140 3.364342 6.786688 +141 3.377034 6.601324 +142 3.389868 6.421023 +143 3.402849 6.245646 +144 3.415981 6.075059 +145 3.429269 5.909132 +146 3.442720 5.747736 +147 3.456338 5.590749 +148 3.470129 5.438050 +149 3.484097 5.289521 +150 3.498247 5.145049 +151 3.512583 5.004522 +152 3.527108 4.867834 +153 3.541827 4.734880 +154 3.556743 4.605557 +155 3.571861 4.479766 +156 3.587186 4.357410 +157 3.602721 4.238397 +158 3.618471 4.122634 +159 3.634442 4.010033 +160 3.650640 3.900507 +161 3.667072 3.793973 +162 3.683745 3.690349 +163 3.700667 3.589555 +164 3.717846 3.491514 +165 3.735290 3.396150 +166 3.753007 3.303392 +167 3.771007 3.213166 +168 3.789298 3.125406 +169 3.807890 3.040042 +170 3.826789 2.957009 +171 3.846003 2.876245 +172 3.865539 2.797686 +173 3.885403 2.721273 +174 3.905603 2.646948 +175 3.926145 2.574652 +176 3.947036 2.504331 +177 3.968282 2.435930 +178 3.989890 2.369398 +179 4.011864 2.304683 +180 4.034211 2.241735 +181 4.056934 2.180507 +182 4.080042 2.120951 +183 4.103545 2.063022 +184 4.127457 2.006675 +185 4.151788 1.951866 +186 4.176554 1.898555 +187 4.201766 1.846700 +188 4.227439 1.796262 +189 4.253586 1.747201 +190 4.280223 1.699479 +191 4.307364 1.653062 +192 4.335024 1.607912 +193 4.363218 1.563995 +194 4.391961 1.521278 +195 4.421269 1.479727 +196 4.451155 1.439312 +197 4.481635 1.400000 +198 4.662771 1.200000 +199 4.904224 1.000000 diff --git a/2018-11-22/X133928.340 b/2018-11-22/X133928.340 new file mode 100644 index 0000000..98cdb16 --- /dev/null +++ b/2018-11-22/X133928.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-11-22 +Serial Number: X133928 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.720409 330.0000 + 2 1.743327 310.0000 + 3 1.753570 301.5330 + 4 1.763862 293.2973 + 5 1.774198 285.2865 + 6 1.784573 277.4945 + 7 1.794982 269.9153 + 8 1.805419 262.5431 + 9 1.815879 255.3723 + 10 1.826354 248.3974 + 11 1.836839 241.6129 + 12 1.847333 235.0138 + 13 1.857831 228.5949 + 14 1.868332 222.3513 + 15 1.878831 216.2782 + 16 1.889327 210.3710 + 17 1.899815 204.6252 + 18 1.910294 199.0363 + 19 1.920760 193.6000 + 20 1.931211 188.3123 + 21 1.941643 183.1689 + 22 1.952053 178.1660 + 23 1.962440 173.2998 + 24 1.972798 168.5665 + 25 1.983127 163.9624 + 26 1.993424 159.4842 + 27 2.003684 155.1282 + 28 2.013907 150.8912 + 29 2.024090 146.7699 + 30 2.034230 142.7612 + 31 2.044330 138.8620 + 32 2.054387 135.0693 + 33 2.064401 131.3801 + 34 2.074373 127.7918 + 35 2.084302 124.3014 + 36 2.094187 120.9064 + 37 2.104029 117.6041 + 38 2.113827 114.3920 + 39 2.123581 111.2676 + 40 2.133291 108.2285 + 41 2.142956 105.2725 + 42 2.152576 102.3972 + 43 2.162152 99.60045 + 44 2.171682 96.88007 + 45 2.181169 94.23400 + 46 2.190615 91.66019 + 47 2.200019 89.15669 + 48 2.209385 86.72156 + 49 2.218714 84.35294 + 50 2.228008 82.04902 + 51 2.237267 79.80803 + 52 2.246493 77.62824 + 53 2.255688 75.50799 + 54 2.264852 73.44565 + 55 2.273985 71.43963 + 56 2.283087 69.48841 + 57 2.292157 67.59048 + 58 2.301196 65.74439 + 59 2.310204 63.94872 + 60 2.319180 62.20210 + 61 2.328124 60.50318 + 62 2.337036 58.85066 + 63 2.345915 57.24328 + 64 2.354763 55.67980 + 65 2.363578 54.15902 + 66 2.372360 52.67978 + 67 2.381110 51.24095 + 68 2.389827 49.84141 + 69 2.398511 48.48010 + 70 2.407162 47.15596 + 71 2.415780 45.86800 + 72 2.424364 44.61521 + 73 2.432915 43.39664 + 74 2.441432 42.21135 + 75 2.449916 41.05844 + 76 2.458365 39.93701 + 77 2.466781 38.84622 + 78 2.475163 37.78522 + 79 2.483512 36.75319 + 80 2.491827 35.74936 + 81 2.500110 34.77294 + 82 2.508361 33.82319 + 83 2.516580 32.89938 + 84 2.524768 32.00080 + 85 2.532926 31.12677 + 86 2.541054 30.27661 + 87 2.549153 29.44966 + 88 2.557224 28.64531 + 89 2.565268 27.86292 + 90 2.573285 27.10191 + 91 2.581276 26.36167 + 92 2.589243 25.64166 + 93 2.597185 24.94131 + 94 2.605103 24.26009 + 95 2.612999 23.59748 + 96 2.620874 22.95297 + 97 2.628731 22.32605 + 98 2.636572 21.71626 + 99 2.644399 21.12313 +100 2.652214 20.54620 +101 2.660020 19.98502 +102 2.667819 19.43917 +103 2.675613 18.90823 +104 2.683404 18.39179 +105 2.691194 17.88946 +106 2.698985 17.40085 +107 2.706779 16.92558 +108 2.714578 16.46329 +109 2.722384 16.01363 +110 2.730200 15.57626 +111 2.738026 15.15082 +112 2.745866 14.73701 +113 2.753721 14.33450 +114 2.761594 13.94298 +115 2.769486 13.56216 +116 2.777401 13.19174 +117 2.785341 12.83143 +118 2.793307 12.48097 +119 2.801304 12.14008 +120 2.809333 11.80850 +121 2.817397 11.48597 +122 2.825500 11.17226 +123 2.833644 10.86711 +124 2.841832 10.57030 +125 2.850069 10.28159 +126 2.858357 10.00077 +127 2.866700 9.727624 +128 2.875100 9.461935 +129 2.883558 9.203502 +130 2.892075 8.952128 +131 2.900655 8.707619 +132 2.909298 8.469789 +133 2.918006 8.238455 +134 2.926782 8.013439 +135 2.935627 7.794568 +136 2.944545 7.581676 +137 2.953537 7.374599 +138 2.962606 7.173177 +139 2.971755 6.977257 +140 2.980986 6.786688 +141 2.990301 6.601324 +142 2.999705 6.421023 +143 3.009198 6.245646 +144 3.018784 6.075059 +145 3.028467 5.909132 +146 3.038250 5.747736 +147 3.048135 5.590749 +148 3.058128 5.438050 +149 3.068230 5.289521 +150 3.078443 5.145049 +151 3.088770 5.004522 +152 3.099213 4.867834 +153 3.109774 4.734880 +154 3.120456 4.605557 +155 3.131261 4.479766 +156 3.142191 4.357410 +157 3.153250 4.238397 +158 3.164440 4.122634 +159 3.175765 4.010033 +160 3.187229 3.900507 +161 3.198835 3.793973 +162 3.210589 3.690349 +163 3.222495 3.589555 +164 3.234558 3.491514 +165 3.246783 3.396150 +166 3.259175 3.303392 +167 3.271740 3.213166 +168 3.284483 3.125406 +169 3.297409 3.040042 +170 3.310523 2.957009 +171 3.323828 2.876245 +172 3.337329 2.797686 +173 3.351029 2.721273 +174 3.364932 2.646948 +175 3.379041 2.574652 +176 3.393361 2.504331 +177 3.407892 2.435930 +178 3.422641 2.369398 +179 3.437608 2.304683 +180 3.452797 2.241735 +181 3.468211 2.180507 +182 3.483853 2.120951 +183 3.499730 2.063022 +184 3.515851 2.006675 +185 3.532221 1.951866 +186 3.548851 1.898555 +187 3.565747 1.846700 +188 3.582918 1.796262 +189 3.600374 1.747201 +190 3.618122 1.699479 +191 3.636173 1.653062 +192 3.654536 1.607912 +193 3.673219 1.563995 +194 3.692232 1.521278 +195 3.711586 1.479727 +196 3.731289 1.439312 +197 3.751351 1.400000 +198 3.869991 1.200000 +199 4.027045 1.000000 diff --git a/2018-11-22/X133982.340 b/2018-11-22/X133982.340 new file mode 100644 index 0000000..22bed8f --- /dev/null +++ b/2018-11-22/X133982.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-SD 2018-11-22 +Serial Number: X133982 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.712632 330.0000 + 2 1.735314 310.0000 + 3 1.745454 301.5330 + 4 1.755644 293.2973 + 5 1.765879 285.2865 + 6 1.776154 277.4945 + 7 1.786463 269.9153 + 8 1.796802 262.5431 + 9 1.807163 255.3723 + 10 1.817540 248.3974 + 11 1.827929 241.6129 + 12 1.838325 235.0138 + 13 1.848727 228.5949 + 14 1.859132 222.3513 + 15 1.869535 216.2782 + 16 1.879935 210.3710 + 17 1.890327 204.6252 + 18 1.900710 199.0363 + 19 1.911079 193.6000 + 20 1.921433 188.3123 + 21 1.931767 183.1689 + 22 1.942080 178.1660 + 23 1.952367 173.2998 + 24 1.962626 168.5665 + 25 1.972854 163.9624 + 26 1.983049 159.4842 + 27 1.993207 155.1282 + 28 2.003326 150.8912 + 29 2.013404 146.7699 + 30 2.023439 142.7612 + 31 2.033432 138.8620 + 32 2.043382 135.0693 + 33 2.053290 131.3801 + 34 2.063155 127.7918 + 35 2.072977 124.3014 + 36 2.082756 120.9064 + 37 2.092492 117.6041 + 38 2.102184 114.3920 + 39 2.111833 111.2676 + 40 2.121439 108.2285 + 41 2.131001 105.2725 + 42 2.140519 102.3972 + 43 2.149994 99.60045 + 44 2.159425 96.88007 + 45 2.168814 94.23400 + 46 2.178162 91.66019 + 47 2.187470 89.15669 + 48 2.196740 86.72156 + 49 2.205973 84.35294 + 50 2.215169 82.04902 + 51 2.224332 79.80803 + 52 2.233460 77.62824 + 53 2.242556 75.50799 + 54 2.251620 73.44565 + 55 2.260653 71.43963 + 56 2.269653 69.48841 + 57 2.278621 67.59048 + 58 2.287558 65.74439 + 59 2.296461 63.94872 + 60 2.305333 62.20210 + 61 2.314172 60.50318 + 62 2.322979 58.85066 + 63 2.331753 57.24328 + 64 2.340495 55.67980 + 65 2.349204 54.15902 + 66 2.357880 52.67978 + 67 2.366523 51.24095 + 68 2.375133 49.84141 + 69 2.383710 48.48010 + 70 2.392255 47.15596 + 71 2.400766 45.86800 + 72 2.409243 44.61521 + 73 2.417688 43.39664 + 74 2.426099 42.21135 + 75 2.434477 41.05844 + 76 2.442821 39.93701 + 77 2.451132 38.84622 + 78 2.459409 37.78522 + 79 2.467653 36.75319 + 80 2.475864 35.74936 + 81 2.484044 34.77294 + 82 2.492191 33.82319 + 83 2.500306 32.89938 + 84 2.508391 32.00080 + 85 2.516445 31.12677 + 86 2.524469 30.27661 + 87 2.532464 29.44966 + 88 2.540432 28.64531 + 89 2.548371 27.86292 + 90 2.556284 27.10191 + 91 2.564171 26.36167 + 92 2.572032 25.64166 + 93 2.579868 24.94131 + 94 2.587680 24.26009 + 95 2.595468 23.59748 + 96 2.603236 22.95297 + 97 2.610984 22.32605 + 98 2.618716 21.71626 + 99 2.626433 21.12313 +100 2.634137 20.54620 +101 2.641831 19.98502 +102 2.649516 19.43917 +103 2.657195 18.90823 +104 2.664870 18.39179 +105 2.672543 17.88946 +106 2.680216 17.40085 +107 2.687892 16.92558 +108 2.695571 16.46329 +109 2.703257 16.01363 +110 2.710951 15.57626 +111 2.718656 15.15082 +112 2.726373 14.73701 +113 2.734106 14.33450 +114 2.741856 13.94298 +115 2.749625 13.56216 +116 2.757416 13.19174 +117 2.765232 12.83143 +118 2.773075 12.48097 +119 2.780948 12.14008 +120 2.788854 11.80850 +121 2.796794 11.48597 +122 2.804772 11.17226 +123 2.812791 10.86711 +124 2.820852 10.57030 +125 2.828960 10.28159 +126 2.837117 10.00077 +127 2.845326 9.727624 +128 2.853589 9.461935 +129 2.861907 9.203502 +130 2.870282 8.952128 +131 2.878716 8.707619 +132 2.887211 8.469789 +133 2.895769 8.238455 +134 2.904391 8.013439 +135 2.913081 7.794568 +136 2.921840 7.581676 +137 2.930671 7.374599 +138 2.939577 7.173177 +139 2.948560 6.977257 +140 2.957623 6.786688 +141 2.966769 6.601324 +142 2.976000 6.421023 +143 2.985320 6.245646 +144 2.994731 6.075059 +145 3.004237 5.909132 +146 3.013840 5.747736 +147 3.023544 5.590749 +148 3.033352 5.438050 +149 3.043266 5.289521 +150 3.053289 5.145049 +151 3.063422 5.004522 +152 3.073667 4.867834 +153 3.084025 4.734880 +154 3.094501 4.605557 +155 3.105095 4.479766 +156 3.115811 4.357410 +157 3.126651 4.238397 +158 3.137617 4.122634 +159 3.148714 4.010033 +160 3.159944 3.900507 +161 3.171314 3.793973 +162 3.182826 3.690349 +163 3.194485 3.589555 +164 3.206296 3.491514 +165 3.218264 3.396150 +166 3.230395 3.303392 +167 3.242693 3.213166 +168 3.255164 3.125406 +169 3.267813 3.040042 +170 3.280644 2.957009 +171 3.293661 2.876245 +172 3.306867 2.797686 +173 3.320265 2.721273 +174 3.333859 2.646948 +175 3.347652 2.574652 +176 3.361646 2.504331 +177 3.375845 2.435930 +178 3.390250 2.369398 +179 3.404866 2.304683 +180 3.419694 2.241735 +181 3.434737 2.180507 +182 3.450000 2.120951 +183 3.465490 2.063022 +184 3.481213 2.006675 +185 3.497178 1.951866 +186 3.513393 1.898555 +187 3.529866 1.846700 +188 3.546606 1.796262 +189 3.563622 1.747201 +190 3.580922 1.699479 +191 3.598518 1.653062 +192 3.616417 1.607912 +193 3.634630 1.563995 +194 3.653167 1.521278 +195 3.672037 1.479727 +196 3.691252 1.439312 +197 3.710821 1.400000 +198 3.826676 1.200000 +199 3.980596 1.000000 diff --git a/2018-11-22/X137461.340 b/2018-11-22/X137461.340 new file mode 100644 index 0000000..28a6259 --- /dev/null +++ b/2018-11-22/X137461.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1030-SD 2018-11-22 +Serial Number: X137461 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.548306 330.0000 + 2 1.566894 310.0000 + 3 1.575206 301.5330 + 4 1.583559 293.2973 + 5 1.591951 285.2865 + 6 1.600377 277.4945 + 7 1.608832 269.9153 + 8 1.617311 262.5431 + 9 1.625810 255.3723 + 10 1.634324 248.3974 + 11 1.642848 241.6129 + 12 1.651379 235.0138 + 13 1.659916 228.5949 + 14 1.668455 222.3513 + 15 1.676995 216.2782 + 16 1.685532 210.3710 + 17 1.694065 204.6252 + 18 1.702590 199.0363 + 19 1.711105 193.6000 + 20 1.719607 188.3123 + 21 1.728094 183.1689 + 22 1.736562 178.1660 + 23 1.745009 173.2998 + 24 1.753431 168.5665 + 25 1.761827 163.9624 + 26 1.770192 159.4842 + 27 1.778525 155.1282 + 28 1.786823 150.8912 + 29 1.795084 146.7699 + 30 1.803307 142.7612 + 31 1.811491 138.8620 + 32 1.819635 135.0693 + 33 1.827739 131.3801 + 34 1.835804 127.7918 + 35 1.843827 124.3014 + 36 1.851810 120.9064 + 37 1.859751 117.6041 + 38 1.867650 114.3920 + 39 1.875506 111.2676 + 40 1.883320 108.2285 + 41 1.891091 105.2725 + 42 1.898818 102.3972 + 43 1.906501 99.60045 + 44 1.914141 96.88007 + 45 1.921738 94.23400 + 46 1.929295 91.66019 + 47 1.936812 89.15669 + 48 1.944293 86.72156 + 49 1.951740 84.35294 + 50 1.959153 82.04902 + 51 1.966534 79.80803 + 52 1.973886 77.62824 + 53 1.981210 75.50799 + 54 1.988505 73.44565 + 55 1.995772 71.43963 + 56 2.003011 69.48841 + 57 2.010221 67.59048 + 58 2.017402 65.74439 + 59 2.024554 63.94872 + 60 2.031676 62.20210 + 61 2.038769 60.50318 + 62 2.045831 58.85066 + 63 2.052863 57.24328 + 64 2.059865 55.67980 + 65 2.066836 54.15902 + 66 2.073775 52.67978 + 67 2.080684 51.24095 + 68 2.087560 49.84141 + 69 2.094406 48.48010 + 70 2.101219 47.15596 + 71 2.107999 45.86800 + 72 2.114748 44.61521 + 73 2.121464 43.39664 + 74 2.128147 42.21135 + 75 2.134796 41.05844 + 76 2.141413 39.93701 + 77 2.147996 38.84622 + 78 2.154546 37.78522 + 79 2.161062 36.75319 + 80 2.167545 35.74936 + 81 2.173996 34.77294 + 82 2.180415 33.82319 + 83 2.186802 32.89938 + 84 2.193158 32.00080 + 85 2.199482 31.12677 + 86 2.205777 30.27661 + 87 2.212042 29.44966 + 88 2.218279 28.64531 + 89 2.224487 27.86292 + 90 2.230667 27.10191 + 91 2.236820 26.36167 + 92 2.242947 25.64166 + 93 2.249048 24.94131 + 94 2.255123 24.26009 + 95 2.261173 23.59748 + 96 2.267201 22.95297 + 97 2.273207 22.32605 + 98 2.279194 21.71626 + 99 2.285163 21.12313 +100 2.291115 20.54620 +101 2.297053 19.98502 +102 2.302978 19.43917 +103 2.308892 18.90823 +104 2.314796 18.39179 +105 2.320692 17.88946 +106 2.326581 17.40085 +107 2.332464 16.92558 +108 2.338344 16.46329 +109 2.344221 16.01363 +110 2.350096 15.57626 +111 2.355973 15.15082 +112 2.361851 14.73701 +113 2.367732 14.33450 +114 2.373619 13.94298 +115 2.379512 13.56216 +116 2.385413 13.19174 +117 2.391324 12.83143 +118 2.397247 12.48097 +119 2.403183 12.14008 +120 2.409134 11.80850 +121 2.415103 11.48597 +122 2.421090 11.17226 +123 2.427099 10.86711 +124 2.433131 10.57030 +125 2.439189 10.28159 +126 2.445275 10.00077 +127 2.451392 9.727624 +128 2.457539 9.461935 +129 2.463719 9.203502 +130 2.469932 8.952128 +131 2.476180 8.707619 +132 2.482463 8.469789 +133 2.488783 8.238455 +134 2.495140 8.013439 +135 2.501537 7.794568 +136 2.507974 7.581676 +137 2.514453 7.374599 +138 2.520976 7.173177 +139 2.527544 6.977257 +140 2.534158 6.786688 +141 2.540821 6.601324 +142 2.547533 6.421023 +143 2.554297 6.245646 +144 2.561113 6.075059 +145 2.567985 5.909132 +146 2.574913 5.747736 +147 2.581900 5.590749 +148 2.588948 5.438050 +149 2.596058 5.289521 +150 2.603232 5.145049 +151 2.610470 5.004522 +152 2.617773 4.867834 +153 2.625142 4.734880 +154 2.632578 4.605557 +155 2.640083 4.479766 +156 2.647657 4.357410 +157 2.655302 4.238397 +158 2.663019 4.122634 +159 2.670809 4.010033 +160 2.678674 3.900507 +161 2.686616 3.793973 +162 2.694638 3.690349 +163 2.702742 3.589555 +164 2.710930 3.491514 +165 2.719204 3.396150 +166 2.727567 3.303392 +167 2.736021 3.213166 +168 2.744569 3.125406 +169 2.753214 3.040042 +170 2.761956 2.957009 +171 2.770798 2.876245 +172 2.779742 2.797686 +173 2.788790 2.721273 +174 2.797942 2.646948 +175 2.807201 2.574652 +176 2.816568 2.504331 +177 2.826044 2.435930 +178 2.835630 2.369398 +179 2.845328 2.304683 +180 2.855137 2.241735 +181 2.865058 2.180507 +182 2.875092 2.120951 +183 2.885242 2.063022 +184 2.895513 2.006675 +185 2.905906 1.951866 +186 2.916426 1.898555 +187 2.927077 1.846700 +188 2.937861 1.796262 +189 2.948784 1.747201 +190 2.959849 1.699479 +191 2.971059 1.653062 +192 2.982420 1.607912 +193 2.993934 1.563995 +194 3.005605 1.521278 +195 3.017439 1.479727 +196 3.029437 1.439312 +197 3.041605 1.400000 +198 3.112568 1.200000 +199 3.204076 1.000000 diff --git a/2021-04-26/X142474.340 b/2021-04-26/X142474.340 new file mode 100644 index 0000000..71e7c73 --- /dev/null +++ b/2021-04-26/X142474.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU-HT 2021-04-26 +Serial Number: X142474 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.518314 330.0000 + 2 1.534368 310.0000 + 3 1.541538 301.5330 + 4 1.548738 293.2973 + 5 1.555966 285.2865 + 6 1.563217 277.4945 + 7 1.570489 269.9153 + 8 1.577776 262.5431 + 9 1.585076 255.3723 + 10 1.592383 248.3974 + 11 1.599694 241.6129 + 12 1.607007 235.0138 + 13 1.614320 228.5949 + 14 1.621631 222.3513 + 15 1.628939 216.2782 + 16 1.636240 210.3710 + 17 1.643533 204.6252 + 18 1.650816 199.0363 + 19 1.658087 193.6000 + 20 1.665344 188.3123 + 21 1.672586 183.1689 + 22 1.679809 178.1660 + 23 1.687012 173.2998 + 24 1.694194 168.5665 + 25 1.701352 163.9624 + 26 1.708484 159.4842 + 27 1.715584 155.1282 + 28 1.722648 150.8912 + 29 1.729670 146.7699 + 30 1.736646 142.7612 + 31 1.743573 138.8620 + 32 1.750449 135.0693 + 33 1.757273 131.3801 + 34 1.764049 127.7918 + 35 1.770781 124.3014 + 36 1.777471 120.9064 + 37 1.784125 117.6041 + 38 1.790744 114.3920 + 39 1.797332 111.2676 + 40 1.803889 108.2285 + 41 1.810414 105.2725 + 42 1.816905 102.3972 + 43 1.823360 99.60045 + 44 1.829779 96.88007 + 45 1.836161 94.23400 + 46 1.842506 91.66019 + 47 1.848817 89.15669 + 48 1.855093 86.72156 + 49 1.861339 84.35294 + 50 1.867553 82.04902 + 51 1.873737 79.80803 + 52 1.879891 77.62824 + 53 1.886016 75.50799 + 54 1.892112 73.44565 + 55 1.898180 71.43963 + 56 1.904219 69.48841 + 57 1.910229 67.59048 + 58 1.916211 65.74439 + 59 1.922165 63.94872 + 60 1.928090 62.20210 + 61 1.933987 60.50318 + 62 1.939856 58.85066 + 63 1.945697 57.24328 + 64 1.951509 55.67980 + 65 1.957293 54.15902 + 66 1.963050 52.67978 + 67 1.968778 51.24095 + 68 1.974478 49.84141 + 69 1.980151 48.48010 + 70 1.985796 47.15596 + 71 1.991412 45.86800 + 72 1.997001 44.61521 + 73 2.002561 43.39664 + 74 2.008091 42.21135 + 75 2.013590 41.05844 + 76 2.019055 39.93701 + 77 2.024487 38.84622 + 78 2.029883 37.78522 + 79 2.035243 36.75319 + 80 2.040572 35.74936 + 81 2.045870 34.77294 + 82 2.051142 33.82319 + 83 2.056386 32.89938 + 84 2.061603 32.00080 + 85 2.066793 31.12677 + 86 2.071956 30.27661 + 87 2.077091 29.44966 + 88 2.082198 28.64531 + 89 2.087278 27.86292 + 90 2.092330 27.10191 + 91 2.097353 26.36167 + 92 2.102349 25.64166 + 93 2.107317 24.94131 + 94 2.112258 24.26009 + 95 2.117174 23.59748 + 96 2.122066 22.95297 + 97 2.126935 22.32605 + 98 2.131784 21.71626 + 99 2.136614 21.12313 +100 2.141426 20.54620 +101 2.146223 19.98502 +102 2.151006 19.43917 +103 2.155776 18.90823 +104 2.160535 18.39179 +105 2.165286 17.88946 +106 2.170029 17.40085 +107 2.174767 16.92558 +108 2.179504 16.46329 +109 2.184240 16.01363 +110 2.188978 15.57626 +111 2.193722 15.15082 +112 2.198472 14.73701 +113 2.203228 14.33450 +114 2.207984 13.94298 +115 2.212740 13.56216 +116 2.217494 13.19174 +117 2.222246 12.83143 +118 2.226999 12.48097 +119 2.231753 12.14008 +120 2.236509 11.80850 +121 2.241268 11.48597 +122 2.246031 11.17226 +123 2.250802 10.86711 +124 2.255584 10.57030 +125 2.260381 10.28159 +126 2.265196 10.00077 +127 2.270033 9.727624 +128 2.274895 9.461935 +129 2.279783 9.203502 +130 2.284697 8.952128 +131 2.289639 8.707619 +132 2.294607 8.469789 +133 2.299603 8.238455 +134 2.304625 8.013439 +135 2.309675 7.794568 +136 2.314752 7.581676 +137 2.319857 7.374599 +138 2.324989 7.173177 +139 2.330150 6.977257 +140 2.335340 6.786688 +141 2.340561 6.601324 +142 2.345813 6.421023 +143 2.351098 6.245646 +144 2.356417 6.075059 +145 2.361771 5.909132 +146 2.367161 5.747736 +147 2.372590 5.590749 +148 2.378058 5.438050 +149 2.383567 5.289521 +150 2.389116 5.145049 +151 2.394708 5.004522 +152 2.400341 4.867834 +153 2.406018 4.734880 +154 2.411738 4.605557 +155 2.417502 4.479766 +156 2.423311 4.357410 +157 2.429164 4.238397 +158 2.435063 4.122634 +159 2.441009 4.010033 +160 2.447002 3.900507 +161 2.453045 3.793973 +162 2.459137 3.690349 +163 2.465281 3.589555 +164 2.471478 3.491514 +165 2.477730 3.396150 +166 2.484038 3.303392 +167 2.490405 3.213166 +168 2.496832 3.125406 +169 2.503321 3.040042 +170 2.509873 2.957009 +171 2.516489 2.876245 +172 2.523171 2.797686 +173 2.529919 2.721273 +174 2.536735 2.646948 +175 2.543621 2.574652 +176 2.550577 2.504331 +177 2.557604 2.435930 +178 2.564703 2.369398 +179 2.571875 2.304683 +180 2.579121 2.241735 +181 2.586440 2.180507 +182 2.593834 2.120951 +183 2.601306 2.063022 +184 2.608859 2.006675 +185 2.616495 1.951866 +186 2.624217 1.898555 +187 2.632030 1.846700 +188 2.639936 1.796262 +189 2.647939 1.747201 +190 2.656042 1.699479 +191 2.664250 1.653062 +192 2.672567 1.607912 +193 2.680995 1.563995 +194 2.689540 1.521278 +195 2.698207 1.479727 +196 2.706998 1.439312 +197 2.715919 1.400000 +198 2.768160 1.200000 +199 2.836522 1.000000 diff --git a/2021-04-26/X148903.340 b/2021-04-26/X148903.340 new file mode 100644 index 0000000..734e678 --- /dev/null +++ b/2021-04-26/X148903.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU-HT 2021-04-26 +Serial Number: X148903 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.832255 330.0000 + 2 1.859236 310.0000 + 3 1.871315 301.5330 + 4 1.883465 293.2973 + 5 1.895683 285.2865 + 6 1.907961 277.4945 + 7 1.920295 269.9153 + 8 1.932678 262.5431 + 9 1.945104 255.3723 + 10 1.957566 248.3974 + 11 1.970058 241.6129 + 12 1.982578 235.0138 + 13 1.995123 228.5949 + 14 2.007690 222.3513 + 15 2.020275 216.2782 + 16 2.032877 210.3710 + 17 2.045492 204.6252 + 18 2.058117 199.0363 + 19 2.070748 193.6000 + 20 2.083384 188.3123 + 21 2.096020 183.1689 + 22 2.108654 178.1660 + 23 2.121283 173.2998 + 24 2.133903 168.5665 + 25 2.146512 163.9624 + 26 2.159109 159.4842 + 27 2.171698 155.1282 + 28 2.184285 150.8912 + 29 2.196874 146.7699 + 30 2.209455 142.7612 + 31 2.222009 138.8620 + 32 2.234515 135.0693 + 33 2.246964 131.3801 + 34 2.259351 127.7918 + 35 2.271676 124.3014 + 36 2.283943 120.9064 + 37 2.296172 117.6041 + 38 2.308384 114.3920 + 39 2.320596 111.2676 + 40 2.332809 108.2285 + 41 2.345016 105.2725 + 42 2.357208 102.3972 + 43 2.369379 99.60045 + 44 2.381522 96.88007 + 45 2.393632 94.23400 + 46 2.405705 91.66019 + 47 2.417746 89.15669 + 48 2.429759 86.72156 + 49 2.441748 84.35294 + 50 2.453716 82.04902 + 51 2.465662 79.80803 + 52 2.477587 77.62824 + 53 2.489492 75.50799 + 54 2.501377 73.44565 + 55 2.513242 71.43963 + 56 2.525088 69.48841 + 57 2.536913 67.59048 + 58 2.548718 65.74439 + 59 2.560502 63.94872 + 60 2.572266 62.20210 + 61 2.584008 60.50318 + 62 2.595729 58.85066 + 63 2.607429 57.24328 + 64 2.619110 55.67980 + 65 2.630772 54.15902 + 66 2.642416 52.67978 + 67 2.654044 51.24095 + 68 2.665656 49.84141 + 69 2.677253 48.48010 + 70 2.688837 47.15596 + 71 2.700407 45.86800 + 72 2.711965 44.61521 + 73 2.723506 43.39664 + 74 2.735025 42.21135 + 75 2.746518 41.05844 + 76 2.757978 39.93701 + 77 2.769401 38.84622 + 78 2.780782 37.78522 + 79 2.792123 36.75319 + 80 2.803435 35.74936 + 81 2.814733 34.77294 + 82 2.826028 33.82319 + 83 2.837320 32.89938 + 84 2.848603 32.00080 + 85 2.859874 31.12677 + 86 2.871131 30.27661 + 87 2.882374 29.44966 + 88 2.893604 28.64531 + 89 2.904820 27.86292 + 90 2.916022 27.10191 + 91 2.927212 26.36167 + 92 2.938388 25.64166 + 93 2.949552 24.94131 + 94 2.960703 24.26009 + 95 2.971842 23.59748 + 96 2.982972 22.95297 + 97 2.994095 22.32605 + 98 3.005214 21.71626 + 99 3.016332 21.12313 +100 3.027451 20.54620 +101 3.038575 19.98502 +102 3.049707 19.43917 +103 3.060848 18.90823 +104 3.072003 18.39179 +105 3.083173 17.88946 +106 3.094362 17.40085 +107 3.105573 16.92558 +108 3.116808 16.46329 +109 3.128070 16.01363 +110 3.139366 15.57626 +111 3.150699 15.15082 +112 3.162075 14.73701 +113 3.173500 14.33450 +114 3.184979 13.94298 +115 3.196517 13.56216 +116 3.208113 13.19174 +117 3.219766 12.83143 +118 3.231470 12.48097 +119 3.243226 12.14008 +120 3.255037 11.80850 +121 3.266907 11.48597 +122 3.278839 11.17226 +123 3.290837 10.86711 +124 3.302905 10.57030 +125 3.315049 10.28159 +126 3.327281 10.00077 +127 3.339615 9.727624 +128 3.352064 9.461935 +129 3.364634 9.203502 +130 3.377326 8.952128 +131 3.390138 8.707619 +132 3.403071 8.469789 +133 3.416127 8.238455 +134 3.429308 8.013439 +135 3.442618 7.794568 +136 3.456060 7.581676 +137 3.469639 7.374599 +138 3.483357 7.173177 +139 3.497220 6.977257 +140 3.511230 6.786688 +141 3.525392 6.601324 +142 3.539711 6.421023 +143 3.554192 6.245646 +144 3.568843 6.075059 +145 3.583673 5.909132 +146 3.598690 5.747736 +147 3.613902 5.590749 +148 3.629318 5.438050 +149 3.644945 5.289521 +150 3.660785 5.145049 +151 3.676840 5.004522 +152 3.693112 4.867834 +153 3.709603 4.734880 +154 3.726316 4.605557 +155 3.743251 4.479766 +156 3.760413 4.357410 +157 3.777807 4.238397 +158 3.795437 4.122634 +159 3.813309 4.010033 +160 3.831431 3.900507 +161 3.849809 3.793973 +162 3.868453 3.690349 +163 3.887375 3.589555 +164 3.906587 3.491514 +165 3.926103 3.396150 +166 3.945933 3.303392 +167 3.966087 3.213166 +168 3.986575 3.125406 +169 4.007405 3.040042 +170 4.028586 2.957009 +171 4.050126 2.876245 +172 4.072033 2.797686 +173 4.094316 2.721273 +174 4.116983 2.646948 +175 4.140042 2.574652 +176 4.163500 2.504331 +177 4.187364 2.435930 +178 4.211642 2.369398 +179 4.236338 2.304683 +180 4.261459 2.241735 +181 4.287008 2.180507 +182 4.312992 2.120951 +183 4.339424 2.063022 +184 4.366317 2.006675 +185 4.393682 1.951866 +186 4.421532 1.898555 +187 4.449883 1.846700 +188 4.478747 1.796262 +189 4.508138 1.747201 +190 4.538070 1.699479 +191 4.568557 1.653062 +192 4.599614 1.607912 +193 4.631255 1.563995 +194 4.663493 1.521278 +195 4.696341 1.479727 +196 4.729814 1.439312 +197 4.763923 1.400000 +198 4.965875 1.200000 +199 5.232372 1.000000 diff --git a/2021-04-26/X148906.340 b/2021-04-26/X148906.340 new file mode 100644 index 0000000..8c15b80 --- /dev/null +++ b/2021-04-26/X148906.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU-HT 2021-04-26 +Serial Number: X148906 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.814515 330.0000 + 2 1.840872 310.0000 + 3 1.852680 301.5330 + 4 1.864563 293.2973 + 5 1.876514 285.2865 + 6 1.888527 277.4945 + 7 1.900596 269.9153 + 8 1.912715 262.5431 + 9 1.924876 255.3723 + 10 1.937072 248.3974 + 11 1.949297 241.6129 + 12 1.961546 235.0138 + 13 1.973817 228.5949 + 14 1.986106 222.3513 + 15 1.998409 216.2782 + 16 2.010723 210.3710 + 17 2.023045 204.6252 + 18 2.035374 199.0363 + 19 2.047707 193.6000 + 20 2.060044 188.3123 + 21 2.072381 183.1689 + 22 2.084717 178.1660 + 23 2.097050 173.2998 + 24 2.109378 168.5665 + 25 2.121699 163.9624 + 26 2.134011 159.4842 + 27 2.146313 155.1282 + 28 2.158602 150.8912 + 29 2.170877 146.7699 + 30 2.183133 142.7612 + 31 2.195359 138.8620 + 32 2.207550 135.0693 + 33 2.219695 131.3801 + 34 2.231788 127.7918 + 35 2.243820 124.3014 + 36 2.255791 120.9064 + 37 2.267722 117.6041 + 38 2.279635 114.3920 + 39 2.291550 111.2676 + 40 2.303464 108.2285 + 41 2.315365 105.2725 + 42 2.327241 102.3972 + 43 2.339086 99.60045 + 44 2.350900 96.88007 + 45 2.362684 94.23400 + 46 2.374439 91.66019 + 47 2.386167 89.15669 + 48 2.397869 86.72156 + 49 2.409545 84.35294 + 50 2.421196 82.04902 + 51 2.432825 79.80803 + 52 2.444430 77.62824 + 53 2.456014 75.50799 + 54 2.467577 73.44565 + 55 2.479120 71.43963 + 56 2.490642 69.48841 + 57 2.502142 67.59048 + 58 2.513622 65.74439 + 59 2.525080 63.94872 + 60 2.536518 62.20210 + 61 2.547934 60.50318 + 62 2.559329 58.85066 + 63 2.570702 57.24328 + 64 2.582054 55.67980 + 65 2.593384 54.15902 + 66 2.604693 52.67978 + 67 2.615982 51.24095 + 68 2.627251 49.84141 + 69 2.638502 48.48010 + 70 2.649734 47.15596 + 71 2.660950 45.86800 + 72 2.672150 44.61521 + 73 2.683335 43.39664 + 74 2.694505 42.21135 + 75 2.705661 41.05844 + 76 2.716797 39.93701 + 77 2.727902 38.84622 + 78 2.738965 37.78522 + 79 2.749983 36.75319 + 80 2.760966 35.74936 + 81 2.771929 34.77294 + 82 2.782880 33.82319 + 83 2.793823 32.89938 + 84 2.804754 32.00080 + 85 2.815675 31.12677 + 86 2.826582 30.27661 + 87 2.837476 29.44966 + 88 2.848355 28.64531 + 89 2.859219 27.86292 + 90 2.870067 27.10191 + 91 2.880900 26.36167 + 92 2.891717 25.64166 + 93 2.902517 24.94131 + 94 2.913301 24.26009 + 95 2.924069 23.59748 + 96 2.934825 22.95297 + 97 2.945571 22.32605 + 98 2.956313 21.71626 + 99 2.967053 21.12313 +100 2.977794 20.54620 +101 2.988538 19.98502 +102 2.999289 19.43917 +103 3.010048 18.90823 +104 3.020818 18.39179 +105 3.031602 17.88946 +106 3.042402 17.40085 +107 3.053220 16.92558 +108 3.064060 16.46329 +109 3.074923 16.01363 +110 3.085811 15.57626 +111 3.096729 15.15082 +112 3.107678 14.73701 +113 3.118665 14.33450 +114 3.129695 13.94298 +115 3.140776 13.56216 +116 3.151914 13.19174 +117 3.163116 12.83143 +118 3.174390 12.48097 +119 3.185735 12.14008 +120 3.197138 11.80850 +121 3.208588 11.48597 +122 3.220078 11.17226 +123 3.231614 10.86711 +124 3.243210 10.57030 +125 3.254877 10.28159 +126 3.266628 10.00077 +127 3.278474 9.727624 +128 3.290427 9.461935 +129 3.302493 9.203502 +130 3.314673 8.952128 +131 3.326967 8.707619 +132 3.339377 8.469789 +133 3.351902 8.238455 +134 3.364543 8.013439 +135 3.377300 7.794568 +136 3.390178 7.581676 +137 3.403180 7.374599 +138 3.416312 7.173177 +139 3.429578 6.977257 +140 3.442983 6.786688 +141 3.456533 6.601324 +142 3.470233 6.421023 +143 3.484089 6.245646 +144 3.498105 6.075059 +145 3.512289 5.909132 +146 3.526645 5.747736 +147 3.541179 5.590749 +148 3.555894 5.438050 +149 3.570794 5.289521 +150 3.585882 5.145049 +151 3.601159 5.004522 +152 3.616631 4.867834 +153 3.632314 4.734880 +154 3.648225 4.605557 +155 3.664379 4.479766 +156 3.680770 4.357410 +157 3.697382 4.238397 +158 3.714195 4.122634 +159 3.731207 4.010033 +160 3.748432 3.900507 +161 3.765884 3.793973 +162 3.783579 3.690349 +163 3.801535 3.589555 +164 3.819769 3.491514 +165 3.838300 3.396150 +166 3.857136 3.303392 +167 3.876280 3.213166 +168 3.895737 3.125406 +169 3.915509 3.040042 +170 3.935604 2.957009 +171 3.956027 2.876245 +172 3.976785 2.797686 +173 3.997883 2.721273 +174 4.019325 2.646948 +175 4.041119 2.574652 +176 4.063273 2.504331 +177 4.085801 2.435930 +178 4.108714 2.369398 +179 4.132025 2.304683 +180 4.155746 2.241735 +181 4.179888 2.180507 +182 4.204461 2.120951 +183 4.229460 2.063022 +184 4.254879 2.006675 +185 4.280710 1.951866 +186 4.306942 1.898555 +187 4.333564 1.846700 +188 4.360567 1.796262 +189 4.388056 1.747201 +190 4.416266 1.699479 +191 4.445462 1.653062 +192 4.475936 1.607912 +193 4.508011 1.563995 +194 4.542040 1.521278 +195 4.578413 1.479727 +196 4.617558 1.439312 +197 4.659946 1.400000 +198 4.981407 1.200000 +199 5.685063 1.000000 diff --git a/2021-04-26/X154359.340 b/2021-04-26/X154359.340 new file mode 100644 index 0000000..244721a --- /dev/null +++ b/2021-04-26/X154359.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU-HT 2021-04-26 +Serial Number: X154359 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.752242 330.0000 + 2 1.776240 310.0000 + 3 1.786980 301.5330 + 4 1.797780 293.2973 + 5 1.808635 285.2865 + 6 1.819541 277.4945 + 7 1.830491 269.9153 + 8 1.841481 262.5431 + 9 1.852503 255.3723 + 10 1.863552 248.3974 + 11 1.874622 241.6129 + 12 1.885711 235.0138 + 13 1.896814 228.5949 + 14 1.907930 222.3513 + 15 1.919056 216.2782 + 16 1.930188 210.3710 + 17 1.941323 204.6252 + 18 1.952459 199.0363 + 19 1.963592 193.6000 + 20 1.974719 188.3123 + 21 1.985838 183.1689 + 22 1.996944 178.1660 + 23 2.008036 173.2998 + 24 2.019110 168.5665 + 25 2.030163 163.9624 + 26 2.041193 159.4842 + 27 2.052196 155.1282 + 28 2.063170 150.8912 + 29 2.074112 146.7699 + 30 2.085019 142.7612 + 31 2.095889 138.8620 + 32 2.106717 135.0693 + 33 2.117501 131.3801 + 34 2.128237 127.7918 + 35 2.138922 124.3014 + 36 2.149559 120.9064 + 37 2.160162 117.6041 + 38 2.170749 114.3920 + 39 2.181335 111.2676 + 40 2.191910 108.2285 + 41 2.202458 105.2725 + 42 2.212959 102.3972 + 43 2.223409 99.60045 + 44 2.233808 96.88007 + 45 2.244159 94.23400 + 46 2.254467 91.66019 + 47 2.264732 89.15669 + 48 2.274959 86.72156 + 49 2.285151 84.35294 + 50 2.295308 82.04902 + 51 2.305432 79.80803 + 52 2.315525 77.62824 + 53 2.325587 75.50799 + 54 2.335619 73.44565 + 55 2.345622 71.43963 + 56 2.355594 69.48841 + 57 2.365537 67.59048 + 58 2.375450 65.74439 + 59 2.385333 63.94872 + 60 2.395186 62.20210 + 61 2.405009 60.50318 + 62 2.414802 58.85066 + 63 2.424565 57.24328 + 64 2.434298 55.67980 + 65 2.444001 54.15902 + 66 2.453674 52.67978 + 67 2.463317 51.24095 + 68 2.472929 49.84141 + 69 2.482512 48.48010 + 70 2.492064 47.15596 + 71 2.501586 45.86800 + 72 2.511078 44.61521 + 73 2.520540 43.39664 + 74 2.529971 42.21135 + 75 2.539372 41.05844 + 76 2.548741 39.93701 + 77 2.558073 38.84622 + 78 2.567366 37.78522 + 79 2.576619 36.75319 + 80 2.585837 35.74936 + 81 2.595026 34.77294 + 82 2.604193 33.82319 + 83 2.613338 32.89938 + 84 2.622461 32.00080 + 85 2.631561 31.12677 + 86 2.640638 30.27661 + 87 2.649693 29.44966 + 88 2.658724 28.64531 + 89 2.667734 27.86292 + 90 2.676723 27.10191 + 91 2.685695 26.36167 + 92 2.694650 25.64166 + 93 2.703584 24.94131 + 94 2.712493 24.26009 + 95 2.721371 23.59748 + 96 2.730220 22.95297 + 97 2.739045 22.32605 + 98 2.747850 21.71626 + 99 2.756640 21.12313 +100 2.765419 20.54620 +101 2.774187 19.98502 +102 2.782949 19.43917 +103 2.791707 18.90823 +104 2.800464 18.39179 +105 2.809223 17.88946 +106 2.817986 17.40085 +107 2.826756 16.92558 +108 2.835537 16.46329 +109 2.844330 16.01363 +110 2.853139 15.57626 +111 2.861966 15.15082 +112 2.870814 14.73701 +113 2.879685 14.33450 +114 2.888582 13.94298 +115 2.897505 13.56216 +116 2.906457 13.19174 +117 2.915440 12.83143 +118 2.924455 12.48097 +119 2.933506 12.14008 +120 2.942595 11.80850 +121 2.951723 11.48597 +122 2.960894 11.17226 +123 2.970109 10.86711 +124 2.979372 10.57030 +125 2.988687 10.28159 +126 2.998060 10.00077 +127 3.007501 9.727624 +128 3.017015 9.461935 +129 3.026609 9.203502 +130 3.036280 8.952128 +131 3.046030 8.707619 +132 3.055858 8.469789 +133 3.065766 8.238455 +134 3.075755 8.013439 +135 3.085826 7.794568 +136 3.095982 7.581676 +137 3.106224 7.374599 +138 3.116556 7.173177 +139 3.126979 6.977257 +140 3.137500 6.786688 +141 3.148124 6.601324 +142 3.158858 6.421023 +143 3.169707 6.245646 +144 3.180678 6.075059 +145 3.191778 5.909132 +146 3.203005 5.747736 +147 3.214357 5.590749 +148 3.225829 5.438050 +149 3.237419 5.289521 +150 3.249132 5.145049 +151 3.260971 5.004522 +152 3.272943 4.867834 +153 3.285051 4.734880 +154 3.297301 4.605557 +155 3.309697 4.479766 +156 3.322243 4.357410 +157 3.334943 4.238397 +158 3.347798 4.122634 +159 3.360812 4.010033 +160 3.373990 3.900507 +161 3.387336 3.793973 +162 3.400855 3.690349 +163 3.414553 3.589555 +164 3.428435 3.491514 +165 3.442509 3.396150 +166 3.456781 3.303392 +167 3.471258 3.213166 +168 3.485947 3.125406 +169 3.500855 3.040042 +170 3.515987 2.957009 +171 3.531351 2.876245 +172 3.546952 2.797686 +173 3.562793 2.721273 +174 3.578878 2.646948 +175 3.595208 2.574652 +176 3.611786 2.504331 +177 3.628614 2.435930 +178 3.645691 2.369398 +179 3.663030 2.304683 +180 3.680647 2.241735 +181 3.698564 2.180507 +182 3.716792 2.120951 +183 3.735317 2.063022 +184 3.754117 2.006675 +185 3.773176 1.951866 +186 3.792503 1.898555 +187 3.812130 1.846700 +188 3.832089 1.796262 +189 3.852415 1.747201 +190 3.873147 1.699479 +191 3.894328 1.653062 +192 3.915953 1.607912 +193 3.937901 1.563995 +194 3.960017 1.521278 +195 3.982126 1.479727 +196 4.004033 1.439312 +197 4.025522 1.400000 +198 4.124866 1.200000 +199 4.129699 1.000000 diff --git a/2021-04-26/X154360.340 b/2021-04-26/X154360.340 new file mode 100644 index 0000000..05b9218 --- /dev/null +++ b/2021-04-26/X154360.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU-HT 2021-04-26 +Serial Number: X154360 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.742997 330.0000 + 2 1.766030 310.0000 + 3 1.776352 301.5330 + 4 1.786741 293.2973 + 5 1.797193 285.2865 + 6 1.807702 277.4945 + 7 1.818262 269.9153 + 8 1.828868 262.5431 + 9 1.839514 255.3723 + 10 1.850193 248.3974 + 11 1.860901 241.6129 + 12 1.871634 235.0138 + 13 1.882388 228.5949 + 14 1.893162 222.3513 + 15 1.903951 216.2782 + 16 1.914753 210.3710 + 17 1.925564 204.6252 + 18 1.936382 199.0363 + 19 1.947202 193.6000 + 20 1.958022 188.3123 + 21 1.968839 183.1689 + 22 1.979648 178.1660 + 23 1.990448 173.2998 + 24 2.001235 168.5665 + 25 2.012005 163.9624 + 26 2.022756 159.4842 + 27 2.033484 155.1282 + 28 2.044187 150.8912 + 29 2.054861 146.7699 + 30 2.065506 142.7612 + 31 2.076121 138.8620 + 32 2.086704 135.0693 + 33 2.097251 131.3801 + 34 2.107751 127.7918 + 35 2.118191 124.3014 + 36 2.128569 120.9064 + 37 2.138906 117.6041 + 38 2.149225 114.3920 + 39 2.159549 111.2676 + 40 2.169874 108.2285 + 41 2.180190 105.2725 + 42 2.190488 102.3972 + 43 2.200758 99.60045 + 44 2.210989 96.88007 + 45 2.221174 94.23400 + 46 2.231308 91.66019 + 47 2.241397 89.15669 + 48 2.251447 86.72156 + 49 2.261464 84.35294 + 50 2.271450 82.04902 + 51 2.281406 79.80803 + 52 2.291333 77.62824 + 53 2.301231 75.50799 + 54 2.311101 73.44565 + 55 2.320943 71.43963 + 56 2.330758 69.48841 + 57 2.340545 67.59048 + 58 2.350305 65.74439 + 59 2.360037 63.94872 + 60 2.369742 62.20210 + 61 2.379418 60.50318 + 62 2.389068 58.85066 + 63 2.398690 57.24328 + 64 2.408284 55.67980 + 65 2.417851 54.15902 + 66 2.427390 52.67978 + 67 2.436902 51.24095 + 68 2.446386 49.84141 + 69 2.455844 48.48010 + 70 2.465273 47.15596 + 71 2.474675 45.86800 + 72 2.484050 44.61521 + 73 2.493397 43.39664 + 74 2.502714 42.21135 + 75 2.512001 41.05844 + 76 2.521257 39.93701 + 77 2.530480 38.84622 + 78 2.539670 37.78522 + 79 2.548827 36.75319 + 80 2.557952 35.74936 + 81 2.567048 34.77294 + 82 2.576115 33.82319 + 83 2.585157 32.89938 + 84 2.594174 32.00080 + 85 2.603169 31.12677 + 86 2.612144 30.27661 + 87 2.621097 29.44966 + 88 2.630030 28.64531 + 89 2.638943 27.86292 + 90 2.647836 27.10191 + 91 2.656708 26.36167 + 92 2.665561 25.64166 + 93 2.674395 24.94131 + 94 2.683209 24.26009 + 95 2.692004 23.59748 + 96 2.700782 22.95297 + 97 2.709543 22.32605 + 98 2.718289 21.71626 + 99 2.727021 21.12313 +100 2.735741 20.54620 +101 2.744449 19.98502 +102 2.753147 19.43917 +103 2.761837 18.90823 +104 2.770525 18.39179 +105 2.779214 17.88946 +106 2.787907 17.40085 +107 2.796608 16.92558 +108 2.805321 16.46329 +109 2.814048 16.01363 +110 2.822793 15.57626 +111 2.831557 15.15082 +112 2.840342 14.73701 +113 2.849149 14.33450 +114 2.857981 13.94298 +115 2.866841 13.56216 +116 2.875730 13.19174 +117 2.884650 12.83143 +118 2.893605 12.48097 +119 2.902596 12.14008 +120 2.911627 11.80850 +121 2.920699 11.48597 +122 2.929815 11.17226 +123 2.938979 10.86711 +124 2.948193 10.57030 +125 2.957461 10.28159 +126 2.966788 10.00077 +127 2.976178 9.727624 +128 2.985636 9.461935 +129 2.995165 9.203502 +130 3.004769 8.952128 +131 3.014452 8.707619 +132 3.024218 8.469789 +133 3.034069 8.238455 +134 3.044005 8.013439 +135 3.054029 7.794568 +136 3.064141 7.581676 +137 3.074343 7.374599 +138 3.084636 7.173177 +139 3.095023 6.977257 +140 3.105504 6.786688 +141 3.116081 6.601324 +142 3.126756 6.421023 +143 3.137536 6.245646 +144 3.148427 6.075059 +145 3.159438 5.909132 +146 3.170576 5.747736 +147 3.181850 5.590749 +148 3.193269 5.438050 +149 3.204834 5.289521 +150 3.216538 5.145049 +151 3.228372 5.004522 +152 3.240331 4.867834 +153 3.252418 4.734880 +154 3.264639 4.605557 +155 3.277000 4.479766 +156 3.289506 4.357410 +157 3.302159 4.238397 +158 3.314965 4.122634 +159 3.327927 4.010033 +160 3.341052 3.900507 +161 3.354345 3.793973 +162 3.367812 3.690349 +163 3.381459 3.589555 +164 3.395294 3.491514 +165 3.409323 3.396150 +166 3.423552 3.303392 +167 3.437987 3.213166 +168 3.452635 3.125406 +169 3.467500 3.040042 +170 3.482587 2.957009 +171 3.497902 2.876245 +172 3.513449 2.797686 +173 3.529233 2.721273 +174 3.545259 2.646948 +175 3.561531 2.574652 +176 3.578053 2.504331 +177 3.594830 2.435930 +178 3.611866 2.369398 +179 3.629165 2.304683 +180 3.646735 2.241735 +181 3.664581 2.180507 +182 3.682714 2.120951 +183 3.701146 2.063022 +184 3.719891 2.006675 +185 3.738956 1.951866 +186 3.758293 1.898555 +187 3.777812 1.846700 +188 3.797417 1.796262 +189 3.816997 1.747201 +190 3.836431 1.699479 +191 3.855586 1.653062 +192 3.874311 1.607912 +193 3.874968 1.000000 +194 3.892441 1.563995 +195 3.909795 1.521278 +196 3.926170 1.479727 +197 3.941346 1.439312 +198 3.955078 1.400000 +199 3.991378 1.200000 diff --git a/2021-04-30/X142474.340 b/2021-04-30/X142474.340 new file mode 100644 index 0000000..7953794 --- /dev/null +++ b/2021-04-30/X142474.340 @@ -0,0 +1,207 @@ +Sensor Model: CX-1050-CU-HT 2021-04-30 +Serial Number: X142474 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 198 + +No. Units Temperature (K) + + 1 1.518466 330.0000 + 2 1.534414 310.0000 + 3 1.541595 301.4900 + 4 1.548813 293.2135 + 5 1.556067 285.1643 + 6 1.563352 277.3361 + 7 1.570663 269.7227 + 8 1.577994 262.3184 + 9 1.585339 255.1173 + 10 1.592693 248.1139 + 11 1.600051 241.3027 + 12 1.607408 234.6785 + 13 1.614761 228.2362 + 14 1.622110 221.9707 + 15 1.629452 215.8772 + 16 1.636785 209.9510 + 17 1.644109 204.1875 + 18 1.651422 198.5822 + 19 1.658723 193.1308 + 20 1.666009 187.8290 + 21 1.673280 182.6728 + 22 1.680535 177.6581 + 23 1.687770 172.7811 + 24 1.694987 168.0379 + 25 1.702182 163.4250 + 26 1.709353 158.9387 + 27 1.716493 154.5756 + 28 1.723594 150.3322 + 29 1.730649 146.2053 + 30 1.737655 142.1917 + 31 1.744610 138.2883 + 32 1.751514 134.4921 + 33 1.758366 130.8000 + 34 1.765171 127.2093 + 35 1.771932 123.7172 + 36 1.778651 120.3210 + 37 1.785332 117.0180 + 38 1.791977 113.8056 + 39 1.798589 110.6815 + 40 1.805168 107.6431 + 41 1.811713 104.6881 + 42 1.818224 101.8142 + 43 1.824702 99.01923 + 44 1.831145 96.30098 + 45 1.837553 93.65735 + 46 1.843929 91.08629 + 47 1.850270 88.58582 + 48 1.856579 86.15398 + 49 1.862855 83.78891 + 50 1.869099 81.48876 + 51 1.875310 79.25175 + 52 1.881489 77.07615 + 53 1.887637 74.96028 + 54 1.893755 72.90249 + 55 1.899843 70.90119 + 56 1.905901 68.95483 + 57 1.911930 67.06190 + 58 1.917930 65.22094 + 59 1.923901 63.43051 + 60 1.929845 61.68923 + 61 1.935760 59.99576 + 62 1.941649 58.34877 + 63 1.947510 56.74699 + 64 1.953345 55.18919 + 65 1.959153 53.67415 + 66 1.964935 52.20070 + 67 1.970689 50.76770 + 68 1.976415 49.37404 + 69 1.982112 48.01864 + 70 1.987779 46.70045 + 71 1.993417 45.41844 + 72 1.999024 44.17162 + 73 2.004600 42.95904 + 74 2.010144 41.77974 + 75 2.015655 40.63281 + 76 2.021134 39.51737 + 77 2.026578 38.43255 + 78 2.031989 37.37751 + 79 2.037366 36.35143 + 80 2.042710 35.35352 + 81 2.048024 34.38301 + 82 2.053308 33.43913 + 83 2.058563 32.52117 + 84 2.063791 31.62841 + 85 2.068993 30.76016 + 86 2.074169 29.91574 + 87 2.079319 29.09450 + 88 2.084442 28.29580 + 89 2.089538 27.51903 + 90 2.094606 26.76359 + 91 2.099646 26.02888 + 92 2.104658 25.31435 + 93 2.109643 24.61942 + 94 2.114601 23.94358 + 95 2.119533 23.28628 + 96 2.124441 22.64704 + 97 2.129327 22.02534 + 98 2.134191 21.42070 + 99 2.139036 20.83267 +100 2.143863 20.26077 +101 2.148674 19.70458 +102 2.153469 19.16366 +103 2.158252 18.63758 +104 2.163026 18.12595 +105 2.167792 17.62836 +106 2.172553 17.14443 +107 2.177311 16.67379 +108 2.182069 16.21606 +109 2.186831 15.77090 +110 2.191601 15.33796 +111 2.196383 14.91691 +112 2.201175 14.50741 +113 2.205970 14.10916 +114 2.210758 13.72184 +115 2.215537 13.34515 +116 2.220308 12.97880 +117 2.225074 12.62251 +118 2.229839 12.27600 +119 2.234606 11.93901 +120 2.239380 11.61126 +121 2.244163 11.29251 +122 2.248958 10.98251 +123 2.253767 10.68102 +124 2.258593 10.38781 +125 2.263436 10.10265 +126 2.268300 9.825312 +127 2.273186 9.555591 +128 2.278094 9.293273 +129 2.283025 9.038157 +130 2.287981 8.790044 +131 2.292961 8.548742 +132 2.297967 8.314064 +133 2.302999 8.085829 +134 2.308057 7.863859 +135 2.313143 7.647982 +136 2.318258 7.438032 +137 2.323403 7.233845 +138 2.328578 7.035263 +139 2.333785 6.842133 +140 2.339024 6.654305 +141 2.344296 6.471633 +142 2.349602 6.293975 +143 2.354943 6.121195 +144 2.360321 5.953157 +145 2.365735 5.789733 +146 2.371188 5.630795 +147 2.376680 5.476220 +148 2.382213 5.325888 +149 2.387786 5.179683 +150 2.393399 5.037492 +151 2.399054 4.899204 +152 2.404750 4.764712 +153 2.410488 4.633913 +154 2.416270 4.506704 +155 2.422095 4.382987 +156 2.427965 4.262667 +157 2.433881 4.145649 +158 2.439843 4.031844 +159 2.445853 3.921163 +160 2.451912 3.813520 +161 2.458023 3.708832 +162 2.464187 3.607018 +163 2.470405 3.508000 +164 2.476680 3.411699 +165 2.483014 3.318042 +166 2.489407 3.226956 +167 2.495861 3.138370 +168 2.502377 3.052217 +169 2.508957 2.968428 +170 2.515602 2.886940 +171 2.522311 2.807688 +172 2.529086 2.730612 +173 2.535927 2.655652 +174 2.542836 2.582750 +175 2.549811 2.511849 +176 2.556855 2.442894 +177 2.563966 2.375833 +178 2.571145 2.310612 +179 2.578392 2.247182 +180 2.585707 2.185493 +181 2.593091 2.125497 +182 2.600546 2.067149 +183 2.608075 2.010402 +184 2.615680 1.955213 +185 2.623364 1.901539 +186 2.631129 1.849338 +187 2.638979 1.798571 +188 2.646917 1.749197 +189 2.654945 1.701178 +190 2.663067 1.654478 +191 2.671287 1.609060 +192 2.679607 1.564888 +193 2.688031 1.521930 +194 2.696562 1.480150 +195 2.705204 1.439517 +196 2.713962 1.400000 +197 2.765141 1.200000 +198 2.828843 1.000000 diff --git a/2021-04-30/X148903.340 b/2021-04-30/X148903.340 new file mode 100644 index 0000000..765642c --- /dev/null +++ b/2021-04-30/X148903.340 @@ -0,0 +1,207 @@ +Sensor Model: CX-1050-CU-HT 2021-04-30 +Serial Number: X148903 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 198 + +No. Units Temperature (K) + + 1 1.832272 330.0000 + 2 1.859240 310.0000 + 3 1.871382 301.4900 + 4 1.883592 293.2135 + 5 1.895870 285.1643 + 6 1.908211 277.3361 + 7 1.920607 269.7227 + 8 1.933054 262.3184 + 9 1.945545 255.1173 + 10 1.958072 248.1139 + 11 1.970631 241.3027 + 12 1.983218 234.6785 + 13 1.995830 228.2362 + 14 2.008463 221.9707 + 15 2.021116 215.8772 + 16 2.033785 209.9510 + 17 2.046467 204.1875 + 18 2.059159 198.5822 + 19 2.071857 193.1308 + 20 2.084558 187.8290 + 21 2.097260 182.6728 + 22 2.109958 177.6581 + 23 2.122651 172.7811 + 24 2.135334 168.0379 + 25 2.148004 163.4250 + 26 2.160662 158.9387 + 27 2.173313 154.5756 + 28 2.185964 150.3322 + 29 2.198620 146.2053 + 30 2.211267 142.1917 + 31 2.223884 138.2883 + 32 2.236450 134.4921 + 33 2.248954 130.8000 + 34 2.261396 127.2093 + 35 2.273773 123.7172 + 36 2.286092 120.3210 + 37 2.298376 117.0180 + 38 2.310646 113.8056 + 39 2.322920 110.6815 + 40 2.335193 107.6431 + 41 2.347460 104.6881 + 42 2.359712 101.8142 + 43 2.371942 99.01923 + 44 2.384145 96.30098 + 45 2.396314 93.65735 + 46 2.408447 91.08629 + 47 2.420548 88.58582 + 48 2.432619 86.15398 + 49 2.444662 83.78891 + 50 2.456680 81.48876 + 51 2.468676 79.25175 + 52 2.480653 77.07615 + 53 2.492610 74.96028 + 54 2.504549 72.90249 + 55 2.516469 70.90119 + 56 2.528370 68.95483 + 57 2.540252 67.06190 + 58 2.552114 65.22094 + 59 2.563956 63.43051 + 60 2.575778 61.68923 + 61 2.587579 59.99576 + 62 2.599358 58.34877 + 63 2.611117 56.74699 + 64 2.622853 55.18919 + 65 2.634568 53.67415 + 66 2.646263 52.20070 + 67 2.657939 50.76770 + 68 2.669600 49.37404 + 69 2.681247 48.01864 + 70 2.692882 46.70045 + 71 2.704507 45.41844 + 72 2.716122 44.17162 + 73 2.727720 42.95904 + 74 2.739295 41.77974 + 75 2.750841 40.63281 + 76 2.762350 39.51737 + 77 2.773817 38.43255 + 78 2.785237 37.37751 + 79 2.796617 36.35143 + 80 2.807974 35.35352 + 81 2.819325 34.38301 + 82 2.830678 33.43913 + 83 2.842028 32.52117 + 84 2.853368 31.62841 + 85 2.864693 30.76016 + 86 2.876002 29.91574 + 87 2.887297 29.09450 + 88 2.898578 28.29580 + 89 2.909845 27.51903 + 90 2.921098 26.76359 + 91 2.932339 26.02888 + 92 2.943567 25.31435 + 93 2.954783 24.61942 + 94 2.965987 23.94358 + 95 2.977181 23.28628 + 96 2.988367 22.64704 + 97 2.999547 22.02534 + 98 3.010724 21.42070 + 99 3.021900 20.83267 +100 3.033078 20.26077 +101 3.044260 19.70458 +102 3.055450 19.16366 +103 3.066650 18.63758 +104 3.077865 18.12595 +105 3.089099 17.62836 +106 3.100355 17.14443 +107 3.111636 16.67379 +108 3.122946 16.21606 +109 3.134290 15.77090 +110 3.145671 15.33796 +111 3.157093 14.91691 +112 3.168559 14.50741 +113 3.180075 14.10916 +114 3.191645 13.72184 +115 3.203271 13.34515 +116 3.214953 12.97880 +117 3.226692 12.62251 +118 3.238488 12.27600 +119 3.250340 11.93901 +120 3.262249 11.61126 +121 3.274215 11.29251 +122 3.286244 10.98251 +123 3.298344 10.68102 +124 3.310525 10.38781 +125 3.322796 10.10265 +126 3.335166 9.825312 +127 3.347644 9.555591 +128 3.360235 9.293273 +129 3.372943 9.038157 +130 3.385771 8.790044 +131 3.398721 8.548742 +132 3.411797 8.314064 +133 3.425000 8.085829 +134 3.438334 7.863859 +135 3.451803 7.647982 +136 3.465409 7.438032 +137 3.479158 7.233845 +138 3.493051 7.035263 +139 3.507094 6.842133 +140 3.521290 6.654305 +141 3.535642 6.471633 +142 3.550157 6.293975 +143 3.564841 6.121195 +144 3.579701 5.953157 +145 3.594744 5.789733 +146 3.609979 5.630795 +147 3.625414 5.476220 +148 3.641056 5.325888 +149 3.656912 5.179683 +150 3.672988 5.037492 +151 3.689290 4.899204 +152 3.705820 4.764712 +153 3.722579 4.633913 +154 3.739568 4.506704 +155 3.756786 4.382987 +156 3.774232 4.262667 +157 3.791907 4.145649 +158 3.809814 4.031844 +159 3.827964 3.921163 +160 3.846370 3.813520 +161 3.865045 3.708832 +162 3.884003 3.607018 +163 3.903259 3.508000 +164 3.922830 3.411699 +165 3.942724 3.318042 +166 3.962949 3.226956 +167 3.983510 3.138370 +168 4.004414 3.052217 +169 4.025665 2.968428 +170 4.047266 2.886940 +171 4.069223 2.807688 +172 4.091549 2.730612 +173 4.114257 2.655652 +174 4.137363 2.582750 +175 4.160884 2.511849 +176 4.184834 2.442894 +177 4.209230 2.375833 +178 4.234074 2.310612 +179 4.259347 2.247182 +180 4.285027 2.185493 +181 4.311104 2.125497 +182 4.337600 2.067149 +183 4.364542 2.010402 +184 4.391960 1.955213 +185 4.419877 1.901539 +186 4.448309 1.849338 +187 4.477273 1.798571 +188 4.506785 1.749197 +189 4.536862 1.701178 +190 4.567524 1.654478 +191 4.598787 1.609060 +192 4.630675 1.564888 +193 4.663217 1.521930 +194 4.696438 1.480150 +195 4.730370 1.439517 +196 4.765024 1.400000 +197 4.964670 1.200000 +198 5.212485 1.000000 diff --git a/2021-04-30/X148906.340 b/2021-04-30/X148906.340 new file mode 100644 index 0000000..2706c7b --- /dev/null +++ b/2021-04-30/X148906.340 @@ -0,0 +1,207 @@ +Sensor Model: CX-1050-CU-HT 2021-04-30 +Serial Number: X148906 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 198 + +No. Units Temperature (K) + + 1 1.814412 330.0000 + 2 1.840844 310.0000 + 3 1.852734 301.4900 + 4 1.864696 293.2135 + 5 1.876721 285.1643 + 6 1.888803 277.3361 + 7 1.900936 269.7227 + 8 1.913115 262.3184 + 9 1.925333 255.1173 + 10 1.937585 248.1139 + 11 1.949864 241.3027 + 12 1.962169 234.6785 + 13 1.974496 228.2362 + 14 1.986843 221.9707 + 15 1.999207 215.8772 + 16 2.011585 209.9510 + 17 2.023976 204.1875 + 18 2.036375 198.5822 + 19 2.048781 193.1308 + 20 2.061190 187.8290 + 21 2.073599 182.6728 + 22 2.086007 177.6581 + 23 2.098409 172.7811 + 24 2.110804 168.0379 + 25 2.123188 163.4250 + 26 2.135559 158.9387 + 27 2.147914 154.5756 + 28 2.160251 150.3322 + 29 2.172569 146.2053 + 30 2.184866 142.1917 + 31 2.197143 138.2883 + 32 2.209400 134.4921 + 33 2.221625 130.8000 + 34 2.233797 127.2093 + 35 2.245892 123.7172 + 36 2.257910 120.3210 + 37 2.269881 117.0180 + 38 2.281838 113.8056 + 39 2.293805 110.6815 + 40 2.305777 107.6431 + 41 2.317738 104.6881 + 42 2.329676 101.8142 + 43 2.341584 99.01923 + 44 2.353461 96.30098 + 45 2.365305 93.65735 + 46 2.377117 91.08629 + 47 2.388898 88.58582 + 48 2.400651 86.15398 + 49 2.412377 83.78891 + 50 2.424078 81.48876 + 51 2.435756 79.25175 + 52 2.447412 77.07615 + 53 2.459049 74.96028 + 54 2.470665 72.90249 + 55 2.482261 70.90119 + 56 2.493838 68.95483 + 57 2.505393 67.06190 + 58 2.516928 65.22094 + 59 2.528441 63.43051 + 60 2.539933 61.68923 + 61 2.551404 59.99576 + 62 2.562853 58.34877 + 63 2.574279 56.74699 + 64 2.585683 55.18919 + 65 2.597065 53.67415 + 66 2.608425 52.20070 + 67 2.619764 50.76770 + 68 2.631083 49.37404 + 69 2.642383 48.01864 + 70 2.653665 46.70045 + 71 2.664929 45.41844 + 72 2.676178 44.17162 + 73 2.687414 42.95904 + 74 2.698639 41.77974 + 75 2.709854 40.63281 + 76 2.721045 39.51737 + 77 2.732199 38.43255 + 78 2.743300 37.37751 + 79 2.754352 36.35143 + 80 2.765374 35.35352 + 81 2.776382 34.38301 + 82 2.787386 33.43913 + 83 2.798383 32.52117 + 84 2.809369 31.62841 + 85 2.820342 30.76016 + 86 2.831301 29.91574 + 87 2.842245 29.09450 + 88 2.853174 28.29580 + 89 2.864087 27.51903 + 90 2.874984 26.76359 + 91 2.885864 26.02888 + 92 2.896728 25.31435 + 93 2.907575 24.61942 + 94 2.918408 23.94358 + 95 2.929227 23.28628 + 96 2.940036 22.64704 + 97 2.950837 22.02534 + 98 2.961634 21.42070 + 99 2.972429 20.83267 +100 2.983226 20.26077 +101 2.994026 19.70458 +102 3.004834 19.16366 +103 3.015651 18.63758 +104 3.026481 18.12595 +105 3.037326 17.62836 +106 3.048190 17.14443 +107 3.059075 16.67379 +108 3.069984 16.21606 +109 3.080919 15.77090 +110 3.091884 15.33796 +111 3.102882 14.91691 +112 3.113916 14.50741 +113 3.124988 14.10916 +114 3.136103 13.72184 +115 3.147265 13.34515 +116 3.158487 12.97880 +117 3.169778 12.62251 +118 3.181147 12.27600 +119 3.192585 11.93901 +120 3.204079 11.61126 +121 3.215617 11.29251 +122 3.227201 10.98251 +123 3.238842 10.68102 +124 3.250551 10.38781 +125 3.262340 10.10265 +126 3.274218 9.825312 +127 3.286196 9.555591 +128 3.298279 9.293273 +129 3.310473 9.038157 +130 3.322778 8.790044 +131 3.335199 8.548742 +132 3.347736 8.314064 +133 3.360394 8.085829 +134 3.373174 7.863859 +135 3.386080 7.647982 +136 3.399116 7.438032 +137 3.412285 7.233845 +138 3.425590 7.035263 +139 3.439035 6.842133 +140 3.452623 6.654305 +141 3.466358 6.471633 +142 3.480245 6.293975 +143 3.494289 6.121195 +144 3.508495 5.953157 +145 3.522871 5.789733 +146 3.537421 5.630795 +147 3.552154 5.476220 +148 3.567074 5.325888 +149 3.582187 5.179683 +150 3.597497 5.037492 +151 3.613009 4.899204 +152 3.628735 4.764712 +153 3.644685 4.633913 +154 3.660872 4.506704 +155 3.677295 4.382987 +156 3.693941 4.262667 +157 3.710796 4.145649 +158 3.727854 4.031844 +159 3.745127 3.921163 +160 3.762628 3.813520 +161 3.780372 3.708832 +162 3.798375 3.607018 +163 3.816654 3.508000 +164 3.835228 3.411699 +165 3.854106 3.318042 +166 3.873296 3.226956 +167 3.892803 3.138370 +168 3.912631 3.052217 +169 3.932786 2.968428 +170 3.953270 2.886940 +171 3.974087 2.807688 +172 3.995246 2.730612 +173 4.016756 2.655652 +174 4.038625 2.582750 +175 4.060863 2.511849 +176 4.083479 2.442894 +177 4.106481 2.375833 +178 4.129881 2.310612 +179 4.153695 2.247182 +180 4.177938 2.185493 +181 4.202620 2.125497 +182 4.227725 2.067149 +183 4.253231 2.010402 +184 4.279115 1.955213 +185 4.305393 1.901539 +186 4.332119 1.849338 +187 4.359353 1.798571 +188 4.387149 1.749197 +189 4.415515 1.701178 +190 4.444453 1.654478 +191 4.473960 1.609060 +192 4.504035 1.564888 +193 4.534676 1.521930 +194 4.565879 1.480150 +195 4.597637 1.439517 +196 4.629952 1.400000 +197 4.823030 1.200000 +198 5.063966 1.000000 diff --git a/2021-04-30/X154359.340 b/2021-04-30/X154359.340 new file mode 100644 index 0000000..2855bb4 --- /dev/null +++ b/2021-04-30/X154359.340 @@ -0,0 +1,207 @@ +Sensor Model: CX-1050-CU-HT 2021-04-30 +Serial Number: X154359 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 198 + +No. Units Temperature (K) + + 1 1.752240 330.0000 + 2 1.776224 310.0000 + 3 1.787015 301.4900 + 4 1.797870 293.2135 + 5 1.808781 285.1643 + 6 1.819743 277.3361 + 7 1.830751 269.7227 + 8 1.841798 262.3184 + 9 1.852878 255.1173 + 10 1.863986 248.1139 + 11 1.875115 241.3027 + 12 1.886262 234.6785 + 13 1.897425 228.2362 + 14 1.908601 221.9707 + 15 1.919786 215.8772 + 16 1.930977 209.9510 + 17 1.942172 204.1875 + 18 1.953367 198.5822 + 19 1.964559 193.1308 + 20 1.975745 187.8290 + 21 1.986922 182.6728 + 22 1.998087 177.6581 + 23 2.009237 172.7811 + 24 2.020368 168.0379 + 25 2.031478 163.4250 + 26 2.042563 158.9387 + 27 2.053621 154.5756 + 28 2.064647 150.3322 + 29 2.075638 146.2053 + 30 2.086593 142.1917 + 31 2.097512 138.2883 + 32 2.108392 134.4921 + 33 2.119230 130.8000 + 34 2.130015 127.2093 + 35 2.140740 123.7172 + 36 2.151409 120.3210 + 37 2.162048 117.0180 + 38 2.172682 113.8056 + 39 2.183331 110.6815 + 40 2.193975 107.6431 + 41 2.204587 104.6881 + 42 2.215140 101.8142 + 43 2.225632 99.01923 + 44 2.236068 96.30098 + 45 2.246457 93.65735 + 46 2.256804 91.08629 + 47 2.267110 88.58582 + 48 2.277379 86.15398 + 49 2.287611 83.78891 + 50 2.297809 81.48876 + 51 2.307974 79.25175 + 52 2.318109 77.07615 + 53 2.328215 74.96028 + 54 2.338291 72.90249 + 55 2.348338 70.90119 + 56 2.358355 68.95483 + 57 2.368343 67.06190 + 58 2.378301 65.22094 + 59 2.388229 63.43051 + 60 2.398127 61.68923 + 61 2.407995 59.99576 + 62 2.417832 58.34877 + 63 2.427639 56.74699 + 64 2.437415 55.18919 + 65 2.447160 53.67415 + 66 2.456874 52.20070 + 67 2.466557 50.76770 + 68 2.476208 49.37404 + 69 2.485828 48.01864 + 70 2.495416 46.70045 + 71 2.504973 45.41844 + 72 2.514498 44.17162 + 73 2.523990 42.95904 + 74 2.533451 41.77974 + 75 2.542879 40.63281 + 76 2.552275 39.51737 + 77 2.561638 38.43255 + 78 2.570969 37.37751 + 79 2.580267 36.35143 + 80 2.589535 35.35352 + 81 2.598774 34.38301 + 82 2.607984 33.43913 + 83 2.617167 32.52117 + 84 2.626325 31.62841 + 85 2.635458 30.76016 + 86 2.644568 29.91574 + 87 2.653656 29.09450 + 88 2.662722 28.29580 + 89 2.671768 27.51903 + 90 2.680793 26.76359 + 91 2.689800 26.02888 + 92 2.698787 25.31435 + 93 2.707753 24.61942 + 94 2.716696 23.94358 + 95 2.725613 23.28628 + 96 2.734506 22.64704 + 97 2.743374 22.02534 + 98 2.752217 21.42070 + 99 2.761040 20.83267 +100 2.769850 20.26077 +101 2.778654 19.70458 +102 2.787455 19.16366 +103 2.796256 18.63758 +104 2.805060 18.12595 +105 2.813869 17.62836 +106 2.822685 17.14443 +107 2.831510 16.67379 +108 2.840346 16.21606 +109 2.849196 15.77090 +110 2.858062 15.33796 +111 2.866945 14.91691 +112 2.875849 14.50741 +113 2.884776 14.10916 +114 2.893729 13.72184 +115 2.902709 13.34515 +116 2.911720 12.97880 +117 2.920765 12.62251 +118 2.929846 12.27600 +119 2.938966 11.93901 +120 2.948129 11.61126 +121 2.957338 11.29251 +122 2.966594 10.98251 +123 2.975896 10.68102 +124 2.985245 10.38781 +125 2.994645 10.10265 +126 3.004106 9.825312 +127 3.013636 9.555591 +128 3.023243 9.293273 +129 3.032929 9.038157 +130 3.042695 8.790044 +131 3.052542 8.548742 +132 3.062471 8.314064 +133 3.072485 8.085829 +134 3.082584 7.863859 +135 3.092770 7.647982 +136 3.103045 7.438032 +137 3.113410 7.233845 +138 3.123867 7.035263 +139 3.134418 6.842133 +140 3.145063 6.654305 +141 3.155808 6.471633 +142 3.166662 6.293975 +143 3.177645 6.121195 +144 3.188773 5.953157 +145 3.200048 5.789733 +146 3.211450 5.630795 +147 3.222958 5.476220 +148 3.234561 5.325888 +149 3.246273 5.179683 +150 3.258116 5.037492 +151 3.270108 4.899204 +152 3.282253 4.764712 +153 3.294552 4.633913 +154 3.307003 4.506704 +155 3.319604 4.382987 +156 3.332353 4.262667 +157 3.345249 4.145649 +158 3.358293 4.031844 +159 3.371492 3.921163 +160 3.384855 3.813520 +161 3.398390 3.708832 +162 3.412106 3.607018 +163 3.426014 3.508000 +164 3.440124 3.411699 +165 3.454443 3.318042 +166 3.468975 3.226956 +167 3.483725 3.138370 +168 3.498697 3.052217 +169 3.513895 2.968428 +170 3.529321 2.886940 +171 3.544979 2.807688 +172 3.560872 2.730612 +173 3.577000 2.655652 +174 3.593367 2.582750 +175 3.609974 2.511849 +176 3.626821 2.442894 +177 3.643911 2.375833 +178 3.661254 2.310612 +179 3.678878 2.247182 +180 3.696815 2.185493 +181 3.715081 2.125497 +182 3.733661 2.067149 +183 3.752526 2.010402 +184 3.771651 1.955213 +185 3.791042 1.901539 +186 3.810742 1.849338 +187 3.830800 1.798571 +188 3.851256 1.749197 +189 3.872108 1.701178 +190 3.893346 1.654478 +191 3.914960 1.609060 +192 3.936960 1.564888 +193 3.959369 1.521930 +194 3.982210 1.480150 +195 4.005509 1.439517 +196 4.029281 1.400000 +197 4.166155 1.200000 +198 4.336041 1.000000 diff --git a/2021-04-30/X154360.340 b/2021-04-30/X154360.340 new file mode 100644 index 0000000..89aaa18 --- /dev/null +++ b/2021-04-30/X154360.340 @@ -0,0 +1,207 @@ +Sensor Model: CX-1050-CU-HT 2021-04-30 +Serial Number: X154360 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 198 + +No. Units Temperature (K) + + 1 1.742980 330.0000 + 2 1.766033 310.0000 + 3 1.776408 301.4900 + 4 1.786851 293.2135 + 5 1.797357 285.1643 + 6 1.807921 277.3361 + 7 1.818536 269.7227 + 8 1.829198 262.3184 + 9 1.839899 255.1173 + 10 1.850634 248.1139 + 11 1.861398 241.3027 + 12 1.872187 234.6785 + 13 1.882998 228.2362 + 14 1.893827 221.9707 + 15 1.904673 215.8772 + 16 1.915531 209.9510 + 17 1.926399 204.1875 + 18 1.937272 198.5822 + 19 1.948149 193.1308 + 20 1.959024 187.8290 + 21 1.969896 182.6728 + 22 1.980761 177.6581 + 23 1.991616 172.7811 + 24 2.002457 168.0379 + 25 2.013282 163.4250 + 26 2.024086 158.9387 + 27 2.034867 154.5756 + 28 2.045622 150.3322 + 29 2.056347 146.2053 + 30 2.067041 142.1917 + 31 2.077703 138.2883 + 32 2.088333 134.4921 + 33 2.098924 130.8000 + 34 2.109469 127.2093 + 35 2.119959 123.7172 + 36 2.130395 120.3210 + 37 2.140791 117.0180 + 38 2.151164 113.8056 + 39 2.161527 110.6815 + 40 2.171883 107.6431 + 41 2.182233 104.6881 + 42 2.192575 101.8142 + 43 2.202898 99.01923 + 44 2.213188 96.30098 + 45 2.223431 93.65735 + 46 2.233621 91.08629 + 47 2.243761 88.58582 + 48 2.253857 86.15398 + 49 2.263912 83.78891 + 50 2.273932 81.48876 + 51 2.283920 79.25175 + 52 2.293881 77.07615 + 53 2.303816 74.96028 + 54 2.313725 72.90249 + 55 2.323608 70.90119 + 56 2.333465 68.95483 + 57 2.343296 67.06190 + 58 2.353101 65.22094 + 59 2.362878 63.43051 + 60 2.372628 61.68923 + 61 2.382351 59.99576 + 62 2.392047 58.34877 + 63 2.401714 56.74699 + 64 2.411354 55.18919 + 65 2.420965 53.67415 + 66 2.430548 52.20070 + 67 2.440102 50.76770 + 68 2.449627 49.37404 + 69 2.459123 48.01864 + 70 2.468590 46.70045 + 71 2.478027 45.41844 + 72 2.487434 44.17162 + 73 2.496811 42.95904 + 74 2.506158 41.77974 + 75 2.515474 40.63281 + 76 2.524760 39.51737 + 77 2.534015 38.43255 + 78 2.543239 37.37751 + 79 2.552433 36.35143 + 80 2.561598 35.35352 + 81 2.570735 34.38301 + 82 2.579844 33.43913 + 83 2.588928 32.52117 + 84 2.597988 31.62841 + 85 2.607024 30.76016 + 86 2.616037 29.91574 + 87 2.625028 29.09450 + 88 2.633997 28.29580 + 89 2.642943 27.51903 + 90 2.651868 26.76359 + 91 2.660770 26.02888 + 92 2.669653 25.31435 + 93 2.678518 24.61942 + 94 2.687368 23.94358 + 95 2.696207 23.28628 + 96 2.705031 22.64704 + 97 2.713836 22.02534 + 98 2.722620 21.42070 + 99 2.731386 20.83267 +100 2.740138 20.26077 +101 2.748881 19.70458 +102 2.757619 19.16366 +103 2.766355 18.63758 +104 2.775092 18.12595 +105 2.783832 17.62836 +106 2.792577 17.14443 +107 2.801331 16.67379 +108 2.810097 16.21606 +109 2.818876 15.77090 +110 2.827672 15.33796 +111 2.836488 14.91691 +112 2.845326 14.50741 +113 2.854190 14.10916 +114 2.863082 13.72184 +115 2.872005 13.34515 +116 2.880961 12.97880 +117 2.889952 12.62251 +118 2.898979 12.27600 +119 2.908044 11.93901 +120 2.917150 11.61126 +121 2.926298 11.29251 +122 2.935491 10.98251 +123 2.944731 10.68102 +124 2.954021 10.38781 +125 2.963365 10.10265 +126 2.972772 9.825312 +127 2.982249 9.555591 +128 2.991802 9.293273 +129 3.001434 9.038157 +130 3.011145 8.790044 +131 3.020939 8.548742 +132 3.030815 8.314064 +133 3.040775 8.085829 +134 3.050821 7.863859 +135 3.060956 7.647982 +136 3.071180 7.438032 +137 3.081496 7.233845 +138 3.091906 7.035263 +139 3.102411 6.842133 +140 3.113014 6.654305 +141 3.123717 6.471633 +142 3.134525 6.293975 +143 3.145444 6.121195 +144 3.156481 5.953157 +145 3.167643 5.789733 +146 3.178939 5.630795 +147 3.190375 5.476220 +148 3.201957 5.325888 +149 3.213681 5.179683 +150 3.225540 5.037492 +151 3.237532 4.899204 +152 3.249656 4.764712 +153 3.261916 4.633913 +154 3.274315 4.506704 +155 3.286858 4.382987 +156 3.299548 4.262667 +157 3.312389 4.145649 +158 3.325385 4.031844 +159 3.338543 3.921163 +160 3.351869 3.813520 +161 3.365370 3.708832 +162 3.379051 3.607018 +163 3.392922 3.508000 +164 3.406988 3.411699 +165 3.421257 3.318042 +166 3.435734 3.226956 +167 3.450426 3.138370 +168 3.465338 3.052217 +169 3.480473 2.968428 +170 3.495838 2.886940 +171 3.511436 2.807688 +172 3.527273 2.730612 +173 3.543352 2.655652 +174 3.559678 2.582750 +175 3.576255 2.511849 +176 3.593086 2.442894 +177 3.610175 2.375833 +178 3.627529 2.310612 +179 3.645157 2.247182 +180 3.663071 2.185493 +181 3.681280 2.125497 +182 3.699782 2.067149 +183 3.718576 2.010402 +184 3.737659 1.955213 +185 3.757035 1.901539 +186 3.776720 1.849338 +187 3.796729 1.798571 +188 3.817078 1.749197 +189 3.837785 1.701178 +190 3.858867 1.654478 +191 3.880343 1.609060 +192 3.902226 1.564888 +193 3.924524 1.521930 +194 3.947246 1.480150 +195 3.970400 1.439517 +196 3.993994 1.400000 +197 4.133073 1.200000 +198 4.306274 1.000000 diff --git a/2021-04-30/X161269.340 b/2021-04-30/X161269.340 new file mode 100644 index 0000000..934f075 --- /dev/null +++ b/2021-04-30/X161269.340 @@ -0,0 +1,72 @@ +Sensor Model: CX-1050-CU-HT-1.4M 2021-04-30 +Serial Number: X161269 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 310.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 63 + +No. Units Temperature (K) + + 1 1.776224 310.0000 + 2 1.786358 302.0000 + 3 1.804896 288.0000 + 4 1.841106 262.7752 + 5 1.877682 239.7598 + 6 1.914454 218.7602 + 7 1.951311 199.5998 + 8 1.988144 182.1177 + 9 2.024840 166.1667 + 10 2.061290 151.6128 + 11 2.097384 138.3336 + 12 2.133037 126.2175 + 13 2.168152 115.1626 + 14 2.203179 105.0760 + 15 2.237734 95.87282 + 16 2.271767 87.47569 + 17 2.305395 79.81404 + 18 2.338683 72.82345 + 19 2.371652 66.44513 + 20 2.404297 60.62546 + 21 2.436613 55.31552 + 22 2.468594 50.47065 + 23 2.500235 46.05012 + 24 2.531531 42.01678 + 25 2.562476 38.33669 + 26 2.593074 34.97893 + 27 2.623357 31.91527 + 28 2.653371 29.11993 + 29 2.683151 26.56943 + 30 2.712715 24.24232 + 31 2.742023 22.11903 + 32 2.771087 20.18171 + 33 2.800072 18.41408 + 34 2.829094 16.80126 + 35 2.858233 15.32971 + 36 2.887570 13.98704 + 37 2.917191 12.76197 + 38 2.947195 11.64420 + 39 2.977680 10.62433 + 40 3.008711 9.693785 + 41 3.040511 8.844745 + 42 3.073190 8.070068 + 43 3.106797 7.363243 + 44 3.141391 6.718326 + 45 3.177081 6.129894 + 46 3.214225 5.593001 + 47 3.252590 5.103132 + 48 3.292424 4.656169 + 49 3.333904 4.248353 + 50 3.377002 3.876257 + 51 3.421916 3.536751 + 52 3.468971 3.226981 + 53 3.518386 2.944342 + 54 3.570288 2.686459 + 55 3.624763 2.451163 + 56 3.681933 2.236475 + 57 3.742391 2.040591 + 58 3.805934 1.861864 + 59 3.873170 1.698790 + 60 3.944609 1.550000 + 61 3.965781 1.510000 + 62 4.017111 1.420000 + 63 4.041694 1.380000 diff --git a/2021-04-30/X163059.340 b/2021-04-30/X163059.340 new file mode 100644 index 0000000..2187f48 --- /dev/null +++ b/2021-04-30/X163059.340 @@ -0,0 +1,72 @@ +Sensor Model: CX-1050-CU-HT 2021-04-30 +Serial Number: X163059 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 310.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 63 + +No. Units Temperature (K) + + 1 1.840844 310.0000 + 2 1.852010 302.0000 + 3 1.872440 288.0000 + 4 1.912352 262.7752 + 5 1.952698 239.7598 + 6 1.993312 218.7602 + 7 2.034098 199.5998 + 8 2.074956 182.1177 + 9 2.115787 166.1667 + 10 2.156494 151.6128 + 11 2.196999 138.3336 + 12 2.237207 126.2175 + 13 2.276746 115.1626 + 14 2.316150 105.0760 + 15 2.355359 95.87282 + 16 2.394226 87.47569 + 17 2.432792 79.81404 + 18 2.471117 72.82345 + 19 2.509224 66.44513 + 20 2.547104 60.62546 + 21 2.584747 55.31552 + 22 2.622152 50.47065 + 23 2.659342 46.05012 + 24 2.696358 42.01678 + 25 2.733197 38.33669 + 26 2.769588 34.97893 + 27 2.805807 31.91527 + 28 2.841901 29.11993 + 29 2.877831 26.56943 + 30 2.913584 24.24232 + 31 2.949190 22.11903 + 32 2.984742 20.18171 + 33 3.020343 18.41408 + 34 3.056095 16.80126 + 35 3.092097 15.32971 + 36 3.128455 13.98704 + 37 3.165312 12.76197 + 38 3.202907 11.64420 + 39 3.241075 10.62433 + 40 3.280004 9.693785 + 41 3.320026 8.844745 + 42 3.361285 8.070068 + 43 3.403882 7.363243 + 44 3.447933 6.718326 + 45 3.493569 6.129894 + 46 3.540969 5.593001 + 47 3.590351 5.103132 + 48 3.641923 4.656169 + 49 3.695967 4.248353 + 50 3.752340 3.876257 + 51 3.811264 3.536751 + 52 3.873291 3.226981 + 53 3.938747 2.944342 + 54 4.007800 2.686459 + 55 4.080713 2.451163 + 56 4.157823 2.236475 + 57 4.239525 2.040591 + 58 4.325593 1.861864 + 59 4.416962 1.698790 + 60 4.514495 1.550000 + 61 4.543441 1.510000 + 62 4.613412 1.420000 + 63 4.646931 1.380000 diff --git a/2021-04-30/X163060.340 b/2021-04-30/X163060.340 new file mode 100644 index 0000000..63552ee --- /dev/null +++ b/2021-04-30/X163060.340 @@ -0,0 +1,72 @@ +Sensor Model: CX-1050-CU-HT 2021-04-30 +Serial Number: X163060 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 310.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 63 + +No. Units Temperature (K) + + 1 1.766033 310.0000 + 2 1.775776 302.0000 + 3 1.793616 288.0000 + 4 1.828530 262.7752 + 5 1.863882 239.7598 + 6 1.899502 218.7602 + 7 1.935275 199.5998 + 8 1.971085 182.1177 + 9 2.006814 166.1667 + 10 2.042347 151.6128 + 11 2.077578 138.3336 + 12 2.112425 126.2175 + 13 2.146748 115.1626 + 14 2.180858 105.0760 + 15 2.214832 95.87282 + 16 2.248340 87.47569 + 17 2.281386 79.81404 + 18 2.314111 72.82345 + 19 2.346554 66.44513 + 20 2.378708 60.62546 + 21 2.410563 55.31552 + 22 2.442113 50.47065 + 23 2.473348 46.05012 + 24 2.504260 42.01678 + 25 2.534844 38.33669 + 26 2.565098 34.97893 + 27 2.595052 31.91527 + 28 2.624746 29.11993 + 29 2.654198 26.56943 + 30 2.683427 24.24232 + 31 2.712495 22.11903 + 32 2.741367 20.18171 + 33 2.770142 18.41408 + 34 2.798935 16.80126 + 35 2.827843 15.32971 + 36 2.856964 13.98704 + 37 2.886398 12.76197 + 38 2.916221 11.64420 + 39 2.946504 10.62433 + 40 2.977351 9.693785 + 41 3.008974 8.844745 + 42 3.041476 8.070068 + 43 3.074914 7.363243 + 44 3.109356 6.718326 + 45 3.144884 6.129894 + 46 3.181692 5.593001 + 47 3.220008 5.103132 + 48 3.259795 4.656169 + 49 3.301091 4.248353 + 50 3.344037 3.876257 + 51 3.388834 3.536751 + 52 3.435730 3.226981 + 53 3.484946 2.944342 + 54 3.536660 2.686459 + 55 3.591029 2.451163 + 56 3.648210 2.236475 + 57 3.708477 2.040591 + 58 3.771918 1.861864 + 59 3.838839 1.698790 + 60 3.909836 1.550000 + 61 3.930904 1.510000 + 62 3.981915 1.420000 + 63 4.006365 1.380000 diff --git a/2021-04-30/X163061.340 b/2021-04-30/X163061.340 new file mode 100644 index 0000000..01282c9 --- /dev/null +++ b/2021-04-30/X163061.340 @@ -0,0 +1,72 @@ +Sensor Model: CX-1050-CU-HT 2021-04-30 +Serial Number: X163061 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 310.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 63 + +No. Units Temperature (K) + + 1 1.859240 310.0000 + 2 1.870643 302.0000 + 3 1.891498 288.0000 + 4 1.932275 262.7752 + 5 1.973529 239.7598 + 6 2.015084 218.7602 + 7 2.056828 199.5998 + 8 2.098649 182.1177 + 9 2.140433 166.1667 + 10 2.182109 151.6128 + 11 2.223736 138.3336 + 12 2.264883 126.2175 + 13 2.305421 115.1626 + 14 2.345830 105.0760 + 15 2.386095 95.87282 + 16 2.426020 87.47569 + 17 2.465632 79.81404 + 18 2.505014 72.82345 + 19 2.544192 66.44513 + 20 2.583155 60.62546 + 21 2.621890 55.31552 + 22 2.660399 50.47065 + 23 2.698740 46.05012 + 24 2.736945 42.01678 + 25 2.774844 38.33669 + 26 2.812317 34.97893 + 27 2.849691 31.91527 + 28 2.886943 29.11993 + 29 2.924040 26.56943 + 30 2.960998 24.24232 + 31 2.997842 22.11903 + 32 3.034648 20.18171 + 33 3.071509 18.41408 + 34 3.108546 16.80126 + 35 3.145892 15.32971 + 36 3.183683 13.98704 + 37 3.222052 12.76197 + 38 3.261034 11.64420 + 39 3.300667 10.62433 + 40 3.341194 9.693785 + 41 3.382902 8.844745 + 42 3.425930 8.070068 + 43 3.470384 7.363243 + 44 3.516389 6.718326 + 45 3.564087 6.129894 + 46 3.613695 5.593001 + 47 3.665483 5.103132 + 48 3.719678 4.656169 + 49 3.776356 4.248353 + 50 3.835548 3.876257 + 51 3.897581 3.536751 + 52 3.962943 3.226981 + 53 4.031951 2.944342 + 54 4.104800 2.686459 + 55 4.181903 2.451163 + 56 4.263725 2.236475 + 57 4.350058 2.040591 + 58 4.441366 1.861864 + 59 4.538396 1.698790 + 60 4.641776 1.550000 + 61 4.672538 1.510000 + 62 4.747280 1.420000 + 63 4.783128 1.380000 diff --git a/2021-04-30/X163062.340 b/2021-04-30/X163062.340 new file mode 100644 index 0000000..26ddc83 --- /dev/null +++ b/2021-04-30/X163062.340 @@ -0,0 +1,72 @@ +Sensor Model: CX-1050-CU-HT 2021-04-30 +Serial Number: X163062 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 310.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 63 + +No. Units Temperature (K) + + 1 1.534414 310.0000 + 2 1.541158 302.0000 + 3 1.553484 288.0000 + 4 1.577535 262.7752 + 5 1.601746 239.7598 + 6 1.625954 218.7602 + 7 1.650081 199.5998 + 8 1.674074 182.1177 + 9 1.697884 166.1667 + 10 1.721435 151.6128 + 11 1.744529 138.3336 + 12 1.767077 126.2175 + 13 1.789151 115.1626 + 14 1.810845 105.0760 + 15 1.832173 95.87282 + 16 1.853133 87.47569 + 17 1.873735 79.81404 + 18 1.893993 72.82345 + 19 1.913924 66.44513 + 20 1.933545 60.62546 + 21 1.952866 55.31552 + 22 1.971898 50.47065 + 23 1.990624 46.05012 + 24 2.009020 42.01678 + 25 2.027065 38.33669 + 26 2.044747 34.97893 + 27 2.062098 31.91527 + 28 2.079158 29.11993 + 29 2.095927 26.56943 + 30 2.112395 24.24232 + 31 2.128583 22.11903 + 32 2.144540 20.18171 + 33 2.160322 18.41408 + 34 2.176009 16.80126 + 35 2.191694 15.32971 + 36 2.207466 13.98704 + 37 2.223193 12.76197 + 38 2.238894 11.64420 + 39 2.254689 10.62433 + 40 2.270663 9.693785 + 41 2.286874 8.844745 + 42 2.303352 8.070068 + 43 2.320123 7.363243 + 44 2.337218 6.718326 + 45 2.354670 6.129894 + 46 2.372513 5.593001 + 47 2.390783 5.103132 + 48 2.409497 4.656169 + 49 2.428677 4.248353 + 50 2.448354 3.876257 + 51 2.468576 3.536751 + 52 2.489405 3.226981 + 53 2.510895 2.944342 + 54 2.533084 2.686459 + 55 2.555996 2.451163 + 56 2.579642 2.236475 + 57 2.604034 2.040591 + 58 2.629238 1.861864 + 59 2.655353 1.698790 + 60 2.682488 1.550000 + 61 2.690431 1.510000 + 62 2.709484 1.420000 + 63 2.718535 1.380000 diff --git a/2021-05-04/X161269.340 b/2021-05-04/X161269.340 new file mode 100644 index 0000000..643219c --- /dev/null +++ b/2021-05-04/X161269.340 @@ -0,0 +1,72 @@ +Sensor Model: CX-1050-CU-HT-1.4M 2021-05-04 +Serial Number: X161269 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 310.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 63 + +No. Units Temperature (K) + + 1 1.814181 310.0000 + 2 1.823553 302.0000 + 3 1.840679 288.0000 + 4 1.874072 262.7752 + 5 1.907731 239.7598 + 6 1.941505 218.7602 + 7 1.975300 199.5998 + 8 2.009021 182.1177 + 9 2.042575 166.1667 + 10 2.075865 151.6128 + 11 2.108779 138.3336 + 12 2.141248 126.2175 + 13 2.173283 115.1626 + 14 2.205139 105.0760 + 15 2.236564 95.87282 + 16 2.267523 87.47569 + 17 2.298094 79.81404 + 18 2.328330 72.82345 + 19 2.358247 66.44513 + 20 2.387833 60.62546 + 21 2.417080 55.31552 + 22 2.445977 50.47065 + 23 2.474516 46.05012 + 24 2.502687 42.01678 + 25 2.530482 38.33669 + 26 2.557903 34.97893 + 27 2.585009 31.91527 + 28 2.611868 29.11993 + 29 2.638479 26.56943 + 30 2.664836 24.24232 + 31 2.691058 22.11903 + 32 2.717307 20.18171 + 33 2.743571 18.41408 + 34 2.769930 16.80126 + 35 2.796522 15.32971 + 36 2.823492 13.98704 + 37 2.850981 12.76197 + 38 2.879051 11.64420 + 39 2.907762 10.62433 + 40 2.937299 9.693785 + 41 2.967865 8.844745 + 42 2.999559 8.070068 + 43 3.032453 7.363243 + 44 3.066634 6.718326 + 45 3.102200 6.129894 + 46 3.139320 5.593001 + 47 3.178208 5.103132 + 48 3.219038 4.656169 + 49 3.261788 4.248353 + 50 3.306482 3.876257 + 51 3.353369 3.536751 + 52 3.402802 3.226981 + 53 3.455024 2.944342 + 54 3.510193 2.686459 + 55 3.568482 2.451163 + 56 3.630109 2.236475 + 57 3.695478 2.040591 + 58 3.764340 1.861864 + 59 3.837598 1.698790 + 60 3.915664 1.550000 + 61 3.938857 1.510000 + 62 3.995136 1.420000 + 63 4.022198 1.380000 diff --git a/2021-05-04/X163059.340 b/2021-05-04/X163059.340 new file mode 100644 index 0000000..2e5a3ec --- /dev/null +++ b/2021-05-04/X163059.340 @@ -0,0 +1,72 @@ +Sensor Model: CX-1050-CU-HT 2021-05-04 +Serial Number: X163059 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 310.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 63 + +No. Units Temperature (K) + + 1 1.917064 310.0000 + 2 1.927586 302.0000 + 3 1.946781 288.0000 + 4 1.984144 262.7752 + 5 2.021707 239.7598 + 6 2.059298 218.7602 + 7 2.096848 199.5998 + 8 2.134305 182.1177 + 9 2.171618 166.1667 + 10 2.208701 151.6128 + 11 2.245318 138.3336 + 12 2.281363 126.2175 + 13 2.316841 115.1626 + 14 2.352056 105.0760 + 15 2.386968 95.87282 + 16 2.421446 87.47569 + 17 2.455525 79.81404 + 18 2.489277 72.82345 + 19 2.522716 66.44513 + 20 2.555828 60.62546 + 21 2.588595 55.31552 + 22 2.621010 50.47065 + 23 2.653100 46.05012 + 24 2.684907 42.01678 + 25 2.716423 38.33669 + 26 2.747437 34.97893 + 27 2.778189 31.91527 + 28 2.808730 29.11993 + 29 2.839063 26.56943 + 30 2.869227 24.24232 + 31 2.899283 22.11903 + 32 2.929344 20.18171 + 33 2.959534 18.41408 + 34 2.989972 16.80126 + 35 3.020781 15.32971 + 36 3.052091 13.98704 + 37 3.084038 12.76197 + 38 3.116749 11.64420 + 39 3.150344 10.62433 + 40 3.184930 9.693785 + 41 3.220972 8.844745 + 42 3.258377 8.070068 + 43 3.297207 7.363243 + 44 3.337667 6.718326 + 45 3.379939 6.129894 + 46 3.424209 5.593001 + 47 3.470679 5.103132 + 48 3.519516 4.656169 + 49 3.570895 4.248353 + 50 3.624967 3.876257 + 51 3.681756 3.536751 + 52 3.742115 3.226981 + 53 3.805983 2.944342 + 54 3.873596 2.686459 + 55 3.945376 2.451163 + 56 4.021589 2.236475 + 57 4.102552 2.040591 + 58 4.188330 1.861864 + 59 4.280204 1.698790 + 60 4.378267 1.550000 + 61 4.407434 1.510000 + 62 4.478390 1.420000 + 63 4.512639 1.380000 diff --git a/2021-05-04/X163060.340 b/2021-05-04/X163060.340 new file mode 100644 index 0000000..ae8bdd6 --- /dev/null +++ b/2021-05-04/X163060.340 @@ -0,0 +1,72 @@ +Sensor Model: CX-1050-CU-HT 2021-05-04 +Serial Number: X163060 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 310.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 63 + +No. Units Temperature (K) + + 1 1.881770 310.0000 + 2 1.891943 302.0000 + 3 1.910512 288.0000 + 4 1.946659 262.7752 + 5 1.983025 239.7598 + 6 2.019461 218.7602 + 7 2.055877 199.5998 + 8 2.092188 182.1177 + 9 2.128307 166.1667 + 10 2.164152 151.6128 + 11 2.199660 138.3336 + 12 2.234762 126.2175 + 13 2.269228 115.1626 + 14 2.303342 105.0760 + 15 2.337133 95.87282 + 16 2.370527 87.47569 + 17 2.403544 79.81404 + 18 2.436220 72.82345 + 19 2.468570 66.44513 + 20 2.500589 60.62546 + 21 2.532272 55.31552 + 22 2.563612 50.47065 + 23 2.594606 46.05012 + 24 2.625247 42.01678 + 25 2.655532 38.33669 + 26 2.685481 34.97893 + 27 2.715209 31.91527 + 28 2.744656 29.11993 + 29 2.773836 26.56943 + 30 2.802819 24.24232 + 31 2.831675 22.11903 + 32 2.860518 20.18171 + 33 2.889467 18.41408 + 34 2.918638 16.80126 + 35 2.948145 15.32971 + 36 2.978106 13.98704 + 37 3.008656 12.76197 + 38 3.039933 11.64420 + 39 3.072011 10.62433 + 40 3.104993 9.693785 + 41 3.139222 8.844745 + 42 3.174872 8.070068 + 43 3.211928 7.363243 + 44 3.250470 6.718326 + 45 3.290644 6.129894 + 46 3.332632 5.593001 + 47 3.376651 5.103132 + 48 3.422882 4.656169 + 49 3.471459 4.248353 + 50 3.522515 3.876257 + 51 3.576085 3.536751 + 52 3.632823 3.226981 + 53 3.693008 2.944342 + 54 3.756598 2.686459 + 55 3.823890 2.451163 + 56 3.895321 2.236475 + 57 3.971015 2.040591 + 58 4.051148 1.861864 + 59 4.136695 1.698790 + 60 4.228138 1.550000 + 61 4.255354 1.510000 + 62 4.321428 1.420000 + 63 4.353224 1.380000 diff --git a/2021-05-04/X163061.340 b/2021-05-04/X163061.340 new file mode 100644 index 0000000..ef30430 --- /dev/null +++ b/2021-05-04/X163061.340 @@ -0,0 +1,72 @@ +Sensor Model: CX-1050-CU-HT 2021-05-04 +Serial Number: X163061 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 310.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 63 + +No. Units Temperature (K) + + 1 1.893910 310.0000 + 2 1.904180 302.0000 + 3 1.922924 288.0000 + 4 1.959417 262.7752 + 5 1.996135 239.7598 + 6 2.032921 218.7602 + 7 2.069681 199.5998 + 8 2.106325 182.1177 + 9 2.142759 166.1667 + 10 2.178949 151.6128 + 11 2.214973 138.3336 + 12 2.250333 126.2175 + 13 2.285118 115.1626 + 14 2.319604 105.0760 + 15 2.353764 95.87282 + 16 2.387516 87.47569 + 17 2.420878 79.81404 + 18 2.453892 72.82345 + 19 2.486575 66.44513 + 20 2.518927 60.62546 + 21 2.550945 55.31552 + 22 2.582629 50.47065 + 23 2.613976 46.05012 + 24 2.644986 42.01678 + 25 2.675657 38.33669 + 26 2.705993 34.97893 + 27 2.736020 31.91527 + 28 2.765782 29.11993 + 29 2.795325 26.56943 + 30 2.824696 24.24232 + 31 2.853953 22.11903 + 32 2.883195 20.18171 + 33 2.912532 18.41408 + 34 2.942087 16.80126 + 35 2.971991 15.32971 + 36 3.002379 13.98704 + 37 3.033392 12.76197 + 38 3.065137 11.64420 + 39 3.097699 10.62433 + 40 3.131143 9.693785 + 41 3.165943 8.844745 + 42 3.202220 8.070068 + 43 3.239873 7.363243 + 44 3.279006 6.718326 + 45 3.319821 6.129894 + 46 3.362523 5.593001 + 47 3.407334 5.103132 + 48 3.454438 4.656169 + 49 3.503920 4.248353 + 50 3.555843 3.876257 + 51 3.610521 3.536751 + 52 3.668408 3.226981 + 53 3.729762 2.944342 + 54 3.794704 2.686459 + 55 3.863509 2.451163 + 56 3.936516 2.236475 + 57 4.013931 2.040591 + 58 4.096069 1.861864 + 59 4.183593 1.698790 + 60 4.277336 1.550000 + 61 4.305290 1.510000 + 62 4.373164 1.420000 + 63 4.405771 1.380000 diff --git a/2022-02-21/X137461.340 b/2022-02-21/X137461.340 new file mode 100644 index 0000000..d33b227 --- /dev/null +++ b/2022-02-21/X137461.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1030-CU 2022-02-21 +Serial Number: X137461 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.850262 330.0000 + 2 1.872411 310.0000 + 3 1.882317 301.5330 + 4 1.892304 293.2973 + 5 1.902354 285.2865 + 6 1.912463 277.4945 + 7 1.922624 269.9153 + 8 1.932832 262.5431 + 9 1.943081 255.3723 + 10 1.953365 248.3974 + 11 1.963678 241.6129 + 12 1.974018 235.0138 + 13 1.984381 228.5949 + 14 1.994764 222.3513 + 15 2.005163 216.2782 + 16 2.015577 210.3710 + 17 2.026001 204.6252 + 18 2.036432 199.0363 + 19 2.046867 193.6000 + 20 2.057303 188.3123 + 21 2.067736 183.1689 + 22 2.078163 178.1660 + 23 2.088580 173.2998 + 24 2.098985 168.5665 + 25 2.109374 163.9624 + 26 2.119744 159.4842 + 27 2.130095 155.1282 + 28 2.140425 150.8912 + 29 2.150733 146.7699 + 30 2.161020 142.7612 + 31 2.171286 138.8620 + 32 2.181533 135.0693 + 33 2.191754 131.3801 + 34 2.201938 127.7918 + 35 2.212076 124.3014 + 36 2.222164 120.9064 + 37 2.232210 117.6041 + 38 2.242221 114.3920 + 39 2.252206 111.2676 + 40 2.262166 108.2285 + 41 2.272098 105.2725 + 42 2.282004 102.3972 + 43 2.291883 99.60045 + 44 2.301733 96.88007 + 45 2.311557 94.23400 + 46 2.321355 91.66019 + 47 2.331126 89.15669 + 48 2.340872 86.72156 + 49 2.350593 84.35294 + 50 2.360289 82.04902 + 51 2.369962 79.80803 + 52 2.379611 77.62824 + 53 2.389238 75.50799 + 54 2.398844 73.44565 + 55 2.408430 71.43963 + 56 2.417996 69.48841 + 57 2.427542 67.59048 + 58 2.437071 65.74439 + 59 2.446581 63.94872 + 60 2.456075 62.20210 + 61 2.465551 60.50318 + 62 2.475011 58.85066 + 63 2.484456 57.24328 + 64 2.493886 55.67980 + 65 2.503301 54.15902 + 66 2.512701 52.67978 + 67 2.522088 51.24095 + 68 2.531459 49.84141 + 69 2.540815 48.48010 + 70 2.550156 47.15596 + 71 2.559481 45.86800 + 72 2.568790 44.61521 + 73 2.578084 43.39664 + 74 2.587360 42.21135 + 75 2.596621 41.05844 + 76 2.605864 39.93701 + 77 2.615090 38.84622 + 78 2.624300 37.78522 + 79 2.633492 36.75319 + 80 2.642669 35.74936 + 81 2.651832 34.77294 + 82 2.660985 33.82319 + 83 2.670129 32.89938 + 84 2.679266 32.00080 + 85 2.688398 31.12677 + 86 2.697526 30.27661 + 87 2.706648 29.44966 + 88 2.715760 28.64531 + 89 2.724862 27.86292 + 90 2.733951 27.10191 + 91 2.743025 26.36167 + 92 2.752082 25.64166 + 93 2.761123 24.94131 + 94 2.770148 24.26009 + 95 2.779160 23.59748 + 96 2.788161 22.95297 + 97 2.797154 22.32605 + 98 2.806142 21.71626 + 99 2.815129 21.12313 +100 2.824117 20.54620 +101 2.833110 19.98502 +102 2.842110 19.43917 +103 2.851119 18.90823 +104 2.860139 18.39179 +105 2.869171 17.88946 +106 2.878218 17.40085 +107 2.887281 16.92558 +108 2.896361 16.46329 +109 2.905459 16.01363 +110 2.914579 15.57626 +111 2.923720 15.15082 +112 2.932886 14.73701 +113 2.942077 14.33450 +114 2.951295 13.94298 +115 2.960544 13.56216 +116 2.969824 13.19174 +117 2.979138 12.83143 +118 2.988488 12.48097 +119 2.997878 12.14008 +120 3.007311 11.80850 +121 3.016788 11.48597 +122 3.026314 11.17226 +123 3.035891 10.86711 +124 3.045522 10.57030 +125 3.055212 10.28159 +126 3.064964 10.00077 +127 3.074781 9.727624 +128 3.084665 9.461935 +129 3.094618 9.203502 +130 3.104643 8.952128 +131 3.114742 8.707619 +132 3.124920 8.469789 +133 3.135180 8.238455 +134 3.145525 8.013439 +135 3.155959 7.794568 +136 3.166484 7.581676 +137 3.177102 7.374599 +138 3.187813 7.173177 +139 3.198620 6.977257 +140 3.209523 6.786688 +141 3.220523 6.601324 +142 3.231622 6.421023 +143 3.242822 6.245646 +144 3.254129 6.075059 +145 3.265545 5.909132 +146 3.277075 5.747736 +147 3.288724 5.590749 +148 3.300497 5.438050 +149 3.312397 5.289521 +150 3.324427 5.145049 +151 3.336590 5.004522 +152 3.348889 4.867834 +153 3.361329 4.734880 +154 3.373911 4.605557 +155 3.386639 4.479766 +156 3.399516 4.357410 +157 3.412545 4.238397 +158 3.425730 4.122634 +159 3.439074 4.010033 +160 3.452584 3.900507 +161 3.466264 3.793973 +162 3.480120 3.690349 +163 3.494156 3.589555 +164 3.508381 3.491514 +165 3.522798 3.396150 +166 3.537416 3.303392 +167 3.552240 3.213166 +168 3.567277 3.125406 +169 3.582534 3.040042 +170 3.598016 2.957009 +171 3.613729 2.876245 +172 3.629679 2.797686 +173 3.645872 2.721273 +174 3.662313 2.646948 +175 3.679009 2.574652 +176 3.695966 2.504331 +177 3.713188 2.435930 +178 3.730682 2.369398 +179 3.748450 2.304683 +180 3.766493 2.241735 +181 3.784809 2.180507 +182 3.803400 2.120951 +183 3.822270 2.063022 +184 3.841422 2.006675 +185 3.860861 1.951866 +186 3.880608 1.898555 +187 3.900697 1.846700 +188 3.921159 1.796262 +189 3.942012 1.747201 +190 3.963250 1.699479 +191 3.984864 1.653062 +192 4.006851 1.607912 +193 4.029226 1.563995 +194 4.052005 1.521278 +195 4.075207 1.479727 +196 4.098850 1.439312 +197 4.122955 1.400000 +198 4.265975 1.200000 +199 4.444104 1.000000 diff --git a/2022-02-21/X174782.340 b/2022-02-21/X174782.340 new file mode 100644 index 0000000..88a90b9 --- /dev/null +++ b/2022-02-21/X174782.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU 2022-02-21 +Serial Number: X174782 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.806388 330.0000 + 2 1.829457 310.0000 + 3 1.839800 301.5330 + 4 1.850177 293.2973 + 5 1.860601 285.2865 + 6 1.871066 277.4945 + 7 1.881567 269.9153 + 8 1.892098 262.5431 + 9 1.902653 255.3723 + 10 1.913227 248.3974 + 11 1.923813 241.6129 + 12 1.934410 235.0138 + 13 1.945014 228.5949 + 14 1.955622 222.3513 + 15 1.966232 216.2782 + 16 1.976840 210.3710 + 17 1.987444 204.6252 + 18 1.998040 199.0363 + 19 2.008626 193.6000 + 20 2.019200 188.3123 + 21 2.029757 183.1689 + 22 2.040295 178.1660 + 23 2.050811 173.2998 + 24 2.061303 168.5665 + 25 2.071768 163.9624 + 26 2.082202 159.4842 + 27 2.092604 155.1282 + 28 2.102971 150.8912 + 29 2.113302 146.7699 + 30 2.123595 142.7612 + 31 2.133850 138.8620 + 32 2.144068 135.0693 + 33 2.154249 131.3801 + 34 2.164393 127.7918 + 35 2.174499 124.3014 + 36 2.184568 120.9064 + 37 2.194600 117.6041 + 38 2.204595 114.3920 + 39 2.214553 111.2676 + 40 2.224475 108.2285 + 41 2.234359 105.2725 + 42 2.244207 102.3972 + 43 2.254019 99.60045 + 44 2.263794 96.88007 + 45 2.273534 94.23400 + 46 2.283240 91.66019 + 47 2.292913 89.15669 + 48 2.302554 86.72156 + 49 2.312165 84.35294 + 50 2.321745 82.04902 + 51 2.331297 79.80803 + 52 2.340821 77.62824 + 53 2.350318 75.50799 + 54 2.359789 73.44565 + 55 2.369236 71.43963 + 56 2.378659 69.48841 + 57 2.388058 67.59048 + 58 2.397435 65.74439 + 59 2.406788 63.94872 + 60 2.416120 62.20210 + 61 2.425430 60.50318 + 62 2.434720 58.85066 + 63 2.443989 57.24328 + 64 2.453238 55.67980 + 65 2.462468 54.15902 + 66 2.471678 52.67978 + 67 2.480870 51.24095 + 68 2.490043 49.84141 + 69 2.499197 48.48010 + 70 2.508331 47.15596 + 71 2.517447 45.86800 + 72 2.526544 44.61521 + 73 2.535623 43.39664 + 74 2.544682 42.21135 + 75 2.553723 41.05844 + 76 2.562745 39.93701 + 77 2.571748 38.84622 + 78 2.580733 37.78522 + 79 2.589699 36.75319 + 80 2.598647 35.74936 + 81 2.607578 34.77294 + 82 2.616492 33.82319 + 83 2.625389 32.89938 + 84 2.634271 32.00080 + 85 2.643138 31.12677 + 86 2.651990 30.27661 + 87 2.660830 29.44966 + 88 2.669658 28.64531 + 89 2.678474 27.86292 + 90 2.687280 27.10191 + 91 2.696076 26.36167 + 92 2.704863 25.64166 + 93 2.713641 24.94131 + 94 2.722406 24.26009 + 95 2.731158 23.59748 + 96 2.739897 22.95297 + 97 2.748621 22.32605 + 98 2.757333 21.71626 + 99 2.766031 21.12313 +100 2.774723 20.54620 +101 2.783412 19.98502 +102 2.792105 19.43917 +103 2.800803 18.90823 +104 2.809507 18.39179 +105 2.818221 17.88946 +106 2.826944 17.40085 +107 2.835680 16.92558 +108 2.844428 16.46329 +109 2.853191 16.01363 +110 2.861971 15.57626 +111 2.870768 15.15082 +112 2.879585 14.73701 +113 2.888423 14.33450 +114 2.897284 13.94298 +115 2.906170 13.56216 +116 2.915083 13.19174 +117 2.924026 12.83143 +118 2.933000 12.48097 +119 2.942009 12.14008 +120 2.951055 11.80850 +121 2.960141 11.48597 +122 2.969271 11.17226 +123 2.978446 10.86711 +124 2.987671 10.57030 +125 2.996949 10.28159 +126 3.006283 10.00077 +127 3.015677 9.727624 +128 3.025132 9.461935 +129 3.034651 9.203502 +130 3.044234 8.952128 +131 3.053883 8.707619 +132 3.063602 8.469789 +133 3.073392 8.238455 +134 3.083256 8.013439 +135 3.093195 7.794568 +136 3.103213 7.581676 +137 3.113312 7.374599 +138 3.123496 7.173177 +139 3.133767 6.977257 +140 3.144128 6.786688 +141 3.154582 6.601324 +142 3.165132 6.421023 +143 3.175780 6.245646 +144 3.186530 6.075059 +145 3.197384 5.909132 +146 3.208345 5.747736 +147 3.219418 5.590749 +148 3.230604 5.438050 +149 3.241906 5.289521 +150 3.253326 5.145049 +151 3.264864 5.004522 +152 3.276524 4.867834 +153 3.288308 4.734880 +154 3.300218 4.605557 +155 3.312257 4.479766 +156 3.324429 4.357410 +157 3.336737 4.238397 +158 3.349184 4.122634 +159 3.361774 4.010033 +160 3.374512 3.900507 +161 3.387403 3.793973 +162 3.400453 3.690349 +163 3.413666 3.589555 +164 3.427050 3.491514 +165 3.440609 3.396150 +166 3.454350 3.303392 +167 3.468279 3.213166 +168 3.482402 3.125406 +169 3.496724 3.040042 +170 3.511251 2.957009 +171 3.525987 2.876245 +172 3.540939 2.797686 +173 3.556110 2.721273 +174 3.571508 2.646948 +175 3.587135 2.574652 +176 3.602999 2.504331 +177 3.619103 2.435930 +178 3.635453 2.369398 +179 3.652051 2.304683 +180 3.668900 2.241735 +181 3.685999 2.180507 +182 3.703354 2.120951 +183 3.720968 2.063022 +184 3.738848 2.006675 +185 3.757000 1.951866 +186 3.775436 1.898555 +187 3.794167 1.846700 +188 3.813209 1.796262 +189 3.832575 1.747201 +190 3.852282 1.699479 +191 3.872346 1.653062 +192 3.892779 1.607912 +193 3.913588 1.563995 +194 3.934775 1.521278 +195 3.956342 1.479727 +196 3.978290 1.439312 +197 4.000618 1.400000 +198 4.132690 1.200000 +199 4.297189 1.000000 diff --git a/2022-02-21/X174783.340 b/2022-02-21/X174783.340 new file mode 100644 index 0000000..72f8fa7 --- /dev/null +++ b/2022-02-21/X174783.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU 2022-02-21 +Serial Number: X174783 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.850262 330.0000 + 2 1.872411 310.0000 + 3 1.882317 301.5330 + 4 1.892304 293.2973 + 5 1.902354 285.2865 + 6 1.912463 277.4945 + 7 1.922624 269.9153 + 8 1.932832 262.5431 + 9 1.943081 255.3723 + 10 1.953365 248.3974 + 11 1.963678 241.6129 + 12 1.974018 235.0138 + 13 1.984381 228.5949 + 14 1.994764 222.3513 + 15 2.005163 216.2782 + 16 2.015577 210.3710 + 17 2.026001 204.6252 + 18 2.036432 199.0363 + 19 2.046867 193.6000 + 20 2.057303 188.3123 + 21 2.067736 183.1689 + 22 2.078163 178.1660 + 23 2.088580 173.2998 + 24 2.098985 168.5665 + 25 2.109374 163.9624 + 26 2.119744 159.4842 + 27 2.130095 155.1282 + 28 2.140425 150.8912 + 29 2.150733 146.7699 + 30 2.161020 142.7612 + 31 2.171286 138.8620 + 32 2.181533 135.0693 + 33 2.191754 131.3801 + 34 2.201938 127.7918 + 35 2.212076 124.3014 + 36 2.222164 120.9064 + 37 2.232210 117.6041 + 38 2.242221 114.3920 + 39 2.252206 111.2676 + 40 2.262166 108.2285 + 41 2.272098 105.2725 + 42 2.282004 102.3972 + 43 2.291883 99.60045 + 44 2.301733 96.88007 + 45 2.311557 94.23400 + 46 2.321355 91.66019 + 47 2.331126 89.15669 + 48 2.340872 86.72156 + 49 2.350593 84.35294 + 50 2.360289 82.04902 + 51 2.369962 79.80803 + 52 2.379611 77.62824 + 53 2.389238 75.50799 + 54 2.398844 73.44565 + 55 2.408430 71.43963 + 56 2.417996 69.48841 + 57 2.427542 67.59048 + 58 2.437071 65.74439 + 59 2.446581 63.94872 + 60 2.456075 62.20210 + 61 2.465551 60.50318 + 62 2.475011 58.85066 + 63 2.484456 57.24328 + 64 2.493886 55.67980 + 65 2.503301 54.15902 + 66 2.512701 52.67978 + 67 2.522088 51.24095 + 68 2.531459 49.84141 + 69 2.540815 48.48010 + 70 2.550156 47.15596 + 71 2.559481 45.86800 + 72 2.568790 44.61521 + 73 2.578084 43.39664 + 74 2.587360 42.21135 + 75 2.596621 41.05844 + 76 2.605864 39.93701 + 77 2.615090 38.84622 + 78 2.624300 37.78522 + 79 2.633492 36.75319 + 80 2.642669 35.74936 + 81 2.651832 34.77294 + 82 2.660985 33.82319 + 83 2.670129 32.89938 + 84 2.679266 32.00080 + 85 2.688398 31.12677 + 86 2.697526 30.27661 + 87 2.706648 29.44966 + 88 2.715760 28.64531 + 89 2.724862 27.86292 + 90 2.733951 27.10191 + 91 2.743025 26.36167 + 92 2.752082 25.64166 + 93 2.761123 24.94131 + 94 2.770148 24.26009 + 95 2.779160 23.59748 + 96 2.788161 22.95297 + 97 2.797154 22.32605 + 98 2.806142 21.71626 + 99 2.815129 21.12313 +100 2.824117 20.54620 +101 2.833110 19.98502 +102 2.842110 19.43917 +103 2.851119 18.90823 +104 2.860139 18.39179 +105 2.869171 17.88946 +106 2.878218 17.40085 +107 2.887281 16.92558 +108 2.896361 16.46329 +109 2.905459 16.01363 +110 2.914579 15.57626 +111 2.923720 15.15082 +112 2.932886 14.73701 +113 2.942077 14.33450 +114 2.951295 13.94298 +115 2.960544 13.56216 +116 2.969824 13.19174 +117 2.979138 12.83143 +118 2.988488 12.48097 +119 2.997878 12.14008 +120 3.007311 11.80850 +121 3.016788 11.48597 +122 3.026314 11.17226 +123 3.035891 10.86711 +124 3.045522 10.57030 +125 3.055212 10.28159 +126 3.064964 10.00077 +127 3.074781 9.727624 +128 3.084665 9.461935 +129 3.094618 9.203502 +130 3.104643 8.952128 +131 3.114742 8.707619 +132 3.124920 8.469789 +133 3.135180 8.238455 +134 3.145525 8.013439 +135 3.155959 7.794568 +136 3.166484 7.581676 +137 3.177102 7.374599 +138 3.187813 7.173177 +139 3.198620 6.977257 +140 3.209523 6.786688 +141 3.220523 6.601324 +142 3.231622 6.421023 +143 3.242822 6.245646 +144 3.254129 6.075059 +145 3.265545 5.909132 +146 3.277075 5.747736 +147 3.288724 5.590749 +148 3.300497 5.438050 +149 3.312397 5.289521 +150 3.324427 5.145049 +151 3.336590 5.004522 +152 3.348889 4.867834 +153 3.361329 4.734880 +154 3.373911 4.605557 +155 3.386639 4.479766 +156 3.399516 4.357410 +157 3.412545 4.238397 +158 3.425730 4.122634 +159 3.439074 4.010033 +160 3.452584 3.900507 +161 3.466264 3.793973 +162 3.480120 3.690349 +163 3.494156 3.589555 +164 3.508381 3.491514 +165 3.522798 3.396150 +166 3.537416 3.303392 +167 3.552240 3.213166 +168 3.567277 3.125406 +169 3.582534 3.040042 +170 3.598016 2.957009 +171 3.613729 2.876245 +172 3.629679 2.797686 +173 3.645872 2.721273 +174 3.662313 2.646948 +175 3.679009 2.574652 +176 3.695966 2.504331 +177 3.713188 2.435930 +178 3.730682 2.369398 +179 3.748450 2.304683 +180 3.766493 2.241735 +181 3.784809 2.180507 +182 3.803400 2.120951 +183 3.822270 2.063022 +184 3.841422 2.006675 +185 3.860861 1.951866 +186 3.880608 1.898555 +187 3.900697 1.846700 +188 3.921159 1.796262 +189 3.942012 1.747201 +190 3.963250 1.699479 +191 3.984864 1.653062 +192 4.006851 1.607912 +193 4.029226 1.563995 +194 4.052005 1.521278 +195 4.075207 1.479727 +196 4.098850 1.439312 +197 4.122955 1.400000 +198 4.265975 1.200000 +199 4.444104 1.000000 diff --git a/2022-02-21/X174785.340 b/2022-02-21/X174785.340 new file mode 100644 index 0000000..a36a18f --- /dev/null +++ b/2022-02-21/X174785.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU 2022-02-21 +Serial Number: X174785 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.781127 330.0000 + 2 1.803503 310.0000 + 3 1.813525 301.5330 + 4 1.823588 293.2973 + 5 1.833695 285.2865 + 6 1.843841 277.4945 + 7 1.854020 269.9153 + 8 1.864226 262.5431 + 9 1.874455 255.3723 + 10 1.884699 248.3974 + 11 1.894955 241.6129 + 12 1.905218 235.0138 + 13 1.915487 228.5949 + 14 1.925758 222.3513 + 15 1.936029 216.2782 + 16 1.946296 210.3710 + 17 1.956558 204.6252 + 18 1.966811 199.0363 + 19 1.977051 193.6000 + 20 1.987278 188.3123 + 21 1.997486 183.1689 + 22 2.007675 178.1660 + 23 2.017840 173.2998 + 24 2.027980 168.5665 + 25 2.038091 163.9624 + 26 2.048171 159.4842 + 27 2.058217 155.1282 + 28 2.068227 150.8912 + 29 2.078198 146.7699 + 30 2.088130 142.7612 + 31 2.098023 138.8620 + 32 2.107875 135.0693 + 33 2.117688 131.3801 + 34 2.127461 127.7918 + 35 2.137193 124.3014 + 36 2.146886 120.9064 + 37 2.156537 117.6041 + 38 2.166148 114.3920 + 39 2.175719 111.2676 + 40 2.185256 108.2285 + 41 2.194765 105.2725 + 42 2.204251 102.3972 + 43 2.213713 99.60045 + 44 2.223145 96.88007 + 45 2.232537 94.23400 + 46 2.241887 91.66019 + 47 2.251196 89.15669 + 48 2.260468 86.72156 + 49 2.269704 84.35294 + 50 2.278907 82.04902 + 51 2.288081 79.80803 + 52 2.297226 77.62824 + 53 2.306345 75.50799 + 54 2.315438 73.44565 + 55 2.324508 71.43963 + 56 2.333553 69.48841 + 57 2.342575 67.59048 + 58 2.351574 65.74439 + 59 2.360550 63.94872 + 60 2.369504 62.20210 + 61 2.378437 60.50318 + 62 2.387349 58.85066 + 63 2.396240 57.24328 + 64 2.405111 55.67980 + 65 2.413962 54.15902 + 66 2.422793 52.67978 + 67 2.431605 51.24095 + 68 2.440398 49.84141 + 69 2.449170 48.48010 + 70 2.457922 47.15596 + 71 2.466654 45.86800 + 72 2.475366 44.61521 + 73 2.484057 43.39664 + 74 2.492728 42.21135 + 75 2.501379 41.05844 + 76 2.510009 39.93701 + 77 2.518618 38.84622 + 78 2.527206 37.78522 + 79 2.535773 36.75319 + 80 2.544321 35.74936 + 81 2.552851 34.77294 + 82 2.561363 33.82319 + 83 2.569860 32.89938 + 84 2.578342 32.00080 + 85 2.586811 31.12677 + 86 2.595267 30.27661 + 87 2.603710 29.44966 + 88 2.612138 28.64531 + 89 2.620552 27.86292 + 90 2.628950 27.10191 + 91 2.637331 26.36167 + 92 2.645695 25.64166 + 93 2.654043 24.94131 + 94 2.662377 24.26009 + 95 2.670698 23.59748 + 96 2.679010 22.95297 + 97 2.687315 22.32605 + 98 2.695618 21.71626 + 99 2.703919 21.12313 +100 2.712219 20.54620 +101 2.720514 19.98502 +102 2.728804 19.43917 +103 2.737090 18.90823 +104 2.745375 18.39179 +105 2.753661 17.88946 +106 2.761950 17.40085 +107 2.770245 16.92558 +108 2.778549 16.46329 +109 2.786863 16.01363 +110 2.795190 15.57626 +111 2.803533 15.15082 +112 2.811894 14.73701 +113 2.820276 14.33450 +114 2.828681 13.94298 +115 2.837113 13.56216 +116 2.845572 13.19174 +117 2.854060 12.83143 +118 2.862578 12.48097 +119 2.871128 12.14008 +120 2.879710 11.80850 +121 2.888327 11.48597 +122 2.896978 11.17226 +123 2.905668 10.86711 +124 2.914399 10.57030 +125 2.923174 10.28159 +126 2.931996 10.00077 +127 2.940872 9.727624 +128 2.949806 9.461935 +129 2.958801 9.203502 +130 2.967858 8.952128 +131 2.976978 8.707619 +132 2.986164 8.469789 +133 2.995417 8.238455 +134 3.004738 8.013439 +135 3.014128 7.794568 +136 3.023590 7.581676 +137 3.033126 7.374599 +138 3.042737 7.173177 +139 3.052425 6.977257 +140 3.062192 6.786688 +141 3.072040 6.601324 +142 3.081972 6.421023 +143 3.091990 6.245646 +144 3.102098 6.075059 +145 3.112299 5.909132 +146 3.122599 5.747736 +147 3.133002 5.590749 +148 3.143511 5.438050 +149 3.154131 5.289521 +150 3.164865 5.145049 +151 3.175716 5.004522 +152 3.186686 4.867834 +153 3.197776 4.734880 +154 3.208986 4.605557 +155 3.220316 4.479766 +156 3.231766 4.357410 +157 3.243334 4.238397 +158 3.255019 4.122634 +159 3.266825 4.010033 +160 3.278757 3.900507 +161 3.290822 3.793973 +162 3.303027 3.690349 +163 3.315379 3.589555 +164 3.327888 3.491514 +165 3.340560 3.396150 +166 3.353402 3.303392 +167 3.366419 3.213166 +168 3.379616 3.125406 +169 3.392997 3.040042 +170 3.406565 2.957009 +171 3.420325 2.876245 +172 3.434279 2.797686 +173 3.448433 2.721273 +174 3.462789 2.646948 +175 3.477351 2.574652 +176 3.492121 2.504331 +177 3.507102 2.435930 +178 3.522298 2.369398 +179 3.537711 2.304683 +180 3.553345 2.241735 +181 3.569203 2.180507 +182 3.585292 2.120951 +183 3.601621 2.063022 +184 3.618197 2.006675 +185 3.635033 1.951866 +186 3.652135 1.898555 +187 3.669513 1.846700 +188 3.687175 1.796262 +189 3.705129 1.747201 +190 3.723384 1.699479 +191 3.741950 1.653062 +192 3.760834 1.607912 +193 3.780044 1.563995 +194 3.799586 1.521278 +195 3.819464 1.479727 +196 3.839685 1.439312 +197 3.860284 1.400000 +198 3.983588 1.200000 +199 4.137217 1.000000 diff --git a/2022-02-21/X174786.340 b/2022-02-21/X174786.340 new file mode 100644 index 0000000..bfe55b9 --- /dev/null +++ b/2022-02-21/X174786.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU 2022-02-21 +Serial Number: X174786 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.845815 330.0000 + 2 1.870134 310.0000 + 3 1.881025 301.5330 + 4 1.891958 293.2973 + 5 1.902934 285.2865 + 6 1.913949 277.4945 + 7 1.924998 269.9153 + 8 1.936073 262.5431 + 9 1.947171 255.3723 + 10 1.958283 248.3974 + 11 1.969406 241.6129 + 12 1.980537 235.0138 + 13 1.991673 228.5949 + 14 2.002811 222.3513 + 15 2.013948 216.2782 + 16 2.025083 210.3710 + 17 2.036211 204.6252 + 18 2.047331 199.0363 + 19 2.058440 193.6000 + 20 2.069535 188.3123 + 21 2.080614 183.1689 + 22 2.091673 178.1660 + 23 2.102710 173.2998 + 24 2.113722 168.5665 + 25 2.124707 163.9624 + 26 2.135663 159.4842 + 27 2.146588 155.1282 + 28 2.157480 150.8912 + 29 2.168337 146.7699 + 30 2.179159 142.7612 + 31 2.189947 138.8620 + 32 2.200702 135.0693 + 33 2.211420 131.3801 + 34 2.222094 127.7918 + 35 2.232718 124.3014 + 36 2.243290 120.9064 + 37 2.253817 117.6041 + 38 2.264303 114.3920 + 39 2.274755 111.2676 + 40 2.285172 108.2285 + 41 2.295555 105.2725 + 42 2.305904 102.3972 + 43 2.316219 99.60045 + 44 2.326499 96.88007 + 45 2.336746 94.23400 + 46 2.346960 91.66019 + 47 2.357144 89.15669 + 48 2.367297 86.72156 + 49 2.377421 84.35294 + 50 2.387517 82.04902 + 51 2.397585 79.80803 + 52 2.407626 77.62824 + 53 2.417643 75.50799 + 54 2.427635 73.44565 + 55 2.437604 71.43963 + 56 2.447551 69.48841 + 57 2.457475 67.59048 + 58 2.467379 65.74439 + 59 2.477261 63.94872 + 60 2.487124 62.20210 + 61 2.496967 60.50318 + 62 2.506792 58.85066 + 63 2.516598 57.24328 + 64 2.526386 55.67980 + 65 2.536157 54.15902 + 66 2.545911 52.67978 + 67 2.555648 51.24095 + 68 2.565369 49.84141 + 69 2.575072 48.48010 + 70 2.584759 47.15596 + 71 2.594428 45.86800 + 72 2.604081 44.61521 + 73 2.613717 43.39664 + 74 2.623336 42.21135 + 75 2.632937 41.05844 + 76 2.642522 39.93701 + 77 2.652090 38.84622 + 78 2.661641 37.78522 + 79 2.671175 36.75319 + 80 2.680698 35.74936 + 81 2.690213 34.77294 + 82 2.699724 33.82319 + 83 2.709229 32.89938 + 84 2.718724 32.00080 + 85 2.728206 31.12677 + 86 2.737674 30.27661 + 87 2.747127 29.44966 + 88 2.756567 28.64531 + 89 2.765994 27.86292 + 90 2.775408 27.10191 + 91 2.784810 26.36167 + 92 2.794200 25.64166 + 93 2.803579 24.94131 + 94 2.812948 24.26009 + 95 2.822307 23.59748 + 96 2.831659 22.95297 + 97 2.841005 22.32605 + 98 2.850349 21.71626 + 99 2.859693 21.12313 +100 2.869039 20.54620 +101 2.878389 19.98502 +102 2.887747 19.43917 +103 2.897114 18.90823 +104 2.906491 18.39179 +105 2.915882 17.88946 +106 2.925289 17.40085 +107 2.934712 16.92558 +108 2.944155 16.46329 +109 2.953619 16.01363 +110 2.963107 15.57626 +111 2.972620 15.15082 +112 2.982161 14.73701 +113 2.991732 14.33450 +114 3.001336 13.94298 +115 3.010974 13.56216 +116 3.020649 13.19174 +117 3.030363 12.83143 +118 3.040118 12.48097 +119 3.049915 12.14008 +120 3.059758 11.80850 +121 3.069648 11.48597 +122 3.079587 11.17226 +123 3.089578 10.86711 +124 3.099623 10.57030 +125 3.109722 10.28159 +126 3.119884 10.00077 +127 3.130117 9.727624 +128 3.140431 9.461935 +129 3.150832 9.203502 +130 3.161325 8.952128 +131 3.171910 8.707619 +132 3.182589 8.469789 +133 3.193360 8.238455 +134 3.204218 8.013439 +135 3.215157 7.794568 +136 3.226179 7.581676 +137 3.237287 7.374599 +138 3.248487 7.173177 +139 3.259782 6.977257 +140 3.271177 6.786688 +141 3.282677 6.601324 +142 3.294287 6.421023 +143 3.306011 6.245646 +144 3.317852 6.075059 +145 3.329815 5.909132 +146 3.341905 5.747736 +147 3.354127 5.590749 +148 3.366486 5.438050 +149 3.378985 5.289521 +150 3.391629 5.145049 +151 3.404420 5.004522 +152 3.417362 4.867834 +153 3.430457 4.734880 +154 3.443707 4.605557 +155 3.457115 4.479766 +156 3.470681 4.357410 +157 3.484410 4.238397 +158 3.498301 4.122634 +159 3.512360 4.010033 +160 3.526593 3.900507 +161 3.541008 3.793973 +162 3.555612 3.690349 +163 3.570413 3.589555 +164 3.585420 3.491514 +165 3.600641 3.396150 +166 3.616084 3.303392 +167 3.631755 3.213166 +168 3.647661 3.125406 +169 3.663808 3.040042 +170 3.680200 2.957009 +171 3.696844 2.876245 +172 3.713745 2.797686 +173 3.730907 2.721273 +174 3.748337 2.646948 +175 3.766039 2.574652 +176 3.784018 2.504331 +177 3.802278 2.435930 +178 3.820824 2.369398 +179 3.839659 2.304683 +180 3.858788 2.241735 +181 3.878215 2.180507 +182 3.897945 2.120951 +183 3.917990 2.063022 +184 3.938359 2.006675 +185 3.959063 1.951866 +186 3.980115 1.898555 +187 4.001528 1.846700 +188 4.023315 1.796262 +189 4.045491 1.747201 +190 4.068070 1.699479 +191 4.091069 1.653062 +192 4.114500 1.607912 +193 4.138374 1.563995 +194 4.162698 1.521278 +195 4.187481 1.479727 +196 4.212728 1.439312 +197 4.238447 1.400000 +198 4.390826 1.200000 +199 4.580600 1.000000 diff --git a/2022-02-21/X174787.340 b/2022-02-21/X174787.340 new file mode 100644 index 0000000..5adc1d2 --- /dev/null +++ b/2022-02-21/X174787.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU 2022-02-21 +Serial Number: X174787 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.869691 330.0000 + 2 1.894626 310.0000 + 3 1.905774 301.5330 + 4 1.916984 293.2973 + 5 1.928241 285.2865 + 6 1.939538 277.4945 + 7 1.950871 269.9153 + 8 1.962233 262.5431 + 9 1.973618 255.3723 + 10 1.985020 248.3974 + 11 1.996433 241.6129 + 12 2.007855 235.0138 + 13 2.019283 228.5949 + 14 2.030715 222.3513 + 15 2.042147 216.2782 + 16 2.053576 210.3710 + 17 2.065000 204.6252 + 18 2.076416 199.0363 + 19 2.087821 193.6000 + 20 2.099213 188.3123 + 21 2.110588 183.1689 + 22 2.121944 178.1660 + 23 2.133277 173.2998 + 24 2.144586 168.5665 + 25 2.155868 163.9624 + 26 2.167121 159.4842 + 27 2.178347 155.1282 + 28 2.189550 150.8912 + 29 2.200730 146.7699 + 30 2.211879 142.7612 + 31 2.222988 138.8620 + 32 2.234045 135.0693 + 33 2.245047 131.3801 + 34 2.255996 127.7918 + 35 2.266894 124.3014 + 36 2.277743 120.9064 + 37 2.288549 117.6041 + 38 2.299319 114.3920 + 39 2.310055 111.2676 + 40 2.320760 108.2285 + 41 2.331432 105.2725 + 42 2.342071 102.3972 + 43 2.352677 99.60045 + 44 2.363250 96.88007 + 45 2.373790 94.23400 + 46 2.384299 91.66019 + 47 2.394776 89.15669 + 48 2.405222 86.72156 + 49 2.415639 84.35294 + 50 2.426026 82.04902 + 51 2.436385 79.80803 + 52 2.446716 77.62824 + 53 2.457021 75.50799 + 54 2.467300 73.44565 + 55 2.477554 71.43963 + 56 2.487785 69.48841 + 57 2.497992 67.59048 + 58 2.508176 65.74439 + 59 2.518338 63.94872 + 60 2.528479 62.20210 + 61 2.538598 60.50318 + 62 2.548697 58.85066 + 63 2.558777 57.24328 + 64 2.568837 55.67980 + 65 2.578878 54.15902 + 66 2.588901 52.67978 + 67 2.598908 51.24095 + 68 2.608899 49.84141 + 69 2.618875 48.48010 + 70 2.628838 47.15596 + 71 2.638789 45.86800 + 72 2.648728 44.61521 + 73 2.658655 43.39664 + 74 2.668568 42.21135 + 75 2.678464 41.05844 + 76 2.688342 39.93701 + 77 2.698200 38.84622 + 78 2.708037 37.78522 + 79 2.717851 36.75319 + 80 2.727645 35.74936 + 81 2.737422 34.77294 + 82 2.747182 33.82319 + 83 2.756930 32.89938 + 84 2.766668 32.00080 + 85 2.776398 31.12677 + 86 2.786121 30.27661 + 87 2.795837 29.44966 + 88 2.805545 28.64531 + 89 2.815243 27.86292 + 90 2.824932 27.10191 + 91 2.834609 26.36167 + 92 2.844274 25.64166 + 93 2.853927 24.94131 + 94 2.863570 24.26009 + 95 2.873203 23.59748 + 96 2.882828 22.95297 + 97 2.892449 22.32605 + 98 2.902068 21.71626 + 99 2.911687 21.12313 +100 2.921310 20.54620 +101 2.930939 19.98502 +102 2.940576 19.43917 +103 2.950224 18.90823 +104 2.959885 18.39179 +105 2.969560 17.88946 +106 2.979252 17.40085 +107 2.988963 16.92558 +108 2.998693 16.46329 +109 3.008446 16.01363 +110 3.018223 15.57626 +111 3.028026 15.15082 +112 3.037858 14.73701 +113 3.047720 14.33450 +114 3.057615 13.94298 +115 3.067545 13.56216 +116 3.077512 13.19174 +117 3.087520 12.83143 +118 3.097571 12.48097 +119 3.107669 12.14008 +120 3.117816 11.80850 +121 3.128016 11.48597 +122 3.138272 11.17226 +123 3.148584 10.86711 +124 3.158952 10.57030 +125 3.169378 10.28159 +126 3.179869 10.00077 +127 3.190439 9.727624 +128 3.201102 9.461935 +129 3.211865 9.203502 +130 3.222721 8.952128 +131 3.233664 8.707619 +132 3.244686 8.469789 +133 3.255789 8.238455 +134 3.266974 8.013439 +135 3.278245 7.794568 +136 3.289605 7.581676 +137 3.301058 7.374599 +138 3.312611 7.173177 +139 3.324267 6.977257 +140 3.336033 6.786688 +141 3.347912 6.601324 +142 3.359910 6.421023 +143 3.372032 6.245646 +144 3.384280 6.075059 +145 3.396658 5.909132 +146 3.409171 5.747736 +147 3.421823 5.590749 +148 3.434619 5.438050 +149 3.447561 5.289521 +150 3.460652 5.145049 +151 3.473894 5.004522 +152 3.487292 4.867834 +153 3.500847 4.734880 +154 3.514563 4.605557 +155 3.528446 4.479766 +156 3.542497 4.357410 +157 3.556722 4.238397 +158 3.571125 4.122634 +159 3.585710 4.010033 +160 3.600485 3.900507 +161 3.615454 3.793973 +162 3.630625 3.690349 +163 3.646004 3.589555 +164 3.661599 3.491514 +165 3.677418 3.396150 +166 3.693466 3.303392 +167 3.709752 3.213166 +168 3.726282 3.125406 +169 3.743064 3.040042 +170 3.760102 2.957009 +171 3.777404 2.876245 +172 3.794975 2.797686 +173 3.812821 2.721273 +174 3.830949 2.646948 +175 3.849363 2.574652 +176 3.868070 2.504331 +177 3.887075 2.435930 +178 3.906383 2.369398 +179 3.925999 2.304683 +180 3.945929 2.241735 +181 3.966176 2.180507 +182 3.986747 2.120951 +183 4.007655 2.063022 +184 4.028909 2.006675 +185 4.050523 1.951866 +186 4.072508 1.898555 +187 4.094879 1.846700 +188 4.117648 1.796262 +189 4.140830 1.747201 +190 4.164438 1.699479 +191 4.188489 1.653062 +192 4.212995 1.607912 +193 4.237968 1.563995 +194 4.263417 1.521278 +195 4.289352 1.479727 +196 4.315780 1.439312 +197 4.342710 1.400000 +198 4.502302 1.200000 +199 4.701090 1.000000 diff --git a/2022-03-08/X161269.340 b/2022-03-08/X161269.340 new file mode 100644 index 0000000..17509f2 --- /dev/null +++ b/2022-03-08/X161269.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU 2022-03-08 +Serial Number: X161269 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.792015 330.0000 + 2 1.814200 310.0000 + 3 1.824120 301.5330 + 4 1.834098 293.2973 + 5 1.844121 285.2865 + 6 1.854183 277.4945 + 7 1.864281 269.9153 + 8 1.874408 262.5431 + 9 1.884559 255.3723 + 10 1.894728 248.3974 + 11 1.904911 241.6129 + 12 1.915106 235.0138 + 13 1.925308 228.5949 + 14 1.935517 222.3513 + 15 1.945728 216.2782 + 16 1.955941 210.3710 + 17 1.966152 204.6252 + 18 1.976358 199.0363 + 19 1.986557 193.6000 + 20 1.996746 188.3123 + 21 2.006924 183.1689 + 22 2.017086 178.1660 + 23 2.027230 173.2998 + 24 2.037355 168.5665 + 25 2.047457 163.9624 + 26 2.057534 159.4842 + 27 2.067582 155.1282 + 28 2.077597 150.8912 + 29 2.087577 146.7699 + 30 2.097519 142.7612 + 31 2.107422 138.8620 + 32 2.117286 135.0693 + 33 2.127110 131.3801 + 34 2.136897 127.7918 + 35 2.146650 124.3014 + 36 2.156369 120.9064 + 37 2.166058 117.6041 + 38 2.175719 114.3920 + 39 2.185351 111.2676 + 40 2.194953 108.2285 + 41 2.204521 105.2725 + 42 2.214051 102.3972 + 43 2.223542 99.60045 + 44 2.232992 96.88007 + 45 2.242404 94.23400 + 46 2.251778 91.66019 + 47 2.261115 89.15669 + 48 2.270417 86.72156 + 49 2.279684 84.35294 + 50 2.288919 82.04902 + 51 2.298121 79.80803 + 52 2.307292 77.62824 + 53 2.316433 75.50799 + 54 2.325544 73.44565 + 55 2.334625 71.43963 + 56 2.343676 69.48841 + 57 2.352696 67.59048 + 58 2.361687 65.74439 + 59 2.370646 63.94872 + 60 2.379575 62.20210 + 61 2.388473 60.50318 + 62 2.397340 58.85066 + 63 2.406175 57.24328 + 64 2.414979 55.67980 + 65 2.423751 54.15902 + 66 2.432492 52.67978 + 67 2.441200 51.24095 + 68 2.449876 49.84141 + 69 2.458520 48.48010 + 70 2.467132 47.15596 + 71 2.475711 45.86800 + 72 2.484257 44.61521 + 73 2.492770 43.39664 + 74 2.501250 42.21135 + 75 2.509697 41.05844 + 76 2.518111 39.93701 + 77 2.526491 38.84622 + 78 2.534837 37.78522 + 79 2.543151 36.75319 + 80 2.551431 35.74936 + 81 2.559681 34.77294 + 82 2.567900 33.82319 + 83 2.576090 32.89938 + 84 2.584252 32.00080 + 85 2.592387 31.12677 + 86 2.600497 30.27661 + 87 2.608583 29.44966 + 88 2.616647 28.64531 + 89 2.624690 27.86292 + 90 2.632713 27.10191 + 91 2.640717 26.36167 + 92 2.648705 25.64166 + 93 2.656677 24.94131 + 94 2.664633 24.26009 + 95 2.672576 23.59748 + 96 2.680508 22.95297 + 97 2.688431 22.32605 + 98 2.696349 21.71626 + 99 2.704262 21.12313 +100 2.712175 20.54620 +101 2.720090 19.98502 +102 2.728009 19.43917 +103 2.735936 18.90823 +104 2.743872 18.39179 +105 2.751821 17.88946 +106 2.759787 17.40085 +107 2.767771 16.92558 +108 2.775776 16.46329 +109 2.783806 16.01363 +110 2.791864 15.57626 +111 2.799953 15.15082 +112 2.808075 14.73701 +113 2.816234 14.33450 +114 2.824434 13.94298 +115 2.832677 13.56216 +116 2.840967 13.19174 +117 2.849307 12.83143 +118 2.857699 12.48097 +119 2.866148 12.14008 +120 2.874656 11.80850 +121 2.883227 11.48597 +122 2.891864 11.17226 +123 2.900571 10.86711 +124 2.909353 10.57030 +125 2.918214 10.28159 +126 2.927158 10.00077 +127 2.936189 9.727624 +128 2.945311 9.461935 +129 2.954525 9.203502 +130 2.963834 8.952128 +131 2.973241 8.707619 +132 2.982748 8.469789 +133 2.992357 8.238455 +134 3.002073 8.013439 +135 3.011896 7.794568 +136 3.021831 7.581676 +137 3.031881 7.374599 +138 3.042050 7.173177 +139 3.052340 6.977257 +140 3.062756 6.786688 +141 3.073301 6.601324 +142 3.083979 6.421023 +143 3.094793 6.245646 +144 3.105749 6.075059 +145 3.116849 5.909132 +146 3.128100 5.747736 +147 3.139506 5.590749 +148 3.151071 5.438050 +149 3.162800 5.289521 +150 3.174697 5.145049 +151 3.186764 5.004522 +152 3.199005 4.867834 +153 3.211421 4.734880 +154 3.224014 4.605557 +155 3.236785 4.479766 +156 3.249735 4.357410 +157 3.262865 4.238397 +158 3.276175 4.122634 +159 3.289669 4.010033 +160 3.303354 3.900507 +161 3.317237 3.793973 +162 3.331328 3.690349 +163 3.345634 3.589555 +164 3.360165 3.491514 +165 3.374930 3.396150 +166 3.389935 3.303392 +167 3.405189 3.213166 +168 3.420696 3.125406 +169 3.436463 3.040042 +170 3.452494 2.957009 +171 3.468794 2.876245 +172 3.485370 2.797686 +173 3.502224 2.721273 +174 3.519362 2.646948 +175 3.536789 2.574652 +176 3.554506 2.504331 +177 3.572519 2.435930 +178 3.590831 2.369398 +179 3.609449 2.304683 +180 3.628394 2.241735 +181 3.647685 2.180507 +182 3.667339 2.120951 +183 3.687344 2.063022 +184 3.707680 2.006675 +185 3.728330 1.951866 +186 3.749309 1.898555 +187 3.770656 1.846700 +188 3.792413 1.796262 +189 3.814603 1.747201 +190 3.837225 1.699479 +191 3.860277 1.653062 +192 3.883760 1.607912 +193 3.907691 1.563995 +194 3.932093 1.521278 +195 3.956989 1.479727 +196 3.982403 1.439312 +197 4.008378 1.400000 +198 4.162315 1.200000 +199 4.354044 1.000000 diff --git a/2022-03-08/X163062.340 b/2022-03-08/X163062.340 new file mode 100644 index 0000000..4ca987d --- /dev/null +++ b/2022-03-08/X163062.340 @@ -0,0 +1,208 @@ +Sensor Model: CX-1050-CU 2022-03-08 +Serial Number: X163062 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.797806 330.0000 + 2 1.820708 310.0000 + 3 1.830958 301.5330 + 4 1.841251 293.2973 + 5 1.851585 285.2865 + 6 1.861956 277.4945 + 7 1.872357 269.9153 + 8 1.882783 262.5431 + 9 1.893229 255.3723 + 10 1.903690 248.3974 + 11 1.914160 241.6129 + 12 1.924636 235.0138 + 13 1.935117 228.5949 + 14 1.945600 222.3513 + 15 1.956082 216.2782 + 16 1.966561 210.3710 + 17 1.977034 204.6252 + 18 1.987499 199.0363 + 19 1.997953 193.6000 + 20 2.008393 188.3123 + 21 2.018818 183.1689 + 22 2.029224 178.1660 + 23 2.039610 173.2998 + 24 2.049972 168.5665 + 25 2.060308 163.9624 + 26 2.070617 159.4842 + 27 2.080893 155.1282 + 28 2.091136 150.8912 + 29 2.101342 146.7699 + 30 2.111510 142.7612 + 31 2.121640 138.8620 + 32 2.131730 135.0693 + 33 2.141778 131.3801 + 34 2.151779 127.7918 + 35 2.161729 124.3014 + 36 2.171632 120.9064 + 37 2.181502 117.6041 + 38 2.191354 114.3920 + 39 2.201197 111.2676 + 40 2.211021 108.2285 + 41 2.220813 105.2725 + 42 2.230559 102.3972 + 43 2.240254 99.60045 + 44 2.249900 96.88007 + 45 2.259503 94.23400 + 46 2.269066 91.66019 + 47 2.278592 89.15669 + 48 2.288080 86.72156 + 49 2.297533 84.35294 + 50 2.306951 82.04902 + 51 2.316336 79.80803 + 52 2.325689 77.62824 + 53 2.335011 75.50799 + 54 2.344302 73.44565 + 55 2.353562 71.43963 + 56 2.362790 69.48841 + 57 2.371988 67.59048 + 58 2.381155 65.74439 + 59 2.390290 63.94872 + 60 2.399393 62.20210 + 61 2.408465 60.50318 + 62 2.417504 58.85066 + 63 2.426512 57.24328 + 64 2.435487 55.67980 + 65 2.444430 54.15902 + 66 2.453341 52.67978 + 67 2.462219 51.24095 + 68 2.471064 49.84141 + 69 2.479876 48.48010 + 70 2.488655 47.15596 + 71 2.497400 45.86800 + 72 2.506113 44.61521 + 73 2.514792 43.39664 + 74 2.523437 42.21135 + 75 2.532049 41.05844 + 76 2.540627 39.93701 + 77 2.549171 38.84622 + 78 2.557681 37.78522 + 79 2.566158 36.75319 + 80 2.574601 35.74936 + 81 2.583014 34.77294 + 82 2.591396 33.82319 + 83 2.599749 32.89938 + 84 2.608075 32.00080 + 85 2.616375 31.12677 + 86 2.624650 30.27661 + 87 2.632903 29.44966 + 88 2.641135 28.64531 + 89 2.649347 27.86292 + 90 2.657541 27.10191 + 91 2.665718 26.36167 + 92 2.673880 25.64166 + 93 2.682028 24.94131 + 94 2.690162 24.26009 + 95 2.698283 23.59748 + 96 2.706393 22.95297 + 97 2.714494 22.32605 + 98 2.722589 21.71626 + 99 2.730680 21.12313 +100 2.738768 20.54620 +101 2.746857 19.98502 +102 2.754948 19.43917 +103 2.763044 18.90823 +104 2.771149 18.39179 +105 2.779267 17.88946 +106 2.787401 17.40085 +107 2.795555 16.92558 +108 2.803731 16.46329 +109 2.811935 16.01363 +110 2.820168 15.57626 +111 2.828435 15.15082 +112 2.836741 14.73701 +113 2.845087 14.33450 +114 2.853480 13.94298 +115 2.861922 13.56216 +116 2.870417 13.19174 +117 2.878965 12.83143 +118 2.887568 12.48097 +119 2.896227 12.14008 +120 2.904945 11.80850 +121 2.913723 11.48597 +122 2.922564 11.17226 +123 2.931472 10.86711 +124 2.940454 10.57030 +125 2.949515 10.28159 +126 2.958662 10.00077 +127 2.967900 9.727624 +128 2.977234 9.461935 +129 2.986668 9.203502 +130 2.996203 8.952128 +131 3.005843 8.707619 +132 3.015589 8.469789 +133 3.025443 8.238455 +134 3.035407 8.013439 +135 3.045485 7.794568 +136 3.055678 7.581676 +137 3.065990 7.374599 +138 3.076424 7.173177 +139 3.086982 6.977257 +140 3.097667 6.786688 +141 3.108483 6.601324 +142 3.119433 6.421023 +143 3.130521 6.245646 +144 3.141754 6.075059 +145 3.153137 5.909132 +146 3.164678 5.747736 +147 3.176383 5.590749 +148 3.188260 5.438050 +149 3.200311 5.289521 +150 3.212534 5.145049 +151 3.224928 5.004522 +152 3.237491 4.867834 +153 3.250226 4.734880 +154 3.263136 4.605557 +155 3.276226 4.479766 +156 3.289499 4.357410 +157 3.302960 4.238397 +158 3.316613 4.122634 +159 3.330463 4.010033 +160 3.344516 3.900507 +161 3.358779 3.793973 +162 3.373258 3.690349 +163 3.387959 3.589555 +164 3.402890 3.491514 +165 3.418058 3.396150 +166 3.433471 3.303392 +167 3.449135 3.213166 +168 3.465058 3.125406 +169 3.481246 3.040042 +170 3.497707 2.957009 +171 3.514445 2.876245 +172 3.531467 2.797686 +173 3.548780 2.721273 +174 3.566389 2.646948 +175 3.584300 2.574652 +176 3.602519 2.504331 +177 3.621052 2.435930 +178 3.639902 2.369398 +179 3.659075 2.304683 +180 3.678575 2.241735 +181 3.698406 2.180507 +182 3.718574 2.120951 +183 3.739088 2.063022 +184 3.759959 2.006675 +185 3.781196 1.951866 +186 3.802812 1.898555 +187 3.824818 1.846700 +188 3.847226 1.796262 +189 3.870049 1.747201 +190 3.893301 1.699479 +191 3.916994 1.653062 +192 3.941142 1.607912 +193 3.965764 1.563995 +194 3.990880 1.521278 +195 4.016507 1.479727 +196 4.042668 1.439312 +197 4.069419 1.400000 +198 4.227846 1.200000 +199 4.425169 1.000000 diff --git a/2023-06-16/X200037.340 b/2023-06-16/X200037.340 new file mode 100644 index 0000000..0dc44b2 --- /dev/null +++ b/2023-06-16/X200037.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1070-SD 2023-06-16 +Serial Number: X200037 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.73038,298.064 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.878477 330.0000 + 2 1.905180 310.0000 + 3 1.916577 301.9219 + 4 1.928026 294.0542 + 5 1.939547 286.3916 + 6 1.951123 278.9287 + 7 1.962749 271.6602 + 8 1.974420 264.5812 + 9 1.986132 257.6866 + 10 1.997877 250.9717 + 11 2.009653 244.4317 + 12 2.021455 238.0622 + 13 2.033281 231.8587 + 14 2.045130 225.8168 + 15 2.057000 219.9323 + 16 2.068887 214.2012 + 17 2.080790 208.6195 + 18 2.092706 203.1832 + 19 2.104634 197.8885 + 20 2.116570 192.7318 + 21 2.128513 187.7095 + 22 2.140461 182.8181 + 23 2.152410 178.0541 + 24 2.164359 173.4143 + 25 2.176304 168.8954 + 26 2.188245 164.4942 + 27 2.200176 160.2078 + 28 2.212093 156.0330 + 29 2.223990 151.9670 + 30 2.235863 148.0070 + 31 2.247708 144.1501 + 32 2.259523 140.3938 + 33 2.271306 136.7354 + 34 2.283058 133.1722 + 35 2.294783 129.7020 + 36 2.306482 126.3221 + 37 2.318158 123.0304 + 38 2.329814 119.8244 + 39 2.341451 116.7019 + 40 2.353072 113.6609 + 41 2.364676 110.6990 + 42 2.376261 107.8144 + 43 2.387828 105.0049 + 44 2.399374 102.2686 + 45 2.410898 99.60367 + 46 2.422402 97.00815 + 47 2.433883 94.48027 + 48 2.445344 92.01825 + 49 2.456783 89.62040 + 50 2.468201 87.28502 + 51 2.479600 85.01051 + 52 2.490981 82.79526 + 53 2.502346 80.63774 + 54 2.513695 78.53645 + 55 2.525030 76.48990 + 56 2.536353 74.49669 + 57 2.547665 72.55542 + 58 2.558967 70.66474 + 59 2.570258 68.82332 + 60 2.581540 67.02989 + 61 2.592813 65.28319 + 62 2.604078 63.58201 + 63 2.615336 61.92516 + 64 2.626586 60.31148 + 65 2.637828 58.73986 + 66 2.649064 57.20918 + 67 2.660292 55.71840 + 68 2.671513 54.26646 + 69 2.682727 52.85236 + 70 2.693933 51.47511 + 71 2.705132 50.13374 + 72 2.716323 48.82733 + 73 2.727508 47.55497 + 74 2.738685 46.31576 + 75 2.749854 45.10884 + 76 2.761016 43.93337 + 77 2.772171 42.78853 + 78 2.783319 41.67353 + 79 2.794459 40.58758 + 80 2.805592 39.52993 + 81 2.816717 38.49984 + 82 2.827835 37.49659 + 83 2.838946 36.51949 + 84 2.850049 35.56784 + 85 2.861146 34.64100 + 86 2.872238 33.73831 + 87 2.883327 32.85914 + 88 2.894413 32.00288 + 89 2.905499 31.16893 + 90 2.916586 30.35672 + 91 2.927677 29.56567 + 92 2.938770 28.79523 + 93 2.949865 28.04487 + 94 2.960963 27.31406 + 95 2.972063 26.60230 + 96 2.983164 25.90908 + 97 2.994267 25.23393 + 98 3.005371 24.57637 + 99 3.016475 23.93595 +100 3.027581 23.31221 +101 3.038690 22.70473 +102 3.049805 22.11308 +103 3.060928 21.53685 +104 3.072061 20.97563 +105 3.083206 20.42904 +106 3.094366 19.89669 +107 3.105544 19.37821 +108 3.116741 18.87324 +109 3.127960 18.38144 +110 3.139204 17.90244 +111 3.150476 17.43593 +112 3.161776 16.98158 +113 3.173108 16.53906 +114 3.184475 16.10808 +115 3.195878 15.68833 +116 3.207318 15.27951 +117 3.218797 14.88135 +118 3.230316 14.49357 +119 3.241875 14.11589 +120 3.253476 13.74805 +121 3.265119 13.38980 +122 3.276807 13.04088 +123 3.288543 12.70105 +124 3.300331 12.37008 +125 3.312172 12.04774 +126 3.324072 11.73379 +127 3.336034 11.42803 +128 3.348061 11.13023 +129 3.360158 10.84019 +130 3.372330 10.55771 +131 3.384581 10.28259 +132 3.396917 10.01465 +133 3.409342 9.753679 +134 3.421859 9.499513 +135 3.434470 9.251970 +136 3.447178 9.010877 +137 3.459984 8.776067 +138 3.472892 8.547376 +139 3.485904 8.324645 +140 3.499022 8.107717 +141 3.512248 7.896442 +142 3.525587 7.690673 +143 3.539042 7.490265 +144 3.552616 7.295080 +145 3.566313 7.104982 +146 3.580136 6.919836 +147 3.594091 6.739516 +148 3.608180 6.563894 +149 3.622408 6.392849 +150 3.636779 6.226261 +151 3.651296 6.064014 +152 3.665966 5.905995 +153 3.680793 5.752094 +154 3.695784 5.602203 +155 3.710942 5.456218 +156 3.726273 5.314037 +157 3.741780 5.175561 +158 3.757467 5.040694 +159 3.773338 4.909341 +160 3.789396 4.781411 +161 3.805645 4.656815 +162 3.822089 4.535465 +163 3.838732 4.417278 +164 3.855577 4.302170 +165 3.872620 4.190062 +166 3.889848 4.080876 +167 3.907247 3.974534 +168 3.924812 3.870964 +169 3.942571 3.770092 +170 3.960566 3.671849 +171 3.978839 3.576166 +172 3.997437 3.482977 +173 4.016380 3.392216 +174 4.035644 3.303820 +175 4.055203 3.217727 +176 4.075041 3.133878 +177 4.095167 3.052214 +178 4.115588 2.972678 +179 4.136312 2.895214 +180 4.157348 2.819770 +181 4.178704 2.746291 +182 4.200391 2.674726 +183 4.222424 2.605027 +184 4.244818 2.537144 +185 4.267575 2.471030 +186 4.290674 2.406639 +187 4.314094 2.343925 +188 4.337825 2.282846 +189 4.361887 2.223359 +190 4.386300 2.165421 +191 4.411093 2.108994 +192 4.436295 2.054036 +193 4.461942 2.000511 +194 4.488068 1.948381 +195 4.514715 1.897609 +196 4.541878 1.848160 +197 4.569345 1.800000 +198 4.693054 1.600000 +199 4.844485 1.400000 diff --git a/2023-06-16/X200038.340 b/2023-06-16/X200038.340 new file mode 100644 index 0000000..faa8878 --- /dev/null +++ b/2023-06-16/X200038.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1070-SD 2023-06-16 +Serial Number: X200038 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.73174,297.864 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.887027 330.0000 + 2 1.913977 310.0000 + 3 1.925479 301.9219 + 4 1.937054 294.0542 + 5 1.948683 286.3916 + 6 1.960368 278.9287 + 7 1.972104 271.6602 + 8 1.983887 264.5812 + 9 1.995711 257.6866 + 10 2.007570 250.9717 + 11 2.019461 244.4317 + 12 2.031379 238.0622 + 13 2.043323 231.8587 + 14 2.055291 225.8168 + 15 2.067279 219.9323 + 16 2.079287 214.2012 + 17 2.091311 208.6195 + 18 2.103350 203.1832 + 19 2.115401 197.8885 + 20 2.127462 192.7318 + 21 2.139530 187.7095 + 22 2.151603 182.8181 + 23 2.163679 178.0541 + 24 2.175756 173.4143 + 25 2.187830 168.8954 + 26 2.199899 164.4942 + 27 2.211961 160.2078 + 28 2.224008 156.0330 + 29 2.236038 151.9670 + 30 2.248044 148.0070 + 31 2.260024 144.1501 + 32 2.271976 140.3938 + 33 2.283898 136.7354 + 34 2.295790 133.1722 + 35 2.307656 129.7020 + 36 2.319497 126.3221 + 37 2.331315 123.0304 + 38 2.343113 119.8244 + 39 2.354892 116.7019 + 40 2.366653 113.6609 + 41 2.378397 110.6990 + 42 2.390122 107.8144 + 43 2.401827 105.0049 + 44 2.413513 102.2686 + 45 2.425177 99.60367 + 46 2.436821 97.00815 + 47 2.448444 94.48027 + 48 2.460046 92.01825 + 49 2.471628 89.62040 + 50 2.483191 87.28502 + 51 2.494735 85.01051 + 52 2.506263 82.79526 + 53 2.517776 80.63774 + 54 2.529274 78.53645 + 55 2.540760 76.48990 + 56 2.552235 74.49669 + 57 2.563699 72.55542 + 58 2.575155 70.66474 + 59 2.586601 68.82332 + 60 2.598039 67.02989 + 61 2.609469 65.28319 + 62 2.620892 63.58201 + 63 2.632309 61.92516 + 64 2.643719 60.31148 + 65 2.655122 58.73986 + 66 2.666518 57.20918 + 67 2.677906 55.71840 + 68 2.689287 54.26646 + 69 2.700659 52.85236 + 70 2.712023 51.47511 + 71 2.723378 50.13374 + 72 2.734726 48.82733 + 73 2.746066 47.55497 + 74 2.757398 46.31576 + 75 2.768724 45.10884 + 76 2.780044 43.93337 + 77 2.791357 42.78853 + 78 2.802665 41.67353 + 79 2.813967 40.58758 + 80 2.825264 39.52993 + 81 2.836554 38.49984 + 82 2.847839 37.49659 + 83 2.859118 36.51949 + 84 2.870391 35.56784 + 85 2.881660 34.64100 + 86 2.892925 33.73831 + 87 2.904188 32.85914 + 88 2.915450 32.00288 + 89 2.926713 31.16893 + 90 2.937979 30.35672 + 91 2.949248 29.56567 + 92 2.960522 28.79523 + 93 2.971799 28.04487 + 94 2.983079 27.31406 + 95 2.994361 26.60230 + 96 3.005645 25.90908 + 97 3.016929 25.23393 + 98 3.028215 24.57637 + 99 3.039500 23.93595 +100 3.050785 23.31221 +101 3.062073 22.70473 +102 3.073366 22.11308 +103 3.084667 21.53685 +104 3.095980 20.97563 +105 3.107308 20.42904 +106 3.118655 19.89669 +107 3.130024 19.37821 +108 3.141420 18.87324 +109 3.152844 18.38144 +110 3.164300 17.90244 +111 3.175792 17.43593 +112 3.187318 16.98158 +113 3.198874 16.53906 +114 3.210455 16.10808 +115 3.222060 15.68833 +116 3.233690 15.27951 +117 3.245351 14.88135 +118 3.257049 14.49357 +119 3.268787 14.11589 +120 3.280573 13.74805 +121 3.292410 13.38980 +122 3.304303 13.04088 +123 3.316253 12.70105 +124 3.328262 12.37008 +125 3.340332 12.04774 +126 3.352464 11.73379 +127 3.364660 11.42803 +128 3.376923 11.13023 +129 3.389254 10.84019 +130 3.401656 10.55771 +131 3.414133 10.28259 +132 3.426691 10.01465 +133 3.439337 9.753679 +134 3.452079 9.499513 +135 3.464924 9.251970 +136 3.477873 9.010877 +137 3.490927 8.776067 +138 3.504087 8.547376 +139 3.517353 8.324645 +140 3.530726 8.107717 +141 3.544208 7.896442 +142 3.557801 7.690673 +143 3.571510 7.490265 +144 3.585339 7.295080 +145 3.599294 7.104982 +146 3.613379 6.919836 +147 3.627599 6.739516 +148 3.641959 6.563894 +149 3.656466 6.392849 +150 3.671125 6.226261 +151 3.685940 6.064014 +152 3.700917 5.905995 +153 3.716058 5.752094 +154 3.731366 5.602203 +155 3.746844 5.456218 +156 3.762493 5.314037 +157 3.778313 5.175561 +158 3.794308 5.040694 +159 3.810484 4.909341 +160 3.826848 4.781411 +161 3.843407 4.656815 +162 3.860169 4.535465 +163 3.877140 4.417278 +164 3.894331 4.302170 +165 3.911744 4.190062 +166 3.929379 4.080876 +167 3.947238 3.974534 +168 3.965319 3.870964 +169 3.983625 3.770092 +170 4.002153 3.671849 +171 4.020905 3.576166 +172 4.039880 3.482977 +173 4.059101 3.392216 +174 4.078618 3.303820 +175 4.098483 3.217727 +176 4.118716 3.133878 +177 4.139279 3.052214 +178 4.160127 2.972678 +179 4.181245 2.895214 +180 4.202668 2.819770 +181 4.224435 2.746291 +182 4.246570 2.674726 +183 4.269071 2.605027 +184 4.291934 2.537144 +185 4.315154 2.471030 +186 4.338724 2.406639 +187 4.362637 2.343925 +188 4.386893 2.282846 +189 4.411512 2.223359 +190 4.436516 2.165421 +191 4.461932 2.108994 +192 4.487793 2.054036 +193 4.514131 2.000511 +194 4.540985 1.948381 +195 4.568392 1.897609 +196 4.596339 1.848160 +197 4.624541 1.800000 +198 4.750173 1.600000 +199 4.903679 1.400000 diff --git a/2023-06-16/X200044.340 b/2023-06-16/X200044.340 new file mode 100644 index 0000000..6c280d7 --- /dev/null +++ b/2023-06-16/X200044.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1070-SD 2023-06-16 +Serial Number: X200044 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.73072,297.742 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.889263 330.0000 + 2 1.916239 310.0000 + 3 1.927752 301.9219 + 4 1.939323 294.0542 + 5 1.950964 286.3916 + 6 1.962664 278.9287 + 7 1.974417 271.6602 + 8 1.986219 264.5812 + 9 1.998063 257.6866 + 10 2.009946 250.9717 + 11 2.021862 244.4317 + 12 2.033807 238.0622 + 13 2.045780 231.8587 + 14 2.057779 225.8168 + 15 2.069802 219.9323 + 16 2.081846 214.2012 + 17 2.093909 208.6195 + 18 2.105988 203.1832 + 19 2.118083 197.8885 + 20 2.130189 192.7318 + 21 2.142305 187.7095 + 22 2.154429 182.8181 + 23 2.166558 178.0541 + 24 2.178689 173.4143 + 25 2.190822 168.8954 + 26 2.202952 164.4942 + 27 2.215075 160.2078 + 28 2.227187 156.0330 + 29 2.239282 151.9670 + 30 2.251355 148.0070 + 31 2.263402 144.1501 + 32 2.275420 140.3938 + 33 2.287408 136.7354 + 34 2.299366 133.1722 + 35 2.311298 129.7020 + 36 2.323206 126.3221 + 37 2.335094 123.0304 + 38 2.346963 119.8244 + 39 2.358816 116.7019 + 40 2.370656 113.6609 + 41 2.382480 110.6990 + 42 2.394289 107.8144 + 43 2.406081 105.0049 + 44 2.417855 102.2686 + 45 2.429610 99.60367 + 46 2.441345 97.00815 + 47 2.453061 94.48027 + 48 2.464758 92.01825 + 49 2.476435 89.62040 + 50 2.488093 87.28502 + 51 2.499733 85.01051 + 52 2.511357 82.79526 + 53 2.522965 80.63774 + 54 2.534561 78.53645 + 55 2.546145 76.48990 + 56 2.557718 74.49669 + 57 2.569282 72.55542 + 58 2.580837 70.66474 + 59 2.592384 68.82332 + 60 2.603924 67.02989 + 61 2.615457 65.28319 + 62 2.626983 63.58201 + 63 2.638504 61.92516 + 64 2.650020 60.31148 + 65 2.661530 58.73986 + 66 2.673034 57.20918 + 67 2.684533 55.71840 + 68 2.696025 54.26646 + 69 2.707512 52.85236 + 70 2.718991 51.47511 + 71 2.730465 50.13374 + 72 2.741931 48.82733 + 73 2.753391 47.55497 + 74 2.764844 46.31576 + 75 2.776290 45.10884 + 76 2.787729 43.93337 + 77 2.799161 42.78853 + 78 2.810586 41.67353 + 79 2.822004 40.58758 + 80 2.833417 39.52993 + 81 2.844826 38.49984 + 82 2.856230 37.49659 + 83 2.867630 36.51949 + 84 2.879028 35.56784 + 85 2.890423 34.64100 + 86 2.901816 33.73831 + 87 2.913208 32.85914 + 88 2.924600 32.00288 + 89 2.935993 31.16893 + 90 2.947388 30.35672 + 91 2.958785 29.56567 + 92 2.970185 28.79523 + 93 2.981588 28.04487 + 94 2.992994 27.31406 + 95 3.004402 26.60230 + 96 3.015813 25.90908 + 97 3.027226 25.23393 + 98 3.038642 24.57637 + 99 3.050060 23.93595 +100 3.061482 23.31221 +101 3.072909 22.70473 +102 3.084345 22.11308 +103 3.095790 21.53685 +104 3.107249 20.97563 +105 3.118722 20.42904 +106 3.130214 19.89669 +107 3.141726 19.37821 +108 3.153261 18.87324 +109 3.164823 18.38144 +110 3.176416 17.90244 +111 3.188046 17.43593 +112 3.199712 16.98158 +113 3.211412 16.53906 +114 3.223142 16.10808 +115 3.234900 15.68833 +116 3.246688 15.27951 +117 3.258509 14.88135 +118 3.270368 14.49357 +119 3.282266 14.11589 +120 3.294208 13.74805 +121 3.306197 13.38980 +122 3.318237 13.04088 +123 3.330333 12.70105 +124 3.342487 12.37008 +125 3.354704 12.04774 +126 3.366988 11.73379 +127 3.379344 11.42803 +128 3.391777 11.13023 +129 3.404284 10.84019 +130 3.416863 10.55771 +131 3.429507 10.28259 +132 3.442221 10.01465 +133 3.455018 9.753679 +134 3.467914 9.499513 +135 3.480920 9.251970 +136 3.494038 9.010877 +137 3.507267 8.776067 +138 3.520606 8.547376 +139 3.534055 8.324645 +140 3.547613 8.107717 +141 3.561280 7.896442 +142 3.575057 7.690673 +143 3.588950 7.490265 +144 3.602964 7.295080 +145 3.617104 7.104982 +146 3.631375 6.919836 +147 3.645783 6.739516 +148 3.660333 6.563894 +149 3.675032 6.392849 +150 3.689886 6.226261 +151 3.704901 6.064014 +152 3.720080 5.905995 +153 3.735426 5.752094 +154 3.750941 5.602203 +155 3.766628 5.456218 +156 3.782487 5.314037 +157 3.798518 5.175561 +158 3.814723 5.040694 +159 3.831108 4.909341 +160 3.847681 4.781411 +161 3.864450 4.656815 +162 3.881433 4.535465 +163 3.898649 4.417278 +164 3.916118 4.302170 +165 3.933820 4.190062 +166 3.951678 4.080876 +167 3.969608 3.974534 +168 3.987554 3.870964 +169 4.005621 3.770092 +170 4.023963 3.671849 +171 4.042748 3.576166 +172 4.062155 3.482977 +173 4.082215 3.392216 +174 4.102671 3.303820 +175 4.123216 3.217727 +176 4.143720 3.133878 +177 4.164352 3.052214 +178 4.185317 2.972678 +179 4.206719 2.895214 +180 4.228502 2.819770 +181 4.250595 2.746291 +182 4.272975 2.674726 +183 4.295688 2.605027 +184 4.318790 2.537144 +185 4.342308 2.471030 +186 4.366222 2.406639 +187 4.390509 2.343925 +188 4.415155 2.282846 +189 4.440171 2.223359 +190 4.465568 2.165421 +191 4.491364 2.108994 +192 4.517579 2.054036 +193 4.544235 2.000511 +194 4.571356 1.948381 +195 4.598966 1.897609 +196 4.627047 1.848160 +197 4.655374 1.800000 +198 4.782306 1.600000 +199 4.937567 1.400000 diff --git a/2023-06-16/X200047.340 b/2023-06-16/X200047.340 new file mode 100644 index 0000000..79fb40d --- /dev/null +++ b/2023-06-16/X200047.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1070-SD 2023-06-16 +Serial Number: X200047 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.72966,297.632 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.892117 330.0000 + 2 1.919157 310.0000 + 3 1.930698 301.9219 + 4 1.942317 294.0542 + 5 1.953983 286.3916 + 6 1.965705 278.9287 + 7 1.977477 271.6602 + 8 1.989295 264.5812 + 9 2.001153 257.6866 + 10 2.013047 250.9717 + 11 2.024970 244.4317 + 12 2.036921 238.0622 + 13 2.048896 231.8587 + 14 2.060895 225.8168 + 15 2.072914 219.9323 + 16 2.084952 214.2012 + 17 2.097006 208.6195 + 18 2.109075 203.1832 + 19 2.121156 197.8885 + 20 2.133246 192.7318 + 21 2.145344 187.7095 + 22 2.157447 182.8181 + 23 2.169552 178.0541 + 24 2.181659 173.4143 + 25 2.193763 168.8954 + 26 2.205863 164.4942 + 27 2.217955 160.2078 + 28 2.230033 156.0330 + 29 2.242092 151.9670 + 30 2.254127 148.0070 + 31 2.266134 144.1501 + 32 2.278111 140.3938 + 33 2.290055 136.7354 + 34 2.301968 133.1722 + 35 2.313853 129.7020 + 36 2.325713 126.3221 + 37 2.337551 123.0304 + 38 2.349370 119.8244 + 39 2.361171 116.7019 + 40 2.372957 113.6609 + 41 2.384728 110.6990 + 42 2.396481 107.8144 + 43 2.408217 105.0049 + 44 2.419933 102.2686 + 45 2.431629 99.60367 + 46 2.443304 97.00815 + 47 2.454958 94.48027 + 48 2.466590 92.01825 + 49 2.478201 89.62040 + 50 2.489792 87.28502 + 51 2.501363 85.01051 + 52 2.512915 82.79526 + 53 2.524452 80.63774 + 54 2.535973 78.53645 + 55 2.547481 76.48990 + 56 2.558977 74.49669 + 57 2.570463 72.55542 + 58 2.581939 70.66474 + 59 2.593406 68.82332 + 60 2.604864 67.02989 + 61 2.616315 65.28319 + 62 2.627758 63.58201 + 63 2.639195 61.92516 + 64 2.650627 60.31148 + 65 2.662052 58.73986 + 66 2.673471 57.20918 + 67 2.684884 55.71840 + 68 2.696289 54.26646 + 69 2.707688 52.85236 + 70 2.719080 51.47511 + 71 2.730465 50.13374 + 72 2.741842 48.82733 + 73 2.753212 47.55497 + 74 2.764574 46.31576 + 75 2.775928 45.10884 + 76 2.787274 43.93337 + 77 2.798612 42.78853 + 78 2.809942 41.67353 + 79 2.821265 40.58758 + 80 2.832582 39.52993 + 81 2.843894 38.49984 + 82 2.855202 37.49659 + 83 2.866506 36.51949 + 84 2.877808 35.56784 + 85 2.889107 34.64100 + 86 2.900405 33.73831 + 87 2.911701 32.85914 + 88 2.922995 32.00288 + 89 2.934289 31.16893 + 90 2.945582 30.35672 + 91 2.956876 29.56567 + 92 2.968171 28.79523 + 93 2.979467 28.04487 + 94 2.990765 27.31406 + 95 3.002064 26.60230 + 96 3.013367 25.90908 + 97 3.024672 25.23393 + 98 3.035981 24.57637 + 99 3.047293 23.93595 +100 3.058611 23.31221 +101 3.069936 22.70473 +102 3.081272 22.11308 +103 3.092619 21.53685 +104 3.103980 20.97563 +105 3.115356 20.42904 +106 3.126749 19.89669 +107 3.138162 19.37821 +108 3.149596 18.87324 +109 3.161053 18.38144 +110 3.172534 17.90244 +111 3.184043 17.43593 +112 3.195581 16.98158 +113 3.207149 16.53906 +114 3.218749 16.10808 +115 3.230384 15.68833 +116 3.242056 15.27951 +117 3.253767 14.88135 +118 3.265518 14.49357 +119 3.277313 14.11589 +120 3.289154 13.74805 +121 3.301043 13.38980 +122 3.312982 13.04088 +123 3.324975 12.70105 +124 3.337025 12.37008 +125 3.349134 12.04774 +126 3.361305 11.73379 +127 3.373541 11.42803 +128 3.385847 11.13023 +129 3.398225 10.84019 +130 3.410681 10.55771 +131 3.423219 10.28259 +132 3.435844 10.01465 +133 3.448560 9.753679 +134 3.461370 9.499513 +135 3.474276 9.251970 +136 3.487281 9.010877 +137 3.500388 8.776067 +138 3.513600 8.547376 +139 3.526919 8.324645 +140 3.540349 8.107717 +141 3.553893 7.896442 +142 3.567555 7.690673 +143 3.581338 7.490265 +144 3.595246 7.295080 +145 3.609284 7.104982 +146 3.623454 6.919836 +147 3.637762 6.739516 +148 3.652212 6.563894 +149 3.666808 6.392849 +150 3.681553 6.226261 +151 3.696454 6.064014 +152 3.711514 5.905995 +153 3.726737 5.752094 +154 3.742129 5.602203 +155 3.757694 5.456218 +156 3.773434 5.314037 +157 3.789352 5.175561 +158 3.805452 5.040694 +159 3.821737 4.909341 +160 3.838211 4.781411 +161 3.854877 4.656815 +162 3.871741 4.535465 +163 3.888805 4.417278 +164 3.906074 4.302170 +165 3.923568 4.190062 +166 3.941323 4.080876 +167 3.959384 3.974534 +168 3.977777 3.870964 +169 3.996443 3.770092 +170 4.015294 3.671849 +171 4.034233 3.576166 +172 4.053159 3.482977 +173 4.072106 3.392216 +174 4.091322 3.303820 +175 4.111091 3.217727 +176 4.131538 3.133878 +177 4.152503 3.052214 +178 4.173783 2.972678 +179 4.195269 2.895214 +180 4.216989 2.819770 +181 4.238986 2.746291 +182 4.261294 2.674726 +183 4.283940 2.605027 +184 4.306949 2.537144 +185 4.330339 2.471030 +186 4.354107 2.406639 +187 4.378254 2.343925 +188 4.402774 2.282846 +189 4.427662 2.223359 +190 4.452910 2.165421 +191 4.478513 2.108994 +192 4.504471 2.054036 +193 4.530778 2.000511 +194 4.557431 1.948381 +195 4.584425 1.897609 +196 4.611805 1.848160 +197 4.639882 1.800000 +198 4.777644 1.600000 +199 4.948926 1.400000 diff --git a/2023-06-16/X200048.340 b/2023-06-16/X200048.340 new file mode 100644 index 0000000..dba90be --- /dev/null +++ b/2023-06-16/X200048.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1070-SD 2023-06-16 +Serial Number: X200048 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.73185,297.964 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.900794 330.0000 + 2 1.928156 310.0000 + 3 1.939834 301.9219 + 4 1.951580 294.0542 + 5 1.963389 286.3916 + 6 1.975257 278.9287 + 7 1.987179 271.6602 + 8 1.999150 264.5812 + 9 2.011165 257.6866 + 10 2.023217 250.9717 + 11 2.035300 244.4317 + 12 2.047412 238.0622 + 13 2.059551 231.8587 + 14 2.071716 225.8168 + 15 2.083904 219.9323 + 16 2.096114 214.2012 + 17 2.108346 208.6195 + 18 2.120598 203.1832 + 19 2.132868 197.8885 + 20 2.145154 192.7318 + 21 2.157450 187.7095 + 22 2.169753 182.8181 + 23 2.182058 178.0541 + 24 2.194361 173.4143 + 25 2.206658 168.8954 + 26 2.218945 164.4942 + 27 2.231218 160.2078 + 28 2.243476 156.0330 + 29 2.255715 151.9670 + 30 2.267934 148.0070 + 31 2.280131 144.1501 + 32 2.292307 140.3938 + 33 2.304461 136.7354 + 34 2.316594 133.1722 + 35 2.328705 129.7020 + 36 2.340796 126.3221 + 37 2.352865 123.0304 + 38 2.364914 119.8244 + 39 2.376941 116.7019 + 40 2.388948 113.6609 + 41 2.400935 110.6990 + 42 2.412900 107.8144 + 43 2.424846 105.0049 + 44 2.436771 102.2686 + 45 2.448676 99.60367 + 46 2.460562 97.00815 + 47 2.472429 94.48027 + 48 2.484278 92.01825 + 49 2.496112 89.62040 + 50 2.507930 87.28502 + 51 2.519735 85.01051 + 52 2.531526 82.79526 + 53 2.543305 80.63774 + 54 2.555071 78.53645 + 55 2.566827 76.48990 + 56 2.578573 74.49669 + 57 2.590308 72.55542 + 58 2.602034 70.66474 + 59 2.613750 68.82332 + 60 2.625456 67.02989 + 61 2.637152 65.28319 + 62 2.648838 63.58201 + 63 2.660514 61.92516 + 64 2.672182 60.31148 + 65 2.683846 58.73986 + 66 2.695514 57.20918 + 67 2.707186 55.71840 + 68 2.718860 54.26646 + 69 2.730529 52.85236 + 70 2.742188 51.47511 + 71 2.753834 50.13374 + 72 2.765470 48.82733 + 73 2.777097 47.55497 + 74 2.788714 46.31576 + 75 2.800324 45.10884 + 76 2.811928 43.93337 + 77 2.823527 42.78853 + 78 2.835121 41.67353 + 79 2.846711 40.58758 + 80 2.858297 39.52993 + 81 2.869880 38.49984 + 82 2.881461 37.49659 + 83 2.893039 36.51949 + 84 2.904616 35.56784 + 85 2.916192 34.64100 + 86 2.927767 33.73831 + 87 2.939342 32.85914 + 88 2.950918 32.00288 + 89 2.962495 31.16893 + 90 2.974074 30.35672 + 91 2.985656 29.56567 + 92 2.997241 28.79523 + 93 3.008831 28.04487 + 94 3.020424 27.31406 + 95 3.032020 26.60230 + 96 3.043621 25.90908 + 97 3.055227 25.23393 + 98 3.066837 24.57637 + 99 3.078451 23.93595 +100 3.090071 23.31221 +101 3.101700 22.70473 +102 3.113340 22.11308 +103 3.124992 21.53685 +104 3.136661 20.97563 +105 3.148347 20.42904 +106 3.160053 19.89669 +107 3.171782 19.37821 +108 3.183536 18.87324 +109 3.195317 18.38144 +110 3.207124 17.90244 +111 3.218961 17.43593 +112 3.230826 16.98158 +113 3.242722 16.53906 +114 3.254649 16.10808 +115 3.266609 15.68833 +116 3.278604 15.27951 +117 3.290638 14.88135 +118 3.302713 14.49357 +119 3.314832 14.11589 +120 3.326999 13.74805 +121 3.339218 13.38980 +122 3.351491 13.04088 +123 3.363822 12.70105 +124 3.376216 12.37008 +125 3.388675 12.04774 +126 3.401204 11.73379 +127 3.413808 11.42803 +128 3.426490 11.13023 +129 3.439250 10.84019 +130 3.452087 10.55771 +131 3.464996 10.28259 +132 3.477983 10.01465 +133 3.491056 9.753679 +134 3.504227 9.499513 +135 3.517504 9.251970 +136 3.530890 9.010877 +137 3.544387 8.776067 +138 3.557997 8.547376 +139 3.571720 8.324645 +140 3.585559 8.107717 +141 3.599516 7.896442 +142 3.613594 7.690673 +143 3.627796 7.490265 +144 3.642126 7.295080 +145 3.656590 7.104982 +146 3.671190 6.919836 +147 3.685931 6.739516 +148 3.700818 6.563894 +149 3.715854 6.392849 +150 3.731045 6.226261 +151 3.746395 6.064014 +152 3.761909 5.905995 +153 3.777592 5.752094 +154 3.793450 5.602203 +155 3.809489 5.456218 +156 3.825711 5.314037 +157 3.842121 5.175561 +158 3.858721 5.040694 +159 3.875514 4.909341 +160 3.892500 4.781411 +161 3.909681 4.656815 +162 3.927057 4.535465 +163 3.944631 4.417278 +164 3.962404 4.302170 +165 3.980406 4.190062 +166 3.998707 4.080876 +167 4.017385 3.974534 +168 4.036488 3.870964 +169 4.055928 3.770092 +170 4.075572 3.671849 +171 4.095279 3.576166 +172 4.114896 3.482977 +173 4.134435 3.392216 +174 4.154141 3.303820 +175 4.174297 3.217727 +176 4.195067 3.133878 +177 4.216386 3.052214 +178 4.238153 2.972678 +179 4.260299 2.895214 +180 4.282795 2.819770 +181 4.305616 2.746291 +182 4.328750 2.674726 +183 4.352210 2.605027 +184 4.376010 2.537144 +185 4.400166 2.471030 +186 4.424693 2.406639 +187 4.449606 2.343925 +188 4.474912 2.282846 +189 4.500605 2.223359 +190 4.526677 2.165421 +191 4.553123 2.108994 +192 4.579938 2.054036 +193 4.607120 2.000511 +194 4.634662 1.948381 +195 4.662557 1.897609 +196 4.690853 1.848160 +197 4.719859 1.800000 +198 4.861691 1.600000 +199 5.037860 1.400000 diff --git a/2023-06-22/X133833.340 b/2023-06-22/X133833.340 new file mode 100644 index 0000000..1f70c83 --- /dev/null +++ b/2023-06-22/X133833.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD 2023-06-22 +Serial Number: X133833 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.4323,303.567 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.601096 330.0000 + 2 1.620348 310.0000 + 3 1.628756 301.7396 + 4 1.637221 293.6992 + 5 1.645743 285.8731 + 6 1.654316 278.2556 + 7 1.662933 270.8410 + 8 1.671589 263.6240 + 9 1.680275 256.5994 + 10 1.688986 249.7619 + 11 1.697714 243.1066 + 12 1.706453 236.6286 + 13 1.715201 230.3233 + 14 1.723952 224.1859 + 15 1.732705 218.2121 + 16 1.741457 212.3975 + 17 1.750206 206.7379 + 18 1.758949 201.2290 + 19 1.767685 195.8669 + 20 1.776409 190.6478 + 21 1.785121 185.5676 + 22 1.793818 180.6229 + 23 1.802497 175.8099 + 24 1.811156 171.1252 + 25 1.819793 166.5653 + 26 1.828405 162.1269 + 27 1.836990 157.8068 + 28 1.845547 153.6017 + 29 1.854072 149.5088 + 30 1.862564 145.5249 + 31 1.871023 141.6471 + 32 1.879449 137.8727 + 33 1.887841 134.1989 + 34 1.896199 130.6229 + 35 1.904523 127.1423 + 36 1.912812 123.7544 + 37 1.921067 120.4567 + 38 1.929287 117.2470 + 39 1.937472 114.1228 + 40 1.945622 111.0818 + 41 1.953736 108.1218 + 42 1.961815 105.2407 + 43 1.969860 102.4364 + 44 1.977869 99.70685 + 45 1.985844 97.05001 + 46 1.993784 94.46396 + 47 2.001691 91.94681 + 48 2.009566 89.49674 + 49 2.017410 87.11196 + 50 2.025223 84.79073 + 51 2.033006 82.53134 + 52 2.040760 80.33216 + 53 2.048485 78.19158 + 54 2.056182 76.10805 + 55 2.063853 74.08003 + 56 2.071496 72.10605 + 57 2.079111 70.18467 + 58 2.086700 68.31448 + 59 2.094261 66.49414 + 60 2.101794 64.72229 + 61 2.109300 62.99767 + 62 2.116778 61.31899 + 63 2.124228 59.68505 + 64 2.131651 58.09465 + 65 2.139045 56.54662 + 66 2.146412 55.03985 + 67 2.153750 53.57322 + 68 2.161062 52.14568 + 69 2.168348 50.75618 + 70 2.175610 49.40370 + 71 2.182850 48.08726 + 72 2.190069 46.80590 + 73 2.197269 45.55868 + 74 2.204448 44.34470 + 75 2.211602 43.16306 + 76 2.218721 42.01291 + 77 2.225800 40.89341 + 78 2.232837 39.80374 + 79 2.239838 38.74311 + 80 2.246807 37.71074 + 81 2.253746 36.70587 + 82 2.260656 35.72779 + 83 2.267538 34.77576 + 84 2.274391 33.84911 + 85 2.281215 32.94714 + 86 2.288012 32.06922 + 87 2.294781 31.21468 + 88 2.301522 30.38292 + 89 2.308237 29.57331 + 90 2.314926 28.78529 + 91 2.321589 28.01826 + 92 2.328227 27.27167 + 93 2.334839 26.54497 + 94 2.341428 25.83764 + 95 2.347992 25.14915 + 96 2.354532 24.47901 + 97 2.361048 23.82673 + 98 2.367542 23.19183 + 99 2.374014 22.57385 +100 2.380467 21.97233 +101 2.386902 21.38684 +102 2.393320 20.81696 +103 2.399722 20.26226 +104 2.406110 19.72234 +105 2.412486 19.19680 +106 2.418852 18.68527 +107 2.425211 18.18737 +108 2.431563 17.70274 +109 2.437911 17.23103 +110 2.444257 16.77188 +111 2.450603 16.32496 +112 2.456952 15.88996 +113 2.463304 15.46655 +114 2.469663 15.05442 +115 2.476030 14.65327 +116 2.482407 14.26281 +117 2.488797 13.88275 +118 2.495201 13.51282 +119 2.501621 13.15275 +120 2.508055 12.80228 +121 2.514506 12.46114 +122 2.520972 12.12909 +123 2.527455 11.80589 +124 2.533956 11.49131 +125 2.540477 11.18510 +126 2.547021 10.88706 +127 2.553591 10.59696 +128 2.560190 10.31458 +129 2.566824 10.03973 +130 2.573493 9.772210 +131 2.580201 9.511814 +132 2.586949 9.258356 +133 2.593738 9.011653 +134 2.600568 8.771523 +135 2.607441 8.537792 +136 2.614359 8.310289 +137 2.621322 8.088848 +138 2.628333 7.873308 +139 2.635391 7.663511 +140 2.642500 7.459304 +141 2.649661 7.260539 +142 2.656875 7.067071 +143 2.664144 6.878757 +144 2.671469 6.695462 +145 2.678852 6.517051 +146 2.686295 6.343394 +147 2.693798 6.174364 +148 2.701363 6.009838 +149 2.708991 5.849696 +150 2.716685 5.693822 +151 2.724446 5.542101 +152 2.732275 5.394423 +153 2.740174 5.250680 +154 2.748143 5.110767 +155 2.756183 4.974583 +156 2.764298 4.842027 +157 2.772486 4.713004 +158 2.780752 4.587418 +159 2.789095 4.465179 +160 2.797517 4.346197 +161 2.806020 4.230386 +162 2.814606 4.117661 +163 2.823276 4.007939 +164 2.832034 3.901141 +165 2.840881 3.797189 +166 2.849821 3.696007 +167 2.858857 3.597521 +168 2.867991 3.501659 +169 2.877227 3.408352 +170 2.886569 3.317531 +171 2.896018 3.229130 +172 2.905580 3.143085 +173 2.915257 3.059332 +174 2.925053 2.977812 +175 2.934969 2.898463 +176 2.945010 2.821229 +177 2.955178 2.746053 +178 2.965476 2.672880 +179 2.975906 2.601657 +180 2.986471 2.532331 +181 2.997164 2.464853 +182 3.007979 2.399173 +183 3.018908 2.335244 +184 3.029961 2.273017 +185 3.041156 2.212449 +186 3.052513 2.153495 +187 3.064035 2.096112 +188 3.075696 2.040258 +189 3.087470 1.985892 +190 3.099347 1.932974 +191 3.111349 1.881467 +192 3.123506 1.831333 +193 3.135843 1.782534 +194 3.148373 1.735035 +195 3.161100 1.688803 +196 3.174031 1.643802 +197 3.187171 1.600000 +198 3.255466 1.400000 +199 3.342177 1.200000 diff --git a/2023-06-22/X133834.340 b/2023-06-22/X133834.340 new file mode 100644 index 0000000..bee00d0 --- /dev/null +++ b/2023-06-22/X133834.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD 2023-06-22 +Serial Number: X133834 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.43222,303.491 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.588953 330.0000 + 2 1.607865 310.0000 + 3 1.616125 301.7396 + 4 1.624429 293.6992 + 5 1.632779 285.8731 + 6 1.641169 278.2556 + 7 1.649596 270.8410 + 8 1.658057 263.6240 + 9 1.666546 256.5994 + 10 1.675061 249.7619 + 11 1.683596 243.1066 + 12 1.692151 236.6286 + 13 1.700722 230.3233 + 14 1.709305 224.1859 + 15 1.717892 218.2121 + 16 1.726476 212.3975 + 17 1.735052 206.7379 + 18 1.743618 201.2290 + 19 1.752176 195.8669 + 20 1.760723 190.6478 + 21 1.769259 185.5676 + 22 1.777780 180.6229 + 23 1.786284 175.8099 + 24 1.794767 171.1252 + 25 1.803227 166.5653 + 26 1.811661 162.1269 + 27 1.820068 157.8068 + 28 1.828443 153.6017 + 29 1.836787 149.5088 + 30 1.845097 145.5249 + 31 1.853374 141.6471 + 32 1.861616 137.8727 + 33 1.869824 134.1989 + 34 1.877998 130.6229 + 35 1.886137 127.1423 + 36 1.894242 123.7544 + 37 1.902313 120.4567 + 38 1.910349 117.2470 + 39 1.918350 114.1228 + 40 1.926317 111.0818 + 41 1.934249 108.1218 + 42 1.942146 105.2407 + 43 1.950009 102.4364 + 44 1.957837 99.70685 + 45 1.965630 97.05001 + 46 1.973390 94.46396 + 47 1.981116 91.94681 + 48 1.988809 89.49674 + 49 1.996471 87.11196 + 50 2.004102 84.79073 + 51 2.011702 82.53134 + 52 2.019272 80.33216 + 53 2.026813 78.19158 + 54 2.034326 76.10805 + 55 2.041811 74.08003 + 56 2.049268 72.10605 + 57 2.056698 70.18467 + 58 2.064100 68.31448 + 59 2.071474 66.49414 + 60 2.078821 64.72229 + 61 2.086141 62.99767 + 62 2.093433 61.31899 + 63 2.100698 59.68505 + 64 2.107936 58.09465 + 65 2.115146 56.54662 + 66 2.122329 55.03985 + 67 2.129485 53.57322 + 68 2.136615 52.14568 + 69 2.143718 50.75618 + 70 2.150795 49.40370 + 71 2.157846 48.08726 + 72 2.164873 46.80590 + 73 2.171875 45.55868 + 74 2.178852 44.34470 + 75 2.185804 43.16306 + 76 2.192729 42.01291 + 77 2.199627 40.89341 + 78 2.206494 39.80374 + 79 2.213330 38.74311 + 80 2.220130 37.71074 + 81 2.226895 36.70587 + 82 2.233625 35.72779 + 83 2.240322 34.77576 + 84 2.246988 33.84911 + 85 2.253625 32.94714 + 86 2.260234 32.06922 + 87 2.266816 31.21468 + 88 2.273374 30.38292 + 89 2.279906 29.57331 + 90 2.286413 28.78529 + 91 2.292895 28.01826 + 92 2.299350 27.27167 + 93 2.305780 26.54497 + 94 2.312185 25.83764 + 95 2.318563 25.14915 + 96 2.324916 24.47901 + 97 2.331245 23.82673 + 98 2.337550 23.19183 + 99 2.343834 22.57385 +100 2.350097 21.97233 +101 2.356342 21.38684 +102 2.362570 20.81696 +103 2.368783 20.26226 +104 2.374982 19.72234 +105 2.381169 19.19680 +106 2.387346 18.68527 +107 2.393516 18.18737 +108 2.399678 17.70274 +109 2.405837 17.23103 +110 2.411993 16.77188 +111 2.418148 16.32496 +112 2.424304 15.88996 +113 2.430463 15.46655 +114 2.436626 15.05442 +115 2.442797 14.65327 +116 2.448976 14.26281 +117 2.455166 13.88275 +118 2.461369 13.51282 +119 2.467584 13.15275 +120 2.473814 12.80228 +121 2.480058 12.46114 +122 2.486318 12.12909 +123 2.492595 11.80589 +124 2.498889 11.49131 +125 2.505203 11.18510 +126 2.511540 10.88706 +127 2.517901 10.59696 +128 2.524291 10.31458 +129 2.530713 10.03973 +130 2.537168 9.772210 +131 2.543658 9.511814 +132 2.550186 9.258356 +133 2.556750 9.011653 +134 2.563354 8.771523 +135 2.569997 8.537792 +136 2.576681 8.310289 +137 2.583407 8.088848 +138 2.590177 7.873308 +139 2.596992 7.663511 +140 2.603853 7.459304 +141 2.610762 7.260539 +142 2.617720 7.067071 +143 2.624730 6.878757 +144 2.631792 6.695462 +145 2.638908 6.517051 +146 2.646080 6.343394 +147 2.653309 6.174364 +148 2.660597 6.009838 +149 2.667947 5.849696 +150 2.675359 5.693822 +151 2.682837 5.542101 +152 2.690382 5.394423 +153 2.697995 5.250680 +154 2.705677 5.110767 +155 2.713430 4.974583 +156 2.721253 4.842027 +157 2.729148 4.713004 +158 2.737115 4.587418 +159 2.745155 4.465179 +160 2.753268 4.346197 +161 2.761455 4.230386 +162 2.769717 4.117661 +163 2.778054 4.007939 +164 2.786468 3.901141 +165 2.794961 3.797189 +166 2.803532 3.696007 +167 2.812189 3.597521 +168 2.820937 3.501659 +169 2.829789 3.408352 +170 2.838750 3.317531 +171 2.847823 3.229130 +172 2.857005 3.143085 +173 2.866293 3.059332 +174 2.875688 2.977812 +175 2.885192 2.898463 +176 2.894808 2.821229 +177 2.904538 2.746053 +178 2.914384 2.672880 +179 2.924348 2.601657 +180 2.934432 2.532331 +181 2.944639 2.464853 +182 2.954971 2.399173 +183 2.965431 2.335244 +184 2.976019 2.273017 +185 2.986739 2.212449 +186 2.997591 2.153495 +187 3.008577 2.096112 +188 3.019697 2.040258 +189 3.030948 1.985892 +190 3.042329 1.932974 +191 3.053837 1.881467 +192 3.065470 1.831333 +193 3.077227 1.782534 +194 3.089118 1.735035 +195 3.101162 1.688803 +196 3.113375 1.643802 +197 3.125776 1.600000 +198 3.190666 1.400000 +199 3.273631 1.200000 diff --git a/2023-06-22/X174782.340 b/2023-06-22/X174782.340 new file mode 100644 index 0000000..a39d784 --- /dev/null +++ b/2023-06-22/X174782.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU 2023-06-22 +Serial Number: X174782 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.43187,303.409 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.806478 330.0000 + 2 1.829540 310.0000 + 3 1.839607 301.7396 + 4 1.849728 293.6992 + 5 1.859893 285.8731 + 6 1.870098 278.2556 + 7 1.880338 270.8410 + 8 1.890607 263.6240 + 9 1.900899 256.5994 + 10 1.911211 249.7619 + 11 1.921535 243.1066 + 12 1.931870 236.6286 + 13 1.942212 230.3233 + 14 1.952558 224.1859 + 15 1.962908 218.2121 + 16 1.973256 212.3975 + 17 1.983602 206.7379 + 18 1.993941 201.2290 + 19 2.004272 195.8669 + 20 2.014591 190.6478 + 21 2.024897 185.5676 + 22 2.035186 180.6229 + 23 2.045455 175.8099 + 24 2.055702 171.1252 + 25 2.065924 166.5653 + 26 2.076120 162.1269 + 27 2.086285 157.8068 + 28 2.096419 153.6017 + 29 2.106519 149.5088 + 30 2.116583 145.5249 + 31 2.126611 141.6471 + 32 2.136603 137.8727 + 33 2.146560 134.1989 + 34 2.156480 130.6229 + 35 2.166366 127.1423 + 36 2.176215 123.7544 + 37 2.186029 120.4567 + 38 2.195807 117.2470 + 39 2.205550 114.1228 + 40 2.215257 111.0818 + 41 2.224929 108.1218 + 42 2.234566 105.2407 + 43 2.244168 102.4364 + 44 2.253734 99.70685 + 45 2.263266 97.05001 + 46 2.272764 94.46396 + 47 2.282229 91.94681 + 48 2.291663 89.49674 + 49 2.301065 87.11196 + 50 2.310438 84.79073 + 51 2.319782 82.53134 + 52 2.329097 80.33216 + 53 2.338386 78.19158 + 54 2.347648 76.10805 + 55 2.356886 74.08003 + 56 2.366101 72.10605 + 57 2.375292 70.18467 + 58 2.384462 68.31448 + 59 2.393610 66.49414 + 60 2.402738 64.72229 + 61 2.411846 62.99767 + 62 2.420934 61.31899 + 63 2.430004 59.68505 + 64 2.439055 58.09465 + 65 2.448087 56.54662 + 66 2.457102 55.03985 + 67 2.466099 53.57322 + 68 2.475079 52.14568 + 69 2.484041 50.75618 + 70 2.492985 49.40370 + 71 2.501911 48.08726 + 72 2.510818 46.80590 + 73 2.519707 45.55868 + 74 2.528577 44.34470 + 75 2.537428 43.16306 + 76 2.546259 42.01291 + 77 2.555072 40.89341 + 78 2.563864 39.80374 + 79 2.572637 38.74311 + 80 2.581391 37.71074 + 81 2.590124 36.70587 + 82 2.598840 35.72779 + 83 2.607539 34.77576 + 84 2.616224 33.84911 + 85 2.624896 32.94714 + 86 2.633558 32.06922 + 87 2.642210 31.21468 + 88 2.650854 30.38292 + 89 2.659488 29.57331 + 90 2.668113 28.78529 + 91 2.676726 28.01826 + 92 2.685327 27.27167 + 93 2.693915 26.54497 + 94 2.702490 25.83764 + 95 2.711050 25.14915 + 96 2.719595 24.47901 + 97 2.728126 23.82673 + 98 2.736644 23.19183 + 99 2.745150 22.57385 +100 2.753645 21.97233 +101 2.762132 21.38684 +102 2.770612 20.81696 +103 2.779091 20.26226 +104 2.787569 19.72234 +105 2.796050 19.19680 +106 2.804535 18.68527 +107 2.813026 18.18737 +108 2.821525 17.70274 +109 2.830033 17.23103 +110 2.838552 16.77188 +111 2.847085 16.32496 +112 2.855632 15.88996 +113 2.864196 15.46655 +114 2.872777 15.05442 +115 2.881380 14.65327 +116 2.890004 14.26281 +117 2.898653 13.88275 +118 2.907327 13.51282 +119 2.916029 13.15275 +120 2.924760 12.80228 +121 2.933520 12.46114 +122 2.942313 12.12909 +123 2.951138 11.80589 +124 2.959999 11.49131 +125 2.968897 11.18510 +126 2.977838 10.88706 +127 2.986824 10.59696 +128 2.995860 10.31458 +129 3.004951 10.03973 +130 3.014099 9.772210 +131 3.023308 9.511814 +132 3.032578 9.258356 +133 3.041912 9.011653 +134 3.051311 8.771523 +135 3.060777 8.537792 +136 3.070311 8.310289 +137 3.079916 8.088848 +138 3.089594 7.873308 +139 3.099346 7.663511 +140 3.109175 7.459304 +141 3.119083 7.260539 +142 3.129073 7.067071 +143 3.139147 6.878757 +144 3.149307 6.695462 +145 3.159555 6.517051 +146 3.169895 6.343394 +147 3.180327 6.174364 +148 3.190855 6.009838 +149 3.201480 5.849696 +150 3.212207 5.693822 +151 3.223038 5.542101 +152 3.233974 5.394423 +153 3.245019 5.250680 +154 3.256174 5.110767 +155 3.267444 4.974583 +156 3.278830 4.842027 +157 3.290337 4.713004 +158 3.301968 4.587418 +159 3.313727 4.465179 +160 3.325617 4.346197 +161 3.337640 4.230386 +162 3.349798 4.117661 +163 3.362092 4.007939 +164 3.374526 3.901141 +165 3.387103 3.797189 +166 3.399826 3.696007 +167 3.412700 3.597521 +168 3.425731 3.501659 +169 3.438927 3.408352 +170 3.452295 3.317531 +171 3.465843 3.229130 +172 3.479580 3.143085 +173 3.493514 3.059332 +174 3.507648 2.977812 +175 3.521986 2.898463 +176 3.536530 2.821229 +177 3.551280 2.746053 +178 3.566239 2.672880 +179 3.581408 2.601657 +180 3.596789 2.532331 +181 3.612387 2.464853 +182 3.628208 2.399173 +183 3.644259 2.335244 +184 3.660553 2.273017 +185 3.677106 2.212449 +186 3.693935 2.153495 +187 3.711040 2.096112 +188 3.728399 2.040258 +189 3.745985 1.985892 +190 3.763788 1.932974 +191 3.781831 1.881467 +192 3.800141 1.831333 +193 3.818748 1.782534 +194 3.837666 1.735035 +195 3.856909 1.688803 +196 3.876490 1.643802 +197 3.896424 1.600000 +198 4.000670 1.400000 +199 4.133677 1.200000 diff --git a/2023-06-22/X189666.340 b/2023-06-22/X189666.340 new file mode 100644 index 0000000..b9e75f0 --- /dev/null +++ b/2023-06-22/X189666.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU 2023-06-22 +Serial Number: X189666 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.43156,303.324 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.792866 330.0000 + 2 1.816844 310.0000 + 3 1.827320 301.7396 + 4 1.837852 293.6992 + 5 1.848443 285.8731 + 6 1.859087 278.2556 + 7 1.869781 270.8410 + 8 1.880518 263.6240 + 9 1.891294 256.5994 + 10 1.902101 249.7619 + 11 1.912935 243.1066 + 12 1.923793 236.6286 + 13 1.934672 230.3233 + 14 1.945568 224.1859 + 15 1.956481 218.2121 + 16 1.967405 212.3975 + 17 1.978340 206.7379 + 18 1.989281 201.2290 + 19 2.000225 195.8669 + 20 2.011171 190.6478 + 21 2.022115 185.5676 + 22 2.033053 180.6229 + 23 2.043984 175.8099 + 24 2.054904 171.1252 + 25 2.065810 166.5653 + 26 2.076700 162.1269 + 27 2.087570 157.8068 + 28 2.098419 153.6017 + 29 2.109243 149.5088 + 30 2.120042 145.5249 + 31 2.130814 141.6471 + 32 2.141560 137.8727 + 33 2.152280 134.1989 + 34 2.162973 130.6229 + 35 2.173639 127.1423 + 36 2.184278 123.7544 + 37 2.194891 120.4567 + 38 2.205476 117.2470 + 39 2.216035 114.1228 + 40 2.226567 111.0818 + 41 2.237072 108.1218 + 42 2.247549 105.2407 + 43 2.258000 102.4364 + 44 2.268423 99.70685 + 45 2.278820 97.05001 + 46 2.289190 94.46396 + 47 2.299536 91.94681 + 48 2.309857 89.49674 + 49 2.320155 87.11196 + 50 2.330431 84.79073 + 51 2.340686 82.53134 + 52 2.350920 80.33216 + 53 2.361135 78.19158 + 54 2.371332 76.10805 + 55 2.381511 74.08003 + 56 2.391673 72.10605 + 57 2.401820 70.18467 + 58 2.411951 68.31448 + 59 2.422066 66.49414 + 60 2.432167 64.72229 + 61 2.442254 62.99767 + 62 2.452326 61.31899 + 63 2.462385 59.68505 + 64 2.472431 58.09465 + 65 2.482465 56.54662 + 66 2.492486 55.03985 + 67 2.502495 53.57322 + 68 2.512492 52.14568 + 69 2.522477 50.75618 + 70 2.532450 49.40370 + 71 2.542412 48.08726 + 72 2.552361 46.80590 + 73 2.562299 45.55868 + 74 2.572224 44.34470 + 75 2.582137 43.16306 + 76 2.592038 42.01291 + 77 2.601927 40.89341 + 78 2.611803 39.80374 + 79 2.621668 38.74311 + 80 2.631520 37.71074 + 81 2.641360 36.70587 + 82 2.651190 35.72779 + 83 2.661012 34.77576 + 84 2.670828 33.84911 + 85 2.680638 32.94714 + 86 2.690443 32.06922 + 87 2.700243 31.21468 + 88 2.710040 30.38292 + 89 2.719831 29.57331 + 90 2.729616 28.78529 + 91 2.739393 28.01826 + 92 2.749162 27.27167 + 93 2.758922 26.54497 + 94 2.768672 25.83764 + 95 2.778411 25.14915 + 96 2.788141 24.47901 + 97 2.797862 23.82673 + 98 2.807576 23.19183 + 99 2.817286 22.57385 +100 2.826995 21.97233 +101 2.836704 21.38684 +102 2.846416 20.81696 +103 2.856133 20.26226 +104 2.865859 19.72234 +105 2.875595 19.19680 +106 2.885342 18.68527 +107 2.895103 18.18737 +108 2.904879 17.70274 +109 2.914671 17.23103 +110 2.924482 16.77188 +111 2.934313 16.32496 +112 2.944165 15.88996 +113 2.954041 15.46655 +114 2.963942 15.05442 +115 2.973870 14.65327 +116 2.983826 14.26281 +117 2.993814 13.88275 +118 3.003834 13.51282 +119 3.013889 13.15275 +120 3.023982 12.80228 +121 3.034116 12.46114 +122 3.044292 12.12909 +123 3.054515 11.80589 +124 3.064786 11.49131 +125 3.075110 11.18510 +126 3.085489 10.88706 +127 3.095926 10.59696 +128 3.106426 10.31458 +129 3.116992 10.03973 +130 3.127628 9.772210 +131 3.138335 9.511814 +132 3.149117 9.258356 +133 3.159975 9.011653 +134 3.170914 8.771523 +135 3.181934 8.537792 +136 3.193041 8.310289 +137 3.204236 8.088848 +138 3.215520 7.873308 +139 3.226896 7.663511 +140 3.238365 7.459304 +141 3.249927 7.260539 +142 3.261584 7.067071 +143 3.273338 6.878757 +144 3.285189 6.695462 +145 3.297143 6.517051 +146 3.309203 6.343394 +147 3.321374 6.174364 +148 3.333659 6.009838 +149 3.346064 5.849696 +150 3.358595 5.693822 +151 3.371255 5.542101 +152 3.384051 5.394423 +153 3.396986 5.250680 +154 3.410064 5.110767 +155 3.423287 4.974583 +156 3.436657 4.842027 +157 3.450178 4.713004 +158 3.463852 4.587418 +159 3.477681 4.465179 +160 3.491668 4.346197 +161 3.505816 4.230386 +162 3.520128 4.117661 +163 3.534606 4.007939 +164 3.549255 3.901141 +165 3.564080 3.797189 +166 3.579085 3.696007 +167 3.594276 3.597521 +168 3.609662 3.501659 +169 3.625251 3.408352 +170 3.641054 3.317531 +171 3.657080 3.229130 +172 3.673339 3.143085 +173 3.689842 3.059332 +174 3.706593 2.977812 +175 3.723595 2.898463 +176 3.740851 2.821229 +177 3.758361 2.746053 +178 3.776128 2.672880 +179 3.794152 2.601657 +180 3.812436 2.532331 +181 3.830986 2.464853 +182 3.849811 2.399173 +183 3.868921 2.335244 +184 3.888325 2.273017 +185 3.908031 2.212449 +186 3.928048 2.153495 +187 3.948377 2.096112 +188 3.969005 2.040258 +189 3.989918 1.985892 +190 4.011113 1.932974 +191 4.032619 1.881467 +192 4.054467 1.831333 +193 4.076693 1.782534 +194 4.099334 1.735035 +195 4.122410 1.688803 +196 4.145927 1.643802 +197 4.169884 1.600000 +198 4.294789 1.400000 +199 4.453594 1.200000 diff --git a/2023-06-22/X199831.340 b/2023-06-22/X199831.340 new file mode 100644 index 0000000..e058524 --- /dev/null +++ b/2023-06-22/X199831.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD 2023-06-22 +Serial Number: X199831 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.43262,303.639 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.851530 330.0000 + 2 1.877664 310.0000 + 3 1.889062 301.7396 + 4 1.900540 293.6992 + 5 1.912083 285.8731 + 6 1.923685 278.2556 + 7 1.935342 270.8410 + 8 1.947047 263.6240 + 9 1.958796 256.5994 + 10 1.970582 249.7619 + 11 1.982400 243.1066 + 12 1.994246 236.6286 + 13 2.006119 230.3233 + 14 2.018015 224.1859 + 15 2.029932 218.2121 + 16 2.041867 212.3975 + 17 2.053818 206.7379 + 18 2.065782 201.2290 + 19 2.077755 195.8669 + 20 2.089736 190.6478 + 21 2.101721 185.5676 + 22 2.113708 180.6229 + 23 2.125694 175.8099 + 24 2.137675 171.1252 + 25 2.149650 166.5653 + 26 2.161616 162.1269 + 27 2.173570 157.8068 + 28 2.185512 153.6017 + 29 2.197440 149.5088 + 30 2.209355 145.5249 + 31 2.221252 141.6471 + 32 2.233125 137.8727 + 33 2.244968 134.1989 + 34 2.256777 130.6229 + 35 2.268553 127.1423 + 36 2.280294 123.7544 + 37 2.292003 120.4567 + 38 2.303684 117.2470 + 39 2.315342 114.1228 + 40 2.326982 111.0818 + 41 2.338605 108.1218 + 42 2.350210 105.2407 + 43 2.361797 102.4364 + 44 2.373364 99.70685 + 45 2.384911 97.05001 + 46 2.396438 94.46396 + 47 2.407945 91.94681 + 48 2.419433 89.49674 + 49 2.430902 87.11196 + 50 2.442353 84.79073 + 51 2.453786 82.53134 + 52 2.465201 80.33216 + 53 2.476598 78.19158 + 54 2.487978 76.10805 + 55 2.499343 74.08003 + 56 2.510695 72.10605 + 57 2.522033 70.18467 + 58 2.533360 68.31448 + 59 2.544675 66.49414 + 60 2.555981 64.72229 + 61 2.567277 62.99767 + 62 2.578564 61.31899 + 63 2.589844 59.68505 + 64 2.601118 58.09465 + 65 2.612385 56.54662 + 66 2.623648 55.03985 + 67 2.634906 53.57322 + 68 2.646159 52.14568 + 69 2.657408 50.75618 + 70 2.668649 49.40370 + 71 2.679884 48.08726 + 72 2.691112 46.80590 + 73 2.702331 45.55868 + 74 2.713540 44.34470 + 75 2.724741 43.16306 + 76 2.735933 42.01291 + 77 2.747115 40.89341 + 78 2.758288 39.80374 + 79 2.769451 38.74311 + 80 2.780605 37.71074 + 81 2.791750 36.70587 + 82 2.802888 35.72779 + 83 2.814020 34.77576 + 84 2.825149 33.84911 + 85 2.836276 32.94714 + 86 2.847403 32.06922 + 87 2.858532 31.21468 + 88 2.869665 30.38292 + 89 2.880800 29.57331 + 90 2.891937 28.78529 + 91 2.903075 28.01826 + 92 2.914213 27.27167 + 93 2.925352 26.54497 + 94 2.936490 25.83764 + 95 2.947627 25.14915 + 96 2.958763 24.47901 + 97 2.969898 23.82673 + 98 2.981033 23.19183 + 99 2.992171 22.57385 +100 3.003313 21.97233 +101 3.014461 21.38684 +102 3.025618 20.81696 +103 3.036786 20.26226 +104 3.047966 19.72234 +105 3.059161 19.19680 +106 3.070374 18.68527 +107 3.081607 18.18737 +108 3.092863 17.70274 +109 3.104145 17.23103 +110 3.115456 16.77188 +111 3.126797 16.32496 +112 3.138173 15.88996 +113 3.149584 15.46655 +114 3.161035 15.05442 +115 3.172528 14.65327 +116 3.184066 14.26281 +117 3.195653 13.88275 +118 3.207290 13.51282 +119 3.218977 13.15275 +120 3.230713 12.80228 +121 3.242499 12.46114 +122 3.254332 12.12909 +123 3.266213 11.80589 +124 3.278142 11.49131 +125 3.290124 11.18510 +126 3.302165 10.88706 +127 3.314272 10.59696 +128 3.326453 10.31458 +129 3.338714 10.03973 +130 3.351063 9.772210 +131 3.363505 9.511814 +132 3.376040 9.258356 +133 3.388671 9.011653 +134 3.401400 8.771523 +135 3.414229 8.537792 +136 3.427161 8.310289 +137 3.440197 8.088848 +138 3.453340 7.873308 +139 3.466593 7.663511 +140 3.479958 7.459304 +141 3.493439 7.260539 +142 3.507038 7.067071 +143 3.520758 6.878757 +144 3.534602 6.695462 +145 3.548576 6.517051 +146 3.562683 6.343394 +147 3.576928 6.174364 +148 3.591316 6.009838 +149 3.605852 5.849696 +150 3.620542 5.693822 +151 3.635393 5.542101 +152 3.650409 5.394423 +153 3.665594 5.250680 +154 3.680953 5.110767 +155 3.696489 4.974583 +156 3.712204 4.842027 +157 3.728102 4.713004 +158 3.744186 4.587418 +159 3.760459 4.465179 +160 3.776925 4.346197 +161 3.793586 4.230386 +162 3.810446 4.117661 +163 3.827509 4.007939 +164 3.844779 3.901141 +165 3.862264 3.797189 +166 3.879967 3.696007 +167 3.897896 3.597521 +168 3.916064 3.501659 +169 3.934483 3.408352 +170 3.953165 3.317531 +171 3.972124 3.229130 +172 3.991375 3.143085 +173 4.010932 3.059332 +174 4.030799 2.977812 +175 4.050979 2.898463 +176 4.071473 2.821229 +177 4.092281 2.746053 +178 4.113402 2.672880 +179 4.134835 2.601657 +180 4.156583 2.532331 +181 4.178664 2.464853 +182 4.201100 2.399173 +183 4.223914 2.335244 +184 4.247099 2.273017 +185 4.270632 2.212449 +186 4.294489 2.153495 +187 4.318679 2.096112 +188 4.343245 2.040258 +189 4.368237 1.985892 +190 4.393685 1.932974 +191 4.419580 1.881467 +192 4.445904 1.831333 +193 4.472639 1.782534 +194 4.499787 1.735035 +195 4.527376 1.688803 +196 4.555438 1.643802 +197 4.584006 1.600000 +198 4.733935 1.400000 +199 4.925978 1.200000 diff --git a/2023-06-27/X189664.340 b/2023-06-27/X189664.340 new file mode 100644 index 0000000..b2d1035 --- /dev/null +++ b/2023-06-27/X189664.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU 2023-06-27 +Serial Number: X189664 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.46705,309.208 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.805762 330.0000 + 2 1.829987 310.0000 + 3 1.840581 301.7396 + 4 1.851224 293.6992 + 5 1.861927 285.8731 + 6 1.872686 278.2556 + 7 1.883494 270.8410 + 8 1.894347 263.6240 + 9 1.905239 256.5994 + 10 1.916164 249.7619 + 11 1.927117 243.1066 + 12 1.938094 236.6286 + 13 1.949092 230.3233 + 14 1.960110 224.1859 + 15 1.971143 218.2121 + 16 1.982189 212.3975 + 17 1.993245 206.7379 + 18 2.004308 201.2290 + 19 2.015375 195.8669 + 20 2.026443 190.6478 + 21 2.037510 185.5676 + 22 2.048572 180.6229 + 23 2.059625 175.8099 + 24 2.070668 171.1252 + 25 2.081697 166.5653 + 26 2.092710 162.1269 + 27 2.103704 157.8068 + 28 2.114675 153.6017 + 29 2.125623 149.5088 + 30 2.136545 145.5249 + 31 2.147440 141.6471 + 32 2.158309 137.8727 + 33 2.169152 134.1989 + 34 2.179968 130.6229 + 35 2.190758 127.1423 + 36 2.201521 123.7544 + 37 2.212258 120.4567 + 38 2.222968 117.2470 + 39 2.233651 114.1228 + 40 2.244307 111.0818 + 41 2.254937 108.1218 + 42 2.265540 105.2407 + 43 2.276116 102.4364 + 44 2.286666 99.70685 + 45 2.297189 97.05001 + 46 2.307686 94.46396 + 47 2.318159 91.94681 + 48 2.328609 89.49674 + 49 2.339035 87.11196 + 50 2.349440 84.79073 + 51 2.359825 82.53134 + 52 2.370189 80.33216 + 53 2.380535 78.19158 + 54 2.390863 76.10805 + 55 2.401175 74.08003 + 56 2.411470 72.10605 + 57 2.421749 70.18467 + 58 2.432013 68.31448 + 59 2.442262 66.49414 + 60 2.452495 64.72229 + 61 2.462715 62.99767 + 62 2.472919 61.31899 + 63 2.483110 59.68505 + 64 2.493288 58.09465 + 65 2.503451 56.54662 + 66 2.513602 55.03985 + 67 2.523740 53.57322 + 68 2.533865 52.14568 + 69 2.543978 50.75618 + 70 2.554078 49.40370 + 71 2.564167 48.08726 + 72 2.574245 46.80590 + 73 2.584311 45.55868 + 74 2.594366 44.34470 + 75 2.604411 43.16306 + 76 2.614445 42.01291 + 77 2.624469 40.89341 + 78 2.634483 39.80374 + 79 2.644487 38.74311 + 80 2.654482 37.71074 + 81 2.664467 36.70587 + 82 2.674446 35.72779 + 83 2.684417 34.77576 + 84 2.694384 33.84911 + 85 2.704345 32.94714 + 86 2.714299 32.06922 + 87 2.724244 31.21468 + 88 2.734181 30.38292 + 89 2.744108 29.57331 + 90 2.754027 28.78529 + 91 2.763938 28.01826 + 92 2.773840 27.27167 + 93 2.783735 26.54497 + 94 2.793622 25.83764 + 95 2.803502 25.14915 + 96 2.813375 24.47901 + 97 2.823241 23.82673 + 98 2.833102 23.19183 + 99 2.842961 22.57385 +100 2.852820 21.97233 +101 2.862681 21.38684 +102 2.872547 20.81696 +103 2.882419 20.26226 +104 2.892300 19.72234 +105 2.902191 19.19680 +106 2.912096 18.68527 +107 2.922015 18.18737 +108 2.931950 17.70274 +109 2.941904 17.23103 +110 2.951876 16.77188 +111 2.961871 16.32496 +112 2.971888 15.88996 +113 2.981929 15.46655 +114 2.991997 15.05442 +115 3.002094 14.65327 +116 3.012221 14.26281 +117 3.022380 13.88275 +118 3.032573 13.51282 +119 3.042804 13.15275 +120 3.053077 12.80228 +121 3.063394 12.46114 +122 3.073761 12.12909 +123 3.084181 11.80589 +124 3.094659 11.49131 +125 3.105195 11.18510 +126 3.115782 10.88706 +127 3.126407 10.59696 +128 3.137060 10.31458 +129 3.147750 10.03973 +130 3.158517 9.772210 +131 3.169406 9.511814 +132 3.180443 9.258356 +133 3.191605 9.011653 +134 3.202851 8.771523 +135 3.214145 8.537792 +136 3.225482 8.310289 +137 3.236881 8.088848 +138 3.248360 7.873308 +139 3.259932 7.663511 +140 3.271600 7.459304 +141 3.283369 7.260539 +142 3.295241 7.067071 +143 3.307219 6.878757 +144 3.319306 6.695462 +145 3.331506 6.517051 +146 3.343822 6.343394 +147 3.356256 6.174364 +148 3.368813 6.009838 +149 3.381497 5.849696 +150 3.394312 5.693822 +151 3.407261 5.542101 +152 3.420350 5.394423 +153 3.433580 5.250680 +154 3.446955 5.110767 +155 3.460476 4.974583 +156 3.474147 4.842027 +157 3.487970 4.713004 +158 3.501948 4.587418 +159 3.516086 4.465179 +160 3.530387 4.346197 +161 3.544853 4.230386 +162 3.559489 4.117661 +163 3.574299 4.007939 +164 3.589288 3.901141 +165 3.604462 3.797189 +166 3.619827 3.696007 +167 3.635388 3.597521 +168 3.651152 3.501659 +169 3.667125 3.408352 +170 3.683315 3.317531 +171 3.699727 3.229130 +172 3.716370 3.143085 +173 3.733250 3.059332 +174 3.750373 2.977812 +175 3.767747 2.898463 +176 3.785376 2.821229 +177 3.803268 2.746053 +178 3.821429 2.672880 +179 3.839866 2.601657 +180 3.858584 2.532331 +181 3.877590 2.464853 +182 3.896891 2.399173 +183 3.916491 2.335244 +184 3.936390 2.273017 +185 3.956588 2.212449 +186 3.977081 2.153495 +187 3.997870 2.096112 +188 4.018960 2.040258 +189 4.040351 1.985892 +190 4.062050 1.932974 +191 4.084083 1.881467 +192 4.106479 1.831333 +193 4.129272 1.782534 +194 4.152495 1.735035 +195 4.176187 1.688803 +196 4.200388 1.643802 +197 4.225091 1.600000 +198 4.358653 1.400000 +199 4.543699 1.200000 diff --git a/2023-06-27/X189665.340 b/2023-06-27/X189665.340 new file mode 100644 index 0000000..1f9a0ac --- /dev/null +++ b/2023-06-27/X189665.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU 2023-06-27 +Serial Number: X189665 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.46249,309.15 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.803462 330.0000 + 2 1.827622 310.0000 + 3 1.838181 301.7396 + 4 1.848794 293.6992 + 5 1.859468 285.8731 + 6 1.870196 278.2556 + 7 1.880974 270.8410 + 8 1.891797 263.6240 + 9 1.902657 256.5994 + 10 1.913551 249.7619 + 11 1.924472 243.1066 + 12 1.935418 236.6286 + 13 1.946385 230.3233 + 14 1.957371 224.1859 + 15 1.968374 218.2121 + 16 1.979390 212.3975 + 17 1.990416 206.7379 + 18 2.001450 201.2290 + 19 2.012488 195.8669 + 20 2.023529 190.6478 + 21 2.034568 185.5676 + 22 2.045603 180.6229 + 23 2.056632 175.8099 + 24 2.067651 171.1252 + 25 2.078657 166.5653 + 26 2.089648 162.1269 + 27 2.100620 157.8068 + 28 2.111573 153.6017 + 29 2.122502 149.5088 + 30 2.133406 145.5249 + 31 2.144284 141.6471 + 32 2.155137 137.8727 + 33 2.165964 134.1989 + 34 2.176765 130.6229 + 35 2.187541 127.1423 + 36 2.198290 123.7544 + 37 2.209012 120.4567 + 38 2.219708 117.2470 + 39 2.230378 114.1228 + 40 2.241021 111.0818 + 41 2.251637 108.1218 + 42 2.262227 105.2407 + 43 2.272789 102.4364 + 44 2.283324 99.70685 + 45 2.293833 97.05001 + 46 2.304315 94.46396 + 47 2.314773 91.94681 + 48 2.325206 89.49674 + 49 2.335616 87.11196 + 50 2.346004 84.79073 + 51 2.356370 82.53134 + 52 2.366716 80.33216 + 53 2.377042 78.19158 + 54 2.387349 76.10805 + 55 2.397638 74.08003 + 56 2.407911 72.10605 + 57 2.418168 70.18467 + 58 2.428410 68.31448 + 59 2.438636 66.49414 + 60 2.448848 64.72229 + 61 2.459046 62.99767 + 62 2.469230 61.31899 + 63 2.479401 59.68505 + 64 2.489559 58.09465 + 65 2.499705 56.54662 + 66 2.509840 55.03985 + 67 2.519963 53.57322 + 68 2.530075 52.14568 + 69 2.540175 50.75618 + 70 2.550264 49.40370 + 71 2.560340 48.08726 + 72 2.570405 46.80590 + 73 2.580458 45.55868 + 74 2.590499 44.34470 + 75 2.600527 43.16306 + 76 2.610542 42.01291 + 77 2.620545 40.89341 + 78 2.630535 39.80374 + 79 2.640511 38.74311 + 80 2.650475 37.71074 + 81 2.660427 36.70587 + 82 2.670372 35.72779 + 83 2.680316 34.77576 + 84 2.690264 33.84911 + 85 2.700212 32.94714 + 86 2.710157 32.06922 + 87 2.720092 31.21468 + 88 2.730015 30.38292 + 89 2.739928 29.57331 + 90 2.749829 28.78529 + 91 2.759721 28.01826 + 92 2.769604 27.27167 + 93 2.779478 26.54497 + 94 2.789344 25.83764 + 95 2.799203 25.14915 + 96 2.809054 24.47901 + 97 2.818899 23.82673 + 98 2.828740 23.19183 + 99 2.838577 22.57385 +100 2.848415 21.97233 +101 2.858254 21.38684 +102 2.868097 20.81696 +103 2.877947 20.26226 +104 2.887806 19.72234 +105 2.897675 19.19680 +106 2.907557 18.68527 +107 2.917453 18.18737 +108 2.927365 17.70274 +109 2.937295 17.23103 +110 2.947245 16.77188 +111 2.957216 16.32496 +112 2.967210 15.88996 +113 2.977229 15.46655 +114 2.987274 15.05442 +115 2.997348 14.65327 +116 3.007453 14.26281 +117 3.017591 13.88275 +118 3.027763 13.51282 +119 3.037972 13.15275 +120 3.048221 12.80228 +121 3.058511 12.46114 +122 3.068846 12.12909 +123 3.079227 11.80589 +124 3.089659 11.49131 +125 3.100143 11.18510 +126 3.110683 10.88706 +127 3.121282 10.59696 +128 3.131944 10.31458 +129 3.142672 10.03973 +130 3.153470 9.772210 +131 3.164338 9.511814 +132 3.175280 9.258356 +133 3.186306 9.011653 +134 3.197425 8.771523 +135 3.208649 8.537792 +136 3.219975 8.310289 +137 3.231395 8.088848 +138 3.242899 7.873308 +139 3.254481 7.663511 +140 3.266146 7.459304 +141 3.277899 7.260539 +142 3.289745 7.067071 +143 3.301690 6.878757 +144 3.313739 6.695462 +145 3.325897 6.517051 +146 3.338170 6.343394 +147 3.350561 6.174364 +148 3.363073 6.009838 +149 3.375711 5.849696 +150 3.388480 5.693822 +151 3.401383 5.542101 +152 3.414425 5.394423 +153 3.427609 5.250680 +154 3.440937 5.110767 +155 3.454413 4.974583 +156 3.468040 4.842027 +157 3.481820 4.713004 +158 3.495757 4.587418 +159 3.509855 4.465179 +160 3.524117 4.346197 +161 3.538547 4.230386 +162 3.553148 4.117661 +163 3.567925 4.007939 +164 3.582884 3.901141 +165 3.598031 3.797189 +166 3.613371 3.696007 +167 3.628910 3.597521 +168 3.644655 3.501659 +169 3.660613 3.408352 +170 3.676790 3.317531 +171 3.693194 3.229130 +172 3.709831 3.143085 +173 3.726707 3.059332 +174 3.743829 2.977812 +175 3.761202 2.898463 +176 3.778832 2.821229 +177 3.796725 2.746053 +178 3.814887 2.672880 +179 3.833323 2.601657 +180 3.852040 2.532331 +181 3.871042 2.464853 +182 3.890335 2.399173 +183 3.909923 2.335244 +184 3.929811 2.273017 +185 3.949999 2.212449 +186 3.970491 2.153495 +187 3.991293 2.096112 +188 4.012412 2.040258 +189 4.033858 1.985892 +190 4.055640 1.932974 +191 4.077773 1.881467 +192 4.100277 1.831333 +193 4.123171 1.782534 +194 4.146473 1.735035 +195 4.170206 1.688803 +196 4.194393 1.643802 +197 4.219044 1.600000 +198 4.347389 1.400000 +199 4.510546 1.200000 diff --git a/2023-06-27/X189667.340 b/2023-06-27/X189667.340 new file mode 100644 index 0000000..a0d1e1d --- /dev/null +++ b/2023-06-27/X189667.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU 2023-06-27 +Serial Number: X189667 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.46213,309.02 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.815969 330.0000 + 2 1.840536 310.0000 + 3 1.851268 301.7396 + 4 1.862058 293.6992 + 5 1.872907 285.8731 + 6 1.883811 278.2556 + 7 1.894764 270.8410 + 8 1.905761 263.6240 + 9 1.916796 256.5994 + 10 1.927864 249.7619 + 11 1.938960 243.1066 + 12 1.950080 236.6286 + 13 1.961222 230.3233 + 14 1.972384 224.1859 + 15 1.983562 218.2121 + 16 1.994755 212.3975 + 17 2.005959 206.7379 + 18 2.017171 201.2290 + 19 2.028390 195.8669 + 20 2.039612 190.6478 + 21 2.050834 185.5676 + 22 2.062054 180.6229 + 23 2.073269 175.8099 + 24 2.084476 171.1252 + 25 2.095673 166.5653 + 26 2.106857 162.1269 + 27 2.118024 157.8068 + 28 2.129173 153.6017 + 29 2.140300 149.5088 + 30 2.151402 145.5249 + 31 2.162480 141.6471 + 32 2.173531 137.8727 + 33 2.184557 134.1989 + 34 2.195555 130.6229 + 35 2.206523 127.1423 + 36 2.217461 123.7544 + 37 2.228367 120.4567 + 38 2.239246 117.2470 + 39 2.250098 114.1228 + 40 2.260925 111.0818 + 41 2.271729 108.1218 + 42 2.282507 105.2407 + 43 2.293262 102.4364 + 44 2.303991 99.70685 + 45 2.314696 97.05001 + 46 2.325377 94.46396 + 47 2.336036 91.94681 + 48 2.346672 89.49674 + 49 2.357287 87.11196 + 50 2.367881 84.79073 + 51 2.378456 82.53134 + 52 2.389013 80.33216 + 53 2.399551 78.19158 + 54 2.410073 76.10805 + 55 2.420578 74.08003 + 56 2.431069 72.10605 + 57 2.441545 70.18467 + 58 2.452006 68.31448 + 59 2.462453 66.49414 + 60 2.472887 64.72229 + 61 2.483307 62.99767 + 62 2.493714 61.31899 + 63 2.504108 59.68505 + 64 2.514490 58.09465 + 65 2.524859 56.54662 + 66 2.535217 55.03985 + 67 2.545563 53.57322 + 68 2.555899 52.14568 + 69 2.566223 50.75618 + 70 2.576537 49.40370 + 71 2.586840 48.08726 + 72 2.597134 46.80590 + 73 2.607418 45.55868 + 74 2.617692 44.34470 + 75 2.627958 43.16306 + 76 2.638215 42.01291 + 77 2.648463 40.89341 + 78 2.658703 39.80374 + 79 2.668935 38.74311 + 80 2.679159 37.71074 + 81 2.689376 36.70587 + 82 2.699585 35.72779 + 83 2.709787 34.77576 + 84 2.719980 33.84911 + 85 2.730166 32.94714 + 86 2.740343 32.06922 + 87 2.750513 31.21468 + 88 2.760675 30.38292 + 89 2.770830 29.57331 + 90 2.780977 28.78529 + 91 2.791119 28.01826 + 92 2.801253 27.27167 + 93 2.811382 26.54497 + 94 2.821505 25.83764 + 95 2.831622 25.14915 + 96 2.841734 24.47901 + 97 2.851842 23.82673 + 98 2.861946 23.19183 + 99 2.872049 22.57385 +100 2.882153 21.97233 +101 2.892261 21.38684 +102 2.902374 20.81696 +103 2.912496 20.26226 +104 2.922627 19.72234 +105 2.932771 19.19680 +106 2.942929 18.68527 +107 2.953103 18.18737 +108 2.963295 17.70274 +109 2.973507 17.23103 +110 2.983740 16.77188 +111 2.993998 16.32496 +112 3.004280 15.88996 +113 3.014590 15.46655 +114 3.024929 15.05442 +115 3.035300 14.65327 +116 3.045705 14.26281 +117 3.056145 13.88275 +118 3.066623 13.51282 +119 3.077141 13.15275 +120 3.087703 12.80228 +121 3.098309 12.46114 +122 3.108964 12.12909 +123 3.119669 11.80589 +124 3.130428 11.49131 +125 3.141244 11.18510 +126 3.152120 10.88706 +127 3.163059 10.59696 +128 3.174065 10.31458 +129 3.185142 10.03973 +130 3.196292 9.772210 +131 3.207519 9.511814 +132 3.218822 9.258356 +133 3.230205 9.011653 +134 3.241670 8.771523 +135 3.253218 8.537792 +136 3.264854 8.310289 +137 3.276579 8.088848 +138 3.288396 7.873308 +139 3.300308 7.663511 +140 3.312318 7.459304 +141 3.324431 7.260539 +142 3.336648 7.067071 +143 3.348974 6.878757 +144 3.361413 6.695462 +145 3.373966 6.517051 +146 3.386639 6.343394 +147 3.399435 6.174364 +148 3.412358 6.009838 +149 3.425412 5.849696 +150 3.438602 5.693822 +151 3.451933 5.542101 +152 3.465409 5.394423 +153 3.479033 5.250680 +154 3.492809 5.110767 +155 3.506740 4.974583 +156 3.520828 4.842027 +157 3.535077 4.713004 +158 3.549491 4.587418 +159 3.564072 4.465179 +160 3.578824 4.346197 +161 3.593752 4.230386 +162 3.608857 4.117661 +163 3.624146 4.007939 +164 3.639623 3.901141 +165 3.655294 3.797189 +166 3.671166 3.696007 +167 3.687243 3.597521 +168 3.703533 3.501659 +169 3.720041 3.408352 +170 3.736776 3.317531 +171 3.753744 3.229130 +172 3.770952 3.143085 +173 3.788408 3.059332 +174 3.806117 2.977812 +175 3.824087 2.898463 +176 3.842323 2.821229 +177 3.860831 2.746053 +178 3.879619 2.672880 +179 3.898692 2.601657 +180 3.918057 2.532331 +181 3.937720 2.464853 +182 3.957686 2.399173 +183 3.977962 2.335244 +184 3.998551 2.273017 +185 4.019458 2.212449 +186 4.040686 2.153495 +187 4.062244 2.096112 +188 4.084141 2.040258 +189 4.106387 1.985892 +190 4.128994 1.932974 +191 4.151972 1.881467 +192 4.175333 1.831333 +193 4.199087 1.782534 +194 4.223248 1.735035 +195 4.247826 1.688803 +196 4.272835 1.643802 +197 4.298291 1.600000 +198 4.431385 1.400000 +199 4.601214 1.200000 diff --git a/2023-06-27/X189668.340 b/2023-06-27/X189668.340 new file mode 100644 index 0000000..cb1d3d3 --- /dev/null +++ b/2023-06-27/X189668.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU 2023-06-27 +Serial Number: X189668 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.46229,309.087 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.797753 330.0000 + 2 1.821680 310.0000 + 3 1.832140 301.7396 + 4 1.842652 293.6992 + 5 1.853225 285.8731 + 6 1.863852 278.2556 + 7 1.874530 270.8410 + 8 1.885252 263.6240 + 9 1.896013 256.5994 + 10 1.906807 249.7619 + 11 1.917629 243.1066 + 12 1.928475 236.6286 + 13 1.939342 230.3233 + 14 1.950229 224.1859 + 15 1.961131 218.2121 + 16 1.972046 212.3975 + 17 1.982972 206.7379 + 18 1.993904 201.2290 + 19 2.004841 195.8669 + 20 2.015779 190.6478 + 21 2.026715 185.5676 + 22 2.037646 180.6229 + 23 2.048570 175.8099 + 24 2.059482 171.1252 + 25 2.070382 166.5653 + 26 2.081264 162.1269 + 27 2.092128 157.8068 + 28 2.102969 153.6017 + 29 2.113787 149.5088 + 30 2.124579 145.5249 + 31 2.135344 141.6471 + 32 2.146083 137.8727 + 33 2.156796 134.1989 + 34 2.167481 130.6229 + 35 2.178140 127.1423 + 36 2.188773 123.7544 + 37 2.199378 120.4567 + 38 2.209956 117.2470 + 39 2.220508 114.1228 + 40 2.231032 111.0818 + 41 2.241529 108.1218 + 42 2.251999 105.2407 + 43 2.262441 102.4364 + 44 2.272857 99.70685 + 45 2.283245 97.05001 + 46 2.293607 94.46396 + 47 2.303943 91.94681 + 48 2.314256 89.49674 + 49 2.324545 87.11196 + 50 2.334811 84.79073 + 51 2.345056 82.53134 + 52 2.355280 80.33216 + 53 2.365485 78.19158 + 54 2.375671 76.10805 + 55 2.385839 74.08003 + 56 2.395990 72.10605 + 57 2.406126 70.18467 + 58 2.416246 68.31448 + 59 2.426350 66.49414 + 60 2.436440 64.72229 + 61 2.446516 62.99767 + 62 2.456578 61.31899 + 63 2.466627 59.68505 + 64 2.476663 58.09465 + 65 2.486687 56.54662 + 66 2.496699 55.03985 + 67 2.506699 53.57322 + 68 2.516688 52.14568 + 69 2.526665 50.75618 + 70 2.536630 49.40370 + 71 2.546583 48.08726 + 72 2.556523 46.80590 + 73 2.566450 45.55868 + 74 2.576365 44.34470 + 75 2.586266 43.16306 + 76 2.596154 42.01291 + 77 2.606028 40.89341 + 78 2.615889 39.80374 + 79 2.625735 38.74311 + 80 2.635567 37.71074 + 81 2.645386 36.70587 + 82 2.655196 35.72779 + 83 2.665002 34.77576 + 84 2.674808 33.84911 + 85 2.684614 32.94714 + 86 2.694417 32.06922 + 87 2.704216 31.21468 + 88 2.714008 30.38292 + 89 2.723794 29.57331 + 90 2.733572 28.78529 + 91 2.743340 28.01826 + 92 2.753100 27.27167 + 93 2.762849 26.54497 + 94 2.772587 25.83764 + 95 2.782314 25.14915 + 96 2.792031 24.47901 + 97 2.801738 23.82673 + 98 2.811438 23.19183 + 99 2.821133 22.57385 +100 2.830825 21.97233 +101 2.840519 21.38684 +102 2.850215 20.81696 +103 2.859917 20.26226 +104 2.869627 19.72234 +105 2.879347 19.19680 +106 2.889080 18.68527 +107 2.898827 18.18737 +108 2.908590 17.70274 +109 2.918370 17.23103 +110 2.928169 16.77188 +111 2.937989 16.32496 +112 2.947832 15.88996 +113 2.957699 15.46655 +114 2.967592 15.05442 +115 2.977514 14.65327 +116 2.987465 14.26281 +117 2.997448 13.88275 +118 3.007466 13.51282 +119 3.017519 13.15275 +120 3.027611 12.80228 +121 3.037744 12.46114 +122 3.047919 12.12909 +123 3.058141 11.80589 +124 3.068410 11.49131 +125 3.078731 11.18510 +126 3.089106 10.88706 +127 3.099538 10.59696 +128 3.110030 10.31458 +129 3.120586 10.03973 +130 3.131209 9.772210 +131 3.141899 9.511814 +132 3.152661 9.258356 +133 3.163504 9.011653 +134 3.174438 8.771523 +135 3.185473 8.537792 +136 3.196609 8.310289 +137 3.207835 8.088848 +138 3.219140 7.873308 +139 3.230521 7.663511 +140 3.241982 7.459304 +141 3.253528 7.260539 +142 3.265166 7.067071 +143 3.276899 6.878757 +144 3.288736 6.695462 +145 3.300682 6.517051 +146 3.312742 6.343394 +147 3.324918 6.174364 +148 3.337215 6.009838 +149 3.349637 5.849696 +150 3.362186 5.693822 +151 3.374867 5.542101 +152 3.387684 5.394423 +153 3.400639 5.250680 +154 3.413734 5.110767 +155 3.426972 4.974583 +156 3.440355 4.842027 +157 3.453886 4.713004 +158 3.467568 4.587418 +159 3.481406 4.465179 +160 3.495403 4.346197 +161 3.509563 4.230386 +162 3.523889 4.117661 +163 3.538386 4.007939 +164 3.553061 3.901141 +165 3.567918 3.797189 +166 3.582964 3.696007 +167 3.598205 3.597521 +168 3.613648 3.501659 +169 3.629300 3.408352 +170 3.645167 3.317531 +171 3.661256 3.229130 +172 3.677574 3.143085 +173 3.694126 3.059332 +174 3.710919 2.977812 +175 3.727956 2.898463 +176 3.745245 2.821229 +177 3.762790 2.746053 +178 3.780596 2.672880 +179 3.798670 2.601657 +180 3.817015 2.532331 +181 3.835637 2.464853 +182 3.854540 2.399173 +183 3.873729 2.335244 +184 3.893208 2.273017 +185 3.912980 2.212449 +186 3.933051 2.153495 +187 3.953428 2.096112 +188 3.974122 2.040258 +189 3.995143 1.985892 +190 4.016500 1.932974 +191 4.038207 1.881467 +192 4.060275 1.831333 +193 4.082715 1.782534 +194 4.105540 1.735035 +195 4.128763 1.688803 +196 4.152396 1.643802 +197 4.176456 1.600000 +198 4.302224 1.400000 +199 4.462620 1.200000 diff --git a/2024-11-05/X219219.340 b/2024-11-05/X219219.340 new file mode 100644 index 0000000..3814a61 --- /dev/null +++ b/2024-11-05/X219219.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-11-05 +Serial Number: X219219 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.44521,309.735 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.799491 330.0000 + 2 1.823823 310.0000 + 3 1.834464 301.7396 + 4 1.845155 293.6992 + 5 1.855907 285.8731 + 6 1.866714 278.2556 + 7 1.877573 270.8410 + 8 1.888476 263.6240 + 9 1.899419 256.5994 + 10 1.910395 249.7619 + 11 1.921399 243.1066 + 12 1.932428 236.6286 + 13 1.943479 230.3233 + 14 1.954550 224.1859 + 15 1.965636 218.2121 + 16 1.976736 212.3975 + 17 1.987846 206.7379 + 18 1.998964 201.2290 + 19 2.010086 195.8669 + 20 2.021210 190.6478 + 21 2.032332 185.5676 + 22 2.043449 180.6229 + 23 2.054559 175.8099 + 24 2.065659 171.1252 + 25 2.076744 166.5653 + 26 2.087814 162.1269 + 27 2.098865 157.8068 + 28 2.109894 153.6017 + 29 2.120899 149.5088 + 30 2.131879 145.5249 + 31 2.142832 141.6471 + 32 2.153760 137.8727 + 33 2.164661 134.1989 + 34 2.175536 130.6229 + 35 2.186384 127.1423 + 36 2.197206 123.7544 + 37 2.208001 120.4567 + 38 2.218770 117.2470 + 39 2.229512 114.1228 + 40 2.240228 111.0818 + 41 2.250917 108.1218 + 42 2.261579 105.2407 + 43 2.272215 102.4364 + 44 2.282824 99.70685 + 45 2.293406 97.05001 + 46 2.303963 94.46396 + 47 2.314495 91.94681 + 48 2.325004 89.49674 + 49 2.335490 87.11196 + 50 2.345955 84.79073 + 51 2.356399 82.53134 + 52 2.366823 80.33216 + 53 2.377228 78.19158 + 54 2.387616 76.10805 + 55 2.397986 74.08003 + 56 2.408341 72.10605 + 57 2.418680 70.18467 + 58 2.429004 68.31448 + 59 2.439312 66.49414 + 60 2.449606 64.72229 + 61 2.459886 62.99767 + 62 2.470151 61.31899 + 63 2.480402 59.68505 + 64 2.490640 58.09465 + 65 2.500865 56.54662 + 66 2.511077 55.03985 + 67 2.521276 53.57322 + 68 2.531463 52.14568 + 69 2.541638 50.75618 + 70 2.551802 49.40370 + 71 2.561954 48.08726 + 72 2.572094 46.80590 + 73 2.582224 45.55868 + 74 2.592343 44.34470 + 75 2.602452 43.16306 + 76 2.612551 42.01291 + 77 2.622640 40.89341 + 78 2.632720 39.80374 + 79 2.642790 38.74311 + 80 2.652851 37.71074 + 81 2.662904 36.70587 + 82 2.672951 35.72779 + 83 2.682994 34.77576 + 84 2.693034 33.84911 + 85 2.703070 32.94714 + 86 2.713100 32.06922 + 87 2.723120 31.21468 + 88 2.733131 30.38292 + 89 2.743132 29.57331 + 90 2.753124 28.78529 + 91 2.763108 28.01826 + 92 2.773084 27.27167 + 93 2.783052 26.54497 + 94 2.793013 25.83764 + 95 2.802968 25.14915 + 96 2.812916 24.47901 + 97 2.822859 23.82673 + 98 2.832798 23.19183 + 99 2.842734 22.57385 +100 2.852671 21.97233 +101 2.862611 21.38684 +102 2.872555 20.81696 +103 2.882507 20.26226 +104 2.892467 19.72234 +105 2.902439 19.19680 +106 2.912424 18.68527 +107 2.922424 18.18737 +108 2.932441 17.70274 +109 2.942475 17.23103 +110 2.952530 16.77188 +111 2.962607 16.32496 +112 2.972707 15.88996 +113 2.982833 15.46655 +114 2.992986 15.05442 +115 3.003168 14.65327 +116 3.013382 14.26281 +117 3.023628 13.88275 +118 3.033910 13.51282 +119 3.044230 13.15275 +120 3.054590 12.80228 +121 3.064993 12.46114 +122 3.075442 12.12909 +123 3.085939 11.80589 +124 3.096489 11.49131 +125 3.107094 11.18510 +126 3.117757 10.88706 +127 3.128483 10.59696 +128 3.139274 10.31458 +129 3.150136 10.03973 +130 3.161070 9.772210 +131 3.172080 9.511814 +132 3.183167 9.258356 +133 3.194333 9.011653 +134 3.205580 8.771523 +135 3.216910 8.537792 +136 3.228325 8.310289 +137 3.239827 8.088848 +138 3.251419 7.873308 +139 3.263104 7.663511 +140 3.274883 7.459304 +141 3.286760 7.260539 +142 3.298738 7.067071 +143 3.310819 6.878757 +144 3.323007 6.695462 +145 3.335303 6.517051 +146 3.347713 6.343394 +147 3.360239 6.174364 +148 3.372886 6.009838 +149 3.385659 5.849696 +150 3.398562 5.693822 +151 3.411602 5.542101 +152 3.424781 5.394423 +153 3.438105 5.250680 +154 3.451577 5.110767 +155 3.465200 4.974583 +156 3.478979 4.842027 +157 3.492914 4.713004 +158 3.507010 4.587418 +159 3.521270 4.465179 +160 3.535696 4.346197 +161 3.550290 4.230386 +162 3.565057 4.117661 +163 3.579996 4.007939 +164 3.595107 3.901141 +165 3.610386 3.797189 +166 3.625837 3.696007 +167 3.641479 3.597521 +168 3.657342 3.501659 +169 3.673454 3.408352 +170 3.689821 3.317531 +171 3.706432 3.229130 +172 3.723273 3.143085 +173 3.740335 3.059332 +174 3.757629 2.977812 +175 3.775168 2.898463 +176 3.792964 2.821229 +177 3.811026 2.746053 +178 3.829359 2.672880 +179 3.847968 2.601657 +180 3.866859 2.532331 +181 3.886035 2.464853 +182 3.905502 2.399173 +183 3.925265 2.335244 +184 3.945330 2.273017 +185 3.965708 2.212449 +186 3.986407 2.153495 +187 4.007442 2.096112 +188 4.028829 2.040258 +189 4.050586 1.985892 +190 4.072719 1.932974 +191 4.095198 1.881467 +192 4.117983 1.831333 +193 4.141039 1.782534 +194 4.164407 1.735035 +195 4.188165 1.688803 +196 4.212396 1.643802 +197 4.237151 1.600000 +198 4.366594 1.400000 +199 4.531185 1.200000 diff --git a/2024-11-05/X219225.340 b/2024-11-05/X219225.340 new file mode 100644 index 0000000..7798cb9 --- /dev/null +++ b/2024-11-05/X219225.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-11-05 +Serial Number: X219225 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.44569,309.794 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.821252 330.0000 + 2 1.845912 310.0000 + 3 1.856694 301.7396 + 4 1.867536 293.6992 + 5 1.878444 285.8731 + 6 1.889414 278.2556 + 7 1.900439 270.8410 + 8 1.911515 263.6240 + 9 1.922635 256.5994 + 10 1.933795 249.7619 + 11 1.944987 243.1066 + 12 1.956209 236.6286 + 13 1.967458 230.3233 + 14 1.978730 224.1859 + 15 1.990024 218.2121 + 16 2.001336 212.3975 + 17 2.012662 206.7379 + 18 2.024001 201.2290 + 19 2.035348 195.8669 + 20 2.046701 190.6478 + 21 2.058057 185.5676 + 22 2.069412 180.6229 + 23 2.080763 175.8099 + 24 2.092107 171.1252 + 25 2.103441 166.5653 + 26 2.114763 162.1269 + 27 2.126069 157.8068 + 28 2.137356 153.6017 + 29 2.148623 149.5088 + 30 2.159867 145.5249 + 31 2.171088 141.6471 + 32 2.182285 137.8727 + 33 2.193458 134.1989 + 34 2.204608 130.6229 + 35 2.215734 127.1423 + 36 2.226835 123.7544 + 37 2.237913 120.4567 + 38 2.248966 117.2470 + 39 2.259995 114.1228 + 40 2.270999 111.0818 + 41 2.281979 108.1218 + 42 2.292934 105.2407 + 43 2.303864 102.4364 + 44 2.314768 99.70685 + 45 2.325649 97.05001 + 46 2.336505 94.46396 + 47 2.347338 91.94681 + 48 2.358149 89.49674 + 49 2.368939 87.11196 + 50 2.379709 84.79073 + 51 2.390460 82.53134 + 52 2.401193 80.33216 + 53 2.411908 78.19158 + 54 2.422606 76.10805 + 55 2.433290 74.08003 + 56 2.443958 72.10605 + 57 2.454612 70.18467 + 58 2.465253 68.31448 + 59 2.475879 66.49414 + 60 2.486493 64.72229 + 61 2.497093 62.99767 + 62 2.507681 61.31899 + 63 2.518257 59.68505 + 64 2.528820 58.09465 + 65 2.539372 56.54662 + 66 2.549912 55.03985 + 67 2.560441 53.57322 + 68 2.570960 52.14568 + 69 2.581467 50.75618 + 70 2.591965 49.40370 + 71 2.602453 48.08726 + 72 2.612931 46.80590 + 73 2.623400 45.55868 + 74 2.633859 44.34470 + 75 2.644310 43.16306 + 76 2.654753 42.01291 + 77 2.665187 40.89341 + 78 2.675613 39.80374 + 79 2.686032 38.74311 + 80 2.696443 37.71074 + 81 2.706847 36.70587 + 82 2.717243 35.72779 + 83 2.727632 34.77576 + 84 2.738013 33.84911 + 85 2.748386 32.94714 + 86 2.758751 32.06922 + 87 2.769109 31.21468 + 88 2.779459 30.38292 + 89 2.789802 29.57331 + 90 2.800138 28.78529 + 91 2.810467 28.01826 + 92 2.820791 27.27167 + 93 2.831108 26.54497 + 94 2.841419 25.83764 + 95 2.851725 25.14915 + 96 2.862026 24.47901 + 97 2.872322 23.82673 + 98 2.882615 23.19183 + 99 2.892907 22.57385 +100 2.903201 21.97233 +101 2.913498 21.38684 +102 2.923801 20.81696 +103 2.934112 20.26226 +104 2.944434 19.72234 +105 2.954768 19.19680 +106 2.965116 18.68527 +107 2.975481 18.18737 +108 2.985864 17.70274 +109 2.996267 17.23103 +110 3.006692 16.77188 +111 3.017140 16.32496 +112 3.027615 15.88996 +113 3.038116 15.46655 +114 3.048647 15.05442 +115 3.059209 14.65327 +116 3.069805 14.26281 +117 3.080437 13.88275 +118 3.091107 13.51282 +119 3.101817 13.15275 +120 3.112570 12.80228 +121 3.123368 12.46114 +122 3.134215 12.12909 +123 3.145113 11.80589 +124 3.156064 11.49131 +125 3.167074 11.18510 +126 3.178143 10.88706 +127 3.189277 10.59696 +128 3.200479 10.31458 +129 3.211752 10.03973 +130 3.223101 9.772210 +131 3.234526 9.511814 +132 3.246030 9.258356 +133 3.257614 9.011653 +134 3.269281 8.771523 +135 3.281034 8.537792 +136 3.292875 8.310289 +137 3.304807 8.088848 +138 3.316832 7.873308 +139 3.328954 7.663511 +140 3.341175 7.459304 +141 3.353500 7.260539 +142 3.365932 7.067071 +143 3.378474 6.878757 +144 3.391129 6.695462 +145 3.403902 6.517051 +146 3.416795 6.343394 +147 3.429813 6.174364 +148 3.442960 6.009838 +149 3.456240 5.849696 +150 3.469657 5.693822 +151 3.483217 5.542101 +152 3.496925 5.394423 +153 3.510782 5.250680 +154 3.524793 5.110767 +155 3.538960 4.974583 +156 3.553286 4.842027 +157 3.567776 4.713004 +158 3.582432 4.587418 +159 3.597258 4.465179 +160 3.612257 4.346197 +161 3.627434 4.230386 +162 3.642791 4.117661 +163 3.658335 4.007939 +164 3.674070 3.901141 +165 3.690002 3.797189 +166 3.706138 3.696007 +167 3.722483 3.597521 +168 3.739044 3.501659 +169 3.755829 3.408352 +170 3.772844 3.317531 +171 3.790096 3.229130 +172 3.807594 3.143085 +173 3.825345 3.059332 +174 3.843355 2.977812 +175 3.861631 2.898463 +176 3.880180 2.821229 +177 3.899008 2.746053 +178 3.918122 2.672880 +179 3.937529 2.601657 +180 3.957237 2.532331 +181 3.977250 2.464853 +182 3.997576 2.399173 +183 4.018221 2.335244 +184 4.039191 2.273017 +185 4.060491 2.212449 +186 4.082127 2.153495 +187 4.104111 2.096112 +188 4.126454 2.040258 +189 4.149170 1.985892 +190 4.172261 1.932974 +191 4.195702 1.881467 +192 4.219458 1.831333 +193 4.243500 1.782534 +194 4.267879 1.735035 +195 4.292686 1.688803 +196 4.318018 1.643802 +197 4.343929 1.600000 +198 4.479270 1.400000 +199 4.651044 1.200000 diff --git a/2024-11-05/X219231.340 b/2024-11-05/X219231.340 new file mode 100644 index 0000000..e42cea8 --- /dev/null +++ b/2024-11-05/X219231.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-11-05 +Serial Number: X219231 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.4454,309.764 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.834818 330.0000 + 2 1.860527 310.0000 + 3 1.871735 301.7396 + 4 1.883007 293.6992 + 5 1.894332 285.8731 + 6 1.905707 278.2556 + 7 1.917132 270.8410 + 8 1.928603 263.6240 + 9 1.940120 256.5994 + 10 1.951679 249.7619 + 11 1.963280 243.1066 + 12 1.974921 236.6286 + 13 1.986606 230.3233 + 14 1.998332 224.1859 + 15 2.010100 218.2121 + 16 2.021904 212.3975 + 17 2.033714 206.7379 + 18 2.045489 201.2290 + 19 2.057193 195.8669 + 20 2.068826 190.6478 + 21 2.080426 185.5676 + 22 2.092031 180.6229 + 23 2.103666 175.8099 + 24 2.115327 171.1252 + 25 2.127006 166.5653 + 26 2.138695 162.1269 + 27 2.150387 157.8068 + 28 2.162072 153.6017 + 29 2.173744 149.5088 + 30 2.185395 145.5249 + 31 2.197020 141.6471 + 32 2.208614 137.8727 + 33 2.220172 134.1989 + 34 2.231696 130.6229 + 35 2.243189 127.1423 + 36 2.254654 123.7544 + 37 2.266092 120.4567 + 38 2.277506 117.2470 + 39 2.288899 114.1228 + 40 2.300272 111.0818 + 41 2.311626 108.1218 + 42 2.322959 105.2407 + 43 2.334272 102.4364 + 44 2.345565 99.70685 + 45 2.356836 97.05001 + 46 2.368087 94.46396 + 47 2.379318 91.94681 + 48 2.390531 89.49674 + 49 2.401725 87.11196 + 50 2.412903 84.79073 + 51 2.424064 82.53134 + 52 2.435209 80.33216 + 53 2.446338 78.19158 + 54 2.457454 76.10805 + 55 2.468557 74.08003 + 56 2.479647 72.10605 + 57 2.490725 70.18467 + 58 2.501792 68.31448 + 59 2.512848 66.49414 + 60 2.523893 64.72229 + 61 2.534928 62.99767 + 62 2.545953 61.31899 + 63 2.556969 59.68505 + 64 2.567975 58.09465 + 65 2.578972 56.54662 + 66 2.589961 55.03985 + 67 2.600942 53.57322 + 68 2.611917 52.14568 + 69 2.622888 50.75618 + 70 2.633857 49.40370 + 71 2.644826 48.08726 + 72 2.655797 46.80590 + 73 2.666773 45.55868 + 74 2.677753 44.34470 + 75 2.688733 43.16306 + 76 2.699706 42.01291 + 77 2.710666 40.89341 + 78 2.721607 39.80374 + 79 2.732522 38.74311 + 80 2.743406 37.71074 + 81 2.754260 36.70587 + 82 2.765102 35.72779 + 83 2.775952 34.77576 + 84 2.786827 33.84911 + 85 2.797723 32.94714 + 86 2.808630 32.06922 + 87 2.819536 31.21468 + 88 2.830436 30.38292 + 89 2.841331 29.57331 + 90 2.852221 28.78529 + 91 2.863109 28.01826 + 92 2.873995 27.27167 + 93 2.884882 26.54497 + 94 2.895771 25.83764 + 95 2.906661 25.14915 + 96 2.917554 24.47901 + 97 2.928448 23.82673 + 98 2.939346 23.19183 + 99 2.950248 22.57385 +100 2.961158 21.97233 +101 2.972076 21.38684 +102 2.983005 20.81696 +103 2.993946 20.26226 +104 3.004902 19.72234 +105 3.015875 19.19680 +106 3.026866 18.68527 +107 3.037879 18.18737 +108 3.048916 17.70274 +109 3.059979 17.23103 +110 3.071070 16.77188 +111 3.082192 16.32496 +112 3.093347 15.88996 +113 3.104538 15.46655 +114 3.115767 15.05442 +115 3.127037 14.65327 +116 3.138351 14.26281 +117 3.149710 13.88275 +118 3.161119 13.51282 +119 3.172579 13.15275 +120 3.184093 12.80228 +121 3.195661 12.46114 +122 3.207286 12.12909 +123 3.218971 11.80589 +124 3.230718 11.49131 +125 3.242529 11.18510 +126 3.254405 10.88706 +127 3.266349 10.59696 +128 3.278360 10.31458 +129 3.290445 10.03973 +130 3.302612 9.772210 +131 3.314868 9.511814 +132 3.327219 9.258356 +133 3.339669 9.011653 +134 3.352219 8.771523 +135 3.364871 8.537792 +136 3.377628 8.310289 +137 3.390493 8.088848 +138 3.403466 7.873308 +139 3.416552 7.663511 +140 3.429753 7.459304 +141 3.443073 7.260539 +142 3.456514 7.067071 +143 3.470079 6.878757 +144 3.483771 6.695462 +145 3.497593 6.517051 +146 3.511549 6.343394 +147 3.525644 6.174364 +148 3.539883 6.009838 +149 3.554270 5.849696 +150 3.568812 5.693822 +151 3.583515 5.542101 +152 3.598384 5.394423 +153 3.613423 5.250680 +154 3.628636 5.110767 +155 3.644028 4.974583 +156 3.659604 4.842027 +157 3.675372 4.713004 +158 3.691340 4.587418 +159 3.707516 4.465179 +160 3.723901 4.346197 +161 3.740490 4.230386 +162 3.757282 4.117661 +163 3.774272 4.007939 +164 3.791455 3.901141 +165 3.808825 3.797189 +166 3.826383 3.696007 +167 3.844159 3.597521 +168 3.862189 3.501659 +169 3.880514 3.408352 +170 3.899145 3.317531 +171 3.918072 3.229130 +172 3.937283 3.143085 +173 3.956768 3.059332 +174 3.976533 2.977812 +175 3.996585 2.898463 +176 4.016932 2.821229 +177 4.037586 2.746053 +178 4.058558 2.672880 +179 4.079859 2.601657 +180 4.101502 2.532331 +181 4.123499 2.464853 +182 4.145862 2.399173 +183 4.168603 2.335244 +184 4.191718 2.273017 +185 4.215197 2.212449 +186 4.239032 2.153495 +187 4.263235 2.096112 +188 4.287838 2.040258 +189 4.312876 1.985892 +190 4.338364 1.932974 +191 4.364255 1.881467 +192 4.390484 1.831333 +193 4.416995 1.782534 +194 4.443848 1.735035 +195 4.471166 1.688803 +196 4.499084 1.643802 +197 4.527674 1.600000 +198 4.677158 1.400000 +199 4.866842 1.200000 diff --git a/2024-11-08/X219226.340 b/2024-11-08/X219226.340 new file mode 100644 index 0000000..40516b3 --- /dev/null +++ b/2024-11-08/X219226.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-11-08 +Serial Number: X219226 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.4353,307.216 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.800284 330.0000 + 2 1.825149 310.0000 + 3 1.835991 301.7396 + 4 1.846912 293.6992 + 5 1.857894 285.8731 + 6 1.868931 278.2556 + 7 1.880019 270.8410 + 8 1.891153 263.6240 + 9 1.902326 256.5994 + 10 1.913533 249.7619 + 11 1.924768 243.1066 + 12 1.936030 236.6286 + 13 1.947315 230.3233 + 14 1.958620 224.1859 + 15 1.969943 218.2121 + 16 1.981282 212.3975 + 17 1.992634 206.7379 + 18 2.003995 201.2290 + 19 2.015364 195.8669 + 20 2.026737 190.6478 + 21 2.038112 185.5676 + 22 2.049486 180.6229 + 23 2.060856 175.8099 + 24 2.072220 171.1252 + 25 2.083574 166.5653 + 26 2.094917 162.1269 + 27 2.106247 157.8068 + 28 2.117564 153.6017 + 29 2.128868 149.5088 + 30 2.140161 145.5249 + 31 2.151439 141.6471 + 32 2.162701 137.8727 + 33 2.173944 134.1989 + 34 2.185161 130.6229 + 35 2.196340 127.1423 + 36 2.207471 123.7544 + 37 2.218552 120.4567 + 38 2.229597 117.2470 + 39 2.240621 114.1228 + 40 2.251636 111.0818 + 41 2.262643 108.1218 + 42 2.273638 105.2407 + 43 2.284617 102.4364 + 44 2.295577 99.70685 + 45 2.306515 97.05001 + 46 2.317428 94.46396 + 47 2.328315 91.94681 + 48 2.339178 89.49674 + 49 2.350020 87.11196 + 50 2.360844 84.79073 + 51 2.371654 82.53134 + 52 2.382449 80.33216 + 53 2.393230 78.19158 + 54 2.404000 76.10805 + 55 2.414757 74.08003 + 56 2.425504 72.10605 + 57 2.436240 70.18467 + 58 2.446966 68.31448 + 59 2.457682 66.49414 + 60 2.468387 64.72229 + 61 2.479082 62.99767 + 62 2.489767 61.31899 + 63 2.500443 59.68505 + 64 2.511109 58.09465 + 65 2.521766 56.54662 + 66 2.532415 55.03985 + 67 2.543055 53.57322 + 68 2.553688 52.14568 + 69 2.564313 50.75618 + 70 2.574932 49.40370 + 71 2.585544 48.08726 + 72 2.596150 46.80590 + 73 2.606750 45.55868 + 74 2.617344 44.34470 + 75 2.627934 43.16306 + 76 2.638520 42.01291 + 77 2.649101 40.89341 + 78 2.659678 39.80374 + 79 2.670250 38.74311 + 80 2.680819 37.71074 + 81 2.691384 36.70587 + 82 2.701945 35.72779 + 83 2.712502 34.77576 + 84 2.723054 33.84911 + 85 2.733603 32.94714 + 86 2.744147 32.06922 + 87 2.754688 31.21468 + 88 2.765226 30.38292 + 89 2.775761 29.57331 + 90 2.786294 28.78529 + 91 2.796825 28.01826 + 92 2.807355 27.27167 + 93 2.817883 26.54497 + 94 2.828410 25.83764 + 95 2.838936 25.14915 + 96 2.849462 24.47901 + 97 2.859987 23.82673 + 98 2.870514 23.19183 + 99 2.881044 22.57385 +100 2.891581 21.97233 +101 2.902125 21.38684 +102 2.912679 20.81696 +103 2.923246 20.26226 +104 2.933826 19.72234 +105 2.944423 19.19680 +106 2.955037 18.68527 +107 2.965671 18.18737 +108 2.976327 17.70274 +109 2.987006 17.23103 +110 2.997712 16.77188 +111 3.008444 16.32496 +112 3.019207 15.88996 +113 3.030001 15.46655 +114 3.040828 15.05442 +115 3.051691 14.65327 +116 3.062593 14.26281 +117 3.073534 13.88275 +118 3.084518 13.51282 +119 3.095547 13.15275 +120 3.106624 12.80228 +121 3.117751 12.46114 +122 3.128931 12.12909 +123 3.140168 11.80589 +124 3.151463 11.49131 +125 3.162820 11.18510 +126 3.174244 10.88706 +127 3.185736 10.59696 +128 3.197301 10.31458 +129 3.208944 10.03973 +130 3.220668 9.772210 +131 3.232475 9.511814 +132 3.244368 9.258356 +133 3.256349 9.011653 +134 3.268420 8.771523 +135 3.280583 8.537792 +136 3.292843 8.310289 +137 3.305200 8.088848 +138 3.317658 7.873308 +139 3.330219 7.663511 +140 3.342888 7.459304 +141 3.355668 7.260539 +142 3.368561 7.067071 +143 3.381572 6.878757 +144 3.394703 6.695462 +145 3.407959 6.517051 +146 3.421343 6.343394 +147 3.434858 6.174364 +148 3.448509 6.009838 +149 3.462301 5.849696 +150 3.476237 5.693822 +151 3.490322 5.542101 +152 3.504562 5.394423 +153 3.518959 5.250680 +154 3.533518 5.110767 +155 3.548244 4.974583 +156 3.563141 4.842027 +157 3.578213 4.713004 +158 3.593465 4.587418 +159 3.608902 4.465179 +160 3.624531 4.346197 +161 3.640361 4.230386 +162 3.656401 4.117661 +163 3.672650 4.007939 +164 3.689094 3.901141 +165 3.705719 3.797189 +166 3.722516 3.696007 +167 3.739507 3.597521 +168 3.756722 3.501659 +169 3.774192 3.408352 +170 3.791930 3.317531 +171 3.809935 3.229130 +172 3.828207 3.143085 +173 3.846745 3.059332 +174 3.865555 2.977812 +175 3.884640 2.898463 +176 3.904006 2.821229 +177 3.923659 2.746053 +178 3.943604 2.672880 +179 3.963844 2.601657 +180 3.984388 2.532331 +181 4.005245 2.464853 +182 4.026426 2.399173 +183 4.047942 2.335244 +184 4.069805 2.273017 +185 4.092026 2.212449 +186 4.114615 2.153495 +187 4.137576 2.096112 +188 4.160882 2.040258 +189 4.184500 1.985892 +190 4.208407 1.932974 +191 4.232654 1.881467 +192 4.257321 1.831333 +193 4.282493 1.782534 +194 4.308191 1.735035 +195 4.334384 1.688803 +196 4.361036 1.643802 +197 4.388125 1.600000 +198 4.529155 1.400000 +199 4.708826 1.200000 diff --git a/2024-11-08/X219227.340 b/2024-11-08/X219227.340 new file mode 100644 index 0000000..836cd00 --- /dev/null +++ b/2024-11-08/X219227.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-11-08 +Serial Number: X219227 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.43463,307.251 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.814275 330.0000 + 2 1.839136 310.0000 + 3 1.849983 301.7396 + 4 1.860906 293.6992 + 5 1.871893 285.8731 + 6 1.882939 278.2556 + 7 1.894038 270.8410 + 8 1.905184 263.6240 + 9 1.916372 256.5994 + 10 1.927596 249.7619 + 11 1.938851 243.1066 + 12 1.950132 236.6286 + 13 1.961438 230.3233 + 14 1.972765 224.1859 + 15 1.984111 218.2121 + 16 1.995472 212.3975 + 17 2.006847 206.7379 + 18 2.018231 201.2290 + 19 2.029621 195.8669 + 20 2.041016 190.6478 + 21 2.052411 185.5676 + 22 2.063803 180.6229 + 23 2.075191 175.8099 + 24 2.086569 171.1252 + 25 2.097937 166.5653 + 26 2.109290 162.1269 + 27 2.120628 157.8068 + 28 2.131950 153.6017 + 29 2.143256 149.5088 + 30 2.154547 145.5249 + 31 2.165825 141.6471 + 32 2.177093 137.8727 + 33 2.188352 134.1989 + 34 2.199590 130.6229 + 35 2.210788 127.1423 + 36 2.221925 123.7544 + 37 2.232996 120.4567 + 38 2.244022 117.2470 + 39 2.255029 114.1228 + 40 2.266035 111.0818 + 41 2.277039 108.1218 + 42 2.288029 105.2407 + 43 2.298997 102.4364 + 44 2.309934 99.70685 + 45 2.320841 97.05001 + 46 2.331722 94.46396 + 47 2.342578 91.94681 + 48 2.353412 89.49674 + 49 2.364223 87.11196 + 50 2.375013 84.79073 + 51 2.385784 82.53134 + 52 2.396536 80.33216 + 53 2.407271 78.19158 + 54 2.417989 76.10805 + 55 2.428692 74.08003 + 56 2.439380 72.10605 + 57 2.450054 70.18467 + 58 2.460713 68.31448 + 59 2.471359 66.49414 + 60 2.481991 64.72229 + 61 2.492611 62.99767 + 62 2.503217 61.31899 + 63 2.513810 59.68505 + 64 2.524391 58.09465 + 65 2.534960 56.54662 + 66 2.545517 55.03985 + 67 2.556062 53.57322 + 68 2.566596 52.14568 + 69 2.577118 50.75618 + 70 2.587630 49.40370 + 71 2.598131 48.08726 + 72 2.608622 46.80590 + 73 2.619103 45.55868 + 74 2.629574 44.34470 + 75 2.640035 43.16306 + 76 2.650486 42.01291 + 77 2.660929 40.89341 + 78 2.671362 39.80374 + 79 2.681787 38.74311 + 80 2.692203 37.71074 + 81 2.702611 36.70587 + 82 2.713010 35.72779 + 83 2.723401 34.77576 + 84 2.733784 33.84911 + 85 2.744159 32.94714 + 86 2.754527 32.06922 + 87 2.764887 31.21468 + 88 2.775242 30.38292 + 89 2.785590 29.57331 + 90 2.795933 28.78529 + 91 2.806271 28.01826 + 92 2.816601 27.27167 + 93 2.826920 26.54497 + 94 2.837225 25.83764 + 95 2.847519 25.14915 + 96 2.857805 24.47901 + 97 2.868091 23.82673 + 98 2.878381 23.19183 + 99 2.888674 22.57385 +100 2.898970 21.97233 +101 2.909270 21.38684 +102 2.919573 20.81696 +103 2.929882 20.26226 +104 2.940199 19.72234 +105 2.950526 19.19680 +106 2.960864 18.68527 +107 2.971216 18.18737 +108 2.981584 17.70274 +109 2.991970 17.23103 +110 3.002376 16.77188 +111 3.012802 16.32496 +112 3.023253 15.88996 +113 3.033729 15.46655 +114 3.044232 15.05442 +115 3.054766 14.65327 +116 3.065331 14.26281 +117 3.075931 13.88275 +118 3.086567 13.51282 +119 3.097242 13.15275 +120 3.107958 12.80228 +121 3.118718 12.46114 +122 3.129526 12.12909 +123 3.140383 11.80589 +124 3.151292 11.49131 +125 3.162258 11.18510 +126 3.173282 10.88706 +127 3.184369 10.59696 +128 3.195523 10.31458 +129 3.206746 10.03973 +130 3.218043 9.772210 +131 3.229416 9.511814 +132 3.240867 9.258356 +133 3.252397 9.011653 +134 3.264008 8.771523 +135 3.275703 8.537792 +136 3.287484 8.310289 +137 3.299352 8.088848 +138 3.311311 7.873308 +139 3.323363 7.663511 +140 3.335510 7.459304 +141 3.347756 7.260539 +142 3.360103 7.067071 +143 3.372555 6.878757 +144 3.385115 6.695462 +145 3.397788 6.517051 +146 3.410577 6.343394 +147 3.423486 6.174364 +148 3.436520 6.009838 +149 3.449682 5.849696 +150 3.462979 5.693822 +151 3.476415 5.542101 +152 3.489995 5.394423 +153 3.503722 5.250680 +154 3.517600 5.110767 +155 3.531631 4.974583 +156 3.545820 4.842027 +157 3.560168 4.713004 +158 3.574679 4.587418 +159 3.589356 4.465179 +160 3.604202 4.346197 +161 3.619221 4.230386 +162 3.634415 4.117661 +163 3.649790 4.007939 +164 3.665349 3.901141 +165 3.681099 3.797189 +166 3.697045 3.696007 +167 3.713193 3.597521 +168 3.729549 3.501659 +169 3.746121 3.408352 +170 3.762916 3.317531 +171 3.779941 3.229130 +172 3.797204 3.143085 +173 3.814711 3.059332 +174 3.832471 2.977812 +175 3.850489 2.898463 +176 3.868773 2.821229 +177 3.887330 2.746053 +178 3.906165 2.672880 +179 3.925288 2.601657 +180 3.944699 2.532331 +181 3.964398 2.464853 +182 3.984379 2.399173 +183 4.004641 2.335244 +184 4.025203 2.273017 +185 4.046092 2.212449 +186 4.067337 2.153495 +187 4.088962 2.096112 +188 4.110964 2.040258 +189 4.133340 1.985892 +190 4.156081 1.932974 +191 4.179170 1.881467 +192 4.202586 1.831333 +193 4.226304 1.782534 +194 4.250341 1.735035 +195 4.274746 1.688803 +196 4.299573 1.643802 +197 4.324879 1.600000 +198 4.457027 1.400000 +199 4.621864 1.200000 diff --git a/2024-11-08/X219230.340 b/2024-11-08/X219230.340 new file mode 100644 index 0000000..55154d4 --- /dev/null +++ b/2024-11-08/X219230.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-11-08 +Serial Number: X219230 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.43656,307.154 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.789006 330.0000 + 2 1.813480 310.0000 + 3 1.824142 301.7396 + 4 1.834893 293.6992 + 5 1.845706 285.8731 + 6 1.856574 278.2556 + 7 1.867494 270.8410 + 8 1.878459 263.6240 + 9 1.889464 256.5994 + 10 1.900504 249.7619 + 11 1.911572 243.1066 + 12 1.922666 236.6286 + 13 1.933783 230.3233 + 14 1.944921 224.1859 + 15 1.956076 218.2121 + 16 1.967245 212.3975 + 17 1.978427 206.7379 + 18 1.989618 201.2290 + 19 2.000816 195.8669 + 20 2.012016 190.6478 + 21 2.023217 185.5676 + 22 2.034416 180.6229 + 23 2.045610 175.8099 + 24 2.056795 171.1252 + 25 2.067970 166.5653 + 26 2.079131 162.1269 + 27 2.090275 157.8068 + 28 2.101401 153.6017 + 29 2.112505 149.5088 + 30 2.123586 145.5249 + 31 2.134643 141.6471 + 32 2.145676 137.8727 + 33 2.156685 134.1989 + 34 2.167670 130.6229 + 35 2.178631 127.1423 + 36 2.189567 123.7544 + 37 2.200479 120.4567 + 38 2.211367 117.2470 + 39 2.222230 114.1228 + 40 2.233068 111.0818 + 41 2.243882 108.1218 + 42 2.254671 105.2407 + 43 2.265435 102.4364 + 44 2.276174 99.70685 + 45 2.286888 97.05001 + 46 2.297579 94.46396 + 47 2.308247 91.94681 + 48 2.318893 89.49674 + 49 2.329518 87.11196 + 50 2.340123 84.79073 + 51 2.350709 82.53134 + 52 2.361278 80.33216 + 53 2.371830 78.19158 + 54 2.382367 76.10805 + 55 2.392890 74.08003 + 56 2.403399 72.10605 + 57 2.413895 70.18467 + 58 2.424378 68.31448 + 59 2.434849 66.49414 + 60 2.445308 64.72229 + 61 2.455756 62.99767 + 62 2.466192 61.31899 + 63 2.476617 59.68505 + 64 2.487031 58.09465 + 65 2.497436 56.54662 + 66 2.507830 55.03985 + 67 2.518215 53.57322 + 68 2.528590 52.14568 + 69 2.538957 50.75618 + 70 2.549315 49.40370 + 71 2.559665 48.08726 + 72 2.570006 46.80590 + 73 2.580341 45.55868 + 74 2.590667 44.34470 + 75 2.600987 43.16306 + 76 2.611300 42.01291 + 77 2.621607 40.89341 + 78 2.631903 39.80374 + 79 2.642183 38.74311 + 80 2.652442 37.71074 + 81 2.662679 36.70587 + 82 2.672907 35.72779 + 83 2.683140 34.77576 + 84 2.693390 33.84911 + 85 2.703656 32.94714 + 86 2.713929 32.06922 + 87 2.724206 31.21468 + 88 2.734478 30.38292 + 89 2.744740 29.57331 + 90 2.754986 28.78529 + 91 2.765211 28.01826 + 92 2.775420 27.27167 + 93 2.785615 26.54497 + 94 2.795801 25.83764 + 95 2.805982 25.14915 + 96 2.816163 24.47901 + 97 2.826349 23.82673 + 98 2.836541 23.19183 + 99 2.846740 22.57385 +100 2.856943 21.97233 +101 2.867149 21.38684 +102 2.877358 20.81696 +103 2.887574 20.26226 +104 2.897799 19.72234 +105 2.908035 19.19680 +106 2.918283 18.68527 +107 2.928548 18.18737 +108 2.938830 17.70274 +109 2.949133 17.23103 +110 2.959458 16.77188 +111 2.969808 16.32496 +112 2.980186 15.88996 +113 2.990593 15.46655 +114 3.001032 15.05442 +115 3.011506 14.65327 +116 3.022016 14.26281 +117 3.032564 13.88275 +118 3.043150 13.51282 +119 3.053776 13.15275 +120 3.064445 12.80228 +121 3.075157 12.46114 +122 3.085915 12.12909 +123 3.096720 11.80589 +124 3.107574 11.49131 +125 3.118480 11.18510 +126 3.129439 10.88706 +127 3.140454 10.59696 +128 3.151528 10.31458 +129 3.162668 10.03973 +130 3.173890 9.772210 +131 3.185209 9.511814 +132 3.196633 9.258356 +133 3.208158 9.011653 +134 3.219774 8.771523 +135 3.231472 8.537792 +136 3.243250 8.310289 +137 3.255112 8.088848 +138 3.267060 7.873308 +139 3.279098 7.663511 +140 3.291230 7.459304 +141 3.303458 7.260539 +142 3.315788 7.067071 +143 3.328222 6.878757 +144 3.340765 6.695462 +145 3.353421 6.517051 +146 3.366195 6.343394 +147 3.379090 6.174364 +148 3.392112 6.009838 +149 3.405265 5.849696 +150 3.418556 5.693822 +151 3.431990 5.542101 +152 3.445572 5.394423 +153 3.459306 5.250680 +154 3.473194 5.110767 +155 3.487239 4.974583 +156 3.501442 4.842027 +157 3.515807 4.713004 +158 3.530335 4.587418 +159 3.545029 4.465179 +160 3.559891 4.346197 +161 3.574923 4.230386 +162 3.590127 4.117661 +163 3.605506 4.007939 +164 3.621064 3.901141 +165 3.636805 3.797189 +166 3.652734 3.696007 +167 3.668869 3.597521 +168 3.685228 3.501659 +169 3.701829 3.408352 +170 3.718681 3.317531 +171 3.735781 3.229130 +172 3.753124 3.143085 +173 3.770710 3.059332 +174 3.788543 2.977812 +175 3.806629 2.898463 +176 3.824974 2.821229 +177 3.843584 2.746053 +178 3.862465 2.672880 +179 3.881622 2.601657 +180 3.901059 2.532331 +181 3.920772 2.464853 +182 3.940761 2.399173 +183 3.961026 2.335244 +184 3.981607 2.273017 +185 4.002557 2.212449 +186 4.023936 2.153495 +187 4.045756 2.096112 +188 4.067917 2.040258 +189 4.090293 1.985892 +190 4.112782 1.932974 +191 4.135481 1.881467 +192 4.158564 1.831333 +193 4.182212 1.782534 +194 4.206473 1.735035 +195 4.231282 1.688803 +196 4.256565 1.643802 +197 4.282236 1.600000 +198 4.415987 1.400000 +199 4.593423 1.200000 diff --git a/2024-12-06/.ipynb_checkpoints/X196718-checkpoint.340 b/2024-12-06/.ipynb_checkpoints/X196718-checkpoint.340 new file mode 100644 index 0000000..6ced7cc --- /dev/null +++ b/2024-12-06/.ipynb_checkpoints/X196718-checkpoint.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-06 +Serial Number: X196718 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.76374,303.774 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.931530 330.0000 + 2 1.956715 310.0000 + 3 1.967716 301.7396 + 4 1.978763 293.6992 + 5 1.989851 285.8731 + 6 2.000974 278.2556 + 7 2.012128 270.8410 + 8 2.023305 263.6240 + 9 2.034499 256.5994 + 10 2.045705 249.7619 + 11 2.056915 243.1066 + 12 2.068127 236.6286 + 13 2.079338 230.3233 + 14 2.090544 224.1859 + 15 2.101746 218.2121 + 16 2.112943 212.3975 + 17 2.124135 206.7379 + 18 2.135323 201.2290 + 19 2.146507 195.8669 + 20 2.157686 190.6478 + 21 2.168859 185.5676 + 22 2.180021 180.6229 + 23 2.191167 175.8099 + 24 2.202290 171.1252 + 25 2.213387 166.5653 + 26 2.224452 162.1269 + 27 2.235479 157.8068 + 28 2.246465 153.6017 + 29 2.257410 149.5088 + 30 2.268313 145.5249 + 31 2.279175 141.6471 + 32 2.289996 137.8727 + 33 2.300779 134.1989 + 34 2.311524 130.6229 + 35 2.322233 127.1423 + 36 2.332906 123.7544 + 37 2.343545 120.4567 + 38 2.354151 117.2470 + 39 2.364725 114.1228 + 40 2.375268 111.0818 + 41 2.385781 108.1218 + 42 2.396264 105.2407 + 43 2.406718 102.4364 + 44 2.417143 99.70685 + 45 2.427538 97.05001 + 46 2.437906 94.46396 + 47 2.448246 91.94681 + 48 2.458561 89.49674 + 49 2.468851 87.11196 + 50 2.479117 84.79073 + 51 2.489360 82.53134 + 52 2.499583 80.33216 + 53 2.509785 78.19158 + 54 2.519969 76.10805 + 55 2.530136 74.08003 + 56 2.540286 72.10605 + 57 2.550421 70.18467 + 58 2.560541 68.31448 + 59 2.570646 66.49414 + 60 2.580738 64.72229 + 61 2.590816 62.99767 + 62 2.600882 61.31899 + 63 2.610935 59.68505 + 64 2.620977 58.09465 + 65 2.631008 56.54662 + 66 2.641028 55.03985 + 67 2.651038 53.57322 + 68 2.661039 52.14568 + 69 2.671031 50.75618 + 70 2.681015 49.40370 + 71 2.690991 48.08726 + 72 2.700960 46.80590 + 73 2.710921 45.55868 + 74 2.720877 44.34470 + 75 2.730825 43.16306 + 76 2.740766 42.01291 + 77 2.750697 40.89341 + 78 2.760619 39.80374 + 79 2.770529 38.74311 + 80 2.780426 37.71074 + 81 2.790311 36.70587 + 82 2.800184 35.72779 + 83 2.810049 34.77576 + 84 2.819908 33.84911 + 85 2.829764 32.94714 + 86 2.839620 32.06922 + 87 2.849478 31.21468 + 88 2.859340 30.38292 + 89 2.869206 29.57331 + 90 2.879077 28.78529 + 91 2.888951 28.01826 + 92 2.898828 27.27167 + 93 2.908707 26.54497 + 94 2.918590 25.83764 + 95 2.928475 25.14915 + 96 2.938361 24.47901 + 97 2.948250 23.82673 + 98 2.958141 23.19183 + 99 2.968038 22.57385 +100 2.977942 21.97233 +101 2.987856 21.38684 +102 2.997783 20.81696 +103 3.007723 20.26226 +104 3.017681 19.72234 +105 3.027657 19.19680 +106 3.037656 18.68527 +107 3.047677 18.18737 +108 3.057726 17.70274 +109 3.067802 17.23103 +110 3.077910 16.77188 +111 3.088051 16.32496 +112 3.098228 15.88996 +113 3.108442 15.46655 +114 3.118698 15.05442 +115 3.128997 14.65327 +116 3.139342 14.26281 +117 3.149737 13.88275 +118 3.160183 13.51282 +119 3.170684 13.15275 +120 3.181243 12.80228 +121 3.191863 12.46114 +122 3.202548 12.12909 +123 3.213302 11.80589 +124 3.224125 11.49131 +125 3.235016 11.18510 +126 3.245974 10.88706 +127 3.256995 10.59696 +128 3.268078 10.31458 +129 3.279220 10.03973 +130 3.290424 9.772210 +131 3.301709 9.511814 +132 3.313097 9.258356 +133 3.324609 9.011653 +134 3.336244 8.771523 +135 3.347992 8.537792 +136 3.359846 8.310289 +137 3.371804 8.088848 +138 3.383870 7.873308 +139 3.396047 7.663511 +140 3.408338 7.459304 +141 3.420748 7.260539 +142 3.433279 7.067071 +143 3.445936 6.878757 +144 3.458723 6.695462 +145 3.471643 6.517051 +146 3.484700 6.343394 +147 3.497900 6.174364 +148 3.511246 6.009838 +149 3.524744 5.849696 +150 3.538399 5.693822 +151 3.552216 5.542101 +152 3.566202 5.394423 +153 3.580360 5.250680 +154 3.594694 5.110767 +155 3.609208 4.974583 +156 3.623905 4.842027 +157 3.638791 4.713004 +158 3.653868 4.587418 +159 3.669141 4.465179 +160 3.684614 4.346197 +161 3.700291 4.230386 +162 3.716177 4.117661 +163 3.732276 4.007939 +164 3.748596 3.901141 +165 3.765142 3.797189 +166 3.781921 3.696007 +167 3.798940 3.597521 +168 3.816206 3.501659 +169 3.833728 3.408352 +170 3.851511 3.317531 +171 3.869566 3.229130 +172 3.887899 3.143085 +173 3.906519 3.059332 +174 3.925432 2.977812 +175 3.944646 2.898463 +176 3.964168 2.821229 +177 3.984005 2.746053 +178 4.004165 2.672880 +179 4.024653 2.601657 +180 4.045478 2.532331 +181 4.066646 2.464853 +182 4.088165 2.399173 +183 4.110043 2.335244 +184 4.132289 2.273017 +185 4.154913 2.212449 +186 4.177923 2.153495 +187 4.201333 2.096112 +188 4.225159 2.040258 +189 4.249396 1.985892 +190 4.274009 1.932974 +191 4.298954 1.881467 +192 4.324184 1.831333 +193 4.349646 1.782534 +194 4.375338 1.735035 +195 4.401459 1.688803 +196 4.428043 1.643802 +197 4.455105 1.600000 +198 4.596361 1.400000 +199 4.776343 1.200000 diff --git a/2024-12-06/X196718.340 b/2024-12-06/X196718.340 new file mode 100644 index 0000000..6ced7cc --- /dev/null +++ b/2024-12-06/X196718.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-06 +Serial Number: X196718 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.76374,303.774 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.931530 330.0000 + 2 1.956715 310.0000 + 3 1.967716 301.7396 + 4 1.978763 293.6992 + 5 1.989851 285.8731 + 6 2.000974 278.2556 + 7 2.012128 270.8410 + 8 2.023305 263.6240 + 9 2.034499 256.5994 + 10 2.045705 249.7619 + 11 2.056915 243.1066 + 12 2.068127 236.6286 + 13 2.079338 230.3233 + 14 2.090544 224.1859 + 15 2.101746 218.2121 + 16 2.112943 212.3975 + 17 2.124135 206.7379 + 18 2.135323 201.2290 + 19 2.146507 195.8669 + 20 2.157686 190.6478 + 21 2.168859 185.5676 + 22 2.180021 180.6229 + 23 2.191167 175.8099 + 24 2.202290 171.1252 + 25 2.213387 166.5653 + 26 2.224452 162.1269 + 27 2.235479 157.8068 + 28 2.246465 153.6017 + 29 2.257410 149.5088 + 30 2.268313 145.5249 + 31 2.279175 141.6471 + 32 2.289996 137.8727 + 33 2.300779 134.1989 + 34 2.311524 130.6229 + 35 2.322233 127.1423 + 36 2.332906 123.7544 + 37 2.343545 120.4567 + 38 2.354151 117.2470 + 39 2.364725 114.1228 + 40 2.375268 111.0818 + 41 2.385781 108.1218 + 42 2.396264 105.2407 + 43 2.406718 102.4364 + 44 2.417143 99.70685 + 45 2.427538 97.05001 + 46 2.437906 94.46396 + 47 2.448246 91.94681 + 48 2.458561 89.49674 + 49 2.468851 87.11196 + 50 2.479117 84.79073 + 51 2.489360 82.53134 + 52 2.499583 80.33216 + 53 2.509785 78.19158 + 54 2.519969 76.10805 + 55 2.530136 74.08003 + 56 2.540286 72.10605 + 57 2.550421 70.18467 + 58 2.560541 68.31448 + 59 2.570646 66.49414 + 60 2.580738 64.72229 + 61 2.590816 62.99767 + 62 2.600882 61.31899 + 63 2.610935 59.68505 + 64 2.620977 58.09465 + 65 2.631008 56.54662 + 66 2.641028 55.03985 + 67 2.651038 53.57322 + 68 2.661039 52.14568 + 69 2.671031 50.75618 + 70 2.681015 49.40370 + 71 2.690991 48.08726 + 72 2.700960 46.80590 + 73 2.710921 45.55868 + 74 2.720877 44.34470 + 75 2.730825 43.16306 + 76 2.740766 42.01291 + 77 2.750697 40.89341 + 78 2.760619 39.80374 + 79 2.770529 38.74311 + 80 2.780426 37.71074 + 81 2.790311 36.70587 + 82 2.800184 35.72779 + 83 2.810049 34.77576 + 84 2.819908 33.84911 + 85 2.829764 32.94714 + 86 2.839620 32.06922 + 87 2.849478 31.21468 + 88 2.859340 30.38292 + 89 2.869206 29.57331 + 90 2.879077 28.78529 + 91 2.888951 28.01826 + 92 2.898828 27.27167 + 93 2.908707 26.54497 + 94 2.918590 25.83764 + 95 2.928475 25.14915 + 96 2.938361 24.47901 + 97 2.948250 23.82673 + 98 2.958141 23.19183 + 99 2.968038 22.57385 +100 2.977942 21.97233 +101 2.987856 21.38684 +102 2.997783 20.81696 +103 3.007723 20.26226 +104 3.017681 19.72234 +105 3.027657 19.19680 +106 3.037656 18.68527 +107 3.047677 18.18737 +108 3.057726 17.70274 +109 3.067802 17.23103 +110 3.077910 16.77188 +111 3.088051 16.32496 +112 3.098228 15.88996 +113 3.108442 15.46655 +114 3.118698 15.05442 +115 3.128997 14.65327 +116 3.139342 14.26281 +117 3.149737 13.88275 +118 3.160183 13.51282 +119 3.170684 13.15275 +120 3.181243 12.80228 +121 3.191863 12.46114 +122 3.202548 12.12909 +123 3.213302 11.80589 +124 3.224125 11.49131 +125 3.235016 11.18510 +126 3.245974 10.88706 +127 3.256995 10.59696 +128 3.268078 10.31458 +129 3.279220 10.03973 +130 3.290424 9.772210 +131 3.301709 9.511814 +132 3.313097 9.258356 +133 3.324609 9.011653 +134 3.336244 8.771523 +135 3.347992 8.537792 +136 3.359846 8.310289 +137 3.371804 8.088848 +138 3.383870 7.873308 +139 3.396047 7.663511 +140 3.408338 7.459304 +141 3.420748 7.260539 +142 3.433279 7.067071 +143 3.445936 6.878757 +144 3.458723 6.695462 +145 3.471643 6.517051 +146 3.484700 6.343394 +147 3.497900 6.174364 +148 3.511246 6.009838 +149 3.524744 5.849696 +150 3.538399 5.693822 +151 3.552216 5.542101 +152 3.566202 5.394423 +153 3.580360 5.250680 +154 3.594694 5.110767 +155 3.609208 4.974583 +156 3.623905 4.842027 +157 3.638791 4.713004 +158 3.653868 4.587418 +159 3.669141 4.465179 +160 3.684614 4.346197 +161 3.700291 4.230386 +162 3.716177 4.117661 +163 3.732276 4.007939 +164 3.748596 3.901141 +165 3.765142 3.797189 +166 3.781921 3.696007 +167 3.798940 3.597521 +168 3.816206 3.501659 +169 3.833728 3.408352 +170 3.851511 3.317531 +171 3.869566 3.229130 +172 3.887899 3.143085 +173 3.906519 3.059332 +174 3.925432 2.977812 +175 3.944646 2.898463 +176 3.964168 2.821229 +177 3.984005 2.746053 +178 4.004165 2.672880 +179 4.024653 2.601657 +180 4.045478 2.532331 +181 4.066646 2.464853 +182 4.088165 2.399173 +183 4.110043 2.335244 +184 4.132289 2.273017 +185 4.154913 2.212449 +186 4.177923 2.153495 +187 4.201333 2.096112 +188 4.225159 2.040258 +189 4.249396 1.985892 +190 4.274009 1.932974 +191 4.298954 1.881467 +192 4.324184 1.831333 +193 4.349646 1.782534 +194 4.375338 1.735035 +195 4.401459 1.688803 +196 4.428043 1.643802 +197 4.455105 1.600000 +198 4.596361 1.400000 +199 4.776343 1.200000 diff --git a/2024-12-06/X196719.340 b/2024-12-06/X196719.340 new file mode 100644 index 0000000..f397e6f --- /dev/null +++ b/2024-12-06/X196719.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-06 +Serial Number: X196719 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.76315,303.845 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.919585 330.0000 + 2 1.944458 310.0000 + 3 1.955317 301.7396 + 4 1.966227 293.6992 + 5 1.977179 285.8731 + 6 1.988166 278.2556 + 7 1.999184 270.8410 + 8 2.010225 263.6240 + 9 2.021284 256.5994 + 10 2.032354 249.7619 + 11 2.043430 243.1066 + 12 2.054507 236.6286 + 13 2.065583 230.3233 + 14 2.076655 224.1859 + 15 2.087722 218.2121 + 16 2.098785 212.3975 + 17 2.109844 206.7379 + 18 2.120898 201.2290 + 19 2.131949 195.8669 + 20 2.142996 190.6478 + 21 2.154038 185.5676 + 22 2.165069 180.6229 + 23 2.176084 175.8099 + 24 2.187078 171.1252 + 25 2.198045 166.5653 + 26 2.208981 162.1269 + 27 2.219879 157.8068 + 28 2.230738 153.6017 + 29 2.241555 149.5088 + 30 2.252330 145.5249 + 31 2.263064 141.6471 + 32 2.273758 137.8727 + 33 2.284414 134.1989 + 34 2.295031 130.6229 + 35 2.305612 127.1423 + 36 2.316157 123.7544 + 37 2.326667 120.4567 + 38 2.337143 117.2470 + 39 2.347587 114.1228 + 40 2.358000 111.0818 + 41 2.368381 108.1218 + 42 2.378733 105.2407 + 43 2.389054 102.4364 + 44 2.399346 99.70685 + 45 2.409608 97.05001 + 46 2.419842 94.46396 + 47 2.430050 91.94681 + 48 2.440232 89.49674 + 49 2.450389 87.11196 + 50 2.460524 84.79073 + 51 2.470636 82.53134 + 52 2.480728 80.33216 + 53 2.490799 78.19158 + 54 2.500852 76.10805 + 55 2.510887 74.08003 + 56 2.520904 72.10605 + 57 2.530905 70.18467 + 58 2.540889 68.31448 + 59 2.550856 66.49414 + 60 2.560807 64.72229 + 61 2.570742 62.99767 + 62 2.580662 61.31899 + 63 2.590565 59.68505 + 64 2.600454 58.09465 + 65 2.610329 56.54662 + 66 2.620193 55.03985 + 67 2.630046 53.57322 + 68 2.639892 52.14568 + 69 2.649732 50.75618 + 70 2.659568 49.40370 + 71 2.669402 48.08726 + 72 2.679236 46.80590 + 73 2.689071 45.55868 + 74 2.698910 44.34470 + 75 2.708746 43.16306 + 76 2.718569 42.01291 + 77 2.728367 40.89341 + 78 2.738136 39.80374 + 79 2.747882 38.74311 + 80 2.757614 37.71074 + 81 2.767338 36.70587 + 82 2.777057 35.72779 + 83 2.786771 34.77576 + 84 2.796483 33.84911 + 85 2.806191 32.94714 + 86 2.815898 32.06922 + 87 2.825605 31.21468 + 88 2.835313 30.38292 + 89 2.845021 29.57331 + 90 2.854730 28.78529 + 91 2.864439 28.01826 + 92 2.874149 27.27167 + 93 2.883859 26.54497 + 94 2.893570 25.83764 + 95 2.903281 25.14915 + 96 2.912992 24.47901 + 97 2.922704 23.82673 + 98 2.932417 23.19183 + 99 2.942134 22.57385 +100 2.951858 21.97233 +101 2.961590 21.38684 +102 2.971332 20.81696 +103 2.981087 20.26226 +104 2.990857 19.72234 +105 3.000645 19.19680 +106 3.010452 18.68527 +107 3.020281 18.18737 +108 3.030135 17.70274 +109 3.040015 17.23103 +110 3.049923 16.77188 +111 3.059863 16.32496 +112 3.069836 15.88996 +113 3.079845 15.46655 +114 3.089893 15.05442 +115 3.099981 14.65327 +116 3.110113 14.26281 +117 3.120290 13.88275 +118 3.130517 13.51282 +119 3.140796 13.15275 +120 3.151130 12.80228 +121 3.161522 12.46114 +122 3.171975 12.12909 +123 3.182493 11.80589 +124 3.193078 11.49131 +125 3.203728 11.18510 +126 3.214444 10.88706 +127 3.225224 10.59696 +128 3.236067 10.31458 +129 3.246973 10.03973 +130 3.257943 9.772210 +131 3.268990 9.511814 +132 3.280130 9.258356 +133 3.291376 9.011653 +134 3.302731 8.771523 +135 3.314190 8.537792 +136 3.325753 8.310289 +137 3.337419 8.088848 +138 3.349191 7.873308 +139 3.361072 7.663511 +140 3.373064 7.459304 +141 3.385171 7.260539 +142 3.397397 7.067071 +143 3.409743 6.878757 +144 3.422213 6.695462 +145 3.434810 6.517051 +146 3.447538 6.343394 +147 3.460401 6.174364 +148 3.473404 6.009838 +149 3.486552 5.849696 +150 3.499851 5.693822 +151 3.513304 5.542101 +152 3.526918 5.394423 +153 3.540697 5.250680 +154 3.554644 5.110767 +155 3.568764 4.974583 +156 3.583059 4.842027 +157 3.597535 4.713004 +158 3.612194 4.587418 +159 3.627041 4.465179 +160 3.642081 4.346197 +161 3.657316 4.230386 +162 3.672751 4.117661 +163 3.688392 4.007939 +164 3.704244 3.901141 +165 3.720315 3.797189 +166 3.736610 3.696007 +167 3.753136 3.597521 +168 3.769901 3.501659 +169 3.786912 3.408352 +170 3.804175 3.317531 +171 3.821698 3.229130 +172 3.839489 3.143085 +173 3.857556 3.059332 +174 3.875904 2.977812 +175 3.894540 2.898463 +176 3.913471 2.821229 +177 3.932703 2.746053 +178 3.952243 2.672880 +179 3.972096 2.601657 +180 3.992270 2.532331 +181 4.012769 2.464853 +182 4.033602 2.399173 +183 4.054777 2.335244 +184 4.076302 2.273017 +185 4.098185 2.212449 +186 4.120436 2.153495 +187 4.143069 2.096112 +188 4.166098 2.040258 +189 4.189542 1.985892 +190 4.213417 1.932974 +191 4.237743 1.881467 +192 4.262539 1.831333 +193 4.287826 1.782534 +194 4.313616 1.735035 +195 4.339860 1.688803 +196 4.366570 1.643802 +197 4.393760 1.600000 +198 4.535682 1.400000 +199 4.716513 1.200000 diff --git a/2024-12-06/X225622.340 b/2024-12-06/X225622.340 new file mode 100644 index 0000000..4ce62f2 --- /dev/null +++ b/2024-12-06/X225622.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-12-06 +Serial Number: X225622 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.76479,303.495 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.767933 330.0000 + 2 1.794189 310.0000 + 3 1.805655 301.7396 + 4 1.817193 293.6992 + 5 1.828805 285.8731 + 6 1.840485 278.2556 + 7 1.852227 270.8410 + 8 1.864026 263.6240 + 9 1.875876 256.5994 + 10 1.887769 249.7619 + 11 1.899701 243.1066 + 12 1.911668 236.6286 + 13 1.923667 230.3233 + 14 1.935694 224.1859 + 15 1.947747 218.2121 + 16 1.959823 212.3975 + 17 1.971918 206.7379 + 18 1.984029 201.2290 + 19 1.996153 195.8669 + 20 2.008286 190.6478 + 21 2.020426 185.5676 + 22 2.032569 180.6229 + 23 2.044711 175.8099 + 24 2.056850 171.1252 + 25 2.068982 166.5653 + 26 2.081104 162.1269 + 27 2.093213 157.8068 + 28 2.105306 153.6017 + 29 2.117382 149.5088 + 30 2.129441 145.5249 + 31 2.141483 141.6471 + 32 2.153509 137.8727 + 33 2.165520 134.1989 + 34 2.177517 130.6229 + 35 2.189492 127.1423 + 36 2.201433 123.7544 + 37 2.213330 120.4567 + 38 2.225179 117.2470 + 39 2.236991 114.1228 + 40 2.248776 111.0818 + 41 2.260542 108.1218 + 42 2.272290 105.2407 + 43 2.284018 102.4364 + 44 2.295727 99.70685 + 45 2.307413 97.05001 + 46 2.319078 94.46396 + 47 2.330720 91.94681 + 48 2.342341 89.49674 + 49 2.353939 87.11196 + 50 2.365516 84.79073 + 51 2.377070 82.53134 + 52 2.388603 80.33216 + 53 2.400116 78.19158 + 54 2.411611 76.10805 + 55 2.423089 74.08003 + 56 2.434551 72.10605 + 57 2.445998 70.18467 + 58 2.457429 68.31448 + 59 2.468846 66.49414 + 60 2.480248 64.72229 + 61 2.491637 62.99767 + 62 2.503013 61.31899 + 63 2.514377 59.68505 + 64 2.525728 58.09465 + 65 2.537067 56.54662 + 66 2.548395 55.03985 + 67 2.559712 53.57322 + 68 2.571019 52.14568 + 69 2.582316 50.75618 + 70 2.593604 49.40370 + 71 2.604882 48.08726 + 72 2.616152 46.80590 + 73 2.627414 45.55868 + 74 2.638667 44.34470 + 75 2.649913 43.16306 + 76 2.661150 42.01291 + 77 2.672377 40.89341 + 78 2.683595 39.80374 + 79 2.694801 38.74311 + 80 2.705995 37.71074 + 81 2.717178 36.70587 + 82 2.728350 35.72779 + 83 2.739512 34.77576 + 84 2.750666 33.84911 + 85 2.761815 32.94714 + 86 2.772958 32.06922 + 87 2.784100 31.21468 + 88 2.795240 30.38292 + 89 2.806378 29.57331 + 90 2.817516 28.78529 + 91 2.828651 28.01826 + 92 2.839785 27.27167 + 93 2.850917 26.54497 + 94 2.862047 25.83764 + 95 2.873174 25.14915 + 96 2.884299 24.47901 + 97 2.895422 23.82673 + 98 2.906544 23.19183 + 99 2.917667 22.57385 +100 2.928794 21.97233 +101 2.939927 21.38684 +102 2.951070 20.81696 +103 2.962223 20.26226 +104 2.973390 19.72234 +105 2.984574 19.19680 +106 2.995776 18.68527 +107 3.006999 18.18737 +108 3.018247 17.70274 +109 3.029520 17.23103 +110 3.040822 16.77188 +111 3.052155 16.32496 +112 3.063520 15.88996 +113 3.074917 15.46655 +114 3.086349 15.05442 +115 3.097816 14.65327 +116 3.109319 14.26281 +117 3.120859 13.88275 +118 3.132443 13.51282 +119 3.144075 13.15275 +120 3.155762 12.80228 +121 3.167512 12.46114 +122 3.179331 12.12909 +123 3.191227 11.80589 +124 3.203201 11.49131 +125 3.215242 11.18510 +126 3.227340 10.88706 +127 3.239489 10.59696 +128 3.251697 10.31458 +129 3.263975 10.03973 +130 3.276331 9.772210 +131 3.288770 9.511814 +132 3.301299 9.258356 +133 3.313920 9.011653 +134 3.326639 8.771523 +135 3.339461 8.537792 +136 3.352392 8.310289 +137 3.365434 8.088848 +138 3.378589 7.873308 +139 3.391859 7.663511 +140 3.405247 7.459304 +141 3.418754 7.260539 +142 3.432384 7.067071 +143 3.446137 6.878757 +144 3.460017 6.695462 +145 3.474025 6.517051 +146 3.488166 6.343394 +147 3.502445 6.174364 +148 3.516866 6.009838 +149 3.531435 5.849696 +150 3.546159 5.693822 +151 3.561045 5.542101 +152 3.576097 5.394423 +153 3.591321 5.250680 +154 3.606722 5.110767 +155 3.622304 4.974583 +156 3.638071 4.842027 +157 3.654030 4.713004 +158 3.670184 4.587418 +159 3.686537 4.465179 +160 3.703090 4.346197 +161 3.719813 4.230386 +162 3.736672 4.117661 +163 3.753656 4.007939 +164 3.770798 3.901141 +165 3.788141 3.797189 +166 3.805729 3.696007 +167 3.823613 3.597521 +168 3.841819 3.501659 +169 3.860325 3.408352 +170 3.879095 3.317531 +171 3.898101 3.229130 +172 3.917347 3.143085 +173 3.936852 3.059332 +174 3.956633 2.977812 +175 3.976708 2.898463 +176 3.997092 2.821229 +177 4.017801 2.746053 +178 4.038849 2.672880 +179 4.060234 2.601657 +180 4.081941 2.532331 +181 4.103955 2.464853 +182 4.126272 2.399173 +183 4.148901 2.335244 +184 4.171856 2.273017 +185 4.195149 2.212449 +186 4.218796 2.153495 +187 4.242815 2.096112 +188 4.267230 2.040258 +189 4.292064 1.985892 +190 4.317345 1.932974 +191 4.343098 1.881467 +192 4.369356 1.831333 +193 4.396148 1.782534 +194 4.423485 1.735035 +195 4.451310 1.688803 +196 4.479630 1.643802 +197 4.508457 1.600000 +198 4.658931 1.400000 +199 4.850657 1.200000 diff --git a/2024-12-06/X225623.340 b/2024-12-06/X225623.340 new file mode 100644 index 0000000..5499303 --- /dev/null +++ b/2024-12-06/X225623.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-12-06 +Serial Number: X225623 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.76568,303.599 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.741975 330.0000 + 2 1.767298 310.0000 + 3 1.778359 301.7396 + 4 1.789489 293.6992 + 5 1.800693 285.8731 + 6 1.811964 278.2556 + 7 1.823299 270.8410 + 8 1.834690 263.6240 + 9 1.846132 256.5994 + 10 1.857619 249.7619 + 11 1.869144 243.1066 + 12 1.880705 236.6286 + 13 1.892298 230.3233 + 14 1.903920 224.1859 + 15 1.915568 218.2121 + 16 1.927238 212.3975 + 17 1.938928 206.7379 + 18 1.950635 201.2290 + 19 1.962354 195.8669 + 20 1.974082 190.6478 + 21 1.985817 185.5676 + 22 1.997555 180.6229 + 23 2.009292 175.8099 + 24 2.021025 171.1252 + 25 2.032751 166.5653 + 26 2.044467 162.1269 + 27 2.056169 157.8068 + 28 2.067854 153.6017 + 29 2.079519 149.5088 + 30 2.091163 145.5249 + 31 2.102784 141.6471 + 32 2.114383 137.8727 + 33 2.125958 134.1989 + 34 2.137509 130.6229 + 35 2.149037 127.1423 + 36 2.160540 123.7544 + 37 2.172019 120.4567 + 38 2.183473 117.2470 + 39 2.194901 114.1228 + 40 2.206304 111.0818 + 41 2.217682 108.1218 + 42 2.229033 105.2407 + 43 2.240358 102.4364 + 44 2.251656 99.70685 + 45 2.262928 97.05001 + 46 2.274174 94.46396 + 47 2.285395 91.94681 + 48 2.296591 89.49674 + 49 2.307765 87.11196 + 50 2.318916 84.79073 + 51 2.330045 82.53134 + 52 2.341154 80.33216 + 53 2.352243 78.19158 + 54 2.363315 76.10805 + 55 2.374369 74.08003 + 56 2.385408 72.10605 + 57 2.396430 70.18467 + 58 2.407438 68.31448 + 59 2.418430 66.49414 + 60 2.429408 64.72229 + 61 2.440371 62.99767 + 62 2.451321 61.31899 + 63 2.462257 59.68505 + 64 2.473179 58.09465 + 65 2.484089 56.54662 + 66 2.494987 55.03985 + 67 2.505872 53.57322 + 68 2.516746 52.14568 + 69 2.527608 50.75618 + 70 2.538459 49.40370 + 71 2.549300 48.08726 + 72 2.560130 46.80590 + 73 2.570949 45.55868 + 74 2.581759 44.34470 + 75 2.592559 43.16306 + 76 2.603350 42.01291 + 77 2.614132 40.89341 + 78 2.624903 39.80374 + 79 2.635666 38.74311 + 80 2.646420 37.71074 + 81 2.657164 36.70587 + 82 2.667900 35.72779 + 83 2.678626 34.77576 + 84 2.689344 33.84911 + 85 2.700053 32.94714 + 86 2.710754 32.06922 + 87 2.721446 31.21468 + 88 2.732131 30.38292 + 89 2.742809 29.57331 + 90 2.753481 28.78529 + 91 2.764147 28.01826 + 92 2.774807 27.27167 + 93 2.785463 26.54497 + 94 2.796114 25.83764 + 95 2.806761 25.14915 + 96 2.817406 24.47901 + 97 2.828047 23.82673 + 98 2.838688 23.19183 + 99 2.849329 22.57385 +100 2.859974 21.97233 +101 2.870624 21.38684 +102 2.881280 20.81696 +103 2.891946 20.26226 +104 2.902623 19.72234 +105 2.913312 19.19680 +106 2.924017 18.68527 +107 2.934738 18.18737 +108 2.945479 17.70274 +109 2.956241 17.23103 +110 2.967025 16.77188 +111 2.977835 16.32496 +112 2.988671 15.88996 +113 2.999537 15.46655 +114 3.010433 15.05442 +115 3.021363 14.65327 +116 3.032329 14.26281 +117 3.043332 13.88275 +118 3.054376 13.51282 +119 3.065463 13.15275 +120 3.076595 12.80228 +121 3.087775 12.46114 +122 3.099006 12.12909 +123 3.110291 11.80589 +124 3.121633 11.49131 +125 3.133035 11.18510 +126 3.144502 10.88706 +127 3.156038 10.59696 +128 3.167646 10.31458 +129 3.179331 10.03973 +130 3.191096 9.772210 +131 3.202945 9.511814 +132 3.214879 9.258356 +133 3.226900 9.011653 +134 3.239011 8.771523 +135 3.251213 8.537792 +136 3.263509 8.310289 +137 3.275902 8.088848 +138 3.288395 7.873308 +139 3.300989 7.663511 +140 3.313689 7.459304 +141 3.326497 7.260539 +142 3.339417 7.067071 +143 3.352452 6.878757 +144 3.365605 6.695462 +145 3.378879 6.517051 +146 3.392278 6.343394 +147 3.405808 6.174364 +148 3.419471 6.009838 +149 3.433273 5.849696 +150 3.447221 5.693822 +151 3.461318 5.542101 +152 3.475571 5.394423 +153 3.489982 5.250680 +154 3.504557 5.110767 +155 3.519299 4.974583 +156 3.534211 4.842027 +157 3.549298 4.713004 +158 3.564563 4.587418 +159 3.580013 4.465179 +160 3.595646 4.346197 +161 3.611427 4.230386 +162 3.627313 4.117661 +163 3.643287 4.007939 +164 3.659385 3.901141 +165 3.675654 3.797189 +166 3.692144 3.696007 +167 3.708910 3.597521 +168 3.725984 3.501659 +169 3.743346 3.408352 +170 3.760963 3.317531 +171 3.778809 3.229130 +172 3.796885 3.143085 +173 3.815201 3.059332 +174 3.833770 2.977812 +175 3.852601 2.898463 +176 3.871704 2.821229 +177 3.891089 2.746053 +178 3.910764 2.672880 +179 3.930742 2.601657 +180 3.951031 2.532331 +181 3.971643 2.464853 +182 3.992581 2.399173 +183 4.013839 2.335244 +184 4.035408 2.273017 +185 4.057277 2.212449 +186 4.079434 2.153495 +187 4.101870 2.096112 +188 4.124578 2.040258 +189 4.147599 1.985892 +190 4.171056 1.932974 +191 4.195085 1.881467 +192 4.219839 1.831333 +193 4.245482 1.782534 +194 4.272044 1.735035 +195 4.299113 1.688803 +196 4.326664 1.643802 +197 4.354708 1.600000 +198 4.501096 1.400000 +199 4.687615 1.200000 diff --git a/2024-12-06/X225624.340 b/2024-12-06/X225624.340 new file mode 100644 index 0000000..6020f35 --- /dev/null +++ b/2024-12-06/X225624.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-12-06 +Serial Number: X225624 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.76452,303.677 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.717262 330.0000 + 2 1.741520 310.0000 + 3 1.752095 301.7396 + 4 1.762760 293.6992 + 5 1.773498 285.8731 + 6 1.784304 278.2556 + 7 1.795174 270.8410 + 8 1.806101 263.6240 + 9 1.817079 256.5994 + 10 1.828103 249.7619 + 11 1.839167 243.1066 + 12 1.850267 236.6286 + 13 1.861401 230.3233 + 14 1.872565 224.1859 + 15 1.883757 218.2121 + 16 1.894972 212.3975 + 17 1.906209 206.7379 + 18 1.917463 201.2290 + 19 1.928731 195.8669 + 20 1.940011 190.6478 + 21 1.951298 185.5676 + 22 1.962590 180.6229 + 23 1.973883 175.8099 + 24 1.985174 171.1252 + 25 1.996459 166.5653 + 26 2.007736 162.1269 + 27 2.019001 157.8068 + 28 2.030251 153.6017 + 29 2.041481 149.5088 + 30 2.052690 145.5249 + 31 2.063876 141.6471 + 32 2.075038 137.8727 + 33 2.086173 134.1989 + 34 2.097283 130.6229 + 35 2.108366 127.1423 + 36 2.119424 123.7544 + 37 2.130458 120.4567 + 38 2.141468 117.2470 + 39 2.152455 114.1228 + 40 2.163421 111.0818 + 41 2.174365 108.1218 + 42 2.185288 105.2407 + 43 2.196187 102.4364 + 44 2.207063 99.70685 + 45 2.217915 97.05001 + 46 2.228744 94.46396 + 47 2.239548 91.94681 + 48 2.250329 89.49674 + 49 2.261087 87.11196 + 50 2.271822 84.79073 + 51 2.282535 82.53134 + 52 2.293227 80.33216 + 53 2.303898 78.19158 + 54 2.314550 76.10805 + 55 2.325184 74.08003 + 56 2.335801 72.10605 + 57 2.346402 70.18467 + 58 2.356986 68.31448 + 59 2.367555 66.49414 + 60 2.378108 64.72229 + 61 2.388645 62.99767 + 62 2.399169 61.31899 + 63 2.409677 59.68505 + 64 2.420172 58.09465 + 65 2.430653 56.54662 + 66 2.441121 55.03985 + 67 2.451576 53.57322 + 68 2.462018 52.14568 + 69 2.472448 50.75618 + 70 2.482866 49.40370 + 71 2.493273 48.08726 + 72 2.503669 46.80590 + 73 2.514054 45.55868 + 74 2.524428 44.34470 + 75 2.534791 43.16306 + 76 2.545144 42.01291 + 77 2.555484 40.89341 + 78 2.565813 39.80374 + 79 2.576128 38.74311 + 80 2.586430 37.71074 + 81 2.596719 36.70587 + 82 2.606996 35.72779 + 83 2.617261 34.77576 + 84 2.627519 33.84911 + 85 2.637769 32.94714 + 86 2.648013 32.06922 + 87 2.658255 31.21468 + 88 2.668494 30.38292 + 89 2.678731 29.57331 + 90 2.688965 28.78529 + 91 2.699195 28.01826 + 92 2.709421 27.27167 + 93 2.719641 26.54497 + 94 2.729856 25.83764 + 95 2.740065 25.14915 + 96 2.750267 24.47901 + 97 2.760463 23.82673 + 98 2.770651 23.19183 + 99 2.780836 22.57385 +100 2.791019 21.97233 +101 2.801202 21.38684 +102 2.811388 20.81696 +103 2.821578 20.26226 +104 2.831774 19.72234 +105 2.841979 19.19680 +106 2.852195 18.68527 +107 2.862424 18.18737 +108 2.872669 17.70274 +109 2.882930 17.23103 +110 2.893211 16.77188 +111 2.903514 16.32496 +112 2.913840 15.88996 +113 2.924192 15.46655 +114 2.934572 15.05442 +115 2.944982 14.65327 +116 2.955425 14.26281 +117 2.965903 13.88275 +118 2.976419 13.51282 +119 2.986976 13.15275 +120 2.997575 12.80228 +121 3.008221 12.46114 +122 3.018915 12.12909 +123 3.029661 11.80589 +124 3.040461 11.49131 +125 3.051315 11.18510 +126 3.062221 10.88706 +127 3.073179 10.59696 +128 3.084190 10.31458 +129 3.095253 10.03973 +130 3.106370 9.772210 +131 3.117558 9.511814 +132 3.128835 9.258356 +133 3.140218 9.011653 +134 3.151706 8.771523 +135 3.163289 8.537792 +136 3.174960 8.310289 +137 3.186718 8.088848 +138 3.198563 7.873308 +139 3.210497 7.663511 +140 3.222522 7.459304 +141 3.234639 7.260539 +142 3.246849 7.067071 +143 3.259157 6.878757 +144 3.271567 6.695462 +145 3.284085 6.517051 +146 3.296716 6.343394 +147 3.309463 6.174364 +148 3.322330 6.009838 +149 3.335323 5.849696 +150 3.348447 5.693822 +151 3.361706 5.542101 +152 3.375105 5.394423 +153 3.388649 5.250680 +154 3.402340 5.110767 +155 3.416183 4.974583 +156 3.430180 4.842027 +157 3.444335 4.713004 +158 3.458647 4.587418 +159 3.473113 4.465179 +160 3.487727 4.346197 +161 3.502487 4.230386 +162 3.517388 4.117661 +163 3.532432 4.007939 +164 3.547633 3.901141 +165 3.563011 3.797189 +166 3.578583 3.696007 +167 3.594370 3.597521 +168 3.610387 3.501659 +169 3.626636 3.408352 +170 3.643117 3.317531 +171 3.659830 3.229130 +172 3.676772 3.143085 +173 3.693942 3.059332 +174 3.711337 2.977812 +175 3.728956 2.898463 +176 3.746811 2.821229 +177 3.764909 2.746053 +178 3.783262 2.672880 +179 3.801879 2.601657 +180 3.820773 2.532331 +181 3.839953 2.464853 +182 3.859428 2.399173 +183 3.879197 2.335244 +184 3.899260 2.273017 +185 3.919614 2.212449 +186 3.940259 2.153495 +187 3.961194 2.096112 +188 3.982422 2.040258 +189 4.003946 1.985892 +190 4.025767 1.932974 +191 4.047887 1.881467 +192 4.070307 1.831333 +193 4.093027 1.782534 +194 4.116066 1.735035 +195 4.139503 1.688803 +196 4.163355 1.643802 +197 4.187636 1.600000 +198 4.314377 1.400000 +199 4.475864 1.200000 diff --git a/2024-12-09/X142475.340 b/2024-12-09/X142475.340 new file mode 100644 index 0000000..02c2b25 --- /dev/null +++ b/2024-12-09/X142475.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-09 +Serial Number: X142475 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.81906,304.112 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.517256 330.0000 + 2 1.533341 310.0000 + 3 1.540360 301.7396 + 4 1.547414 293.6992 + 5 1.554494 285.8731 + 6 1.561597 278.2556 + 7 1.568718 270.8410 + 8 1.575856 263.6240 + 9 1.583005 256.5994 + 10 1.590163 249.7619 + 11 1.597325 243.1066 + 12 1.604490 236.6286 + 13 1.611656 230.3233 + 14 1.618822 224.1859 + 15 1.625986 218.2121 + 16 1.633146 212.3975 + 17 1.640300 206.7379 + 18 1.647448 201.2290 + 19 1.654586 195.8669 + 20 1.661715 190.6478 + 21 1.668831 185.5676 + 22 1.675930 180.6229 + 23 1.683009 175.8099 + 24 1.690064 171.1252 + 25 1.697091 166.5653 + 26 1.704087 162.1269 + 27 1.711048 157.8068 + 28 1.717971 153.6017 + 29 1.724856 149.5088 + 30 1.731702 145.5249 + 31 1.738508 141.6471 + 32 1.745276 137.8727 + 33 1.752005 134.1989 + 34 1.758695 130.6229 + 35 1.765348 127.1423 + 36 1.771964 123.7544 + 37 1.778542 120.4567 + 38 1.785084 117.2470 + 39 1.791589 114.1228 + 40 1.798058 111.0818 + 41 1.804491 108.1218 + 42 1.810890 105.2407 + 43 1.817253 102.4364 + 44 1.823581 99.70685 + 45 1.829876 97.05001 + 46 1.836137 94.46396 + 47 1.842367 91.94681 + 48 1.848565 89.49674 + 49 1.854734 87.11196 + 50 1.860873 84.79073 + 51 1.866985 82.53134 + 52 1.873068 80.33216 + 53 1.879124 78.19158 + 54 1.885153 76.10805 + 55 1.891156 74.08003 + 56 1.897132 72.10605 + 57 1.903081 70.18467 + 58 1.909004 68.31448 + 59 1.914900 66.49414 + 60 1.920770 64.72229 + 61 1.926612 62.99767 + 62 1.932428 61.31899 + 63 1.938216 59.68505 + 64 1.943978 58.09465 + 65 1.949713 56.54662 + 66 1.955420 55.03985 + 67 1.961101 53.57322 + 68 1.966754 52.14568 + 69 1.972379 50.75618 + 70 1.977978 49.40370 + 71 1.983549 48.08726 + 72 1.989092 46.80590 + 73 1.994608 45.55868 + 74 2.000096 44.34470 + 75 2.005557 43.16306 + 76 2.010990 42.01291 + 77 2.016395 40.89341 + 78 2.021773 39.80374 + 79 2.027122 38.74311 + 80 2.032443 37.71074 + 81 2.037736 36.70587 + 82 2.043001 35.72779 + 83 2.048237 34.77576 + 84 2.053445 33.84911 + 85 2.058624 32.94714 + 86 2.063775 32.06922 + 87 2.068897 31.21468 + 88 2.073991 30.38292 + 89 2.079057 29.57331 + 90 2.084096 28.78529 + 91 2.089108 28.01826 + 92 2.094094 27.27167 + 93 2.099053 26.54497 + 94 2.103987 25.83764 + 95 2.108896 25.14915 + 96 2.113780 24.47901 + 97 2.118640 23.82673 + 98 2.123478 23.19183 + 99 2.128293 22.57385 +100 2.133089 21.97233 +101 2.137867 21.38684 +102 2.142628 20.81696 +103 2.147374 20.26226 +104 2.152107 19.72234 +105 2.156827 19.19680 +106 2.161538 18.68527 +107 2.166240 18.18737 +108 2.170934 17.70274 +109 2.175623 17.23103 +110 2.180308 16.77188 +111 2.184990 16.32496 +112 2.189670 15.88996 +113 2.194349 15.46655 +114 2.199029 15.05442 +115 2.203708 14.65327 +116 2.208389 14.26281 +117 2.213071 13.88275 +118 2.217756 13.51282 +119 2.222444 13.15275 +120 2.227136 12.80228 +121 2.231832 12.46114 +122 2.236534 12.12909 +123 2.241242 11.80589 +124 2.245958 11.49131 +125 2.250681 11.18510 +126 2.255415 10.88706 +127 2.260162 10.59696 +128 2.264924 10.31458 +129 2.269704 10.03973 +130 2.274504 9.772210 +131 2.279326 9.511814 +132 2.284171 9.258356 +133 2.289040 9.011653 +134 2.293933 8.771523 +135 2.298851 8.537792 +136 2.303794 8.310289 +137 2.308764 8.088848 +138 2.313761 7.873308 +139 2.318785 7.663511 +140 2.323838 7.459304 +141 2.328919 7.260539 +142 2.334030 7.067071 +143 2.339172 6.878757 +144 2.344344 6.695462 +145 2.349548 6.517051 +146 2.354784 6.343394 +147 2.360053 6.174364 +148 2.365355 6.009838 +149 2.370692 5.849696 +150 2.376065 5.693822 +151 2.381475 5.542101 +152 2.386925 5.394423 +153 2.392414 5.250680 +154 2.397943 5.110767 +155 2.403513 4.974583 +156 2.409125 4.842027 +157 2.414780 4.713004 +158 2.420477 4.587418 +159 2.426219 4.465179 +160 2.432004 4.346197 +161 2.437834 4.230386 +162 2.443710 4.117661 +163 2.449633 4.007939 +164 2.455603 3.901141 +165 2.461622 3.797189 +166 2.467692 3.696007 +167 2.473814 3.597521 +168 2.479990 3.501659 +169 2.486220 3.408352 +170 2.492507 3.317531 +171 2.498853 3.229130 +172 2.505258 3.143085 +173 2.511724 3.059332 +174 2.518252 2.977812 +175 2.524843 2.898463 +176 2.531499 2.821229 +177 2.538219 2.746053 +178 2.545005 2.672880 +179 2.551858 2.601657 +180 2.558778 2.532331 +181 2.565767 2.464853 +182 2.572823 2.399173 +183 2.579948 2.335244 +184 2.587142 2.273017 +185 2.594405 2.212449 +186 2.601736 2.153495 +187 2.609138 2.096112 +188 2.616611 2.040258 +189 2.624158 1.985892 +190 2.631781 1.932974 +191 2.639482 1.881467 +192 2.647263 1.831333 +193 2.655139 1.782534 +194 2.663152 1.735035 +195 2.671306 1.688803 +196 2.679605 1.643802 +197 2.688053 1.600000 +198 2.690036 1.590000 +199 2.692040 1.580000 diff --git a/2024-12-09/X149797.340 b/2024-12-09/X149797.340 new file mode 100644 index 0000000..1619538 --- /dev/null +++ b/2024-12-09/X149797.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-12-09 +Serial Number: X149797 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.81922,304.34 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.773325 330.0000 + 2 1.798227 310.0000 + 3 1.809118 301.7396 + 4 1.820051 293.6992 + 5 1.831038 285.8731 + 6 1.842075 278.2556 + 7 1.853156 270.8410 + 8 1.864275 263.6240 + 9 1.875428 256.5994 + 10 1.886607 249.7619 + 11 1.897807 243.1066 + 12 1.909026 236.6286 + 13 1.920259 230.3233 + 14 1.931505 224.1859 + 15 1.942761 218.2121 + 16 1.954023 212.3975 + 17 1.965289 206.7379 + 18 1.976555 201.2290 + 19 1.987819 195.8669 + 20 1.999078 190.6478 + 21 2.010329 185.5676 + 22 2.021569 180.6229 + 23 2.032794 175.8099 + 24 2.044003 171.1252 + 25 2.055192 166.5653 + 26 2.066358 162.1269 + 27 2.077499 157.8068 + 28 2.088612 153.6017 + 29 2.099694 149.5088 + 30 2.110743 145.5249 + 31 2.121759 141.6471 + 32 2.132741 137.8727 + 33 2.143689 134.1989 + 34 2.154602 130.6229 + 35 2.165482 127.1423 + 36 2.176326 123.7544 + 37 2.187136 120.4567 + 38 2.197911 117.2470 + 39 2.208650 114.1228 + 40 2.219353 111.0818 + 41 2.230021 108.1218 + 42 2.240654 105.2407 + 43 2.251249 102.4364 + 44 2.261809 99.70685 + 45 2.272333 97.05001 + 46 2.282821 94.46396 + 47 2.293275 91.94681 + 48 2.303695 89.49674 + 49 2.314082 87.11196 + 50 2.324437 84.79073 + 51 2.334761 82.53134 + 52 2.345055 80.33216 + 53 2.355319 78.19158 + 54 2.365554 76.10805 + 55 2.375762 74.08003 + 56 2.385941 72.10605 + 57 2.396094 70.18467 + 58 2.406219 68.31448 + 59 2.416317 66.49414 + 60 2.426387 64.72229 + 61 2.436430 62.99767 + 62 2.446446 61.31899 + 63 2.456435 59.68505 + 64 2.466397 58.09465 + 65 2.476332 56.54662 + 66 2.486240 55.03985 + 67 2.496122 53.57322 + 68 2.505976 52.14568 + 69 2.515804 50.75618 + 70 2.525605 49.40370 + 71 2.535379 48.08726 + 72 2.545127 46.80590 + 73 2.554848 45.55868 + 74 2.564543 44.34470 + 75 2.574212 43.16306 + 76 2.583853 42.01291 + 77 2.593467 40.89341 + 78 2.603053 39.80374 + 79 2.612611 38.74311 + 80 2.622140 37.71074 + 81 2.631640 36.70587 + 82 2.641112 35.72779 + 83 2.650561 34.77576 + 84 2.659988 33.84911 + 85 2.669396 32.94714 + 86 2.678786 32.06922 + 87 2.688156 31.21468 + 88 2.697509 30.38292 + 89 2.706841 29.57331 + 90 2.716153 28.78529 + 91 2.725443 28.01826 + 92 2.734709 27.27167 + 93 2.743951 26.54497 + 94 2.753167 25.83764 + 95 2.762356 25.14915 + 96 2.771523 24.47901 + 97 2.780669 23.82673 + 98 2.789800 23.19183 + 99 2.798918 22.57385 +100 2.808026 21.97233 +101 2.817127 21.38684 +102 2.826222 20.81696 +103 2.835313 20.26226 +104 2.844404 19.72234 +105 2.853495 19.19680 +106 2.862590 18.68527 +107 2.871691 18.18737 +108 2.880800 17.70274 +109 2.889919 17.23103 +110 2.899051 16.77188 +111 2.908197 16.32496 +112 2.917359 15.88996 +113 2.926541 15.46655 +114 2.935745 15.05442 +115 2.944972 14.65327 +116 2.954225 14.26281 +117 2.963508 13.88275 +118 2.972821 13.51282 +119 2.982169 13.15275 +120 2.991554 12.80228 +121 3.000978 12.46114 +122 3.010446 12.12909 +123 3.019959 11.80589 +124 3.029521 11.49131 +125 3.039136 11.18510 +126 3.048807 10.88706 +127 3.058538 10.59696 +128 3.068334 10.31458 +129 3.078198 10.03973 +130 3.088135 9.772210 +131 3.098147 9.511814 +132 3.108236 9.258356 +133 3.118405 9.011653 +134 3.128658 8.771523 +135 3.138996 8.537792 +136 3.149423 8.310289 +137 3.159941 8.088848 +138 3.170555 7.873308 +139 3.181267 7.663511 +140 3.192080 7.459304 +141 3.202996 7.260539 +142 3.214018 7.067071 +143 3.225149 6.878757 +144 3.236392 6.695462 +145 3.247749 6.517051 +146 3.259223 6.343394 +147 3.270817 6.174364 +148 3.282535 6.009838 +149 3.294380 5.849696 +150 3.306357 5.693822 +151 3.318471 5.542101 +152 3.330727 5.394423 +153 3.343127 5.250680 +154 3.355676 5.110767 +155 3.368377 4.974583 +156 3.381233 4.842027 +157 3.394248 4.713004 +158 3.407424 4.587418 +159 3.420767 4.465179 +160 3.434278 4.346197 +161 3.447962 4.230386 +162 3.461823 4.117661 +163 3.475865 4.007939 +164 3.490094 3.901141 +165 3.504515 3.797189 +166 3.519134 3.696007 +167 3.533958 3.597521 +168 3.548992 3.501659 +169 3.564244 3.408352 +170 3.579720 3.317531 +171 3.595428 3.229130 +172 3.611378 3.143085 +173 3.627577 3.059332 +174 3.644035 2.977812 +175 3.660759 2.898463 +176 3.677758 2.821229 +177 3.695034 2.746053 +178 3.712577 2.672880 +179 3.730378 2.601657 +180 3.748439 2.532331 +181 3.766780 2.464853 +182 3.785421 2.399173 +183 3.804373 2.335244 +184 3.823634 2.273017 +185 3.843204 2.212449 +186 3.863078 2.153495 +187 3.883259 2.096112 +188 3.903747 2.040258 +189 3.924544 1.985892 +190 3.945651 1.932974 +191 3.967069 1.881467 +192 3.988796 1.831333 +193 4.010851 1.782534 +194 4.033288 1.735035 +195 4.056118 1.688803 +196 4.079355 1.643802 +197 4.103008 1.600000 +198 4.108559 1.590000 +199 4.114169 1.580000 diff --git a/2024-12-09/X221296.340 b/2024-12-09/X221296.340 new file mode 100644 index 0000000..32b1fed --- /dev/null +++ b/2024-12-09/X221296.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-09 +Serial Number: X221296 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.81918,304.225 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.824832 330.0000 + 2 1.850246 310.0000 + 3 1.861334 301.7396 + 4 1.872494 293.6992 + 5 1.883713 285.8731 + 6 1.894986 278.2556 + 7 1.906308 270.8410 + 8 1.917674 263.6240 + 9 1.929078 256.5994 + 10 1.940515 249.7619 + 11 1.951978 243.1066 + 12 1.963466 236.6286 + 13 1.974975 230.3233 + 14 1.986503 224.1859 + 15 1.998048 218.2121 + 16 2.009607 212.3975 + 17 2.021177 206.7379 + 18 2.032756 201.2290 + 19 2.044340 195.8669 + 20 2.055928 190.6478 + 21 2.067517 185.5676 + 22 2.079103 180.6229 + 23 2.090684 175.8099 + 24 2.102258 171.1252 + 25 2.113822 166.5653 + 26 2.125373 162.1269 + 27 2.136909 157.8068 + 28 2.148429 153.6017 + 29 2.159932 149.5088 + 30 2.171420 145.5249 + 31 2.182892 141.6471 + 32 2.194342 137.8727 + 33 2.205760 134.1989 + 34 2.217140 130.6229 + 35 2.228480 127.1423 + 36 2.239782 123.7544 + 37 2.251044 120.4567 + 38 2.262272 117.2470 + 39 2.273470 114.1228 + 40 2.284645 111.0818 + 41 2.295802 108.1218 + 42 2.306942 105.2407 + 43 2.318063 102.4364 + 44 2.329163 99.70685 + 45 2.340243 97.05001 + 46 2.351302 94.46396 + 47 2.362339 91.94681 + 48 2.373356 89.49674 + 49 2.384351 87.11196 + 50 2.395326 84.79073 + 51 2.406279 82.53134 + 52 2.417212 80.33216 + 53 2.428127 78.19158 + 54 2.439024 76.10805 + 55 2.449906 74.08003 + 56 2.460772 72.10605 + 57 2.471623 70.18467 + 58 2.482461 68.31448 + 59 2.493285 66.49414 + 60 2.504095 64.72229 + 61 2.514894 62.99767 + 62 2.525680 61.31899 + 63 2.536454 59.68505 + 64 2.547217 58.09465 + 65 2.557970 56.54662 + 66 2.568712 55.03985 + 67 2.579444 53.57322 + 68 2.590167 52.14568 + 69 2.600882 50.75618 + 70 2.611587 49.40370 + 71 2.622285 48.08726 + 72 2.632975 46.80590 + 73 2.643658 45.55868 + 74 2.654335 44.34470 + 75 2.665004 43.16306 + 76 2.675666 42.01291 + 77 2.686319 40.89341 + 78 2.696963 39.80374 + 79 2.707597 38.74311 + 80 2.718219 37.71074 + 81 2.728829 36.70587 + 82 2.739428 35.72779 + 83 2.750017 34.77576 + 84 2.760596 33.84911 + 85 2.771168 32.94714 + 86 2.781734 32.06922 + 87 2.792296 31.21468 + 88 2.802854 30.38292 + 89 2.813410 29.57331 + 90 2.823964 28.78529 + 91 2.834515 28.01826 + 92 2.845063 27.27167 + 93 2.855608 26.54497 + 94 2.866150 25.83764 + 95 2.876689 25.14915 + 96 2.887225 24.47901 + 97 2.897757 23.82673 + 98 2.908288 23.19183 + 99 2.918818 22.57385 +100 2.929351 21.97233 +101 2.939887 21.38684 +102 2.950430 20.81696 +103 2.960981 20.26226 +104 2.971543 19.72234 +105 2.982117 19.19680 +106 2.992705 18.68527 +107 3.003310 18.18737 +108 3.013934 17.70274 +109 3.024578 17.23103 +110 3.035245 16.77188 +111 3.045937 16.32496 +112 3.056656 15.88996 +113 3.067404 15.46655 +114 3.078183 15.05442 +115 3.088995 14.65327 +116 3.099844 14.26281 +117 3.110731 13.88275 +118 3.121658 13.51282 +119 3.132629 13.15275 +120 3.143646 12.80228 +121 3.154711 12.46114 +122 3.165829 12.12909 +123 3.177001 11.80589 +124 3.188231 11.49131 +125 3.199522 11.18510 +126 3.210874 10.88706 +127 3.222285 10.59696 +128 3.233754 10.31458 +129 3.245287 10.03973 +130 3.256890 9.772210 +131 3.268570 9.511814 +132 3.280332 9.258356 +133 3.292182 9.011653 +134 3.304122 8.771523 +135 3.316158 8.537792 +136 3.328289 8.310289 +137 3.340516 8.088848 +138 3.352838 7.873308 +139 3.365259 7.663511 +140 3.377781 7.459304 +141 3.390407 7.260539 +142 3.403142 7.067071 +143 3.415988 6.878757 +144 3.428950 6.695462 +145 3.442030 6.517051 +146 3.455233 6.343394 +147 3.468562 6.174364 +148 3.482022 6.009838 +149 3.495616 5.849696 +150 3.509351 5.693822 +151 3.523230 5.542101 +152 3.537259 5.394423 +153 3.551440 5.250680 +154 3.565777 5.110767 +155 3.580274 4.974583 +156 3.594935 4.842027 +157 3.609765 4.713004 +158 3.624771 4.587418 +159 3.639958 4.465179 +160 3.655331 4.346197 +161 3.670897 4.230386 +162 3.686652 4.117661 +163 3.702585 4.007939 +164 3.718689 3.901141 +165 3.734967 3.797189 +166 3.751445 3.696007 +167 3.768149 3.597521 +168 3.785095 3.501659 +169 3.802282 3.408352 +170 3.819710 3.317531 +171 3.837381 3.229130 +172 3.855303 3.143085 +173 3.873482 3.059332 +174 3.891925 2.977812 +175 3.910639 2.898463 +176 3.929631 2.821229 +177 3.948906 2.746053 +178 3.968472 2.672880 +179 3.988335 2.601657 +180 4.008502 2.532331 +181 4.028979 2.464853 +182 4.049772 2.399173 +183 4.070886 2.335244 +184 4.092328 2.273017 +185 4.114102 2.212449 +186 4.136213 2.153495 +187 4.158670 2.096112 +188 4.181486 2.040258 +189 4.204671 1.985892 +190 4.228240 1.932974 +191 4.252204 1.881467 +192 4.276577 1.831333 +193 4.301377 1.782534 +194 4.326602 1.735035 +195 4.352269 1.688803 +196 4.378393 1.643802 +197 4.404985 1.600000 +198 4.411227 1.590000 +199 4.417534 1.580000 diff --git a/2024-12-09/X221297.340 b/2024-12-09/X221297.340 new file mode 100644 index 0000000..a6dfe72 --- /dev/null +++ b/2024-12-09/X221297.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-09 +Serial Number: X221297 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.81933,121.938 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.561789 330.0000 + 2 1.585326 310.0000 + 3 1.595603 301.7396 + 4 1.605939 293.6992 + 5 1.616331 285.8731 + 6 1.626773 278.2556 + 7 1.637261 270.8410 + 8 1.647790 263.6240 + 9 1.658354 256.5994 + 10 1.668947 249.7619 + 11 1.679565 243.1066 + 12 1.690205 236.6286 + 13 1.700864 230.3233 + 14 1.711539 224.1859 + 15 1.722228 218.2121 + 16 1.732929 212.3975 + 17 1.743639 206.7379 + 18 1.754354 201.2290 + 19 1.765073 195.8669 + 20 1.775792 190.6478 + 21 1.786510 185.5676 + 22 1.797223 180.6229 + 23 1.807928 175.8099 + 24 1.818623 171.1252 + 25 1.829306 166.5653 + 26 1.839973 162.1269 + 27 1.850622 157.8068 + 28 1.861251 153.6017 + 29 1.871857 149.5088 + 30 1.882438 145.5249 + 31 1.892994 141.6471 + 32 1.903524 137.8727 + 33 1.914029 134.1989 + 34 1.924508 130.6229 + 35 1.934961 127.1423 + 36 1.945388 123.7544 + 37 1.955795 120.4567 + 38 1.966235 117.2470 + 39 1.976711 114.1228 + 40 1.987213 111.0818 + 41 1.997736 108.1218 + 42 2.008269 105.2407 + 43 2.018807 102.4364 + 44 2.029340 99.70685 + 45 2.039863 97.05001 + 46 2.050369 94.46396 + 47 2.060851 91.94681 + 48 2.071309 89.49674 + 49 2.081750 87.11196 + 50 2.092184 84.79073 + 51 2.102621 82.53134 + 52 2.113068 80.33216 + 53 2.123534 78.19158 + 54 2.134028 76.10805 + 55 2.144545 74.08003 + 56 2.155065 72.10605 + 57 2.165569 70.18467 + 58 2.176043 68.31448 + 59 2.186494 66.49414 + 60 2.196929 64.72229 + 61 2.207358 62.99767 + 62 2.217786 61.31899 + 63 2.228223 59.68505 + 64 2.238675 58.09465 + 65 2.249144 56.54662 + 66 2.259619 55.03985 + 67 2.270093 53.57322 + 68 2.280561 52.14568 + 69 2.291023 50.75618 + 70 2.301484 49.40370 + 71 2.311946 48.08726 + 72 2.322414 46.80590 + 73 2.332892 45.55868 + 74 2.343381 44.34470 + 75 2.353881 43.16306 + 76 2.364385 42.01291 + 77 2.374883 40.89341 + 78 2.385369 39.80374 + 79 2.395843 38.74311 + 80 2.406310 37.71074 + 81 2.416771 36.70587 + 82 2.427229 35.72779 + 83 2.437687 34.77576 + 84 2.448147 33.84911 + 85 2.458614 32.94714 + 86 2.469096 32.06922 + 87 2.479603 31.21468 + 88 2.490141 30.38292 + 89 2.500703 29.57331 + 90 2.511271 28.78529 + 91 2.521833 28.01826 + 92 2.532372 27.27167 + 93 2.542875 26.54497 + 94 2.553326 25.83764 + 95 2.563744 25.14915 + 96 2.574229 24.47901 + 97 2.584897 23.82673 + 98 2.595825 23.19183 + 99 2.606690 22.57385 +100 2.616946 21.97233 +101 2.626087 21.38684 +102 2.634795 20.81696 +103 2.645096 20.26226 +104 2.659087 19.72234 +105 2.677795 19.19680 +106 2.698616 18.68527 +107 2.718167 18.18737 +108 2.733394 17.70274 +109 2.744522 17.23103 +110 2.753602 16.77188 +111 2.762713 16.32496 +112 2.773050 15.88996 +113 2.784208 15.46655 +114 2.795608 15.05442 +115 2.806777 14.65327 +116 2.817729 14.26281 +117 2.828616 13.88275 +118 2.839582 13.51282 +119 2.850671 13.15275 +120 2.861848 12.80228 +121 2.873078 12.46114 +122 2.884339 12.12909 +123 2.895638 11.80589 +124 2.906988 11.49131 +125 2.918399 11.18510 +126 2.929876 10.88706 +127 2.941421 10.59696 +128 2.953038 10.31458 +129 2.964730 10.03973 +130 2.976502 9.772210 +131 2.988358 9.511814 +132 3.000301 9.258356 +133 3.012333 9.011653 +134 3.024458 8.771523 +135 3.036680 8.537792 +136 3.049002 8.310289 +137 3.061429 8.088848 +138 3.073963 7.873308 +139 3.086606 7.663511 +140 3.099359 7.459304 +141 3.112220 7.260539 +142 3.125190 7.067071 +143 3.138268 6.878757 +144 3.151453 6.695462 +145 3.164750 6.517051 +146 3.178183 6.343394 +147 3.191781 6.174364 +148 3.205572 6.009838 +149 3.219545 5.849696 +150 3.233666 5.693822 +151 3.247897 5.542101 +152 3.262220 5.394423 +153 3.276666 5.250680 +154 3.291268 5.110767 +155 3.306058 4.974583 +156 3.321035 4.842027 +157 3.336197 4.713004 +158 3.351538 4.587418 +159 3.367059 4.465179 +160 3.382764 4.346197 +161 3.398656 4.230386 +162 3.414739 4.117661 +163 3.431018 4.007939 +164 3.447498 3.901141 +165 3.464185 3.797189 +166 3.481085 3.696007 +167 3.498205 3.597521 +168 3.515552 3.501659 +169 3.533136 3.408352 +170 3.550967 3.317531 +171 3.569057 3.229130 +172 3.587416 3.143085 +173 3.606057 3.059332 +174 3.624989 2.977812 +175 3.644225 2.898463 +176 3.663776 2.821229 +177 3.683638 2.746053 +178 3.703793 2.672880 +179 3.724217 2.601657 +180 3.744914 2.532331 +181 3.765921 2.464853 +182 3.787279 2.399173 +183 3.809003 2.335244 +184 3.831083 2.273017 +185 3.853508 2.212449 +186 3.876274 2.153495 +187 3.899392 2.096112 +188 3.922872 2.040258 +189 3.946727 1.985892 +190 3.970970 1.932974 +191 3.995613 1.881467 +192 4.020670 1.831333 +193 4.046157 1.782534 +194 4.072085 1.735035 +195 4.098469 1.688803 +196 4.125321 1.643802 +197 4.152656 1.600000 +198 4.159071 1.590000 +199 4.165555 1.580000 diff --git a/2024-12-09/X221298.340 b/2024-12-09/X221298.340 new file mode 100644 index 0000000..86fa60b --- /dev/null +++ b/2024-12-09/X221298.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-09 +Serial Number: X221298 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.81944,304.5 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.828920 330.0000 + 2 1.854263 310.0000 + 3 1.865324 301.7396 + 4 1.876455 293.6992 + 5 1.887647 285.8731 + 6 1.898896 278.2556 + 7 1.910196 270.8410 + 8 1.921542 263.6240 + 9 1.932928 256.5994 + 10 1.944348 249.7619 + 11 1.955798 243.1066 + 12 1.967273 236.6286 + 13 1.978772 230.3233 + 14 1.990291 224.1859 + 15 2.001828 218.2121 + 16 2.013381 212.3975 + 17 2.024946 206.7379 + 18 2.036521 201.2290 + 19 2.048103 195.8669 + 20 2.059688 190.6478 + 21 2.071276 185.5676 + 22 2.082861 180.6229 + 23 2.094443 175.8099 + 24 2.106017 171.1252 + 25 2.117581 166.5653 + 26 2.129133 162.1269 + 27 2.140670 157.8068 + 28 2.152190 153.6017 + 29 2.163697 149.5088 + 30 2.175190 145.5249 + 31 2.186670 141.6471 + 32 2.198130 137.8727 + 33 2.209560 134.1989 + 34 2.220955 130.6229 + 35 2.232310 127.1423 + 36 2.243625 123.7544 + 37 2.254899 120.4567 + 38 2.266135 117.2470 + 39 2.277340 114.1228 + 40 2.288523 111.0818 + 41 2.299690 108.1218 + 42 2.310840 105.2407 + 43 2.321973 102.4364 + 44 2.333087 99.70685 + 45 2.344181 97.05001 + 46 2.355255 94.46396 + 47 2.366309 91.94681 + 48 2.377343 89.49674 + 49 2.388356 87.11196 + 50 2.399348 84.79073 + 51 2.410320 82.53134 + 52 2.421272 80.33216 + 53 2.432207 78.19158 + 54 2.443124 76.10805 + 55 2.454025 74.08003 + 56 2.464912 72.10605 + 57 2.475784 70.18467 + 58 2.486643 68.31448 + 59 2.497488 66.49414 + 60 2.508321 64.72229 + 61 2.519141 62.99767 + 62 2.529949 61.31899 + 63 2.540745 59.68505 + 64 2.551531 58.09465 + 65 2.562306 56.54662 + 66 2.573070 55.03985 + 67 2.583825 53.57322 + 68 2.594571 52.14568 + 69 2.605308 50.75618 + 70 2.616036 49.40370 + 71 2.626757 48.08726 + 72 2.637470 46.80590 + 73 2.648175 45.55868 + 74 2.658874 44.34470 + 75 2.669566 43.16306 + 76 2.680250 42.01291 + 77 2.690926 40.89341 + 78 2.701593 39.80374 + 79 2.712249 38.74311 + 80 2.722895 37.71074 + 81 2.733529 36.70587 + 82 2.744153 35.72779 + 83 2.754766 34.77576 + 84 2.765371 33.84911 + 85 2.775969 32.94714 + 86 2.786561 32.06922 + 87 2.797149 31.21468 + 88 2.807734 30.38292 + 89 2.818317 29.57331 + 90 2.828898 28.78529 + 91 2.839476 28.01826 + 92 2.850052 27.27167 + 93 2.860625 26.54497 + 94 2.871195 25.83764 + 95 2.881763 25.14915 + 96 2.892327 24.47901 + 97 2.902889 23.82673 + 98 2.913449 23.19183 + 99 2.924010 22.57385 +100 2.934573 21.97233 +101 2.945140 21.38684 +102 2.955714 20.81696 +103 2.966297 20.26226 +104 2.976890 19.72234 +105 2.987495 19.19680 +106 2.998116 18.68527 +107 3.008753 18.18737 +108 3.019410 17.70274 +109 3.030087 17.23103 +110 3.040787 16.77188 +111 3.051513 16.32496 +112 3.062265 15.88996 +113 3.073047 15.46655 +114 3.083860 15.05442 +115 3.094707 14.65327 +116 3.105589 14.26281 +117 3.116510 13.88275 +118 3.127472 13.51282 +119 3.138478 13.15275 +120 3.149530 12.80228 +121 3.160630 12.46114 +122 3.171782 12.12909 +123 3.182989 11.80589 +124 3.194255 11.49131 +125 3.205581 11.18510 +126 3.216968 10.88706 +127 3.228414 10.59696 +128 3.239921 10.31458 +129 3.251491 10.03973 +130 3.263133 9.772210 +131 3.274852 9.511814 +132 3.286655 9.258356 +133 3.298545 9.011653 +134 3.310529 8.771523 +135 3.322611 8.537792 +136 3.334790 8.310289 +137 3.347066 8.088848 +138 3.359438 7.873308 +139 3.371907 7.663511 +140 3.384477 7.459304 +141 3.397152 7.260539 +142 3.409935 7.067071 +143 3.422831 6.878757 +144 3.435843 6.695462 +145 3.448975 6.517051 +146 3.462231 6.343394 +147 3.475615 6.174364 +148 3.489132 6.009838 +149 3.502786 5.849696 +150 3.516582 5.693822 +151 3.530524 5.542101 +152 3.544615 5.394423 +153 3.558860 5.250680 +154 3.573260 5.110767 +155 3.587818 4.974583 +156 3.602541 4.842027 +157 3.617434 4.713004 +158 3.632505 4.587418 +159 3.647759 4.465179 +160 3.663204 4.346197 +161 3.678847 4.230386 +162 3.694683 4.117661 +163 3.710696 4.007939 +164 3.726873 3.901141 +165 3.743220 3.797189 +166 3.759766 3.696007 +167 3.776545 3.597521 +168 3.793574 3.501659 +169 3.810850 3.408352 +170 3.828369 3.317531 +171 3.846133 3.229130 +172 3.864148 3.143085 +173 3.882421 3.059332 +174 3.900960 2.977812 +175 3.919771 2.898463 +176 3.938860 2.821229 +177 3.958235 2.746053 +178 3.977902 2.672880 +179 3.997868 2.601657 +180 4.018140 2.532331 +181 4.038724 2.464853 +182 4.059626 2.399173 +183 4.080852 2.335244 +184 4.102409 2.273017 +185 4.124300 2.212449 +186 4.146531 2.153495 +187 4.169112 2.096112 +188 4.192056 2.040258 +189 4.215374 1.985892 +190 4.239078 1.932974 +191 4.263183 1.881467 +192 4.287703 1.831333 +193 4.312645 1.782534 +194 4.338023 1.735035 +195 4.363848 1.688803 +196 4.390131 1.643802 +197 4.416885 1.600000 +198 4.423165 1.590000 +199 4.429511 1.580000 diff --git a/2024-12-12/X149796.340 b/2024-12-12/X149796.340 new file mode 100644 index 0000000..5f565a1 --- /dev/null +++ b/2024-12-12/X149796.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-12-12 +Serial Number: X149796 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.78142,303.719 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.778457 330.0000 + 2 1.803516 310.0000 + 3 1.814492 301.7396 + 4 1.825494 293.6992 + 5 1.836550 285.8731 + 6 1.847655 278.2556 + 7 1.858804 270.8410 + 8 1.869991 263.6240 + 9 1.881211 256.5994 + 10 1.892457 249.7619 + 11 1.903724 243.1066 + 12 1.915008 236.6286 + 13 1.926307 230.3233 + 14 1.937618 224.1859 + 15 1.948938 218.2121 + 16 1.960265 212.3975 + 17 1.971594 206.7379 + 18 1.982924 201.2290 + 19 1.994251 195.8669 + 20 2.005572 190.6478 + 21 2.016885 185.5676 + 22 2.028187 180.6229 + 23 2.039474 175.8099 + 24 2.050743 171.1252 + 25 2.061993 166.5653 + 26 2.073219 162.1269 + 27 2.084420 157.8068 + 28 2.095592 153.6017 + 29 2.106733 149.5088 + 30 2.117841 145.5249 + 31 2.128915 141.6471 + 32 2.139955 137.8727 + 33 2.150961 134.1989 + 34 2.161933 130.6229 + 35 2.172869 127.1423 + 36 2.183771 123.7544 + 37 2.194638 120.4567 + 38 2.205469 117.2470 + 39 2.216265 114.1228 + 40 2.227026 111.0818 + 41 2.237750 108.1218 + 42 2.248439 105.2407 + 43 2.259091 102.4364 + 44 2.269707 99.70685 + 45 2.280287 97.05001 + 46 2.290831 94.46396 + 47 2.301341 91.94681 + 48 2.311817 89.49674 + 49 2.322261 87.11196 + 50 2.332672 84.79073 + 51 2.343053 82.53134 + 52 2.353403 80.33216 + 53 2.363723 78.19158 + 54 2.374015 76.10805 + 55 2.384279 74.08003 + 56 2.394516 72.10605 + 57 2.404725 70.18467 + 58 2.414907 68.31448 + 59 2.425061 66.49414 + 60 2.435188 64.72229 + 61 2.445287 62.99767 + 62 2.455360 61.31899 + 63 2.465405 59.68505 + 64 2.475423 58.09465 + 65 2.485413 56.54662 + 66 2.495377 55.03985 + 67 2.505313 53.57322 + 68 2.515223 52.14568 + 69 2.525105 50.75618 + 70 2.534961 49.40370 + 71 2.544789 48.08726 + 72 2.554591 46.80590 + 73 2.564366 45.55868 + 74 2.574114 44.34470 + 75 2.583836 43.16306 + 76 2.593530 42.01291 + 77 2.603198 40.89341 + 78 2.612840 39.80374 + 79 2.622455 38.74311 + 80 2.632046 37.71074 + 81 2.641611 36.70587 + 82 2.651153 35.72779 + 83 2.660671 34.77576 + 84 2.670166 33.84911 + 85 2.679638 32.94714 + 86 2.689087 32.06922 + 87 2.698512 31.21468 + 88 2.707915 30.38292 + 89 2.717294 29.57331 + 90 2.726650 28.78529 + 91 2.735982 28.01826 + 92 2.745292 27.27167 + 93 2.754580 26.54497 + 94 2.763847 25.83764 + 95 2.773094 25.14915 + 96 2.782321 24.47901 + 97 2.791529 23.82673 + 98 2.800721 23.19183 + 99 2.809899 22.57385 +100 2.819066 21.97233 +101 2.828224 21.38684 +102 2.837375 20.81696 +103 2.846522 20.26226 +104 2.855667 19.72234 +105 2.864814 19.19680 +106 2.873963 18.68527 +107 2.883117 18.18737 +108 2.892280 17.70274 +109 2.901453 17.23103 +110 2.910639 16.77188 +111 2.919839 16.32496 +112 2.929057 15.88996 +113 2.938295 15.46655 +114 2.947555 15.05442 +115 2.956840 14.65327 +116 2.966152 14.26281 +117 2.975494 13.88275 +118 2.984867 13.51282 +119 2.994276 13.15275 +120 3.003722 12.80228 +121 3.013208 12.46114 +122 3.022737 12.12909 +123 3.032313 11.80589 +124 3.041938 11.49131 +125 3.051616 11.18510 +126 3.061350 10.88706 +127 3.071144 10.59696 +128 3.081003 10.31458 +129 3.090930 10.03973 +130 3.100930 9.772210 +131 3.111007 9.511814 +132 3.121162 9.258356 +133 3.131399 9.011653 +134 3.141721 8.771523 +135 3.152131 8.537792 +136 3.162632 8.310289 +137 3.173229 8.088848 +138 3.183924 7.873308 +139 3.194722 7.663511 +140 3.205627 7.459304 +141 3.216639 7.260539 +142 3.227758 7.067071 +143 3.238984 6.878757 +144 3.250316 6.695462 +145 3.261759 6.517051 +146 3.273313 6.343394 +147 3.284984 6.174364 +148 3.296777 6.009838 +149 3.308699 5.849696 +150 3.320757 5.693822 +151 3.332956 5.542101 +152 3.345300 5.394423 +153 3.357793 5.250680 +154 3.370438 5.110767 +155 3.383240 4.974583 +156 3.396200 4.842027 +157 3.409322 4.713004 +158 3.422608 4.587418 +159 3.436058 4.465179 +160 3.449676 4.346197 +161 3.463463 4.230386 +162 3.477420 4.117661 +163 3.491553 4.007939 +164 3.505869 3.901141 +165 3.520373 3.797189 +166 3.535075 3.696007 +167 3.549982 3.597521 +168 3.565103 3.501659 +169 3.580446 3.408352 +170 3.596021 3.317531 +171 3.611837 3.229130 +172 3.627905 3.143085 +173 3.644231 3.059332 +174 3.660815 2.977812 +175 3.677662 2.898463 +176 3.694772 2.821229 +177 3.712147 2.746053 +178 3.729787 2.672880 +179 3.747694 2.601657 +180 3.765879 2.532331 +181 3.784348 2.464853 +182 3.803114 2.399173 +183 3.822184 2.335244 +184 3.841569 2.273017 +185 3.861277 2.212449 +186 3.881306 2.153495 +187 3.901655 2.096112 +188 3.922324 2.040258 +189 3.943312 1.985892 +190 3.964616 1.932974 +191 3.986236 1.881467 +192 4.008166 1.831333 +193 4.030404 1.782534 +194 4.052981 1.735035 +195 4.075959 1.688803 +196 4.099345 1.643802 +197 4.123151 1.600000 +198 4.128739 1.590000 +199 4.134385 1.580000 diff --git a/2024-12-12/X220790.340 b/2024-12-12/X220790.340 new file mode 100644 index 0000000..84607f5 --- /dev/null +++ b/2024-12-12/X220790.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1010-CU-HT 2024-12-12 +Serial Number: X220790 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.78162,303.51 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.784998 330.0000 + 2 1.810056 310.0000 + 3 1.821005 301.7396 + 4 1.832014 293.6992 + 5 1.843090 285.8731 + 6 1.854228 278.2556 + 7 1.865422 270.8410 + 8 1.876668 263.6240 + 9 1.887959 256.5994 + 10 1.899291 249.7619 + 11 1.910657 243.1066 + 12 1.922055 236.6286 + 13 1.933482 230.3233 + 14 1.944936 224.1859 + 15 1.956414 218.2121 + 16 1.967913 212.3975 + 17 1.979432 206.7379 + 18 1.990966 201.2290 + 19 2.002513 195.8669 + 20 2.014071 190.6478 + 21 2.025636 185.5676 + 22 2.037207 180.6229 + 23 2.048779 175.8099 + 24 2.060351 171.1252 + 25 2.071919 166.5653 + 26 2.083481 162.1269 + 27 2.095033 157.8068 + 28 2.106575 153.6017 + 29 2.118104 149.5088 + 30 2.129617 145.5249 + 31 2.141117 141.6471 + 32 2.152603 137.8727 + 33 2.164075 134.1989 + 34 2.175534 130.6229 + 35 2.186973 127.1423 + 36 2.198382 123.7544 + 37 2.209753 120.4567 + 38 2.221083 117.2470 + 39 2.232381 114.1228 + 40 2.243655 111.0818 + 41 2.254914 108.1218 + 42 2.266157 105.2407 + 43 2.277384 102.4364 + 44 2.288594 99.70685 + 45 2.299786 97.05001 + 46 2.310960 94.46396 + 47 2.322116 91.94681 + 48 2.333256 89.49674 + 49 2.344378 87.11196 + 50 2.355482 84.79073 + 51 2.366570 82.53134 + 52 2.377643 80.33216 + 53 2.388700 78.19158 + 54 2.399744 76.10805 + 55 2.410776 74.08003 + 56 2.421796 72.10605 + 57 2.432805 70.18467 + 58 2.443803 68.31448 + 59 2.454791 66.49414 + 60 2.465768 64.72229 + 61 2.476736 62.99767 + 62 2.487695 61.31899 + 63 2.498644 59.68505 + 64 2.509585 58.09465 + 65 2.520517 56.54662 + 66 2.531441 55.03985 + 67 2.542358 53.57322 + 68 2.553267 52.14568 + 69 2.564169 50.75618 + 70 2.575064 49.40370 + 71 2.585953 48.08726 + 72 2.596836 46.80590 + 73 2.607713 45.55868 + 74 2.618585 44.34470 + 75 2.629451 43.16306 + 76 2.640312 42.01291 + 77 2.651169 40.89341 + 78 2.662022 39.80374 + 79 2.672870 38.74311 + 80 2.683713 37.71074 + 81 2.694551 36.70587 + 82 2.705384 35.72779 + 83 2.716211 34.77576 + 84 2.727033 33.84911 + 85 2.737848 32.94714 + 86 2.748658 32.06922 + 87 2.759462 31.21468 + 88 2.770261 30.38292 + 89 2.781054 29.57331 + 90 2.791842 28.78529 + 91 2.802626 28.01826 + 92 2.813405 27.27167 + 93 2.824180 26.54497 + 94 2.834951 25.83764 + 95 2.845718 25.14915 + 96 2.856482 24.47901 + 97 2.867243 23.82673 + 98 2.878002 23.19183 + 99 2.888762 22.57385 +100 2.899526 21.97233 +101 2.910295 21.38684 +102 2.921071 20.81696 +103 2.931857 20.26226 +104 2.942655 19.72234 +105 2.953465 19.19680 +106 2.964291 18.68527 +107 2.975134 18.18737 +108 2.985995 17.70274 +109 2.996878 17.23103 +110 3.007783 16.77188 +111 3.018712 16.32496 +112 3.029668 15.88996 +113 3.040653 15.46655 +114 3.051668 15.05442 +115 3.062715 14.65327 +116 3.073797 14.26281 +117 3.084915 13.88275 +118 3.096073 13.51282 +119 3.107272 13.15275 +120 3.118515 12.80228 +121 3.129804 12.46114 +122 3.141143 12.12909 +123 3.152533 11.80589 +124 3.163978 11.49131 +125 3.175481 11.18510 +126 3.187045 10.88706 +127 3.198674 10.59696 +128 3.210371 10.31458 +129 3.222141 10.03973 +130 3.233988 9.772210 +131 3.245913 9.511814 +132 3.257920 9.258356 +133 3.270010 9.011653 +134 3.282186 8.771523 +135 3.294449 8.537792 +136 3.306802 8.310289 +137 3.319248 8.088848 +138 3.331790 7.873308 +139 3.344430 7.663511 +140 3.357171 7.459304 +141 3.370017 7.260539 +142 3.382971 7.067071 +143 3.396036 6.878757 +144 3.409216 6.695462 +145 3.422513 6.517051 +146 3.435932 6.343394 +147 3.449475 6.174364 +148 3.463146 6.009838 +149 3.476950 5.849696 +150 3.490891 5.693822 +151 3.504976 5.542101 +152 3.519210 5.394423 +153 3.533599 5.250680 +154 3.548146 5.110767 +155 3.562856 4.974583 +156 3.577734 4.842027 +157 3.592782 4.713004 +158 3.608002 4.587418 +159 3.623398 4.465179 +160 3.638970 4.346197 +161 3.654722 4.230386 +162 3.670655 4.117661 +163 3.686774 4.007939 +164 3.703084 3.901141 +165 3.719593 3.797189 +166 3.736307 3.696007 +167 3.753234 3.597521 +168 3.770380 3.501659 +169 3.787753 3.408352 +170 3.805360 3.317531 +171 3.823210 3.229130 +172 3.841309 3.143085 +173 3.859664 3.059332 +174 3.878283 2.977812 +175 3.897172 2.898463 +176 3.916337 2.821229 +177 3.935784 2.746053 +178 3.955522 2.672880 +179 3.975555 2.601657 +180 3.995890 2.532331 +181 4.016534 2.464853 +182 4.037493 2.399173 +183 4.058772 2.335244 +184 4.080377 2.273017 +185 4.102312 2.212449 +186 4.124581 2.153495 +187 4.147193 2.096112 +188 4.170158 2.040258 +189 4.193485 1.985892 +190 4.217186 1.932974 +191 4.241273 1.881467 +192 4.265755 1.831333 +193 4.290646 1.782534 +194 4.315948 1.735035 +195 4.341709 1.688803 +196 4.367927 1.643802 +197 4.394616 1.600000 +198 4.400880 1.590000 +199 4.407211 1.580000 diff --git a/2024-12-12/X220943.340 b/2024-12-12/X220943.340 new file mode 100644 index 0000000..30a899a --- /dev/null +++ b/2024-12-12/X220943.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-12 +Serial Number: X220943 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.78155,303.613 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.824988 330.0000 + 2 1.850320 310.0000 + 3 1.861395 301.7396 + 4 1.872521 293.6992 + 5 1.883708 285.8731 + 6 1.894953 278.2556 + 7 1.906249 270.8410 + 8 1.917591 263.6240 + 9 1.928974 256.5994 + 10 1.940391 249.7619 + 11 1.951838 243.1066 + 12 1.963310 236.6286 + 13 1.974806 230.3233 + 14 1.986323 224.1859 + 15 1.997858 218.2121 + 16 2.009408 212.3975 + 17 2.020971 206.7379 + 18 2.032543 201.2290 + 19 2.044122 195.8669 + 20 2.055706 190.6478 + 21 2.067290 185.5676 + 22 2.078873 180.6229 + 23 2.090451 175.8099 + 24 2.102022 171.1252 + 25 2.113583 166.5653 + 26 2.125130 162.1269 + 27 2.136663 157.8068 + 28 2.148180 153.6017 + 29 2.159686 149.5088 + 30 2.171184 145.5249 + 31 2.182677 141.6471 + 32 2.194151 137.8727 + 33 2.205591 134.1989 + 34 2.216987 130.6229 + 35 2.228336 127.1423 + 36 2.239645 123.7544 + 37 2.250918 120.4567 + 38 2.262161 117.2470 + 39 2.273377 114.1228 + 40 2.284573 111.0818 + 41 2.295752 108.1218 + 42 2.306914 105.2407 + 43 2.318058 102.4364 + 44 2.329182 99.70685 + 45 2.340286 97.05001 + 46 2.351369 94.46396 + 47 2.362432 91.94681 + 48 2.373473 89.49674 + 49 2.384493 87.11196 + 50 2.395492 84.79073 + 51 2.406470 82.53134 + 52 2.417428 80.33216 + 53 2.428367 78.19158 + 54 2.439289 76.10805 + 55 2.450195 74.08003 + 56 2.461085 72.10605 + 57 2.471961 70.18467 + 58 2.482823 68.31448 + 59 2.493671 66.49414 + 60 2.504506 64.72229 + 61 2.515329 62.99767 + 62 2.526139 61.31899 + 63 2.536938 59.68505 + 64 2.547726 58.09465 + 65 2.558504 56.54662 + 66 2.569271 55.03985 + 67 2.580028 53.57322 + 68 2.590777 52.14568 + 69 2.601516 50.75618 + 70 2.612247 49.40370 + 71 2.622971 48.08726 + 72 2.633687 46.80590 + 73 2.644396 45.55868 + 74 2.655099 44.34470 + 75 2.665796 43.16306 + 76 2.676487 42.01291 + 77 2.687173 40.89341 + 78 2.697852 39.80374 + 79 2.708520 38.74311 + 80 2.719172 37.71074 + 81 2.729803 36.70587 + 82 2.740416 35.72779 + 83 2.751019 34.77576 + 84 2.761620 33.84911 + 85 2.772223 32.94714 + 86 2.782826 32.06922 + 87 2.793427 31.21468 + 88 2.804026 30.38292 + 89 2.814621 29.57331 + 90 2.825210 28.78529 + 91 2.835794 28.01826 + 92 2.846371 27.27167 + 93 2.856943 26.54497 + 94 2.867510 25.83764 + 95 2.878073 25.14915 + 96 2.888631 24.47901 + 97 2.899187 23.82673 + 98 2.909741 23.19183 + 99 2.920297 22.57385 +100 2.930857 21.97233 +101 2.941423 21.38684 +102 2.951998 20.81696 +103 2.962583 20.26226 +104 2.973179 19.72234 +105 2.983789 19.19680 +106 2.994414 18.68527 +107 3.005056 18.18737 +108 3.015716 17.70274 +109 3.026396 17.23103 +110 3.037098 16.77188 +111 3.047823 16.32496 +112 3.058573 15.88996 +113 3.069350 15.46655 +114 3.080155 15.05442 +115 3.090992 14.65327 +116 3.101864 14.26281 +117 3.112775 13.88275 +118 3.123731 13.51282 +119 3.134734 13.15275 +120 3.145790 12.80228 +121 3.156902 12.46114 +122 3.168070 12.12909 +123 3.179292 11.80589 +124 3.190568 11.49131 +125 3.201895 11.18510 +126 3.213273 10.88706 +127 3.224700 10.59696 +128 3.236183 10.31458 +129 3.247735 10.03973 +130 3.259369 9.772210 +131 3.271095 9.511814 +132 3.282912 9.258356 +133 3.294816 9.011653 +134 3.306808 8.771523 +135 3.318887 8.537792 +136 3.331058 8.310289 +137 3.343323 8.088848 +138 3.355683 7.873308 +139 3.368143 7.663511 +140 3.380704 7.459304 +141 3.393371 7.260539 +142 3.406147 7.067071 +143 3.419034 6.878757 +144 3.432037 6.695462 +145 3.445160 6.517051 +146 3.458405 6.343394 +147 3.471776 6.174364 +148 3.485277 6.009838 +149 3.498913 5.849696 +150 3.512689 5.693822 +151 3.526610 5.542101 +152 3.540681 5.394423 +153 3.554907 5.250680 +154 3.569292 5.110767 +155 3.583839 4.974583 +156 3.598553 4.842027 +157 3.613438 4.713004 +158 3.628498 4.587418 +159 3.643737 4.465179 +160 3.659160 4.346197 +161 3.674771 4.230386 +162 3.690575 4.117661 +163 3.706572 4.007939 +164 3.722758 3.901141 +165 3.739129 3.797189 +166 3.755685 3.696007 +167 3.772443 3.597521 +168 3.789422 3.501659 +169 3.806639 3.408352 +170 3.824103 3.317531 +171 3.841817 3.229130 +172 3.859786 3.143085 +173 3.878015 3.059332 +174 3.896511 2.977812 +175 3.915280 2.898463 +176 3.934330 2.821229 +177 3.953665 2.746053 +178 3.973292 2.672880 +179 3.993219 2.601657 +180 4.013450 2.532331 +181 4.033992 2.464853 +182 4.054851 2.399173 +183 4.076032 2.335244 +184 4.097540 2.273017 +185 4.119378 2.212449 +186 4.141553 2.153495 +187 4.164072 2.096112 +188 4.186947 2.040258 +189 4.210188 1.985892 +190 4.233808 1.932974 +191 4.257819 1.881467 +192 4.282233 1.831333 +193 4.307063 1.782534 +194 4.332309 1.735035 +195 4.358013 1.688803 +196 4.384173 1.643802 +197 4.410803 1.600000 +198 4.417054 1.590000 +199 4.423370 1.580000 diff --git a/2024-12-12/X221295.340 b/2024-12-12/X221295.340 new file mode 100644 index 0000000..9713f7f --- /dev/null +++ b/2024-12-12/X221295.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-12 +Serial Number: X221295 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.78129,303.796 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.835146 330.0000 + 2 1.860819 310.0000 + 3 1.872039 301.7396 + 4 1.883315 293.6992 + 5 1.894653 285.8731 + 6 1.906047 278.2556 + 7 1.917494 270.8410 + 8 1.928986 263.6240 + 9 1.940520 256.5994 + 10 1.952088 249.7619 + 11 1.963685 243.1066 + 12 1.975308 236.6286 + 13 1.986955 230.3233 + 14 1.998623 224.1859 + 15 2.010309 218.2121 + 16 2.022011 212.3975 + 17 2.033725 206.7379 + 18 2.045449 201.2290 + 19 2.057180 195.8669 + 20 2.068915 190.6478 + 21 2.080652 185.5676 + 22 2.092388 180.6229 + 23 2.104119 175.8099 + 24 2.115843 171.1252 + 25 2.127558 166.5653 + 26 2.139259 162.1269 + 27 2.150946 157.8068 + 28 2.162617 153.6017 + 29 2.174273 149.5088 + 30 2.185918 145.5249 + 31 2.197550 141.6471 + 32 2.209162 137.8727 + 33 2.220742 134.1989 + 34 2.232282 130.6229 + 35 2.243781 127.1423 + 36 2.255244 123.7544 + 37 2.266673 120.4567 + 38 2.278072 117.2470 + 39 2.289444 114.1228 + 40 2.300793 111.0818 + 41 2.312121 108.1218 + 42 2.323428 105.2407 + 43 2.334714 102.4364 + 44 2.345978 99.70685 + 45 2.357220 97.05001 + 46 2.368441 94.46396 + 47 2.379642 91.94681 + 48 2.390822 89.49674 + 49 2.401984 87.11196 + 50 2.413126 84.79073 + 51 2.424251 82.53134 + 52 2.435358 80.33216 + 53 2.446449 78.19158 + 54 2.457525 76.10805 + 55 2.468586 74.08003 + 56 2.479633 72.10605 + 57 2.490667 70.18467 + 58 2.501687 68.31448 + 59 2.512693 66.49414 + 60 2.523685 64.72229 + 61 2.534665 62.99767 + 62 2.545631 61.31899 + 63 2.556583 59.68505 + 64 2.567523 58.09465 + 65 2.578451 56.54662 + 66 2.589368 55.03985 + 67 2.600278 53.57322 + 68 2.611182 52.14568 + 69 2.622081 50.75618 + 70 2.632978 49.40370 + 71 2.643874 48.08726 + 72 2.654768 46.80590 + 73 2.665657 45.55868 + 74 2.676539 44.34470 + 75 2.687412 43.16306 + 76 2.698273 42.01291 + 77 2.709120 40.89341 + 78 2.719951 39.80374 + 79 2.730766 38.74311 + 80 2.741563 37.71074 + 81 2.752343 36.70587 + 82 2.763110 35.72779 + 83 2.773872 34.77576 + 84 2.784634 33.84911 + 85 2.795400 32.94714 + 86 2.806169 32.06922 + 87 2.816939 31.21468 + 88 2.827709 30.38292 + 89 2.838477 29.57331 + 90 2.849242 28.78529 + 91 2.860002 28.01826 + 92 2.870759 27.27167 + 93 2.881511 26.54497 + 94 2.892260 25.83764 + 95 2.903006 25.14915 + 96 2.913748 24.47901 + 97 2.924488 23.82673 + 98 2.935226 23.19183 + 99 2.945966 22.57385 +100 2.956710 21.97233 +101 2.967460 21.38684 +102 2.978218 20.81696 +103 2.988986 20.26226 +104 2.999766 19.72234 +105 3.010560 19.19680 +106 3.021370 18.68527 +107 3.032198 18.18737 +108 3.043046 17.70274 +109 3.053915 17.23103 +110 3.064808 16.77188 +111 3.075727 16.32496 +112 3.086674 15.88996 +113 3.097650 15.46655 +114 3.108658 15.05442 +115 3.119701 14.65327 +116 3.130786 14.26281 +117 3.141917 13.88275 +118 3.153099 13.51282 +119 3.164332 13.15275 +120 3.175618 12.80228 +121 3.186957 12.46114 +122 3.198344 12.12909 +123 3.209775 11.80589 +124 3.221247 11.49131 +125 3.232763 11.18510 +126 3.244333 10.88706 +127 3.255970 10.59696 +128 3.267680 10.31458 +129 3.279469 10.03973 +130 3.291340 9.772210 +131 3.303296 9.511814 +132 3.315339 9.258356 +133 3.327471 9.011653 +134 3.339694 8.771523 +135 3.352011 8.537792 +136 3.364424 8.310289 +137 3.376936 8.088848 +138 3.389550 7.873308 +139 3.402268 7.663511 +140 3.415094 7.459304 +141 3.428032 7.260539 +142 3.441083 7.067071 +143 3.454250 6.878757 +144 3.467537 6.695462 +145 3.480947 6.517051 +146 3.494482 6.343394 +147 3.508145 6.174364 +148 3.521939 6.009838 +149 3.535869 5.849696 +150 3.549939 5.693822 +151 3.564157 5.542101 +152 3.578530 5.394423 +153 3.593066 5.250680 +154 3.607770 5.110767 +155 3.622651 4.974583 +156 3.637713 4.842027 +157 3.652957 4.713004 +158 3.668384 4.587418 +159 3.683994 4.465179 +160 3.699785 4.346197 +161 3.715757 4.230386 +162 3.731910 4.117661 +163 3.748246 4.007939 +164 3.764774 3.901141 +165 3.781503 3.797189 +166 3.798441 3.696007 +167 3.815598 3.597521 +168 3.832982 3.501659 +169 3.850606 3.408352 +170 3.868479 3.317531 +171 3.886613 3.229130 +172 3.905020 3.143085 +173 3.923707 3.059332 +174 3.942678 2.977812 +175 3.961934 2.898463 +176 3.981479 2.821229 +177 4.001315 2.746053 +178 4.021443 2.672880 +179 4.041868 2.601657 +180 4.062598 2.532331 +181 4.083644 2.464853 +182 4.105018 2.399173 +183 4.126730 2.335244 +184 4.148792 2.273017 +185 4.171213 2.212449 +186 4.193993 2.153495 +187 4.217136 2.096112 +188 4.240643 2.040258 +189 4.264519 1.985892 +190 4.288766 1.932974 +191 4.313387 1.881467 +192 4.338382 1.831333 +193 4.363753 1.782534 +194 4.389533 1.735035 +195 4.415766 1.688803 +196 4.442464 1.643802 +197 4.469641 1.600000 +198 4.476020 1.590000 +199 4.482466 1.580000 diff --git a/2024-12-12/X222481.340 b/2024-12-12/X222481.340 new file mode 100644 index 0000000..f9fb975 --- /dev/null +++ b/2024-12-12/X222481.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-12 +Serial Number: X222481 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.78123,303.881 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.795348 330.0000 + 2 1.819752 310.0000 + 3 1.830416 301.7396 + 4 1.841131 293.6992 + 5 1.851900 285.8731 + 6 1.862719 278.2556 + 7 1.873582 270.8410 + 8 1.884483 263.6240 + 9 1.895417 256.5994 + 10 1.906378 249.7619 + 11 1.917360 243.1066 + 12 1.928359 236.6286 + 13 1.939373 230.3233 + 14 1.950399 224.1859 + 15 1.961434 218.2121 + 16 1.972475 212.3975 + 17 1.983520 206.7379 + 18 1.994564 201.2290 + 19 2.005605 195.8669 + 20 2.016640 190.6478 + 21 2.027667 185.5676 + 22 2.038681 180.6229 + 23 2.049680 175.8099 + 24 2.060661 171.1252 + 25 2.071621 166.5653 + 26 2.082557 162.1269 + 27 2.093467 157.8068 + 28 2.104348 153.6017 + 29 2.115196 149.5088 + 30 2.126012 145.5249 + 31 2.136794 141.6471 + 32 2.147542 137.8727 + 33 2.158256 134.1989 + 34 2.168937 130.6229 + 35 2.179585 127.1423 + 36 2.190199 123.7544 + 37 2.200779 120.4567 + 38 2.211326 117.2470 + 39 2.221839 114.1228 + 40 2.232319 111.0818 + 41 2.242766 108.1218 + 42 2.253179 105.2407 + 43 2.263559 102.4364 + 44 2.273906 99.70685 + 45 2.284219 97.05001 + 46 2.294501 94.46396 + 47 2.304752 91.94681 + 48 2.314973 89.49674 + 49 2.325166 87.11196 + 50 2.335330 84.79073 + 51 2.345468 82.53134 + 52 2.355580 80.33216 + 53 2.365667 78.19158 + 54 2.375731 76.10805 + 55 2.385773 74.08003 + 56 2.395793 72.10605 + 57 2.405791 70.18467 + 58 2.415769 68.31448 + 59 2.425726 66.49414 + 60 2.435662 64.72229 + 61 2.445579 62.99767 + 62 2.455476 61.31899 + 63 2.465354 59.68505 + 64 2.475213 58.09465 + 65 2.485054 56.54662 + 66 2.494876 55.03985 + 67 2.504680 53.57322 + 68 2.514466 52.14568 + 69 2.524236 50.75618 + 70 2.533988 49.40370 + 71 2.543723 48.08726 + 72 2.553442 46.80590 + 73 2.563145 45.55868 + 74 2.572832 44.34470 + 75 2.582504 43.16306 + 76 2.592161 42.01291 + 77 2.601802 40.89341 + 78 2.611429 39.80374 + 79 2.621042 38.74311 + 80 2.630640 37.71074 + 81 2.640224 36.70587 + 82 2.649795 35.72779 + 83 2.659353 34.77576 + 84 2.668897 33.84911 + 85 2.678429 32.94714 + 86 2.687952 32.06922 + 87 2.697469 31.21468 + 88 2.706981 30.38292 + 89 2.716485 29.57331 + 90 2.725978 28.78529 + 91 2.735454 28.01826 + 92 2.744915 27.27167 + 93 2.754361 26.54497 + 94 2.763793 25.83764 + 95 2.773212 25.14915 + 96 2.782619 24.47901 + 97 2.792016 23.82673 + 98 2.801404 23.19183 + 99 2.810786 22.57385 +100 2.820165 21.97233 +101 2.829544 21.38684 +102 2.838925 20.81696 +103 2.848309 20.26226 +104 2.857698 19.72234 +105 2.867095 19.19680 +106 2.876500 18.68527 +107 2.885915 18.18737 +108 2.895342 17.70274 +109 2.904784 17.23103 +110 2.914241 16.77188 +111 2.923715 16.32496 +112 2.933209 15.88996 +113 2.942723 15.46655 +114 2.952259 15.05442 +115 2.961820 14.65327 +116 2.971407 14.26281 +117 2.981023 13.88275 +118 2.990669 13.51282 +119 3.000347 13.15275 +120 3.010060 12.80228 +121 3.019810 12.46114 +122 3.029599 12.12909 +123 3.039430 11.80589 +124 3.049306 11.49131 +125 3.059228 11.18510 +126 3.069200 10.88706 +127 3.079225 10.59696 +128 3.089308 10.31458 +129 3.099453 10.03973 +130 3.109667 9.772210 +131 3.119952 9.511814 +132 3.130315 9.258356 +133 3.140758 9.011653 +134 3.151284 8.771523 +135 3.161895 8.537792 +136 3.172589 8.310289 +137 3.183366 8.088848 +138 3.194225 7.873308 +139 3.205165 7.663511 +140 3.216186 7.459304 +141 3.227290 7.260539 +142 3.238481 7.067071 +143 3.249764 6.878757 +144 3.261141 6.695462 +145 3.272617 6.517051 +146 3.284196 6.343394 +147 3.295883 6.174364 +148 3.307682 6.009838 +149 3.319599 5.849696 +150 3.331638 5.693822 +151 3.343804 5.542101 +152 3.356099 5.394423 +153 3.368528 5.250680 +154 3.381092 5.110767 +155 3.393794 4.974583 +156 3.406636 4.842027 +157 3.419620 4.713004 +158 3.432749 4.587418 +159 3.446024 4.465179 +160 3.459450 4.346197 +161 3.473026 4.230386 +162 3.486757 4.117661 +163 3.500646 4.007939 +164 3.514699 3.901141 +165 3.528922 3.797189 +166 3.543322 3.696007 +167 3.557905 3.597521 +168 3.572680 3.501659 +169 3.587653 3.408352 +170 3.602832 3.317531 +171 3.618225 3.229130 +172 3.633842 3.143085 +173 3.649687 3.059332 +174 3.665763 2.977812 +175 3.682076 2.898463 +176 3.698626 2.821229 +177 3.715416 2.746053 +178 3.732450 2.672880 +179 3.749730 2.601657 +180 3.767262 2.532331 +181 3.785051 2.464853 +182 3.803105 2.399173 +183 3.821429 2.335244 +184 3.840028 2.273017 +185 3.858908 2.212449 +186 3.878074 2.153495 +187 3.897537 2.096112 +188 3.917308 2.040258 +189 3.937400 1.985892 +190 3.957826 1.932974 +191 3.978598 1.881467 +192 3.999693 1.831333 +193 4.021024 1.782534 +194 4.042609 1.735035 +195 4.064583 1.688803 +196 4.086948 1.643802 +197 4.109715 1.600000 +198 4.115058 1.590000 +199 4.120458 1.580000 diff --git a/2024-12-17/X196720.340 b/2024-12-17/X196720.340 new file mode 100644 index 0000000..f67d70a --- /dev/null +++ b/2024-12-17/X196720.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD-HT 2024-12-17 +Serial Number: X196720 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.75648,304.878 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.928449 330.0000 + 2 1.953700 310.0000 + 3 1.964731 301.7396 + 4 1.975804 293.6992 + 5 1.986918 285.8731 + 6 1.998068 278.2556 + 7 2.009249 270.8410 + 8 2.020455 263.6240 + 9 2.031680 256.5994 + 10 2.042919 249.7619 + 11 2.054165 243.1066 + 12 2.065416 236.6286 + 13 2.076669 230.3233 + 14 2.087922 224.1859 + 15 2.099173 218.2121 + 16 2.110424 212.3975 + 17 2.121673 206.7379 + 18 2.132919 201.2290 + 19 2.144163 195.8669 + 20 2.155404 190.6478 + 21 2.166640 185.5676 + 22 2.177865 180.6229 + 23 2.189076 175.8099 + 24 2.200268 171.1252 + 25 2.211434 166.5653 + 26 2.222572 162.1269 + 27 2.233676 157.8068 + 28 2.244744 153.6017 + 29 2.255773 149.5088 + 30 2.266764 145.5249 + 31 2.277717 141.6471 + 32 2.288632 137.8727 + 33 2.299512 134.1989 + 34 2.310356 130.6229 + 35 2.321166 127.1423 + 36 2.331943 123.7544 + 37 2.342687 120.4567 + 38 2.353400 117.2470 + 39 2.364082 114.1228 + 40 2.374734 111.0818 + 41 2.385358 108.1218 + 42 2.395952 105.2407 + 43 2.406518 102.4364 + 44 2.417057 99.70685 + 45 2.427567 97.05001 + 46 2.438051 94.46396 + 47 2.448509 91.94681 + 48 2.458944 89.49674 + 49 2.469356 87.11196 + 50 2.479746 84.79073 + 51 2.490115 82.53134 + 52 2.500466 80.33216 + 53 2.510798 78.19158 + 54 2.521113 76.10805 + 55 2.531413 74.08003 + 56 2.541698 72.10605 + 57 2.551969 70.18467 + 58 2.562226 68.31448 + 59 2.572469 66.49414 + 60 2.582700 64.72229 + 61 2.592917 62.99767 + 62 2.603123 61.31899 + 63 2.613317 59.68505 + 64 2.623499 58.09465 + 65 2.633671 56.54662 + 66 2.643835 55.03985 + 67 2.653993 53.57322 + 68 2.664145 52.14568 + 69 2.674295 50.75618 + 70 2.684444 49.40370 + 71 2.694594 48.08726 + 72 2.704744 46.80590 + 73 2.714890 45.55868 + 74 2.725029 44.34470 + 75 2.735159 43.16306 + 76 2.745276 42.01291 + 77 2.755378 40.89341 + 78 2.765462 39.80374 + 79 2.775530 38.74311 + 80 2.785587 37.71074 + 81 2.795636 36.70587 + 82 2.805680 35.72779 + 83 2.815724 34.77576 + 84 2.825771 33.84911 + 85 2.835823 32.94714 + 86 2.845880 32.06922 + 87 2.855942 31.21468 + 88 2.866008 30.38292 + 89 2.876076 29.57331 + 90 2.886147 28.78529 + 91 2.896219 28.01826 + 92 2.906293 27.27167 + 93 2.916368 26.54497 + 94 2.926446 25.83764 + 95 2.936527 25.14915 + 96 2.946610 24.47901 + 97 2.956698 23.82673 + 98 2.966790 23.19183 + 99 2.976891 22.57385 +100 2.987002 21.97233 +101 2.997125 21.38684 +102 3.007264 20.81696 +103 3.017420 20.26226 +104 3.027596 19.72234 +105 3.037793 19.19680 +106 3.048015 18.68527 +107 3.058264 18.18737 +108 3.068541 17.70274 +109 3.078850 17.23103 +110 3.089193 16.77188 +111 3.099572 16.32496 +112 3.109990 15.88996 +113 3.120449 15.46655 +114 3.130952 15.05442 +115 3.141501 14.65327 +116 3.152101 14.26281 +117 3.162758 13.88275 +118 3.173476 13.51282 +119 3.184258 13.15275 +120 3.195097 12.80228 +121 3.205987 12.46114 +122 3.216925 12.12909 +123 3.227914 11.80589 +124 3.238961 11.49131 +125 3.250072 11.18510 +126 3.261253 10.88706 +127 3.272511 10.59696 +128 3.283853 10.31458 +129 3.295285 10.03973 +130 3.306812 9.772210 +131 3.318436 9.511814 +132 3.330159 9.258356 +133 3.341983 9.011653 +134 3.353910 8.771523 +135 3.365945 8.537792 +136 3.378088 8.310289 +137 3.390342 8.088848 +138 3.402711 7.873308 +139 3.415198 7.663511 +140 3.427805 7.459304 +141 3.440537 7.260539 +142 3.453397 7.067071 +143 3.466388 6.878757 +144 3.479514 6.695462 +145 3.492779 6.517051 +146 3.506187 6.343394 +147 3.519741 6.174364 +148 3.533446 6.009838 +149 3.547307 5.849696 +150 3.561329 5.693822 +151 3.575516 5.542101 +152 3.589874 5.394423 +153 3.604410 5.250680 +154 3.619129 5.110767 +155 3.634039 4.974583 +156 3.649147 4.842027 +157 3.664459 4.713004 +158 3.679983 4.587418 +159 3.695717 4.465179 +160 3.711658 4.346197 +161 3.727799 4.230386 +162 3.744134 4.117661 +163 3.760658 4.007939 +164 3.777364 3.901141 +165 3.794266 3.797189 +166 3.811402 3.696007 +167 3.828814 3.597521 +168 3.846529 3.501659 +169 3.864541 3.408352 +170 3.882838 3.317531 +171 3.901421 3.229130 +172 3.920304 3.143085 +173 3.939501 3.059332 +174 3.959021 2.977812 +175 3.978864 2.898463 +176 3.999031 2.821229 +177 4.019519 2.746053 +178 4.040327 2.672880 +179 4.061451 2.601657 +180 4.082911 2.532331 +181 4.104752 2.464853 +182 4.127026 2.399173 +183 4.149744 2.335244 +184 4.172865 2.273017 +185 4.196336 2.212449 +186 4.220137 2.153495 +187 4.244296 2.096112 +188 4.268850 2.040258 +189 4.293837 1.985892 +190 4.319298 1.932974 +191 4.345280 1.881467 +192 4.371829 1.831333 +193 4.399002 1.782534 +194 4.426876 1.735035 +195 4.455258 1.688803 +196 4.484145 1.643802 +197 4.513551 1.600000 +198 4.520452 1.590000 +199 4.527427 1.580000 diff --git a/2024-12-17/X196721.340 b/2024-12-17/X196721.340 new file mode 100644 index 0000000..2ece2df --- /dev/null +++ b/2024-12-17/X196721.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-17 +Serial Number: X196721 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.75699,304.966 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.900306 330.0000 + 2 1.924947 310.0000 + 3 1.935707 301.7396 + 4 1.946511 293.6992 + 5 1.957354 285.8731 + 6 1.968232 278.2556 + 7 1.979141 270.8410 + 8 1.990074 263.6240 + 9 2.001026 256.5994 + 10 2.011993 249.7619 + 11 2.022969 243.1066 + 12 2.033952 236.6286 + 13 2.044940 230.3233 + 14 2.055930 224.1859 + 15 2.066920 218.2121 + 16 2.077910 212.3975 + 17 2.088896 206.7379 + 18 2.099876 201.2290 + 19 2.110849 195.8669 + 20 2.121814 190.6478 + 21 2.132766 185.5676 + 22 2.143706 180.6229 + 23 2.154631 175.8099 + 24 2.165538 171.1252 + 25 2.176427 166.5653 + 26 2.187295 162.1269 + 27 2.198140 157.8068 + 28 2.208960 153.6017 + 29 2.219748 149.5088 + 30 2.230500 145.5249 + 31 2.241215 141.6471 + 32 2.251889 137.8727 + 33 2.262521 134.1989 + 34 2.273107 130.6229 + 35 2.283651 127.1423 + 36 2.294155 123.7544 + 37 2.304622 120.4567 + 38 2.315054 117.2470 + 39 2.325456 114.1228 + 40 2.335830 111.0818 + 41 2.346177 108.1218 + 42 2.356499 105.2407 + 43 2.366794 102.4364 + 44 2.377064 99.70685 + 45 2.387307 97.05001 + 46 2.397524 94.46396 + 47 2.407717 91.94681 + 48 2.417885 89.49674 + 49 2.428030 87.11196 + 50 2.438153 84.79073 + 51 2.448253 82.53134 + 52 2.458333 80.33216 + 53 2.468393 78.19158 + 54 2.478435 76.10805 + 55 2.488459 74.08003 + 56 2.498467 72.10605 + 57 2.508458 70.18467 + 58 2.518434 68.31448 + 59 2.528394 66.49414 + 60 2.538340 64.72229 + 61 2.548271 62.99767 + 62 2.558188 61.31899 + 63 2.568091 59.68505 + 64 2.577981 58.09465 + 65 2.587859 56.54662 + 66 2.597725 55.03985 + 67 2.607582 53.57322 + 68 2.617430 52.14568 + 69 2.627273 50.75618 + 70 2.637109 49.40370 + 71 2.646942 48.08726 + 72 2.656772 46.80590 + 73 2.666597 45.55868 + 74 2.676419 44.34470 + 75 2.686235 43.16306 + 76 2.696048 42.01291 + 77 2.705854 40.89341 + 78 2.715655 39.80374 + 79 2.725442 38.74311 + 80 2.735207 37.71074 + 81 2.744942 36.70587 + 82 2.754649 35.72779 + 83 2.764342 34.77576 + 84 2.774035 33.84911 + 85 2.783738 32.94714 + 86 2.793451 32.06922 + 87 2.803170 31.21468 + 88 2.812893 30.38292 + 89 2.822617 29.57331 + 90 2.832341 28.78529 + 91 2.842062 28.01826 + 92 2.851778 27.27167 + 93 2.861491 26.54497 + 94 2.871202 25.83764 + 95 2.880910 25.14915 + 96 2.890618 24.47901 + 97 2.900326 23.82673 + 98 2.910036 23.19183 + 99 2.919751 22.57385 +100 2.929473 21.97233 +101 2.939206 21.38684 +102 2.948952 20.81696 +103 2.958713 20.26226 +104 2.968490 19.72234 +105 2.978285 19.19680 +106 2.988100 18.68527 +107 2.997938 18.18737 +108 3.007800 17.70274 +109 3.017688 17.23103 +110 3.027603 16.77188 +111 3.037548 16.32496 +112 3.047524 15.88996 +113 3.057534 15.46655 +114 3.067579 15.05442 +115 3.077662 14.65327 +116 3.087786 14.26281 +117 3.097952 13.88275 +118 3.108165 13.51282 +119 3.118428 13.15275 +120 3.128743 12.80228 +121 3.139115 12.46114 +122 3.149546 12.12909 +123 3.160039 11.80589 +124 3.170595 11.49131 +125 3.181216 11.18510 +126 3.191904 10.88706 +127 3.202662 10.59696 +128 3.213491 10.31458 +129 3.224396 10.03973 +130 3.235380 9.772210 +131 3.246446 9.511814 +132 3.257597 9.258356 +133 3.268836 9.011653 +134 3.280164 8.771523 +135 3.291586 8.537792 +136 3.303105 8.310289 +137 3.314723 8.088848 +138 3.326443 7.873308 +139 3.338271 7.663511 +140 3.350208 7.459304 +141 3.362261 7.260539 +142 3.374431 7.067071 +143 3.386724 6.878757 +144 3.399140 6.695462 +145 3.411685 6.517051 +146 3.424361 6.343394 +147 3.437170 6.174364 +148 3.450117 6.009838 +149 3.463206 5.849696 +150 3.476440 5.693822 +151 3.489825 5.542101 +152 3.503363 5.394423 +153 3.517062 5.250680 +154 3.530926 5.110767 +155 3.544963 4.974583 +156 3.559179 4.842027 +157 3.573580 4.713004 +158 3.588171 4.587418 +159 3.602943 4.465179 +160 3.617873 4.346197 +161 3.632942 4.230386 +162 3.648160 4.117661 +163 3.663570 4.007939 +164 3.679215 3.901141 +165 3.695121 3.797189 +166 3.711286 3.696007 +167 3.727704 3.597521 +168 3.744371 3.501659 +169 3.761279 3.408352 +170 3.778421 3.317531 +171 3.795801 3.229130 +172 3.813439 3.143085 +173 3.831353 3.059332 +174 3.849555 2.977812 +175 3.868049 2.898463 +176 3.886835 2.821229 +177 3.905916 2.746053 +178 3.925293 2.672880 +179 3.944966 2.601657 +180 3.964948 2.532331 +181 3.985269 2.464853 +182 4.005962 2.399173 +183 4.027043 2.335244 +184 4.048498 2.273017 +185 4.070315 2.212449 +186 4.092488 2.153495 +187 4.115032 2.096112 +188 4.137967 2.040258 +189 4.161311 1.985892 +190 4.185087 1.932974 +191 4.209316 1.881467 +192 4.234023 1.831333 +193 4.258988 1.782534 +194 4.280512 1.735035 +195 4.301285 1.688803 +196 4.322427 1.643802 +197 4.343949 1.600000 +198 4.349000 1.590000 +199 4.354104 1.580000 diff --git a/2024-12-17/X196722.340 b/2024-12-17/X196722.340 new file mode 100644 index 0000000..e9d92cd --- /dev/null +++ b/2024-12-17/X196722.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-17 +Serial Number: X196722 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.75844,304.78 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.912205 330.0000 + 2 1.937201 310.0000 + 3 1.948105 301.7396 + 4 1.959063 293.6992 + 5 1.970057 285.8731 + 6 1.981085 278.2556 + 7 1.992140 270.8410 + 8 2.003219 263.6240 + 9 2.014316 256.5994 + 10 2.025427 249.7619 + 11 2.036546 243.1066 + 12 2.047672 236.6286 + 13 2.058803 230.3233 + 14 2.069937 224.1859 + 15 2.081072 218.2121 + 16 2.092204 212.3975 + 17 2.103332 206.7379 + 18 2.114453 201.2290 + 19 2.125563 195.8669 + 20 2.136661 190.6478 + 21 2.147747 185.5676 + 22 2.158824 180.6229 + 23 2.169894 175.8099 + 24 2.180961 171.1252 + 25 2.192014 166.5653 + 26 2.203043 162.1269 + 27 2.214039 157.8068 + 28 2.224995 153.6017 + 29 2.235910 149.5088 + 30 2.246784 145.5249 + 31 2.257617 141.6471 + 32 2.268410 137.8727 + 33 2.279164 134.1989 + 34 2.289879 130.6229 + 35 2.300559 127.1423 + 36 2.311203 123.7544 + 37 2.321815 120.4567 + 38 2.332396 117.2470 + 39 2.342948 114.1228 + 40 2.353472 111.0818 + 41 2.363970 108.1218 + 42 2.374443 105.2407 + 43 2.384889 102.4364 + 44 2.395308 99.70685 + 45 2.405701 97.05001 + 46 2.416069 94.46396 + 47 2.426411 91.94681 + 48 2.436730 89.49674 + 49 2.447025 87.11196 + 50 2.457297 84.79073 + 51 2.467548 82.53134 + 52 2.477778 80.33216 + 53 2.487988 78.19158 + 54 2.498181 76.10805 + 55 2.508357 74.08003 + 56 2.518517 72.10605 + 57 2.528662 70.18467 + 58 2.538793 68.31448 + 59 2.548909 66.49414 + 60 2.559012 64.72229 + 61 2.569102 62.99767 + 62 2.579180 61.31899 + 63 2.589246 59.68505 + 64 2.599301 58.09465 + 65 2.609345 56.54662 + 66 2.619379 55.03985 + 67 2.629406 53.57322 + 68 2.639426 52.14568 + 69 2.649440 50.75618 + 70 2.659450 49.40370 + 71 2.669456 48.08726 + 72 2.679460 46.80590 + 73 2.689460 45.55868 + 74 2.699458 44.34470 + 75 2.709452 43.16306 + 76 2.719444 42.01291 + 77 2.729432 40.89341 + 78 2.739416 39.80374 + 79 2.749390 38.74311 + 80 2.759345 37.71074 + 81 2.769275 36.70587 + 82 2.779182 35.72779 + 83 2.789078 34.77576 + 84 2.798974 33.84911 + 85 2.808882 32.94714 + 86 2.818800 32.06922 + 87 2.828727 31.21468 + 88 2.838660 30.38292 + 89 2.848597 29.57331 + 90 2.858536 28.78529 + 91 2.868476 28.01826 + 92 2.878416 27.27167 + 93 2.888356 26.54497 + 94 2.898296 25.83764 + 95 2.908239 25.14915 + 96 2.918184 24.47901 + 97 2.928133 23.82673 + 98 2.938087 23.19183 + 99 2.948049 22.57385 +100 2.958022 21.97233 +101 2.968008 21.38684 +102 2.978011 20.81696 +103 2.988031 20.26226 +104 2.998071 19.72234 +105 3.008132 19.19680 +106 3.018218 18.68527 +107 3.028328 18.18737 +108 3.038467 17.70274 +109 3.048635 17.23103 +110 3.058835 16.77188 +111 3.069068 16.32496 +112 3.079337 15.88996 +113 3.089644 15.46655 +114 3.099990 15.05442 +115 3.110378 14.65327 +116 3.120810 14.26281 +117 3.131287 13.88275 +118 3.141810 13.51282 +119 3.152386 13.15275 +120 3.163030 12.80228 +121 3.173755 12.46114 +122 3.184571 12.12909 +123 3.195462 11.80589 +124 3.206408 11.49131 +125 3.217391 11.18510 +126 3.228413 10.88706 +127 3.239494 10.59696 +128 3.250652 10.31458 +129 3.261902 10.03973 +130 3.273249 9.772210 +131 3.284694 9.511814 +132 3.296239 9.258356 +133 3.307885 9.011653 +134 3.319636 8.771523 +135 3.331492 8.537792 +136 3.343456 8.310289 +137 3.355530 8.088848 +138 3.367716 7.873308 +139 3.380017 7.663511 +140 3.392435 7.459304 +141 3.404974 7.260539 +142 3.417635 7.067071 +143 3.430423 6.878757 +144 3.443342 6.695462 +145 3.456396 6.517051 +146 3.469590 6.343394 +147 3.482928 6.174364 +148 3.496414 6.009838 +149 3.510054 5.849696 +150 3.523853 5.693822 +151 3.537817 5.542101 +152 3.551951 5.394423 +153 3.566259 5.250680 +154 3.580747 5.110767 +155 3.595416 4.974583 +156 3.610273 4.842027 +157 3.625320 4.713004 +158 3.640563 4.587418 +159 3.656008 4.465179 +160 3.671667 4.346197 +161 3.687546 4.230386 +162 3.703630 4.117661 +163 3.719883 4.007939 +164 3.736264 3.901141 +165 3.752791 3.797189 +166 3.769556 3.696007 +167 3.786665 3.597521 +168 3.804168 3.501659 +169 3.821999 3.408352 +170 3.840077 3.317531 +171 3.858372 3.229130 +172 3.876918 3.143085 +173 3.895755 3.059332 +174 3.914908 2.977812 +175 3.934381 2.898463 +176 3.954175 2.821229 +177 3.974293 2.746053 +178 3.994736 2.672880 +179 4.015503 2.601657 +180 4.036607 2.532331 +181 4.058070 2.464853 +182 4.079920 2.399173 +183 4.102172 2.335244 +184 4.124825 2.273017 +185 4.147878 2.212449 +186 4.171330 2.153495 +187 4.195184 2.096112 +188 4.219446 2.040258 +189 4.244121 1.985892 +190 4.269215 1.932974 +191 4.294733 1.881467 +192 4.320680 1.831333 +193 4.347006 1.782534 +194 4.372739 1.735035 +195 4.398689 1.688803 +196 4.425100 1.643802 +197 4.451985 1.600000 +198 4.458295 1.590000 +199 4.464671 1.580000 diff --git a/2024-12-17/X198039.340 b/2024-12-17/X198039.340 new file mode 100644 index 0000000..777b358 --- /dev/null +++ b/2024-12-17/X198039.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-CU-HT 2024-12-17 +Serial Number: X198039 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +calibrange : 1.75849,304.694 +Number of Breakpoints: 199 + +No. Units Temperature (K) + + 1 1.700769 330.0000 + 2 1.723519 310.0000 + 3 1.733462 301.7396 + 4 1.743455 293.6992 + 5 1.753504 285.8731 + 6 1.763605 278.2556 + 7 1.773752 270.8410 + 8 1.783941 263.6240 + 9 1.794167 256.5994 + 10 1.804423 249.7619 + 11 1.814705 243.1066 + 12 1.825009 236.6286 + 13 1.835334 230.3233 + 14 1.845677 224.1859 + 15 1.856034 218.2121 + 16 1.866404 212.3975 + 17 1.876783 206.7379 + 18 1.887169 201.2290 + 19 1.897559 195.8669 + 20 1.907950 190.6478 + 21 1.918340 185.5676 + 22 1.928726 180.6229 + 23 1.939104 175.8099 + 24 1.949473 171.1252 + 25 1.959829 166.5653 + 26 1.970171 162.1269 + 27 1.980494 157.8068 + 28 1.990796 153.6017 + 29 2.001073 149.5088 + 30 2.011320 145.5249 + 31 2.021536 141.6471 + 32 2.031718 137.8727 + 33 2.041865 134.1989 + 34 2.051975 130.6229 + 35 2.062049 127.1423 + 36 2.072090 123.7544 + 37 2.082099 120.4567 + 38 2.092079 117.2470 + 39 2.102032 114.1228 + 40 2.111959 111.0818 + 41 2.121864 108.1218 + 42 2.131744 105.2407 + 43 2.141599 102.4364 + 44 2.151429 99.70685 + 45 2.161231 97.05001 + 46 2.171005 94.46396 + 47 2.180753 91.94681 + 48 2.190473 89.49674 + 49 2.200166 87.11196 + 50 2.209831 84.79073 + 51 2.219468 82.53134 + 52 2.229079 80.33216 + 53 2.238665 78.19158 + 54 2.248226 76.10805 + 55 2.257764 74.08003 + 56 2.267280 72.10605 + 57 2.276774 70.18467 + 58 2.286247 68.31448 + 59 2.295699 66.49414 + 60 2.305131 64.72229 + 61 2.314543 62.99767 + 62 2.323935 61.31899 + 63 2.333309 59.68505 + 64 2.342663 58.09465 + 65 2.352000 56.54662 + 66 2.361319 55.03985 + 67 2.370620 53.57322 + 68 2.379905 52.14568 + 69 2.389174 50.75618 + 70 2.398426 49.40370 + 71 2.407663 48.08726 + 72 2.416884 46.80590 + 73 2.426091 45.55868 + 74 2.435283 44.34470 + 75 2.444461 43.16306 + 76 2.453626 42.01291 + 77 2.462778 40.89341 + 78 2.471915 39.80374 + 79 2.481034 38.74311 + 80 2.490127 37.71074 + 81 2.499186 36.70587 + 82 2.508215 35.72779 + 83 2.517225 34.77576 + 84 2.526227 33.84911 + 85 2.535229 32.94714 + 86 2.544231 32.06922 + 87 2.553228 31.21468 + 88 2.562219 30.38292 + 89 2.571200 29.57331 + 90 2.580167 28.78529 + 91 2.589119 28.01826 + 92 2.598053 27.27167 + 93 2.606972 26.54497 + 94 2.615875 25.83764 + 95 2.624765 25.14915 + 96 2.633643 24.47901 + 97 2.642510 23.82673 + 98 2.651369 23.19183 + 99 2.660222 22.57385 +100 2.669072 21.97233 +101 2.677923 21.38684 +102 2.686775 20.81696 +103 2.695631 20.26226 +104 2.704488 19.72234 +105 2.713349 19.19680 +106 2.722211 18.68527 +107 2.731077 18.18737 +108 2.739945 17.70274 +109 2.748818 17.23103 +110 2.757697 16.77188 +111 2.766586 16.32496 +112 2.775486 15.88996 +113 2.784400 15.46655 +114 2.793332 15.05442 +115 2.802284 14.65327 +116 2.811257 14.26281 +117 2.820254 13.88275 +118 2.829276 13.51282 +119 2.838325 13.15275 +120 2.847404 12.80228 +121 2.856513 12.46114 +122 2.865655 12.12909 +123 2.874832 11.80589 +124 2.884046 11.49131 +125 2.893300 11.18510 +126 2.902596 10.88706 +127 2.911936 10.59696 +128 2.921324 10.31458 +129 2.930762 10.03973 +130 2.940253 9.772210 +131 2.949800 9.511814 +132 2.959403 9.258356 +133 2.969065 9.011653 +134 2.978787 8.771523 +135 2.988570 8.537792 +136 2.998418 8.310289 +137 3.008331 8.088848 +138 3.018311 7.873308 +139 3.028362 7.663511 +140 3.038485 7.459304 +141 3.048683 7.260539 +142 3.058958 7.067071 +143 3.069312 6.878757 +144 3.079749 6.695462 +145 3.090271 6.517051 +146 3.100880 6.343394 +147 3.111579 6.174364 +148 3.122371 6.009838 +149 3.133260 5.849696 +150 3.144247 5.693822 +151 3.155338 5.542101 +152 3.166534 5.394423 +153 3.177839 5.250680 +154 3.189256 5.110767 +155 3.200788 4.974583 +156 3.212436 4.842027 +157 3.224204 4.713004 +158 3.236095 4.587418 +159 3.248115 4.465179 +160 3.260273 4.346197 +161 3.272576 4.230386 +162 3.285007 4.117661 +163 3.297522 4.007939 +164 3.310079 3.901141 +165 3.322685 3.797189 +166 3.335413 3.696007 +167 3.348349 3.597521 +168 3.361541 3.501659 +169 3.374954 3.408352 +170 3.388543 3.317531 +171 3.402286 3.229130 +172 3.416191 3.143085 +173 3.430267 3.059332 +174 3.444523 2.977812 +175 3.458965 2.898463 +176 3.473601 2.821229 +177 3.488437 2.746053 +178 3.503480 2.672880 +179 3.518738 2.601657 +180 3.534217 2.532331 +181 3.549920 2.464853 +182 3.565849 2.399173 +183 3.582006 2.335244 +184 3.598394 2.273017 +185 3.615011 2.212449 +186 3.631861 2.153495 +187 3.648950 2.096112 +188 3.666284 2.040258 +189 3.683870 1.985892 +190 3.701717 1.932974 +191 3.719833 1.881467 +192 3.738225 1.831333 +193 3.756987 1.782534 +194 3.777600 1.735035 +195 3.798998 1.688803 +196 3.820776 1.643802 +197 3.842944 1.600000 +198 3.848147 1.590000 +199 3.853405 1.580000 diff --git a/README.md b/README.md new file mode 100644 index 0000000..6e87cb3 --- /dev/null +++ b/README.md @@ -0,0 +1,4 @@ +thermometer calibration scripts + +these are scripts for SEA, jupyter notebooks to handle +thermometer calibration with a lakeshore 370 diff --git a/calib_cernox-2018-11-22.ipynb b/calib_cernox-2018-11-22.ipynb new file mode 100644 index 0000000..ba3ac8b --- /dev/null +++ b/calib_cernox-2018-11-22.ipynb @@ -0,0 +1,383 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 25}\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c2.dat')\n", + "{'selected': 0, 'averaged': 25}\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 25}\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c5.dat')\n", + "{'selected': 0, 'averaged': 25}\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 25}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X133982', 'CX-1050-SD'),\n", + " Sensor(2, 'X137461', 'CX-1030-SD'),\n", + " Sensor(4, 'X133928', 'CX-1050-SD'),\n", + " Sensor(5, 'X131824', 'CX-1050-CU'),\n", + " Sensor(6, 'X132254', 'CX-1050-SD'),\n", + " ],\n", + " t_points = (1.0, 1.2) + logrange(1.4, 310, n=195) + (330,),\n", + " caldate = '2018-11-22',\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = 'calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('z340', 'READ 2018-11-20/X133982.340')\n", + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('z340', 'READ 2018-11-20/X133928.340')\n", + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('z340', 'READ 2018-11-20/X131824.340')\n", + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('z340', 'READ 2018-11-20/X132254.340')\n", + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('z340', 'READ 2018-11-20/X137461.340')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlkAAAF2CAYAAABd6o05AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nH2dG5XdP+2VUAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2018-11-22/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2018-11-20/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nngAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4VEX/BfDzDb0mdEINIE0EFsWAoBiDSAAVRUBQ+CkW\neC1YwFfsYqWKheaLIiqKsSBKVWoQxCiCUqQkIqGHkoSakLJ7fn9sVFrKbvpyPs+Th8y9szOTcPfs\n7Nybu0YSIiLiu/wKegAiIpK3FPQiIj5OQS8i4uMU9CIiPk5BLyLi4xT0IiI+TkEvIuLjFPQiIj6u\neH52ZmZlAUwBkAxgJclZ+dm/iMjFKL9n9L0AfElyCICb87lvEZGLUo6C3symm9lBM9t4zvYwM9tm\nZlFmNuKMXXUA7En/3pmTvkVEJHtyOqOfAaDrmRvMzA/ApPTtLQD0N7Nm6bv3wB32AGA57FtERLIh\nR0FPcjWAhHM2BwOIJrmLZCqAcAA90/fNAdDbzCYDmJeTvkVEJHvy4mRsbfy7PAMAe+EOf5BMBHBP\nVg2YmW6pKSLiIZIXXCkptJdXkiy0Xy+++GKhbtvTNjypn526WdXJaL+n2wvLV16PT8eEjonstJ+Z\nvAj6fQDqnVGuk77NZ4SEhBTqtj1tw5P62ambVZ2M9ufl7zUv5fW4dUwUPYXtmLCsXgmybMAsCMA8\nki3Ty8UAbAfQGcABAL8A6E9yqwdtMqfjEt8xcuRIjBw5sqCHIYWIjonzmRmYF0s3ZjYLwBoATcxs\nt5kNIukEMBTAYgB/AAj3JORFzlVUZ3WSd3RMeCbHM/q8oBm9iIhn8mxGLyIihZ+CXkTExynoRUR8\nnIJeRMTHKehFRHycgl5ExMcp6EVEfJyCXkTExynoRUR8nIJeRMTHKehFRHycgl5ExMcp6EVEfJyC\nXkTExynoRUR8nIJeRMTH5WvQm1kDM3vfzL7Iz35FRC5m+Rr0JHeSvC8/+xQRudh5FfRmNt3MDprZ\nxnO2h5nZNjOLMrMRuTNEERHJCW9n9DMAdD1zg5n5AZiUvr0FgP5m1ix930Azm2BmgX9X97JfERHx\nkFdBT3I1gIRzNgcDiCa5i2QqgHAAPdPrzyQ5DECymU0F4NCMX0QkfxTPxbZqA9hzRnkv3OH/D5Lx\nAB7ITmMOhwMOhwNBQUEICAiAw+FASEgIACAiIgIAVFZZZZUv2vLf30dGRiI2NhaZMZKZVsjwgWb1\nAcwj2Sq9fBuAriQHp5cHAAgm+YgXbdPbcYmIXIzMDCQvuCyem1fd7ANQ74xynfRtIiJSgHIS9Iaz\nT6quBXCJmdU3s5IA+gGYm5PBiYhIznl7eeUsAGsANDGz3WY2iKQTwFAAiwH8ASCc5NbcG6qIiHjD\n6zX6vKQ1ehERz+TXGr2IiBRCCnoRER+noBcR8XEKehERH6egFxHxcQp6EREfp6AXEfFxCnoRER+n\noBcR8XEKehERH6egFxHxcQp6EREfp6AXEfFxCnoRER+noBcR8XEKehERH1c8Pzszs54AegCoAOAD\nkkvys38RkYtRgXzClJkFABhH8v4M9usTpkREPJDrnzBlZtPN7KCZbTxne5iZbTOzKDMbkUkTzwGY\n7E3fIiLiGW/X6GcA6HrmBjPzAzApfXsLAP3NrFn6voFmNsHMapnZaAALSf6eg3GLiEg2eRX0JFcD\nSDhnczCAaJK7SKYCCAfQM73+TJLDANwGoDOA3mY22Pthi4hIduXmydjaAPacUd4Ld/j/g+REABNz\nsU8REclCvl514wmHwwGHw4GgoCAEBATA4XAgJCQEABAREQEAKqusssoXbfnv7yMjIxEbG4vMeH3V\njZnVBzCPZKv0cnsAI0mGpZefAkCSY7xoW1fdiIh4INevuvm73fSvv60FcImZ1TezkgD6AZibg/ZF\nRCQXeHt55SwAawA0MbPdZjaIpBPAUACLAfwBIJzk1twbqoiIeKNA/mAqK1q6ERHxTF4t3YiISBGg\noBcR8XEKehERH6egFxHxcQp6EREfp6AXEfFxCnoRER+noBcR8XEKehERH6egFxHxcQp6EREfp6AX\nEfFxCnoRER+noBcR8XEKehERH6egFxHxcfka9GbWzMymmtnnZnZvfvYtInKxKpBPmDIzg/ujBm/P\nYL8+YUpExAO5/glTZjbdzA6a2cZztoeZ2TYzizKzERk89iYACwCEe9O3iIh4xqsZvZldDeAkgI9J\ntkrf5gcgCkBnAPsBrAXQj+Q2MxsIoA2AcSQPpNf/lmTPDNrXjF5ExAOZzeiLe9MgydVmVv+czcEA\noknuSu80HEBPANtIzgQw08yuNbOnAJQGsMKbvkVExDNeBX0GagPYc0Z5L9zh/w+SKwGszMU+RUQk\nC7kZ9LnK4XDA4XAgKCgIAQEBcDgcCAkJAQBEREQAgMoqq6zyRVv++/vIyEjExsYiM15fdZO+dDPv\njDX69gBGkgxLLz8FgCTHeNG21uhFRDyQ61fd/N1u+tff1gK4xMzqm1lJAP0AzM1B+yIikgu8vbxy\nFoA1AJqY2W4zG0TSCWAogMUA/oD7OvmtuTdUERHxRoH8wVRWtHQjIuKZvFq6ERGRIkBBLyLi4xT0\nIiI+TkEvIuLjFPQiIj5OQS8i4uMU9CIiPk5BLyLi4xT0IiI+TkEvIuLjFPQiIj5OQS8i4uMU9CJy\n0TlyBHj0UeC6GxJxdZ/1WLbqZEEPKU8p6EXkorJ4MdCsTTyWlBuEXzoFYqdjILosro5GL3THpoOb\nC3p4eUJBLyIXjVWrgNsfX4diDznQ5ZqK2D3sL+x79g/sf+QokreEod2UUExZO7Wgh5nrdD96Ebko\n7NoFXN5tI1wDumD6rVPRq3mvs/bHxwNXdt2BpFt74O52vfBa6Gswu+Dt3QulzO5HX2g/HDzPHD8O\nrFvn/l+vVw+44grA3z/Puz2SeAS/HfgNKc4UtK3VFjXK18jzPkVyW6ozFcX9ihepAAQApxPoe98+\npPXrhvd6Tjwv5AGgcmXgi3cboestP2JO+RCUK1EOz3Z6tgBGm/sunqA/fRqYMMH91awZEBQE7N4N\nbNgAdOkC/Pe/QLt2ud5tdFw0Xoh4AYuiFyGo1OVIO+GHGFuL9nWvwvu3vIuggKBc71Pyx55je7Bm\nzxpExUWhZLGSCKwQiFY1WqFVjVbwM99ZFSWJSas+xrT1/8O247+iRLHiaF6tOe647A7ce/m9CCgd\nUNBDzNLY8anYdlk/DO/0APq26AukpgLh4cAXXwBr1rjLNWrgirZtMeWq2zB98Vx8gOtRz78eBrYe\nWNDDz7GLY+nmxAng5puBcuWAt98GGjX6d9/Ro8CnnwJjxgBt2wKTJwOBgTnu0kUXXvvhNbz989vo\nVnE4Kr1UBfec+gSXJv0Kc6YhumxlTO5yCt1e+Rg3XnZrjvsripwuJzYf2oxf9/+KxNRE+Jf2R6sa\nrdC8anOUKl6qoId3Qclpyfj8j88xbd00bD2yFZdX6YQTfzVH7OFUpHAXipVfh5SqTjzQ4R48dtUj\n+RKCLhfgl0evKzH7TyD07bvRZtOv6PvHZQhIKIHNJS5D2qAgbLwqAstjlmFcl3EY0GpA3gwgF/z5\nJ9Dy8acRfPNvWHHvAvh9+RUwYgRwySXAvfcCoaFA6dLA3r3ATz/B9eksxP24DetuuhP3XTEDi+5d\ngZY1Whb0j5GlzJZuQLLQfbmHlUuSksirriIHDybT0jKv99xzZLVq5OzZOeoyMSWRfb/sy3bT2nPE\ngB/4a+kOPNakLTlvHnniBHn6NLe9u4JrKlzONXVLcMHK93PUX1GS6kzl+5HhvOKN7izzUgArv9CU\njZ4YyLYvPMROb/djs4nNWfrV0mw7rS1HrRrFvcf2FvSQ//Httm9ZZ0Iddvm4Cz/99RvedU8yOwZs\n5i+O+3iqRhCdxYozuXQFHi5ZhbMaNWKHRwP4TuQ7dLqcuT6WkydcnHDHWg6stZQtS2xlaCj56aek\ny5V7fcxbdoSNB7Ti2ro1mHxpK3LiRDI8nPsHPMFDJWtxZdVeXLbwWzaf1JxD5g1hclpy7nWeS1wu\n8vJeK1jxpUAe2htF3noreeml5KpVmT4uevYGLix5Mw/Xr81b/1uPJ5NP5tOIvZeemxfO1Ix2FORX\nrgb9Qw+RvXtn/xnw889k/frksGFkSorH3R04cYDB7wWzT3g/jrtsKo+WrMpTYyaSzvOf7IcPOjmh\n7hDuqejHtUtnetxXUXIgIYEDpoxjmWfqsdh9ndj6zs846IH9fHd4FBc+9j0/uvN73ttmHWtXTuSg\n+xP59txlHDx3MCuNrsRB3wzi/uP7C2zsh04eYr+v+rHR2424YucKrl5NNq9znKua309nterk66+T\nW7a4jzGXi66dMYy8dTRji1XlZx0Ded3U9twRvyN3BuNyce+YT7ijRFMeqNCYJ4KvozOwFg+26sw7\nm67lNdeQe3PhtfG7ZacY2rMx4yuWpWv8+PMmSWnHT3HZda/wsF91/jnxM9406yaGfhTKo0lHc955\nLpryQTxLPFmXy797n2zalHz4YfL06Ww9dtxYF19u9imPVSzFDx++JtfGtG4d+eqrZP/+ZOfOZKdO\n7u/Hjye3b/+33u6ju7nsr2VcGbMyW5OFQhP0AMIAbAMQBWBEJvX40IKHuDJmJdOcmczCM3PkCDl6\nNNmgAZmQ4Plju3cnO3b06FkTHRfNoLeC+NzC5/htnQe4t2Izpm7ckulj9u4lH240jPsq+vHArxGe\njdNLCUkJXBS9iK/98Br7fNGHl06+lEFvBbHpxKbs/FFnDpk3hG/99Ba///N7JiR5+Ls7x28xO9jh\n5UdpT1Vijf/cwf+N+JCnHx5OtmxJli7tflHt3Jns0oVs2ZLOUqUZV7UJvy3fn681+ZBL5/7Jp5Y8\nxapjq3Lq2ql5MjvOzLK/lrHm+Joc/v1wnko5xXfeIbtX+pEnazYk77uPPJpxsK2en8DZJW/nvjo1\nGfzfSpy5IYcv5rGxPHFVF24q3ppfDp/DTbEbGZ8YTyYnk++9R1f16lzWZRSD6rsYFeV9N2vWuBjS\nJZQJ5UvRtWRJpnW/fWoN9/vV5oGRk/ng/AfZamor7ju+z/vOc9HBgy6WGtCHrz1xC1m9Ovm//3n0\n+LQ0dwRMG7GWf1Urweg7unk1+SPdc4BFi8i2bd2H/PDh5Mcfk4sXk8uXu78fPJisWZMMDjnM69++\nn1XGVGHIhyFsOaUlG7/TmMv+WpZpH4Ui6OG+Zv9PAPUBlADwO4BmGdTlqytfZeuprRk4PpAPL3iY\nP8T8kPWT/MQJ8pNP3CHt70/efju5eXN2/h/O53SSr73m/s1ncbCT5MbYjaz1Ri2+P38cN1TqxHW1\nejD1SPZmNz//TD7Y4lburVyKp/ft9m68WXC6nPx6y9e85oNrGPBKOQ4YHczpI3ty/WP9eGTAbTx2\nZx8eufcObn3qfi58/R6OfrM3e77TgRVeK8+rP7iaL0e8zMg9kdl64XW5XJzz62o2fq4X7cnK7N93\nAGP630/Wq0c2a0Y+/7z7hz55gbfDycnkpk1M+9/7jLmiF4+aP9c06M/fF8xmh+kdeNX7VzHqSA5S\nzANvR77NGuNqcPlfy+lykf8d7uTEaiOZWrUGOWdOttpY/L2Lw8u/y6RKlXnPw/V45+w7vZr1un75\nhYk1anBU8zas/lJdBowOYPNJzVn+9fK8ctqVXBC1gK5du8jgYG6+9gHWCnRx61aPu+Fvv5FXXj2U\nh8sXZ/KCudl6zKev7OCu4g147JlRfP2H11n/zfrccijzCU5+6PDghxzePZCuGtXJCO8mUdHRZJUq\n5OxFS7i0aUkmXdPB44njvn1kjx7uNxSzZ2e+grzt4A46RgTxneZteKhUIJ3lytPVpAk3P/8f1nmt\nKjfGbszwsYUl6NsDWHRG+amMZvVnLt1sO7yNr6x8ha2mtmKtN2px6MKhXLVr1b+hf/q0+0nXty9d\n/v5M7dqDh976lOtWnuCiReS0aeTTT7tfQV94gfzwQzIqyoO1zOXLyVq13EtAx45dsMrPe39m9XHV\nuWja8zxYui7nNH+aqac9eycyebKLY9s0ZVSzGu7zBbnou+jv2P7NFhx1Rz0ebNKQaSVL82RgIx4K\n7sGY3sMZ9fgUHn3jfbremEA++ih5yy1kmzZkpUp01azBA107cu59nXj34w1Z56UAdvm4C59c/CTD\nN4Xzx90/cv3+9fxpz0/86PePePOMgSz/TE1e1acuw9uGMiWwzr/hvmmTx4vIx3fFc/ZV43ioWA0e\n7tyXMz9/llXHVuWsjbNy9Xd0JpfLxScXP8lmk5pxZ8JOpqaSQ+44zh8q3cyUDp3I/Z4tI330Edkv\nMIJpVatxxuPXscFbDbhqV+ZrxGf67YPXGV++OHv3rM7ur4/i1sNb6Ur/PaakpfCbrd+w6cSmvGnW\nTTy0/0+yfXtuCX3I47CPiiJbtpnGvRWLMf69iR79jG8+sZd/lrqUScOe5ofrZ7Da2GpcFL3IozZy\n04ffRHFsuzJMbFCf/PPPHLU1ZQoZHEy+vPQlzr6+Nl2tW5Oxsdl67MKF7jcTL76Y9ZuB7Ue28z8D\nKvFU5Qp0PjaM7w3bwkbVjnHtO2vIG27gvg6t2Gh8PZ5IPnHBxxeWoL8NwLQzygMAvJNB3Qv+IFsP\nb+XI5S+z4fjLePlD1fj5pY2YULIMf6zcnI/XGcGaFbexTFkX69UjL7+cvOEGctAg8uWXybFj3VnT\nv787txs3dq/sHDqU+S+fJBkXR95zj3t2P2kSefz4P7sWRC1gq2cq8a/eXRlXsiZHd1rA1NRstHkO\nl4vs0fMo51xagVHdgnPlrNrJ5JN8/KM7+WHHijxeujwXlruNt1dZwuuuSuINN7hXSzp3Jjt0ICtX\nds9crr3WvYw5ZQr5/XcuxkTsZNqHM8mhQ8l27egqU4Yn69ZkdLvGnNetEf93cx2+2bUGx4fW4fuX\nNeLPFRvwdImyTG1+mfuV1Ytwv5BvPz3BV8u9zlPlqvLQXX3peK0eRywZ4f3SXgZS0lJ415y72P79\n9jxy6ghPnSLvDf2LO8tfxpRBg93vOLzw5JPkwLZb6Kpfn388didrj6/Ffl/149bDF05ip8vJpTuW\nctS9TXmoQjHec+OLHPB/aRn+KpPTkvn00qcZOD6QkZu/J9u145bOD2c77PftI1tc9iO3Vy3GXSOH\nefzzuVzkk/cc5rbyVzB1yINctXMlA8cHctyP4/55Ucovxw4d51eNKnN744buZdgccrncz5Vnnkvj\ntR904oq7Q9wBEhOT6WNGjXJnzerVWfexO24n/xdSkcfqVCfXrv1n+7JlZI0a5ISxqXT16MFloQ04\n+odRF2wjs6DPt8srzew2AF1JDk4vDwAQTPKRC9Rl69at4XA4EBQUhNTUACQlORATE4IVK4DWZd/D\nE3FPILXr9Vh6TW38cnAz4lP2IaHWYaS50lD9cHXUrlAb7a9uj74t+uJE1AkAQEhICABgxYoIbN0K\nrFsXgjlzgKuuikCfPsDdd7v3R0REnFX/n7K/P/Dii4hYsgSsXx/1q/ghaWc0Yo8Wx0r/W3Gg/TuY\n+mVVrF6dweOzKLdoEYK2V2/AM/GXIyC0G27/fL5Hjz+zHH14O3bPfhGPzTuGV5xhSOh8Bx5/rQ9a\ntwZWrjy/Pgk0bx6CzZuBOXMiEBMDJCWFYMcOYP/+CFSrBgQFhaCkpaJEXDiqJu1Bm6SScCUcQ1yF\nGFSrSoR1aIPmA9rix+STQLlyHv/8WZUbNgzBA33j0HHHPWiXshLre9XA6usbY3C1B1CuZM77u7LD\nlej7VV/EbYnDi9e+iPZtu+GVaxYjNKofygweiM4T3wLMvGrf6QTeeScETcrvR/efO8F5SSOse7wd\nJmz6H+rG10Wn+p3Q7fpu2HdiH2YvnI21eyLx4h4/DPjNhWeDx2Lp9gZYvz4EpUtn3t+i6EXo90Y/\nPN3mETz1wWJsrdgOV6+7Fa+PMgwZcuHxffppBJ5+Kg5f2QCU6Xwd4u560qvfX6dOIbi3z3F0WnoN\n6l9eBY1nTUXPuf1RKbYSHgp+CL269crR/0+2ylu24NMOHREd4IcXtu2FX+kyudJ+fDzw6KMhePnN\n/XhiWUu8dfIaDFy5Hli4EBFHjpxVf9GiCIwbB5w8GYKvvwb+/DPz9ufP/xrbHxuAPhVrod6SnxGx\nadNZ+8PDI/D888DNoW3x+rKWCGt6GP999AuULVkWERERiIyMRGxsLDZs2AAW9OWVcC/dfHdGOdOl\nm9mzySFDyIYN3RPpgQPdJywOz490vxfK4BLI+MR4rt23luGbwjlyxUhWG1uN438cn+HM79Ah94y/\nZk2ya1fy+++znoDGxu7gsOeC+cTDTbj966/ZvUsKb7+dXs3kzzV/Ptniyo+4N6AY4z/y7OQR6V52\nmPXZs/y5XnGuDWjM4V028MCBnI3p9Gly2zb3zGTlSvdq1sqV5B9/5PoqU5ZSU91vFLpUXc+45u0Z\n1aImw0Y2zvFVLUdOHWH799vzrjl3MSUthbt3pnFytReZUK4Wncu9W9891/Hj7nPQk0cdI//v/8hG\njZj8zWx+tnEW75x9J0M/CuUds+/grBnDeeqK1mRoKBe+v4916ni2WvTz3p8ZOD6QE797ha4rr+Sf\n3YeyWhUnZ806/9ieO5dsWOswVzWuzF+ua3rBq8M8cfo02f26RK5peCddrR1M3LKRw74bxipjqvDV\nla/yVMqpHLWfoaNHyaefZlJFf94bVpEb/sz9E8KRkWTVquQbc5YycHwg49+b5L4ce+nSf+qsXete\ni7/77uw9N1KOJfDXFpW5/upLMn23ePSoezV1Vu/Z3BkUwDEXmNWjkCzdFMO/J2NLwn0ytnkGddm1\nK/nGG+TGjWccnKtWuX+x8+Zl/RtM91f8X+w4vSPbTmvLH3f/mGG906fJGTPcT8QWLch33yUPHjy7\njsvl4tdbvmbN8TX53LLnOWduCuvWda9q5EbI/+0//yH79v8P4yuUYMoP2Q+ZE6cSGN6/FY+UK8bH\nq77EDz/I3ytU8tPy5WSdWk5+e90bTPQvx2dvrsBl0Yu9amvX0V1sNqkZRywZQZfLxc3LD3Jlqeu5\nu1EIXftz+Cp5jpgY96Ri4UK6j+PLLiMdDvci7pgx5PXXk7Vrk+++y42/O1m16lnv5LPfT0IMW01t\nxYc+uZPOjh0Zd10vXnnpSYaGuq8GHTXKvbTZMSiam4Mqcdl1DZiWnL3LDrNy4gR5QxcXp7V8h64q\nVcgJE7gj5nf2+aIP60yow7GrxzIuMS7nHSUluS9bGTKEDAjgsX59GPRAbT40MXsnyr2xdKk7gnqM\nG8lrpl/L1OXLyOrVeXj8hxwyxL3vs8+y15YrPp7Rzapz8bV1mJaS9ZLgwYNk0yYuRtdtxImPtD9v\nf2ZBn69/GWtmYQDehvsKnOkkR2dQj+eNa/ly4Pbb3X/FesMNHvVLEjM3zsTzK55HkypN8EjwIwi7\nJAwlipW4QF1g2TJg2jT37UxbtgS693AivubX+CbudaQ50xB6ejJ++bIT/Pzcf1AbFubRcLJ06hTg\naONCt2uvxqufr0OZ8Nko0f3GTB/z18pvkTiwH06WrIxHk5dj2vymaN06d8dV2Bw5AgwaBJTaFYXJ\nxfpgb/xWrH15CO4f+BaK+RXLVhurdq3CHV/fgWHth+Hxqx7H2jdXo9YT/XGs5//h0i9eAorn/l1C\n1qwBbrkF+PhjIOwGl/vY/v57ICUFuPpq4KabsOWv0ujaFRg9GrjzTu/6OZlyEgO+HoBjxw7h25WB\nqBD5G34IG4UfXVcBSUm4zvUlmn37Mhb2aIw+M9ejZC7+NXJKCnD//UD8T9sxq+4IVFi/EggLQ0xw\nU3yQ+jNmH1mF4MAr0C2oC7rU6IBKBxLcf5kaG+v+On7c/ee+fn5AsWLuLz8/wAxISABiYoCoKKBN\nG+DGG7G3Z1c0+7QfLjl2P36b9CTy8lY8mzYBw4Y78UPdHqjkVw9XLH8Mk2NuxM7Le6P1/NdQucb5\nuXKenTtx6PoOWBKUhp4LdqB86YrZ6nvPHmBc50fQrfzX6LZ+71n7iv5fxn73nfs904oVWb7qZSY5\nLZkzfpvBjtM7ssa4Ghz23TBG7Iy44Fns+MR4fr5hDm+eOpT+zzdipf+246W3zmVoZyeHD3efJMnL\nc0y//EJWC0zio093ZHzFkkwa/eoFO3QlJHDDg7fxcDnjqOvu4uVtXNxXOC5jzhcuF/nWW2S1Kk4u\nHTiaCeVL8MuQ6tyyPvPZ/ZknL+dvn8+UnXv5a+tBjPWryU1j5uf5uNesca9ATply/n/r8uXuWf9H\nH+W8H6fLyTfWvMEqY6pw0uu38mhwKybVrMr46hX5+eWl+M7UQXn2twkuF/n++2SlSuR/bjnATY++\nx7Q+t5Nt2tBZpw5P1K7OfYHlubGmH5e0LMclPS7l+od7M27iOPLLL8kvvnBPjz/5xL1uO2MG+cEH\n5Ndfu58giYkkyTkbF7P0s4FsfNc4b8+Ve2X9H8fZ7I22vPuTp5i6/yDZrRvZvr17TTMzCxYwqYo/\nn7/Fn3uP7vG431lDX+LCRlXP247CMqPPrrNm9HPnAvfdB3zzDdChQ671ERUXhY83fIxlO5fh99jf\nUapYKVQs5X5VPZ58HGmuNHSs1xGhQaHo3LAzrgi8It/v2Dd2LDDz01TcMOQuDBw7Bw3966PcHXej\nWN16SI4/jIOLvkRARCRWNSuHKZXCUbxcN8ya5b6lz8Xmt9/cs/vGlQ7isUoD0fz7pVgX0gQ1nnwZ\nl3Xq/c9NxpwuJxbvWIznVjyHOuVq4cMaQ5DyzrcovXA2Fte7H52+ewY1muT93UwBYNs2YOBAoGJF\n4MEH3f/OmgUsWQJMnw507Zp7fe05tgfTf5uO+VHzUaFUBbSp2QYPtH0Ajas0zr1OMnD0KPDhh8CX\nXwIbNwINGwJVqgCJie6vk4lOHCv5B05VWY2UWiuAoAgUd1ZErZQQtK8Zgj7trkaX4HqoWOHfd2lp\nrjSs2vkTnvxmAn4/+CvCTn+EL8aEokyZPP9xznIk8QhCPwpF2CVhGBM6CjZ1KvDSS+63YY8/DtSv\n/2/lHTuWwDZdAAANbklEQVSAUaNw+rsFuP3GJLw0MgKOmg6P+1w89h2UnPg8QvYcO2t7ZjP6wh30\nX30FPPQQsGCB+4ZjecRFF46ePooTye6rcyqWqgj/0v4FfgdC0n3vpeXLgcHjP8Hvs1+A49d9qH66\nGE76peJQmyZg+0fx7tj7cPNNfhg71v0O92KVmgpMnOhe7ugVGo3bEgeh5aqfcbI4sf7KOvizoT+2\nn9iJhsWqorezGRp9txkHEysg3O8ONB43BLfeXzVP3/JnNOaPPwY++wxISgK6dQMefhgIKPw3hPTK\n8ePuvIuPB8qWdU9K/v63XDn3vcVOniRWbduCbzdEYNWeCOxy/YTUEkdQIrEu/K0uWPwUjhWPBo/V\nQVD8fRjb7z70uqlsgf1M8UnxCPskDE2qNMG7N76L8nEngDfeAD74AKha1X2TxLg44OBBxPQKxXV1\nlmLaHeHo0qiLV/39/vmnSH70PrSLTTpre9EM+k8+AZ54Ali0CHB4/qrnK0j3BGH6dGDSJKB1h8NI\nYzJ2/BGA6VPL46efgDffBHr3LuiRFh5Hj7pvQjplChDgT/RqsQjXnv4EdeJ2o0xqWRx31sQvhxti\ntvXGrc9fhoED3QEjhdfJ06cR8XsMftm2F35p5dCoSgNc375mbtxoNlckpibikUWP4IddP2BC1wno\n0bgHLCUF+OsvIDYWqf4VMO7IXLy14V181fcrdKrfyeu+9vz4HU7cfDPqxqSgQoV/txfNoK9Vy302\ntEWLgh5OoTB/vnsp59df3R+i0KSJe0Xrnntw1n+2/Cstzb1U8MMPwMqV7nN8lSsDzZv/c87zon4H\nJLlv3vZ5eGrZUyjhVwI3NrkR/qX8sfPoTszdPhcta7TEtBunoa5/3Rz1Ebd1PU61vxIn1jjPisei\nGfTbt7vTTM6SkuK+ECSv7j8uIjnjdDmxevdqLN6xGCnOFNQsXxM9mvRAs6rNcqX9pNi9SGpQF5Gz\nie7d/91eNIO+EI5LRKSg8fRppJYrg2kTU/Hwg/9e/ptZ0GteKCJShFipUjAAMTEJ2X6Mgl5EpCgx\nw8lShoMxB7P9EAW9iEgRk1iyGOIPHM52fQW9iEgRc7p0MZw4HJft+gp6EZEi5nTZEkg7EYfU1OzV\nV9CLiBQxKWVKItA/Hvv2Za++gl5EpIhJLVsKtSolYPv27NVX0IuIFDFpZUsjqNpR/Phj9uor6EVE\nihhn2TKo5X8cq1dnr76CXkSkiHGVL4sqpY5j7Vpk64Ssgl5EpIhhuXIokXwSDRu6P4shKwp6EZEi\nxspXgJ08hauvRraWbxT0IiJFjFWsCL9TiYUz6M2smZlNNbPPzeze/OxbRMRX+FWoiOKnkv4J+qxu\n9puvQU9yG8kHAPQDcEN+9i0i4iuKVwxA8cRk1K0LlCkDREdnXt/joDez6WZ20Mw2nrM9zMy2mVmU\nmY3I5PE3AVgAINzTvkVEBCjuXwklkpIBIFvLN97M6GcAOOvz6c3MD8Ck9O0tAPQ3s2bp+waa2QQz\nCwQAkvNIdgdwtxd9i4hc9Er5V0HJpBQA2Qv64pnvPh/J1WZW/5zNwQCiSe4CADMLB9ATwDaSMwHM\nTN9+LYBeAEoDWOFp3yIiApT0r4wSSWkA3EH/5puZ1/c46DNQG8CeM8p74Q7/s5BcCWBlLvUpInJR\nKl2pGkoku4O+RQvgcBa3ps+toM91DocDDocDQUFBCAgIgMPhQEhICAAgIiICAFRWWWWVL8ry0cN7\nUDzRiWkjRyIyMhJOZywyk+WHg5vZgwDuB0AA3UnGpi/dzCPZKr1OewAjSYall58CQJJjMm084z71\n4eAiIhk4dTLBvXyT5gLMMGoU8MwzOfhwcJJTSLYheTnJv182LP3rb2sBXGJm9c2sJNyXT87N6Q8j\nIiLnK1POHy4DnEmJANzr9Jnx5vLKWQDWAGhiZrvNbBBJJ4ChABYD+ANAOMmtnrYtIiJZ8zM/nCwJ\nJCW4F+eDzzsjerYsl24KgpZuREQyt6dyMZReFYlqLa4EAJhlvHRTaE/GiohIxpJKFQOPZnG5TToF\nvYhIEXSqXAn4Hdyfrbq6e6WISBG0O6gSUtetzVZdBb2ISBF0uk0rOH+OzFZdBb2ISBHkf831qLJ5\nR7bqKuhFRIqgJh1uQvmjiUB8fJZ1FfQiIkVQgyqXYEPtYohftTjLugp6EZEiyMxwoFltHIpYkGVd\nBb2ISBGVdnkbYG3WV94o6EVEiqjK14ah2paYLOsp6EVEiqhL23YDU1LAvXszraegFxEpour418WG\nuiUQt/K7TOsp6EVEiigzw8Hm9RH3g4JeRMR3XdkWfuvWZVpFQS8iUoRVvbYbamzLfI1e96MXESnC\nYk/GIrVubdQ76vL+owRzk5n1NLNpZvaZmXXJz75FRHxRzfI1sbFeqUzr5GvQk/yW5GAADwDom599\ni4j4qrgWDTLd781nxk43s4NmtvGc7WFmts3MosxsRBbNPAdgsqd9i4jI+fyC22W+34s2ZwDoeuYG\nM/MDMCl9ewsA/c2sWfq+gWY2wcwC08ujASwk+bsXfYuIyDlqhtyU6X6PP0qQ5Gozq3/O5mAA0SR3\nAYCZhQPoCWAbyZkAZqZvHwqgM4CKZnYJyWme9i8iIme7omlIpvtz6zNjawPYc0Z5L9zhfxaSEwFM\nzKU+RUQEQKUylTLdX2g/HNzhcMDhcCAoKAgBAQFwOBwICQkBAERERACAyiqrrPJFW/77+8jISMTG\nxiIzWV5Hb2YPArgfAAF0JxmbvnQzj2Sr9DrtAYwkGZZefgoASY7JtPGM+9R19CIiHjCzDK+j9+oP\npswsCO6gb5leLgZgO9zr7wcA/AKgP8mtXg5YQS8i4oHMgt6byytnAVgDoImZ7TazQSSdAIYCWAzg\nDwDh3oa8iIjkLt0CQUTEB+TqjF5ERIoWBb2IiI9T0IuI+DgFvYiIj1PQi4j4OAW9iIiPU9CLiPg4\nBb2IiI9T0IuI+DgFvYiIj1PQi4j4OAW9iIiPU9CLiPg4Bb2IiI9T0IuI+DgFvYiIj1PQi4j4uHwN\nejNrYGbvm9kX+dmviMjFLF+DnuROkvflZ58iIhc7bz4cfLqZHTSzjedsDzOzbWYWZWYjcm+IIiKS\nE97M6GcA6HrmBjPzAzApfXsLAP3NrFn6voFmNsHMAs98iJfjFRERD3kc9CRXA0g4Z3MwgGiSu0im\nAggH0DO9/kySw0geMLPKZjYVgEOzfhGR/FE8l9qpDWDPGeW9cIf/WUjGA3ggOw06HA44HA4EBQUh\nICAADocDISEhAICIiAgAUFlllVW+aMt/fx8ZGYnY2FhkxkhmWuGCDzKrD2AeyVbp5dsAdCU5OL08\nAEAwyUc8btz9eHozLhGRi5WZgeQFl8WzXLoxswfN7DczW29mNTOotg9AvTPKddK3iYhIAfN2Rh8E\n94y+ZXq5GIDtADoDOADgFwD9SW71alCa0YuIeCRHM/oLNDYLwBoATcxst5kNIukEMBTAYgB/AAj3\nNuRFRCR3eTWjz2ua0YuIeCZXZ/QiIlK0KOhFRHycgl5ExMcp6EVEfJyCXkTExynoRUR8nIJeRMTH\nKehFRHycgl5ExMcp6EVEfJyCXkTExynoRUR8nIJeRMTHKehFRHycgl5ExMcp6EVEfFzx/OzMzMoC\nmAIgGcBKkrPys38RkYtRfs/oewH4kuQQADfnc99SREVERBT0EKSQ0THhmRwFvZlNN7ODZrbxnO1h\nZrbNzKLMbMQZu+oA2JP+vTMnfcvFQ09qOZeOCc/kdEY/A0DXMzeYmR+ASenbWwDob2bN0nfvgTvs\nAeCCn21YFOTlQZYbbXvahif1s1M3qzoZ7S+qT968HreOiaKnsB0TOQp6kqsBJJyzORhANMldJFMB\nhAPomb5vDoDeZjYZwLyc9F2QFPQ5q6Mndf63r2MifxW2Y8JI5qhDM6sPYB7JVunl2wB0JTk4vTwA\nQDDJRzxoM2eDEhG5CJG84EpJvl51k10ZDVZERDzn0dKNmT1oZr+Z2Xozq5lBtX0A6p1RrpO+TURE\nCkBuLN0Ewb100zK9XAzAdgCdARwA8AuA/iS35qgjERHxSk4vr5wFYA2AJma228wGkXQCGApgMYA/\nAIQr5EVECk6OZ/QiIlK4FcqTsefSrRPkXGbWAMCzACqS7FvQ45GCZ2Y9AfQAUAHABySXFPCQCo0i\nMaNPv0QzgeQCMwsn2a+gxySFg5l9oaCXM5lZAIBxJO8v6LEUFgVy90rdOkHO5cUxIT4uB8fEcwAm\n588oi4aCuk3xRXnrBMmUp8fEP9XyZ3hSADw+JsxsNICFJH/Pz4EWdgUS9BfrrRMkY54eE2ZW2cym\nAnBopu+bvDgmhsJ9WXdvMxucr4Mt5ArTydja+Hd5BgD2wv2fCpKJAO4piEFJgcrsmIgH8EBBDEoK\nVGbHxEQAEwtiUIWdPmFKRMTHFaag160T5Fw6JuRcOia8UJBBbzj7RNpaAJeYWX0zKwmgH4C5BTIy\nKSg6JuRcOiZyQUFdXqlbJ8hZdEzIuXRM5J4i8QdTIiLivcK0Ri8iInlAQS8i4uMU9CIiPk5BLyLi\n4xT0IiI+TkEvIuLjFPQiIj5OQS8i4uMU9CIiPu7/AYMvC/wiT17JAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEQly/w/4IErySu6fyAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p0_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p1_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-22_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEfE5Bb2IiM8p6EVEfE5BLyLic/8fjdh3DcEHe4IAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox.ipynb b/calib_cernox.ipynb new file mode 100644 index 0000000..33c8b16 --- /dev/null +++ b/calib_cernox.ipynb @@ -0,0 +1,384 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 25}\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c2.dat')\n", + "{'selected': 0, 'averaged': 25}\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 25}\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c5.dat')\n", + "{'selected': 0, 'averaged': 25}\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 25}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X133982', 'CX-1050-SD'),\n", + " Sensor(2, 'X137461', 'CX-1030-SD'),\n", + " Sensor(4, 'X133928', 'CX-1050-SD'),\n", + " Sensor(5, 'X131824', 'CX-1050-CU'),\n", + " Sensor(6, 'X132254', 'CX-1050-SD'),\n", + " ],\n", + " t_points = (1.0, 1.2) + logrange(1.4, 310, n=195) + (330,), # the points to be used in the cal file\n", + " # t_points = (1.38, 1.42, 1.51) + logrange(1.55, 288, n=57) + (302,310), # the points to be used in the cal file\n", + " caldate = '2018-11-22', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('z340', 'READ 2018-11-20/X133982.340')\n", + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('z340', 'READ 2018-11-20/X133928.340')\n", + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('z340', 'READ 2018-11-20/X131824.340')\n", + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('z340', 'READ 2018-11-20/X132254.340')\n", + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('z340', 'READ 2018-11-20/X137461.340')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlkAAAF2CAYAAABd6o05AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2018-11-22/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2018-11-20/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n1o9vQ3nKStMAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/xcAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ncQp6ERGPU9CLiHicgl5ExOMU9CIiHvf/HzX/4G4mJWwAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/tcl/calib_data/calib2018-11-22_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIgFOQS8iEuAU9CIiAe7/A9Ehh/y006kCAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2018-10-25.ipynb b/calib_cernox_2018-10-25.ipynb new file mode 100644 index 0000000..dc2ff69 --- /dev/null +++ b/calib_cernox_2018-10-25.ipynb @@ -0,0 +1,333 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p0_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p1_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p2_c1.dat')\n", + "{'selected': 2, 'averaged': 46}\n", + "('zdat', 'READ calib_data/calib2018-10-25_p0_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p1_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p2_c2.dat')\n", + "{'selected': 2, 'averaged': 46}\n", + "('zdat', 'READ calib_data/calib2018-10-25_p0_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p1_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p2_c4.dat')\n", + "{'selected': 2, 'averaged': 46}\n", + "('zdat', 'READ calib_data/calib2018-10-25_p0_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p1_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p2_c6.dat')\n", + "{'selected': 2, 'averaged': 46}\n", + "calibration file has 199 points\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X133979', 'CX-1050-SD'),\n", + " Sensor(2, 'X133978', 'CX-1050-SD'),\n", + " Sensor(4, 'X133928', 'CX-1050-SD'),\n", + " Sensor(6, 'X133981', 'CX-1050-SD'),\n", + " ],\n", + " t_points = (1.0, 1.2) + logrange(1.4, 310, n=195) + (330,),\n", + " caldate = '2018-10-25',\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = 'calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# use slightly lower smoothtst as we measured less points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.8e-7)\n", + "print('calibration file has %d points' % len(run.t_points))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-10-25/X133979.340')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p0_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p1_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD/CAYAAAD12nFYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-10-25/X133978.340')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p0_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p1_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD/CAYAAAD12nFYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-10-25/X133928.340')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p0_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p1_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD/CAYAAAD12nFYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-10-25/X133981.340')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p0_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p1_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-10-25_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD/CAYAAAD12nFYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 1,2 and 3\n", + "# with the optimized from above. To estimate the precision\n", + "# at each point the curve with the biggest difference does\n", + "# not have to be taken in to account\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rref, rtst = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rref, rtst, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " #n = len(dif[0])\n", + " #dd = np.zeros(n)\n", + " #for i in range(n):\n", + " # # determine second biggest absolute value\n", + " # dd[i] = sorted([abs(dif[j][i]) for j in range(3)])[1]\n", + " #plt.plot(t0, dd, '.')\n", + " plt.xscale('log')\n", + " # plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-0.005,0.005])\n", + " plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2018-11-15.ipynb b/calib_cernox_2018-11-15.ipynb new file mode 100644 index 0000000..8b23660 --- /dev/null +++ b/calib_cernox_2018-11-15.ipynb @@ -0,0 +1,450 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c5.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c4.dat')\n", + "{'selected': 1, 'averaged': 59}\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c1.dat')\n", + "{'selected': 1, 'averaged': 59}\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c2.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "calibration file has 199 points\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(5, 'X133273', 'CX-1030-CU-HT-0.3L'),\n", + " Sensor(4, 'X55918', 'CX-1050-SD-HT-1.4L'),\n", + " Sensor(1, 'X134003', 'CX-1050-SD'),\n", + " Sensor(2, 'X134014', 'CX-1050-SD'),\n", + " Sensor(6, 'X133980', 'CX-1050-SD'),\n", + " ],\n", + " t_points = (1.0, 1.2) + logrange(1.4, 310, n=195) + (330,),\n", + " caldate = '2018-11-15',\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = 'calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=1e-7)\n", + "print('calibration file has %d points' % len(run.t_points))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-15/X133273.340')\n", + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2018/X133273_for_He3/X133273.dat')\n", + "('z340', 'READ 2018-11-15/X133273.340')\n", + "('ls340', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2018/X133273_for_He3/X133273.340')\n", + "('z340', 'READ 2018-11-15/X55918.340')\n", + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2009/51750 Cernox HiT/X55918.dat')\n", + "('z340', 'READ 2018-11-15/X55918.340')\n", + "('ls340', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2009/51750 Cernox HiT/X55918.340')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlkAAAF2CAYAAABd6o05AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133273', 'lsdat'), ('X133273', 'ls340'), ('X55918', 'lsdat'), ('X55918', 'ls340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve(sensno, 'z340')\n", + " r1, t1 = read_curve(sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[2:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-15/X133273.340')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-15/X55918.340')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-15/X134003.340')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-15/X134014.340')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQC8i4uIU6EVEXNz/A/JVwSY5U1N1AAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-15/X133980.340')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p0_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p1_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-15_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n9CIiDu7/AadMBXJ4JrDnAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2018/X133273_for_He3/X133273.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "{'selected': 0, 'averaged': 30}\n", + "{'selected': 0, 'averaged': 20}\n", + "{'selected': 0, 'averaged': 15}\n", + "{'selected': 0, 'averaged': 10}\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlkAAAF2CAYAAABd6o05AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2009/51750 Cernox HiT/X55918.dat')\n", + "{'selected': 1, 'averaged': 59}\n", + "{'selected': 0, 'averaged': 30}\n", + "{'selected': 0, 'averaged': 20}\n", + "{'selected': 0, 'averaged': 15}\n", + "{'selected': 0, 'averaged': 10}\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlkAAAF2CAYAAABd6o05AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare with less points\n", + "sensors = ('X133273', 'X55918')\n", + "steps = (1,2,3,4,6)\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "kind = 'lsdat'\n", + "for sensno in sensors:\n", + " sensor = run.sensdict[sensno]\n", + " r1, t1 = read_curve(sensno, kind)\n", + " plt.figure(figsize=(10, 6))\n", + " for step in steps:\n", + " meas0 = sensor.meas.reduced(step)\n", + " rc, tc = sensor.make_calib(run, meas0)\n", + " diff = compare_calib(r1, t1, rc, tc)\n", + " plt.plot(tc, diff, '-')\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend([str(step) for step in steps] + [\"window\"])\n", + " plt.xscale('log')\n", + " plt.yscale('symlog',linthreshy=dmax)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([1.0,350,-1,1])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2018-11-20.ipynb b/calib_cernox_2018-11-20.ipynb new file mode 100644 index 0000000..2588359 --- /dev/null +++ b/calib_cernox_2018-11-20.ipynb @@ -0,0 +1,377 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c2.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c5.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "calibration file has 199 points\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X133982', 'CX-1050-SD'),\n", + " Sensor(2, 'X137461', 'CX-1030-SD'),\n", + " Sensor(4, 'X133928', 'CX-1050-SD'),\n", + " Sensor(5, 'X131824', 'CX-1050-CU'),\n", + " Sensor(6, 'X132254', 'CX-1050-SD'),\n", + " ],\n", + " t_points = (1.0, 1.2) + logrange(1.4, 310, n=195) + (330,),\n", + " caldate = '2018-11-20',\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = 'calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=1e-7)\n", + "# smoothtst depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "print('calibration file has %d points' % len(run.t_points))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-10-25/X133928.340')\n", + "('z340', 'READ 2018-11-20/X133928.340')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlkAAAF2CAYAAABd6o05AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nweP4W+Q45wAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133928', 'z340'),)\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2018-10-25/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2018-11-20/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-20/X133982.340')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c1.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSx98yjmnAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-20/X137461.340')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c2.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-20/X133928.340')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c4.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nF/f/g71GnsalkY4AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-20/X131824.340')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c5.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nLk6JXkTExf0/c+egvzmGlL0AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-20/X132254.340')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p0_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p1_c6.dat')\n", + "('zdat', 'READ calib_data/calib2018-11-20_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEHCAYAAACgHI2PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4lFX+BfDzTQNCSEIKLZFEkbLSBpCAlQAKKLgg2LCC\nq9jFRVewrLIqShGQBQv+RHRRRFFRWGm6EDSwdOktSw8QWigJCWlzfn9MVAjpPcP5PE8ecu97596b\n4c3JnXfuzBhJiIiI+/Ko6AmIiEjZUtCLiLg5Bb2IiJtT0IuIuDkFvYiIm1PQi4i4OQW9iIibU9CL\niLg5r/IczMx8AbwHIA3AEpLTy3N8EZGLUXmv6PsCmEnyEQB/LuexRUQuSiUKejObYmaHzWxDjvoe\nZrbNzHaY2dBzDoUD2J/9fVZJxhYRkcIp6Yp+KoDu51aYmQeASdn1zQH0N7Nm2Yf3wxX2AGAlHFtE\nRAqhREFPMhbAiRzVUQDiSO4lmQFgBoDe2cdmAbjNzN4FMKckY4uISOGUxZOxYfjj8gwAxMMV/iCZ\nAuDBgjowM72lpohIEZHM9UpJpd1eSbLSfr366quVuu+i9lGU9oVpW1CbvI4Xtb6yfJX1/HRO6Jwo\nTP/5KYugPwCg4Tnl8Ow6txEdHV2p+y5qH0VpX5i2BbXJ63hZ3q9lqaznrXOi6qls54QV9JegwA7M\nIgHMIdkyu+wJYDuArgAOAVgJoD/JrUXokyWdl7iP4cOHY/jw4RU9DalEdE5cyMzAsrh0Y2bTASwD\n0MTM9pnZQJJZAJ4CsBDAZgAzihLyIjlV1VWdlB2dE0VT4hV9WdCKXkSkaMpsRS8iIpWfgl5ExM0p\n6EVE3JyCXkTEzSnoRUTcnIJeRMTNKehFRNycgl5ExM0p6EVE3JyCXkTEzSnoRUTcnIJeRMTNKehF\nRNycgl5ExM0p6EVE3JyCXkTEzZVr0JvZpWb2kZl9VZ7jiohczMo16EnuJvlQeY4pInKxK1bQm9kU\nMztsZhty1Pcws21mtsPMhpbOFEVEpCSKu6KfCqD7uRVm5gFgUnZ9cwD9zaxZ9rH7zGycmdX/rXkx\nxxURkSIqVtCTjAVwIkd1FIA4kntJZgCYAaB3dvtpJIcASDOz9wE4tOIXESkfXqXYVxiA/eeU4+EK\n/9+RTATwWGE6czgccDgciIyMRGBgIBwOB6KjowEAMTExAKCyyiqrfNGWf/t++fLlSEhIQH6MZL4N\n8ryhWQSAOSRbZZf7AehOclB2+V4AUSSfLkbfLO68REQuRmYGkrleFi/NXTcHADQ8pxyeXSciIhWo\nJEFvOP9J1VUALjezCDPzAXAXgNklmZyIiJRccbdXTgewDEATM9tnZgNJZgF4CsBCAJsBzCC5tfSm\nKiIixVHsa/RlSdfoRUSKpryu0YuISCWkoBcRcXMKehERN6egFxFxcwp6ERE3p6AXEXFzCnoRETen\noBcRcXMKehERN6egFxFxcwp6ERE3p6AXEXFzCnoRETenoBcRcXMKehERN6egFxFxc17lOZiZ9QbQ\nE0AtAB+T/LE8xxcRuRhVyCdMmVkggDEkH87juD5hSkSkCEr9E6bMbIqZHTazDTnqe5jZNjPbYWZD\n8+niZQDvFmdsEREpmuJeo58KoPu5FWbmAWBSdn1zAP3NrFn2sfvMbJyZNTCzkQDmklxXgnmLiEgh\nFSvoScYCOJGjOgpAHMm9JDMAzADQO7v9NJJDAPQD0BXAbWY2qPjTFhGRwirNJ2PDAOw/pxwPV/j/\njuREABNLcUwRESlAue66KQqHwwGHw4HIyEgEBgbC4XAgOjoaABATEwMAKqusssoXbfm375cvX46E\nhATkp9i7bswsAsAckq2yyx0BDCfZI7s8DABJjipG39p1IyJSBKW+6+a3frO/frMKwOVmFmFmPgDu\nAjC7BP2LiEgpKO72yukAlgFoYmb7zGwgySwATwFYCGAzgBkkt5beVEVEJDcFXQGpkBdMFUSXbkRE\nCm/TkU1oWbdlmVy6ERGRSmDNwTX5HlfQi4hUcWsOKehFRNyagl5ExI1lObOwPmF9vm0U9CIiVdj2\n49tRz69evm0U9CIiVdiag2vQrkG7fNso6EVEqrA1h9agXX0FvYiI21LQi4i4sSxnFtYlrEPb+m3z\nbaegFxGpouIS4xDqG4raNWrn205BLyJSRRXmiVhAQS8iUmUV5vo8oKAXEamyFPQiIm7MSSd+PfRr\ngU/EAgp6EZEqKe54HIJ9gxHsG1xgWwW9iEgVtPbQ2kKt5oFyDnoza2Zm75vZl2b2l/IcW0TEnRT2\n+jxQzkFPchvJx+D6PNlu5Tm2iIg7+TWhcNfngeJ/ZuwUMztsZhty1Pcws21mtsPMhuZx21sA/ABg\nRnHGFhER4OiZo6jvV79QbYu7op8KoPu5FWbmAWBSdn1zAP3NrFn2sfvMbJyZ1Sc5h+TNAAYUc2wR\nkYteUnoSalWrVai2XsUZgGSsmUXkqI4CEEdyLwCY2QwAvQFsIzkNwDQz62RmwwBUB7C4OGOLiAiQ\nlJaEWj5lGPR5CAOw/5xyPFzh/zuSSwAsKcUxRUQuSmW+oi8PDocDDocDkZGRCAwMhMPhQHR0NAAg\nJiYGAFRWWWWVL8pyelY6Mndl4q3X38KKFSuQkJCA/BjJfBvkeUPXpZs5JFtllzsCGE6yR3Z5GACS\nHFWMvlnceYmIuLtjKcfQZGITJA5N/L3OzEDScmtfku2Vlv31m1UALjezCDPzgWsL5ewS9C8iIrlI\nSiv8ZRug+NsrpwNYBqCJme0zs4EkswA8BWAhgM0AZpDcWpz+RUQkb0nphX8iFij+rpu786ifB2Be\ncfoUEZHCKZcVvYiIVJyk9CT4V/MvdHsFvYhIFVOUPfSAgl5EpMopyh56QEEvIlLlaEUvIuLmirrr\nRkEvIlLFaNeNiIib04peRMTN6clYERE3pydjRUTcnFb0IiJuTit6ERE3pxW9iIib04peRMTNaUUv\nkpICxMYC+pQycUMkkZyeDD8fv0LfRkFfxZ1IPYHRS0fjYNLBip5K5TFsGNCtG9irFzbMP4h33gHi\n4yt6UiKl40zGGVTzrAYvj8J/nIiCvgrbcHgD2k5uhy9XLoLjAwe+3/Z9RU+p4i1dCufXM/HJN8Mx\nc2dNJPW9D2tWE61aAW+8UdGTEym5or79AaCgr9L6fTIIR797HofGzEef1Dl4aM5D2Htyb0VPq0Jx\n8GCMuSMcw5fPw0O9NiOk/mp8dNVEbN0KTJsGTJpU0TMUKZmivv0BoKCvspbvX4XdRxPww6sDsWnM\nPMR81Brdav0VD895GHSXa9NHjwITJgADBgAZGQW3P3IE6du3YGpYBjI/WYBtz63HtL92RcqwZ+Gx\n/2fMnw+89RYwZ06Zz1ykzLjVin7XiV3uE1jnSM1IxcQVk3DlyJtQ/76hGDhkV7GeM3zpu3fRfNcD\n6DSiJ4JefBTr2RLJf78Gh5OP4qvNXxV4+/R04OOPgcWLi/FD5OCks+Sd5JSWBkRHAytWABs3AjNn\nFniTrJgYxFyShbBfp+HFoT5oUM8Lrz/xDX55vCdO3dwV+5P+jW+/Bf7yF2DLltKfclVBEot2L0Kv\nqffg8hHXI/zFG3Hls6/h6de3YulSwFkG/51SeoqzogfJSvcFgA3GNmDdMXV564xbOWbpGC7dt5Sp\nGamsytYdWscBg+pwaUQIM2FM9fHiuCtD+MTTZ4rUz9EzR+n1ciD/17YX+cQTZEYGOWsWT1arw2ef\nmcbG/2zM9Mz0PG+/ZQt56aXkDTeQl1zi6iIrq4BBN28mX3qJ7NuXfPRRcsoUMjGRH67+kAFvBfCr\nTV8V6Wco0N//Tv75z6TTSf7732SbNq7v83Hg/r4c1bs+g4PJpKTzj+256yaua+jDh0ddy6HvL2b4\nJU6uXVu6U64KDiUd4nUf3ES/Yc1Yq+tE9noyho+N+zdvGD2Evq/Uof9DfRneZjPHjydTUip6tuVn\n3aF1HB07mi/89ALjT8X/cSAtjfzlF3LBAnLv3pIPlJ5Ojh1Ldu9O3ncfi3MSzt42mzd/fvMF9a44\nzyNT8zpQFl8AegDYBmAHgKH5tKPT6eSeE3s4fcN0PvnDk2w7uS19R/jyqo+u4rMLnuU3W77htqPb\neDzlOLOcBaVUxXI6nfzilw/4RbtqPFi7LodFTOfJI2l0JiRwe6MgTr68Jf+7LP8QO9ebCyYzss8t\ndNaufV6iHXtxLNd4tmfn9ztz8urJud721CmySRPyww9d5RMnyNY3bGLvN9/hv7f/O7fJkyNHkiEh\n5AsvkDNmkBMmkP368WzN6vz6qgDO+/F9ho0N44erPyzS/ZKndevoDAnhm89tZOO732fYoIeZ0aQZ\n+dNP+d7sUEQI7x/wEJ97LpeDWVnMmPRPpgTU5JjeoWz0Zhv6O37i4MHk9OnkzJnk99+TsbGu38XK\n5MABVx78ljNnM84y7ngcT6SeyP+GGRmukBo7lvz4Yy7+9iPWfKUea/R8mWPGpl8Q5MkH93L2P+7l\nqC6+nNryCo4Oeo4/vrSYzszC/X4dP05u2FDg3+NKJSMrg6/FvMbQ0aEcPG8wn577NENHh/L7dV+S\nb71F1q9Ptm1Ldu1KBgW5AnrHjuINFh/vWrDceCP53XfkuHGu36tPPilSN5+t/4x3zrzzgvpKEfRw\nXSb6H4AIAN4A1gFolkfbXH/ApLQkLtq1iCN+HsGbP7+Zl//zcgaODKTXa16sM6YOr3j3Cnaa2on9\nvuzHR+c8ypf/8zJnLf2YKZPfJT//nFy/vkh3aGGkZ6bzwOkDdGaf3U6n65dy6lRy5Upy+6HdHP90\nFBMCvPhji368qmUSjxz54/YnDu/lllAvvnHdmEKP2fSNbvw46g7yscfOP+B0clPj3vz2T3cybGwY\nz6SfyXmYt95KPvLIH3X/WvcvBo+sw2q3P8Tgt+ryhx0//HEwM5N86CGyQwdyz54LVv3tRzbiwWf+\nQgYF8cSjA9j41SD+eujXfOd+Jv0MNx3exHWH1v1+n50nI4OZbdpxwpXjWf35Ruw06Q7WGxrNt7rc\nRN57b94dHz7MUzU8WLvpCu7alc8Edu2is3NnHmvVmJ2fC2fUa4+y723p7NuX7NXL9Ttdvz45Zkwh\nHuWUsWXLyJ5dU9mz1hI+cukCXnvJHAbccx+rvxrI+qMiWHNETXb5tAtXxK8g6fr/zcggnSmp5MSJ\nZHg46XAw5cHH+Z+27bivlge3hzbh6bcmkQcPum6wdSs5ejR53XWkvz95yy1MGfYcv3usC8deX52b\nAkMZXyOC8Z/m/Ud25UryqqtcNw8Pd3W1eXN53UtFc/YsuXo1OW8e+e2S7Yz6sANv/NeN3H9qv6tB\nVhbj3h/B3UEeTLjxanLjxt+q+d0XKXyv6Ts87hnCse0+L9oCf88eslEj1x+P7PN+3+FTXPPj5zwT\nVocn3hlZqG7OpJ9h6/db57qoqixB3xHAvHPKw/Ja1ecV9HlJz0znoaRD3Hh4I5ds/IGLPhnO2MG3\ncmN0c5729eJ3zT25qEMdnqwTwOMtL+eBd15n2qnECzvKzCT37SvUY9YV8SsY/Uk0vV/zZshbQQwa\nFcRr3+/JOv3eYN0bprPzwCkc2KkzV9f15K+B9djZdxGjo10r6Jw+Gj+I+2v4ct+mUwWOm5iSSJ8X\nazE5OJxct+6C4ykHErnPK5IvDuzIUbGjzjs2ciQZFUWeTckiP/2Upy8L4xE/DyZ1uprzhyxgo05L\nGTIqhLsSd5HJyeRtt5GdO3PNkiRefTXp7e16NPDGG+S6vTtZd0xd16OphATysceYWrsWx/QO5Ynj\nBy6Y17J9y3j3N3fT/y1/Np3YlI0mNGLE+AiO/+/48y4znX7hTf7XvzNDnu/I5xe8SJLcEh/PJg/X\nZlJIvTyXi/FT3uH8ZtXZPqoQy8msLPK995gVHMTxD7Vgt2ndmJyW/PvhjRvJa64h+/TJfsCUnk4m\nJpbbUv/oUfK5uw9was0nmOpbm2ltHdzqCGdciAeTa9bgf6+4jY/X/5bh/ocZ0GUy7bn69Oz1NC/x\n3sq/2jjuRxgX+PRi30tWsu5lh+nZ/zYGDW3P737a5boEcdddZO3apI8PGRbmuhT3ww8XnPf7Tu7j\nY3OeYO97/Bhf3Y+L2t3HI7v/uJ9SU8khQ8i6dcmPPyazTiczc+ceTproZGio69FRruLiXIH31lvk\nzp1lch+mZ6bzs/Wfsc+MPgwbG8a6b17K0L9dzajoPvy7I5ozmoVzYaQX59dpzq0d72fG4GfJgQNd\nJ3j79tz42XiGjg7lsn3L+MsvroV4u3auB7TbvljLY8GNOa3ag4xdWIjLrnFxZEQEOWECnU7yg8lZ\nrHPTB8TzwfR+vD2ve+Jqxgd48O3bwvjhqsnnnYskXZeP1q5lxrq1vH/GXbznm3tyXSRVlqDvB+DD\nc8r3AvhnHm0LvvNI15/nlSvJd98lBwwgmzcnfX1dafbEE66HRAcPMiktid9u+ZbPzf0rh/+tPf/T\nvCYTq4PftfPjjO7hXNGuHhMaBjGjmjfPhgbRWaMG2b49OX/+BUPuTNzJO2feySYj6nH1o72Z1bYN\nnV5ezPD04TGvWkyo7c/jtWswpZond3doxoQpk7l5kzPXgP9NYkoipzp8uLD9oAJ/5PeXfcLuXa5m\nZtsr82yzYtJKHvEMYpdHA5iY4vqDNn06Wa8euX9rEtm7N5PbtmSfQf5cv3ouOX06nY0bc1vtjhzR\n/TouHHwL2aoVOWAAP3gnlXXrui7JnzlDrlnjWljX6PQumw69n19/Tf78s+sy+rdvbeOS5o2Z4OfJ\nFY88wE0bYzhl7RReP/V6Rr4TyXeWjef+BYu4pd/L3B5xA9fXv5Izm9fnKzfU5ZQ+f+PqyL7c5RnJ\nqwe344BZA867JHfPxLd5yLd6nsGw6o7r+Pb1HTh6dIF34R+2b6fzssv4bf82vHbKNTx19o8/tGlp\n5CP3neHUBi+6zoeAALJhQ9cdWcrXJpxOcvductYs8qUnTnB89WFMrlabpx97iuO+GsLgUcEcPG8w\nj5456rqOM3Ei2a0bnX61mFmvAdOaNmNiYHUe9/Xglh7tuHrWx/x2bQwHffkCa78VzMFzh+T+/FZy\ncqF+loOnD/KZT57g5y2rcUeADwfceC+7PbCadeqn897ep5n09gekw0FWr04GB5Pt23PNa/9mSAi5\naJHr0uXZjLM8fuYYj00czYzg2jz6YH+eeug+ZgUHM+3D93N/dEe6/rjOnUv+61+uhzgFzDc1I5Xv\nrXyPEeMj2HZCZ3Yb/DH71PsXvwy/hycCQnjskrpcc2tHxr76IFNnz+KWkd9zfOuP+Y9ao/n9zR9w\n5xcrmHTayQMHyBemzKP3i6EMjfqJX3zhGnr/qf18ZdErvOadVvy8lQc3hXjwtpdacsraKTybcfbC\nCa1c6fpjOnky09PJBwZmMGDgvfzT+Cu57uBGbtrkeoTdJmgndze4nLHt6vGu+2ty1Jg+3PbaYKZ2\n68asGr483SiSu+rXYHINL579/F+5/uz5Bb25jpc9M+sHoDvJQdnlewFEkXw6l7Zs3bo1HA4HIiMj\nERgYCIfDgejoaABAzOLFwIcfIvr774HGjRETHg40bYroe+8FWrRAzLJlAIAOHaLx88/Ae+/FIC4O\nSEyMRkoKcOZMDAJxGIPqbUbdgASs8TuFxHqZSO3gi3jvOMRvXo9uB+tj4tokHKx+KZ6t2Q+7ff3h\neeX/cKbuJ3gi9lJ0WheHa3v0xporH8Ezn5/B2bPA7GltEBmSjJjVqwF/f0R37+6ab0wMAPwx/1zK\n//zubXz03n/gv3sPYuO25tn+yrF/Rs/x8ejcsz2iJ0/Os7+tU5bh1plv4Ml+3XFg12DExwML3qmL\nK/5xJxY2qIuHLtuEkY+Nxd0t73bdPjMTbRJSseCZCfg1eA3adX0K887+A7FLDa+8EoOwsPP7f3bu\nC2jkNxiZ6+7Cjh0xqFkTaNIkGgEBwJbVT6LDgc8x9MhpbAmpjSXVIlE7rRZ6H9+D1HRPTKt7JZyt\n26BDiytR8+gerFj7EZJS18En0heTrnciukY3PHLlI+jSucvv4x09fQoZL9yOzvdPwPYOf7rg591z\nTy986f8i3v3hRezbV/D9/Xs5IQGLr78emwLT8fH9tfD13d9h/4b9wLZt6DRuHNahDR7OuB1/fycE\nvYM8gccfR8xllwFPP43orl0L/f+bs3zqFLB+fTQWLSZWr/kJftXO4PXQdei/dyK+bRWJBdcHYX7w\nWnRv1B29fHqhQa0GF/Z37bVAQgJiFiwAAgLg3zECY1e+gzXL1sDM0Lt7b/ylzV9wYOOBIs8vt/J1\n11+HtR+8jb0vvo7TnuloEJKFjvHAtPBa2HJVY1S/42pkOjOR9dnP6LxwB3wiffF0lDfi044jMA2Y\nsskTzY4SA7sEIyG0BrIaEuHxJ/HYlFNYfCkwvZ8PaEDWriwQRCcAk+YCS+GJzHp1cN9pwNfLFz/f\nfjvQtSuiu/xxfqSkp2Cr31a8/fNYRC4LwaUr/4S7Uz3RJWMBYhvUgU+X6xA9ZAjQrFmuP9+uXcCG\nDdGYNQs4ciQGPj7ANddEw3HrYny49nb4+vjCr4kfDiUfQjSj0fWyrniwz0AsuHsqvL4biqVXB2JO\nnxr4Z5/J8NznCaSmInrjRuDttxHz5JPIuuZ6TP7oavwSeg8a+O7BiBteR48bevw+/u7dwC8/dkTD\nb8Yj2OsL1PA4BO8wYH7TJMyukYHUs5ciKH0IRl3eEZfN6AF74AGgZ0/ExMRg+fLlSEhIwPr160HS\nkIvyDPqOAIaT7JFdHgbXX6BRubRlnvNyOsEnnsTZZWuwcPBcxKcG48gR4PBhnPfvkSNAairQrh3Q\nrx/QoQPQqBHg6wvUqOHqKj4e2LcP2L0b2LMHOHAASEwEnN5JSKkTg9Sgubhp/QI88p+9OB5QDSkB\nIWi26yRW+XfDi5mvYZPzClxxBXD//a4te97exb9/dp/YjXk3/gk3RD6OJl+Py7VNYmoiGoyIxLGJ\nvvBb/QvQuHG+ff5v3GfwGz4ACZHt0KLpZfCK+Qkpr72C6zymosflN2FE1xEX3GbX3gz86aN68J6y\nHk89EI7nnwdq1z6/TVpmGkLHhGLPM3sQVCMoz/GP/u8U9s5ciTNrtiLDPwTV27dAuwdaoobvhefi\n2cyz2H1iN2pVq4Vw//Bc+xt6U3P0TAjB9b8uOa8+JfkEGBSErq0OYvnq+vneJ7lKSgJvvx3Hd23C\nP5ueRN8zEWi+4RCy/vkOPO7oj6GvJGPuj8n412eZiPDLQN17H4GFhACffuo6oYpg/8mDeOT9T7Fw\nz7/hWW8LsngSD633xN9jnFjb0AtjbgpAjVZtER0RjXta3YOGAQ2L/vOUtfR0YNUqpB7ch32N62CP\nXyb2n96P5PRkeJgHgmsEo56HP1pOnoXAT2dhZ2oYGnIftnR4EPOjR2LpmupYtcr10ginEwhMP4J5\n6I4jNRtievNXEeaXhFv2fogmh37B0v4jsKtLSxz0/RHLj85FtaXLMXaxD+qmeWFPj6uwP9gbuw7v\nRMbO7Wi3JwjtDyQjzb8+PK6/FsG3XAPr0R0Iz/18Kiwnnfj10K8wM7Su2xqeHp6/HyOBgV33YuiB\np3H5of/gl3AnQn0C0HxfGjw6dwZGj0ZWZCPcPzANC2vfjg5RwDd3zkQ1r2q5jpWU5MqjlBSgYUOg\nTh2ClgkvD2+sWeN6d49bkj7HUxFz4PHVjPNua2aVIug9AWwH0BXAIQArAfQnuTWXthcE/bFjwKIf\ns9Dg1YfhszcOD4T8gGZR/qhXD6hTB6hb98J/AwIAy/XHLqLMTGDVKtcLeK6+GggJKYVOL3Tj0Bvw\n9YTlCDiwFwgOvuD4eys+xFd/n4GF+4/BZ+uGQvW5ZnsMpr18C3q06IPq10bjmbiJuLbhtZh400RY\nHnfO/bPuR/sGUXiqw5O5Hl+yZwme/+l5rHhoReF/uFIwdsKbuP2lN3DJ6TMwjz/mvvzrCfB98iXM\nfSYZw4YVs3OnE/jxR5z8ZDIWB53C6Ib7sS5zPzKyMlxvHpVWC8lJnqgVfAa+Tiemz/dFi0Rv+M6e\nhxqNmoIEtm8HFi0CqlVzLSquvhrw8XF1v2j3IrwybzyWH4xF6JHbMfbufui1ezdqjRwPCwtzvZKr\nQ4eS30mVTUoK0leuw8ydbbExrjq8vV2Lr44dXb+jZq4F2bF9KfCYOAEhn41HcmA4djTuiXkthyL+\npB8OHAA2bADOngWatU5CQOv/4NLU2YjauBp+R4Czp4JRPbwjGveOQotHroFXgzrl+iMmJABt2gBf\nv3cE7TJ+wmc7Z2FC0o+4pevj6BTRGSMnJGJV9TfRvV1TfHH7Z/Dx9Cn2WGfPAqOumY07Tv0f/vS/\n81/5l1/Ql9s1+uzg7gFX2McBGJZPO6alkYsXu3b0tWtHBvplcHGDu7mvcRduW5NcpbZwFdZXaxbw\n/64IYurfXs71eIux13NKo97kq68Wqd8NCRvYa3ovtvmgDadvmF7gdtRvt3zLrp92zfP46NjRHDxv\ncJHmUBqOJR/jAT9j7Jfn7576ZlA0J1/SvlS2OZ/L6XSed+34q69cu+GGjojn/62Yyv/r35RHa3rw\n//oPoKP1WYaFuZ7PGzjQ9TSRvz/Z/pa1DBvajdX+1oi1u0zhx29uZdaLL7ueMOnc2fU8kDuezGXg\nyBHXNf8JE1y58OabrueWUyvBy2t++okMDSWXLnWV95zYw0GznmbwX7swcHAXfrVuTt7PQxTRopd+\n4sbQ6AvqURmejC3KFwDWquV6PvTFF8klP6Yxq09f8qab3PpVHFnOLLZ69FIm1fQnT54879jek3tZ\n46XaPB0Y5tqsXIZOpp5kzRE1mZaZluvx2766jZ9v+LxM55CX71uHc3Tn+8+r+651AF92vFIu4+/c\n6dqNU6MG2aAB2SFiGlfWr8W4UB8ue/YuHl4Vw8MnD3B+3Hz2/PRWNh0WyhEPP8m9/Ycwq2UrMjDQ\ntVGgsu4/lGKbP9+11b5vX9cf++Bg8plnSn+zVuzY5dzm3/6C+ioZ9MeOZc8+NZXs2ZPs3du1y8bN\nvTpzBj9U8CCZAAANVUlEQVRrGsTM114/r37w3CG85apeTGt94X9wWXB84OCyfctyPXbJuEsYdzyu\nXOaR08+vPsNZEUG//x3cdnQbdwd48IvXtpTrPE6fdr2A6exZ0pmVxeWfvsmfulzKPbU9mOYJnvT1\nZKa3F53BQa6N5cOHu3aNZGSU6zylfCUkkJ9+6nrUsWdP2Yyx+tNN3FXjTxfUV8mgJ+naz3fjjeSd\nd1a+lyuWkcysLLa+vwWTatVynTUkNx3eRP/XQ/ifkJ7kBx+Uyzye/OFJjo69cK/iwdMHWXtk7VJ7\nGFpU6QfjeaKa8R/jN5Ekh4y/hwk+NZl4vBJd/khPJ48dc+tHn1JxNv+wmwe9L7mgPr+gr7Rvaoak\nJOCmm4D69YHPPy/ZlpYqxNPDAz2vmYQPmmchYdA9OJh0EA/PfgRhS4bgutRYoH//cpnHdRHXIXZ/\n7AX1qw6uQlRYVJ5P5JY17/phOFE3FEtnvYFla0/Cb9Y32NXuDtQOqpj55Mrb2/Vk+m/bu0RKUY1Q\nP1TPOlOk21TeoO/WDWjaFJg6FfD0LLi9Gxk+sBO+rfcF0pYsxogHG8NzZ2t8smkZvO/rD/j7l8sc\nrm14LWL3xV7wzpQrD6xEVFhUucwhL4F9+6I75uLaT6/EvRu8ETX64Qqdj0h58q3jB19ncpFuU3mD\nvn17YPJkwKPyTrGseHsD8z75M4bUXYTHZ0Vi1uiZaNGhluu92ctJg1oNEFg9ENuObTuvfsWBFRUe\n9LXvfAB/jauJmVnX4RK/AHhe07FC5yNSnmqFVIMnsgr3GQ3Zym0ffVGYGel0ltIm+KorNRVIOZWB\n4PWLgBtvLPc/egO+G4D2DdrjiagnALhe1FRnTJ0CXyhVLr78EnjgAeC55/QZgXJRIYHTHgHwPbIX\n3qGBv9fnt4++8i6XL/KQB1yXeIPreQPdu1fII5teTXph9o7Zv5d/3vszWtZtWfEhDwB33gmsWwf8\n7W8VPRORcmUGnDE/JCcU/vJN5Q16qXA9Lu+B/+7/L06ePQkAmBc3Dz0a9ajgWZ2jWTPXy59FLjKp\nnn5IPaqgl1Lg5+OHTpGdMC9uHgBg/s75uKnxTRU8KxFJ86yJ1GOF33mjoJd89WnaB99t/w57Tu5B\nYmoi2tZvW9FTErnopXn74ewxreillNzS9BbM2T4H7T5sh1ub3QoP0ykjUtHSq/khPbHwQe9VhnMR\nN1CnZh3sGrwLJBFaM7SipyMiADKr1YSdLPylGwW9FKieX72KnoKInCOruh/spC7diIi4LaevH7JO\nKehFRNwWfWsiK0m7bkRE3JefH5CkFb2IiNvy8PcDUrSiFxFxW57+NeFxRtsrRUTclmegHyy1kl66\nMbNmZva+mX1pZn8pz7FFRNyFd6AfPNMq6aUbkttIPgbgLgDdynNsERF34VO7JnzSynBFb2ZTzOyw\nmW3IUd/DzLaZ2Q4zG5rP7W8B8AOAGUUdW0REgOohfvDJKNtLN1MBdD+3wsw8AEzKrm8OoL+ZNcs+\ndp+ZjTOz+gBAcg7JmwEMKMbYIiIXveohfqiWWYZvgUAy1swiclRHAYgjuRcAzGwGgN4AtpGcBmBa\ndn0nAH0BVAewuKhji4iI63NjPbLKf9dNGID955Tj4Qr/85BcAmBJKY0pInJR8g2tCY8ifEB4pd1e\n6XA44HA4EBkZicDAQDgcDkRHRwMAYmJiAEBllVVW+aIsMz0dGUhC7CvDsXLlciQkJCA/BX44uJk9\nDuBhAARwM8mE7Es3c0i2ym7TEcBwkj2yy8MAkOSofDvPe0xWxg8tFxGpFEhkePggOeEMatf1AVDC\nDwcn+R7JNiTbkvztz4Zlf/1mFYDLzSzCzHzg2j45O2dfIiJSCsyQYjWRfKRwT8gWZ3vldADLADQx\ns31mNpBkFoCnACwEsBnADJJbi9q3iIgUjusDwgsX9MXZdXN3HvXzAMwran8iIlJ0Z738kJxQuCdk\n9aZmIiJVkW9N7N2cVKimCnoRkSoos0FDJK7dW6i2CnoRkSrI09ECHls2Fqqtgl5EpAoKvr4Fgg9u\nQmF2oivoRUSqIP9rWqI5N2FvIa7eKOhFRKqixo0Rzn3YuDK1wKYKehGRqsjbG4nBjXFoUcEvWVLQ\ni4hUUWlNWuLs6k0FtlPQi4hUUb7tW6DG/wreeaOgFxGpooI7tUBE0iYkFfC6KQW9iEgV5eloidae\nm7CxgEW9gl5EpKpq2BABOImt/z2RbzMFvYhIVeXhgZMNmiPx5835Nyun6YiISBlgi5bgxvx33ijo\nRUSqsIBrWiBwf/4X6RX0IiJVmG9UC7TyzH9FX+BnxpYmM+sNoCeAWgA+JvljHu30mbEiIoVx5AiS\nwpvBP+NEnp8ZW65B//ugZoEAxpB8OI/jCnoRkUJKrlkHtVKOFv/DwXMysylmdtjMNuSo72Fm28xs\nh5kNLaCblwG8W9SxRUTkQimXtsj3eHGu0U8F0P3cCjPzADApu745gP5m1iz72H1mNs7M6meXRwKY\nS3JdMcYWEZEcfNqVctCTjAWQc3d+FIA4kntJZgCYAaB3dvtpJIeQPGRmTwHoCuA2MxtU1LFFRORC\ngde2zPe4VymNEwZg/znleLjC/zwkJwKYWEpjiogIALTIf0VfWkFf6hwOBxwOByIjIxEYGAiHw4Ho\n6GgAQExMDACorLLKKl+05d++X758ORIOHkR+Ctx1Y2aPA3gYAAHcTDLBzCIAzCHZKrtNRwDDSfbI\nLg8DQJKj8u087zG160ZEpAjMrHS3V5pZJFxB3zK77AlgO1zX3w8BWAmgP8mCP/ok9/4V9CIiRZBf\n0Bdne+V0AMsANDGzfWY2kGQWgKcALASwGcCM4oa8iIiUrgp5wVRBtKIXESmaUl3Ri4hI1aKgFxFx\ncwp6ERE3p6AXEXFzCnoRETenoBcRcXMKehERN6egFxFxcwp6ERE3p6AXEXFzCnoRETenoBcRcXMK\nehERN6egFxFxcwp6ERE3p6AXEXFzCnoRETdXrkFvZpea2Udm9lV5jisicjEr16AnuZvkQ+U5pojI\nxa44Hw4+xcwOm9mGHPU9zGybme0ws6GlN0URESmJ4qzopwLofm6FmXkAmJRd3xxAfzNrln3sPjMb\nZ2b1z71JMecrIiJFVOSgJxkL4ESO6igAcST3kswAMANA7+z200gOIXnIzILM7H0ADq36RUTKh1cp\n9RMGYP855Xi4wv88JBMBPFaYDh0OBxwOByIjIxEYGAiHw4Ho6GgAQExMDACorLLKKl+05d++X758\nORISEpAfI5lvg1xvZBYBYA7JVtnlfgC6kxyUXb4XQBTJp4vcuev2LM68REQuVmYGkrleFi/w0o2Z\nPW5mv5rZWjOrl0ezAwAanlMOz64TEZEKVtwVfSRcK/qW2WVPANsBdAVwCMBKAP1Jbi3WpLSiFxEp\nkhKt6HPpbDqAZQCamNk+MxtIMgvAUwAWAtgMYEZxQ15EREpXsVb0ZU0rehGRoinVFb2IiFQtCnoR\nETenoBcRcXMKehERN6egFxFxcwp6ERE3p6AXEXFzCnoRETenoBcRcXMKehERN6egFxFxcwp6ERE3\np6AXEXFzCnoRETenoBcRcXMKehERN+dVnoOZmS+A9wCkAVhCcnp5ji8icjEq7xV9XwAzST4C4M/l\nPLZUUTExMRU9BalkdE4UTYmC3symmNlhM9uQo76HmW0zsx1mNvScQ+EA9md/n1WSseXioV9qyUnn\nRNGUdEU/FUD3cyvMzAPApOz65gD6m1mz7MP74Qp7AMj1sw2rgrI8yUqj76L2UZT2hWlbUJu8jlfV\nX96ynrfOiaqnsp0TJQp6krEATuSojgIQR3IvyQwAMwD0zj42C8BtZvYugDklGbsiKehL1ka/1OXf\nv86J8lXZzgkjWaIBzSwCwBySrbLL/QB0Jzkou3wvgCiSTxehz5JNSkTkIkQy1ysl5brrprDymqyI\niBRdkS7dmNnjZvarma01s3p5NDsAoOE55fDsOhERqQClcekmEq5LNy2zy54AtgPoCuAQgJUA+pPc\nWqKBRESkWEq6vXI6gGUAmpjZPjMbSDILwFMAFgLYDGCGQl5EpOKUeEUvIiKVW6V8MjYnvXWC5GRm\nlwJ4CYA/yTsqej5S8cysN4CeAGoB+JjkjxU8pUqjSqzos7doniD5g5nNIHlXRc9JKgcz+0pBL+cy\ns0AAY0g+XNFzqSwq5N0r9dYJklMxzglxcyU4J14G8G75zLJqqKi3Kb4o3zpB8lXUc+L3ZuUzPakA\nRT4nzGwkgLkk15XnRCu7Cgn6i/WtEyRvRT0nzCzIzN4H4NBK3z0V45x4Cq5t3beZ2aBynWwlV5me\njA3DH5dnACAerv9UkEwB8GBFTEoqVH7nRCKAxypiUlKh8jsnJgKYWBGTquz0CVMiIm6uMgW93jpB\nctI5ITnpnCiGigx6w/lPpK0CcLmZRZiZD4C7AMyukJlJRdE5ITnpnCgFFbW9Um+dIOfROSE56Zwo\nPVXiBVMiIlJ8lekavYiIlAEFvYiIm1PQi4i4OQW9iIibU9CLiLg5Bb2IiJtT0IuIuDkFvYiIm1PQ\ni4i4uf8Hqay8UUb9ROEAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2021-04-26.ipynb b/calib_cernox_2021-04-26.ipynb new file mode 100644 index 0000000..50f59b8 --- /dev/null +++ b/calib_cernox_2021-04-26.ipynb @@ -0,0 +1,369 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run.\n", + "\n", + "See also http://samenv.psi.ch:8080/sample_environment/83" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 59}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c2.dat')\n", + "{'selected': 0, 'averaged': 58}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 57}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c5.dat')\n", + "{'selected': 0, 'averaged': 56}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 55}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X154359', 'CX-1050-CU-HT'),\n", + " Sensor(2, 'X148906', 'CX-1050-CU-HT'),\n", + " Sensor(4, 'X154360', 'CX-1050-CU-HT'),\n", + " Sensor(5, 'X148903', 'CX-1050-CU-HT'),\n", + " Sensor(6, 'X142474', 'CX-1050-CU-HT'),\n", + " ],\n", + " t_points = (1.0, 1.2) + logrange(1.4, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2021-04-26', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# compare known sensors\n", + "if False: # set to True when known sensors are measured\n", + " plt.figure(figsize=(10, 6))\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " testlist = [('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340')]\n", + " for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2018-11-22/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2018-11-20/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + " plt.xscale('log')\n", + " plt.yscale('symlog',linthreshy=dmax)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([1.0,350,-1,1])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-26/X154359.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-26/X148906.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-26/X154360.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-26/X148903.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-26/X142474.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-26_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAECCAYAAADkaECYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAIABJREFUeJzt3Xd4VGXax/HvPTPpkEJIKEnoEKq0UBTQqKCgKGIFdd1XUcS+umtf3XVXxV3bWrCgIlZYBEEQFBUIKE1Cr4EQCIQWQiC9THneP5LVECaQhBkygftzXbnCPOc857lnOJnfnDOniDEGpZRSqjJLXReglFLKN2lAKKWUcksDQimllFsaEEoppdzSgFBKKeWWBoRSSim3NCCUUkq5pQGhlFLKLVtdF/A/IhICvAOUAknGmC/quCSllDqneXULQkQmiUimiGyq1D5URFJEJFVEnihvvhaYboy5C7jam3UppZQ6NW/vYpoMDK3YICJWYAIwDOgMjBaRzkAssLd8NqeX61JKKXUKXg0IY8wSILtSc18g1RiTZowpBaYCI4AMykLC63UppZQ6tbr4DiKG37cUoCwY+gFvAm+LyJXAnKo6i8hY4FEg3N/fv3GrVq28WKpSSp19tm/fnmWMiTrVfD7zJbUxpgC4vRrzTQQmAiQkJJjk5GRvl6aUUmcVEUmvznx1sStnHxBX4XFseZtSSikfUhcBsQpoLyKtRcQfGAXMroM6lFJKnYS3D3OdAiwH4kUkQ0TGGGMcwP3AfGArMM0Ys9mbdSillKo5r34HYYwZXUX7PGCeN8dWSil1evRwUqWUUm5pQCillHJLA0IppZRbGhBKKaXc0oBQSinllgaEUkoptzQglFJKuaUBoZRSyi0NCKWUUm5pQCillHJLA0IppZRbGhBKKaXc0oBQSinllgaEUkoptzQglFJKuaUBoZRSyi2fCggRaSMiH4nI9LquRSmlznUeCwgRmSQimSKyqVL7UBFJEZFUEXniZMswxqQZY8Z4qiallFK158lbjk4G3gY+/V+DiFiBCcAQIANYJSKzASswvlL/O4wxmR6sRyml1GnwWEAYY5aISKtKzX2BVGNMGoCITAVGGGPGA8M9NbZSSinP8+QWhDsxwN4KjzOAflXNLCKRwAtATxF5sjxIKs8zFngUCA8PDycpKcmzFSullAK8HxA1Yow5Aow7xTwTgYkACQkJJjEx8QxUppRS5x5vH8W0D4ir8Di2vE0ppZSP83ZArALai0hrEfEHRgGzvTymUkopD/DkYa5TgOVAvIhkiMgYY4wDuB+YD2wFphljNntqTKWUUt7jyaOYRlfRPg+Y56lxlFJKnRk+dSa1Ukop36EBoZRSyi0NCKWUUm5pQCillHJLA0IppZRbGhBKKaXc0oBQSinllgaEUkoptzQglFJKuaUBoZRSyi0NCKWUUm5pQCillHJLA0IppZRbGhBKKaXc0oBQSinllgaEUkoptzQglFJKueWxO8p5gohcA1wJhAIfGWN+qOOSlFLq7LLoxWrP6sl7Uk8SkUwR2VSpfaiIpIhIqog8cbJlGGNmGWPuAsYBN3mqNqWUUsCRnfDza9We3ZNbEJOBt4FP/9cgIlZgAjAEyABWichswAqMr9T/DmNMZvm//1reTymllKf8+CxY/as9u8cCwhizRERaVWruC6QaY9IARGQqMMIYMx4YXnkZIiLAS8B3xpg17sYRkbHAo0B4eHg4SUlJnnoKSil11go/uoEe274lrfUfqO7nb29/BxED7K3wOAPod5L5HwAGA2Ei0s4Y817lGYwxE4GJAAkJCSYxMdFz1Sql1NnI5YT3n4awFrS5+RX4P98IiBoxxrwJvFnXdSil1Fll7WdwaBPcMBn8AqvdzduHue4D4io8ji1vU0opdSYU58CCf0KL86HzNTXq6u0tiFVAexFpTVkwjAJu9vKYSiml/mfjV1CYBZdNA5EadfXkYa5TgOVAvIhkiMgYY4wDuB+YD2wFphljNntqTKWUUqew+xdo2BxietW4qyePYhpdRfs8YJ6nxlFKKVVNxkD6Mmh9YY23HkAvtaGUUmevIzsh/xC0HFCr7hoQSil1tkr/pex3q4G16q4BoZRSZ6v0ZRASDZHtatVdA0Ippc5G+ZmQlgQtL6jV9w+gAaGUUmefQ1vgg0uhJA/6jq31YjQglFLqbJL6E0y6HJylcPs8aFW7L6hBA0Ippc4e6/8LX9wI4S3hroXQvOdpLc6nrsWklFKqllZ9CHP/XHbOw6gvIaDhaS9StyCUUqq+++X1snDoMAxu/soj4QC6BaGUUvXbkldg4T+h6/Uw8j2w+nls0RoQSilVX618vywczrsJrnkXLFaPLl53MSmlVH209gv47jHoOBxGvOPxcAANCKWUqn+2zoHZ90Obi+H6SWD1zs4gDQillKpPDqyHGXdBTG8Y9QXYArw2lAaEUkrVF3mHYMpoCI4sO5TVP8Srw+mX1EopVR/Yi+G/t0DRUbhjPjSI9vqQPhUQItIJeAhoDCwwxrxbxyUppZRvmPsIZKyCGz+DZuedkSE9ecvRSSKSKSKbKrUPFZEUEUkVkSdOtgxjzFZjzDjgRqD2FxBRSqmzyfqpsO4LuOhx6Hz1GRvWk99BTAaGVmwQESswARgGdAZGi0hnEekmIt9W+oku73M1MBe9TalSSkH2Lvj2kbK7wl30+Bkd2pP3pF4iIq0qNfcFUo0xaQAiMhUYYYwZDwyvYjmzgdkiMhf40lP1KaVUvbT6Y3CWwLUTvXKuw8l4+zuIGGBvhccZQL+qZhaRROBaIIAqtiBEZCzwKBAeHh5OUlKSp2pVSinfYlz0T/6SgvDubFybCqSe0eF96ktqY0wSkHSKeSYCEwESEhJMYmKi1+tSSqk6sWcFLD5M4BUvkNg98YwP7+3zIPYBcRUex5a3KaWUOpWN08EWCB2vqJPhvR0Qq4D2ItJaRPyBUcBsL4+plFL1n8sJW2ZBh6Eeu3x3TXnyMNcpwHIgXkQyRGSMMcYB3A/MB7YC04wxmz01plJKnbX2rYaCw9DpqjorwZNHMY2uon0eesiqUkrVTMp3YLFBu8F1VoJei0kppXzR9u+hxfkQFF5nJWhAKKWUrzmaDplbIH5YnZahAaGUUr5m+/dlvzsMPfl8XqYBoZRSvmbzLIjqCJFt67QMDQillPIlORmwZxl0vb6uK9GAUEopn7Lp67LfXa+t2zrQgFBKKd+yaTo071Xnu5dAA0IppXzH4e1l95zuVve7l0ADQimlfMfaT8tOjut2Q11XAvjY1VyVUqf2ffJ/KcZJz3aDaBked+oOqn5wlMK6KWXnPpyB+01XhwaEUvXI6q0LeXTz8wD4b3yR+dcuoHFYkzquSnnE9u+gMAt6/bGuK/mN7mJSqh6ZvvINLMZwXUkMpRZhweqv6rok5SnJH0NoLLS9pK4r+Y0GhFL1hNNRSrIjlS4l/tx+xX8QY1ifsaSuy1KecGgLpC2ChNvP+G1FT0Z3MfmQQnsh6w+vJ6eomP7NexMeFFrXJSkfMm/xOxz0szAs7GJaxnakpd2w2+yq67KUJ6yYAH7BkHBHXVdyHA0IH/LU4mdZsG8+AO2t/fj61g/ruCLlS37aOYMgP8PNg58AoKUrgmS/Y7hcTiw+9KmzXivMhq1zyu7BENzozIyZnwkbpkGv287cmNWku5h8REZeBosy5nNtXj6X5ReQbl/Jxv2Znhvg0BY2L/+c2Yu+9Nwy1RnjcpSy0ZpNJ3soTSOiAGjdoDMFViE5ZWG1lvHaghcZOXkg9356Malp1etzTln1EY7XOvPrj4+y970rKCk4dmbGXfoGuBzQ/94zM14NaED4iDcWj8eC4aLAS7g+dhilFnj9uzc9suzi3Ut5bPpwbkl5ib+nv8jTU9/B6TIeWXZ95Tq4ibVfXM3Gjy6idOlbdV3OKS1PnsZhm4WO4X1/a+vZruxS0Mu2zDll/9TDqXy290tKHFmscWby2MKHcBSdoTfA+qDoGDt/epYbopowplkTxobmMGPCFRzOLfLuuMf2wq8fQI+bfeLM6co0IHxAdnE2C7KWMDS/hD7X/5v+g/9BS7uDQ/bvSc3MO+3lz/jlRb5rEELzwi40c7hYUPgef5ubdPqF11dOBy99+0duc+ziZls2d2x6C/vG6XVd1Ukt3lZ2fZ6hfcb81jagx5WEOV1sP7rxlP3/Me8hbMbwlxZ/5nxzFTv84OMZt1Zr7K2Hd3PbN4+z/Uha7YqvBwp/ncTDjRuy29+fMZ3vxR4QwSvRubw56S8Uljq8N3DSS2W/L3rCe2OcBg0IH/DlsrexC3QPHkrD8EgkJJIrG3RkT1AJ3/y6+LSWbXL2M7MwlcYlgUy44SPe7XQnVhz8vO85DuV4+dORj9qw+J9MtZUwonFP/tLrT6wPDOD9pMchK7WuS6vS1pJUYkot9Gzd7be2gAB/Yuw2DpqjJ+27LG0la9nDiMIgLhlyJ09e/3daFYbyoX0XuRm/nrTvjqx9/GHObaw9No+b5txI0t6z8Kgpp4Mf1nzALn8/xnZ9kj/1uYcZN8wj0lhZ2jCJP3/+LQ6ny/Pj7lkJ676AvneBj57wqAFRhWK7k6z8EpxOFy7jhZWjgu93z6FTsZ3BV//tt7bLE8YBsCNt6mkte/2yl0kJ8KeRGUzrqAa0OP9P3OtoSHbQEf46/5PTWnZ95Co6yj92TiMSG0u2jOKVGbG0lAQ+aBjExm/vAeN7u96OHtrO5gAX7aytTpgWRTgHrA7MSeqe+2vZwQ7XJDwBIkSHBjKg5SMUWix8tXh8lf1cLhe3fTMGkWxeO3SYtqV5/GXBg2QVZZ32c/IlJVvm8EkDF2HOMO5OuAaAsMBw3hzwPLkWIaPkeZ79Zv1JX+Oays7JpeTre3GFxkCib249gB7FdBxjDPM3H+T9eUsJc35NUeh29gaVUGCBECy0sYWT0LgT1/S+n1ZRXT0y5rr0ZaRbi7mppA2NGzf+rb11myFELTEUWLayK6uA1o1DavOEmLLnRwL9hZE9bi9rs1gYdckLzFx4HxvsH7Iz63raVhjXk7ILMlm+ZxH7c3fjKC2kTUAEXQMiaW5sCEBAA2gcX7bv9QwdhbNyxeuk+NuIybwQpzWESzuGMmvDcJq238SL9nS+WDcFS8+bz0gt1TV70cvYRejd5poTpkUFxJIv2ezL3EFskw5u+6fkb6Kdy0GXhBG/tY29cDgLvnyR70q3ckfhUSQ44oR+UzcsIN+2jyePFjPkui9hzr95zD+Df/30OC9f9VGtnovDaWfu5s+ZvmsOG46l4mf1p01YGwbGDGRAzADOizoPP4tfrZZdW9+unEiqvz+3tb0bi/z+mblTh6t4NmU2T2evgPRneWLGCzw/sit+1tp9rjbGsHBbJq//tJ2rD73LWFsqt5U+TtjXqfzj6i5EhPh76il5jE8FhIgMBd4ArMCHxpiXztTYxhiembmegk2vUtQ8mVQ/G00chr6OBgSVQKnJ42DAAT5xHOGjeUvpb0J5sM/jdOty9WmN+/mSl/EzhksTHjmuXSwW+gbF8gt7+WHtDu4e0uO46TkZa5k87x5SXMfoHtKau//w3QnLLtm/hiR/Q3ReHCO6t/6t3dr2Uh5NimGsLZPHf3yK6aMn/t4pawdsmVV2THaz7mU3TS9/8y4qdbL1YC4BNgttoxoQ6FfhTd0YclNXcHD5l/hnLGRyw2K+bhiEETmhrgink84lpcSXltLQZbDbgskJj8c/ug/Nmg6iY0Q3/Kw2Av2sxEYEHT/O6TCGr9Pm0EBgf+FlzHuwD7ERwXRqFsorS6+iIOYrZi15hmubdil77lUodZZiEQs2yxn483E5WXxsGY38rIwecMsJk+MadYKjG1ibsshtQJQ4SthlzeMSezhi/f2Nt1GDAOL8LmaVZT4bVvyH7pc8d0LfWWteJxQnwy55GdpeQtdbuzP8i0F8w0r+b/9KujTvV73nUJKHa+tcFm/8lP+U7CbNz0qrUjt/LCyi1OLH+pKdfJS9jQ82fkCAJYAe4e3pHdaGrrZwmhTlEO0SwvwbIuEtoXkPaNwB3KxXtVJawILSnTSwhPDQ+TedMPnqK99j46eDmNpoN4Hpz3DLxEd56foetIlqUKNhDuQU8fTMTSzclsmd4asZa5vLrtajiW98DZOX7ebXXUeYPu4C4hoFe+Z5eYjPBISIWIEJwBAgA1glIrONMVu8PbbTZZjw4yZCUu9hbos8oiSIt3o9zKDOo7Fay16ijKOFLN9xiI4bv+NA3nTWhh7i1lVPMfCX8dwx4Hl6d720xuMePLKbJY4d9C7yp3/Cif0Hth7C3JTJpGz8AjO4O/K/PwpjeHnO3XwTXESI05/lzr0M2TyTNl1GHtd/+fqPKbRYiA67goaBFT6VidDvyte5Y9pIPgxfzszkdxkZ2RV+fgXSko5bRnpEHIXdrsOv472M/XIraVkFAAT6WejfJpJejUrplPkdHQ/NJs6xhzyLP7c1b85hWzAXOltwnmlLiGlCjgkmpTSPna7DHOIwKwIOsTTsCEj5ZrtrFxzcBQenEeTwI+BYZw5lD8XuiiC+SUMuio/iovZR9G4VQYCtLDDySvNYmfY9+7bOwrl/LQPy82kX1grrNROgaTcqO7p7MQusduKOxTHmml7ERpT9Md59UVv2Zo9kzsFl/Ds0gw5Trqfr0Feh9YXgKCHj4Fq+TZ3PL0e2sMuRRa6UAmAzghODP0IjIzQyFhobC5Fio1VgFF0bd6FT7AAaNO8BYXG1elNbvexTkgOFwX69CfQ78RNmx5YD4Oh/2XFondv+P26YR6lFiA/rccK0m/rdx/qV85m+/Wu6J/4NLL9/Mk49vIsUyx5GFgYS0a1sy6VZ40jCw/9MY8erPPXT/Uy7+WcCbIFux3U5XWxc+R2HV71LXul65jUMYEVQEBEmkD77O2HJa89uSkmwbGeEJYVm1gxWBQWwKjCQNUV5vHtk43EfLvyMIcrhJM7hoGWpP05nM0poRYe25zM8YRBREdEQGFbj13jzis9ZGuzPgIC++FvdfIK3WHns2hkUzBzJnMZpXJZ3J2smxHGgzQX0S7wSW1yfKsd0upxsy97Gf9etZea6HTgdwfytXxj/t/kdaHEBrW95k6dt/ozoEcPoiSt4cOpapt19fq23ULxBPLlf7XSIyPnA340xl5c/fhLAGDO+0nxjgUeB8PDw8MYzZ86s1XjGGNJyXGzJyMJ6eBPNQ+YxKbqErhLJLTGPEmKr+hOCw2VIyTrExqxJrArajxE4v7ARF8XcSXRYi2rXMH3rP/k56BDjLDfTqcUFJ0zPsx/jqf3PMDgrnC5t/0678LI3xgNpP/O6TKVNaXO6htzBLPsLDCi2MrLjf45bWb/b+iALAw0jA17mguYn/iEfSV/LrKL32BDox8PZx7ixyMKBuBGkR53P6pJtrMhbwnbXEQACXIbzjzbh8sDeuGwhFOUeJqZgM/1d67CJi03SnuSwQXwWuZlj5gjjosfRPrB9la+93QXFDkOBs5RSpyAlhTQ8mkRR4TJW+GWTFByEH3BxgZW2+S3ZkduJ/aYRBYFFBEXsIT94F/utWTgr/W32KHLw2uEsDsY/zJHo41/TTTv+xvv+2UQdGMdf+3XGUuG1crgM41cfJCv8bYKtOdyWm4MFWBgcxJaAAABaldrpUVxCpMOCYCi1GBzGn2Piz2GrjVyrIc9qyLG5KKiw0dPSbqdDqZN4E0Z8QGsaN+iKPTASpzXot59iSxCFJgA/CwTYyuoSRzELtzzFrNBS/hL1LHEhJ17hs8heyrMZD9O/OJrrOv3thOkztr/NYv9tPBd8DxHRXY6b5jKGlze/zNGQdN4IvY2iyH4V+r3BYv8dPCUjadry9w8v+/NdrFz/LgtjtzFcWnBZ3F8QEYwxZNgz2Fywgc3HfiXHlc0xq/ntTT7QFUgbLue8gIE0DvQjIlAI8RN++x9wFOGXs5uivCMcyHewNldIFTsHrP6U2orxsx0jxO8wQQH7yQ3IO+H/PdLhpJnTSYzTQqwJpIl/U6JDE7BGXXLS0Fi86UmmN8znoUZP0q5h8yrnc7mcJB14n2/sW2ngMtyUl8vlBYVE0JhjLa7iQPPLcImNg/aDbC/eTkpxCtuLUykxJx4I0tFuGN70Llo2+H0rdeUBB++uL+Gqtn5c1977u5ouvvji1caYhFPN50sBcT0w1BhzZ/njPwD9jDH3V9UnISHBJCcnV3sMYwwpO3eybcX3HNuzkFJbCnuCC1kVGMh+PxsJIS1455rpBNmCqr3MrbvX8PaPf2ap32FsBi4wcVze806GnHeV+08k5eYum8uzKY/T1x7Gu2OXVjnfyM/6E1pwlBbhH/HPUQPJyS/mzY/6MC0cpg6dQufoLvzx/etYF7idqV0epnP5YZDO7DQumTWchoVNmXLn/OO3ICq8Hne8Oomshl+xO3AfwbZgooOj2Zu3F6dx0jqsNSPbjWTl0o0UOBexLsTBwMIi/pN5mAADhMbi6nodpsctuCLbcO+Ce0k+mMxbl77FwJiB1X4NT5B3kPQdc/lk5yy+KdhNqUCo00mxWCi1lP2xdygp5fzCUiylXchvfjuxbduxJW8xP+z/mKZ2Bx9kZtNy7CKIKtvtYj+wgSvm3YTYQ7n//Jlc3f3EN4OCEgePzUoi6di/sAQeBCCiKJS2Es8FMUMY0LE/bVvEEOBf9v9qd7rIL3aQV+wgt9hOXrGDvPLfBwsy2Xl4NfuPrOKYYye5/tnk+ZUdLtnA5SLK4STEuAhxGYJdLhq6XDSy++FfEkGAxBIZ3JQc+zLejSilJbFMv31+lS/X1RO7EUYAn4098W/hug/7gSuX6XduQtx8z/PknOl8m/0cz9CUG//4IwAlJfkM/qI/bUutfDx2LWI5/hPtY9PWknPwbpaFFXGBf2OaRXXl58NryCzNRYyhS2kpzez+BEf0oEu3oXRv3ouOjToet3//VFwuQ1pWATsO5ZFf4sDfZqFHXDgtGgXjMA4yCw6x/9AGNu5Yxtr9O9lbmEWJLZ9C/2KybWWvsxjDEFcQjwx+nZgWJ66P+dkZXPf1EIJNBDPvWlatulKyU3hjzRv8su8XDAaLgTCXEz8sHLXZsBsnAA2tTcg92gpT1Ja7e/fgptJFHFs7mZWRsXzZKJJDxVk80/8Zrm3/+21FH5yylh+3HGLFk5cSFuzd72FERAMCAGM4mPwN21bPYE/+GtICClkVFMAev7L/gDBLAH0iu9K31RBGtB9JsF/t9gGu2DCfj5f9jV8D83GIYDPQyBWBzRKH1RJHA2szGgfG0NAWTm7WCjYzhVILTEqcROfWVe/Lfe+X55iwczoj0vvxp0cmMPvzl/jQfxpdG8Yz8YayY+MXpezgsWUjGWT347W71oAIv857kDGHF9HDfiOf3flMlcv/YmU6T8/cyFPXOzlk30BWURZtw9syMGYgPaN7Mnv9fh6auo6/X9WZoEbLeeHXl7goujevDfoXfuXXrHcZF0/98hRz0+by/IDnGdFuRJXj1dTR4qMs3rOIdRlLaOiC1gGNuCCyK+Fh8eQExRAdEfb7rjcg+eBqxs4fR4uSAt7PC6DJ2O+gYVOmfDqEF81Bmufczrz7H8ZqqfpT5er0bNKzc7BY7VzSoTWhbsK1JlwuQ+rhfL7dsoVFaUs5kp+MWHIRSzFWmx2rnwO7pZRjUnxC33bWWCaO/IyokKoPJBjzXn/22PL58c5Nx7XbXXbO/6QniSVhvDLO/YeQPUcKuGVGIi1MDl+MnA3RHfl09iO8fPRHxjW4gfuue/aEPpl5xQx9eR7Dm3zAj8F7MMAFRcUMKCzBWtAWv+5jGXrVaKxncFdJTqGdr1bv5ZfULDYdyCLfsZf4hnPZH55GkDH8o8c/SOx13XF9Xv/0ViaZ9fypxX2MuXhcjcbLLMxk+b4VfJ+ykd3pa2jn2k5rVy4R9iAKCtqTX9qcdlHBDGtylJC0H8BeUHYpjcteINcCjy1+jKX7l/LOpe8wKHYQAFv253LFmz/zxLCOjLvIuyfN1ceAqNYupopOGRD5h1ny3z8ywZn6226CIGz0iujCBW0G07d5fzpEdKjRJ5tTSUtbz08//4fDeb+Sbithn83GfpsNR6XN3BiHi9cGvkrn+KEnXV5GXgbDvh7GH444+PLoeP4Y8RiTIgOYesUUulQ4kurW965hU2Aqs3v9lRYdhnHvJ/1I9vPngS5f8Yd+8VUuv7DUQf8XFzCoQxQTbu513LRiu5OLXl5Ek9BAZt47AKtFmLptKi+sfIHzm53P+EHjCbIF8eTPT7Jw70Ie6PkAY88bW4tXzbOS9v7MAwvu5dKCYv6eC7aYLlxrT8FuD+e1K+bRs8WJR+ycSXani9wiOwZo3CDgt/YCewFpx9JIy0kjuzCLYL8gro2/4ZRH9Tz24Qi+t+1k5Y1LCKpwLZ+lWxcy7teHGGvtxwMnua7XVR8+yW6/b5lUFETCNR8zevaNZFkszLh5FWHB7r9j+OiXXfzz2y0MizpIK7+jrDkAeZHd+Pfo/nSNCavZC+Ile7MLmb10FrMOvcAxq3B77P3cO6QsCHLz87huan+CjT+z7lxz3IeMmiq2O/lpywEKVk+jS/aPdChah7+zsGxiw2bQ9lLocwfE9P69j6OYW+bdQmZhJl9d9RVNQ5oCcMuHK9iZWcDPj1/s1e8iqhsQPvMlNbAKaC8irYF9wCig1scbFm+dzVuLHuPzYBvBhDKm0x0MbnMhHRt19OrRJ23adGdsm4/Ljqc/uBH2rsRxeBsHjqWRXprDUauVhtGdSejzAA0i251yebENY+ndoAU/l+5kUcF9XBMexvnhnY4LB4CRfZ9l04bb+GjZeK7bPpefA/2IPNKHK7q0Ounyg/1t3NQnjklLd3Mgp4hmYb/vXvtseTqHckt4Y1TP3z5xj+o4Cj+LH+N/Hc9l0y/DRdl5Ik/0fYKbO/rG4aGJcYO457wHeXfjm6T4G4rtO8iy2hgW9VCdhwOAn9VCZIVg+J8QvxC6RXWjW9SJX7CfTLPQ9piiNDbsWEy/7r8fqLB827cAdG8z+KT9b+15Oy+vSeIxvxwGTR/O5oYNGMglVYYDwJiBrYmNCOK52ZvZ4mrDjZfFcceqkEW3AAAS00lEQVSA1gT5+85FA+MaBXPfVTdzybZYnlkyjvf3vc3m/6bz+JDH+efMOznoZ+GpJjecVjgABPpZGd49Fro/AjxS9rdvLyz7HeD+u8xAWyCvXvQqN317E+NXjueNS94Ayl7XOyYn89OWQwzr1uy06vIEn9mCABCRK4D/UHaY6yRjzAsnm9/tFkRJPuvm3sczR1ay29+PiPxufHjjG3SIivJa3d72dcpX/G3FP2hpCSLdVcTHl39MQtPjw9/lMlz9/kjSg3cS4nKBsXJtzGc8dnnVh2v+z97sQi59dTGXd23KW6N7ApBXbOfCfy+ia0wYn405cRfY9qPbmbljJv5WfwbGDKRP0z6eebIetGjPYv768z8RVyCj2v6Je/pfetJdS/XVnF9m8NTOv/NA2BDGXvPab+3jPhrCZtnHD6NWERRc9Xk0Tpdh9OSZbJfncFpchOT054vRr9E2qmG1xjfGnPabrLcd3bOap+beyi/BNmwucFjgsiI/XrnrV8Rad5+T313/Lu+se4cpV06ha+OuOF2GhOd/JDE+mtdvOvHIM0+pd7uYaqNyQBTtWsJbP9zP5wEuQp0B5GXeyhe33eEzm7y1VWgv5Jmlz1BgL6BDRAce7v2w2z/IRSn7eWTuW/g3WEJg4SC+u/d5gv2rt/K/8dMOXv9pO5P+L4GLOkTzwJQ1zNt4kG/uG0D3uHBPP6UzxmVcCOLzb2Cn49CxXK6ceQGXEsu/bv/+t/ZhH3Yn2gGfjFt/ymXkFNm5cuJkckqPMOXme+r934w7Jns3P8x5kAX5m+gb3IHrb5kB/rU4AdWDCuwFDJsxjI6NOjLxsrLzkR6Zto6F2zJJfnowNi/tZqqPu5hqz1HK6h/+wrP7f2BPoB/t7N3ZsOt6PrptwFmxogf7BfNq4qunnO/i+ObMa/osr/2wnasSm1c7HADuSWzLtxv2c/+Xa2kX3YANGTn89cpO9TocAI9+v+SrmoSHEmu3sJdDv7XlFmazz+akh6t61/gJC/Jj7tj/o9jupElo1buW6jNp1IrL/ziby/MOQoMmnjvZ7jSE+IUwptsYXkl+hc1Zm+nSuAuDOzXh6zX7WLPnGH1b1+39Ier9X0/hgfW89MkF3J65EKd/Awb4PcLa1Jt58ZreJMafeNz42a5ZWBAv39CdCzvUbJeav83CB7clcHX35hzMKeaBS9px56A2XqpSeVoTVwS7baUYV9l1w5Zs+AYjQttGvU7R83dhQX5nbTgcp2FTnwiH/7m2/bUEWAOYmVp2Tteg9o3xswo/bT10ip7eV68DoiBvP9fNG80XthJGN72AIc0m8f2GaB68pB039an+CWuqTKvGIbx03Xn8+vRg/nxZ1Uc+Kd/TNKgNeVYLezLKdrkm7/oJgN6dPXfIsfKOhv4NGdxyMPPS5lHsKKZhoB/920RqQJyu3aVHEVsgkwa9SvuoZ3lrwV6u7RXDw0PcX7RMqbNV2yb9AVi5rew7iHUFW+hY7KJbh94n66Z8xMh2I8mz57FgzwIALmwfRdrhAg7nldRpXfU6ICJtwUwf/TMlzl48MWMDA9pF8tK1553VX0gq5U5Cl2GIMWw7tJZ9mVvY6eegLW2x2XznsFNVtT5N+xDTIIY5O8vuDtirZdnh2Gv2nPxeH95WrwOiaVhr0o84Gff5atpFN+DdW3vjb6vXT0mpWomPiaOZHdKLM5i59G0AercbXcdVqeqyiIVLW1zKrwd/pdBeSNeYUPytFtaka0DUmt3p4vaPV9EgwMbHt/c57UsiKFVfWS1Cc0ckyX5FzDi6mLhSF5dfcN2pOyqfMTBmIHaXnVUHVxFgs9I1JlS3IE7H7qxC8kscfHx7n+POAFbqXDSg8xt0LAgmy2qhjSOO0CDfuwGNqlrvJr0JsgXx876fAejVIoL1GTmUOrx7R8uTqdcBUeJw8u6tvejULLSuS1Gqzt15UQ9u7DedTvsvIrHXv+q6HFVD/lZ/+jXtV3alWGPo3TKCUoeLzftz6qymen2iXIvIYAa1r7+X0FDK065LaMGInm967Qxc5V0DYwaSlJFEem46vVqWXcBvdfrROruGWL1ei/Q7B6VOpOFQf10QU3aTq5UHVtIkNJAmoQFs2Z9bZ/XomqSUUj4itkEskYGRrD9cdv2s+KahpBzKq7N6NCCUUspHiAjdo7qzIWsDAPFNGrAjMx+nq24uqqoBoZRSPuS8qPNIz03naPFROjRpSKnDRfqRgjqpRQNCKaV8SPeosnu4bDi8gfimZffk2H4ov05q0YBQSikf0qVxF6xiZf3h9bSLLrsj3fY6+h5CA0IppXxIkC2IDhEd2HB4A8H+Nlo0Cq6zL6o1IJRSysf874tqh8tBhyYN2X5QA0IppRRll90ochSxLXsb8U0bsCurgBKH84zX4VMBISKdROQ9EZkuIvfUdT1KKVUXEpqW3S46+WAyHZuG4nAZUupgK8IjASEik0QkU0Q2VWofKiIpIpIqIk+cajnGmK3GmHHAjcAAT9SmlFL1TeOgxrQKbUXyoWT6ld+XevnOI2e8Dk9tQUwGhlZsEBErMAEYBnQGRotI5/Jp3UTk20o/0eXTrgbmAvM8VJtSStU7vZv0Zs2hNUQ28KNddAOW1deAMMYsAbIrNfcFUo0xacaYUmAqMKJ8/o3GmOGVfjLLp802xgwDbvFEbUopVR8lNE0gz57H9qPbuaBtJKt2Z5/xS39782quMcDeCo8zgH4n6yAiicC1QABVbEGIyFjgUSA8PDycpKQkT9SqlFI+xe6wAzBl6RRCiy6ksNTJJ3MW0T7izN1GtloBISI/AU3dTHraGPONp4oxxiQBSaeYZyIwESAhIcEkJiZ6anillPIpX875krWOtXw8/EkmrF9IUWgLEhPbn7Hxq7WLyRgz2BjT1c3PycJhHxBX4XFseZtSSqlquKvbXezO3c2qw0l0bhbKwm2ZZ3R8bx7mugpoLyKtRcQfGAXM9uJ4Sil1VhnccjBtw9ry/vr3GdmzOev2HmPTvjN3hzlPHeY6BVgOxItIhoiMMcY4gPuB+cBWYJoxZrMnxlNKqXOBRSyMPW8sO3N2Eh69hSA/K5OX7T5j44sxdXOdcU9ISEgwycnJdV2GUkp5jcu4uGHODRTaC+khLzJjzUGWP3EJkQ0Car1MEVltjEk41Xw+dSa1Ukqp41nEwkO9HiIjP4Nmcespdbj4bEX6mRn7jIyilFKq1gbFDCKhSQLTd04isVMIk5ftpqDE4fVxNSCUUsrHiQhP9H2CnNIcwmMWcKzQzpcr93h9XA0IpZSqB+IbxTMqfhSL9s+mZ7sCJv6cRlGpd6/wqgGhlFL1xH097yM8IBwT+TWH84q8fkSTBoRSStUTof6hPNz7YXbmbqZb/A7eW7yTnCK718bTgFBKqXrk6rZX0z2qO0cCZpJbepR3k3Z6bSwNCKWUqkcsYuHv5/+dYmcBbTp+z6Rf0thzpNA7Y3llqUoppbymXUQ7Huj5AJmuZGxhaxn/3VavjKMBoZRS9dBtnW+jV3QvgprO5vtt21i8/bDHx9CAUEqpeshqsfL8gOexWg0RLWfy5NfrPX7ynAaEUkrVU3Ghcfwl4S/Y/VPIss7nlR9SPLp8DQillKrHbuhwA5e3upyA6Pl8tm4Ba/Yc9diyNSCUUqoeExGeu+A5Woa2IjhmCn+ZsYQSh2fOsNaAUEqpei7EL4Q3Ln4dPz8HBwI/5JX5WzyyXA0IpZQ6C7QNb8s/BzyHLXg3n+54g6SU0789qQaEUkqdJa5ocwW3db4d/4iV/Om7N8nMLT6t5flUQIjINSLygYj8V0Quq+t6lFKqvvlzwp/o3yQRR/hsxnz1CS5X7e8a6ql7Uk8SkUwR2VSpfaiIpIhIqog8carlGGNmGWPuAsYBN3miNqWUOpdYxMKbg/9N86B27LJM5D9LFtd+WR6qaTIwtGKDiFiBCcAwoDMwWkQ6l0/rJiLfVvqJrtD9r+V9lVJK1VCQLYjPh7+HIHy/9+taL8fmiWKMMUtEpFWl5r5AqjEmDUBEpgIjgC3GmI3A8MrLEREBXgK+M8ascTeWiIwFHgXCw8PDSUpK8sRTUEqps06gM4ZM+85av096JCCqEAPsrfA4A+h3ij4PAIOBMBFpZ4x5r/IMxpiJwESAhIQEk5iY6JlqlVLqLBN3aC7bCxcyYNAg/KzWGvevVkCIyE9AUzeTnjbGfFPjUatgjHkTeNNTy1NKqXNZh4gO7Cj+ntX7UunfIr7G/asVEMaYwTVeMuwD4io8ji1vU0opdQb0btaZuQdg+d5NtQoIbx7mugpoLyKtRcQfGAXM9uJ4SimlKriwZTeMETZlbatVf08d5joFWA7Ei0iGiIwxxjiA+4H5wFZgmjFmsyfGU0opdWpNQkOxOBqTnle725J66iim0VW0zwPmeWIMpZRSNdfQ0oJs++5a9fWpM6mVUkp5VvPgNtgli/zS/Br31YBQSqmz2HmNe4IYvtr6XY37akAopdRZ7A89LsZZ3IRPN3+GMTW7LpMGhFJKncVaNW5AC9tlZNl3sfrg6hr11YBQSqmz3N29b8A4g3gj+eMa9dOAUEqps9yVXVtiLejPuuxfOJB/oNr9NCCUUuos52+zcFXrGzAGPtrwebX7aUAopdQ5YEz/XjjyujBrZ/Uv/60BoZRS54DWjUOIDxpKiav650NoQCil1Dnizj6X4ixuXu35NSCUUuoccXmXZgQcdXtlJLc0IJRS6hzhb7Pw0KCLqj2/BoRSSp1D/m9A62rPqwGhlFLKLQ0IpZRSbmlAKKWUcsunAkJE2ojIRyIyva5rUUqpc52nbjk6SUQyRWRTpfahIpIiIqki8sSplmOMSTPGjPFETUoppU6Pp7YgJgNDKzaIiBWYAAwDOgOjRaRz+bRuIvJtpZ9oD9WilFLKAzx1T+olItKqUnNfINUYkwYgIlOBEcAWY8xGYLgnxlZKKeUdHgmIKsQAeys8zgD6nayDiEQCLwA9ReRJY8x4N/OMBR4FwsPDw0lKSvJcxUoppX5TrYAQkZ+Apm4mPW2M+cZTxRhjjgDjTjHPRGAiQEJCgklMTPTU8EoppSqoVkAYYwbXYtn7gLgKj2PL25RSStUD3jzMdRXQXkRai4g/MAqY7cXxlFJKeZCnDnOdAiwH4kUkQ0TGGGMcwP3AfGArMM0Ys9kT4ymllPI+Tx3F5Pb6scaYecA8T4yhlFLqzPKpM6mVUkr5Dg0IpZRSbmlAKKWUcksDQimllFsaEEoppdzSgFBKKeWWBoRSSim3NCCUUkq5pQGhlFLKLQ0IpZRSbmlAKKWUcksDQimllFsaEEoppdzSgFBKKeWWBoRSSim3NCCUUkq55ZEbBnmKiIQA7wClQJIx5os6Lkkppc5ZXt2CEJFJIpIpIpsqtQ8VkRQRSRWRJypMuhaYboy5C7jam7UppZQ6OW/vYpoMDK3YICJWYAIwDOgMjBaRzuWTY4G95f92erk2pZRSJ+HVgDDGLAGyKzX3BVKNMWnGmFJgKjCifFoGZSHh9dqUUkqdXF18BxHD71sJUBYK/cr//TXwtohcCcxx11lExgKPAuGAXUQ2eLHW0xUG5Pjw8mvTvyZ9qjPvyeapzbTGQFa1qqsbuk6cfN7Tma7rRPWX3bJavY0xtf4BfgI2ufkZUWGeVsCmCo+vBz6s8PgPwNu1HD/5dOr39g8w0ZeXX5v+NelTnXlPNk9tpuk6Ub/XidOZruuE55d9WlsQxpjBtei2D4ir8Di2vO1s5HYryIeWX5v+NelTnXlPNk9tp/kyXSe8N13XCQ8vW8pTxmtEpBXwrTGma/ljG7AduJSyYFgF3GyM2VyLZScbYxI8V62q73SdUJXpOlF73j7MdQqwHIgXkQwRGWOMcQD3A/OBrcC02oRDuYkeKlWdPXSdUJXpOlFLXt+CUEopVT/poaRKKaXc0oBQSinllgaEUkopt86qgBCREBH5REQ+EJFb6roeVfdEpI2IfCQi0+u6FuUbROSa8veI/4rIZXVdjy/z+YCo4QX/9GJ/54CarBOm7JIuY+qmUnWm1HCdmFX+HjEOuKku6q0vfD4gqNkF//Rif+eGydTsIpDq7DeZmq8Tfy2frqrg8wFhanbBP73Y3zmghuuEOgfUZJ2QMv8CvjPGrDnTtdYn9fVN1N0F/2Iou9jfdSLyLvX3tHtVO27XCRGJFJH3gJ4i8mTdlKbqSFXvEw8Ag4HrRWRcXRRWX/jUHeVOlzGmALi9rutQvsMYc4Syfc1KAWCMeRN4s67rqA/q6xbEuXTBP1U9uk6oynSdOE31NSBWAe1FpLWI+AOjgNl1XJOqW7pOqMp0nThNPh8QZ+CCf6qe0XVCVabrhHfoxfqUUkq55fNbEEoppeqGBoRSSim3NCCUUkq5pQGhlFLKLQ0IpZRSbmlAKKWUcksDQimllFsaEEoppdzSgFBKKeXW/wMxB5bXa1vP6QAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " # plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2021-04-30.ipynb b/calib_cernox_2021-04-30.ipynb new file mode 100644 index 0000000..eb96c9b --- /dev/null +++ b/calib_cernox_2021-04-30.ipynb @@ -0,0 +1,500 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run.\n", + "\n", + "See also http://samenv.psi.ch:8080/sample_environment/83" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c2.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c5.dat')\n", + "{'selected': 2, 'averaged': 60}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 62}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X154359', 'CX-1050-CU-HT'),\n", + " Sensor(2, 'X148906', 'CX-1050-CU-HT'),\n", + " Sensor(4, 'X154360', 'CX-1050-CU-HT'),\n", + " Sensor(5, 'X148903', 'CX-1050-CU-HT'),\n", + " Sensor(6, 'X142474', 'CX-1050-CU-HT'),\n", + " ],\n", + " t_points = (1.0, 1.2) + logrange(1.4, 310, n=194) + (330,), # the points to be used in the cal file\n", + " caldate = '2021-04-30', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# compare known sensors\n", + "if False: # set to True when known sensors are measured\n", + " plt.figure(figsize=(10, 6))\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " testlist = [('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340')]\n", + " for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2018-11-22/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2018-11-20/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + " plt.xscale('log')\n", + " plt.yscale('symlog',linthreshy=dmax)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([1.0,350,-1,1])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X154359.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X148906.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAECCAYAAADkaECYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAIABJREFUeJzt3Xl8VPW9//HXZ2ayLwQIa8IuIGGxYhSt1UYFxYq7vYL+rFWs1Vu329aqVW+rva2tvW2tlVZzlboUoYobUiwuGNGKiqKCrCJrEiBAyL7M9v39kVRDOEASJyaB9/PxmIee7znf7/kMHOY9Z5lzzDmHiIhIc76OLkBERDonBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHgKdHQB/2ZmKcCfgSBQ4Jyb1cEliYgc1tp1D8LMZppZiZl90qx9spmtNbP1ZnZrY/MFwFzn3PeAc9qzLhERObj2PsT0KDC5aYOZ+YEZwJlADjDNzHKAbGBr42KRdq5LREQOol0Dwjm3GCht1nwcsN45t8E5FwTmAOcChTSERLvXJSIiB9cR5yCy+GJPARqCYQJwP/CAmZ0FvLi/zmZ2NXAzkBEfH585ePDgdixVROTQs27dul3OuV4HW67TnKR2zlUDV7RguXwgHyA3N9e9//777V2aiMghxcw2t2S5jjiUUwQMaDKd3dgmIiKdSEcExFJguJkNMbN4YCowrwPqEBGRA2jvy1xnA0uAkWZWaGbTnXNh4DpgIbAaeMo5t7I96xARkdZr13MQzrlp+2lfACxoz3WLiMiXo8tJRUTEkwJCREQ8KSBERMSTAkJERDwpIERExJMCQkREPCkgRETEkwJCREQ8KSBERMSTAkJERDwpIERExJMCQkREPCkgRETEkwJCREQ8KSBERMSTAkJERDx1qoAws6Fm9oiZze3oWkREDncxCwgzm2lmJWb2SbP2yWa21szWm9mtBxrDObfBOTc9VjWJiEjbxfKRo48CDwCP/7vBzPzADGASUAgsNbN5gB+4p1n/K51zJTGsR0REvoSYBYRzbrGZDW7WfByw3jm3AcDM5gDnOufuAabEat0iIhJ7sdyD8JIFbG0yXQhM2N/CZtYT+CVwtJnd1hgkzZe5GrgZyMjIyKCgoCC2FYuICND+AdEqzrndwDUHWSYfyAfIzc11eXl5X0FlIiKHn/a+iqkIGNBkOruxTUREOrn2DoilwHAzG2Jm8cBUYF47r1NERGIglpe5zgaWACPNrNDMpjvnwsB1wEJgNfCUc25lrNYpIiLtJ5ZXMU3bT/sCYEGs1iMiIl+NTvVLahER6TwUECIi4kkBISIinhQQIiLiSQEhIiKeFBAiIuJJASEiIp4UECIi4kkBISIinhQQIiLiSQEhIiKeFBAiIuJJASEiIp4UECIi4kkBISIinhQQIiLiSQEhIiKeYvZEuVgws/OAs4B04BHn3MsdXJKIyGErls+knmlmJWb2SbP2yWa21szWm9mtBxrDOfe8c+57wDXAxbGqTUREWi+WexCPAg8Aj/+7wcz8wAxgElAILDWzeYAfuKdZ/yudcyWN/39HYz8REekgMQsI59xiMxvcrPk4YL1zbgOAmc0BznXO3QNMaT6GmRnwa+Al59wyr/WY2dXAzUBGRkYGBQUFsXoLIiLSRHufg8gCtjaZLgQmHGD564GJQDczO8I592DzBZxz+UA+QG5ursvLy4tdtSIi8rlOdZLaOXc/cH9H1yEiIu1/mWsRMKDJdHZjm4iIdHLtHRBLgeFmNsTM4oGpwLx2XqeIiMRALC9znQ0sAUaaWaGZTXfOhYHrgIXAauAp59zKWK1TRERaqbasxYvG8iqmaftpXwAsiNV6RETkS3jmqhYvqlttiIgcLqp24j5b1OLFFRAiIoeLlc9hLtLixRUQIiKHidBHc1gVHdTi5RUQIiKHg92fEbftA56PfL3FXRQQIiKHgxVziWK8n3Zqi7soIEREDnXOEfl4Du9GR5E7bmyLuykgREQOdcXL8O/ZwHORE5k8pm+LuykgREQOdcufJkQcHySfxNeyM1rcTQEhInIoi4RxK+byWvRovjFmGD6ftbirAkJE5FC26U2sZifPhU9k8ph+reqqgBAROZSVbQZgc+KRHDu4e6u6KiBERA5hoboqAE44cgABf+s+8hUQIiKHsK07dgHwzTEt/wX1vykgREQOYbXVlYScn5FZPVvdVwEhInIoC1ZTSwJJcf5Wd1VAiIgcwixUQw0JJHb1gDCzUWb2oJnNNbNrO7oeEZGuzheupcYlkhBo/cd9LB85OtPMSszsk2btk81srZmtN7NbDzSGc261c+4a4D+AE2NVm4jI4coXqqbOEjBr+Q/kPu8bwzoeBSY3bTAzPzADOBPIAaaZWY6ZjTWz+c1evRv7nAP8Az2mVETkS/NHaqm3xDb1jeUzqReb2eBmzccB651zGwDMbA5wrnPuHmDKfsaZB8wzs38AT8aqPhGRw1EgXEu9L6ltfWNcS3NZwNYm04XAhP0tbGZ5wAVAAvvZgzCzq4GbgYyMjAwKCgpiVauIyCFnaLCSWpfWps/K9g6IVnHOFQAFB1kmH8gHyM3NdXl5ee1el4hIV7XzzTAuLpVT2vBZ2d5XMRUBA5pMZze2iYjIVyDe1RL2t+0QU3sHxFJguJkNMbN4YCowr53XKSIijRKidUQ6OiDMbDawBBhpZoVmNt05FwauAxYCq4GnnHMrY7VOERE5gGiUROqJBJLb1D2WVzFN20/7AnTJqojIVy9cC4CL65yHmEREpKMEawCItnEPQgEhInKoClU3/DcupU3dFRAiIocoF2wMiATtQYiISBPhuoaA8MdrD0JERJqor60EwBIUECIi0kSotuF51P6E1Db1V0CIiByiwo0BEUjUOQgREWkiVN9wDiKQqD0IERFpIlL37z0IBYSIiDQRbdyDiE9Ka1N/BYSIyCEqWl9NxBmJibrVhoiINOGC1dSQSFL8F7fd+817v2lxfwWEiMihKlhNLQkkxvkBKK4qZs7aOS3uroAQETlEWaiGapdAcnxDQOQvz8ewFvdXQIiIHKIsXEMtiSTF+ymsLOSF9S9w4fALW9xfAdGFldeXd3QJcoiLRCPkL89n4aaFHV2KtIEvVEMNCSQG/OQvz8dnPq4ae1WL+8fsgUESG845nlv/HKV1pUwZOoW+KX33WWZt6Voe+PABCgoLuHTUpdxy7C2YtXy3UaQl6sJ13LL4FhZtXYRhBCNBzh52dkeXJa3gj9RSRwJFVYXM+2weU4+cSp+UPi3ur4DoRGrDtdzx1h28vPllAP704Z+44egbuHLMlZ8HwEclH/H9V75PnD+Ok7JOYtbqWQDcetytBxx71e5VZCZl0ju5d/u+CTlk3L/sTyza+jqjdg5nd8pObn/rdganD2Zsr7EdXZp4cM7t80XRH64l6OvBQ8sfIuALMH3M9FaNqYDoRO5fdj+vbH6FHx7zQyYNmsR9y+7jvmX3sa54Gd/q9i12d3f89oNfkpmUyV8n/5VeSb245717mLV6FmcPPZvRmaP3GTMajZD/7m/487o59ErK5NHJjzEgfUAHvLt2tmcTrH8NfH7IOQ+SMg7a5dmXfk9ZsIZLzryFxPi49q+xC9lVu4sn18xhcHlvnqp6jepq44wBWfyh4G5mfvvpji7v8FZbBq//EnauhdHnwbip1BDPZY+8RzAc5efn5HDMoB4AxEVqKYoPMH/DfKYdOY1eyb1atSqdg+gkNpRtYM6aOVw44kKuGHMF2WnZ3HvCXVxcm8LCbW9ww5pb+Nk7t5GVms0jZzxC7+TemBk3HH0DafFp5C/P33dQ53hw7gXMWDebidXV1Ffv5Mp/Xs7u2t1f/RtsTzvXUZh/Ks+9cSez3ridDX/9NkSjB+zy3Nwf8avtj/CHsr9zxhO5zPvola+o2K7hwY8eJhoNMaPiQ8g5D//0Nzmj0sfSmjWs31TQLuusj9TjnGuXsbuqLbtrKK8JfdGwfQXMmABLH4ayLTD/v3B/u5Afz1rCh1v2sKOijgv/soTF63YCEBet5ZWMKuJ8cUwf27q9B+jiAVEZrGRD2QaCkWBHl/KlOOe4d+m9JAWSuP7o6xsaw0G253+bn25bw43VJzE50o+7du7msprT9jovkRqfyqWjLmXR1kV8uufTvcbd/tb/8tfq9YysTCVUeDF/Kt7Fzpqd/OHd+77Kt9e+ygvZ8NgULstM4r979eTXPXtwp38zexY/sN8u77x2H7+t+CcZkXhuSJxAggvy62U/Zk3J5q+w8PZXXbqBJ5+9llv+7xvc9dg5FHz0Qov67a7dzdx1T3FaZYhe6SPggnwSs8cybPT/khh1/N8r/wWRcExqLK+t5bdvP8qUuVPJ/dux5P7tOC5+8VIWbVl02IaFc44FK7Zx7ox/cfJvX+eou1/mnAfeYttny+GJ8xv2kq96DW74EM7Phy1LmLrhNn5x1jBe/3EeWRlJPLBoPdTuYZuvno+Sy7l45MVkJmW2uhbrTH8JZjYZ+CPgBx52zv36QMsnDUlyR/z8CHzmo19KPwanD2Zg+kAGpQ/6/NU/pT9+n79VdYQjDd8+A34fWyu38s62d1ixcwVVoSri8ZFlGWRFM+gTTiE96khKTCRrSA5J/XMgEN/q9/3G1je4btF1/OTYn3BZzmUAbJ99PX3XPs5fe/wXl/3gvwkQoeje44mr20Xl995lWPYXIVFeX87pc0/nxKwT+X3e7xsad6zizqen8GJqChPT/8Ctp5/EqoKneWPjHcxNS+dvZz7H2D7D9vP+I7z0wZO8su5JyqOV+MwYltqf3KwTOHncFSQndmv1e2zOOcf2ijp2VwUJRqJ0T44nMzWe1IRAy0+4h+spyp/IVfG72O5PYcakB1m9cyP3Lb+bK8uquOmKt7H0fnv3iUa4/qGjeC/ReGTy84zpN4wlL9zCD0vnk+h68OKl/yT1AA9XWbPrM+5/8wFW73mbaguSaHGMyhzH+aMv4rSBpxHn38+hKucgEtp3+4iEobYUqndBsArikqH7YGjj/fsBXCTC3H/exl+2z2dnwE9S1FFn4Mw4yg3jD9/+K71Suu+3/++W/pFHVz7MvKJihlz8dzhiIgChSJSLHvw2W1LWMn/wJWTl/bT1xVUUE/zsLdateJvX9izlxZQydsT5GFYf5ms1PjaSyfKUMOH4CvrFH8Xv8u5hbL8DHxINRaIsXreTp5cvI1K3hn6+HZw9IJtj+o/A130w9DwCfD7C0TBrS9eyrGQZH5Z8SElNCZFohIHJfelVVkNGcRE9/FlkHHE2eaedhc/nsR06B2vmU/2vP1Bes4tg7yOpH3sRrt844v3xJPoTiffHNy7qiLgIhZWFbK7YzKaKTWwo28jGsiIikTjS/H05OvNEvpl9Mv27pRHw+fhw6x5mvbOF9zaVMrRXCtOOHUh9OMLriwt4kF/RI8nwT18ImcMB2F5ex59+9zN+4XsI38ATYOosHl1awvqXH+SnafO4I91YlJzOaxe/Ss+knp+/DTP7wDmXe7C/rk4TEGbmB9YBk4BCYCkwzTm3an99Rg9Kdb++cyyb/cYWX5RNhNlCiGq+OLwQwMj2p9A3kEJ3fzIZ/lTS/Wmk+tNJ9meQaN0JWAahcDJFRUWUl2ym1m2iJKWEz1Ir2J7QsHvXLeLIiESo9UFJ4ItTN33CYYaEQvSMROkWgYS4XmT2HMGYYScxauS5JKUe+IqBYCTI+S+cj9/n55lzniHOF0fFkkdJX3gjf487j2/96GHSEhs+dMrWLiZj9tm8OPAnnH3l7XuN8+DHDzLjoxk8NvkxxvcZz+L807k+vpihgdN49tL7Pv/QXfn4d/hu5APSQjk8/50nSU/84gMtFIky6613eXHNdaxLDJIeiZIdiuKALfE+qn0+EqKOMcEUsnxjSOl2Ksndv0Z6ShxhXwk1rpjK8HbC1BOJ1kPdblKDVaTV7qGqopiqUBVVLkS1RanyQaXPR6JzdA87EiLx+MLJuGg6QX8PQkmZhFMHMKDXIPKGjuK0YUftHRyREFXP/ifXlL7Bivhk7svL55QhxwFw6d+/x4raJTyUdDInXPznvf6cPn5jBt/Z+BdO9B3Nn7/zRENjNMKLfzmZO1LKGZpwFM9MfQKf7b1zvbWikJ+++ks+rngLP46v19bRNxyl0gfLEhPYEQiQ7k/mpAF5HN1nPNlJvagp/oCy4vcp37WWsmAFZeYo88exxx+gwucjIRohyUVIclEyw1F6RcKkRB0JzqiNH0BN+mjIHEda5nCGZPRhTFI8fSrWYUUfwI5PIBqBpO7Qdyz0Owq6DWD9hkX8evlDvJsQZUC9j0lZP+CSk/8fO7av5YVXvs8zyTUkR9LInzKLMX2G7rM91oRqOHn2qRxXtYd7A0NJ/d4CaPLn/ti7y/j96suZWlnDbZe9DhkDD7h9AxAOwspnqVvyENt3LWdhajLPpaZSFBdgaCSR78YN55SkXiRWFxG/5Q0ikSB/7DGax9NqiESTGWaXc9UxZ3N6Tp/PfxH87+31xY+LyF+cTyjxZUqSavZabWo0ysj6IJn4KU/pwcfUUxttONqQlZrFgMRMXHkRm2p3sCPwxbg9IhH6hlMYfsSp9M7IwsyoDlVTXLGFbcVLKQ5XU+Fv3ZdOAB9xRIM9CddngC+IP3Eb5q8lGswgedfx/Gf1Bo72baC3rxIyh9N35AR8fUZD6WdE3p7B7qCfHyX8jN9dN43eaYkA3DjnQ176ZDtvn7WHzFeuh2gYF0hiaSDKLb36sivg6BOdwqtX3LNXLV0xIE4Afu6cO6Nx+jYA59w9zZa7GrgZyDiyd0LmW7efgC8awhcNYy6EiwTZFQ2z1Rdha8BR7HcUxhmlfmO3388uv496375H1vzOkRx1BA3qfT7MOcbUOybU+hldn0xaOJWqQE9q4jPZk5DG9sQwJXGVFFPK7ugeqiOV1FgdIV90rzEHh6IcGUzm+NAA0hKGEEzNJr57Nv6UTDAfC8oW8FL5S1zb+1pyEkfS+7O55BQ+ydvR0WzIvYvs9CbfSJ1jyFs3UBEOUHzS70kIfPEPNxgN8oviX5DuT+cH/hN4oOJv7LFUbht0N+mBLx4WEhes4L01P2RmtyR67LqaH44ZQ1o8rCmN8vK6D6no9SgVfjinbigDe1xCTaAXu2uj1FSXEa17k3L/MlYn7aE0sP+jk34H8S5KnHPU+HyEzfA5SIoaCVE/SS5AsguQan4iFqXCglRYiHJfhMh+9h7SQkmM8uVwRubxjAjVEtgymwcTS3kjOYnJiVdwVp/xny9bGqzgf4ru4LSaWs4ZeR+RQOMegYvy0qobeSXZcVOvuxiY+sU3qoTa7axZfRu/75nKABvDVf2/TXd/dwqDhSwsfZvl9f8izkW5uKKKCXFfJzDsIkIJPQiWFVP32evEh15hcaqPN5OTKPPv+2cTiBoJkTgSoz5SI0aqc4TNT73PT70fKn0hqn11ODvwv8fukQh9wxG6hePpFfHTP1xPj2gF5X4fnyQk8GZSIgkOjqkZy5nDrqBb4hd7LL5IHTXL/5v/6VZFnUvmqj43cWRq9l7jLyxbxPzy5/hb8XbCo39FZfrwveZHnePOVQ8RTP6EuXsS2XzUr4g2fmMORhxvF4dZUxqhKgg+X4QhvrfIcc+xKSHIewnJlMQ1/P1m+4ZxZo9TGZs8dq/g94er6V/8TwZueY4NVs+NfQZRFFdPqDIHX9nJDEsaQq8kP9XBWoL1C6jLWEphYpjBwRBnhTMYmDqGsvhsXi8vY11tIS5hBwlx1XSL1jG+tobx9fWMcqn0iUBifQkRjBcjX2d11hmkD0hkd3ATW3a+RwWFbAsEKPf5wIwE/PQPBckKBSmLDuWDmrH4oqn0TTC+EfmQr0eWUo+PjxnILkuht1XQ33aTTjX9whGSgqkU1OexpucZ5GT1YEg3HwFflI/LP+adiqfY5K9hSDDEpbUZnBzoSWpNESnVW/C5CA6jvNsoXs6+gTs/Sqdvio+rxyXw7rYw8z4Lce6wOM4fHk9axTp6lH5EXLCUaYEiSiNGoPRchsSN4qbxez8w6JRTTulyAXERMNk5d1Xj9GXABOfcdfvrkzPuaPfzR+axdkcla7dXsnZHJTsr6z+fn54Y4Mi+6Qzvk0pmSjzp8Y40f5AEqyTqdhGMlFIXLaUmXEpVpIJIfIBAYjdy+hzDsf2Pb/UZf4DNe/bwyvIVfLphIaXVH7E7UMLGxDrCBt+oqWVaRSVfr60jQhxPpfXm3kw/J4XSuTWSRY9dS0kNlTLPnUTShQ8wadzgfcdf8DsGvXc3C7/xNGdMPH2vefM3zOe2N29r+PN0jtvG/Z5p40/fZ4zaj2dz7vt3UxdJZevGO8lISqRb5H2ig2bhAx449nbGjL1kv+8xEgmzftMiln+2gNJda4hW7mBAKMygUITskCOcOoiy9CMpTR3BrtQRlKX054g+fRjRJ43uKfs/BBd1USrqyglX7yC6cy2RbR+zfetSPi1dzatJ8G5iIlEzEqNRQmY452div+/xu8n7biJXzr6WD+rf5ImeUxh3dsORynVv/Ymp6x8iJzqSv135zD596t57nNn/+in3Z/Qg7HOAAQ6fgwsqK5kW6cMRU2fi67vv1WKbi3fwrwWziG55mxpfLZsDiayOHMEnoRygO6P79+ToAd0ZPyiD8QO7069bouehtFAkRE24htpwLXuKV1K66V0qStdTFAqxGdhoAYqi9VRGdlLPbrAvTmAmhpIYETiGK46/jolH7lsjAMFqPnpkCj+O385uXxK/PvlPnDHsRAA+3fMp/zFvKuNrKvld8rFkXD7Lc4gnPniPe1dM5+yqav6n76nY+Q/y/PLt/PIfa9hdt5OefVYRSF5BvX8D4cbAS4om0TdlHGcN/yZnDz+N/qn9vev7t9o98PqvCC19hJndUnksI4NKc8RFjeSoUeGP4MzIDke4pudxTDnlF/i77X0oqnBPDXe/uIqXV+1gUPd4bhxZxjGsIqlsPdsq6llY0oM3k07lzksmctyQHnv1XbnifeqfvZ7xTQ5gFCcM5aaq77A6LocbTxvOZScMIuHfex5lWwgvuofIxn8RqCqiJH4gGwNDKYwbTGaSMSayit4l/wJ/Aow+H7LGQ3khLP87rmoHr+aczp/81Wys2sronqP5Ts53mJR1MnF7NkG3LFxiBuv2rGPW8kXMXb6UUF0mkapRXDRuPPdcMA5/k8Nhbxe9zfdf/T61xd8mXH4M5xzVn/unHb3X++uKexCtDoiEfsNdv8vvIzHOx4g+aYzok8bIPmmM7Nvw6p2W0Cl+QLajaidPrJzDC589RVmojFQSSIn4KPHVMqrOx93FdSTgWMVgVvecxLlTv88RfdI9x3I1pYTuHcHLCadz1q2z9nl/rxc8wOqP7mV7+hncfeX/7bem156+mJtqVjEimk6fcDpLA1tJd/Bw3h8ZMvS0mL7/L805XOkG3vv4dZ7f+AabnKMuoS+35/2A3AFDPLus21nExfMnM7Gmlt9e/BKkZ/Hjh3NZlOTnz6c8y/GDh+/byTkir/yc7e89wNyU7lRYPDnhMr5ZGyb1hJtIPOVm2N85hkbltSFWFpWzcXc1qQkBsrsnM7p/+l6HRmIl6qJUhaqorq8nLT6NlPgWbu/Baj6deTY/8hezKS6eSQMuIG/wMfxh6QzqqrfxbHERff/zXejpfY7KOcdFc+5iXfAZvr+nnPFVA/lJdBLh/hupi/+IiIswIhxlQnU14wadwlEn30nfjCFt+7dYthU++Cs1ny3ilaqNrIuPoywhmf6p2Rw7eCK5x1yDL/7Aj9N8fU0JD77xGe9uLP28LeAzzvlaf342ZTTdkr3/TndW1PL03CfZunEtpZFklsRN4LzxA7hp4gh6HOCLDs7tdVjucyVr4L2HYMVcqK8AXwCGnQon/QgGHk84Gmb+hvnkL89na+VWkgJJjMkcQ7w/ni0VW9hauRWA9PhuVATL8Vs8fzltBidkHb/Xaq599VpW715N2s6fsaKwhotzB/Cbi8bttUxXDIgWHWJqasToo9wri98mu3vyXgnaWYUiIRYXLmbh5oXUh+s5sueRXDbqMgKWxI6KOnqnNdwz5WA+y7+U3kWvsfE7Sxk37ItvTS4aZdM9uQRCVaT96EMy0vZ/stXVV/H3py/kkfotbA8EOMvXnZsm3kfffuP326er+e7ff8IHdS9xV1U8Q5IyudxXxFEcxxPfnXngjpuXNFxGGA1D71GQeyWkHmI/MKyvonjmucwMf8ZTaWk4g4SIj/wd2xhz/I+IP+WWA3aPRqNMff5GVlcWfN6WHo1yfmUVF1VUMTjreJh0N2Qf085vpOUK99SwpbSGUMRxzKDupCa07Gdg5bUhdlbWMSQzNTafM85BVUnDl43kHvvMjrooS4qX8EbhG6zctZKoi9IzqSffHPBNTs46mT4pfdhevZ1rX72Woqoi8ifl87XeXwMa7rJw0YsX8YOv/YDEqjP4+Yur+O7XB/Pzc/beo+yKARGg4ST1aUARDSepL3HOrdxfn9zcXPf+++9/RRV2HjUb3yP5sUk83/cGzrvmF5+3v/+PR8hd+kP+NeYXnHjRDS0aK1S9i8qyzfTI6jz/kGOlOljHWY+dSWVgJ2GDuGgcj3/rJXL67nv7ksNSsIb6l3/Ozo8eJmjGgFCY4HHXk3LmL7y/ATcTiUZ4d9u7rCh8i97l25kcjJKUMRgGngADJ7R//Ye5XbW7uPyly6kKVTH7rNn0S+nH5f+8nE3lm3jx/BcJhxI5/p7X+M+8I/ivSSP26tvlAgLAzL4F3EfDZa4znXO/PNDyh2tAAGy+90Rc9S4yfvIxGSmJlO4pJfTHY6j2ZzDw1ncJxLX+cttD0WufruaW126hR0IOV4+/hIuOGnfwToeb7SsaDuWk9ILs3BaFg3QOG8s3cuk/LqVnUk+O6XMMz3z6DHd9/S4uGH4BAKuKK8jqnkS3pL0Po3XJgGitwzkgit56gqxXr+OJnjdy1hW3syz/GiZWPMvm815g0NfyOro8EfmKvLPtHe5ecjdbK7dyVK+jePzMx/e5TLs5BcShLhKi+M9T6L/7HZZHhzLOt4FV/S8g5+q/dnQBtqthAAAIvElEQVRlItIBdtfuJjkumaTAwZ8/3dKA6NK32jis+ePof+08tvadxHD/Ngon/Iycqx7u6KpEpIP0TOrZonBoDd3NtSsLJDDg+09DJEh2IKGjqxGRQ4z2ILo6M1A4iEg7UECIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiKdOFRBmNsrMHjSzuWZ2bUfXIyJyOItJQJjZTDMrMbNPmrVPNrO1ZrbezG492DjOudXOuWuA/wBOjEVtIiLSNrHag3gUmNy0wcz8wAzgTCAHmGZmOY3zxprZ/Gav3o3zzgH+ASyIUW0iItIGMXkmtXNusZkNbtZ8HLDeObcBwMzmAOcCq5xzK4Ap+xlrHjDPzP4BPBmL+kREpPViEhD7kQVsbTJdCEw4UAczywMuABLYzx6EmV0N3AxkZGRkUFBQEItaRUSkmRYFhJm9CvT1mHW7c+6FWBXjnCsACg6yTD6QD5Cbm+vy8vJitXoREWmiRQHhnJvYhrGLgAFNprMb20REpAtoz8tclwLDzWyImcUDU4F57bg+ERGJoVhd5jobWAKMNLNCM5vunAsD1wELgdXAU865lbFYn4iItL9YXcU0bT/tC9DlqiIiXVKn+iW1iIh0HgoIERHxpIAQERFPCggREfGkgBAREU8KCBER8aSAEBERTwoIERHxpIAQERFPCggREfGkgBAREU8KCBER8aSAEBERTwoIERHxpIAQERFPCggREfGkgBAREU8xeaJcrJjZecBZQDrwiHPu5Q4uSUTksBWrZ1LPNLMSM/ukWftkM1trZuvN7NaDjeOce9459z3gGuDiWNQmIiJtE6tDTI8Ck5s2mJkfmAGcCeQA08wsp3HeWDOb3+zVu0n3Oxr7iohIB4nJISbn3GIzG9ys+ThgvXNuA4CZzQHOBVY551YAU5qPY2YG/Bp4yTm3zGtdZnY1cDOQkZGRQUFBQSzegoiINNOe5yCygK1NpguBCQfpcz0wEehmZkc45x5svoBzLh/IB8jNzXV5eXmxqVZERPbSooAws1eBvh6zbnfOvRCrYpxz9wP3x2o8ERFpuxYFhHNuYhvGLgIGNJnObmwTEZEuoD1/B7EUGG5mQ8wsHpgKzGvH9YmISAzF6jLX2cASYKSZFZrZdOdcGLgOWAisBp5yzq2MxfpERKT9xeoqpmn7aV8ALIjFOkRE5KulW22IiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeOpUAWFmQ83sETOb29G1iIgc7mL1yNGZZlZiZp80a59sZmvNbL2Z3XqwcZxzG5xz02NRk4iIfDmx2oN4FJjctMHM/MAM4EwgB5hmZjmN88aa2fxmr94xqkVERGIgVs+kXmxmg5s1Hwesd85tADCzOcC5wCrn3ApgSizWLSIi7SMmAbEfWcDWJtOFwIQDdTCznsAvgaPN7Dbn3D0ey1wN3AxkZGRkUFBQELuKRUTkcy0KCDN7FejrMet259wLsSrGObcbuOYgy+QD+QC5ubkuLy8vVqsXEZEmWhQQzrmJbRi7CBjQZDq7sU1ERLqA9rzMdSkw3MyGmFk8MBWY147rExGRGIrVZa6zgSXASDMrNLPpzrkwcB2wEFgNPOWcWxmL9YmISPuL1VVM0/bTvgBYEIt1iIjIV6tT/ZJaREQ6DwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHiKyQODYsXMUoA/A0GgwDk3q4NLEhE5bLXrHoSZzTSzEjP7pFn7ZDNba2brzezWJrMuAOY6574HnNOetYmIyIG19yGmR4HJTRvMzA/MAM4EcoBpZpbTODsb2Nr4/5F2rk1ERA6gXQPCObcYKG3WfByw3jm3wTkXBOYA5zbOK6QhJNq9NhERObCOOAeRxRd7CdAQChMa//9Z4AEzOwt40auzmV0N3AxkACEzW96OtX5Z3YDyTjx+W/q3pk9Llj3QMm2ZlwnsalF1HUPbxIGX/TLztU20fOxBLertnGvzC3gV+MTjdW6TZQYDnzSZvgh4uMn0ZcADbVz/+1+m/vZ+Afmdefy29G9Nn5Yse6Bl2jJP20TX3ia+zHxtE7Ef+0vtQTjnJrahWxEwoMl0dmPbochzL6gTjd+W/q3p05JlD7RMW+d1Ztom2m++tokYj22NKdNuzGwwMN85N6ZxOgCsA06jIRiWApc451a2Yez3nXO5satWujptE9Kctom2a+/LXGcDS4CRZlZoZtOdc2HgOmAhsBp4qi3h0Cg/RqXKoUPbhDSnbaKN2n0PQkREuiZdSioiIp4UECIi4kkBISIing6pgDCzFDN7zMz+z8wu7eh6pOOZ2VAze8TM5nZ0LdI5mNl5jZ8Rfzez0zu6ns6s0wdEK2/4p5v9HQZas024hlu6TO+YSuWr0spt4vnGz4hrgIs7ot6uotMHBK274Z9u9nd4eJTW3QRSDn2P0vpt4o7G+bIfnT4gXOtu+Keb/R0GWrlNyGGgNduENfgN8JJzbtlXXWtX0lU/RL1u+JdFw83+LjSzv9B1f3YvbeO5TZhZTzN7EDjazG7rmNKkg+zvc+J6YCJwkZld0xGFdRWd6olyX5Zzrhq4oqPrkM7DObebhmPNIgA45+4H7u/oOrqCrroHcTjd8E9aRtuENKdt4kvqqgGxFBhuZkPMLB6YCszr4JqkY2mbkOa0TXxJnT4gvoIb/kkXo21CmtM20T50sz4REfHU6fcgRESkYyggRETEkwJCREQ8KSBERMSTAkJERDwpIERExJMCQkREPCkgRETEkwJCREQ8/X8Q/H0nGSgoUAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X154360.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X148903.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X142474.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " # plt.axis([240,330,-1,1])\n", + "\n", + " # plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X154359.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEACAYAAAC9Gb03AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAFxdJREFUeJzt3XuQ1fV5x/HPc3a5k25MuCQIZd2sNWIco2WUgqTURIWGZYnaRnR2xtZKaEZnM2ltzUw6mbaTNqnNhTSZJKQ6JExEbRq5OBLSpFLJogaEGhVqWCmLqBEIlYwgK3vO0z/OObvn7O2cs+fyu5z3a8Zkzu9ceJxfeOab5/d8n6+5uwAA8ZUIOgAAQHWR6AEg5kj0ABBzJHoAiDkSPQDEHIkeAGKORA8AMUeiB4CYI9EDQMwFmujNrM3M1plZW5BxAECcWRhGIEybNs2bm5uDDgMAIuWZZ5454e7TC32usRbBFNLc3Kw9e/YEHQYARIqZ9RTzOWr0ABBzJHoAiDkSPQDEHIkeAGKORA8AMRfpRH9m3z6d+PY6ndm3L+hQACC0Ipvoz+zbp2fXrNau739Xz65ZTbIHgBGEoo9+LA4/skFPzp0pN+mlVEpNj2zQvMsvDzosAAidyK7oT/obyu7pTVlCJ/2NQOMBgLCKbKJvue6jarRU+oU16udTLww2IAAIqcgm+lmLb9Qf3Xm7rrqyWadnfEjW80H9577ngg4LAEInFNMrT506Nabvz1p8o67+i6/ruk+2KWVJ7dzwnN44fbrCUQJAtAWa6N19q7uvbmpqKut3Flx8oRoWu6adeY/+8csPVSg6AIiHyJZuBvvUzW06cv5h/fYrzfrqxi1BhwMAoRGbRC9Jn/n0x3Vi8q+U/FlCTx04GHQ4ABAKsUr075wyRYs7LlXCG/TYfU/rzNneoEMCgMDFKtFL0jWXX6reK89o5puz9Hdf3Rh0OAAQuNglekm657YbdWTmYc0+PFvf3vTjoMMBgEDFMtFL0qc/dYPemHhSv/npW/rF/x4JOhwACExsE/3M896pD368ReP7Juqxf3pQP/3ETTq0YW3QYQFAzcU20UvS8t+bL3vHTo07uUv//X9ntXnLdpI9gLoT60QvSZec+h/J+yRLDz/r6doZdEgAUFOxT/QXXL1YCU9JMskaZPOuCDokAKip2Cf6lo5Ota+4XnOnTlbDO9r1+JHf1m9OvxV0WABQM7FP9FI62d9030M69/vnacabs/T5L9NfD6B+1EWiz7q742M6Mjs9D+eL3/1h0OEAQE3UVaKXpL/5y1V6feqrmvD0JG17em/Q4QBA1dVdop86cZJWfmKRzjW8rb0bu3X0xMmgQwKAqqq7RC9JV1x4gd59/VT91tnz9PWvbFYymQw6JAComrpM9JL0p8s/rNff/5rm/HquvvZXn9Pja9g5CyCeqpLozWyKme0xs+XV+P1K+du7btVvEk8rdfR57T35FjtnAcRSUYnezO43s2Nm9vyg60vN7EUz6zaze3Le+mtJD1cy0GpoaGjQB/v2SuqTzJQy03PbtgUdFgBUVLEr+vWSluZeMLMGSd+QtEzSPEmrzGyemV0rab+kYxWMs2ouWny1LOXpF2Y6dC7Bqh5ArBSV6N39CUmD21OulNTt7ofc/W1JD0pql7RE0gJJt0i6w8xC/RygpaNT7xuXlDK5PmUJdT2ylWQPIDYay/ju+ZJeznl9VNJV7n6nJJnZbZJOuHtquC+b2WpJqyVp5syZ2rFjRxmhlOed8y5R4tkDSikhmXSscaI2b9muK3qOyK9uCywuAKiEchL9qNx9fYH310laJ0nz58/3JUuWVCuUwpYs0ZwNa9X1yFYda5yYnnSphN7Y/4LaP/ul4OICgAoop6zyiqQ5Oa9nZ65FUktHpxZ9rE2W/T8gJnWfa9DmW5ZSxgEQaeUk+t2SLjSzC8xsvKSbJW0p5QfMrM3M1p06daqMMConXa9PSZ4p2CdM3X0NtF0CiLRi2ys3SnpS0kVmdtTMbnf3Pkl3Stou6YCkh939hVL+cHff6u6rm5qaSo27ai5dtkwJ94FkT9slgIgrqkbv7qtGuP6YpMcqGlHAWjo61S7puW3b1N3XKJny2i5bOjqDDhEAShLq1segtHR0qv2BH6m1sY+2SwCRF2iiD1uNfrB0GSeVTvaZtstNW7brqbtvCzo0AChaoIk+jDX6XNljCGf0ne1P9m4J7Tp8nJU9gMigdFNAXttlf7I37XrkUZI9gEgg0RehpaNTC5tnyLIFe5Neb5xAGQdAJFCjL9KCe9drZdt1mtb3dvpCdmVPGQdAyFGjL0FLR6cWr/xo3rRLN1HGARBqlG5KlC7jTJflbKh6vXE8u2cBhBaJfgyyZZzz+jJnzbJ7FkCIkejHqKWjU0tWLs0r43Sfa+DhLIDQIdGXYeDQkoEhaF09x5l4CSBU6Lop06XLlqXr9Tk1eyZeAggTum7K1N9j72LiJYBQonRTAQvuXa+VK65Ta2NSGlSzp4wDIGgk+grpn3g5qGZPGQdA0Ej0FcbBJQDChkRfYdmJl0PLOI2UcQAEwjy78gziDzdrk9TW2tp6x8GDBwOLo1o237JU3X0Nkln6gkvmKS1snqEF964PNDYA0Wdmz7j7/EKfo+umioaWcZhnD6D2KN1UUW4ZZ2AHbXrqJccSAqgVEn2VZbtx+gehcSwhgBoj0ddIdhDajL7evGMJuw4zMgFAdZHoayh9LOHyvGMJ6bUHUG0k+hobGJmQKeNI9NoDqCqGmgVgYGRCX16yZ2QCgGoItI8+a/78+b5nz56gwwgEvfYAxioSffQYude+6/BxOnIAVASJPmD5vfY5D2nNtKvnuA79w63Syz8POkwAEUaiD4GBXvsZ6ZV9f/ul6b92v06yB1AWEn2ILLh3vRblbqySdHL8RG068Tt66gufDzY4AJFFog+ZbEfOzNS5/rq9J0xdx5PaREcOgDEg0YdQS0enFt72yUFn0Uov9TUyNgFAyUj0IdWyvF0L33/RwFm02bp9IqGuHsYmACgeG6ZCbMHff6X/LNr+sQlSenMVq3sARWLDVEQ8dfdt2nX4uDzTeikpnfjd1TouqUuXLVNLR2eQIQKoMTZMxczA2IRB/faZoWis7gGMhEQfIbn99oOHojHyGMBISPQRlDcULefkqnTtntU9gHwk+ojKru4XDTq5Kr26N86lBdCPRB9x2ZOrBo88Tp9L+yjJHgCJPg76V/dzpw06l3aCNm35MWUcoM6R6GNk4FzaszkbrExdPSdI9kAdI9HHTPpc2rbMBquBB7VdPSf0b6uWU8oB6hCJPoay59JmN1RJkkw6kpIe2fIfrO6BOkOij6mBkcfKzMrJJPxEenW/4cbr6bkH6gSJPsbydtMOmoR5rHFc/7wcEj4QbyT6mMvfTav81X3mfFo2WQHxxvTKOjHs6j5vkxUjFIC4YnplHTq0Ya2e27ZNZ3qTejUxXkrYwJvuMnctbJ6hBfeuDyxGAIUVO72SRF/nBsYfW3p1LzH+GIgIxhSjKEMGpDH+GIgdEj2GH5AmDdTuOboQiDQSPfrlru4tlf+wlqMLgeiiRo9h5R1dqNz6vWve5IQmTpyguYsWU78HAkSNHmXJb8fMP5h8/xnX3pNvscIHIoJEjxHlbrYavNGK+j0QHSR6FDTs3Bzq90BkkOhRlGwp54p3TdK8yYlB3TmSJ1jdA2HFw1iMSXZ37UvnEnJL5G22MnddPIUHtkC1sTMWNTFyd076PxinAFQPXTeoiaHdOcM8sGVYGhAoEj3KVmgUcnqcAg9sgaBQukFFHdqwVj1dO3X2bK8OnE7lD0uTJJdmJXs1eUIDA9OAMlGjR+BGfGArMQ4ZqABq9Ahcfkknp/9eYsMVUEOs6FET+at70+AOHVoygdIFVroxs4sldUqaJumn7v7NQt8h0dePQxvW6ulNW/Vaw4TM4p6WTGCsKlq6MbP7zeyYmT0/6PpSM3vRzLrN7B5JcvcD7r5G0h9LWjSW4BFfLR2dWvXvP9HKtgItmZR0gIopakVvZh+S9Kak77n7BzLXGiT9UtK1ko5K2i1plbvvN7MVkv5c0gZ3f6DQ77Oir1/5G64kSjpA8Sq6onf3JySdHHT5Sknd7n7I3d+W9KCk9sznt7j7Mkm3lhY26s3wM3QGhqZ5grHIQLkay/ju+ZJeznl9VNJVZrZE0g2SJkh6bKQvm9lqSaslaebMmdqxY0cZoSDS5lwmu/kyTZL0uz/bquPP/kJHNE4uk/r78E0uU1fPcb10wzWa2JDQtMsuk1/dFnDwQPiVk+iH5e47JO0o4nPrJK2T0qWbJUuWVDoURFHmfwf9JZ3cEZmZhP+rxsmSXD3PHtDCU7/moS1QQDl99K9ImpPzenbmGlC2QiUdHtoCxSu6vdLMmiU9mvMwtlHph7EfVjrB75Z0i7u/UPQfbtYmqa21tfWOgwcPlhY56sqoffiSLCW9f5I0afJEHtqiblS0j97MNkpaonRv/OuSPufu95nZH0r6qqQGSfe7++fHEixdNyjWqH34UqZTJ0UfPuoCs24Qa0NW+Gb5H3DpvcleTWF4GmKMRI+6MGofvtTfi/++cUkSPmInEomeGj0qYehoZGmkhM/mK8RJJBJ9Fit6VMrQh7YS83QQVyR61LVswj/Tm9RriXFD6/iZhD8r+TaHoCCySPRARqF5OhKdOogmEj2Qo9g6Pp06iJJIJHoexiIIhTZfZXvx3zcuRcJHqEUi0WexokcQit18dfGUBjp1EEokeqBIw67wJTp1EHokeqBEdOogakj0QBkKd+p4ZsctdXwEJxKJnoexCLPid9xSx0cwIpHos1jRI+yK6dShjo9aq+iZsUC9a+noVPsDP9LKFdertTGpWcleWSql3AOwcg9D4WxbhAkremCM8uv4Q1f405Pn1DTBqOGjaijdADWQW8fffzrVv7Lv55Lc1cqYZFQBiR6osSGdOoMSPmOSUWmRqNGbWZuZrTt16lSQYQAVkT3QvLUxmXOY+cCB5p4w7T/j2nvyLW3asp06PmqGFT1QBQU3X0mSS7OSvWy+wphRugFCorjjDhmihtKR6IEQYfMVqoFED4QUm69QKZF4GAvUIzZfodZY0QMhMGTzVc5/sfkKI4lE6YahZsAANl+hVJFI9Fms6IF8bL5CMajRAxHG5itUEit6IOQ4+QojoXQDxBAnXyEXpRsghrIlnSveNUnzJidyyjrKa8vs7mugpIN+rOiBCBt18xUlndijdAPUkdw6/quJ8eka/jAlHXbaxguJHqhTI558lUn4rY304ccFiR6oY4VKOvThx0MkEj07Y4HqOrRhrZ7etFWvNUzIjNKhpBMnkUj0WazogeoassIfpg+fkk70kOgBDFGoD5+STrTQRw9giEJ9+IxWiCdW9EAdo6QTbZRuABStcEmHIw7DiNINgKIVLukkKOlEGCt6AEMUU9JZNHc6LZkBo3QDoGyFSjrvSfZqKnN0AkOiB1ARxRxxaJ5iNHIASPQAKm7EOTpSf8Jnl23t8DAWQMXlH3GYGnhgK/U/tO3qOaGNN16rzbcs1aENawONF2ms6AGMydAjDhOcdlVjkSjdMNQMiIdCo5EZnFYdkSjduPtWd1/d1NQUZBgAyjRiSSfneMOunuOUcwJC6QZARRU67YpdtpUTidJNFokeiCdKOtUVidINgHgbtqQj5Zd0Dh9npEKVkegBVFVLR6faH/iRFjbPkLmGtGQqYerqOUH9vooo3QComaG7bDn4pBzU6AGEGvX78lGjBxBqRdXvacmsCBI9gMAMX7/P78Hv7mtkBn6ZKN0ACIXc+v2B06l0SWfQlMxZyV5NZixyP2r0ACIr/+ATZuiMhBo9gMjKL+kMLee4JdTd10BJp0gkegChVdQMncM8sC2E0g2ASBgyQyeRW7+vz3ZMavQAYmugB39o//28yfWz4YoaPYDYGijp9MlS+eWc/Wdce0++Rf0+B4keQCQNPLCdPtB/L1G/HwaJHkCkLbh3vRY1Tx9xYBrdOVVK9Ga20sy+Y2YPmdl11fgzACArW8q54l2TNG+yDZRzJMYpqISHsWZ2v6Tlko65+wdyri+VtFZSg6R/dfcv5Lx3nqR/dvfbR/ttHsYCqKSBDVcNQx7Ymqdi051T8a4bM/uQpDclfS+b6M2sQdIvJV0r6aik3ZJWufv+zPtfkvR9d9872m+T6AFUw2gTMuMwTqHiXTfu/oSkk4MuXymp290Pufvbkh6U1G5pX5S0rVCSB4BqGbrhKvOGSa82Tuiv38e9pNNY5vfPl/Ryzuujkq6SdJekj0hqMrNWd//W4C+a2WpJqyVp5syZ2rFjR5mhAMAw5lymptWX6ZKN/6IXTp7N5Hob6M6RqbvP9NKW7brkZ09owqq7go23CkraMGVmzZIezSnd3CRpqbv/WeZ1h6Sr3P3OUoKgdAOgFvKHpZmGHHjirtZxyciUc2q1YeoVSXNyXs/OXAOA0Mn23q9ccb1aG5OaleyVUjn994l4zr8vd0XfqPTD2A8rneB3S7rF3V8oJQhW9ACCEuVxChVf0ZvZRklPSrrIzI6a2e3u3ifpTknbJR2Q9HApSd7M2sxs3alTp4r9CgBUVP44hVQsxykw1AwAMp66+zZ1HT7en+j7hbR+z1AzACjR0HEK8ajfk+gBIEf+OIXEoHEKiuQ4hUBLN2bWJqmttbX1joMHDwYWBwCMZLTza4Mep8DBIwBQQaONU3hvsldTAhinQI0eACpo2PNrJcmk10I+ToFEDwBFGjjsZMYw8+/T45DDOP8+0ERPHz2AKBp2dZ/Tfx+2B7bU6AGgDNmHtWd6k3o1MT7df1+jB7Y8jAWAGst7YJu34ao64xR4GAsANZZX0kml8ur3QY5TINEDQAXlPrAdsrs2U7/f1XO8prV7HsYCQBUMO04h88DWzfSTn+zTi+u/osfX3FT1pE+NHgCq6NCGterp2qmzZ3t14HQqU79vUOPka9R35nHJ+5RwV/uK60uu3VOjB4AQaOno1B986wdatn5r/wyd9mXXaKrvlZSUzJQyU0/XzqrFUO6ZsQCAIrV0dPav2hMNa7V5y3alzJRw19xFi6v255LoASAALR2dapfU07Wz6idYUaMHgIiKRI2erhsAqL5AE727b3X31U1NTUGGAQCxRtcNAMQciR4AYo5EDwAxR6IHgJgLRXulmR2X1JNzqUnScK04w12fJulElUIbq5HiD+o3S/1uMZ8v9JnR3i/1vbDd42rc33J/Nyr3eKTr3OOxfXeuu08v+E13D90/ktYVe13SnqDjLTb+oH6z1O8W8/lCnxnt/VLfC9s9rsb9rZd7PMp17nEVvxvW0s3WEq+HTTXiLOc3S/1uMZ8v9JnR3h/re2FRrRjr4R5H4f5K8bjH/UJRuimHme3xInaGIbq4x/HHPa6usK7oS7Eu6ABQddzj+OMeV1HkV/QAgNHFYUUPABgFiR4AYo5EDwAxF7tEb2ZTzOy7ZvYdM7s16HhQeWbWYmb3mdkPgo4F1WFmKzN/hx8ys+uCjifqIpHozex+MztmZs8Pur7UzF40s24zuydz+QZJP3D3OyStqHmwGJNS7rG7H3L324OJFGNV4j3elPk7vEbSx4OIN04ikeglrZe0NPeCmTVI+oakZZLmSVplZvMkzZb0cuZjyRrGiPKsV/H3GNG0XqXf489m3kcZIpHo3f0JSScHXb5SUndmdfe2pAcltUs6qnSylyLy74eS7zEiqJR7bGlflLTN3ffWOta4iXIiPF8DK3cpneDPl/RDSTea2TcVne3WGN6w99jM3m1m35J0uZl9JpjQUCEj/T2+S9JHJN1kZmuCCCxOGoMOoNLc/bSkPwk6DlSPu/9a6dotYsrdvybpa0HHERdRXtG/ImlOzuvZmWuID+5x/HGPayDKiX63pAvN7AIzGy/pZklbAo4JlcU9jj/ucQ1EItGb2UZJT0q6yMyOmtnt7t4n6U5J2yUdkPSwu78QZJwYO+5x/HGPg8NQMwCIuUis6AEAY0eiB4CYI9EDQMyR6AEg5kj0ABBzJHoAiDkSPQDEHIkeAGKORA8AMff/4EErXFWXMSwAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X148906.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X154360.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X148903.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X142474.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " plt.plot(t0, r0, '-')\n", + " plt.plot(tc, rc, '.')\n", + " plt.xscale('log')\n", + " plt.yscale('log')\n", + " plt.grid(True, axis='y')\n", + " # plt.axis([min(t0),max(t0),-1,1])\n", + " # plt.axis([240,330,-1,1])\n", + "\n", + " # plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2021-05-07.ipynb b/calib_cernox_2021-05-07.ipynb new file mode 100644 index 0000000..f40dbf0 --- /dev/null +++ b/calib_cernox_2021-05-07.ipynb @@ -0,0 +1,401 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run.\n", + "\n", + "See also http://samenv.psi.ch:8080/sample_environment/83" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p2_c2.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p2_c5.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p2_c6.dat')\n", + "{'selected': 20, 'averaged': 42}\n", + "ERROR: data for X163062 is not monotonic\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X161269', 'CX-1050-CU-HT-1.4M'),\n", + " Sensor(2, 'X163059', 'CX-1050-CU-HT'),\n", + " Sensor(4, 'X163060', 'CX-1050-CU-HT'),\n", + " Sensor(5, 'X163061', 'CX-1050-CU-HT'),\n", + " Sensor(6, 'X163062', 'CX-1050-CU-HT'),\n", + " ],\n", + " #t_points = (1.0, 1.2) + logrange(1.4, 310, n=194) + (330,), # the points to be used in the cal file\n", + " t_points = (1.38, 1.42, 1.51) + logrange(1.55, 288, n=57) + (302,310), # the points to be used in the cal file\n", + " caldate = '2021-05-04', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-05-04/X161269.340')\n", + "('z340', 'READ lakeshore/X161269.340')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors\n", + "if True: # set to True when known sensors are measured\n", + " plt.figure(figsize=(10, 6))\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " testlist = [('X161269', 'z340')]\n", + " for sensno, kind in testlist:\n", + " r0, t0 = read_curve('%s/%s.340' % (run.outputoptions['caldate'], sensno), 'z340')\n", + " r1, t1 = read_curve('lakeshore/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + " plt.xscale('log')\n", + " plt.yscale('symlog',linthreshy=dmax)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([1.0,350,-1,1])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-05-04/X161269.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-05-04/X163059.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-05-04/X163060.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-05-04/X163061.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-05-04_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-05-04/X163062.340')\n", + "('ERROR:', IOError(2, 'No such file or directory'))\n" + ] + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " try:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " # plt.axis([240,330,-1,1])\n", + "\n", + " # plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()\n", + " except Exception as e:\n", + " print('ERROR:', e)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "if False:\n", + " for sensor in run.sensors[4:]:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " plt.plot(t0, r0, '.')\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " plt.plot(tc, rc, '-')\n", + " plt.xscale('log')\n", + " plt.yscale('log')\n", + " plt.grid(True, axis='y')\n", + " plt.axis([20,330,80,300])\n", + "\n", + " # plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/calib_cernox_2022-003-08.ipynb b/calib_cernox_2022-003-08.ipynb new file mode 100644 index 0000000..0976aa9 --- /dev/null +++ b/calib_cernox_2022-003-08.ipynb @@ -0,0 +1,483 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 62}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X161269', 'CX-1050-CU'),\n", + " Sensor(4, 'X163062', 'CX-1050-CU'),\n", + " ],\n", + " t_points = (1.0, 1.2) + logrange(1.4, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2022-03-08', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2022-03-08/X161269.340')\n", + "('z340', 'READ ../tcl/calcurves/X161269.340')\n", + "('z340', 'READ 2022-03-08/X163062.340')\n", + "('z340', 'READ ../tcl/calcurves/X163062.340')\n", + "(106.9606417567978, 178.166, 213.11672914630574, 0.19616946637577173)\n", + "(109.54939917249371, 173.2998, 250.06021465453486, 0.44293423682274796)\n", + "(112.19461174307791, 168.5665, 218.7291728866863, 0.29758387868696523)\n", + "(114.89681764977057, 163.9624, 106.58110492804356, -0.34996618170968735)\n", + "(117.65679122773477, 159.4842, 34.2654057152976, -0.7851485870368501)\n", + "(120.47390842786656, 155.1282, 79.43411773164775, -0.48794533984376953)\n", + "(126.28215950654182, 146.7699, 65.81136705382042, -0.5516017449502901)\n", + "(129.2736466821245, 142.7612, 60.11085138326901, -0.5789412572654965)\n", + "(135.43471556792514, 135.0693, 47.53890684517614, -0.6480406217758132)\n", + "(138.60471366473823, 131.3801, 104.05673424645977, -0.2079718751434976)\n", + "(141.8335587736692, 127.7918, 259.22724513812494, 1.0285123547686545)\n", + "(145.12057817753117, 124.3014, 26.29540374655533, -0.7884544844502529)\n", + "(148.46770660710757, 120.9064, 29.020039578113032, -0.7599792932540128)\n", + "(155.3652899939468, 114.392, 68.88701271702354, -0.3977986859481123)\n", + "(158.92674915736464, 111.2676, 31.927742091615546, -0.7130544552806428)\n", + "(162.56273599018843, 108.2285, 121.18031284037167, 0.11967100015588937)\n", + "(166.269656665291, 105.2725, 120.37774034424727, 0.14348704879476862)\n", + "(170.04309457814682, 102.3972, 5.944869479008909, -0.9419430464992313)\n", + "(173.881749032887, 99.60045, 0.8091122980418981, -0.9918764192527052)\n", + "(177.78699932105118, 96.88007, 7.470665900848824, -0.9228874844862434)\n", + "(181.7619611723602, 94.234, 872.9700313250054, 8.263854143143721)\n", + "(185.8086808233549, 91.66019, 172.42968476699946, 0.8811840207509876)\n", + "(189.92931416236428, 89.15669, 27.785339128632813, -0.6883538506349572)\n", + "(194.1243434915129, 86.72156, 121.92096132862544, 0.40588985401814087)\n", + "(198.3960402951603, 84.35294, 53.537609577654884, -0.3653142430168423)\n", + "(202.74539557386922, 82.04902, 27.665201266536936, -0.6628210639622881)\n", + "(211.68447114658778, 77.62824, 39.20209542371122, -0.4950021355152298)\n", + "(216.2773302698515, 75.50799, 29.475296125086306, -0.6096400377617481)\n", + "(225.7158205025115, 71.43963, 42.01262118743896, -0.41191435079606425)\n", + "(230.5632047196252, 69.48841, 14.665940831557512, -0.7889440723775732)\n", + "(235.49842123785174, 67.59048, 9.832505076055467, -0.8545282549250209)\n", + "(240.52210718976625, 65.74439, 15.410473265566749, -0.7656001787290634)\n", + "(245.63485941569877, 63.94872, 51.635275415133854, -0.19255185381139991)\n", + "(250.8378097648446, 62.2021, 54.904668312856046, -0.1173180919477631)\n", + "(256.1326837215261, 60.50318, 19.26940786872846, -0.6815141308485196)\n", + "(261.51945348588794, 58.85066, 11.424254899036129, -0.8058772000341861)\n", + "(267.0004541062212, 57.24328, 12.215124153131544, -0.7866103383116492)\n", + "(272.57561459962585, 55.6798, 15.99381459149707, -0.7127537349003217)\n", + "(278.2466857037919, 54.15902, 18.231111530760753, -0.6633781126253622)\n", + "(284.01481850403655, 52.67978, 17.476112175146092, -0.6682576849192216)\n", + "(289.88049883915926, 51.24095, 15.700469482586684, -0.6935952693580684)\n", + "(295.8448407498338, 49.84141, 14.571348218597397, -0.7076457464065041)\n", + "(301.9089585205724, 48.4801, 14.166308279722626, -0.707791273538573)\n", + "(308.07396634261295, 47.15596, 14.036736563272994, -0.702333775767199)\n", + "(314.340254173901, 45.868, 13.81835517607771, -0.6987364791122851)\n", + "(320.71036790454275, 44.61521, 13.437459822123422, -0.6988143769328123)\n", + "(327.18395661645906, 43.39664, 12.993613289523013, -0.700584808189689)\n", + "(333.76208517118164, 42.21135, 12.57587847359243, -0.7020735306122067)\n", + "(340.4465989900902, 41.05844, 12.21570962879201, -0.7024799376500419)\n", + "(347.2378032050953, 39.93701, 11.89258020520394, -0.7022165603983889)\n", + "(354.1367521667284, 38.84622, 11.586160984924618, -0.701742898410074)\n", + "(361.14449565990384, 37.78522, 11.283734158213429, -0.7013717491068353)\n", + "(368.26292643698036, 36.75319, 10.98555028272141, -0.7010994070794558)\n", + "(375.49226921174846, 35.74936, 10.693444992837609, -0.7008773026191907)\n", + "(382.83708432739576, 34.77294, 10.408943263022213, -0.7006596720604523)\n", + "(390.29770717292524, 33.82319, 10.13424642122957, -0.7003757947955361)\n", + "(397.87715144482166, 32.89938, 9.87151639296473, -0.6999482545578449)\n", + "(405.5785703386686, 32.0008, 9.622607408478368, -0.699301035959152)\n", + "(413.40430989714173, 31.12677, 9.387787321978951, -0.6984014942128929)\n", + "(421.35679310515883, 30.27661, 9.164964443983473, -0.697292251543899)\n", + "(429.44050019312516, 29.44966, 8.951974939387222, -0.6960245062460069)\n", + "(437.6581296021079, 28.64531, 8.746908581798838, -0.6946477946372779)\n", + "(446.0124687056897, 27.86292, 8.547942566164162, -0.6932144022893449)\n", + "(454.5074434087937, 27.10191, 8.353308727038542, -0.6917815487159931)\n", + "(463.14608789308176, 26.36167, 8.161426394341834, -0.6904055625329566)\n", + "(471.93262344369595, 25.64166, 7.970948352547351, -0.6891407049096138)\n", + "(480.8703503075437, 24.94131, 7.782731414424113, -0.6879581940794565)\n", + "(489.9615501474853, 24.26009, 7.5994537456013385, -0.6867508016004336)\n", + "(499.20968228957383, 23.59748, 7.423566449059485, -0.6854085076432108)\n", + "(508.619492262742, 22.95297, 7.257075056782546, -0.6838284955375036)\n", + "(518.1959328163927, 22.32605, 7.099697969145973, -0.6819993698327302)\n", + "(527.945387583412, 21.71626, 6.949758290820411, -0.679974438930994)\n", + "(537.8733167648923, 21.12313, 6.805711397049237, -0.6778076261875376)\n", + "(547.9841537246775, 20.5462, 6.666164746591532, -0.6755524259185868)\n", + "(558.2863377119871, 19.98502, 6.530289431513577, -0.6732407857728651)\n", + "(568.7848236428206, 19.43917, 6.39805122241777, -0.6708680863217015)\n", + "(579.4874034914161, 18.90823, 6.26943174028229, -0.66842841766351)\n", + "(590.4036041544978, 18.39179, 6.144395766844579, -0.6659163807957476)\n", + "(601.5434468527084, 17.88946, 6.022887382462091, -0.663327602819644)\n", + "(612.9160583773069, 17.40085, 5.904746679253265, -0.6606633193635216)\n", + "(624.5324374219396, 16.92558, 5.789766891946389, -0.6579280064880265)\n", + "(636.4012148261739, 16.46329, 5.677781156841228, -0.6551247559363148)\n", + "(648.5373609742134, 16.01363, 5.568579128891649, -0.6522600354265928)\n", + "(660.9490763318921, 15.57626, 5.462046171109686, -0.6493351952837404)\n", + "(673.6510638967947, 15.15082, 5.358059562399547, -0.6463518435042099)\n", + "(686.6588154812781, 14.73701, 5.256509372426493, -0.6433123562767147)\n", + "(699.9822058255919, 14.3345, 5.15734013676869, -0.6402148566905933)\n", + "(713.6413399675084, 13.94298, 5.060429773875157, -0.6370625380029838)\n", + "(727.6491058295712, 13.56216, 4.965714246343661, -0.6338552084370291)\n", + "(742.0223729055967, 13.19174, 4.873103186986181, -0.6305943577582501)\n", + "(756.7719039536884, 12.83143, 4.782553173072509, -0.627278239987865)\n", + "(771.9123689095481, 12.48097, 4.694001044333694, -0.6239073530075231)\n", + "(787.4572756828293, 12.14008, 4.607395649288033, -0.6204806188025093)\n", + "(803.4243683290259, 11.8085, 4.522656147305347, -0.6169999451831014)\n", + "(819.8284777590374, 11.48597, 4.4397142863333885, -0.6134663170517258)\n", + "(836.6888857020122, 11.17226, 4.358485465835384, -0.6098832764511939)\n", + "(854.0277844374699, 10.86711, 4.278880239540542, -0.6062540786335519)\n", + "(871.8745483906489, 10.5703, 4.2007892652705205, -0.6025856158036649)\n", + "(890.2561858385483, 10.28159, 4.124143929518755, -0.5988807247207139)\n", + "(909.2053865073127, 10.00077, 4.048876405454923, -0.5951435334024356)\n", + "(928.7525089890632, 9.727624, 3.9749405949355086, -0.5913760035404834)\n", + "(948.9296135200868, 9.461935, 3.902293987755088, -0.5875797088275191)\n", + "(969.7683364024988, 9.203502, 3.830905015549617, -0.5837557252065989)\n", + "(991.2951925488409, 8.952128, 3.760767362006892, -0.57990241403978)\n", + "(1013.544917073896, 8.707619, 3.6918541251918566, -0.5760202501749495)\n", + "(1036.547002320081, 8.469789, 3.6241611338471156, -0.5721072704589081)\n", + "(1060.3347631112508, 8.238455, 3.557677263748145, -0.5681620809061717)\n", + "(1084.9431945708939, 8.013439, 3.49239132045055, -0.5641832026860689)\n", + "(1110.4141823241623, 7.794568, 3.428274039797016, -0.5601713860476918)\n", + "(1136.784124706771, 7.581676, 3.365312628136329, -0.5561255020477888)\n", + "(1164.0992247266765, 7.374599, 3.3034761784924718, -0.5520466701318306)\n", + "(1192.4055808328253, 7.173177, 3.2427412756439167, -0.5479351372977529)\n", + "(1221.7490218559558, 6.977257, 3.1830908529089097, -0.5437905106678872)\n", + "(1252.1806836471449, 6.786688, 3.1245010987448065, -0.5396132695734935)\n", + "(1283.7575181532318, 6.601324, 3.066942960458726, -0.5354048732559217)\n", + "(1316.53679070864, 6.421023, 3.01039384733579, -0.5311660077629702)\n", + "(1350.58213271214, 6.245646, 2.954826896941466, -0.5268981147920542)\n", + "(1385.9705429683631, 6.075059, 2.9002021285997777, -0.52260510908622)\n", + "(1422.777537428745, 5.909132, 2.846492136408196, -0.5182892958884323)\n", + "(1461.0934707212923, 5.747736, 2.793657663586502, -0.5139551184002706)\n", + "(1501.0079760443634, 5.590749, 2.741671150525829, -0.5096057521942357)\n", + "(1542.6237023688443, 5.43805, 2.690498212554355, -0.5052457751299905)\n", + "(1586.0285472261328, 5.289521, 2.6401318325108543, -0.5008750636379259)\n", + "(1631.3006153171386, 5.145049, 2.5905810344843294, -0.49649050291176444)\n", + "(1678.5257187766367, 5.004522, 2.5418486281952486, -0.492089628500934)\n", + "(1727.790174681757, 4.867834, 2.4939392160857956, -0.4876696255283571)\n", + "(1779.2050394228281, 4.73488, 2.4468368789023534, -0.4832314907870203)\n", + "(1832.8883043654953, 4.605557, 2.400526421605706, -0.47877609122942)\n", + "(1888.9740857007976, 4.479766, 2.3549879230215454, -0.4743055947517023)\n", + "(1947.5965654304398, 4.35741, 2.3102093146088984, -0.46982053224073506)\n", + "(2008.9077768436412, 4.238397, 2.2661719976065746, -0.46532332917219066)\n", + "(2073.0653846834894, 4.122634, 2.222861205891689, -0.4608152928706043)\n", + "(2140.242579649755, 4.010033, 2.1802620648631796, -0.4562982237644479)\n", + "(2210.6296974069924, 3.900507, 2.1383617297972957, -0.4517733900240929)\n", + "(2284.4360236061116, 3.793973, 2.097145805827313, -0.4472428228067745)\n", + "(2361.880931901753, 3.690349, 2.0566038187888513, -0.4427075003505491)\n", + "(2443.1998891047324, 3.589555, 2.01672604205984, -0.4381682291927997)\n", + "(2528.6574459454228, 3.491514, 1.977498668290237, -0.4336271691047961)\n", + "(2618.532689740033, 3.39615, 1.9389119724972903, -0.42908529585051003)\n", + "(2713.132476768282, 3.303392, 1.9009546236479742, -0.42454464270423425)\n", + "(2812.7750427921524, 3.213166, 1.8636210155094823, -0.420004750607506)\n", + "(2917.8166622085696, 3.125406, 1.82690130154619, -0.41546752596424597)\n", + "(3028.628466316469, 3.040042, 1.7907907550346913, -0.4109322321748544)\n", + "(3145.625378514024, 2.957009, 1.7552805509070788, -0.4063999971230799)\n", + "(3269.226420164485, 2.876245, 1.7203707571691826, -0.4018691880666693)\n", + "(3399.9067052669234, 2.797686, 1.68605501117084, -0.39733944010484384)\n", + "(3538.1806251560724, 2.721273, 1.6523278704377036, -0.3928106917469495)\n", + "(3684.5885654310355, 2.646948, 1.6191887126549747, -0.3882808756896718)\n", + "(3839.723926353774, 2.574652, 1.5866348858663515, -0.3837478284962972)\n", + "(4004.2298609932514, 2.504331, 1.5546636542888974, -0.37920999488929485)\n", + "(4178.803983204483, 2.43593, 1.523272395420811, -0.37466495530626454)\n", + "(4364.17342097778, 2.369398, 1.4924645479445353, -0.3701081253784567)\n", + "(4561.1567753726185, 2.304683, 1.4622372479048151, -0.36553649768544516)\n", + "(4770.621927278813, 2.241735, 1.4325892830050662, -0.36094619435166675)\n", + "(4993.510874639158, 2.180507, 1.4035187474024062, -0.3563337575149237)\n", + "(5230.870880764615, 2.120951, 1.3750131170319788, -0.3516997247781873)\n", + "(5483.880721613951, 2.063022, 1.3467673420472936, -0.3471871157712843)\n", + "(5753.856149250909, 2.006675, 1.3186254058187201, -0.34288043364335524)\n", + "(6042.212569408162, 1.951866, 1.2905935005022062, -0.33878990642687246)\n", + "(6350.559655064113, 1.898555, 1.2626732154689295, -0.3349293460189831)\n", + "(6680.638930367525, 1.8467, 1.2348695696714116, -0.33131013717906993)\n", + "(7034.382828447838, 1.796262, 1.2071870343782263, -0.3279449020364366)\n", + "(7413.938855851158, 1.747201, 1.1796296408295486, -0.3248460590226605)\n", + "(7821.697214858729, 1.699479, 1.1522010846428457, -0.32202687727071316)\n", + "(8260.265375199966, 1.653062, 1.1249082413283589, -0.31950027202345777)\n", + "(8732.568479588233, 1.607912, 1.097756408648412, -0.31727830338450613)\n", + "(9241.958201321704, 1.563995, 1.0707462909410215, -0.3153774206816381)\n", + "(9792.19379711283, 1.521278, 1.043878860070456, -0.3138145295794351)\n", + "(10387.403448039275, 1.479727, 1.017159554477244, -0.3126032339227141)\n", + "(11032.349204190787, 1.439312, 0.9905887987754469, -0.3117622872765273)\n", + "(11733.268256090052, 1.4, 0.9641364118714606, -0.3113311343775281)\n", + "(16898.41610758743, 1.2, 0.8213390500515669, -0.3155507916236942)\n", + "(26617.606475286462, 1.0, 0.6726896920393037, -0.32731030796069627)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X161269', 'z340'),('X163062', 'z340'),)\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2022-03-08/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('../tcl/calcurves/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2022-03-08/X161269.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2022-03-08/X163062.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-03-08_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2022-02-22.ipynb b/calib_cernox_2022-02-22.ipynb new file mode 100644 index 0000000..1aeb42c --- /dev/null +++ b/calib_cernox_2022-02-22.ipynb @@ -0,0 +1,397 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c2.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c4.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c5.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 62}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X174787', 'CX-1050-CU'),\n", + " Sensor(2, 'X174783', 'CX-1050-CU'),\n", + " Sensor(4, 'X174786', 'CX-1050-CU'),\n", + " Sensor(5, 'X174782', 'CX-1050-CU'),\n", + " Sensor(6, 'X174785', 'CX-1050-CU'),\n", + " ],\n", + " t_points = (1.0, 1.2) + logrange(1.4, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2022-02-21', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('z340', 'READ 2018-11-20/X133982.340')\n", + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('z340', 'READ 2018-11-20/X133928.340')\n", + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('z340', 'READ 2018-11-20/X131824.340')\n", + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('z340', 'READ 2018-11-20/X132254.340')\n", + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('z340', 'READ 2018-11-20/X137461.340')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2018-11-22/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2018-11-20/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2022-02-21/X174787.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2022-02-21/X174783.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2022-02-21/X174786.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2022-02-21/X174782.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2022-02-21/X174785.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2022-02-21_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2023-06-16.ipynb b/calib_cernox_2023-06-16.ipynb new file mode 100644 index 0000000..57d4880 --- /dev/null +++ b/calib_cernox_2023-06-16.ipynb @@ -0,0 +1,413 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c1.dat')\n", + "{'selected': 7, 'averaged': 53}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c2.dat')\n", + "{'selected': 7, 'averaged': 53}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c4.dat')\n", + "{'selected': 6, 'averaged': 54}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c5.dat')\n", + "{'selected': 7, 'averaged': 53}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c6.dat')\n", + "{'selected': 6, 'averaged': 54}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X200047', 'CX-1070-SD'),\n", + " Sensor(2, 'X200044', 'CX-1070-SD'),\n", + " Sensor(4, 'X200038', 'CX-1070-SD'),\n", + " Sensor(5, 'X200048', 'CX-1070-SD'),\n", + " Sensor(6, 'X200037', 'CX-1070-SD'),\n", + " ],\n", + " t_points = (1.4, 1.6) + logrange(1.8, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2023-06-16', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('z340', 'READ 2018-11-20/X133982.340')\n", + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('z340', 'READ 2018-11-20/X133928.340')\n", + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('z340', 'READ 2018-11-20/X131824.340')\n", + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('z340', 'READ 2018-11-20/X132254.340')\n", + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('z340', 'READ 2018-11-20/X137461.340')\n" + ] + }, + { + "ename": "IOError", + "evalue": "[Errno 2] No such file or directory: '2018-11-20/X137461.340'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mIOError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtestlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-22/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-20/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompare_calib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdiff\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/home/l_samenv/sea/calib_scripts/zcalib.py\u001b[0m in \u001b[0;36mread_curve\u001b[0;34m(filename, kind, instance, **filterargs)\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"READ %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 121\u001b[0m \u001b[0mcurves\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mIOError\u001b[0m: [Errno 2] No such file or directory: '2018-11-20/X137461.340'" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2018-11-22/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2018-11-20/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-16/X200047.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-16/X200044.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-16/X200038.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAECCAYAAADkaECYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAIABJREFUeJzt3Xd8VFX+//HXmZ6ekB4ChBKpAlJFQLEhiIpdUdcCirqiX3+6+MWy1a/irrruKrouomIFRRRRUQQVsSBSBKQTQklISO/J9PP7Y4aQhAkJYUICfp6PRx5hzm0nyXDfc+4591yltUYIIYRoyNDWFRBCCNE+SUAIIYQISAJCCCFEQBIQQgghApKAEEIIEZAEhBBCiIAkIIQQQgQkASGEECIgU1tX4BClVBjwEuAEVmit32njKgkhxG9aq7YglFKvKaXylVKbG5SPU0rtUEplKKVm+IuvBD7QWt8BXNaa9RJCCNG01r7ENBcYV7dAKWUEXgTGA32ASUqpPkAqkOVfzdPK9RJCCNGEVg0IrfVKoLhB8TAgQ2udqbV2AvOBiUA2vpBo9XoJIYRoWlv0QXTkcEsBfMEwHHgemKWUmgB80tjGSqmpwHQg2mKxxKWlpbViVYUQ4tSzc+fOQq11fFPrtZtOaq11FXBbM9abDcwGGDJkiF67dm1rV00IIU4pSql9zVmvLS7lHAA61Xmd6i8TQgjRjrRFQKwB0pVSXZVSFuB6YHEb1EMIIcRRtPYw13nAKqCnUipbKTVFa+0GpgFLgW3A+1rrLa1ZDyGEEMeuVfsgtNaTGilfAixpzWMLIYQ4PjKcVAghREASEEIIIQKSgBBCCBGQBIQQQoiAJCCEEEIEJAEhhBAiIAkIIYQQAUlACCGECEgCQgghREASEEIIIQKSgBBCCBGQBIQQQoiAJCCEEEIEJAEhhBAiIAkIIYQQAUlACCGECKhdBYRSqptS6lWl1AdtXRchhPitC1pAKKVeU0rlK6U2Nygfp5TaoZTKUErNONo+tNaZWuspwaqTEEKIlgvmI0fnArOANw8VKKWMwIvAhUA2sEYptRgwAjMbbD9Za50fxPoIIYQ4DkELCK31SqVUWoPiYUCG1joTQCk1H5iotZ4JXBKsYwshhAi+YLYgAukIZNV5nQ0Mb2xlpVQs8ARwhlLqYX+QNFxnKjAdiI6OjmbFihXBrbEQQgig9QPimGiti4C7mlhnNjAbYMiQIXrMmDEnoGZCCPHb09qjmA4Aneq8TvWXCSGEaOdaOyDWAOlKqa5KKQtwPbC4lY8phBAiCII5zHUesAroqZTKVkpN0Vq7gWnAUmAb8L7WekuwjimEEKL1BHMU06RGypcAS4J1HCGEECdGu7qTWgghRPshASGEECIgCQghhBABSUAIIYQISAJCCCFEQBIQQgghApKAEEIIEZAEhBBCiIAkIIQQQgQkASGEECIgCQghhBABSUAIIYQISAJCCCFEQBIQQgghApKAEEIIEZAEhBBCiIAkIIQQQgQUtCfKBYNS6nJgAhAJvKq1/rKNqySEEL9ZwXwm9WtKqXyl1OYG5eOUUjuUUhlKqRlH24fWepHW+g7gLuC6YNVNCCHEsQtmC2IuMAt481CBUsoIvAhcCGQDa5RSiwEjMLPB9pO11vn+fz/m304IIUQbCVpAaK1XKqXSGhQPAzK01pkASqn5wESt9Uzgkob7UEop4Cngc631+kDHUUpNBaYD0dHR0axYsSJYP4IQQog6WrsPoiOQVed1NjD8KOvfC1wARCmlemitX264gtZ6NjAbYMiQIXrMmDHBq60QQoha7aqTWmv9PPB8W9dDCCFE6w9zPQB0qvM61V8mhBCinWvtgFgDpCuluiqlLMD1wOJWPqYQQoggCOYw13nAKqCnUipbKTVFa+0GpgFLgW3A+1rrLcE6phBCiNYTzFFMkxopXwIsCdZxhBBCnBgy1YYQQoiAJCCEEEIEJAEhhBAiIAkIIYQQAUlACCGECEgCQgghREASEEIIcSzs5bDlI/C427omrU4CQgghmitnA/z3bFhwK/w8u61r0+okIIQQojncDnj7KvA4IWUQfPsUVBe3da1alQSEEEI0x84voLoQLnseJr4IjgpY8VRb16pVSUAIIURzbJgHEcnQ7VxI7AO9JsCOz9u6Vq1KAkIIIZpSmQ+7voT+14LB6CuLSYOqfNC6TavWmiQghBCiKVs+Au2BATccLgtPBLcdHOVtV69WJgEhhBBNObjJFwgJvQ6XhSf6vlfmt02dTgAJCCGEaErJPojpWr8sPMH3vTLvxNfnBJGAEEKIppTs9fU51FXbgpCAOCGUUr2VUi8rpT5QSt3d1vURQgjcTijLPkpAyCWmJimlXlNK5SulNjcoH6eU2qGUylBKzTjaPrTW27TWdwHXAiODVTchhGixsixAHxkQtmgwmGtbEF6v5qY5q3lyybYTXsXWErRHjgJzgVnAm4cKlFJG4EXgQiAbWKOUWgwYgZkNtp+stc5XSl0G3A281dQBT+HRZUKI9qJkj+97w4AwGCAsvrYFsXB9Nt9nFFLj8pzY+rUipYN4llVKpQGfaq37+V+PAP6itb7I//phAK11w3AItK/PtNYTjrZOj4hovfzyy1DHW3EhhGhMRS4U7YZOw8Boqb8sdwMYzLjj+7AxqxSXx4vNbGRgp+i2qWsjIi+5hJjrrq19rZRap7Ue0tR2wWxBBNIRyKrzOhsY3tjKSqkxwJWAFVjSyDpTgelAdC9bCFn5JURaJCKEEK3DVlOGVRkoq6gGqustC/MqlLuG7AJfOISYFA63h9LS0rapbACm7GxKS0vZmJhw7Nu2Qn1aTGu9AljRxDqzgdnga0E8efFDLLlvFEpJSAghWsH8G6FwF0xbfOSyj6fBri9ZcsY/eXbZTh688DSeXbaTLX+9iDBr+zi97vvdzQAMGDPmmLdt7VFMB4BOdV6n+suCwmI0sC23nBU7CoK1SyGEqK9k35H9D4eEJ0JVAVV2B1aTgZToEAAKKhwnrn6tqLUDYg2QrpTqqpSyANcDAWK4ZYxGRcfoEGZ9k0Ew+1KEEALwjYQJdA/EIeGJoL14q4qJsJmIj7ACUFApAVGPUmoesAroqZTKVkpN0Vq7gWnAUmAb8L7WekvQjgnceU431u0rYfWeU3tediFEG6guBmfFUQLCd13fWJ1PmNVEXLgvIAqlBVGf1nqS1jpZa23WWqdqrV/1ly/RWp+mte6utX4iWMc75NohnYgLt/LiNxnB3rUQ4reu8qDve0RS4OX+m+XMNQWEW6UF0e7YzEZuH92V73YVsjGr/YwcEEKcAmr855SQRoat+lsQFnsh4VYTHcIsGFSDPojCDN/DhU5CJ31AANw4vDORNhMvrZBWhBAiiOyHAiIm8PKweABsTl8fhNGgiA23Hg4IreHVC+CbJ09AZYPvlAiICJuZW0d2ZemWPHblnZxJLYRohw61IGyNtCDMoQAodw3h/mGt8XUDwlEBNSWw78fWrmmrOCUCAuC2s9IItRh5acXutq6KEOJUUVPi+97YJSajCQwmlNtOuM0fEBHWw30QVf4h+HmbwVkdeB/t2CkTEDFhFm4Y1pnFG3PYX3Ty/SGEEO2QvRRQYI1qfB1TCMpjJ9xqBnwBUTuK6dBMr1435G5s3bo2ZC+DhXeAx9XiXZwyAQFwx9ndMCrFf1dKK0IIEQQ1pWCL8k3M1whtsmLxOgm3+p5VHRfua0ForX3PrD4ke01r17a+zBXw6/vH9UjUUyogEiNtXD0klQVrs8krt7d1dYQQJzt7aeOXl/y8Jhs25TzcBxFhxeXRlNW4DrcgrFEnPiAOtVi0t8W7OKUCAuCus7vj0Zo532W2dVWEECe7mtLGO6j9vAYrVlyE2w5fYgL/UNfKfEBBj/Mge21r17a+nA2+78cxy8QpFxCdY0O5bEAK76zeT0mVs62rI4Q4mdWUNNmCcButWHHWG8UE/oCoyofQWOg8AipyoCxoU9EdndbYczfyTmQ4Ht3y51OccgEBcPeY7lQ7Pbz+4962rooQ4mRmL238Hgg/t/K1ICL8o5g6hPmeGVFc7YTKAt/NdB26+1Yuy27V6tYqz+F5m5unYjtQ4alp8W5OyYA4LTGCsX0SmfvDHg6WSV+EEKKFmnGJyW2w1uuDODTctcrh9rUgwuIhLM63ctWJeX71mh0f8nZkBABe6YM40oNje+LVcP3sVRISQohjp3WzOqmdyowNZ+3zHw4FRYXd7euDCE+onZKj9r6IVvZ0xgLCvb6+By0BcaSeSRG8MXkYhZVOCQkhxLFzVvruX2iiBeHAUu8S06GAqHS4fYEQlgCh/hZEZesHRLG9mG2uEsZ7fJ3mXumkDmxwlxgJCSFEy9Q0MQ+TnwMLtjqd1EaDIsxixFFVDq5qCI8Hk8UXNHVaEGv3FnPfvF8oCvLMr+vy1gFwVmQ3QFoQRyUhIYRoEXsTM7keWk2bsSknoRZjbVm4zYQ6FAZh/stL4Qn1+iBmfZPB4o05XDf7p6Cel9bkrCLE62Vg3AAAvEgL4qgkJIQQx6ypifr8qrUFm3KhlKotC7eaMNT4A+JQ/0NYPFQVUmwvZurSu1nj+CtpPT8jt6ycxxb9GrRqr81ZzRl2B6FxpwHSgmgWX0gMlZAQQjRPM1sQNV4TNurPdxRuM2M5FBD+KcEJi8ddmcdD3z7Ez3mr8XrNFBu+p0vvRXy9/WBQzkkl9hJ2Ve5niN2BJb4XAPo324Jw1cCGeeBq3i92cJcO9UIi2Nf+hPgt8ng9/JjzI3b3qfWhq7oqj0yziSqT5ajrVXnNWHHWu2M5wmrC5ijyvajTgnhZlbP64GqSXTeSXHM/04dOJ8vxM6bYr1i4vul7JLTWuL3uRpevzfPdrT3UbscYm45R/6Y7qTUsugv+2QuWPgpFTU/SN7hLB16/bSh7i6r5YN0JumkliKqdbmav3M33uwpxuo/edPRqL0v3LmXBzgX8nPvzcY2Hbm1zf17H5LeeZ+rsx1i79wTdbRpIxlew6B5483I4sD5ou7W77ewo3oHH2/K7Wtuj7IpsJi+dzJ3L7mTaV9Oocbf8pqwTomAHrHkVvn36qOeLnMocLt/xKhNTUxix5DqeX/+8b/K9AKq8vs5p3Ic/cIZbTYQ4i30v/C2IwpAI3gizcEHqWHZk9OKS05P5XZ/fMb7reGxxK5m/fjNeb+Mnc601j//0OMPeGcaUpVP48cCRz5hYuGshHZSZvpZYsIZj8W/XUqYWb9kemEPh5g9h7auw+mVYNQu6nwdDpsBp43xztQcwNK0D6QnhfJ9RyJ3ndD/BlT5sQ1Ypjy36lY5FPzHamsGEc84ipv/FvlEPAWit+d+Fv/LJxhwA0hPC+XjaSEItR/6cGSUZPPbDY2wp2lJb1rtDbx4c8iDDk4e3zg/UAsU1xdz56V/ZUfU1WgFW2PzVp0we9DC3n3HdMe2rwu5i7d4SSmucGJSiTG2k1JOJR7u4rPtldI9u4m+9/yd491o8lgjsbo3pjSvhts+xJvdu8c9X7armL6v+wrJ9y3B73fSM6cmjZz7KGQlnNGt7r/Yyb/s8PtuxkJyS3Qx3W7i7w0jSLpsJ5pAW1ysYnB4nU5dNpcRewg2pFzA/+2v+56t7+e/YV+pdj28X9q+GFTMh85vDZd/8H4z+A5z/R98qRdU88P4G+nRS/Oz4G5UeB38qLGHd0Jt45ddXyKnK4YmRT2A0GOvtusJ9KCBqwGwDfJ3UoW7/TXZG33DTt2r24lCKS2Iv5iNtp19H3xTi9w68l6V7lpJv+JzVe0YzontswB9hzq9zWLBzAWennk1maSb3fHUPM8+eybi0cQBsL97ODwd+4D5POObYFADMqOPqpD65AwKg2zm+r4qDsP5NWDcX3rsRIjvCwBuh85mQcgaEdqi32aj0ON5dvR+7y4PNbDxit2X5Wwjf/BHG/G2+sOl7BVjDg1btxRtzeHLBSv5teZlB/ILbqQj5cj7eFY9gGDMDzvw9NHgjvvr9Hj7ZmMW1o5x075DKzMWFPPvlTv54SZ9662WWZTLlyykAzBw9k8EJg1mTt4ZZv8zi9i9v55zUc7j99NsZED8Aj1fzyaYc3vlpP3sKqzAYFJcNSOHWs9Lo1CE0cOWrCn3fD90d2kJ7y/Zywye3U+3O48bycsZ3u4y8mkreKP6Bf2/6P/IcmcwY9tAR/yEb2n6wnH8t28XybXm4vRqDNRdb0kcYQ/cDoDDwxpY3mXL6ZKYNnBb45FVZAAtupdyazJia+zDEfMVo4wZS51/JOZd+xpAe3eqt7vX/3r7ckkeNy8PQtA7cNjKt3nupoLqA33/1e3aW7GRS10vp4lW8nvcDk5dO5vWLXmdgwsCj/lzlznIeWvkQPxz4gb52F/3cmi/CvKwpXcpTczIZdueio05D3Vyl9lK2Fm0lyhpF16iuhJpDsbs8uL26duhmIPO3zyerIov/2EMZtfM1ukaE8wSrWb58OheeN7P2xNimKvNh2Z9g4zw8ofFk9p+O7jORbkkdMC3/I3z3LKSP5RdO444311Ll8LDZ8zqW8DzejBzIwNxvuHr0TLpGdWXWhlnE2eL4w9A/1DtEhSdwC8LiqYLwSADKHGXML97EuKpqQip8J+yUaF/Ad4rsxKXdJ/KxXsybazYwott5sOEd2LwQ8rdBh+5s6TaC5/e+x4RuE5g5aiZVriru+eoeHvr2IXIrc7ml7y3M+XUOYeYwrss7CL19HwItKDQtv3Kgjqf5EWxKqXHAvwEjMEdr/dTR1u8fG6s3FRXVL/S4YecXvlbF7q8Pl0d3huSBkDIQkgeysqojN8/bzdtThjO8exQHqw6yq2QXn2cuZ13O9xS4SojweBnmhjsK8+lriYELH4f+10KdE4zW+pg/Lb2/NotZC5fxbujTLI20825sAiXaTXjh6TzrzGZozRroMhKunA1RqQDkltUw5rlFxHZdQAW7AAg3pJC/+1rev+1KBnfxjdXOLMvkjqV34NEe5o6bS1pUWu1xHR4H72x7hzmb5lDhqiDOlkRFeSwV1SHEWKPpFBWLyxXCtiwDeGK4fcRA7hrdC2Vwk1+TT0H+Fkp+eRNX1iriXE56hXci5tJZ0GXEMf38ANuLtvO7JZPBWc2c/AOcPvJhDGc/AFqT9c7dvFv8OW9HRTI+bTxPjn4Sk+HIE5XXq3nh6wz+9dVOwi0mJg3vjDnkS+ZlzSXMGMKFHa5ky76h/Jx1kJTuyyg3ruaPZ/6Ra3teG+CPcgve7Us4zzCZ0tRvsJgVYVgpdJcQ4TIzodtfmTHmEowGxdq9xTz+2TY2ZpWSEmUjzGpiV34lKVE2nrlmAGf1iKPSWcmtX9zC/rI9/LPazKjc7QCUGQxMSk2lJiSS+Zd9SGJYYsDfT5mjjKnLprKzeCcPFBQztCKKA+NexxunmfH9HfRzVPKA7WIG3PLvRn/H5XYXc37Yyq6DDoorPYRYjKREh9A3JZL0hHDK9TY+2PwCP5Vsw+P/lGnBhqf0AkoPnolRmRmdHscdo7sxskf9DwNljjIuXnA+/SrL+K8rEueZ92E0W7hy49PgrOZDexjGCx/3fbhqZogV1hSys2Qnu0p2satkF7tLMyiszqfSWYXyKiJ0JDF047zud3LFgD61s6YG5HHDmlfgmyfxumpYaJ3In0ovpEaZwWsjwmpiQq8IHts3GYeyMrrsb8RERnD3xdX8/ZeHseeN54e4bBIqt8F9vwDw5Oonmbd9HjOGzeDG3jfWHurRJx7CFvk+X8V3omNkZyZ2n0jWvgH0++73jE2uRv1+FU+veZq3tr7FwuwcMvs+x50/deCXP15IjH/eppzKHMYtHI+7ZCTr+yRj+/EZiO0BHQdD/jYe8ObwU1gEX161lPBw33umxl3Do98/yrJ9ywg1hVLtrua2npN44Iu/w9gn4KxpXDR3IDPecdMtaRBd3nqzts5KqXVa6yFN/U3aTUAopYzATuBCIBtYA0zSWm9tbJuAAVFXTYlvTvScDZC7wfe9ZA8AGsUTIYP5qmMIZToHl9c3CkF5rIyuqaCbQ/GBZQjV4Rl4VRWj7UamF2bhNfXmjfAp/GjvQr4zE4dlE7bwfZithSiDg07mcM4wR3NpSGcGxPVDpQ6B5AFgMOL1av67MpMfv1zAv20v8URCKF+GmDkz+UwiLZF8ue9L3FVdeavzWIZsfBI8Dug2BsISWLk3k8cic3AY4UE6oNJG8VLejxTWlBFePYFPbv0D20t+5eHvHsaojLwy9hXSY9KP+JWU1bhYs+8g/1mzkK2lq7GElBAWUoPDW4nTe2yz3yoNY2oc3HjGAwwddicAJdVOdhdUsXZfMaszi6kozKG7cyvRIWZ04ukkp/Wk1L2ft/bOwOJ28cHBPaQOvAXDhGcPB6+zipK/9+e/YWG8E6u5KO0iZo6aibnOJ1Kn28u989azdEseN50exoy4b/nX/g95z+LlrOoaniwoItbrhdBY9safy127zyS/85cQksm8Ce/Ss0PPwz9IxnJ4+yr+GnIJHyRupVeHdP513nN0DO/Iqvcm8WT5L+w1WQmvuJlIz1B25FWQFGlj+kU9ueKMjhg8djZs2cycL9eTU1rN1f2j+Mb4AWuqsngxL5+RYZ0p7XMj2+iGt2AHYdlzmdoBulnjeOOaL7A2uFRUNxz+lFvJyBo3rslf0bGzrxXz8a7FPPbjo/y+pJSRg1+k/+jLjvjbvPjDCl7bNAtnyA4UBiw6Gas7nfKKaByeGiIj1+CwFRPvdnNJpZ2U6kiiDQUsigzlh9AQEi09OSviQZb9Wk1umZ3rh3bikQm9ifRPaf33RZN4t/RXni5NZGb1g+wp1wzsFM3wvtm8u+//+L8aIxMP7oHwRN+HnfBEarCwObeKrXnV5Ntd7A+roDy8mtKQKgoMFVRwuJM71qNJdzpIcLsJ1RqXUmSaTfxqtWLxwsDiNHqd9ihTxg6prVOtvT/AkumQv4XNIYO50zOUyoQNeM2+S7OnRQwl0XUd322Doc6fec3yDG8kPcK5103m1mXXEW3twMbVt7A8/gW6hrvhDt8HTbfXzQMrHuCbrG+Y2n8qV/S4gh9zfuSpH/6O1+DgvOQRHHCVs7VoK4Mir+D29cs4q3MY+66ZzVWLr2Jip/P4y7dz+DjtMWbsPp2tf7uo3ofLu5Y+wE85X7Myay+RA26ES18Ag4E9pZlM/HgiU0rLGR9+IadNmVO7jdaaedvnsb14O0OShjDeFI/59XEw6T2q0i7gyreH8L/zXXRPGnzSB8QI4C9a64v8rx8G0FrPbLDeVGA6EN0jJDTulSWfHdNxTK5KbBW72FCyjBeM++ni8tAz7Ax+KelNaaGRD9RbJFPKrMQn+NXVkZyaag6av8Ub9R1KOenmcpPocbHLbKXQZMCgNb2dLtKdTkK8mv1mE+ttVmoMBgbaHcwoKiFd29gX0peN1bEkOvYyzLiFB5M78a0Nroi5gvMizwNgdcXPvF30Nqq6N//qdBk98pcTV/gTlV4XU2JtHDQbeKEmnv4VOYTW5JAR05f7OySxz7ur9ueLNcVyT8I9xJvjcXo0K7PdbC3ykFXhpcKpsfv7SCPMXibH7+Yq8/fEl/1KiP0gdqUoMprYHdmFPRGpbCWS3WVOensyOdObTZkriRcdk8jRCRhMZYSHbSUk5keqjJBc1oldebegPb7LcKHYeThkEdfopdg43PT+xNidx1O8WPDyTu4BQqMGsaXfDFD1LyNZs75lxO5/cnfcBXwfsZMe1h5Mjp9MhDECr9b8d6ODtQedzEr6ggFVC3k0NpK1ITYupwtXh47EoExYnCVEl/5KXOHPKK+T1xjNrM6FdLCG8FDydGwGGyZXJYPWPcget4HrkmKJshp4JOV/CTOGAWB2ltNz7TTujYtis0URVz2RQdbRjO1iJsJTTOf9H5F0cDkm/4yZLuCBhDhWhIXyP0VQ5r6Kd6uHUGQ/fCIIxc71US+yIKWA4ZWhpIQ8Sr+kcBJCDVR5qpiVN4scVy7/k2vgBnsW3/V9EnN8/bB/I28u62vW8nSunbLe/yQ+2ncpw+HRvL3ja7aELCJce7i8ogojms22UDZYLdiV7/97X4eDCZVeXJ6L+dF2ARaLjcExNVyS/zIbqn/hsYR4bMZI7oi/h5/2xfH5HhcxNsUV3U0MqHmPP1tWc0Z5GD/kPkL/RCuJoQbW5rk5WOUlPv0lLJZyXjCfR6fCnwmr3IPRUYrB68Jr8PCf6Cjej4igwmjArDWnOZ30dLpId7pIdSjMjhiKPcnkqCQIjSMyOpbE2A5EW6C0ajtvVH3Leoub3nYXIwu6YosdS/eURBLcB0nM+5rE/O8oNMQx3XsFPydmYAjdTYIpgaFhQ3FrN99WfIsHD9fH3MBppoGMXT+Vyqju3J8Qz9aarTyY/CCvrY1jrutBwjqksvn0R2p/7x7t4d2id/m56ufasojqeOYWb6K8/1OUh3djQfECvq/8nkFVils94fwrPp5cZy5/SfwDF6+6g7dsN/CS61Jmjq5/CTfbvo+/5z3DtcVmRg74BwZ/q3n2wbfZVLOOqXt7cJ/6kv8k/JXefQJfnkw8+DW9t/+b1cNe4qeqRD4r+QPT33OQEJpOyYMP1K537rnnnnQBcTUwTmt9u//174DhWutpjW3TVAtCa01uVS4ZpRnsLNlJRmkGu0p2sadsDy6vi3RrL/6ybQt9yeEHbz8GhRUS7q2AGxdAl7Pq7auopoiFuxayPnc1pWVZpHm8DMPG+ZYEomK6oWPS2ONJYMmBEOZtLyefHwmJW442VjOoIox7i4sZoAspCO/MzE4JrLDnHtFUBXjqhzm8k/Fvkk3D+GzSy5TZKxg//1bshn38Y9S/Gd9jDHg9sP4N+HwGRKXyhw638mn+Lq7vfxYPnTMRi8HGB+uy+ffynXSo2MGZkUX0ibSTZCgnTpUSr4uIKf0V5agAcxh0P9fXlLVGQHkO7P0ectb75qEB3JYo1qRNZWvHa7DZbISYjYRajFhMBkpKc9m68U4+tFZhwcS5ERO5KSyF3ltnYSzPgtOvhqG3g9HM9q0fcveBT9BeN6+Vuug24v/B0ClgCnCpQGuynjuPsLKdvHHe33gn6z+EmcOYNnAaa7d0YfnPGcwv9sgOAAAcGklEQVRLfJHv2cdrHeJwGs38ccSfuLT7pUfuq6oIVj6NXv1fFluS+GOKmYu6jucfI/6MeudqqrJWc278QJxhpbw74S36xNbv02HXcuzvXsP0Hv1Z4S7mtt43c5/qgGn5X8FVBX2vhB7nU20N56Gdb/FtyVbSHReTXzwWlGJAp2iGdolhUJcYUmNCUUBmQQXvfXMHnxt2MbzSy4H8qymKicQZ9REeVcltuRE84NhE2SWvEDXkyEtiVa4qrlx4Kd6qXP6SbePgBW/iMITw7eo/sCo6g35ON8+nXUNcz/FQmgV7v8O19zsqHeWokGiiz7gZhk0FS9gRv3fWzGHH13/i7oRYHGYbL5z7Lwzevrzw3qdcV/4aS5L3811IGGeFPMf0C0fQOdZ3ovN6Na98l8mzK5di7fwfTg+7hqFR1/PhL9lkFdcwopebysi57K3IYFznC7mq26UMiu2DGQO5pZUUOCxUaSuhVhPJUTYSIqwBL99qrfli4xye2vgfSrWTayoqubG8gq4uN9VYeFadx/tRERhi1mE1WfjDkAe5Kv2q2r6sguoCpq+czrq8dVyVfhXXFx7kw/3LmBcRyvQh07m57808uXgTf1g3BsPIezGN/esRx99QsIHdpbsJM0Xzzpyfedvyd7jtC+gyAq01M5a/xNID/8GjFGaDmT+N+BOXd58ITyTzkXkcH8bdzVtTGgwW2b6EO7+5j58tUdzXZy63jTidtTlbuO3LSRgrR/PhlX8m8rWzKXNCzPT1dIgI0Ef42YO+of8z9jPnx/0s3HoV/2+Bg57JQ076FkRQAsKrvaw9uJZFGYtYkbWCCldF7bKksCTSo9PpEdODXjG9uKDLBWzIyKXoo4c5w5RJUrgJJjwHnYYe18+itWZTdhk/7T3A0gNvs9vxBRoP3aN7kFWxH4fHwaPDH+X6XtcH3P6Whc+wvvINIk0JODwO7J4qbuz2MA+f0+BEsf8nmDcJ7bbzZvhkns4dSPeUBMLLdzPMvpJrrKtJ8eQcXt9g9jX5wxMguT90Pdt3jbjhSQLAUQkF28Fkg5guvvBojMtO5mf38uTBb1kdYqWPw8H9rhCGTXgRY9ooXF4XizMW89TPTxFpiWT2+S/RPabHEZ3wR1QhexOmOeewyHQRsTfO4NVt/2RDwS+gIcqrKTP6Th5nJp/Jo8MfrdffEtCe76iaP5m3Q+zMionm4hoPNxcXcG/0QArCDvL02c8wrutFgbf9+gncK//BzMQU3g81Mchu52FLGr0uexliu7OxYCOPr3qcjNIMHhn+SOB+jga01rz1/Z95bveHuP0nwlSXkScKixjoqMJz3p8wj76/0e23FG7hd0tuIsFp5/ZiO6tDzXwRYWW0N5x/TnwbW4fjGKGXu5EDn/+BO71ZZJtMTCuv5qLyMubERPNheCi39rqTB4cH/q+542AFU5feT5H3F2oOTOK0yEGMOmMPH++fjc1o4/GRj3NOp3NaXje/CmcFL6x5lvcyPsKLlxAdgkcZcVKJQRm5vMdE7h5wN0lhSUds6/K4eG79c8zbPg+3143SmivjB/Oni1/HoAx899OPjP5iPJmjnqHbBXc0WoeDZXbufepFFlj/Br/7yDeKEvh6ex7GhWext3NfLrvmDWJs/vmcnjudJeVprOz3BE9d1b/+zt6+mh2Fm7k62oahuj8Lr36RWz6fTJl7P/8Zs4DR3Tuz9/v3SFs+lTVnPMXQiXcfWaEXh/v6LW9ayCMf/crGvFu574NqeiUPPekDolmXmOqqGxAHKg/wccbHLN69mAOVBwg3h3NBlwvoF9uP9BhfKERaIk/Ej3KE/eX7+WzPZ6zPW0/XqK5c0u0S+sf3b3R9p9vLuDnPkeNaAxgYETeR1yc1MuSzPAcW3Q2ZK/BixI0RC060MkDaaNTpV0PqMIhI9A25a8Xhh7p4L0s3zObp/O/Id5QSa4ulY0RHcitzKagpYHDiYJ455xniQpo/+ilv/jTitr3NP7w3sdh6MZ35hJERX1JiMdOx3/Wc1efaIz/xH42zmlUf/JMlBz9kUQcXKEArft//fu4eNPkoP5yGXcvglzf5zF3M4zqfKo+DHtE98GgPe8r2EG2N5qnRTzGy48jm1wfIOLiebRvfIvbAeoZ4jFhi0uDshyChV5PbbirYxP3Lf0+BswwTihuSRvHAhS80OfKrWbSmImMZf974Asuq9tYWT+0/tfHRYH55VXncuewudpdlYDFYcHqdDE8ezsxRM4kPDTyMu6UKawr5LPMz9pbvRWtNn9g+nJ16dsBgaCinMoev9y1n5NLH6Zp6Flz7BgAVGz4mYtHNLDjjDa6ZeHmj22fkV/D/npvLJ9bHYNJ86DkegJ/3FNNrbl8qe11NyqQXatf3zj6X77NcbBjzOvedX+eyYWkW/Ot0OOch/moK5YPMV/E6YzFYijg37i6en3CPb3uPh8zHBxJmUSTP2FB/AEBlPjyTDhf8FUbdz/WzV1HluY97FlbSu4UB0Z6Gua4B0pVSXYEDwPXADUfbQAOf7P6ERRmL+PngzygUw5OHM+2MaZzf+XxCTG07TvyQzpGduXtAgLRvhMVkYMmU+9mSU47T7WVo2lFmk4xMgZs+gv2rMGR+g8VVAwl9UD3Oh4im/4MEk+qQxrjznmSM28632d/yTdY3FNcUMyB+AFekX8HIlJHHfOJKvGImdlchD+9+i4fc72DEi7b2R133tq9lc6wsoYy44TE6lTyAac03VOtcHhg1kcSwJk5aSsFpY+G0sUwARjnK+HDXh6zNW4tRGbkq/SquOe0aQs2NDA0+ih5Jg+iRNOjYfxagf3x/Fl7xCduLtzMgfkCLjt8opYhIH8uzPS5kU+EmMkoySAxLZFTHUU1umhiWyILL3ufdbe9yoPIA53c+n6FJQzGo4N+bGxcSxy19b2nRtinhKdzU92bIXA+b3vcNVTVZiajw3UT3TWEU1xxl+wq7Gwf+TnLX4ZsEwy1GwqihQNX/e9it8SSqLSRH2ervaPdXgIbTr+GRDmnk1+SQX1lOWsRpPHne1NrVDEYja1JvZVL233Bv/QRTv4mH97H3e9/3tNEAZBZUkRxjOI5Bru0oILTWbqXUNGApvmGur2mttxxtmxp3NY98/wip4ancM/AeLut+GSnhKSekvq3NZjbWDl1tksEAaSN9X+2AzWTjorSLuCitkcs1x8Iage2mebDhXYwF2yFlIKrnhNobkloqNSaUP4+d0OLto6xR3NbvNm7rd9tx1SMYYmwxjEg59qHGzaWUYkD8AAbEDzim7cwGc4tP3Cdcz/Gw7nXfSbbH+VC4i1JjLDtKj97irnS4seOfiqPOfRCRJhdGpamm/vu01JpMR/UtRQ0DYt8q3x3XsT0wK8WLY//R6DFjh19H5v7ZJC17HFOfSw5fqt37HVgiIHkAFXYX+RUOUqKNx3GbXDsKCACt9RJgSXPXNyoTr130GoMTB7fKJxPRTigFZ9zY9HpCtFTXs8EUAjuX+gNiByWhaeSW2Y96r1OVw41dHwqIOi0I5RuyW9UgIPKNiaQoO6m2BvNW7f8ROo9o1iXgkacl8b/eScwqew42vAuDfudbsOc73z1JRhN7cn0TDSp9fAFxUp9VrUZLqzVbhRC/IeYQ34wMO7/w9TcV7qImsjvVTg/lNY1Pjlf/EtPhk36o/56OCl0/ILK9vkuZibrOs6nLsqF0/xEjJxsTZjWR33Es20294JsnfKP0ti6Gol2++6bwXV4CMPyWA0IIIYLmtIugdB/s+RYc5Xj9z1PIKWt8AsL6l5gOB4TF4ztBl3vrD+He7fJN+WOtrDNR6L5Vvu+dm3+ZcFBaB/5on4SuLoL/joaP7oTUob556IDMwioMCqwmC14FtHCiTgkIIYQASPf3mS36PQDWJN8ostyjBYTdjfPQlfq60507KgEo89RvQWyz+/sVS/cfLtz/o6/vIOn0Zld1cJcY1rjT2Tr+AzCYIKQDXPdObd9cZkElqTGhmA1mXwuihaNVJSCEEAIgqiNc+rxvYk9rFJFdfSPLckobf85FpcONxWQCo7XeKCacvoAo9dR/lsTeShPVhrD6AbFvFXQe3uR9QXUN6ux7iNF3VakwbQ3cs9o3lN0vs6CKbvFhmJXZP4pJWhBCCHF8Bt8Cd30PM/YRl5CCyaCO2oKocLiJsJl8n9zrjGI6FBAlrvqXmPIrHJRaUqBkn6+guhgKth3T5SWA2HArXePCWLevxDcTQZ2Zpj1eze6CStITwjEZLP4WhASEEEIEh1IYDYrESBu5R2tB2N2+KdFNtnqjmA5dYip0H25BON1eiqucVId2PNyC2O/vf2hmB3VdgzrHsH5fyREPBMoqrsbh9pKeGIHZaEEr0F4JCCGECKrkKNtRO6mrHG7CbYcC4sgWRJHjcEAU+B9x7I5M9QWE1rDvRzBaIOXYb5QckhZDUZWTvUXV9cp35vmmF0pPCMds9B3fq1v2JEMJCCGEaERydAi5ZY23ICocbsIsJt8wWdeRLYgC5+GpyPPLffsxxHTxTfJYXexrQXQc0qIbP4em+UZErc6sPx/drnzfsdMTI7AYffv1tvBRtxIQQgjRiJQoW+3NcoFU2v19ECZr/VFMzgpcykKJ4/ClnfwKXwvCEtfVX7DV97yaFjxwC6B7fBjxEVZWNQyIvAo6RocQbjVhNfkCwu2RgBBCiKBKjrLhdHspqgr8MK1Kx6E+iJAjhrm6TGGUVruwu3wn50MBEZnkf3ztd8/4ptTvfOz9D+CbAuXMbrGs2l1UL8B25lXSI8HXaW0zSwtCCCFaRbL/udGNdVRX1vZBWOvdSY2zEq/ZN41+frnD/92OQUFUpz6+ex4yV/j6LjoNa3H9RnSLJb/CQWah78a8QyOYTkv0BYTVEuovb1lAtKu5mIQQoj1JifIFxIHSGk5PjTpiuW8Uk9nXB1FTfHiBo7L2GSq5ZTV0jg0lv9xBbLgVoyXEN5S24iC4qsHW8scQjOgeC8Cq3UV0jw+vN4IJIMTiq79HOqmFECK4Osb4TrA5pUeOZHK4PTg9Xn8fxJGjmIw230n6oL9zOr/CTkJEnfsiIpKgQ7fjql9abChJkbbafoi6I5gAQiyHnvYnASGEEEEVE2om1GIku+TIgKhy+E66YRajLyDqXmJyVGAO8bUMDo2Cyq9w1A+IIFBKcW6vBJZvzeNgmZ0vthzEYjTUtiDCbL6g8Mp9EEIIEVxKKVJjQsguqT5iWaXdN8truM3sv5O6/lQbppAIImwmcv2tj/wKB4mRx/cck0B+P6Y7WsP/zP+FD9cf4LZRab6OcyDM5usH8cid1EIIEXypMaEBWxAVDhdAnVFMdS4xOSrBEk6yf5is2+OlsDL4LQiATh1CuenMLqzeU0xsmIVp5/aoXRbub0FoCQghhAi+ploQtfdBNJyszxpBUlQIB8vtFFU50RriW6EFATDtvB70Sorgz5f1JcJ2+Oa8yFDfZS5vCwNCRjEJIcRRpMaEUG53U1bjIirk8Mm30uG/xGT130ntdYHXAyhfQFjCSY60sS23vHaoa2u0IAA6hFn44v6zjygPC5EWhBBCtJrUGN9IoIatiNqAONSCAN/Nci7fPQlYw0mKslFY6ajdtrUCojFWs7+T+lQICKVUb6XUy0qpD5RSd7d1fYQQItU/1LVhP8ShgIiwmsDin27bXlY7D9OhPgit4f21WdjMBk7zjy46USz+O6kbmyqkKUEJCKXUa0qpfKXU5gbl45RSO5RSGUqpGU3tR2u9TWt9F3AtMDIYdRNCiONxuAXRICD8fRBhVhMk9PYV5m2pncnV1wfhO0F/s6OAsX2SfOueQGaD75KYbuMHBs0FxtUtUEoZgReB8UAfYJJSqo9/2elKqU8bfCX4l10GfAYsCVLdhBCixQ7fC3HkJSalINRiPPy40NwNUH7A9+/QWJL9d2IDXHFGxxNV5VoW/3Tfmpa1IFRLmx5H7EipNOBTrXU//+sRwF+01hf5Xz8MoLWe2cz9faa1nnC0dfrZQvRn11xzPNUWQogmbcouw2o20LPOJaK9RVUUVDhqp93mwFqwhIE5DMqyoNOZuDGwdm8xJqOBQV1iTvg1fS9eijatoyLWwrlfb6wtV0qt01oPaWr71mzvdASy6rzOBoYfbQOl1BjgSsBKIy0IpdRUYDoQ3ddqo7S0NCiVFUKIxhjwUu3w1Dvf1Ni9KKgtC1VWjDUVaIcdjDYqy33TXpgMikizprwNzlUa2JsIxV1NqBUrjnn7ZgWEUmo5kBRg0aNa64+P+aiN0FqvAFY0sc5sYDbAkCFD9IBPFgfr8EIIEdCHH29m4foDbPzzWIwGBcDf/vMjLo+XxdNG+Vb67ln46m9gMMPwO+GiJwDoUu0kzGrCbGybMUG3zT2dc8qtTB0z5pi3bVaNtdYXaK37Bfg6WjgcADrVeZ3qLxNCiJPKiO5xVDrcfLnlIOB77vO6fSVc1LfO5+bkAb7vXhekja4tjg61tFk4AJg1uLWbokpH0ys30Jq1XgOkK6W6KqUswPWAfNwXQpx0LuyTSJfYUP67MhOtNYs35gBw2YCUwysl+QMCBZ3PPPGVbIRFKbx4WLQh55i3DdYw13nAKqCnUipbKTVFa+0GpgFLgW3A+1rrLcE4nhBCnEhGg+L2UV3ZkFXKtzsLWPTLAYamxdCpQ+jhlcLjISIFkvtDSHTbVbYBKwqjWbNgbdYx3w8RlE5qrfWkRsqXIMNVhRCngKsHd+LfX2Vw6+trAPi/y/sdudLFTx/XA4Bag1kZMJkU2/dXsCWnnH4dj3zwUWNkLiYhhGiGEIuRT+8dxZdbD5JZUMXlge5r6H3Jia9YE8wYUEaNxWjgg3XZEhBCCNEakqJs3Dwira2rcUwsyoALFxf2TWTRhgM8fHGvZm/bruZiEkIIEVwWZcSlvVwzOJXSahdfb8tv9rYSEEIIcQqzKCNOvIxOjycx0sqCddnN3lYCQgghTmFmgwmX14NRu7lyUCrf7ixo9rYSEEIIcQqzhMbjxAO7v+Hqwal4vM0f6ioBIYQQpzBLZApOgwk2zad7fDiDOjf/Hg0JCCGEOIVZjDZc1gjY/hnYy3n6mgFNb+QnASGEEKcws9GM02zzPQ5122K6x4c3e1sJCCGEOIVZjVaqtBtvh66wcf4xbSsBIYQQp7DBiYMpd5bzU/oY2Ps9lMkwVyGEEMCFXS4kxhrD+4YqQMOm95u9rQSEEEKcwixGC5enX86KvDXkdRoKm95r9rYSEEIIcYq7Jv0aPNrDh8ndoGB7s7eTgBBCiFNcp8hOnJVyFgsrM3AbLc3eTgJCCCF+A6497Vryagr4rvuIZm8j030LIcRvwNmdziYhJIH3Y1KaXtmvXbUglFKXK6VeUUq9p5Qa29b1EUKIU4XZYObK067kh5wfm71NsJ5J/ZpSKl8ptblB+Til1A6lVIZSakZT+9FaL9Ja3wHcBVwXjLoJIYTwuSr9KpRSzV4/WC2IucC4ugVKKSPwIjAe6ANMUkr18S87XSn1aYOvhDqbP+bfVgghRJAkhSVxTuo5zV4/KH0QWuuVSqm0BsXDgAytdSaAUmo+MBHYqrX+FTji4a3KF21PAZ9rrdcHOpZSaiowHYiOjo5mxYoVwfgRhBDiN+ESLuEFXmjWuq3ZSd0RyKrzOhsY3sQ29wIXAFFKqR5a65cbrqC1ng3MBhgyZIgeM2ZMcGorhBCinmYFhFJqOZAUYNGjWuuPg1UZrfXzwPPB2p8QQoiWa1ZAaK0vaMG+DwCd6rxO9ZcJIYQ4CbTmMNc1QLpSqqtSygJcDyxuxeMJIYQIomANc50HrAJ6KqWylVJTtNZuYBqwFNgGvK+13hKM4wkhhGh9wRrFNKmR8iXAkmAcQwghxInVru6kFkII0X5IQAghhAhIAkIIIURAEhBCCCECkoAQQggRkASEEEKIgCQghBBCBCQBIYQQIiAJCCGEEAFJQAghhAhIAkIIIURAEhBCCCECkoAQQggRkASEEEKIgCQghBBCBCQBIYQQIqB2FRBKqW5KqVeVUh+0dV2EEOK3LliPHH1NKZWvlNrcoHycUmqHUipDKTWjqf1orTO11lOCUSchhBDHJ1gtiLnAuLoFSikj8CIwHugDTFJK9fEvO10p9WmDr4Qg1UUIIUQQBOuZ1CuVUmkNiocBGVrrTACl1HxgIrBVa/0rcEkwji2EEKJ1BCUgGtERyKrzOhsYfrQNlFKxwBPAGUqph7XWMwOsMxWYDkRHR0ezYsWK4NVYCCFErWYFhFJqOZAUYNGjWuuPg1UZrXURcFcT68wGZgMMGTJEjxkzJliHF0IIUUezAkJrfUEL9n0A6FTndaq/TAghxEmgNYe5rgHSlVJdlVIW4HpgcSseTwghRBAFa5jrPGAV0FMpla2UmqK1dgPTgKXANuB9rfWWYBxPCCFE6wvWKKZJjZQvAZYE4xhCCCFOrHZ1J7UQQoj2QwJCCCFEQBIQQgghApKAEEIIEZAEhBBCiIAkIIQQQgQkASGEECIgCQghhBABSUAIIYQISAJCCCFEQBIQQgghApKAEEIIEZAEhBBCiIAkIIQQQgQkASGEECIgCQghhBABBeWBQcGilAoDXgKcwAqt9TttXCUhhPjNatUWhFLqNaVUvlJqc4PycUqpHUqpDKXUjDqLrgQ+0FrfAVzWmnUTQghxdK19iWkuMK5ugVLKCLwIjAf6AJOUUn38i1OBLP+/Pa1cNyGEEEfRqgGhtV4JFDcoHgZkaK0ztdZOYD4w0b8sG19ItHrdhBBCHF1b9EF05HArAXyhMNz/7w+BWUqpCcAngTZWSk0FpgPRgF0ptaUV6hgFlLXCflvjGC3Zz7Fs09x1m1rvaMuPtiwOKGzG8duavGeOfX15z7Tde6ZLs7bWWrf4C1gObA7wNbHOOmnA5jqvrwbm1Hn9O2DW8dQj2F/A7JPlGC3Zz7Fs09x1m1rvaMubWLa2rd8PJ/LveSKO0drvmeauL++Z9v+eOa4WhNb6ghZsdgDoVOd1qr+sPQnYemmnx2jJfo5lm+au29R6R1t+In7frU3eM8e+vrxn2vkxlD9lWo1SKg34VGvdz//aBOwEzscXDGuAG7TWrXGpSJzklFJrtdZD2roe4uQh75ngae1hrvOAVUBPpVS2UmqK1toNTAOWAtuA9yUcxFHMbusKiJOOvGeCpNVbEEIIIU5OMpRUCCFEQBIQQgghApKAEEIIEZAEhDhpKKW6KaVeVUp90NZ1EScPpdTlSqlXlFLvKaXGtnV9TiYSEKJNHcuEjto3PcuUtqmpaE+O8X2zSPsmAL0LuK4t6nuykoAQbW0uxzahoxDQsvfNY/7lopkkIESb0sc+oaMQx/S+UT5/Bz7XWq8/0XU9mUlAiPYo0ISOHZVSsUqpl4EzlFIPt03VRDsW8H0D3AtcAFytlLqrLSp2smpXT5QT4mi01kX4riML0Wxa6+eB59u6HicjaUGI9uhkmNBRtD/yvgkyCQjRHq0B0pVSXZVSFuB6YHEb10m0f/K+CTIJCNGmZEJH0RLyvjkxZLI+IYQQAUkLQgghREASEEIIIQKSgBBCCBGQBIQQQoiAJCCEEEIEJAEhhBAiIAkIIYQQAUlACCGECEgCQgghRED/HzsqC+yMkVo6AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-16/X200048.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-16/X200037.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-16_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.rref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.tref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2023-06-22.ipynb b/calib_cernox_2023-06-22.ipynb new file mode 100644 index 0000000..fc07ded --- /dev/null +++ b/calib_cernox_2023-06-22.ipynb @@ -0,0 +1,413 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c2.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c4.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c5.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 62}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X189666', 'CX-1050-CU'),\n", + " Sensor(2, 'X174782', 'CX-1050-CU'),\n", + " Sensor(4, 'X133834', 'CX-1050-SD'),\n", + " Sensor(5, 'X133833', 'CX-1050-SD'),\n", + " Sensor(6, 'X199831', 'CX-1050-SD'),\n", + " ],\n", + " t_points = (1.2, 1.4) + logrange(1.6, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2023-06-22', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('z340', 'READ 2018-11-20/X133982.340')\n", + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('z340', 'READ 2018-11-20/X133928.340')\n", + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('z340', 'READ 2018-11-20/X131824.340')\n", + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('z340', 'READ 2018-11-20/X132254.340')\n", + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('z340', 'READ 2018-11-20/X137461.340')\n" + ] + }, + { + "ename": "IOError", + "evalue": "[Errno 2] No such file or directory: '2018-11-20/X137461.340'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mIOError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtestlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-22/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-20/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompare_calib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdiff\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/home/l_samenv/sea/calib_scripts/zcalib.py\u001b[0m in \u001b[0;36mread_curve\u001b[0;34m(filename, kind, instance, **filterargs)\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"READ %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 121\u001b[0m \u001b[0mcurves\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mIOError\u001b[0m: [Errno 2] No such file or directory: '2018-11-20/X137461.340'" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2018-11-22/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2018-11-20/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-22/X189666.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-22/X174782.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-22/X133834.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-22/X133833.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-22/X199831.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-22_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.rref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.tref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2023-06-27.ipynb b/calib_cernox_2023-06-27.ipynb new file mode 100644 index 0000000..ce72422 --- /dev/null +++ b/calib_cernox_2023-06-27.ipynb @@ -0,0 +1,386 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p2_c2.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p2_c5.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p2_c6.dat')\n", + "{'selected': 2, 'averaged': 60}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X189667', 'CX-1050-CU'),\n", + " Sensor(2, 'X189668', 'CX-1050-CU'),\n", + " Sensor(5, 'X189665', 'CX-1050-CU'),\n", + " Sensor(6, 'X189664', 'CX-1050-CU'),\n", + " ],\n", + " t_points = (1.2, 1.4) + logrange(1.6, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2023-06-27', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('z340', 'READ 2018-11-20/X133982.340')\n", + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('z340', 'READ 2018-11-20/X133928.340')\n", + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('z340', 'READ 2018-11-20/X131824.340')\n", + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('z340', 'READ 2018-11-20/X132254.340')\n", + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('z340', 'READ 2018-11-20/X137461.340')\n" + ] + }, + { + "ename": "IOError", + "evalue": "[Errno 2] No such file or directory: '2018-11-20/X137461.340'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mIOError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtestlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-22/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-20/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompare_calib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdiff\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/home/l_samenv/sea/calib_scripts/zcalib.py\u001b[0m in \u001b[0;36mread_curve\u001b[0;34m(filename, kind, instance, **filterargs)\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"READ %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 121\u001b[0m \u001b[0mcurves\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mIOError\u001b[0m: [Errno 2] No such file or directory: '2018-11-20/X137461.340'" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2018-11-22/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2018-11-20/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-27/X189667.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-27/X189668.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAECCAYAAADkaECYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAIABJREFUeJzt3Xl4VNX9x/H3dyb7RiAJBAhCgIgiIGgENxRXoOJSa1WsW7Vat6qt2mpttbZutVrFnytV61pUrAsqFkUNiKKCLLLJLhC2EEL2Zbbz+2OiBBwggYkJ5PN6njw6Z84590y4mc+ce8/ca845REREtudp6QGIiEjrpIAQEZGIFBAiIhKRAkJERCJSQIiISEQKCBERiUgBISIiESkgREQkopiWHsB3zCwZeAzwAQXOuZdaeEgiIm1as84gzOwZMysys/nblY8ws8VmtszMbq4vPhN4zTl3GXBac45LRER2rbkPMT0LjGhYYGZe4FFgJNAXGG1mfYEcYE19tWAzj0tERHahWQPCOTcVKNmueDCwzDm3wjnnA14GTgcKCYdEs49LRER2rSXOQXRl60wBwsEwBHgYeMTMTgHe3lFjM7scuAlIj4uLy+zRo0czDlVEZN+zZMmSYudc1q7qtZqT1M65KuCXjag3FhgLkJ+f72bOnNncQxMR2aeY2arG1GuJQzlrgW4NHufUl4mISCvSEgExA8gzs1wziwPOBSa0wDhERGQnmnuZ6zhgOtDHzArN7FLnXAC4BpgELAJedc4taM5xiIhI0zXrOQjn3OgdlE8EJjbntkVEZM9oOamIiESkgBARkYgUECIiEpECQkREIlJAiIhIRAoIERGJSAEhIiIRKSBERCQiBYSIiESkgBARkYgUECIiEpECQkREIlJAiIhIRAoIERGJSAEhIiIRKSBERCSiVhUQZtbTzJ42s9daeiwiIm1d1ALCzJ4xsyIzm79d+QgzW2xmy8zs5p314Zxb4Zy7NFpjEhGR3RfNW44+CzwCPP9dgZl5gUeBk4BCYIaZTQC8wD3btb/EOVcUxfGIiMgeiFpAOOemmlmP7YoHA8uccysAzOxl4HTn3D3AqGhtW0REoi+aM4hIugJrGjwuBIbsqLKZZQB3AYPM7Jb6INm+zuXATUB6eno6BQUF0R2xiIgAzR8QTeKc2wxcsYs6Y4GxAPn5+W7YsGE/wshERNqe5l7FtBbo1uBxTn2ZiIi0cs0dEDOAPDPLNbM44FxgQjNvU0REoiCay1zHAdOBPmZWaGaXOucCwDXAJGAR8KpzbkG0tikiIs0nmquYRu+gfCIwMVrbERGRH0er+ia1iIi0HgoIERGJSAEhIiIRKSBERCQiBYSIiESkgBARkYgUECIiEpECQkREIlJAiIhIRAoIERGJSAEhIiIRKSBERCQiBYSIiESkgBARkYgUECIiEpECQkREIlJAiIhIRFG7o1w0mNkZwClAGvC0c+79Fh6SiEibFc17Uj9jZkVmNn+78hFmttjMlpnZzTvrwzn3pnPuMuAK4JxojU1ERJoumjOIZ4FHgOe/KzAzL/AocBJQCMwwswmAF7hnu/aXOOeK6v//T/XtRESkhUQtIJxzU82sx3bFg4FlzrkVAGb2MnC6c+4eYNT2fZiZAfcC7znnZkXajpldDtwEpKenp1NQUBCtlyAiIg009zmIrsCaBo8LgSE7qf8b4ESgnZn1ds49sX0F59xYYCxAfn6+GzZsWPRGKyIi32tVJ6mdcw8DD7f0OEREpPmXua4FujV4nFNfJiIirVxzB8QMIM/Mcs0sDjgXmNDM2xQRkSiI5jLXccB0oI+ZFZrZpc65AHANMAlYBLzqnFsQrW2KiEjzieYqptE7KJ8ITIzWdkRE5MehS22IiEhECggREYlIASEiIhEpIEREJCIFhIiIRKSAEBGRiBQQIiISkQJCRKQNWbKxotF1FRAiIm3In96Yv+tK9RQQIiJthHOOJUWaQYiIyHaKK32UVvsbXV8BISLSRixtwuwBFBAiIm3G0o2VTaqvgBARaSOWFlWQmtD4i3grIERE2oglGyvZv1Nqo+srIERE2ohlRZXs3yml0fVbVUCY2YFm9oSZvWZmV7b0eERE9hXFlXWUVPno3bEFZhBm9oyZFZnZ/O3KR5jZYjNbZmY376wP59wi59wVwNnAUdEam4hIW/fdCeqWmkE8C4xoWGBmXuBRYCTQFxhtZn3NrL+ZvbPdT8f6NqcB76LblIqIRM13S1zzmjCDiOY9qaeaWY/tigcDy5xzKwDM7GXgdOfcPcCoHfQzAZhgZu8C/9mTMW155VXK33lnT7oQEdnrpY0axdL4vqQmxNApLb7R7aIWEDvQFVjT4HEhMGRHlc1sGHAmEM8OZhBmdjlwE5Cenp5OQUHBDjfe/sUXiSksJJCT0+SBi4jsC2IKCyktLeXLo6+kUwJMmTKl8W2bcVxN5pwrAAp2UWcsMBYgPz/fDRs2bId1Vz39DKSn0/2F56M3SBGRvciqCy4EoNgXw0l9OzFs2IBGt23uVUxrgW4NHufUl4mIyI/EHwyxucpHXhO+AwHNHxAzgDwzyzWzOOBcYEIzb1NERBqo8QcByOvY+BVMEN1lruOA6UAfMys0s0udcwHgGmASsAh41Tm3IFrbFBGRXavxhQOiKd+ihuiuYhq9g/KJaMmqiEiLqfYHSY1v2gomaGXfpBYRkeir8QXJ65SCmTWpnQJCRGQfV+MLNukLct9RQIiI7MP8IYc/GCKvCZfY+I4CQkRkH1bjCwA0eYkrKCBERPZpW1cwaQYhIiIN1AVCmBnZaQlNbquAEBHZh9UFQsTFeJq8ggkUECIi+zRfMBwQu0MBISKyD/MHQsR5FRAiItKAc+77Q0y7QwEhIrKPKq3245zTDEJERLa1vqwWQDMIERHZ1sbyNhwQRRV1BEOupYchItIqbfguINriIaaN5bX84qnP2VA/jRIRaVNWfgITroXXL4eg/wdPry+rBYPYtjiDyGmfyNw1Zfzk4U/46JuNLT0ckbbHOfBVt/Qo2qZVn8Fzo2Dea/D1K1Bwzw+qbCyrJdbr2e03+r06INonxfHOtUfTKS2BS56dyZ3vLMQXCLX0sGRvs/5rePkX8MFtULU5On1Wl8Dnj0PJyuj014psqNrAP7+8j1mvjsbd3RXu7gxvXg2+qpYeWtvyyQOQnAU3LoFB58Mn/wyHRgPry2t3+/AS7OUBAdArK4U3rjqSi47ozlPTVvKzxz/j22LtqNJIs16AscPg20/g04fh/wbBpsV71udXz8FD/eF/N8OTx8Li/0VlqK1Btb+aqz+4gn8veoGLauZzTW4eoUMvgTkvwdPDwV/T0kNsfnWV8OkYmPoPWDo5PIv6sa2bA8smw+FXQXwKjPg7tMuByXdsU21jWe1un6CGfSAgABJivdxxej+evOBQVpdUM+r/pvHWnLUtPSxp7apLYNKtsN8RrLngM8blv0KF3yh7/jyqKsp2r8+NC+DdG6DLILjgDWjfHV4+D1Z/Ed2xt5DbP7udpWXL+WfRZq7uchxT/SU8lzsAznkBNs6DaQ+19BCb1/KP4JH88GzzozvhpZ/BR3/bra6q6gIULC6irOaH5w526dMxEJ8Gh10afhyfAkdcA2s+h8KZ31fb0NZnEA0NPyibidcN5YDsVK57eQ7LN1US/DHTffUX8MXY8B/JutkQakWHuwI++Ho8vPcHGH9xeAdf+sEPPv3U+oO8NWctSzdW/LAPXzVUFUMo+OOMuYEVZSuYuWEmizYvwkXr3/TTh6CunOl9/sAJj3/F7d9M4sTsblyRUsFfnjmN9aVN/DQcDMCbV0FCO/j5c9DreLj43fAnu9cvg9ry6Iy7hcwvns//vv0fV2wp46RDruDnR/yDvOQjePCrMdy9NhF/3zNh2oOweflO+3HOUe3fs/MW/pCf6eum886Kd6j0Ve5RX40VWl5A8D/nUuRP5PFeT/D6iC8JDLoofKhn2oON7sc5x6MfL+Pwez7k4n/PYMjdk7nj7QUEgo18v6gugUVvhw8rJbT7vnhB90OYkpbBsk/vB6CovJayGv8ezSBidrtlK9U1PZGXLz+cMR8uZdO0OipqA7zy3iIOz80gv0d7UhNiv6+7pXYLszbOorSulK6pXTms02F4Pd6mb7SuEt77fXia3VDHg+D4W2H/EdCIfqt9AWr9IZLivCTE7sY4dmTR2zDx91CxDuJSwsctF70T/hTS/WgYfhd0Gcii9eVcO242S4vCf3BDeqZxxlGbWLbqHTZt/JohpUWcXFlBlvOEX9OQX0PuMdEbZwQzNszgkdmPMKto1vdlOSk5nN3nbM7pcw5JsUm713H5evjiSdZ1P40LJ31LSq9/E/AUc1D2YVQUefhfQgnfjDuTJ0ePp0t6I6+jP/Np3Po52M+fZWVNAk9/MI/VJTX0ir2eP2+6gZLx15Nx/tO7dVXNhkKh8OUTEuMauY/UbIF5rxH69lMqNiynIjaTsqxD6f2T3xCf1G7X7es9O+9pUhxc6M1iVo/LuPyhTyiuOZG0Xgt4cfk/KCi6hP95P8DzwW1w7rZ/C8FQkA9Wf8C4ReNYuHkhtcFaunoSON7nuCqtHyn9z4Y+I6ERv5vZG+ZzzUdXU+4vASDem8g5+4/m2kOvIt4b3+jX0xQr5k4j4a1zWWQduaXuKnwrMyhdsIx7U0YxKbeE9h/+FbodDt2P2Gk/zjnuencRT01bycg+6VzUu4o5y9fy1mcrub68hgfPPYTYXX3in/9fCPnh4NEAlPvKue/L+3hr+VuQkQy1C7h22pM880lv4mM8tEuM3Xl/O2FR+zQWBWY2AhgDeIGnnHP37qx+fn6+mzlz5g6f//qs0RRuqeG6wy/HH3R4DA7skkROlxWUxXzBN2VfEnRbPw13TOzIT3r+hJO7n8wBGQcQ6/nhL3ZTRR0L15dT5w/SPSOZ/VN92AtnENowj9qjryNx8BWYJwaWvBeeSZQsh5Rs6Hls+I05FAifzPNV4XxVzAuU8XEwxKyAj8JQAFfXgZqq/nRrP4JTB+7Hz/O77XZYrCmuYPVrt3DUhhdYk9CHhJNvI2vQKeE/woAPZr8AH98F1SVUHfhzfvrN8ZTGZHH7aQfw4er/8fH6fxOILSc1GKKdeSn0OBIthsuTenHhitnEVRfDQT+FkfdBSsdttu2cw+HwWISd3bnwoZiN8yGxPXQ9FJIzt6lS5a/igZkPMH7JeLITM7kwlELepm9ZH6zinfZZfEk17eLSOLH7SXRP686S4pWs2riQ6rotJMclc0LeT7hg0KUR/w0BmPwX3LSHODn2djZ1+S8pCcY/hz3A4M6DccEAj/z7WMbGltMnMJTxlzy60zf1QCjAv2Y/woezx7I8xkuCtyOlpZ2wqoPplXIYzsVyctEzXOt9nb/E30h13mn0z0lnQNd29OmYQMy6L4lZNwfikqHXcdChZ8TtLFpfzv2TFvPltyVU1AbYr0MSJx7YiUuO7kFO+61B6Q/52VyzmeLK9fjmvETM3HF0r62mymWyIpBFZyuhl2c9m+jA6iG3cejIX+7wtX1nTcUaRr1+CheVljG0/0Oc92E8XdMT+b/Rh7Au8Dk3TrmRYPEp3GkVnFn+Ivz6E+g8AIA5RXO464u7+KbkG7qldmNYel/aL3iT+TFGQVICWUHHvUVF5Kf3CX9YifChwx8MMWnBBp6bMYNvuJtEF+KkTRl0CvmYkuZnSVopKYFUDnRHkttuEKkpXipi11EcWkd5aAvtE9rRL7Mfp/c6nYzEjF2+3oaeKniV6Ytu58ukrZ+nu6V2Y0D68Uz76gB8lQGmpv6ZBC9w5bRtPtVv76H3F7Gw4BV+nzGNXlVzsNDWw0vFLo3xWcOpGdyXmlAN+3fYn9N7nU6cN27bTv51PATq4MpPKawo5KoPr2J1+Wou6XcJx7Xvyz/ev4oFcYnEFt/CU+eNJPXm3wDQ/YXnv+/CzL5yzuXv6rW3moAwMy+wBDgJKARmAKOdcwt31GZXAbHqggsByHzqacbPn8rby99iZfWn+M1HegBOrazg5Ooakkf+HyvT03l7xdtMK5xGwAVIjEmkX2Y/+mX2o3NyZzaXJfD+11UsWFcOnjosppyUuDUMSPqCtXFBNsV4cUCcN54uyV3pknAASYFcum/cwFFbvqRX3VKSQ+VsiYljcWISnyfEMTnO2BAT/v139gfpFAywPDaWCq+H7ECQ4Vti6VmVS4/uvem3f2/i2mWH34hTO0N6d/B4qPJXsaV2C4FQgPYJ7UmLS6PaF+SxiV9y5OybOMozn3fiRvCn2vOpc7H87Yx+nHVoztZfUm0ZgSn346Y/Rh1eJu1/NM9SxLf+Mg6o83HJllrm1J3Fqb/8I0mpZYyZNYaP1nxE56QcRlV05KI1E9lsSdySeA6bM+LwJqyl0n1LVbAU5xypMZ1o5+lNuhtIvC+Pw8o/5aflL5Ed2HqOyOdJZGGPCyns+ysy2mdQEprPw3PvZn3Vei7KOISr575Pgnkg70RISIeVU5hTVchL6R2YkhhPjTlSgiG6BAK0D4Uo8XpYGhfHfoldeWT44+S2y912x/BV4f7Zl8nePvy2fQ3pyca/RzxNXvu8rXUqNnLTi8OYnOjlityH+fWxx0fcxyp9ldw49UY+Xfsph9XUUp0wjDnlNSS3+xYfZSTGJDK061AGZAxkvymPk1lRyP2xJzDfGyA5cSW+uFJqPNDL7+fEqhouLisnqcuhMOAc6HEUhAKENi5kyWcTCG1YQKanjJnp3ZnRvgfTXQdWlZWDBenSPob2qXUU1xWyuTbySiyvS6NHWi59M/PoUBni0LlvM6xuOV+2P5WDL3+ShMTkHf4t3f3p7Yxf+l9e8eUwavV19O2cxnO/HEy7pFicc1z70bV8svZTgqvPZCaPE997GMWnj2HMrDG8uexNOiV14sb8Gzkp6xC8Y48DjwcueJOvQ1Xc+skfKaxcw18rQpy6aTX0PgmOuha6H01dyPHfr9by1McL6FP5MYt7TCLg8fP8uo10s3iCCR3wVm3kizgPD3RIZ0n8tm+mGYEgnQKOYm8sRbGOGGI5quOZ/Omoa8lOS9vh64Xwh5zr3vk7BZtfon0oxKgeP+WgHkeypW4Ln6z9hE/XfkpiTBKe0uH0KMpknOcv2AE/gbNf+H4mtK5yHU/Ne4rP13/Ohor17F/j5xeVmxnu6UBcvzOh2xBIaMeGTQv529fPMDW2Gq+DhNhkqgJVZCdnc/PgmzlhvxPCg9q0BB49DE6+kxk9D+emKTfhD/kZc9wY8rPD7/efPXo6NyUuo2N6P17/6cusvvAiYO8PiCOAvzjnhtc/vgXAOXfPdvUuB24C0tPT0zPfeOONHfaZdv8/KAsU87fRITZRS2IoxElV1YyqrKGHdWG+tz/dy2fQyVvJgsMfwhffgcpgJYtrF7OybiUr61ay1reWIJGPucc4R64vQKkvj8LanhCKx2Kq8MRvxJu4CvPWf4HPeSAUjzM/5gnfH9Y5D6HqXuRwCMdlHsTgjHbEh6qJr1rDksqZvO1fwAJPFfv5gpxTXs7htbWkhkKUeT18GxvLzMRkZiSlsMK77dhSyCSxNIdHSj+jtytjfs/LKd/vZDbXhHhqXh2LSkKcvX8sI3NjMTNCzvHwvEIK/VNJbz+Tjd4AvX0+Lq90HJQ6mC8zz+LuOXFU+h2Ds2NIjzfmVi2kJPktPPHF4Axs6z4UqssiWNuVkD/8KcoTV0xM8grMW0OMg8Nqa8itTWJz3WBW1+WT4K/iHCYxNPZLJiVk8ERqZ4qSyoj3pfK7zSHOq13E/Nj+vNbhSsrjsqgNQFFVkIzyBQwLTGOAZwkhL5SnDMDX8WCC7XLZsqmQuOLHuD8rEZ83mauzr2G/+P2+H2OXte+RvfxJju80gEBCNTd2vp6cuBx+oPgLbi1/jgxfIhft93cykrY9IhtyIR4vepyltUu4tbiETrUHc2HFlZyZF8spuV6W1S1jdvVs5tfMpyy47UnvxFCIvnU+soOJLAv2ZkmMH5f8Le1C8fyuopaflqyh4ZzlG08az6d3Zlqqjy2e8L95fMiR6EmkJpRErd9LMJhEfKADQ0OFDA0sJjaQyEv+4axJyKVfly144orY4N/ABv8Gal1430wNxnBMTRlDyzOJGfhn4hN/eN/iqmAVt6/5I8MrK5i//kaKE3twy+BEUuJsmzqPFT3G6rpCelem09PW8FFKKiHg+LTjGdFuBPEWS/95d9J+y1w+6XcvrxR3p7AyREZSDYXJz7PBLWM03bmh8Gvi/WWUedvzVbAXwaDjCO9Cbs9K4sPkJO4JHkBmp1FUJXcPvxE7R6y/grjaTayp+YYi/yZigkaWL4m0Okd8zUaya5fjPIWMTU9jYkoyMf5kOtedzXn7DSQn9Yez3OpgNfevep5N3gWcVFXNzzIuwd/pqG3qrPOtY0LpBBbULABfFkdvyeDBmg9Ym3sBszofw4flHzK9cjoejPy6GHJriylISmF9rJHh7cARqUfSNbYry+qWMa1iGiFCDPbl8Ze1BVSEMvht+vmsTyvAF7OejMDBjO40klHrJhBb9BH3HXAW71d9SlZMFpd1vIzs2GwAttSGeGnaPM5sfx/3ZHbgt51+y6GPvhl+7obffT/24447bq8LiLOAEc65X9U/vgAY4py7ZkdtdjaDWLhxNssvOB+fC/HBmX5GWRrHdzuWpJ4nQI+jITEdgCfGv8uF839JoPMg0i57F7xb3wQWL17IwvG3cXDwc+pia9kUE4c3PoUEfx1ZtZV0bted2LNfwHXsy4riKmasLKGyLkCMx+jdKZmkpM2sqvqGwspCKn2VxHriSPC0J83blQPTB9AnO5O0hMiHQJxzTCmcwqNzHuWbkm9+8HxsyOhfF+SI2nIygx4K4/JYFExkU/x6ViTWkuTgmgMv4OzBNxDjCb8mXyDEDePn8vbcdRx7YDw9eyzng9XvURZaDhiDsw/jrLyfMTx7CJ7EDt9/CtpQVss/P1jMe/M2UO0PckB2Kj8ZkEVuznqWln9Nsnnpt+h9Dlo6leTeJ7PusFtwmX1Iiw2Rsv5z3Cf3MXvTHD7ukM3n6VksrSkCwGMe2sW1I+ACVPjCJ8WzAgEuLqvg5xWVGAn8O+mXPFN3PMVVPpwLXzKga/tEDshOZdB+6Qzr05G8jik/OARUtHox618Ywe86JVOekMTDx4/hiC5HgL+W4kcO45Jk+DbOy2MnPsrROdv+4Tf0whu/4r7yLzirIpfbrnoT82x9M3lk9iM8+fWT3OZPYuT69RxbdS9X/ORwLjtm20NEzjnWVq5lVfkqttSU0LtiE719fmK6Hwmd+uGA2WtK+cukd1gWfAlv4lrS6cLB/mzWbgmyLrGK2tSVOEIM6zaM4T2GM9gPmVP+ga2bDZl9qOs9nMJNZWSsmkh6YBNvx5/Ch12uYGi/npwxqCtej20znjUVa5ixYQZfbviSgm8/pC5Uy8/KjF+cOp6ePQ/YZvxPTv0Tj6x8i1+vzWWc53r+e+WRZLf74e0rq/xV/PbDW5m+ZiYdvFsYQTLnnfkK3dPrZ3BfPAnv/Z4Vg+9g1OcHUOsPktcxldUl1dT460jo/Aax6V/hrRzA0HVdGO6Zy4D4DWQkx/JS5878X90qfnvIdVzS/1c7/PfaqYqNBOeM46sZj3FPqrEsLo6Eih70Sfsl1x8zjEO7t8fMmLDkI/42/S7qXBE3lGzhF4N/T8zR10bs0jnHR2s+4oEZY1hTuZIYBx2CAYpiYog1Dz+LyeKSFXNp5zdeTv4FZ155J1+XfcW/vv4XczbNASDGYjgm5xhuPOxGuqV2o2jeZNJfP4813m78od3drIv5mPKEDzCPj8RQCJ/HSwg4tdep/HHIH0mO3Trzu+PtBbwwfRUzuz/AKXEbGdztWK5/Lvy3tbfPIKIWEG/MfZo7Zz/E7S8F6BXXgYNe/i+kZkfso6ouwD/vv4M/+x9m0yHXkXXaXwkGQ3z21pMcPPevxFqQml4j6ZA7CGrLwif8PF7oMRTyTgofN25mq8pXsXDzQirqqiip9LKpJJnS0gw2VQToVLmQ4yrfYUjgKzLcFuriM1hz4AncG+/ji6JZ7N9+f84/8HwGdx6M17x8uX4mT84az6rqOZiFCNZ2ZlCHE7h/5IV0Tum803HUBYI4R+RzIs7B9Eeh4F7wVYSPwwZ8EKgJn4MZ9gcYdAF4Y9lSu4WvNn7FopJFlNaW4vV4yUrMIj87n/6WTMyqTyGtazjI48LH1oMhh3MOjxkeT+NO8hZ9PZnAW+dwcfZ+bIo3zu7zczLXLeTVkpls9MRzxxH389MDTtxpH6FQkHOfP4a1oS3c7w7niIseh5h43v/2fW6YcgOnx2Xzt8VfcrXvWvqffDFXDuvVqLFF4pzj02VFPPj5OJbVTSIUWwhASmwaZ+adwegDRpOTmtOwASx8Ez5/AtZ+BeYJn+s6+ne7PFna0JbaLfzp3euYWjmbo6sCjOx5DyNPOo1Yr4eq0tWMfOMUetcGWVZ8L89deQK5mTvf56/+zyxSvxnPvZ7H4NSH4dCLwqv6nhlBVdejOGLV5XRKS+TJCw6lZ1YKgWCImau2MH15MVOKXmF54DUy4/bjNwOv54SehzF+yXjGzBrDKT1P4e6j7458XqspfFX4P3+U5+aO5amUeKo8Hrx17XEuG09sCQHvRrJ8Hv5RvJ5DhlyLHXfrLk+eh1yIV+ZP5h8Fb5Lj+YazfCs5ubKMdqE4xvmPZVrWuTx42SjaJW39QFhSW8LSLUvpm9GX1LjtZm5LJsG4cyFvOJzzInM3bOTF139FVmgRgf4X8Yv8S+ie1n2bJluqfBx570eM7J/NP4d6GDP+dJ5ul8L4SX1J8Mbv9QHRqENMDW0fEHXBOu758Hr+u34aQ2r93Dwpl9jkrG1+MZEsK6pg0RMXckroY+YnH47VltE/uJClcQeSddHzpHfdPyqvsdn5qiEmHjxenHNMXj2ZB796kDUVa7ap1iW5C8d0PZneSUM5tseAiJ8Gd1vVZpj9fHiVkCcGcodC7rHfv9H/2Io+eIj46X/hmoz9mZ/iI0CQ7jVxnHLw37nyiJ2Hw3eWbl7Cz98+iwN9tdxZlcbGQadw7eoJ9Al6eHr1cp7Q2qEyAAAOuElEQVT2n0rouNv4zQl5u+6sCTZUbSDGE0NGQsauVz75a8KBsQe/58en3MXjK8fR2+dn1OZc0pNyeSOhgHnxXg4rPYPbLvwj3Trsuv+VxVUMf3AK77W7h14186Hv6bD4PUIJ7flZ6B7W+FJ446qjdtjXZ+s+48/T/kxR/UwT4Phux/PAsAe+nw1HRXUJ5Z/cx2vfvMLsWA+rYhPpFPQwtLqUc6rqiB9+Jwy+rEldrthUyf3vL2bKgtV4QgG8iWlcfVweFx/VY9erk7b35b9g4o3Q+WDocghu1nO8447mqcw/8NqVR/6gvzGTl/Lg5CW8/9tj2L9TKoUf/5WRq8fzzGvpdEzP3esDIobwSeoTgLWET1Kf55xbsKM2DQNiXeU6fvvuBSysLeJXtR6u+ek4Cm8IL4LaVUAArC0qZuFLv+eg8mnEEWDDwGs5aNTVmHf3l4i1Bs45Fm9ZzLzieTjn6JXei0EdB+35p7C9SOnkf5I+7Q6qzFjiTadu1NscPrB/k/qYtOJD/jD1Rhx+Qmbk+P08tq6SJ3znc+DIX3PxUbm77mQv8MmKSfzxk1soxY/XORzGaamj+cOo35MS3/g35/v+9w0vFMzjw4FT6PjNi7jcY7kheDUTlgV4+fLDye/RYaft/UE/k1dPZnX5avKz85t3n60sgoVvwYqC8Hd8OuTCkb+BtC673WVJlY+Qc2Qkx+3ZsuYFb4S/u1S1CfIv4YPOv+ayV5dy48n7c83xWz+QlFb7GHZ/AYfu156nLz4MAJ+/hkP/M5h//SeGzh37790BAWBmPwEeIrzM9Rnn3F07q/9dQHy6uoA/FPyWYNDHXTE5HH/WK5CY/v0qpsYEhOzj1s0m5Ixg5v7Exu/ep+yZ6+dz99RnqVgTIrkih449j+K6kw7goC6N/y7B3qC4pph3V7zL5qoiDusyhKE5Tf+uS7UvwIkPTAHg7pM78eaSOt6cu4HbRvXlkqP3jTD90dSWQ00JtO8BhA/hfbBgI+9eezR5ncKHpm57az4vfr6Kd68dyoGdt67OOvS5AYx53k+3LoftVkC0qi/KOecmAhOb0uaJGQ/w2IJn6e338WDOKLoPv69RX0qTNqbLIDzs2aUD8jv34/Vz7scXCOFwxMfsm/tZZmImFx100R71kRQXw5MX5PObcbO4ePwqYjzG9Sfm8cujekRnkG1JQlr4p94dpx3EZ8uKueLFr3jh0iGsK63hxc9Xcf7h3bcJB4AUbyJBVwu7+c31VhUQTbW6bCWPLnyWUdW1/PnIO0gaeF5LD0nagD25dEFb0j+nHROvG8p/vljN0Lws+mT/cAmtNF1mSjyPn38olz03k+EPTqWiLkBWajy/O+mH50pTE9IJWinUlO7WtvbqgKgMVDOmynHuGeOxLgNbejgisp2kuBh+NTTyN8Nl9x3eM4PxVx7BbW8u4IheGVx8ZA/Sk+J+UC85IZ2geaF2y25tZ68OiFwXy+gLP4aUrJYeiojIj+qA7DRevWLny5lTY1MJer3h8xjBwDbf82qMvXqunJiZp3AQEdmBlLgUguYJr84qXdXk9nt1QMCeXRVTRGRflhybvPWWB8VLm9x+Lw8IERHZkdS4VILU32eieEmT2ysgRET2USmxKQRdCOeNhc2aQYiISL3wNZ4codhEKF7W5PYKCBGRfdR3V3oNxsTrEJOIiGyVEhe+XW4gJh6qi8P3s24CBYSIyD4qNTb87fXQd7ct3dy0w0wKCBGRfdR3M4jgd1elbuJSVwWEiMg+KiW2PiA8HvA0fSWTAkJEZB/1XUAEXAg69NQMQkREwr67lWkwFITMPAWEiIiEJcYkYhhBF4SM3lCyInzRvkZSQIiI7KPMDI95wwGRuT+E/E26aJ8CQkRkHxZj3q2HmKBJh5kUECIi+zCvx0vQBcKHmKBJ36huVQFhZgea2RNm9pqZXdnS4xER2dt5zUvQhSCpAyRlNmmpa1QCwsyeMbMiM5u/XfkIM1tsZsvM7OZd9eOcW+ScuwI4GzgqGmMTEWnLvJ76Q0zQ5JVM0ZpBPAuMaFhgZl7gUWAk0BcYbWZ965/rb2bvbPfTsf6504B3gYlRGpuISJsVnkHUr1xqYkBE5Z7UzrmpZtZju+LBwDLn3AoAM3sZOB1Y6JybB4zaQV8TgAlm9i7wnz0ZV/WMGQCsuuDCPelGRGSv1WFNOWUd6+8ql5EXvmhfI0UlIHagK7CmweNCYMjOGpjZMOBMIJ4dzCDM7HLgJiA9PT2dgoKCHfbXqf6/paWljR2ziMg+pTg7lal9ymj38cdkbq6lfxPaNiogzGwykB3hqVudc281YXs75ZwrAAp2UWcsMBYgPz/fDRs2bMeVv1kUraGJiOyVXlz4Ih/M+Ds3DzmIjjX7wfy7Gt22UQHhnDtxN8a1FujW4HFOfZmIiPxIBmQNAGDuprmclHNc+KJ9jdScy1xnAHlmlmtmccC5wIRm3J6IiGznwA4HEu+NZ3bRbPDGhC/a10jRWuY6DpgO9DGzQjO71DkXAK4BJgGLgFedcwuisT0REWmcWG8sB2UcxNyiueGCPiN23qCBaK1iGr2D8olouaqISIsa2HEgzy98ntpALQkn/RX4W6PatapvUouISPQNzBpIIBRg4eaFTWqngBAR2ccd3PFgAOZsmtOkdgoIEZF9XIeEDnRP686cIgWEiIhs5+Csg5m7aS7OuUa3UUCIiLQBgzoOoqS2hNUVqxvdRgEhItIGDMwaCNCkw0wKCBGRNqBnek9SY1ObdKJaASEi0gZ4zMOAjgM0gxARkR8amDWQ5aXLG11fASEi0kYM6jgIh1YxiYjIdvpn9sdjjX/bV0CIiLQRSbFJ9Gnfp9H1FRAiIm3I1QOvbnRdBYSISBtybLdjG11XASEiIhEpIEREJCIFhIiIRBSVO8pFi5mdAZwCpAFPO+feb+EhiYi0WdG6J/UzZlZkZvO3Kx9hZovNbJmZ3byrfpxzbzrnLgOuAM6JxthERGT3ROsQ07PANnfCNjMv8CgwEugLjDazvvXP9Tezd7b76dig+Z/q24qISAuJyiEm59xUM+uxXfFgYJlzbgWAmb0MnA4sdM7NA0Zt34+ZGXAv8J5zblakbZnZ5cBNQHp6ejoFBQXReAkiIrKd5jwH0RVY0+BxITBkF21+A5wItDOz3s65J7av4JwbC4wFyM/Pd8OGDYvOaEVEZBuNCggzmwxkR3jqVufcW9EajHPuYeDhaPUnIiK7r1EB4Zw7cTf6Xgt0a/A4p75MRET2As35PYgZQJ6Z5ZpZHHAuMKEZtyciIlEUrWWu44DpQB8zKzSzS51zAeAaYBKwCHjVObcgGtsTEZHmF61VTKN3UD4RmBiNbYiIyI9Ll9oQEZGIFBAiIhKRAkJERCJSQIiISEQKCBERiUgBISIiESkgREQkIgWEiIhEpIAQEZGIFBAiIhKRAkJERCJSQIiISEQKCBERiUgBISIiESkgREQkIgWEiIhE1KoCwsx6mtnTZvZaS49FRKSti9YtR58xsyIzm79d+QgzW2xmy8zs5l3145xb4Zy7NBpjEhGRPROtGcSzwIiGBWbmBR4FRgJ9gdFm1rf+uf5m9s52Px2jNBYREYmCaN2TeqqZ9diueDCwzDm3AsDMXgZOBxY65+YBo6KxbRERaR5RCYgd6AqsafC4EBiyswZmlgHcBQwys1ucc/dEqHM5cBOQnp6eTkFBQfRGLCIi32tUQJjZZCA7wlO3OufeitZgnHObgSt2UWcsMBYgPz/fDRs2LFqbFxGRBhoVEM65E3ej77VAtwaPc+rLRERkL9Ccy1xnAHlmlmtmccC5wIRm3J6IiERRtJa5jgOmA33MrNDMLnXOBYBrgEnAIuBV59yCaGxPRESaX7RWMY3eQflEYGI0tiEiIj+uVvVNahERaT0UECIiEpECQkREIlJAiIhIRAoIERGJSAEhIiIRKSBERCQiBYSIiESkgBARkYgUECIiEpECQkREIlJAiIhIRAoIERGJSAEhIiIRKSBERCQiBYSIiEQUlRsGRYuZJQOPAT6gwDn3UgsPSUSkzWrWGYSZPWNmRWY2f7vyEWa22MyWmdnNDZ46E3jNOXcZcFpzjk1ERHauuQ8xPQuMaFhgZl7gUWAk0BcYbWZ965/OAdbU/3+wmccmIiI70awB4ZybCpRsVzwYWOacW+Gc8wEvA6fXP1dIOCSafWwiIrJzLXEOoitbZwkQDoUh9f//OvCImZ0CvB2psZldDtwEpAO1ZragGce6M+2Aslbe/+700ZQ2jam7qzo7e35nz2UCxbvYdkvbV/eRprSLVr3d2U+0j+y4/+6Nau2c2+0fYDIwP8LP6Q3q9ADmN3h8FvBUg8cXAI/syTha4gcY29r7350+mtKmMXV3VWdnz+/iuZktvQ+01X2kKe2iVW939hPtI3ve/x7NIJxzJ+5Gs7VAtwaPc+rL9jYRZzitrP/d6aMpbRpTd1d1dvZ8c/+Om9u+uo80pV206u2r+0mr3kesPmWajZn1AN5xzvWrfxwDLAFOIBwMM4DznHMtdahI9kJmNtM5l9/S45DWS/vInmvuZa7jgOlAHzMrNLNLnXMB4BpgErAIeFXhILthbEsPQFo97SN7qNlnECIisnfSUlIREYlIASEiIhEpIEREJCIFhOz1zKynmT1tZq+19Fik9TKzM8zsX2b2ipmd3NLj2RsoIKRVasqFHl34si2XtsxIpSU1cT9504UvBHoFcE5LjHdvo4CQ1upZmnahR2mbnqXp+8mf6p+XXVBASKvkmn6hR2mDmrKfWNjfgfecc7N+7LHujRQQsjeJdKHHrmaWYWZPAIPM7JaWGZq0IhH3E+A3wInAWWZ2RUsMbG/Tqu4oJ7I7nHObCR9XFtkh59zDwMMtPY69iWYQsjfZVy70KM1L+0mUKCBkbzIDyDOzXDOLA84FJrTwmKT10X4SJQoIaZV0oUdpDO0nzUsX6xMRkYg0gxARkYgUECIiEpECQkREIlJAiIhIRAoIERGJSAEhIiIRKSBERCQiBYSIiESkgBARkYj+H5w5wd0aYVlSAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-27/X189665.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-06-27/X189664.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2023-06-27_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.rref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.tref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2024-11-05.ipynb b/calib_cernox_2024-11-05.ipynb new file mode 100644 index 0000000..b8391bf --- /dev/null +++ b/calib_cernox_2024-11-05.ipynb @@ -0,0 +1,367 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p2_c2.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p2_c4.dat')\n", + "{'selected': 1, 'averaged': 61}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X219219', 'CX-1050-SD-HT'),\n", + " Sensor(2, 'X219231', 'CX-1050-SD-HT'),\n", + " Sensor(4, 'X219225', 'CX-1050-SD-HT'),\n", + " ],\n", + " t_points = (1.2, 1.4) + logrange(1.6, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2024-11-05', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('z340', 'READ 2018-11-20/X133982.340')\n", + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('z340', 'READ 2018-11-20/X133928.340')\n", + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('z340', 'READ 2018-11-20/X131824.340')\n", + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('z340', 'READ 2018-11-20/X132254.340')\n", + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('z340', 'READ 2018-11-20/X137461.340')\n" + ] + }, + { + "ename": "IOError", + "evalue": "[Errno 2] No such file or directory: '2018-11-20/X137461.340'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m\u001b[0m", + "\u001b[0;31mIOError\u001b[0mTraceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtestlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-22/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-20/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompare_calib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdiff\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/home/l_samenv/sea/calib_scripts/zcalib.py\u001b[0m in \u001b[0;36mread_curve\u001b[0;34m(filename, kind, instance, **filterargs)\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"READ %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 121\u001b[0m \u001b[0mcurves\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mIOError\u001b[0m: [Errno 2] No such file or directory: '2018-11-20/X137461.340'" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2023-11-05/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2023-11-05/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-11-05/X219219.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAECCAYAAADkaECYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAIABJREFUeJzt3Xl8VeW97/HPb0+Zk01CQiAJg8gooGgEO2jRqgerFbW2iqd6bovl2HuxrT3F2um2t7aH9pzX7W2p9vRQpVStWrQOlKJWqxHr0IITMxKZEhBIIPO0p+f+kaghrkACOyaB7/v1yovsZz3PWr9sl/u711rPXtucc4iIiHTl6+8CRERkYFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIp0B/F/AuM8sAfgVEgDLn3O/7uSQRkZNanx5BmNlSMztgZhu6tM82s61mVm5mt3U0XwU87Jz7EnB5X9YlIiJH19enmJYBszs3mJkfuBO4BJgMzDWzyUAxUNHRLd7HdYmIyFH0aUA451YDh7o0zwDKnXPbnXMR4EFgDlBJe0j0eV0iInJ0/XENooj3jxSgPRhmAouBO8zsUuBP3Q02s/nAQiAcCoWGjh49ug9LFRE58bz11lvVzrn8o/UbMBepnXNNwBd60G8JsASgtLTUrV27tq9LExE5oZjZrp70649TOXuAkk6PizvaRERkAOmPgFgDjDOzMWYWAq4FVvRDHSIicgR9Pc31AeBlYIKZVZrZPOdcDFgAPAVsBpY75zb2ZR0iItJ7fXoNwjk3t5v2VcCqvty2iIgcH00nFRERTwoIERHxpIAQERFPCggREfGkgBAREU8KCBER8aSAEBERTwoIERHxpIAQERFPCggREfGkgBAREU8KCBER8aSAEBERTwoIERHxpIAQERFPCggREfE0oALCzE4xs7vN7OH+rkVE5GSXtIAws6VmdsDMNnRpn21mW82s3MxuO9I6nHPbnXPzklWTiIgcu2R+5egy4A7gnncbzMwP3AlcBFQCa8xsBeAHFnUZ/0Xn3IEk1iMiIschaQHhnFttZqO7NM8Ayp1z2wHM7EFgjnNuEXBZsrYtIiLJl8wjCC9FQEWnx5XAzO46m1ke8GNgupl9qyNIuvaZDywEwuFwmLKysuRWLCIiQN8HRK845w4CNx2lzxJgCUBpaambNWvWh1CZiMjJp69nMe0BSjo9Lu5oExGRAa6vA2INMM7MxphZCLgWWNHH2xQRkSRI5jTXB4CXgQlmVmlm85xzMWAB8BSwGVjunNuYrG2KiEjfSeYsprndtK8CViVrOyIi8uEYUJ+kFhGRgUMBISIinhQQIiLiSQEhIiKeFBAiIuJJASEiIp4UECIi4kkBISIinhQQIiLiSQEhIiKeFBAiIuJJASEiIp4UECIi4kkBISIinhQQIiLiSQEhIiKeFBAiIuIpad8olwxmdgVwKZAN3O2c+0s/lyQictJK5ndSLzWzA2a2oUv7bDPbamblZnbbkdbhnHvMOfcl4CbgmmTVJiIivZfMI4hlwB3APe82mJkfuBO4CKgE1pjZCsAPLOoy/ovOuQMdv3+3Y5yIiPSTpAWEc261mY3u0jwDKHfObQcwsweBOc65RcBlXddhZgb8BHjCOfea13bMbD6wEAiHw2HKysqS9SeIiEgnfX0Nogio6PS4Eph5hP43AxcCOWZ2qnPu1107OOeWAEsASktL3axZs5JXrYiIvGdAXaR2zi0GFvd3HSIi0vfTXPcAJZ0eF3e0iYjIANfXAbEGGGdmY8wsBFwLrOjjbYqISBIkc5rrA8DLwAQzqzSzec65GLAAeArYDCx3zm1M1jZFRKTvJHMW09xu2lcBq5K1HRER+XDoVhsiIuJJASEiIp4UECIi4kkBISIinhQQIiLiSQEhIiKeFBAiIuJJASEiIp4UECIi4kkBISIinhQQIiInkRVv9/x+qQoIEZGTyO83/77HfRUQIiInCeccFfUVR+/YQQEhInKSqG2rpSHa0OP+CggRkZPE7obdveqvgBAROUnsrh/EAWFmk8zs12b2sJl9ub/rERE5kexu2I3Pev6yn8yvHF1qZgfMbEOX9tlmttXMys3stiOtwzm32Tl3E/A54GPJqk1ERNqPIIZnDO9x/2QeQSwDZnduMDM/cCdwCTAZmGtmk81sqpmt7PJT0DHmcuDP6GtKRUSSqqKhgpKskh73T+Z3Uq82s9FdmmcA5c657QBm9iAwxzm3CLism/WsAFaY2Z+B+4+nppo/LKd+5crjWYWIyKCXfdllDLnmc+xu2M3M/At6PC5pAdGNIqDzpNtKYGZ3nc1sFnAVkEI3RxBmNh9YCITD4TBlZWXdbnzIffcRqKwkVlzc68JFRE4EgcpKamtreWloBnVtdby8KdrzsX1YV68558qAsqP0WQIsASgtLXWzZs3qtu+uu5dCOMyoe+9JXpEiIoPIrutvAMA3bSRUQlNrfo/H9vUspj1A5xNexR1tIiLyIXr3MxANDeEej+nrgFgDjDOzMWYWAq4Fen6nKBERSYrdDbsxjEQ0t8djkjnN9QHgZWCCmVWa2TznXAxYADwFbAaWO+c2JmubIiLSM7vrd5MVGAou2OMxyZzFNLeb9lVoyqqISL/a3bCbVIaRGuyHD8qJiMjAVVFfQSKSxylDM3s8RgEhInKCi7k4NW01NDbmcGqBAkJERDq0xVsBqKlXQIiISCdtsTYAEpE8xuYrIEREpENrxxFEIpKrIwgREXlfW6yNdF8uPkKMHpre43EKCBGRE1xrvI1gIp+RuemkBPw9HqeAEBE5wbXFW4m25vXq9BIoIERETmhxFyeaiFLfkMNYBYSIiLyrLd4+gynalturGUyggBAROaG1xt6dwaRTTCIi0sm7RxCJyFAdQYiIyPta4634CJCfmUVOWs/v5AoKCBGRE1pbrA1ckFN7efQACgg5yf2ubBW3/PYH7Khq7O9SBo+2RtjyZ0jE+7sS6YHWeBuJeLDX1x9AASEnsYONTTyw7Zs84/sj314+iyfWrOnvkga+aCs8cC08eB2svAWc6++K5Aiao81EExESiYACQqQ3fvboN9gTggsT2WzOaOXxNbfg9IJ3ZI/+K+x8gfLwx+G138FzP+7viuQIKhoq2n9xwV5foAYFhJykKqr3URZ9galtxs9ueJ5zXT6vp9WwZou+Ebdbe9+ATY9xa+pFXOYL83jax3Ev/RKaDvZ3ZdKN3Q27AXAJnWIS6bH7n/0J9X7jhnE3Yv4An5/xFZp9Pv78wu39XdqA1fLSr/lxbh5PDN9KMGcd38+to8pF4dXf9ndp0o1th3YCkBZIYVh2Sq/HD+6AiLXqHKgckzdrX6QwmuDic78MwIzJVzA65mcd66ltaO7n6gag5kP84+2VPJiTweyRV3L3xXfjS2njxoKRtL3yG4hHj2v18YTjzYpanti4k7f264jkeKyrrOXbj67nqw++zsNvvgHOz9j8bMys1+sK9EF9H5r66q1U3nkWReMvxSZdDkVngW9wZF5LrIXGSCPxeJRoHDJTMhiSltPfZSVPPAY1O2ip3kVjSyvNlklt6nBqCNMcTRD0+8hI8ZOZEmBIeoj8rBRSgz2/y+Tx2FNdweZQCxdFR+ALtM8LNzM+VXgxv6p+ghXP3MENV97a7fia1hpeO/Aaexv3UpJVwun5pzMkdciHUjtAY6SRN6veZEfdDppbawlFmpg4ZALTRn6C9LS+qaPx78v4eW4GmW4I/37e9wj6g3yjdCGL1tzOS3V1nL95BUz5zDGte9fBJhYsf5Zt0T8QyGo/xZcfmMKi87/JOcVTkvlnEE/EWbt/Lc/ufpb89HzOLTqXCbkTuh+QSMDGR6BxP3syT2NrYCItUUdhTiojwqkUZKXi9x39hdc5x876ndS11eEzH2PDY8kIZvSo5sZD+9i2ajFDdj1JbcZYwrO/zeiJ0z1Kdfz0yS389+rtpAX9ZKT4acqtJOhLITPl2F7qB1RAmNls4BeAH7jLOfeTI/WvCAa4JCtKVuUjTN7+IJNckMkFZzBpwuWMnHjlEbflnKMlGsc5yDjGJ6/b9bbW0nRoJ/v2lbOvejsHayrY21jJrtgB9vua2O+PUx344E4VjjtGxIzhiRD5vjwKM0oYlTeZ8SNnMGLUFAIZH96L0NE456ior+TN/eXsqNnH/oY6qK8m8+AWsprfIuGqqA7AvoCfRvMRMyMjkSAnbqS1ZROJFFLTNprGWD4p1sqQ4B5yUqpJCdYSCzTgDPz+VNKD+QzNmchpEy9n6oSPkRrq3Qd9vDy0+ufEzPjEqVcf1n7d+d/kruWreHXvo9yAd0A8ufNJbn/5duoj9e+1+czHjMIZXDTqIs4rPo/CjEJaInHermok4Ry56UGKgw1Quxvq90C0BQIpEB4FBZMh5H1//tZonJSADzPDOcff9/2dP2x+gNWVq4m42Af6Z7yU4NJAHp+bcA0TzryxfRudRBNRNh/cTEOkgRR/CtPypxHyh47+hCUSPLbubsrDIb5++r8R9Lf/N/jsxCu58/Xf8LNwgtLVvySrpwERbYVYC6SGeW5rFTf/YTVWdCcZmU18vPDT7KlpY0vD83zpmRv4wpj/wS0ZWdiht6GlFtLzIDyy/XkrOvMDf+ORbD6wju//7TtsbthJyIJEXJTFry3mex/5Hp8d/9kPDti/Effov/Knxu2sykjn7VCQwqYhvFT9ReKR4QD4fcawrBSGh9MYnpPKiHAaJbnpTCvKYeLwLKKJFpZtXMbjbz/OvqZ9h62+OLOYCbkTGD9kPBNzJzJ16FTy0/MP67N3xxa4Zw7T3T42+iYwvuZ5Qg88w5MTf8jF1yzA1xFOrdE4tz68jhVv7uXz54zk1tkTyQwFOH/5IrJTev79D13ZQJm1YWZ+4C3gIqASWAPMdc5t6m5MyohRbuRX/oXU1J1kp22nKaWOeMfrbnrC8f37wW8p3Dt3NG2JCJFElGgiRtRFiRIjYQl8iQBnD/0C3/v09WSn9v7Fp+nQDp59fSkvVb7M1ugB9vgTNHfzjiIj7hgRC5Dv0imwLDL9GThfiICL0Zpo5p14A/usmQP+CLWdMsucY0QsTlHUMSyRTVH6BKZOuIJzzr6cUPDoNccTjprmCAZkpwUJ+nt2lOWco6qhle37athdVc+uQ++wufY1drWt45DvLWL+I392INOlkRMYQlYggxCOWLyeQ7E69tF2xHEBB35nRM2R6PRU5sQdw6MZjE47jY9O/Ayfmn4xKT34+7v6/JIZ7PM18eS/vEGgy/j5v72ATW4/yz65glNHjT1s2b0b7+M/1v6Ukmg6t1YdYEq0ll3BIC+mp/JkZhYVgfbndXgklRHNqRTF2siyRgK+Ftr87f+fpSUcEyIRzmptozAeB18ACqfByHOgZAabA5P53fpWXig/yJ7aFnIyYGLRWupTn6cyWkVuwnFJQyOzIglG5J3Blsg4/lKdQhXv0Jq9jW2ZtUR9xmmROLPySxkx4RKqYi2U7XqFDYdeJ+Za33+eCXF+5gRuKziDgqIZUDITgmkfeL7qNv6Jz7xyK1ghT3/h2cNOVfxx6wp+8Mp3+OmBaj513cr2o3gv1dvglf+Craug4R0AWgM5lEVH8dMSR0NKC3ddfBdnDJsOB99myyv38aOKR3gzLcGFTc18p6aRoSk50HwIEu2nsxLBdKqGnsOmlGm84hvDJl+AjDQfJeEsPjJyDDOG5ZJ6cDsVbz/BvZXP8ggNDIknuKWmloubmqk3H1/PH8mb6XG+dubXmTf1C+/Xu/VJIn/8Ij/MyebxzCDBaB7TAj42uP3EfD4uHnE9U7I+w4G6GHvrWnintpV36lrYW9dKaqyBT/hepXnIRtbn7aHFH2Myw5kULyQ7lkJrIso71PJOsI0DwWZqXQ2O9v1jWPowphdM58pxV5JT5SP/0bmk0MbOi5dx+kcvpqZqL1W/vY4RzW/y47zPkDhtHMNSR/H0q2G27I2z8J8m8OVPjMXMqGqu4oKHLmDJ48MYkTGCUffe896fZ2avOudKj/g/CgMrID4C/MA5908dj78F4Jxb1KXffGAhEM7KLRi68Bf30RB1NEagIRqjPlZBmL+T4t/KlY8fpM2MxddCinOH/YQcpDpHeTDInmCAaU1Bzo6dyuScieRm5dOciFCXaKE+0UzcxUkkYiQSUZyL0hproCayj222n/UpjqgZaYkEI1uDhGNZZFo25s8iEMwhNTSUrIxhFGcWMjyU3+PzgE2xZnY0VLK/YRuHIrupSVRRY/XsC7YR61hFOJ5gRCSDIb4xFOaUMjU8kSGhTOojjoq6KC37y8muXU9+ZA951BHHRzU5HAgW0ZhWTCKjgESqj1arps1VEXX1RGKHiMVrSI03kuaaCPiaafXBPr+fjSkhEmZkx+N8tKWVs1vbGBuJkpvw0ZAxkarcadTnTYGUfLL8WQTM+8isLdFGVWQvdc3baIoexGchMlKLyUoZQU4gTKYvEzMj4RLURBqprNlIdf1rHIrvYlegkV2h9lNR6QlHQTREOJFNlq+AgoxpTMufTm6o+0P32pb9/GD/7ZzXlMdVp/2fDyzfcOBZ/rvlUT7XMJVzp8x/r31L81v86sAdfLQ5ws8P7OO10EdYbxPY32JkxOsZ6duPC1azM6uBN9PjbAsFaOl4o+B3RsAFiDsjZjHwJcDByPgwLoqmc2l9FaNaygm5CAA1LpNtKfk8mWX8JSNCnd/HhLYI19S3MCI6mTfTPsafWqaxuS5AwOCMAj/jh/gxg211dTRHV5DIXEdF6vsfZMuOpJLdVMDoaC6TXB0F7OCttAYey8ok4By3HKrlyrYgG6d8m4bs8Yc9J6+vv42l2U18JnU+s4ZNPWxZwiX43s5FpMf3sLjpFPaf/o3Dlje0NbCz/LdcUPc3xkYcm1Kns8M3hr0tfsLRPTxdXM66VGPx/io+1pbAWZBAvKn9ecgYw+2pxTydVYFzPjLbziArfgopbXFC0d0MCZUTS61mVwgOdvMlOOYczoyAg8l1uWRWzSQrq4hxWVHGtG5mcn0ZP893PJWZwSdj47k+51yGV79A+oFnuamgmI1pUBy7gK+OupzUgJ/s3ct5qOFJVmZmMDI0kuuHXk9hsBCAQLSRUTvuYX3di/xySBaVwSAzWlr5+qEaTot0f43mbfK4N/Vsdg0fSSytivK2rTQmGimJxLm8IUpu8dcoKDit/fmMN/BiXRnP1z1No+/9126XCHJ24GMs8KdTUrOBKtfMNzLqqfIl+NVDBaRYCjX/9vX3+p9//vmDLiCuBmY7527seHw9MNM5t6C7MaWlpW7t2rXdrnPX9ddDtIVRv/xx+zs1XwD8wfd/9wVoPfQ2d5Z9n0dad1DfsY+lJRK09OBaxrCIURQpYlz+xXzyrOs4o2QoaaG+PY8eiUd4dfvLvPjmQ+w49DoVdoidQT+uI3hyYjAi6hgXbaYwHiOEI2HpxIKZNFqC5kQzDRZjTyBARTBAk8ffmZFI4DAcPtIsRIY/hdxAGjMzijg3+xSmZhTh96dAKANySmDY5PbfPwyJBDu3PcfTrz/IlroNVLl69gUS7Au0PwehhOOcwHS+O+cXDM/O/cDw/1x+E/e0vMhPRt3KpbOu/8DyeCLOBcvOoCgS5/9d/QLDhuaxu34PVz1yJYXRBpbU+Cn85/vwFZ0BtB9lHWqKUNcSJS8z5bB73TRHmwn4Au+dxmmNxvn7jmpWbHqVl955nvrAK/hCh3CJIInm0ZT40hmf2US9VbEuXkfcwaxgLtcNO5c2V8r9u3N5bkcTfjNG5qZz9VnFXHVmEXmZh59micUTrNlZw9/XPklx1ZOc2fgqp7Tueb9DIA2KzqJl3KUs2Z/Jb/f/kXjGdj7S5viP6mrCn74Dpraffju47a9cvfpmMhJD+NONf/N8g/PXnX/ja89/ma8eqmXeFfdjY86lNdbKwie/z0tVq4h07GL+WA6tBy8g1Ho2JUMhpfAhtjW8zo+mLWCOS4eqLe0Xu4eMhomXwpBRADy24XXuXv87drX9DWfvH336LUBJ5ilMyRnJZOdjbGMN6c2HqItG2UYaW6M+KqJB9sVOIS9lJp8cP5ErpxcxPOf9oyQXbWXTyp/z2z338FSWn2mtbZzZ2sZDmbk0+eFLk77JV2Zee/gf/Nwi/rLmF9w+bDiNPphZOJMJ0Th1u/7GCyE4EAgwPrOEW86+lY8Vn4dFm3DRFswXAPOBz9/+b1MVkV1rqHlxKcOqXqLJpfCaGw8Wpy5zJ/dm57Ip1Yff/EzKnYTf52dj9UZiLsasovO4pq6RszY8ztbUTO7LzeWpkCPoHOPisNVvpDrHf+3bT+4/zoLMgkF/BNEHAXEDwGFPTHfa4m2s3PQEa7a/TE1TNVm+TLL8mWT6Mwn6Avh8QXz+FPz+NFLShjB6+OmcUTyCcHoPzuH2pXiMyk3PsHbDY7xdt5E9vlb2+h17Ao5aIod1DfgC5IRyCIeyGBHIotiXSn4ileGhXIalFZKVVsDwgnHkFE3u1bnd/uairezf9TovrXuY5/c/zXNpCYbHgtx11UpKcosO63vlb84g7mI8Om8d/m5Otf3mrz9kceVDfLZlHF/5l3u54sHLaWEfd1cnmDL/acgpTkrd79Q188Luf/Dy/mfZVv8Gh9qq8ZmPUdmjOLPgTD43/nOUZJcc/rc6d0yzUWith+bq9hem7KL2N0od3j7QwI2PLaY6+BAFzrHowDvMOONGmoumM/+l/82GFD/fnPQT5s68rNvVf/rBz7O35Q0W1LbCpBu4952nqPLVc1lDC2eOuo7AxOk8su0R3qh6A4CABQj6g3xrxre4ctyRrxe+K56Is6thF02RJrJCWRRlFRH0Hf81KYBoNMrP/vJTHq36M000MTbrTL7z0a9x9vAzPtjZOVj9n1S/8B/8LjyEZ9KC7PP7yMDHWcPO4pKJ13DRqIvw+3r+ZtHt28D+ZxZj+9bjizbSPOmzFF+0gLcj1azavopNBzcRTUSZMnQKc8bO4dQhp7bXsf052Pok1FWyMa+ElYEYG1oPcHbh2Vwx+hJG/u4qdj2ZCgWTBn1A9OgUU2fJDIgTkXPuvW+Tcs6RFkg7theXwSQR549//BqLGp+lIB5i6dWrKAy3X1BcX76a6178X1wRm8Dt8x7ufhUuwXVLP8J2XyPBhJ/6gGNRrY/Lbljx3rvaE000nmDhipU8U/2fWKiWSW0RDvp9VPv9fCrrCyz6zL8dcXx1czVfePTL7IxtAWBENMb/bM7hU5+9i+Dw9plIzjn+se8frKtaR11bHddMuOYDAdjfIvEILbEWclJ6MKNwz2uwdmn7m6niGTD1swNvFuWKm9n1f5+CkTMZde+97zUPxoAI0H6R+pPAHtovUl/nnOv2o60KCOnO75ffws+anmZ4PMQ91zxBdtoQ5v3uPNb5G7lz+q/46OnnHXF8eeVrfP0vNzIqmuCTwSKumHsf9NEU0oHkiY27uf35u2iyf5AdDzAt72LuuPbmHr2xcM5x90v3E6jfz5zR0xky4RMD7wXzZLPhj+z68kIYfjqjlj/6XvOgCwgAM/sU8HPap7kudc4d8UYvCgg5krse+Cq/avsrOXFjuKWz3t/M5S2T+NG//uHEP5I6DvGEY/ehZorCaYQCeoEf1Jqq2TV7BgwZxagVz73X3NOAGFD/9Z1zq5xz451zY48WDiJHc+PcX3BT6uWURBybfU2c35jH9754v8LhKPw+Y8zQDIXDiSBjaPsEkpbaYxo+oD4oJ5Js86/9d/657Ye88MabnDNlCqkh7fJykkkLQ/07EItAoHeTavQWQU54GSkBZs88i3DG4JmZJZI0oQxwCajZ2euhCggRkRNZoONzH4fe7vVQBYSIyIns3dunHCzv9VAFhIjIicwXAH8ADuoIQkREugqk6QhCREQ8BNPg0PZeD1NAiIic6IJp7d9FEundtyUqIERETnTvzWTq3VGEAkJE5EQXTG3/t5fXIRQQIiInumOc6qqAEBE50ZkfMgt1iklERDzknaojCBER8ZB3Sq8/LKeAEBE5GeSd2v61s7249bcCQkTkZJB3avu/vbhpnwJCRORkkDu2/d9enGZSQIiInAxyxwCmgBARkS4CKRAu6dVMpgEVEGY2ycx+bWYPm9mX+7seEZETSt6pH/41CDNbamYHzGxDl/bZZrbVzMrN7Lajrcc5t9k5dxPwOeBjyahNREQ65I7tl1NMy4DZnRvMzA/cCVwCTAbmmtnkjmVTzWxll5+CjmWXA38GViWpNhERgfYjiLb6HncPJGObzrnVZja6S/MMoNw5tx3AzB4E5gCbnHPrgcu6WdcKYIWZ/Rm4/3jqal6zBoBd199wPKsRERm0WrdsIXXixPYH70517aGkBEQ3ioCKTo8rgZlHGmBms4CrgBS6OYIws/nAQiAcDocpKyvrdn3DOv6tre35B0NERE4ohYXUjh/HjrIyUluqOKcXQ3sUEGb2DFDoseg7zrnHe7G9I3LOlQFlR+mzBFgCUFpa6mbNmtV95y2bk1WaiMjgF4/Bmpt73L1HAeGcu/AYStkDlHR6XNzRJiIi/cEfgCGjgYM96t6X01zXAOPMbIyZhYBrgRV9uD0RETma0R/vcddkTXN9AHgZmGBmlWY2zzkXAxYATwGbgeXOuY3J2J6IiByjT/+8x12TNYtpbjftq9B0VRGRQWlAfZJaREQGDgWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiKekfKNcspjZFcClQDZwt3PuL/1ckojISStZ30m91MwOmNmGLu2zzWyrmZWb2W1HW49z7jHn3JeAm4BrklGbiIgcm2SdYloGzO7cYGZ+4E7gEmAyMNfMJncsm2pmK7v8FHQa/t2OsSIi0k+ScorJObfazEZ3aZ4BlDvntgOY2YPAHGCTc249cFnX9ZiZAT8BnnDOvea1LTObDywEwuFwmLKysmT8CSIi0kVfXoMoAio6Pa4EZh5lzM3AhUCOmZ3qnPt11w7OuSXAEoDS0lI3a9as5FQrIiKH6VFAmNlWgwpsAAAFV0lEQVQzQKHHou845x5PVjHOucXA4mStT0REjl2PAsI5d+ExrHsPUNLpcXFHm4iIDAJ9+TmINcA4MxtjZiHgWmBFH25PRESSKFnTXB8AXgYmmFmlmc1zzsWABcBTwGZguXNuYzK2JyIifS9Zs5jmdtO+CliVjG2IiMiHS7faEBERTwoIERHxpIAQERFPCggREfGkgBAREU8KCBER8aSAEBERTwoIERHxpIAQERFPCggREfGkgBAREU8KCBER8aSAEBERTwoIERHxpIAQERFPCggREfE0oALCzE4xs7vN7OH+rkVE5GSXrK8cXWpmB8xsQ5f22Wa21czKzey2o63HObfdOTcvGTWJiMjxSdYRxDJgducGM/MDdwKXAJOBuWY2uWPZVDNb2eWnIEm1iIhIEiTrO6lXm9noLs0zgHLn3HYAM3sQmANscs6tBy5LxrZFRKRvJCUgulEEVHR6XAnMPNIAM8sDfgxMN7NvOecWefSZDywEwuFwmLKysuRVLCIi7+lRQJjZM0Chx6LvOOceT1YxzrmDwE1H6bMEWAJQWlrqZs2alazNi4hIJz0KCOfchcew7j1ASafHxR1tIiIyCPTlNNc1wDgzG2NmIeBaYEUfbk9ERJIoWdNcHwBeBiaYWaWZzXPOxYAFwFPAZmC5c25jMrYnIiJ9L1mzmOZ2074KWJWMbYiIyIdrQH2SWkREBg4FhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4SsoXBiWLmWUAvwIiQJlz7vf9XJKIyEmrT48gzGypmR0wsw1d2meb2VYzKzez2zotugp42Dn3JeDyvqxNRESOrK9PMS0DZnduMDM/cCdwCTAZmGtmkzsWFwMVHb/H+7g2ERE5gj4NCOfcauBQl+YZQLlzbrtzLgI8CMzpWFZJe0j0eW0iInJk/XENooj3jxKgPRRmdvz+CHCHmV0K/MlrsJnNBxYCYaDVzDb2Ya1HkgPUDfD1H8s6ejOmJ32P1udIy4+0bChQfZRt97cTdR/pzbhk9TuW/UT7SPfrH9Wj0c65Y/4BngE2ePzM6dRnNLCh0+Orgbs6Pb4euON46uiPH2DJQF//sayjN2N60vdofY60/CjL1vb3PnCy7iO9GZesfseyn2gfOf71H9cRhHPuwmMYtgco6fS4uKNtsPE8whlg6z+WdfRmTE/6Hq3PkZb39XPc107UfaQ345LV70TdTwb0PmIdKdNnzGw0sNI5N6XjcQB4C/gk7cGwBrjOOddfp4pkEDKztc650v6uQwYu7SPHr6+nuT4AvAxMMLNKM5vnnIsBC4CngM3AcoWDHIMl/V2ADHjaR45Tnx9BiIjI4KSppCIi4kkBISIinhQQIiLiSQEhg56ZnWJmd5vZw/1diwxcZnaFmf3GzP5gZhf3dz2DgQJCBqTe3OjRtd+2ZV7/VCr9qZf7yWOu/UagNwHX9Ee9g40CQgaqZfTuRo9yclpG7/eT73Ysl6NQQMiA5Hp/o0c5CfVmP7F2PwWecM699mHXOhgpIGQw8brRY5GZ5ZnZr4HpZvat/ilNBhDP/QS4GbgQuNrMbuqPwgabAfWNciLHwjl3kPbzyiLdcs4tBhb3dx2DiY4gZDA5UW70KH1L+0mSKCBkMFkDjDOzMWYWAq4FVvRzTTLwaD9JEgWEDEi60aP0hPaTvqWb9YmIiCcdQYiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIp/8PtawX/D2o9qoAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-11-05/X219231.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-11-05/X219225.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-05_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X219219.340 X219225.340 X219231.340\r\n" + ] + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.rref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.tref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/calib_cernox_2024-11-08.ipynb b/calib_cernox_2024-11-08.ipynb new file mode 100644 index 0000000..bee3a52 --- /dev/null +++ b/calib_cernox_2024-11-08.ipynb @@ -0,0 +1,374 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p2_c1.dat')\n", + "{'selected': 4, 'averaged': 57}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p2_c2.dat')\n", + "{'selected': 0, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p2_c4.dat')\n", + "{'selected': 3, 'averaged': 58}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X219230', 'CX-1050-SD-HT'),\n", + " Sensor(2, 'X219226', 'CX-1050-SD-HT'),\n", + " Sensor(4, 'X219227', 'CX-1050-SD-HT'),\n", + " ],\n", + " t_points = (1.2, 1.4) + logrange(1.6, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2024-11-08', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2018-11-22/X133982.340')\n", + "('z340', 'READ 2018-11-20/X133982.340')\n", + "('z340', 'READ 2018-11-22/X133928.340')\n", + "('z340', 'READ 2018-11-20/X133928.340')\n", + "('z340', 'READ 2018-11-22/X131824.340')\n", + "('z340', 'READ 2018-11-20/X131824.340')\n", + "('z340', 'READ 2018-11-22/X132254.340')\n", + "('z340', 'READ 2018-11-20/X132254.340')\n", + "('z340', 'READ 2018-11-22/X137461.340')\n", + "('z340', 'READ 2018-11-20/X137461.340')\n" + ] + }, + { + "ename": "IOError", + "evalue": "[Errno 2] No such file or directory: '2018-11-20/X137461.340'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m\u001b[0m", + "\u001b[0;31mIOError\u001b[0mTraceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtestlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-22/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2018-11-20/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompare_calib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdiff\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/home/l_samenv/sea/calib_scripts/zcalib.py\u001b[0m in \u001b[0;36mread_curve\u001b[0;34m(filename, kind, instance, **filterargs)\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"READ %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 121\u001b[0m \u001b[0mcurves\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mIOError\u001b[0m: [Errno 2] No such file or directory: '2018-11-20/X137461.340'" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2023-11-05/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2023-11-05/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-11-08/X219230.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-11-08/X219226.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-11-08/X219227.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-11-08_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " #plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X219219.340 X219225.340 X219231.340\n" + ] + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.rref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run.tref" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/calib_cernox_2024-12-06.ipynb b/calib_cernox_2024-12-06.ipynb new file mode 100644 index 0000000..f7c2968 --- /dev/null +++ b/calib_cernox_2024-12-06.ipynb @@ -0,0 +1,690 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c1.dat')\n", + "(15258.68, 1786.369, 20544.125265674887, 10.500493607801573)\n", + "(18736.18, 25480.67, 1.88352736694433, -0.9999260801475416)\n", + "{'selected': 4, 'averaged': 55}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c2.dat')\n", + "(15248.38, 1469.515, 14672.470993977638, 8.984567012910816)\n", + "(18715.13, 17977.81, 2.2962777513343333, -0.9998722715530237)\n", + "{'selected': 4, 'averaged': 55}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c4.dat')\n", + "(15238.75, 1213.462, 10503.50589053061, 7.655817726909134)\n", + "(18742.71, 12637.2, 2.639492752373098, -0.999791133102873)\n", + "{'selected': 4, 'averaged': 55}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c5.dat')\n", + "(15229.03, 1851.737, 18563.677039786682, 9.025007352440806)\n", + "(18760.93, 22892.35, 2.543014843352976, -0.9998889142074382)\n", + "{'selected': 4, 'averaged': 55}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c6.dat')\n", + "(15219.33, 1719.351, 16133.874058825291, 8.383700046602055)\n", + "(18774.43, 19870.37, 2.703731731772659, -0.9998639314853335)\n", + "{'selected': 4, 'averaged': 55}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X225622', 'CX-1050-SD-HT'),\n", + " Sensor(2, 'X225623', 'CX-1050-SD-HT'),\n", + " Sensor(4, 'X225624', 'CX-1050-SD-HT'),\n", + " Sensor(5, 'X196718', 'CX-1050-CU-HT'),\n", + " Sensor(6, 'X196719', 'CX-1050-CU-HT'),\n", + " ],\n", + " t_points = (1.2, 1.4) + logrange(1.6, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2024-12-06', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-11-05/X133982.340')\n" + ] + }, + { + "ename": "IOError", + "evalue": "[Errno 2] No such file or directory: '2023-11-05/X133982.340'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m\u001b[0m", + "\u001b[0;31mIOError\u001b[0mTraceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mtestlist\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X133982'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X133928'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X131824'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X132254'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X137461'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtestlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2023-11-05/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2023-11-05/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompare_calib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/home/l_samenv/sea/calib_scripts/zcalib.pyc\u001b[0m in \u001b[0;36mread_curve\u001b[0;34m(filename, kind, instance, **filterargs)\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"READ %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 121\u001b[0m \u001b[0mcurves\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mIOError\u001b[0m: [Errno 2] No such file or directory: '2023-11-05/X133982.340'" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2023-11-05/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2023-11-05/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X225622.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c1.dat')\n", + "(1.684022493682333e-14, 1.2, 5.239156889296299e+18, 4.365964074413583e+18)\n", + "(1.9349768431510698e-08, 1.4, 2522887954413.2397, 1802062824579.8857)\n", + "(0.0011041781650934638, 1.6, 27784579.402813975, 17365361.126758732)\n", + "(0.009000264846393347, 1.6438017078531195, 3118461.970852214, 1897102.498526637)\n", + "(0.07069809045478842, 1.6888025342130204, 363766.01822266355, 215397.78751554457)\n", + "(0.5357209973359398, 1.7350353062287744, 44054.244487024516, 25389.97869009918)\n", + "(3.9200406912003594, 1.7825337497276996, 5533.198555798439, 3103.1199397451473)\n", + "(27.727089648395893, 1.8313325138176362, 719.9926044442835, 392.1523079571012)\n", + "(189.75849555752626, 1.8814671961627354, 103.81835737423089, 54.17946716582097)\n", + "(1257.73428224644, 1.932974368951203, 14.592320351907075, 6.549153566803167)\n", + "(6177.070831745967, 1.9858916055739333, 3.7817188567622106, 0.9042926845291104)\n", + "(14867.7489823991, 2.0402575080335033, 2.2719839481732893, 0.11357705545861951)\n", + "(21266.516812125887, 2.153495031258826, 1.9119858855229528, -0.11214752865935293)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X225623.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c2.dat')\n", + "(1.186411202347334e-13, 1.2, 2.38940646845059e+18, 1.9911720570421586e+18)\n", + "(6.299100149941419e-08, 1.4, 1541617880443.3313, 1101155628887.094)\n", + "(0.001961094269860624, 1.6, 21359748.131468836, 13349841.58216802)\n", + "(0.014233182841033603, 1.6438017078531195, 2505161.350498515, 1524003.5916306844)\n", + "(0.09975405624021356, 1.6888025342130204, 305129.05427211727, 180676.75722180982)\n", + "(0.6757747137778336, 1.7350353062287744, 38555.637599769594, 22220.81730905124)\n", + "(4.429288887300108, 1.7825337497276996, 5048.901106183002, 2831.429460005609)\n", + "(28.115335127614266, 1.8313325138176362, 684.4790295813203, 372.7601033219468)\n", + "(172.9927174851328, 1.8814671961627354, 103.00776166307195, 53.748635465532935)\n", + "(1032.6963190839779, 1.932974368951203, 14.923178052898686, 6.720318640849714)\n", + "(4677.2137558093655, 1.9858916055739333, 3.8329369413611083, 0.9300836614661901)\n", + "(10791.314793581914, 2.0402575080335033, 2.279627088609278, 0.11732322005102713)\n", + "(15227.108219476646, 2.153495031258826, 1.9078454546049401, -0.11407018501932249)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X225624.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c4.dat')\n", + "(9.162049895191193e-13, 1.2, 9.137509663688955e+17, 7.614591386407462e+17)\n", + "(2.1814554907929383e-07, 1.4, 840679845419.602, 600485603870.1443)\n", + "(0.0036192295287602186, 1.6, 15388839.53593637, 9618023.709960232)\n", + "(0.02328368488428053, 1.6438017078531195, 1903785.283492775, 1158158.9376601244)\n", + "(0.14495575670665126, 1.6888025342130204, 244359.84338702093, 144693.14773876584)\n", + "(0.8740973991236258, 1.7350353062287744, 32508.798590676288, 18735.67842606415)\n", + "(5.10995685191201, 1.7825337497276996, 4478.0675534745415, 2511.192296027277)\n", + "(28.986704050539693, 1.8313325138176362, 638.0575810751168, 347.41164903745846)\n", + "(159.6902972273336, 1.8814671961627354, 100.64895889740075, 52.4949315633432)\n", + "(855.1018487858656, 1.932974368951203, 15.154695056788793, 6.840091053567077)\n", + "(3554.583832248966, 1.9858916055739333, 3.8794765163661245, 0.953518764809389)\n", + "(7838.488532003627, 2.0402575080335033, 2.2883690852308867, 0.12160797165085553)\n", + "(10894.987596606765, 2.153495031258826, 1.906028855949233, -0.11491374334164894)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X196718.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c5.dat')\n", + "(1.3424229440811202e-13, 1.2, 4.391603853378868e+18, 3.6596698778157235e+18)\n", + "(7.300713230803861e-08, 1.4, 2486274311278.535, 1775910222340.811)\n", + "(0.0023161845780074485, 1.6, 31089984.00007518, 19431239.000046987)\n", + "(0.01687117580361923, 1.6438017078531195, 3575408.3962517288, 2175083.974769479)\n", + "(0.1186628736046488, 1.6888025342130204, 427158.98894273036, 252935.01844444525)\n", + "(0.8066781935779611, 1.7350353062287744, 52961.00527858911, 30523.4539338532)\n", + "(5.305426949734293, 1.7825337497276996, 6807.218721613024, 3817.844228140363)\n", + "(33.790310154489624, 1.8313325138176362, 906.0987595209766, 493.7756634496174)\n", + "(208.60017566904767, 1.8814671961627354, 128.08265758122585, 67.07594511477599)\n", + "(1249.3193569081734, 1.932974368951203, 15.955549260470914, 7.254402912299405)\n", + "(5746.999929657699, 1.9858916055739333, 3.8325265570136584, 0.929877011543154)\n", + "(13426.64857012389, 2.0402575080335033, 2.284892825316375, 0.1199041377471331)\n", + "(19122.252061865427, 2.153495031258826, 1.9172103740818727, -0.10972147775926522)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X196719.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c6.dat')\n", + "(3.3192529737538615e-13, 1.2, 2.3856617472746424e+18, 1.988051456062202e+18)\n", + "(1.2657056343498644e-07, 1.4, 1698888880789.25, 1213492057705.6072)\n", + "(0.003039007563796919, 1.6, 25434886.997104194, 15896803.37319012)\n", + "(0.020985595690073515, 1.6438017078531195, 3027715.9380163653, 1841897.5231319058)\n", + "(0.14006087390864755, 1.6888025342130204, 374192.5139895679, 221571.68621339503)\n", + "(0.9043275030010479, 1.7350353062287744, 47964.62205718413, 27643.752752287637)\n", + "(5.653994613598158, 1.7825337497276996, 6370.070419164438, 3572.6043820418727)\n", + "(34.26192971306782, 1.8313325138176362, 875.6236712873967, 477.13472686183695)\n", + "(201.41097945571718, 1.8814671961627354, 127.64014521606214, 66.84074974912402)\n", + "(1149.5944079881458, 1.932974368951203, 16.294805202794894, 7.429912710966861)\n", + "(5107.839116510911, 1.9858916055739333, 3.8749138493926036, 0.9512212240167724)\n", + "(11735.009083053337, 2.0402575080335033, 2.2924373956411404, 0.1236019897560382)\n", + "(16659.006995260028, 2.153495031258826, 1.9152777395363252, -0.11061891867159357)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X225622.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c1.dat')\n", + "(1.684022493682333e-14, 1.2, 5.239156889296299e+18, 4.365964074413583e+18)\n", + "(1.9349768431510698e-08, 1.4, 2522887954413.2397, 1802062824579.8857)\n", + "(0.0011041781650934638, 1.6, 27784579.402813975, 17365361.126758732)\n", + "(0.009000264846393347, 1.6438017078531195, 3118461.970852214, 1897102.498526637)\n", + "(0.07069809045478842, 1.6888025342130204, 363766.01822266355, 215397.78751554457)\n", + "(0.5357209973359398, 1.7350353062287744, 44054.244487024516, 25389.97869009918)\n", + "(3.9200406912003594, 1.7825337497276996, 5533.198555798439, 3103.1199397451473)\n", + "(27.727089648395893, 1.8313325138176362, 719.9926044442835, 392.1523079571012)\n", + "(189.75849555752626, 1.8814671961627354, 103.81835737423089, 54.17946716582097)\n", + "(1257.73428224644, 1.932974368951203, 14.592320351907075, 6.549153566803167)\n", + "(6177.070831745967, 1.9858916055739333, 3.7817188567622106, 0.9042926845291104)\n", + "(14867.7489823991, 2.0402575080335033, 2.2719839481732893, 0.11357705545861951)\n", + "(21266.516812125887, 2.153495031258826, 1.9119858855229528, -0.11214752865935293)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X225623.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c2.dat')\n", + "(1.186411202347334e-13, 1.2, 2.38940646845059e+18, 1.9911720570421586e+18)\n", + "(6.299100149941419e-08, 1.4, 1541617880443.3313, 1101155628887.094)\n", + "(0.001961094269860624, 1.6, 21359748.131468836, 13349841.58216802)\n", + "(0.014233182841033603, 1.6438017078531195, 2505161.350498515, 1524003.5916306844)\n", + "(0.09975405624021356, 1.6888025342130204, 305129.05427211727, 180676.75722180982)\n", + "(0.6757747137778336, 1.7350353062287744, 38555.637599769594, 22220.81730905124)\n", + "(4.429288887300108, 1.7825337497276996, 5048.901106183002, 2831.429460005609)\n", + "(28.115335127614266, 1.8313325138176362, 684.4790295813203, 372.7601033219468)\n", + "(172.9927174851328, 1.8814671961627354, 103.00776166307195, 53.748635465532935)\n", + "(1032.6963190839779, 1.932974368951203, 14.923178052898686, 6.720318640849714)\n", + "(4677.2137558093655, 1.9858916055739333, 3.8329369413611083, 0.9300836614661901)\n", + "(10791.314793581914, 2.0402575080335033, 2.279627088609278, 0.11732322005102713)\n", + "(15227.108219476646, 2.153495031258826, 1.9078454546049401, -0.11407018501932249)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X225624.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c4.dat')\n", + "(9.162049895191193e-13, 1.2, 9.137509663688955e+17, 7.614591386407462e+17)\n", + "(2.1814554907929383e-07, 1.4, 840679845419.602, 600485603870.1443)\n", + "(0.0036192295287602186, 1.6, 15388839.53593637, 9618023.709960232)\n", + "(0.02328368488428053, 1.6438017078531195, 1903785.283492775, 1158158.9376601244)\n", + "(0.14495575670665126, 1.6888025342130204, 244359.84338702093, 144693.14773876584)\n", + "(0.8740973991236258, 1.7350353062287744, 32508.798590676288, 18735.67842606415)\n", + "(5.10995685191201, 1.7825337497276996, 4478.0675534745415, 2511.192296027277)\n", + "(28.986704050539693, 1.8313325138176362, 638.0575810751168, 347.41164903745846)\n", + "(159.6902972273336, 1.8814671961627354, 100.64895889740075, 52.4949315633432)\n", + "(855.1018487858656, 1.932974368951203, 15.154695056788793, 6.840091053567077)\n", + "(3554.583832248966, 1.9858916055739333, 3.8794765163661245, 0.953518764809389)\n", + "(7838.488532003627, 2.0402575080335033, 2.2883690852308867, 0.12160797165085553)\n", + "(10894.987596606765, 2.153495031258826, 1.906028855949233, -0.11491374334164894)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X196718.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c5.dat')\n", + "(1.3424229440811202e-13, 1.2, 4.391603853378868e+18, 3.6596698778157235e+18)\n", + "(7.300713230803861e-08, 1.4, 2486274311278.535, 1775910222340.811)\n", + "(0.0023161845780074485, 1.6, 31089984.00007518, 19431239.000046987)\n", + "(0.01687117580361923, 1.6438017078531195, 3575408.3962517288, 2175083.974769479)\n", + "(0.1186628736046488, 1.6888025342130204, 427158.98894273036, 252935.01844444525)\n", + "(0.8066781935779611, 1.7350353062287744, 52961.00527858911, 30523.4539338532)\n", + "(5.305426949734293, 1.7825337497276996, 6807.218721613024, 3817.844228140363)\n", + "(33.790310154489624, 1.8313325138176362, 906.0987595209766, 493.7756634496174)\n", + "(208.60017566904767, 1.8814671961627354, 128.08265758122585, 67.07594511477599)\n", + "(1249.3193569081734, 1.932974368951203, 15.955549260470914, 7.254402912299405)\n", + "(5746.999929657699, 1.9858916055739333, 3.8325265570136584, 0.929877011543154)\n", + "(13426.64857012389, 2.0402575080335033, 2.284892825316375, 0.1199041377471331)\n", + "(19122.252061865427, 2.153495031258826, 1.9172103740818727, -0.10972147775926522)\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAECCAYAAADkaECYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAIABJREFUeJzs3Xd81PX9wPHX52b2npCwNwEZYSkqiCgWHIit4sA9avWnFa1abWtbcVTrRKuIiBtwISCKlYoMUZbsMMNKQgbZ63K5u8/vj8uFjMsALiTE9/PxuAfed34Oj+/7Puv9UVprhBBCiLoMrV0AIYQQbZMECCGEEF5JgBBCCOGVBAghhBBeSYAQQgjhlQQIIYQQXkmAEEII4ZUECCGEEF6ZWrsAHkqpQOB1wA6s0Fp/2MpFEkKIX7UWrUEopeYopbKVUtvrbJ+glNqtlNqnlHqkavOVwKda69uBy1qyXEIIIZrW0k1Mc4EJNTcopYzAa8AlQD9gqlKqH5AAHKk6zNnC5RJCCNGEFg0QWuuVQF6dzcOBfVrrVK21HZgHXA6k4Q4SLV4uIYQQTWuNPoiOHK8pgDswjABeAWYqpSYCixs6WSl1B/AQEGaxWKK6dOnSgkUVQoi24Yj9CMHGYMKMYad8rT179hzTWkc3dVyb6aTWWpcCNzfjuFnALIDk5GS9YcOGli6aEEK0qtLKUkZ+NJIHhj7AzUlNPiabpJQ61JzjWqMpJx1IrPE+oWqbEEIIL4oqigAItYae1vu2RoBYD/RUSnVVSlmAa4BFrVAOIYQ4IxTaCwEIsYSc1vu29DDXj4G1QG+lVJpS6lattQO4B1gGpAALtNY7WrIcQghxJmutGkSL9kForac2sH0psLQl7llZWUlaWho2m60lLt9q/Pz8SEhIwGw2t3ZRhBCnWWvVINpMJ7WvpKWlERwcTJcuXVBKtXZxfEJrTW5uLmlpaXTt2rW1iyOEOM1+TX0QLcpmsxEZGdluggOAUorIyMh2VysSQjRPu+yDaC3tKTh4tMfPJIRonqKKIkwGE/4m/9N633YZINqaJ554gueff56//vWvfPfddwCsWrWK/v37M2jQIMrLy5kwYQJhYWFMmjSplUsrhGhrCu2FhFhCTvsPxXbXB9GW/eMf/6j+7w8//JBHH32U66+/HoCHHnqIsrIy3nzzzdYqnhCijSqqKDrt/Q8gNYgWM2PGDHr16sXo0aPZvXs3ADfddBOffvops2fPZsGCBfzlL3/huuuuA2DcuHEEBwe3ZpGFEG2UpwZxurXrGsTfF+9gZ0aRT6/Zr0MIf7u0f6PHbNy4kXnz5rF582YcDgdDhgxh6NCh1ftvu+02Vq9ezaRJk7jqqqt8Wj4hRPtTVFFEdECTqZN8TmoQLWDVqlVMnjyZgIAAQkJCuOwyWd5CCHHyiuxFUoPwtaZ+6QshxJlA+iDakfPOO4+FCxdSXl5OcXExixc3mL1cCCEa5XQ5Ka4slhpEezFkyBCuvvpqzjrrLGJiYhg2bFiT55x77rns2rWLkpISEhISePvtt7n44otPQ2mFEG1Zsb0YOP2zqEECRIt57LHHeOyxxxrcP3fu3FrvV61a1cIlEkKciVprFjVIE5MQQrRprZWHCSRACCFEmyY1CCGEEF55ahAhVgkQQgghapAaRBWlVDel1NtKqU9buyxCCNEWVPdBWM7gPgil1BylVLZSanud7ROUUruVUvuUUo80dg2tdarW+lZflUkIIc50hfZC/E3+mI2nfzVJX9Yg5gITam5QShmB14BLgH7AVKVUP6XUAKXUkjqvGB+WpU1pKt332rVrGTVqFP3792fgwIHMnz+/lUsshGgr7E77aV8HwsNn8yC01iuVUl3qbB4O7NNapwIopeYBl2utnwZ+dQsfNJTue8+ePbz33nv07NmTjIwMhg4dysUXX0xYWFgrllYI0RY4tRNF6ywY1tIT5ToCR2q8TwNGNHSwUioSmAEMVko9WhVI6h5zB/AQEBYWFsaKFStq7Q8NDaW4uNgHRT81zz33HB999BHR0dF07NiRwYMHc9111zFhwgQKCwuZP38+33zzDYsWLeLtt98GoLi4mODgYKKiojhw4AA9evSodU2bzVbv8woh2rf03HQclY5W+bffpmZSa61zgbuaOGYWMAsgOTlZjxkzptb+lJSU4+sqfP0IZG7zbSHjBsAlzzR6yMaNG/niiy/YunVrdbrvkSNHYjab8ff354YbbmDDhg1e032vW7cOh8PBWWedhcFQuwXQz8+PwYMH+/bzCCHatOVrlpOakUrdZ93p0NIBIh1IrPE+oWpbu1Yz3TfQ7HTfR48e5YYbbuDdd9+tFxyEEL9OLu3CqIytcu+WDhDrgZ5Kqa64A8M1wLUtfM/jmvil35YUFRUxceJEZsyYwciRI1u7OEKINsKlXad9LWoPXw5z/RhYC/RWSqUppW7VWjuAe4BlQAqwQGu9w1f3bKtONN233W5n8uTJTJs2TVaYE0LU0i5qEFrrqQ1sXwos9dV9zgQnmu57wYIFrFy5ktzc3Oosr3PnzmXQoEGnobRCiLbMpV0YVOs0OSutdavc2BeSk5P1hg0bam1LSUmhb9++rVSiltWeP5sQwrvpK6azr2AfX17xpc+uqZTaqLVObuo46QkVQog2rDVrEBIghBCiDZMAIYQQwisJEEIIIbxyIQFCCCGEF07txNBKj2oJEEII0YZprVsts0KbysXUXj3xxBMEBQVRVFTEeeedx4UXXsiqVau46667MJvNfPnll0yePBmXy0VlZSX33nsvd93VaEoqIUQ78fKml8kqzeKpc5/yur81axASIE6jhtJ92+121q5di9VqpaSkhKSkJC677DI6dOjQiqUVQrS0BbsXMHvbbGICGl4OR2vdan0QEiBayIwZM3j33XeJiYkhMTGRoUOHctNNNzFp0iQKCgpYsGABy5Yt4+uvv+bDDz+sPq+iogKXy9WKJRdCnA5Hio7w9M/uFQ0qnZUNHufUTgkQLeHZdc+yK2+XT6/ZJ6IPDw9/uNFjNm7cyLx589i8eXN1uu+hQ4dW77/ttttYvXp1rXTfR44cYeLEiezbt4/nnntOag9CtHO783fj0A6Gxg5t9Dnl0i4sBstpLNlx0kndAmqm+w4JCWlWuu/ExES2bt3Kvn37ePfdd8nKyjoNJRVCtJasMve/8U7BnbA77Q0e15rZXNt1DaKpX/ptUYcOHUhKSmLVqlWS2VWIdiyrNAuzwUxMQAyVrkq01l4DQWtmc5UaRAs40XTfaWlplJeXA5Cfn8/q1avp3bv36SiqEKKVZJVlERMQg9VoBcDu8l6LkBpEO3Oi6b5TUlKYPn06Sim01jz44IMMGDDgNJVWCNEassqyiA2IxWJ09y/YnfbqYFFTu1gPQtT22GOP8dhjjzW437PuA8D48ePZunXraSiVEKKtyCrNYkD0AMwGM0CD/RCSi0kIIX5FtNZkl2UTGxBbXWuodHkf6irDXKsopa4AJgIhwNta629buUhCCOFzBRUF2F32ek1M3rTmRDlfrkk9RymVrZTaXmf7BKXUbqXUPqXUI41dQ2u9UGt9O3AXcLWvyiaEEG1Jdlk2ALGBsZiNjTcxtWYNwpd3nQtMqLlBKWUEXgMuAfoBU5VS/ZRSA5RSS+q8as41f7zqPCGEaHc8cyBiAmKqJ8FVuCq8HqtpB6k2tNYrlVJd6mweDuzTWqcCKKXmAZdrrZ8GJtW9hnKP5XoG+FprvcnbfZRSdwAPAWFhYWGsWLGi1v7Q0FCKi4tP7cO0UTabrd7nFUKceVYXrwYgdUsqRyuPAvDz+p/J8cupd2xpWSk5zpxW+bff0n0QHYEjNd6nASMaOf5e4EIgVCnVQ2v9Rt0DtNazgFkAycnJesyYMbX2p6SkEBwcfIrFbpv8/PwYPHhwaxdDCHGKtv+yHUO+gUsvuJRNWZvgW0g6K4nh8cPrHfvMZ8/QIbYDY0aPOe3lbFOjmLTWr2ith2qt7/IWHNqjuXPnkpGR0drFEEKcRlllWUT5RWEymI53UjcwUc6pnShaZ6JcSweIdCCxxvuEqm2iigQIIX59skqziA2MBWhyFJNLuzAa2meqjfVAT6VUV6WUBbgGWNTC92wTPvjgA4YPH86gQYO48847cTqd3HTTTSQlJTFgwABefPFFPv30UzZs2MB1113HoEGDqtNtCCHat5zyHKL9owGqO6kbTbXRSjUIn/VBKKU+BsYAUUqpNOBvWuu3lVL3AMsAIzBHa73DV/dsSuZTT1GR4tt039a+fYj7858bPSYlJYX58+ezZs0azGYzd999N08++STp6els3+4eBVxQUEBYWBgzZ87k+eefJzk52aflFEK0XTaHjQBzANDMGsSZnmpDaz21ge1LgaW+us+ZYPny5WzcuLE6B1N5eTkTJkwgNTWVe++9l4kTJ3LRRRe1cimFEK3FqZ3VD/3mBAhJ1tcCmvql31K01tx44408/fTTtbbPmDGDZcuW8cYbb7BgwQLmzJnTKuUTQrQup8uJyeB+/DYnF5Ok+25Hxo0bx6effkp2tnu2ZF5eHocOHcLlcjFlyhSefPJJNm1yT/MIDg5ut/M2hBDeObSj+qHfVC6m1kzW165rEK2lX79+PPnkk1x00UW4XC7MZjMvvPACkydPrl5v2lO7uOmmm7jrrrvw9/dn7dq1+Pv7t2bRhRCngVM7q0cmNaeJSQJEO3P11Vdz9dW100l5ag01TZkyhSlTppyuYgkh2gCn63gfRHUTUyOjmNpDLiYhhBDN4NTH+yCUUpgN5jZZg5AAIYQQp5nD5ajV8WwxWiRACCGEqAoQNWZHWwyNBAgkQPiU1rq1i+Bz7fEzCfFr5NIuNBqTOt4FbDFavPZBaK2lBuFLfn5+5ObmtqsHqtaa3Nxc/Pz8WrsoQohT5HQ5AWrXIBpoYtK4n2MyislHEhISSEtLIyenfl71M5mfnx8JCQmtXQwhRDMcLTlKsCWYIEtQvX0O7QCo3QdhsHidB+HU7mBiaKXf8u0uQJjNZrp27draxRBC/EpllmYyedFkruhxBY8Mr7/KsqcG4RnFBI3UIKpaQtprNlchhPhVeWbdM5RWlpJR4j2Nv6dWUDNAmI1mKpz1lxz1HNte14MQQohfjZVpK1l+eDlGZSTflu/1GIfLexNTozUIycUkhBBntnVH12E1WhmbOJaCigKvx3hqBTWbjaxGa6N9EK2VzVUChBBC+Eh+RT4RfhFEB0STZ8vzekx1H4Sq3cTkrQbh0u7cbVKDEEKIM1yeLY9wv3DC/cIpshd5rRVUj2KqO1HOyzwIT4CQGgSglOqrlHpDKfWpUur3rV0eIYQ4EQW2AsKt4YRbwwEorCisd0z1PIhmpNpoNzUIpdQcpVS2Ump7ne0TlFK7lVL7lFL1x3zVoLVO0VrfBfwOOMdXZRNCiNMhvyK/ugYBeG1m8tYH0VSAaA8zqecCE2puUEoZgdeAS4B+wFSlVD+l1ACl1JI6r5iqcy4DvuJXtkypEOLM52liivCLAPA6kskziqlWH4TB3GgTU2sFCOXLlBRKqS7AEq11UtX7UcATWuuLq94/CqC1frqha9S41lda64mNHZOcnKw3bNjQ4P78+QsoWrKk2eUXQoiT5dIuNmZvJCEogTBrGNtzt9M9tHt1sPAodZSyM3cnPcN6EmYNA+BI8RGyy3MYGjOk1rEVTjtbj22ha0hXovyjTrpsIZMmEX7176rfK6U2aq2TmzqvpWdSdwSO1HifBoxo6GCl1BjgSsBKAzUIpdQdwENAWFhYGCtWrGjw5uEffIApLQ2HpKgQQrQwT+ez3WanrLIMgKLSIgy22r/+bdoGQGlpKZS7t1U47GjtoqCg9tDYSu3u5C4rK2tw2GxTTGlpFBQUsCU25sRP1lr77AV0AbbXeH8VMLvG+xuAmb6639ChQ3VjDl5/gz54/Q2NHiOEEL6w49gOnTQ3SX936Dtd6azUA+YO0DN/mVnvuE1Zm3TS3CS9Jm1N9bbXf3ldJ81N0k6Xs9axhwsP66S5SXrRvkUnXS5vz0Fgg27GM7alG7bSgcQa7xOqtgkhRLtSYHP/wg+3hmMymAixhjTaB1Gzk9psrFp2tE5HtYv2Pcx1PdBTKdVVKWUBrgEWtfA9hRDitMurcI9Y8oxgCreGew0Q3nIxWQwWoP661NUjntrBMNePgbVAb6VUmlLqVq21A7gHWAakAAu01jt8dU8hhGgrPMHA0ykd4RdBfoWXANHAPAjwUoNwtW4Nwmed1FrrqQ1sX4oMWRVCtHP5tnyMykiwJRhw1yQOFR2qd5y3GoTVaAUabmI642sQQgjxa5ZfkU+oNbR6zkK4X7jXiXLesrk22AfhmQfRSo9qCRBCCOED+bb8WnMewq3hFFYUVj/kPbzOpG6gD6K1J8pJgBBCCB/It+VXT3wDdx+EUzspqiiqdZy3bK6ePohKZ+3kfhIghBCiHfDkYfII83MHC8/oJg9PhlepQQghxK9E3SamEEsIAMX24lrHeRu66umDqLvsqAQIIYQ4wzldTgorCms1MTXUbFTdxNScUUwSIIQQ4sxWaC9Eo2s1MZ3I5LcGg0nVsRIghBDiDOVZGCjUGlq9zWxwNxt5hrV6eEu10VAw0VXZtiVACCHEGcrTz+Dpd4CGZ0c31gfR0LE1A4St0smiLRmsO+B9zWtfaul030II0e6V2EsAqmdRw/EaRN11qT19EJ790HQNwhNM1h/M4/b3NlBQVkmQ1cR/HziP+FB/X36UWqQGIYQQp6io0j3XIdhcI0A0UCvwrBtRd8lRb8d6ahBKKcrsDh5YsJkQPzMvXzMIh8vFXxZurw4iLUEChBBCnCJPE9OJ1CBqNjE1NIpJc7wG8fyyPRzJK+e5qwZy+aCOPDC+F9+lZLNq7zEff5rjJEAIIcQp8hYgTqgPwtBAH0RVMDmSV87cHw9w/chOjOgWCcCNZ3fBYjSwep8ECCGEaLNK7CUYlRF/0/H+gIZqEA6XA6My1krh7ZkT4QkeHp5sru/+eJhAq4np43tX77OajAxICGXjofopxX1FAoQQQpyiInsRwZbgWg/96rkNdZuYtLNe+m6lFEZlrDck1jNRbt2BfH4/pjvhgZZa+4d2DmdbWiEVjtqBxVckQIhfPZd2gcsJLdjZJ9q3YntxreYlqFGDcHqpQRjqr+9gMpiqO7A9Khzu91FBftxyTtd65wzpFI7d6WJHRlG9fb4gAeJXxuFy8Ev2L5RVlrV2UVpdhbOC+7+9k6HvDeKKt5P4bvZoOLK+tYslzkDeAoRBGTApk9eZ1DUzuXp4q0Es3pIOwPTxffAz1w8qQzq7U3tsaqFmJgkQrajYVsnbqw+wN6u46YNPka3SyW/nfMrZ713OtK+nMe6Tcbz6y6v1ctW3RT+l5nLZzNWc88z/uPatn8gtqWj6pCbYnXbuW34vy4/+yKTiUoq0H4+YCtnx/kQqdi/3QanFr0lJZUm9AAHuoa4nVIOoESC+3JzO/3ZnATCia5TX+8YE+9EpIqDF+iHO7ACRswsW/gHWvQVpG6CyvLVL1GypOSVc8doa/rlkJ+NfXMkfPtpEpbNlHtZaax76bB079fOUO/MJyhpDf0M8s7bO4p+r/txmg4TWmte+38f1b60hqXg1d0esp/Lweq6b/TN5pfamL9CI1za/xpqja3kiJ5fDR29nbMJ/MBojuCcmhmOf3IIj/4iPPkXry7Pl8fDKh7nt29s4XHS4tYvTLhXbi2vNgfAwG8xeaxDelhCtGSA+XneY++dvpluUu9O7sVQbQzqFtViAOKNnUpc7Ddh2LsVv8wfuDcoIMf2gwyD3y14M5kCf3a/IXsSa9DXsyd+DS7sYHDOY8xLOO+E8KXmldqa+9RNWRwkfXRrGj8WxzFyRSniAmSevGOD9JJcL9i+HsE4Q3dv7MQ2Yv/4Iy9LmY40u5QNTT84qew+9C14JD2X2ga8IzNzJg1M+B2Pb+TporXnhv3v47vvl/C/kHTpV7IEMuNaoeCD3Xu6f78e7Nw87qcXcN2Vt4p3t7zClqIS8gvMZN+kapo3qwpXH/sO1X13Li2EW7p09lc4PfA9Gc9MXPAFp+WX8sCeHI7lldHCkMTDOyoDePTCGdvDpfQDI3c/ulTO4PX8dxQaFwsKURVN4ddyrjIwf2eBpBYe3s3/JC3xuvpTILv25Z2wPLKYaqR4cNj7b+xnfH/6eCP8I/jTsT0T5e/+F2xSt9Un9PzydNmdv5t0d77Iucx0vjHmBEfEj6h3j6aSuy2wwe50H4bUGoUzYnQ4e+Wwr89Yf4bxe0Vx6tp1//Nx4gOgbH8LCzRkUllcS6u/b72vbeSKchIM6jj5FL5BgyGNKfA7jQjLo5dqP366v4Jf3IcM9XpgZ8WANrv2yVP0Z0RVGPwAmS4P32ZW3i/d3vs/XB76m0lWJQRlRKOZsn0OsXxf+Nvx5zuncC4Oh6S+61pq/zlvDs7YnGWncTM73BqZ3nwCjpzNz9WF6xQYzbVSX2idl74KFv4eMTVQqI5nJ04i76GnM5qan2DucLl5ZsZmAmJVcYHNwVs6PZAz+I7f+HMvlMTFco97m3fIDdP1gPFOuXQrNuKZPuVxQnu8O5sHxHCjN4F/rnmNL5gEsJcW8ErKPRFMQTJwNHQahFt/Hvw+/zrR9gSzc3IHJgxNO6HallaX8efWf6eCC6/OM/Cnmdj4Z0RmA/lH9ufOsO/nPlv9wSdk+nB9Pp9v1r/jkY9oqnTz7zS4+X7OdacZvuda0kk4q271zKWQF9sF/1G2EnH0LeHl4nBCt4ec3KVj+N/4vLgIXFl5PKyHRlcmVCf146qen+fzyz2qlm67mqKDkgxsYak/lLBYy4+C1XLnral6+ZjDdo4MosBVwz//uYUvOFqKsiWzM2sTajLW8Pu51BkQ38OMGd39PRkkGCUEJGJSJzzam8c6PB0k5WoTZqBjQMZSL+sdxdXJivZE6relwwUHuWHYr/hpwVfLW13cywr8vDPgt9JlU/dzw1gcB7pFM3uZBeOuDUMrI8l1HObrvCH8Y250/XtiLxanuPojGAkSniAAAjuSVEdoxtMHjTkabChBKqQnAy4ARmK21fqax4/vGhzD7D6NZtiOTJTsyeTmlD3ABAzuGcNVAGPnLDCwuGySfAxXFx1/2Eig4BLYi2DoP8lJh8ptQ45dMYUUh3x/5ni/3fcmGrA2YlR/hrnPJPtqPwsIOgMYUspXMuEXc9d2d+OXcx+UDenPj2Z3pHNlwrWXB/9bxm6P38m4HO/f5J+ICupRuYlrp3VzS+1n+vngn3aKCGN2z6hdZWR6V70/hQEUp90eMIifoKLZjyzF/NJKxnS/kr6P+WiuDZF1fbTuK1TiPUuzcU2GCu1bTIaoHw9nOsz8d4tO73uPIhlt4sjiVxM+n0e037/Pcsj1sPJyPv9nIc78dSJ+4kAav71H9S9DlhI1zYdsncGwvdBoJSVOg3xWUOVwcK7ZjMRmIcuVg2jgHNn8EJZkAfBoUxDNR4ZhcBobYKthtNXBThxj+PuxRLu33W/eNps5DvT2eF3Nnc9mi/pzXM5rIIGuT5fN4bv1zZJSkMzczixcq7uSvk4dgrBHYbx94O98fWcGfXAbePfwxuevOIXL41c2+vke5o5xZW2dRVllGqDmOr36I5vxjX7IuYDFWVzm621iO9bifWUd3sSZ/C0Uqn6iU5+m/5TW6Jk5h4vn3EhcaVvuijgooSge/MPAPr/V9BaDSBvv+Cyufx350M3/s0psM7MSXPkifO8YSOHsUt+SU8Joxj8X7FzO55+R65T78+V/pZE/l215/YYjrR6anzuPGvEFMeqWUK0dqfih4iaLKbMrTr+NA8QAMliwqO73LbcvuZuEVC4gPiq91vRJ7CS9teomlqUsprizGZDAR7urBmIwCXq88SlC4hV+iLuXt0nN45utdvPzdXq4Znsito7uSEB7AgcIDrDqygv3ZW8kqPYo2mAgNjKVrWA/CLR1xlXcARwyJEf4M6xLhtSMX3N/PrLIsIv0iq1NgNORQbimrN20jeNfHvGf9DrNJ815GPp9FdeUd/2J2Z2+h96dLIbovXPkmlbH9KHeU1wsQKUeLKKuArOJSnC5d/T3z1gdxJK+MnKJKHDYbb1w/hAlJ7r/H5qwHkVgjQCT5OEColszjcSKUUkZgDzAeSAPWA1O11jsbOic5OVlv2LCh+v2+7BK+3ZnJtzuy2HykgGdXvY7VbGTBdX8mNsSPmBArscF+xIb4ERtiJSbYSurPj/JK+jKOWP0J8YskxBqCzWEjrSQNALMripJjw7HnD6N3aADXxx5ksCWdyAAD5vBE1vsF8+fd/8ZPdyR37204XUZ+OzSBhy7uXe/BlbL/AJ8uvpRPwiDMEsxVfaYS6R/Jkh0fsr30CANVIEfz7yUnP4pHL+nLsM6hVMy/mm/1LuaGhqEMBrr4nU1Sxi6CjfuYFxpKXFA8s8bPolNIp3p/P1pr7n/hDTaHz2SANjHzt99AiPuLV2yrZPwLKwkLMPPRnWdx8xcTOWbL48qcZGYVT+XcnlFsTSukyFbJK9cM5qL+cdXXrNkk8FNqLrNXpbJidw5d/Mt4yTSTANc2lkR1YoO/P8cqi/BzVRLuNOMqS8C/JIGxlZlcbliLUbnYGTicA6HDWGrYyxrzTrqXWXkwV9Mtvg/+Qy/hwcz/sTF7E69f+DpndzjbfdNDP8I7l/C68wp29bufV6YObvL7pbXmkz2f8M+f/slNJXbOzw7l/T5v8PLUIfWOzS7L5tol11NacpS7C4oZf9U84jp5b5LJLrbx9bZMdmcV0zHMn4v7x5EYaebe5ffy09Gf8DcFUuYoIdSpuamwkMvjRlE24g4WFuzgw5QPKXeU0y+yH/F+XTmYvpnDrjQqDQo/l2aALYIhOpRBlSUklR8l1JaJQuMEci0B5ITEYAyMIdIvnKiyAlTmNqgswxHehQc79WB50R5UzjV8dcsf3Q+RzR+hF/6e8+MHYgq3sPTKr/Az+VV/FmdBOryUxGPhZ7EsohCHy4FJa3prMwfpRgn70c5AospuZdqQsVzkt4uAbe+SlrmW2+NCiHAFMGfS+3SI7QXAwcKD3Pf9fRwqOsTEbhN2zi5kAAAgAElEQVQZGDWY939cQbFeQZ5J0Rsrdzj8GHtkG+bAaLIH3s2snD7MTykiPHgd1uh1ZJrcabQjHU7inA6MGo6ZTBw1GtFVX0OnLZ7KwiGYywdzXfIAbj+vGzEmG6SuoDB9HR/kb2exPZN0VzlGDAyKGcT9Q//IoJhB1Z99f04J32w9Qs6mrzin6CsuMPzCs5FhfBwazLjSc9lceDkHi4sI6vk0ieaRzO9/ISHLH4WyYxSMvp9zjyzgkeGPcF3f6zhWUsGDn2xhxe4cArq9gKsimi7Ou5l9YzIJ4QE8uGI6e3K2sqjTVZB/kJKSIlalpPF83GH6m/x5xRQLDjsYTSwwu/in/SD/u3AO0R2Hef0OFtkqGfjEtzx6SR/uPL97vf2HbpgGQOf336veppTaqLVObvhfTNVxbShAjAKe0FpfXPX+UQCt9dN1jrsDeAgICwsLi/riiy+8Xi/f5iL8hRcpq9S8cPEfKKjQFNg0Dq0xWDMwhWzHHLwNg/UY0Q4TE0rz2RQ4hAz8KLErSkricZT2IN6UyKgYFzfoJSRlfY7RVb9zdGFUL/4SbGOE/2g4dgXfH3HgZ4LLulsYk2jCalQcyctkeeZTbAzUjDT2ZHKH2wgwuCO/1prUw28w17mNQoMRqy2JwuIOJFt/5khQHgVGI4P8hnFl5KWEm8KxVVTQ8+eHOWrK474OsXT0i+f+2Pvr/co4eng31syn+FtsCPeGX0+vkNptp5uyHLzySwV9Igx0DMtju+lfBGk7t7pG0qHnjRRUuHhlUwV59j2cnbiMXSqdYuUiEj86W7tRWH4WP6d2JcgQyKTozcQ7P2BFgIG9VjNaK1y2BHRlGPGGHKyWLNIs7u9aT7uDnvZYUp3nkWr3xx68EvzSCLENZ5z/bzk3wYq56teWzWXjhcwXKHAW8GDcg8SYYwDok/IiUVmrubDiWa4Y3IVBMd4rw1prDlQcYEXxCn4p+4UhTn/+c3gfU+xPccvoXkQHeP9lllOZw2sZb5KLexRJkCGQAQEDuSDkAuLMcWitWZ3u4KNddsodEGCCsqoBKNFd5mHz20L/4gu4L/tngv338UJUHOtr/F5QKAYHDGZ86HgSLMebyWyVpaQeWcQu20Z+9i+nzOAun9mlsDrNVCqF3VhR/XD0CHUpuhBAgCWGFJ1PgbMAW+Yk7uk2jrOiTZ6/DAb+fB/fuzRPdITLwy7nwtALq69h3D6PzY6lzAoPJck/ib7+fbEXbia9ZBtl/nEEBvTlNyGXEWn2p8vhT+h68GMqLOHkhQ9iZXkWz0YU08Xu5Cr/MewNjWNRwSLMyswt0beQYOzJOxuzebrsCeKNebzT9xo+r9xGjiOHUBXAoAo7cbZ8MkwmNvhZKTcY6GqvZFyRAYp7c6SyJ8d0CGGUcq5xG+NM68gyufgurBvLgqwcoAC0okNZMOeXlzPUmckGfwtLAgMpMRoYWVbBmPJSjhmNLAwK4pjJyIDyEIYX9cJSZiLemc7Zhh3EqgKKDWHM7pDEHPNhxgaP5cqIK93fiTIXb2R8TJZxI679T3BjDwc3ls2hMm8tv0nswO0BFxJgmsTrWyootmuu6GFms/VFDM4QDu+5gWTDPh6PXsXrpm0cNim+SM/EYbBS4PLHps3ck+hHR5fi6WI/XAYzSjtYbCzk2TALy49kk9n3T+RFDvX6ff3D8lKGx5m4sX/92nT4v18AIH/6A9Xbxo4de8YFiKuACVrr26re3wCM0Frf09A5dWsQdXkiZ6f33mVH7g6+Pfgtyw5+S0ZpOgYMdA4cSLAzmV07E5mnHydUlXKNforojt24oE8M4/vG0O3Y/2DZ41B4GPpPhuRbIXE4GC2QfwD2LIMfZ/KcqYT3QkP4R7ffMqDX/TyxOIXV+44R6m8mOWQnmUFvkW5W3BQ5gfsmPVe/Y05ripbcx5zUhSwMiyQXB4EuFyOsHbhj/Iv0j06qdbgz9wAVr53DHL9o3ox1Vf96qZa5neI3J/D72BCORXZg6VXfeq2mzl1zgNdW7CenuILRfW1kM4Ncl50LzZF0ij2LNdmb2ebIx9/lYmSlIsFoJb2ikE1+FgqM9avzA0N7kBw/iWjDMLQzlEEJYfSJD8ZsNJCXf4DvDi7jy4xVbM/dXl19jvKPYnrydCZ2nei1wzK9JJ2pS6YSag3lg9984G5SK85CzxzKBmdPbqh4iEcv6cfZ3SNJKyjn+13ZpJUeokD9RL5hHcdsGViNVm6LGcXtP77HTMeV2EY/zMMT+jT43fGYMfdfxOfNZGtQDKsD3M0D/z7vJb5aF8bnm9IZ3iWCGZOT6BETRFZRBTN/WsKXmX9ndG4kM4u2UGEKxjjucazDb2F/8SFWHFlBpH8kA6MH0i20W6P3tjsq2F+Yyq683WzLTiGjOI/cUgcHMhWFxYGEW6I4r08kvTu6OFS8hwNFB8gqzcbsSGRvam/uHnYFD1xUZ0DDhndgyf2cF38OjpACvr7ya/ffp8vFrJf68Wqkmck9JvO3UX9zN4NoDfOvhz3fwM3fuAdIfHEX7P4KBl4Dl75U3W81e/ksXj/8KpVVX7MRMcP457kzOJxt4fFPfua50r8wwHQY47SF0OUcHC4HP2b8yKL9i9idt4tjZdl0MAYy0BrJJdHJDOnzWw66YtmRUUhJhQOTQdElMpA+8SGEUgLr34aN70LhYQ6YTXwVGMiSoEDSze6AqFxGKov74cgfR6eg7vQPc9CrYjsdSzew3bKVRSEuHAouLSllgs1El7ghFPQZy3ulqXx18GvGJIzhpbEv1WoOWrx/MX9e/We6259g834/zkoM45r4H3iq+GNezsrBUNyLlX5jmHrZRHp2iOK6H/5IUGU5rx7NxVKwn1Jt5f4uPckPDOAvA17lvsUZ5JZW8v5tI3hq8x1EB0Tz2rjXqu/3UcpHPL3uaVbaQgnP2gXXfQLdx9b7rlw2czWh/mbev7V+B3p7qUH4PEDsufYassuy+Of1FjJKMzApEyM6jOCizhcxNnFs9fKAtkonxYe3EDlvEsovBHXZq+4v/Q//ggM/QEx/+M2/oMto7zdy2Knc/AF/2PwiP5s0/7JZubjzeNLLDKxKW8MrwcdQKJ4cOJ2xyTc3/JegNax4Gla9QLl/GKb+V2Ke8AwYvP/Kde5YjOGT65ka25V9QWa+nLyQjgHxsPlDnEsf4kcVwN0Jgfxx6B+5JemWBm9rq3SSXVRBp8gA8kuyePnr21levJ9Cg6KPvZILrQmsybicn0p7cNlZHUk9fJgB+cu4IGYLB5yHqbAGEh4/mNHn/pX4qOaNsCqyF3Gg8ABWo5XOIZ1r5bDxZlPWJm799laGxgzllQteIcAcAGtfh2WP8lLUE7yU5m7WUJYcAjt8gfJPBa1wlHYn2jWUp0IKGX1gFht1b56P+xfv3XEeZmPTo88qnS7en/Uct2Q9xYaAfvypQxg5lTmUHvw9/3fuufzfBT0xoCFzC7ZdXzH58CeYKiv4NCMb6/A7YMzD7v4CH3K6NMtTspj740F+3J+LyaDoEx9MqL+Z3ZklHCup4JphicyYPKBW/woA9lIqn+vN267evN4ph0ndJvH3c/7OvOX/4t/pH9PX1JUPrl1Yu428PB/ePN/db2e0uPuZLn4KRtxZrx9kTWoKqxb9nQvL/0e8LYjZagqZdn8etX5CIpmo370PfSf57i9Da8jYBMWZoIzojkPJMxrYn59GsKEDZoM/nSICao3C8sgqzeTtLW/yeepiKpzH59aYDWZuHXArtw24rTrLqsfe/L1cuehKnh79NPbCQbz43R4ybNsI6DybiUd68yi/EOo4njzvprgYlFK8Y+lBUZ/fcfvGBLaqNzCaSik5cA9RQVZmTRvKkE7hXPvVtYRYQnhj/BvV53+Y8iHPrHuG1VcsJfSd30B4F7hxcb3P8oePNrEjvZAVD9UPHu0lQDSriammhgKEzWHjne3vEPunmWjg+4fHMr7zeMYkjmm0Q5esHfDR1VBYNQbeLxTGPg7JtzRrCGhZRRF3Lvodm8vSOauiEq0126wWeljCeGX8GyRE92/yGoB7ZE8DQaGuig0fkvn1H/ltQgz9tZU5ecWokiy2mgdyc3g01vAsvp2yjCBLUPPuXcVRlEnFsd0EdhwK1iBySyp4YMEWtqUXEh/qx/0X9mJ8v6q2UoOp2eU9FYv3L+bxNY+TFJnEyxe8TJQlDN48D12UxrpzXuOT8r38L+tD/E1+3N57KuOd/ti3riY6bRlBupRFzlG8GT6dd247l5gQv6ZvWKXS6eKrD1/hwtRnyTFopiXE4Wey8nnMGIIL0txzcEoyeTUslFnhocyOu4gRyXdDZP32YF/bnVnMws3pbDlSQJndSUK4P9eO6MTZ3Rsedqq/fhjHz7O5OOZqcgJXEeMfQ3Z5Nr1tDl67+gdiw2Lqn5SXClvmuwd59L0UOo9q8Poul2brT9/SceXDRNsOuLeFdsZw+SvQbcwpfmLfy7flszVnK4eKDhEXGMfA6IHEBcZ5PbbSVcnID0dybd9rmZ48Ha01szct4pXtjzPrgg8Z1aEfZO+EY3vA5eT2A/MpN1n4YNI8wP1jbOriWzhWWsR1nZ5n2qjOBFjcz5ZpX0/DYrAw++LZ1fd7b8d7PLfhOX6c+iPBP74GK56BP+6A0I61yvXsN7t4a2Uqu5+8pN6PglMJEG1pFNN6oKdSqiuQDlwDXHsiF9Ba899D/+X5Dc9ztPQoL/uFkRCUyJRxM5t3gdj+cNcqOPyT+33iCAiIaPb9A6whvHHFZ3y651MW7fsSi9HC3YljmNZvmvsXb3OdwMPWmnwdwaHd+M3Sx/gsLIfn/TugDDcxqzgSa+BM7ux/7wkHBwBTSBymkOP/SCKDrLx7y3AvB56+IYmXdr+UAHMAD698mN98/huu6HEFSaNv48hPL/Plnoc5ajIyzhLLnwtKiFn0mPskv1DofwkZPa7m7O7ncVlw8wODh9lo4Ipp9+PKu4L4H17g1cP/5aZQB3878Dn/doahupxDauIQ5ux+m0ldJzDi3AZ/0/hc77jgZjWV1aRG3YNh/dvcmZHOrgse4Yejs7k/L59+UTd6Dw4AEd1g7KPNur7BoBh09sUw8kLIOwDFGRg6DgWL7+Yk+VK4XzjnJ57frGPNBjM9w3uSkpcCuJPsRYW4m0o7h0e5f0jGD3S/AMuxlRSW5VSf72c2EhFoIsQ/hLvqdCibDKZ6cyY860EYlME9tHbF0+4RgqPvr3Vcp4gAHC7N0cJyEsJP4FnThDYTILTWDqXUPcAy3MNc52itdzT3/D35e3hm3TOsz1xPr/BezBg9g5jvXj3xgviHQ+9LTvy8KoHmQG7sfyM39r/xpK9xoiJ6jmL6nd+w4pObeS9oKy7HIWJ7LselQri2zwnF2DZvXKdxLLh0AbO3zuaT3Z/wsXagrIrhhnD+np/HqMKt7l+3437n/rUafxYYjPhiGpohogt+k19hkNbcu30OL216iRm9L+e6vtfx+OrH8Df7Mz15ug/u1MLCElHDbueqn9/gsv+O569mF0OMisC7HvbtfQxGiOrhfrUjfSL6sPzw8uoRfUX2qtXkmjlRrqFUG0ZlxK4bWZM6sjskDIetC7wGCIDDeWXtM0AAaK2XAktP5JzCikJm/jKTBXsWEGwJ5vERjzOl1xRMBhOHWqicbVGwn4Vvr32HR1Y9wn/5L7FBvXl85OMnVXto67qFduOpc5/iibOf4GjpUQLNgcdn8p5A89xJU4qbk24m35bPuzvfZf7u+fib/PnnOf886RnFp5vhvOnoX97jK9w1rWMjHiHEv+n5LsIdID7b+xlZZVnEBcZRbC9GoQj0krXBYrB4TfdtUfVr3nVzMYGXeRADroKv/wS5+2s1YdacLIcPWzbbVIA4Ufm2fCZ+MZFiezG/6/U77hl8T+N9DO2cxWjhufOeY0fuDvpH9vf6K6U9sRgtdA7pXHvjaegLAfc/2AeHPcjgmMH8nPkztybdSmxg7Gm5t08ERqFuXgoH14DBRNSQaa1dojNGnwh3k96uvF3VASLIEuR1lKC3ZH0NptpoToBIqOo2yN5ZK0DEh/phNCgO5/k2S/MZHSAySjM4P/x8Hh72ML0jTiw/UXtlNBgZGD2wtYvxqzGu8zjGdR7X2sU4OfFnuV/ihPQK74VCkZKXwpjEMe5Mrl4S9UHDyfq8pdowKVP9FeU8AcKTVzW6qr8pO8U9WMBzrtFAxzB/Duf5NmHpGR0gEoMTefuit9t8si8hRPsRYA6gR3gPNmdvBhpO1AcN9EFoR5PZXD3q1SAsge6hrtn1E0x0igjweQ3ijE73HWIJkeAghDjtkmOT+SX7FyqdlezN31svB5WH12R9jTQx1Q0mLu1CoWo/52L6uRN41pEYEeDug/ChMzpACCFEaxgWN4xyRzlf7PuC9JJ0zk/wPkzWa7pv7fSaSddk8N7EVK+2Ed0Hcve65yDV0CkigLxSO8W22vc7FRIghBDiBA2NdedEem3zaygUYxLHeD3OYrTgcDlqLcrlcDmaveSoS7vqt5LE9AOXA3L31dp8fCST7/ohJEAIIcQJivCLoEdYD/JseQyIHtDg8GazwZ1avOaD36lPbBRTvRpETF/3nzkptTbXnAvhKxIghBDiJCTHuoecXpB4QYPHWIzu+Q41+yGcLu9LjpoNZpyu+k1M9WoQUT3dq2dmew8QvuyHkAAhhBAnYUziGCwGC+M7j2/wGE9fQ81+CIfL4bUPwqiMOHTtGoTX9atNVvcciDoBIjTATIifyac1iDN6mKsQQrSWczqew5qpa2otulSXtxpEY8NcvY5i8jZSM6I75NfPFdEp0rdDXaUGIYQQJ6mx4ADH+yBqPvibmkldM8O21z4IgJAO7uVn6+jk46GuEiCEEKKFWAxVNYgas6kbmkntCRo1Rzy5tMv7etQhHaA8Dyprj1hKjAggLb8cp8s3yzhIgBBCiBZiNlbVIJxN1yCqRzzV6Idw0VCAqFoPoiij1uZOEQHYnS6yimynWnRAAoQQQrQYTw3C08SktW64D6KqVlFzqKtLu47nYaoppGrmdp0A0TnCnVH24LHSUy47SIAQQogWU7cPwtN85HU9iKpt9QKEtwzFDdQguse4A8R+CRBCCNG2eZqYPKOYPKk0vGZzNZxADSLYU4Oo3VEdF+JHgMXI/uySUy47SIAQQogWU7cG4Xn4N5SLqeYx0EgntTXIvZxu8dFam5VSdI0KJFVqEEII0bY1VINorA+iZsI+p3Z6DxDgbmaq08QE0C06iNQcqUEIIUSbVreT2pNKo6F5EFC7BqG1biRAeJ8L0T06kPSCcmyVTi8nnZg2FSCUUn2VUm8opT5VSv2+tcsjhBCnol4TU9UQ1ub2QTReg+jQYA1CaziYe+rNTD4JEEqpOUqpbKXU9jrbJyildiul9imlHmnqOlrrFK31XcDvgHN8UTYhhGgtnlQbnnkQnoe/11FMVc1ONedBNFqDCO4AJdn11oXoFuUeyZSa00YCBDAXmFBzg1LKCLwGXAL0A6YqpfpV7RuglFpS5xVTte8y4CtgqY/KJoQQraJuDaLRPoiTqUGgoSSz1uZu0VVDXX0wkknVzPtxShdSqguwRGudVPV+FPCE1vriqvePAmitn27m9b7SWk9s7Jjk5GS9YcOGBven9HHnTQ8YNqw5txRCCJ9yaAe/ZP9Cp+BOxAbEYnNWsO3YVrqFdiPSL7LWsQUVhewt2EPfiH4Emd0P+b0Fe7E7K+kf2a/+xcvzIWsHxA8Ea0itXZsO5xPib6ZHdBC2Xbvw69OHzu+/V71fKbVRa53cVPlbMptrR+BIjfdpwIjGTlBKjQGuBKw0UINQSt0BPASEhYWFsWLFigavF1v1Z0FBQXPLLIQQPuPCPTGurLyMAnsBdu1uDiorK8Noq12LKHO5k+wVFxfjMLhrHJWVlbi00+szzOisIBgoLcqj0uyqtc+sNEVldvd5cXEU9OrJgUaelQ3SWjf5Ar4Dtnt5XV7jmC7A9hrvrwJm13h/AzCzOfdr7mvo0KFaCCHaKrvTrpPmJuk3Nr+htdZ6T94enTQ3SX9z4Jt6x/6c8bNOmpuk1x1dV73tzv/eqacumer94pUVWv8zVuulf6q3a/76w7rzw0v06r05Xk8FNuhmPGObVYPQWl944qGHdCCxxvuEqm1CCPGr4BmtVLcPorFRTDVTg7tcDUyUAzBZICEZDq+tt+vyQR341ze7mb0qlXN6eF8OtTlacpjreqCnUqqrUsoCXAMsasH7CSFEm6KUwmKwVKf7bmwehGdbzWVHG8zm6tFpFGRuA1tRrc1Wk5Fpozrz/e4c9mUXn3T5fTXM9WNgLdBbKZWmlLpVa+0A7gGWASnAAq31Dl/cTwghzhRmo/n4MNeqIazNHcXUYKoNj86jQLsgbV29XdeO6ATAtzuzTrrsPumk1lpPbWD7UmS4qhDiV8xisDRvJrUn3bc+gQCRMAyUEQ7/BD1q9wREBVnpEOrH3qyTH+7apmZSCyFEe2M2mOv1QXjmR9TkqUHUamJqKkBYgyFuAByq3w8B0CsumN2ZrdzEJIQQwjuz0VydrK96JnUjTUy1OqkbSvddU+dzIH0D2OuvRd07Nph9OSU4nC4vJzZNAoQQQrSgmjWIxlJtNNgH4W3BoJp6jAOHDQ6srLerZ2wwdoeLQ3n1g0dzSIAQQogWZDFamrVgkLdcTM2qQXQZDZYg2PNNvV29Y4MB2HOSzUwSIIQQogXV6oNoRrrvun0Q3pqjap9ohe5jYc8yqJM6qUdMEErB7iwJEEII0eZYjJZmDXP1dFzXbWJSSjV9k16XQHEGZG6ttdnfYqRzRAB7JEAIIUTbc6I1iLrZXJusQQD0vAhQsOurert6xZ78SCYJEEII0YJqjmI60T4IrXXzahBB0dBtDGx6r976EH3iQzhwrJR9J5H+WwKEEEK0ILPBTIWrAjjxUUzNrkEAjPoDFB+FnQtrbb5uRCdC/c3cP/8X7I4TG+4qAUIIIVpQx6COpBWn4XQ5G10wqLoGUXNNappZgwDoPg6iesHambU6q2ND/Hj6yoFsTy/ipe/2nFDZJUAIIUQL6h/Zn3JHOQcKD1T3QXhqCzUppTApU3UQAXefRbNrEAYDjLwbjm6Bvd/W2jUhKY6rkxP5zw/7+Tk1t9lllwAhhBAtqF/VanA783Y2OooJ3IGjbg2i0VQbdQ26DiJ7wjePgKOi1q6/XtqPzhEBPLBgS7MvJwFCCCFaUJeQLvib/NmZu7PRGoRne7PXpPZ6AQtc8izkpcKPr9baFWg18eLVg8gssjX7chIghBCiBRkNRvpE9GFn7k4KKtxLhzYUIIwG44ml+/amxzjoexn88Cxk/FJr1+BO4Uy/qFezLyUBQgghWli/yH7sytvFZ3s/Y1T8KPxN/l6PMynTiaX7bsilL0NgNHxyE9gKa+26e0yPZl9GAoQQQrSwfpH9KHeUk2fL4+5Bdzd4XN0mpmblYvImIAKumgP5B91zI06SBAghhGhh/SLcHdVndzibQTGDGjzOZDCd2HoQjek0EiK6w6EfT+58fLSinK8opa4AJgIhwNta62+bOEUIIdq8bmHduH3A7Vza/dJGj/NagzjZAAHuJUlTloDL5R4Ge4J8tSb1HKVUtlJqe53tE5RSu5VS+5RSjzR1Ha31Qq317cBdwNW+KJsQQrQ2gzLwf0P+j66hXRs9zmd9EB6dzwFbAeTsOqnTfdXENBeYUHODUsoIvAZcAvQDpiql+lXtG6CUWlLnFVPj9MerzhVCiF8Nn4xiqqnTKPefh0+umcknTUxa65VKqS51Ng8H9mmtUwGUUvOAy4GdWuttwKS611HuOeXPAF9rrTd5u5dS6g7gISAsLCyMFStW+OIjCCFEqysvLSfLllX9XKt0VpKels6K0hUnd0GtGWWJoGD9QlJKmz96yaMl+yA6AkdqvE8DRjRxzr3AhUCoUqqH1vqNugdorWcBswCSk5P1mDFjfFNaIYRoZW8tfYtAUyDVz7X3oXOnzowZOubkL5o7lthDPxJ77mgwntgjv1l1F6XUd0qp7V5el59UgRugtX5Faz1Ua32Xt+AghBDtWd1cTFrr5udiaki/K9xZXr9pshu4fnmac5DW+sITvjKkA4k13idUbRNCCOGFt1Qbzc7m2pB+l8Goe9xZXqN6wog7m1+eU7tzo9YDPZVSXXEHhmuAa1vwfkIIcUYzGUzYHO5cSVprND6oQQCM/wfkHXDXIsIbH0lVk6+GuX4MrAV6K6XSlFK3aq0dwD3AMiAFWKC13uGL+wkhRHtkVMbq5Uld2r24zymNYvIwGGHKWxCbBJ/e3OzTfDWKaWoD25cCS31xDyGEaO9MhuN9EC58GCAALIFw7Xx464JmnyKpNoQQoo2o2Qfh0xqER0gHuHZBsw+XACGEEG2ESbVwgACIH9jsQyVACCFEG1GriakqQPikk/okSYAQQog2wmQw1eukVpziMNdTIAFCCCHaiJq5mKprEAapQQghxK9ezZnUUoMQQghRreYoJk+gkD4IIYQQtQKE1hrg1FNtnAIJEEII0UbUXHJUahBCCCGqmQzuFeW01tU1CJ/PgzgBEiCEEKKNMCl39iOHdlTXICRACCGEqB7S6nQ5pQYhhBDiOLPBDIDDJTUIIYQQNZgMVU1MLofvs7meBAkQQgjRRvgZ/QAoshfhckmAEEIIUWVgtDvT6oasDVKDqEsp1U0p9bZS6tPWLosQQpxuPcJ6EOkXyU9Hf2q5dN8nwFdLjs5RSmUrpbbX2T5BKbVbKbVPKfVIU9fRWqdqrW/1RZmEEOJMo5RiRPwI1h1dx+r01QB0Du7cauXxVWiaC0youUEpZQReAy4B+gFTlVL9qvYNUEotqfOK8VFZhBDijDUyfiS5tlze2voWo+JH0SO8R6uVxVdrUq9USnWps3k4sE9rnQqglJoHXA7s1FpvAyb54t5CCNGejMw6MTAAAARSSURBVIgfAUCZo4wb+9/YqmXxSYBoQEfgSI33acCIxk5QSkUCM4DBSqlHtdZPeznmDuAhICwsLIwVK1b4rsRCCNEGxJhiMCoj9j12Vuxd0WrlaFaAUEp9B8R52fWY1vpLXxVGa50L3NXEMbOAWQDJycl6zJgxvrq9EEK0CZ0LO2MxWugY1LFVy9GsAKG1vvAkrp0OJNZ4n1C1TQghRCO6hnZt7SIALTvMdT3QUynVVSllAa4BFrXg/YQQQviQr4a5fgysBXorpdKUUrdqrR38f3t3zyJXGYZx/H+h2FgoaJeIURAh2AiiH8AgEcGIBDSCVVBSxFJQ8AvYhigSX9gmqCGIqEQCFmJjkWC1ISjBxtiICnYSlNtiBhzCszM7s3Nyztn9/2Bg5zwvc7PccHFmZ5+Bk8BF4CpwrqqurOP1JEndW9enmI5tcf0CcGEdryFJurUG9Z/UkqThMCAkSU0GhCSpyYCQJDUZEJKkJgNCktRkQEiSmgwISVKTASFJajIgJElNBoQkqcmAkCQ1GRCSpCYDQpLUZEBIkpoMCElS01q+MGhdktwJvAvcAL6tqrM9lyRJe1andxBJPkryW5LNm64fTvJjkmtJ3pgZeh44X1WvAM92WZskab6u32LaAA7PXkhyG/AO8DRwEDiW5OB0eD/wy/TnfzuuTZI0R6cBUVXfAX/edPlx4FpV/VxVN4BPgCPTsetMQqLz2iRJ8/XxN4h9/H+XAJNQeGL682fA6STPAF+2Fid5FXgduBv4O8mVDmud5y7gr4Hvv8oey6zZztxFc+aNzxu7F/h9wWv3bbf2yDLr1jVvlT6xR7be//5tra6qlR/AN8Bm43FkZs4BYHPm+VHgg5nnLwOnd1JHHw/gzND3X2WPZdZsZ+6iOfPGF4xd7rsH9mqPLLNuXfNW6RN7ZOf77+gOoqoOrbDsV+C+mef7p9fGpnmHM7D9V9ljmTXbmbtozrzxrn/HXdutPbLMunXN2619MugeyTRlOpPkAPBVVT0yfX478BPwJJNguAS8VFV9vVWkEUpyuaoe67sODZc9snNdf8z1Y+B74OEk15Mcr6p/gJPAReAqcM5w0ArO9F2ABs8e2aHO7yAkSePkR0klSU0GhCSpyYCQJDUZEBq9JA8m+TDJ+b5r0XAleS7J+0k+TfJU3/WMgQGhQVrmoMeaHNtyvJ9K1acl++TzmhwEegJ4oY96x8aA0FBtsNxBj9qbNli+T96ajmsBA0KDVMsf9Kg9aJk+ycTbwNdV9cOtrnWMDAiNSeugx31J7knyHvBokjf7KU0D0uwT4DXgEHA0yYk+ChubQX2jnLSKqvqDyfvK0paq6hRwqu86xsQ7CI3JbjnoUd2yT9bEgNCYXAIeSvJAkjuAF4Eveq5Jw2OfrIkBoUHyoEdth33SLQ/rkyQ1eQchSWoyICRJTQaEJKnJgJAkNRkQkqQmA0KS1GRASJKaDAhJUpMBIUlq+g81R/E3ea5yjwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X196719.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-06_p2_c6.dat')\n", + "(3.3192529737538615e-13, 1.2, 2.3856617472746424e+18, 1.988051456062202e+18)\n", + "(1.2657056343498644e-07, 1.4, 1698888880789.25, 1213492057705.6072)\n", + "(0.003039007563796919, 1.6, 25434886.997104194, 15896803.37319012)\n", + "(0.020985595690073515, 1.6438017078531195, 3027715.9380163653, 1841897.5231319058)\n", + "(0.14006087390864755, 1.6888025342130204, 374192.5139895679, 221571.68621339503)\n", + "(0.9043275030010479, 1.7350353062287744, 47964.62205718413, 27643.752752287637)\n", + "(5.653994613598158, 1.7825337497276996, 6370.070419164438, 3572.6043820418727)\n", + "(34.26192971306782, 1.8313325138176362, 875.6236712873967, 477.13472686183695)\n", + "(201.41097945571718, 1.8814671961627354, 127.64014521606214, 66.84074974912402)\n", + "(1149.5944079881458, 1.932974368951203, 16.294805202794894, 7.429912710966861)\n", + "(5107.839116510911, 1.9858916055739333, 3.8749138493926036, 0.9512212240167724)\n", + "(11735.009083053337, 2.0402575080335033, 2.2924373956411404, 0.1236019897560382)\n", + "(16659.006995260028, 2.153495031258826, 1.9152777395363252, -0.11061891867159357)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-06/X225622.340')\n", + "('z340', 'READ 2024-12-06/X225623.340')\n", + "('z340', 'READ 2024-12-06/X225624.340')\n", + "('z340', 'READ 2024-12-06/X196718.340')\n", + "('z340', 'READ 2024-12-06/X196719.340')\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6),dpi=150)\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.loglog(t0,r0,'o',alpha=0.5, label=\"CH{}:{} {}\".format(sensor.channel, sensor.serialno, sensor.model))\n", + "\n", + "plt.title(sensor.outputpath.split('/')[0])\n", + "plt.grid(which='both',alpha=0.2)\n", + "plt.xlabel('T (K)')\n", + "plt.ylabel('R (Ohm)')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/calib_cernox_2024-12-09.ipynb b/calib_cernox_2024-12-09.ipynb new file mode 100644 index 0000000..73a0313 --- /dev/null +++ b/calib_cernox_2024-12-09.ipynb @@ -0,0 +1,590 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 59}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c2.dat')\n", + "{'selected': 0, 'averaged': 59}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 59}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c5.dat')\n", + "(65.544, 81.2136, 42.325388448806535, -0.47883866188906127)\n", + "(62.4943, 77.5486, 40.60352175244162, -0.47641193068035237)\n", + "(60.8736, 75.6053, 39.68410649020259, -0.47511475398943476)\n", + "{'selected': 1, 'averaged': 47}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 59}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X142475', 'CX-1050-CU-HT'),\n", + " Sensor(2, 'X221296', 'CX-1050-CU-HT'),\n", + " Sensor(4, 'X149797', 'CX-1050-SD-HT'),\n", + " Sensor(5, 'X221297', 'CX-1050-CU-HT'),\n", + " Sensor(6, 'X221298', 'CX-1050-CU-HT'),\n", + " ],\n", + " t_points = (1.58,1.59) + logrange(1.6, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2024-12-09', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-11-05/X133982.340')\n" + ] + }, + { + "ename": "IOError", + "evalue": "[Errno 2] No such file or directory: '2023-11-05/X133982.340'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m\u001b[0m", + "\u001b[0;31mIOError\u001b[0mTraceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mtestlist\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X133982'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X133928'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X131824'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X132254'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X137461'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtestlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2023-11-05/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2023-11-05/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompare_calib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/home/l_samenv/sea/calib_scripts/zcalib.pyc\u001b[0m in \u001b[0;36mread_curve\u001b[0;34m(filename, kind, instance, **filterargs)\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"READ %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 121\u001b[0m \u001b[0mcurves\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mIOError\u001b[0m: [Errno 2] No such file or directory: '2023-11-05/X133982.340'" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2023-11-05/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2023-11-05/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X142475.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X221296.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X149797.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X221297.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c5.dat')\n", + "(83.16450210147866, 149.50877657012006, 132.17167050262572, -0.1159604570729879)\n", + "(83.21423990896714, 153.6017389156212, 132.08322794064375, -0.14009288649263488)\n", + "(83.40039828257585, 157.80675047419183, 131.75314920419711, -0.16509814182033739)\n", + "(83.70397950047611, 162.1268787126423, 131.2180419172449, -0.19064597456527238)\n", + "(84.10590427033374, 166.5652750729607, 130.5155825981662, -0.2164298198349184)\n", + "(84.58679711099641, 171.12517727122327, 129.68396098987373, -0.24216901885610712)\n", + "(85.1268175430344, 175.80991165944047, 128.7614070977305, -0.26761008021463045)\n", + "(85.70553567123227, 180.62289565205901, 127.78580573913237, -0.29252708922743)\n", + "(86.30185924917278, 185.56764021889387, 126.79440087468993, -0.31672138135116434)\n", + "(86.89401159763034, 190.64775244630692, 125.8235554764812, -0.3400207772608412)\n", + "(87.45956744892986, 195.86693816849888, 124.90865019107314, -0.36227802732272407)\n", + "(87.9755469815512, 201.22900467083724, 124.08418645228348, -0.3833682840341248)\n", + "(88.41857179249764, 206.7378634671911, 123.38391697010562, -0.4031866495046447)\n", + "(88.7650827771925, 212.39753315329597, 122.84110701208873, -0.42164532144811073)\n", + "(88.99161921955013, 218.212142338236, 122.488600298773, -0.4386719318812624)\n", + "(89.07515574583614, 224.18593265617528, 122.35908767976991, -0.454207111793107)\n", + "(88.99349145055703, 230.32326186054073, 122.48569482618811, -0.46820093707967536)\n", + "(88.72568252569796, 236.6286070029114, 122.9026082014283, -0.480609678778542)\n", + "(88.25250678306777, 243.10656769893157, 123.64558967114161, -0.491393462375451)\n", + "(87.55694629743611, 249.76186948363343, 124.75231190122113, -0.5005149818939997)\n", + "(86.6247199044819, 256.5993672586155, 126.26340501000392, -0.5079356338289469)\n", + "(85.44501855709902, 263.6240488335885, 128.22332780036743, -0.5136129333886841)\n", + "(84.01096232922399, 270.84103856487945, 130.68090456987917, -0.5174996179961302)\n", + "(82.31992785609854, 278.25560109353853, 133.68990579979638, -0.5195428042619882)\n", + "(80.37650868545292, 285.87314518578415, 137.30548437531678, -0.5196978565927056)\n", + "(78.28239194173794, 293.69922767858435, 141.40414011887458, -0.5185409875383702)\n", + "(76.24153504553384, 301.7395575332493, 145.6165490745351, -0.5174098143943578)\n", + "(74.37766302187545, 310.0, 149.66685661846319, -0.5172036883275382)\n", + "(70.30446342893819, 330.0, 159.27088275934463, -0.5173609613353193)\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X221298.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X142475.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X221296.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X149797.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X221297.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c5.dat')\n", + "(83.16450210147866, 149.50877657012006, 132.17167050262572, -0.1159604570729879)\n", + "(83.21423990896714, 153.6017389156212, 132.08322794064375, -0.14009288649263488)\n", + "(83.40039828257585, 157.80675047419183, 131.75314920419711, -0.16509814182033739)\n", + "(83.70397950047611, 162.1268787126423, 131.2180419172449, -0.19064597456527238)\n", + "(84.10590427033374, 166.5652750729607, 130.5155825981662, -0.2164298198349184)\n", + "(84.58679711099641, 171.12517727122327, 129.68396098987373, -0.24216901885610712)\n", + "(85.1268175430344, 175.80991165944047, 128.7614070977305, -0.26761008021463045)\n", + "(85.70553567123227, 180.62289565205901, 127.78580573913237, -0.29252708922743)\n", + "(86.30185924917278, 185.56764021889387, 126.79440087468993, -0.31672138135116434)\n", + "(86.89401159763034, 190.64775244630692, 125.8235554764812, -0.3400207772608412)\n", + "(87.45956744892986, 195.86693816849888, 124.90865019107314, -0.36227802732272407)\n", + "(87.9755469815512, 201.22900467083724, 124.08418645228348, -0.3833682840341248)\n", + "(88.41857179249764, 206.7378634671911, 123.38391697010562, -0.4031866495046447)\n", + "(88.7650827771925, 212.39753315329597, 122.84110701208873, -0.42164532144811073)\n", + "(88.99161921955013, 218.212142338236, 122.488600298773, -0.4386719318812624)\n", + "(89.07515574583614, 224.18593265617528, 122.35908767976991, -0.454207111793107)\n", + "(88.99349145055703, 230.32326186054073, 122.48569482618811, -0.46820093707967536)\n", + "(88.72568252569796, 236.6286070029114, 122.9026082014283, -0.480609678778542)\n", + "(88.25250678306777, 243.10656769893157, 123.64558967114161, -0.491393462375451)\n", + "(87.55694629743611, 249.76186948363343, 124.75231190122113, -0.5005149818939997)\n", + "(86.6247199044819, 256.5993672586155, 126.26340501000392, -0.5079356338289469)\n", + "(85.44501855709902, 263.6240488335885, 128.22332780036743, -0.5136129333886841)\n", + "(84.01096232922399, 270.84103856487945, 130.68090456987917, -0.5174996179961302)\n", + "(82.31992785609854, 278.25560109353853, 133.68990579979638, -0.5195428042619882)\n", + "(80.37650868545292, 285.87314518578415, 137.30548437531678, -0.5196978565927056)\n", + "(78.28239194173794, 293.69922767858435, 141.40414011887458, -0.5185409875383702)\n", + "(76.24153504553384, 301.7395575332493, 145.6165490745351, -0.5174098143943578)\n", + "(74.37766302187545, 310.0, 149.66685661846319, -0.5172036883275382)\n", + "(70.30446342893819, 330.0, 159.27088275934463, -0.5173609613353193)\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X221298.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-09_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-09/X142475.340')\n", + "('z340', 'READ 2024-12-09/X221296.340')\n", + "('z340', 'READ 2024-12-09/X149797.340')\n", + "('z340', 'READ 2024-12-09/X221297.340')\n", + "('z340', 'READ 2024-12-09/X221298.340')\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6),dpi=150)\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.loglog(t0,r0,'o',alpha=0.5, label=\"CH{}:{} {}\".format(sensor.channel, sensor.serialno, sensor.model))\n", + "\n", + "plt.title(sensor.outputpath.split('/')[0])\n", + "plt.grid(which='both',alpha=0.2)\n", + "plt.xlabel('T (K)')\n", + "plt.ylabel('R (Ohm)')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/calib_cernox_2024-12-12.ipynb b/calib_cernox_2024-12-12.ipynb new file mode 100644 index 0000000..fc3cf05 --- /dev/null +++ b/calib_cernox_2024-12-12.ipynb @@ -0,0 +1,529 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c2.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c5.dat')\n", + "{'selected': 0, 'averaged': 60}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 60}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X220790', 'CX-1010-CU-HT'),\n", + " Sensor(2, 'X220943', 'CX-1050-CU-HT'),\n", + " Sensor(4, 'X149796', 'CX-1050-SD-HT'),\n", + " Sensor(5, 'X221295', 'CX-1050-CU-HT'),\n", + " Sensor(6, 'X222481', 'CX-1050-CU-HT'),\n", + " ],\n", + " t_points = (1.58,1.59) + logrange(1.6, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2024-12-12', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-11-05/X133982.340')\n" + ] + }, + { + "ename": "IOError", + "evalue": "[Errno 2] No such file or directory: '2023-11-05/X133982.340'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m\u001b[0m", + "\u001b[0;31mIOError\u001b[0mTraceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mtestlist\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X133982'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X133928'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X131824'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X132254'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X137461'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtestlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2023-11-05/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2023-11-05/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompare_calib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/home/l_samenv/sea/calib_scripts/zcalib.pyc\u001b[0m in \u001b[0;36mread_curve\u001b[0;34m(filename, kind, instance, **filterargs)\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"READ %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 121\u001b[0m \u001b[0mcurves\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mIOError\u001b[0m: [Errno 2] No such file or directory: '2023-11-05/X133982.340'" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2023-11-05/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2023-11-05/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X220790.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X220943.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X149796.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X221295.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X222481.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X220790.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X220943.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X149796.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X221295.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X222481.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-12_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-12/X220790.340')\n", + "('z340', 'READ 2024-12-12/X220943.340')\n", + "('z340', 'READ 2024-12-12/X149796.340')\n", + "('z340', 'READ 2024-12-12/X221295.340')\n", + "('z340', 'READ 2024-12-12/X222481.340')\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6),dpi=150)\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.loglog(t0,r0,'o',alpha=0.5, label=\"CH{}:{} {}\".format(sensor.channel, sensor.serialno, sensor.model))\n", + "\n", + "plt.title(sensor.outputpath.split('/')[0])\n", + "plt.grid(which='both',alpha=0.2)\n", + "plt.xlabel('T (K)')\n", + "plt.ylabel('R (Ohm)')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/calib_cernox_2024-12-17.ipynb b/calib_cernox_2024-12-17.ipynb new file mode 100644 index 0000000..91e0b1e --- /dev/null +++ b/calib_cernox_2024-12-17.ipynb @@ -0,0 +1,479 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c1.dat')\n", + "{'selected': 2, 'averaged': 58}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c2.dat')\n", + "{'selected': 3, 'averaged': 57}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c4.dat')\n", + "{'selected': 3, 'averaged': 57}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c5.dat')\n", + "{'selected': 3, 'averaged': 57}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X198039', 'CX-1050-CU-HT'),\n", + " Sensor(2, 'X196722', 'CX-1050-CU-HT'),\n", + " Sensor(4, 'X196720', 'CX-1050-SD-HT'),\n", + " Sensor(5, 'X196721', 'CX-1050-CU-HT'),\n", + " ],\n", + " t_points = (1.58,1.59) + logrange(1.6, 310, n=195) + (330,), # the points to be used in the cal file\n", + " caldate = '2024-12-17', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2023-11-05/X133982.340')\n" + ] + }, + { + "ename": "IOError", + "evalue": "[Errno 2] No such file or directory: '2023-11-05/X133982.340'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m\u001b[0m", + "\u001b[0;31mIOError\u001b[0mTraceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mtestlist\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X133982'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X133928'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X131824'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X132254'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'X137461'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtestlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2023-11-05/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'z340'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread_curve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2023-11-05/%s.340'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0msensno\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompare_calib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/home/l_samenv/sea/calib_scripts/zcalib.pyc\u001b[0m in \u001b[0;36mread_curve\u001b[0;34m(filename, kind, instance, **filterargs)\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"READ %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 121\u001b[0m \u001b[0mcurves\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mIOError\u001b[0m: [Errno 2] No such file or directory: '2023-11-05/X133982.340'" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors (skip if not applicable)\n", + "plt.figure(figsize=(10, 6))\n", + "tmin,tmax,dmax=1.4,310,0.001\n", + "testlist = (('X133982', 'z340'),('X133928', 'z340'),('X131824', 'z340'),('X132254', 'z340'),('X137461', 'z340'))\n", + "for sensno, kind in testlist:\n", + " r0, t0 = read_curve('2023-11-05/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2023-11-05/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + "plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + "plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + "plt.xscale('log')\n", + "plt.yscale('symlog',linthreshy=dmax)\n", + "plt.grid(True, axis='y')\n", + "plt.axis([1.0,350,-1,1])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-17/X198039.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-17/X196722.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAECCAYAAADkaECYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAIABJREFUeJzt3Xl4VNX5wPHvmckkkz0hK1kg7BD2sCMgCrIIIrijglqUosVf60LVaitV0FpbbVHUgiCuIKUqoCCKiOwCYYcAhiWQhCRk35NZzu+PiRBgAgFmSALv53nyhDn33nPODDf3nbPcc5XWGiGEEOJshrqugBBCiPpJAoQQQginJEAIIYRwSgKEEEIIpyRACCGEcEoChBBCCKckQAghhHBKAoQQQginPOq6Ar9SSvkC7wCVwGqt9ad1XCUhhLimubUFoZSaq5TKUkrtOSt9mFLqgFIqWSn1bFXybcAirfUjwCh31ksIIcSFubuLaR4wrHqCUsoIzASGA/HAWKVUPBADHK/azebmegkhhLgAtwYIrfUaIPes5J5Astb6sNa6ElgA3Aqk4ggSbq+XEEKIC6uLMYhoTrcUwBEYegEzgLeVUiOApTUdrJSaCEwBgjw9PUPj4uLcWFUhhLj6HDx4MFtrHXah/erNILXWugR4qBb7zQJmAXTv3l1v3brV3VUTQoirilIqpTb71UVXThoQW+11TFWaEEKIeqQuAsQWoJVSqplSyhO4B1hSB/UQQghxHu6e5jof2Ai0UUqlKqUmaK2twGRgBZAELNRa73VnPYQQQlw8t45BaK3H1pC+DFjmzrKFEKK2LBYLqamplJeX13VVXMpsNhMTE4PJZLqk4+vNILUQQtSV1NRU/P39iYuLQylV19VxCa01OTk5pKam0qxZs0vKQ+43EEJc88rLywkJCblqggOAUoqQkJDLahVJgBBCCLiqgsOvLvc9SYAQQoh6ZurUqfzjH//gL3/5CytXrgRg7dq1tG/fni5dulBWVsawYcMICgpi5MiRbquHjEEIIUQ99dJLL53696effspzzz3H/fffD8CUKVMoLS3lP//5j9vKlxaEEELUA9OnT6d169b069ePAwcOAPDggw+yaNEi3n//fRYuXMif//xn7rvvPgAGDRqEv7+/W+skLQghhKjmr0v3si+90KV5xkcF8OIt7WvcnpiYyIIFC9ixYwdWq5WEhAS6det2avvDDz/MunXrGDlyJHfccYdL63Y+EiCEEKKOrV27ljFjxuDj4wPAqFH145E4EiCEEKKa833Tv9bIGIQQQtSxAQMG8NVXX1FWVkZRURFLl9b4xIMrSloQQghRxxISErj77rvp3Lkz4eHh9OjR44LH9O/fn/3791NcXExMTAxz5sxh6NChLq2X0lq7NMMrSZ4HIYRwhaSkJNq1a1fX1XALZ+9NKZWote5+oWOli0kIIYRTEiCEEEI4JQFCCCGEUxIghBBCOFWvAoRSqrlSao5SalFd10UIIa51LgsQSqm5SqkspdSes9KHKaUOKKWSlVLPni8PrfVhrfUEV9VJCCHEpXNlC2IeMKx6glLKCMwEhgPxwFilVLxSqqNS6uuzfsJdWBchhGiwLrTc98aNG+nTpw/t27enU6dOfP75526ph8tulNNar1FKxZ2V3BNI1lofBlBKLQBu1Vq/CrhvEXMhhLgK1LTc98GDB/noo49o1aoV6enpdOvWjaFDhxIUFOTS8t19J3U0cLza61SgV007K6VCgOlAV6XUc1WB5Ox9JgJTgKCgoCBWr17t2hoLIa45gYGBFBUV1WkdXn/9dT777DPCwsKIjo6ma9eu3HfffQwbNoyCggI+//xzvv32W5YsWcKcOXMAKCoqwt/fn9DQUI4cOULLli3Pybe8vPySr5P1aqkNrXUOMOkC+8wCZoHjTuqBAwdegZoJIa5mSUlJp5+tsPxZyNjt2gIiO8Lwv9W4OTExkS+//JJdu3adWu67d+/emEwmvL29GTduHFu3bnW63PfmzZuxWq107twZg+HcUQOz2UzXrl0vqdruDhBpQGy11zFVaUIIIapc6nLfJ06cYNy4cXz44YdOg8PlcneA2AK0Uko1wxEY7gHudXOZQghx6c7zTb8+KSwsZMSIEUyfPp3evXu7pQxXTnOdD2wE2iilUpVSE7TWVmAysAJIAhZqrfe6qkwhhLgaXOxy35WVlYwZM4bx48e79QlzrpzFNLaG9GXAMleVI4QQV5uLXe574cKFrFmzhpycHObNmwfAvHnz6NKli0vrJct9CyGuebLct3P1aqkNIYQQ9YcECCGEEE5JgBBCCOGUBAghhBBOSYAQQgjhlAQIIYQQTtWrtZiEEEI4lvv28/OjsLCQAQMGMHjwYNauXcukSZMwmUwsXryYMWPGYLfbsVgsPP7440yadN5l7C6JBAghhKinalruu7Kyko0bN+Ll5UVxcTEdOnRg1KhRREVFubR8CRBCCFEPTJ8+nQ8//JDw8HBiY2Pp1q0bDz74ICNHjiQ/P5+FCxeyYsUKli9fzqeffnrquIqKCux2u1vqJAFCCCGqeW3za+zP3e/SPNs2asszPZ+pcXtiYiILFixgx44dp5b77tat26ntDz/8MOvWrTtjue/jx48zYsQIkpOTef31113eegAZpBZCiDpXfbnvgICAWi33HRsby65du0hOTubDDz8kMzPT5fWSFoQQQlRzvm/69VFUVBQdOnRg7dq1Ll/ZVVoQQghRxy52ue/U1FTKysoAyMvLY926dbRp08bl9ZIWhBBC1LGLXe47KSmJp556CqUUWmuefvppOnbs6PJ6yXLfQohrniz37Zx0MQkhhHCqXnUxKaVGAyOAAGCO1vq7Oq6SEEJcs1z5TOq5SqkspdSes9KHKaUOKKWSlVLPni8PrfVXWutHgEnA3a6qmxBCiIvnyhbEPOBt4KNfE5RSRmAmcBOQCmxRSi0BjMCrZx3/G611VtW/X6g6TgghRB1xWYDQWq9RSsWdldwTSNZaHwZQSi0AbtVavwqMPDsPpZQC/gYs11pvc1aOUmoiMAUICgoKYvXq1a56C0KIa1RgYCBFRUV1XQ23KC8vv+TrpLvHIKKB49VepwK9zrP/48BgIFAp1VJr/d7ZO2itZwGzwDGLaeDAga6rrRDimpSUlIS/v39dV8MtzGYzXbt2vaRj69UsJq31DK11N631JGfBQQghrnXz5s0jPT39ipTl7gCRBsRWex1TlSaEEOISXMkA4e4upi1AK6VUMxyB4R7gXjeXKYQQDc4nn3zCjBkzqKyspFevXrzzzjtMmDCBrVu3opTiN7/5DbGxsWzdupX77rsPb29vNm7ciLe3t9vq5LIAoZSaDwwEQpVSqcCLWus5SqnJwAocM5fmaq33uqpMIYRwtYxXXqEiybXLfXu1a0vkn/5U4/akpCQ+//xz1q9fj8lk4rHHHmPatGmkpaWxZ4/jzoH8/HyCgoJ4++23+cc//kH37he8EfqyuXIW09ga0pcBy1xVjhBCXG1++OEHEhMTT63BVFZWxrBhwzh8+DCPP/44I0aMYMiQIVe8XvXqTmohhKhr5/um7y5aax544AFeffXM28OmT5/OihUreO+991i4cCFz5869ovWqV7OYhBDiWjRo0CAWLVpEVpbjXuHc3FxSUlKw2+3cfvvtTJs2jW3bHLeG+fv7X7F7NqQFIYQQdSw+Pp5p06YxZMgQ7HY7JpOJN954gzFjxpx63vSvrYsHH3yQSZMmXZFBalnuWwhxzZPlvp2TLiYhhBBOSYAQQgjhlAQIIYQQTkmAEEIIHFNNrzaX+54kQAghrnlms5mcnJyGESQqSyA7GbL2Q3FWjbtprcnJycFsNl9yUTLNVQhxzYuJiSE1NZWTJ0/WdVXOT2soygBtB6VAp0JAlOPfTpjNZmJiYi65OAkQQohrnslkolmzZnVdjQvb9jEsnwx3fwraBgvHw7ivoMUNbilOupiEEKIhsFbAT69BVAK0HQGthoCnP+xZ5LYiJUAIIURDcHg1FByH659xdCmZvKHdSEha6ggebiABQgghGoKj68BggubXn07rcAeUF8CRNW4pUgKEEEI0BCkbILqbo+Xwq7DWjt/FmW4pUgKEEELUdxXFcGIHxF13ZrrR0/HbVumWYutVgFBKtVNKvaeUWqSUerSu6yOEEPVC6mawW6Fp3zPTfw0Q1noeIJRSc5VSWUqpPWelD1NKHVBKJSulnj1fHlrrJK31JOAu4Lrz7SuEENeMlA2gjBDb68z0BtSCmAcMq56glDICM4HhQDwwVikVr5TqqJT6+qyf8KpjRgHfII8pFUIIh6ProXFn8PI/M93NAcKlz4NQSsUBX2utO1S97gNM1VoPrXr9HIDW+tWa8qiW1zda6xHn26dTSIheevN5dxFCiIbv2CbwDYOQFuduO7oOgpo4fmoQMHIkwXffdep1bZ8H4e47qaOB49VepwK9atgXpdRA4DbAixpaEEqpicAUIKiltw/5+fkuq6wQQtQ/miC7lXKLjXIn17tApagoL3O6DcAjNZX8/Hx2RoRfdMn1aqkNrfVqYPUF9pkFzALHE+U6L13i/ooJIURdKcmG11vA8Geg12/P3f5KNHQbDEOnOz08Zdx4ADoPHHjRRbt7FlMaEFvtdUxVmhBCiNoozXX89m7kfLvR1CAGqZ3ZArRSSjVTSnkC9wDylV8IIWqrNMfx2yfY+XajZ/0PEEqp+cBGoI1SKlUpNUFrbQUmAyuAJGCh1nqvq8oUQoirXtmFWhCeYLO4pWiXjUForcfWkL4MmbIqhBCX5tcuJp8Q59uNJlmsTwghrkm/tiB8ampBeNX/LiYhhBBuUJrrWMXV08/5dqPJbV1MEiCEEKI+K8t1tB5qeKxogxikFkII4QaluTUPUIMECCGEuGaV5dU8/gDgIQFCCCGuTaW54F3DPRAgLQghhLhm/ToGURM33gchAUIIIeorrWsxBiH3QQghxLWnshjsllq0IKSLSQghri0XWqgPpItJCCGuSRe6ixqkBSGEENckaUEIIUTdqLDa+HhTCq8uT+JkkXsGei9LWZ7jd00L9UHVUhvuqXu9eqKcEEJcKal5pdwzaxOpeWUoBfN/Psbf7+jMsA6RdV2100pr0cXkIYv1CSGES7327QGyiyv48Dc9+f6J64kL9eWJz3dwJLvEbWWmFaex8MBCrHZr7Q74dQzCHFTzPkZP0Haw2y6/gmeRACGEuOZsP5bH0p3pTBzQgutbh9Ey3I//jOuGp4eBPyzYjsVmd3mZ2WXZTFgxgZc3vczkVZMpsdQiEJXmgDkQjOfp7DGaHL/d0IqQAFGH7HaN1WZHa13XVRHimvLqsv2E+Xvx2wHNT6U1DvTm1ds6sjO1gA/WH3FpeZW2Sib/MJnc8lwmdJjApvRNPLv22QsepwvSsPhFnH8no6fjtxtulpMxiDpgtdl54/uDzFpzGKtd0zbSn/+M60bTEN+6rpoQV7196YVsPprLX0bG4+t15iXw5o6NuaFNGG+tSubObrEE+3q6pMxFBxexN2cvbw58k8FNB2M0GJm9azYZJRlE+jof8yiqLOLJsiSO+yvml+cRbD7PM6nBLTOZpAVxhVVYbfzf+9/xy5rPeSk2kaevb0xGYTm3zlzPjuP5tcpD2+1s/2kp2/fspbDcPdPb6lJeeR6LDi7iu6PfkV6c7vbybHYbbya+yS1f3sKc3XMoqixye5niCsg5BMufhXf6wN4vTyV/vuUYnh4GbkuIdnrYcze3o6TCyoxVv7ikGhW2CubsnkNCeAKDmgwCYEzLMWg0i5MXOz2moKKAB799kK0GC1lYeW7dc9h1Dd1epwKE67uYpAVxhX2x8CPeSJ+C2dMCmUDBbMb2m8ItP8cz5b87Wf77/ngYzx+3d332J7omvwvAdt0ar/s+I751qytQe/fSWvPxvo95d+e7FFuKAfAyejHjhhn0je5b63ysNjtWu8akKzF6ep9331JLKU+sfoIN6RtoGdSSf237F1/sX8EDca/Tu3kYTUJ8av8Gcg/DLyuh4BgENYV2t4B/PZoRc4kKSi18vvUYGw7lUFBmISbYh5GdGjMkPgJV00Ns6pq1Aj65DQpPOGb5bHoP2o+h3GLjy+1pDO8QSZCP89ZB6wh/7u7RhI83pnBfr6a0DK/hSW4A+cfh2CaI6QaNmjvdZdHBRWSVZfFq/1dPfV4xhVn08I5i8d6PmdjyDpTvmdNY5++fz8G8g7yXeZK0jrfxcto6Pkv6jPvj7z9jP601W44X0RMkQDhlKQMPc81PW3ITrTUrk7LYeCgHs8nA8A6N6RgTeN5j9q5bzJgDU8j1jiPq3plgMMKP0wlZ8wJzOz3DsM2d+fTnYzzQN67GPNJXvEnn5HdZ7zMI/5btSTz6MctW30ZWYiBKKRr7NqZVcCsSwhPoEdmDWP/Yi/4jLq20cjCzmKzCcsosNgxKYTSoU7/9vDyIDvImMtCMp0e1YFaaCzvnQ9LXYPKG8HbQ/6nzT9GrYrPbeHnTy/zvl//RP6wrvys3UGpV/NVyhMdXPc5bN7513iBhs2tWJmWyODGF6ORPuYU1dDIcodzoh0dsdzyufwri+p9xnmiteWnTS2xM38iLfV7EXtCLFw98wLGI//KnlfOwFnSnX8tQnripFd1iAhwDhj4h5w4Y5h2FNa/DjvmgbafvbF3+R8f7v/7Z8w8yXojd5jjPvc5zoapBmcXCmuQMth8tIb+0kuZhvozoFEV00PkDp8VuYfXx1fwvaQWJB8I4eaI9LcL8iAgws/lIDkt3ptO1SRCv3d6J1hH+zjOpLIXMvY7PJ7wdhMeDwTWdFlprym3leHvU8D5+/o+j3HFfQmoilh+nkZzyEztPNqaw3MrdPWLPm/9TQ1rzza50pi7Zy8cTelJiKeFo4VGKLcUkhCfgWVkKX06Cg98CVWOITfrC2M/AOxitNUt2prM9NYMfimbRPaI7PRv3dOx3+Cf49E7GeBv5U1goiQvG0P2B7x2BDLDarXy4ewHm4liuKztGfsQglhvK+TTpU+5tdy8Gdfoz3JteyMebT9DTk6s/QCilhgH/BozA+1rrv533gOyDMD0SqzJR2PQmGg1+GqITTl8EtIaCVEjbCqlbIX2744/cbgNzgOPuRJ9G4N8YGjVzfAMIbgYB0TWeyCWWEj7fu5y525eSZ01BGSqxV0Qwd1cHnh/wION6t3B6XGn2MWJXPka6MYrIScvQgWHsyt7FkpZdyeEk8Snv8ruoB3jjexOjOkc57fu05RwhdOM01qruqLuf5Y9b/0JaiD/tKirpkVtOcJeRpJdmsC5tHUsOLQEg3BTADdrMqIICOkb1QnW+G5oNOCNfq83O5iO5rE3O5ufDOexKLcBqv/DAudH7GAFhifj7lRHnUcqDGTsZUJiDR2QnsJbBpnfROxdQMfxNcmJvIsDsgZ+XxzkBq7iymOfWPcfq46t5pFECk7cuo1IbqbArPjGWMyqiNY9+/wee6fQe93TpisFw+viyShuLtqUyZ+1hyD3ETPO7tDckk+kfz3LTOE5mZXBzylZCP7wF4m+FW985daGdv38+3xz+hsldJpN6rBP/WrmLvi0HUx64j5OeqxgddivrNu2m5P2nsBv3YsCO3cMHFdMNFdvTcf6kb0fv+wqUEXo+gur9GAQ1gZMHYP2/HYEjZSPc/j4END7nM7TbNTtS89mXXsixnBIKK8owGKCF2UqPwu9olvk9vgUHMFjL0Z5+qKiu0H40dLzTMbvFidS8AmZtX8j3aYsotmWAsuNVHkanUn+a7fBi9qpm3Hj7RAZ0dH6u5pbnMvG7iRzIO4DRbsQWZOM6PyMzvZoTFB6PbUB/vsptwSsrj3PLW+v447C2PNCn6emWb+Ze2DIHvWsBqvL0TJ1K7wg8+kzC0OM34H2eaZvVP5+ik1hTE1Hp2yBjB98W/cLHJgu/GBVWBcObDOLpXn/CYA/kQEYRxRVWrou047fmdWg1FGuzAczJ+pkFsdFkr54MQFDLJnj6RgKhNZYb6ufFU0Pa8OKSvby8+mOWpr1Fua0cAH+TH7eXWXgs/Sje1/8RWg2BlA2w6mX4aDQnb1vIHxYfYX1yDl4RSzEF5xFWeacj4/QdMH8shLRg8N2fMH3Z3XxZdpzu3zwJt84EYNbWpRTbcuhnaQ+s5+nvCxh9+xhe2PA8iZmJ9Ijscaqe+zOKqPz1Mu6GAKHqywwapZQROAjcBKQCW4CxWut9NR3TPsak+/0pgSSThQHlhfwuP5fGXsEQ1hbQjgBSctKxs9GLE43bs9bHm022IvbbisnGio9d06aygmHFJQwtKcVHa7TRExXU1BE0AqLAL5LDJg8+zdnJ4rw9VCgbYVY7XSrK8cHIXr8gknUZdksgN0WN5e9DH8HTWO0Cb7dz+M0hRBbuIvn25XjF+PH6ltf5OeNnzEYz4T5hHCs6TqzFRv7R33HLdTfy3PB257zf1NljCUldyUfX/5v30l4n3Duc1wa8hm3TRrpte5ZDYYNp8ehCtDJw5MRWtq56gU2Fyazx8aZCKcJtdq4vKWFgaGdaDniZ/UURLN69j9VH9lCm0wn1yKSJbwlN/JuR0GI47WO64O1pxK41NrvjR2tIKUjnwwP/Yn/RBjzwIbzCToWxhBwPIx5WHwIZgE95H8IK8phS8TbxHGGqdTwf2YYS6ufFg32bMr5vHAFmE7tO7uLP6/9MSmEKfwxO4N7E/7GKHvyViYzq05H7T/wNa+pSbo2Ko9TSiLDCp7k9oQUBZg/2pBfy/b5MCsosjG6cw99L/ozJqKi8+e/86BfAxhMbySwsZ31SGePshTxdvBhDaBu451O+zN3FixteZEDMAG4Of47HPt3BbQnRvH5HZ/bn7uOeb+5hUuQAHtuyiEpt5H+GIewvDaCZyqC74SDtVAoeyk6SIZDXA+LY6mfBbixHaRPBhnh6RlzPY93H0DxtOXzzJJh84PbZ0OJGAJJOFPK/7UdZfOAHioyJGMzpGEy5KINjLruH1oTabPhbTCirP+aKQHqWeTLa9gtNdSplyod1AcNZE3wHWcZwSittlFbaSC9LptDvAwxe2eiyWHp5BNLedpBEithl9qKpxcqfsnPpXKZJ7vIMnUc/eUarKrssm0e+e4TjhSk8mmFlfEkKS0Ia80qAJ+1sBmanp+FtrQSDB5bIBH4obsqqnCAaBQYwMqqUuMLN+GUlUqk8+drWm2+t3Tiuw4lXKdxqXM8A427yjT7Mb9WX/f6+ZNjLifaLpo1fLP3MkbSrqMB28heyU/bhmb2PEGsmdmCVtw//CAklzQTNlDc3WjQVJVksDAgAZaY4dRwVRS0AzTzftxigEyl/5Aem7JvFmtQ19Ld5MNBi5oXCvoRGbaPIms34+PE81f2pM76RV2ex2rh+7tMUea2kTWAXHk14EKPNwrIfn2e5sZKm5jCm3/gmncM6Ow44+B16wX1spj0PWf7IhEE+fHTsDzQ2XM/+PUNY9Eg3un87GsoLYOKP4B/J1A1TWZb8FT8eOYrvQ99SEtGdvvPuAlM2G5rfiu/ql+hUPptX7+vFtN33cGOTG5neb/qpOk77eh+HNnzBB56vwyOrILrbOe8jZdx4AJp+/FH1622i1rp7TdfWU/vVowDRB5iqtR5a9fo5AK31q2ftNxGYAgQFNfUKjf1Le8KNcWTqZBSaXpU+jKq00cJmoNwrjEO+YWw22dlhSyfDmgGAtgRhLYtGW4LAWIGHzyEMnnkYbCZiiyLoWuxJD2sx4cYsjppL+NHXwAYfb0xaM7y4lH7F3sT7tUD7RuBZmUfoyU0kmmz8tVEz0jyL8FNBjAgeSi+/XpiUCZ8Di+h54mNmBIxnb9NKNhZvxNvgzfDA4fTy64W3wZu0wkT+nTOXUKsHh1Je4LV+IQSZT5+4fgUH6L79j8zwGMH8pkfwMfjwZOST+Bp90VqT8vMiHiz/hEKvSMoDWhKSsxmlNYebj+dg1I3sLN3DpvydpFr3UWlwDHYpDbral3mlNUbAWnXB6Kj96R06hva+CRiVEau2sqF4A1/nfY0VK8N9+zE5ZRONCw+wK3I0M707sse6mULjflAaH2scEfbWjCvawqDi3ezwHcK/uYPdhYX4+h0nKiKJdL0Pf4M/f7Q1ZfTRZSyyDWCG1yQmJ3gT7mNA2W203/s39pfu4bGIMEwVbck5Mg4w4O0BXcKM3BGSwqijL1Fm9GZG61v4pnQTxfZifA2+mJSJAlsBGo2P1Z/h5dlkGxQ/+XjS1tyWoebf8PpmO9F+Bp7rZcZU1Tr5+PirJFlS+W+BPynxU6jwbERaseZIgY3MUg3WMgoN+9ll/i92LITqeMw6lGJbCfmGg2iPAuxWX3zKenCjsQlP580jtDKN7wNv4yVrF06admIK2IUyluOFH808m9HSbqFpzk48bGWc8GvKIZ9oMrSFAlsexToHlMbLGkVUSRPGFR1jjGULCjubVFfWenRlY2AOR/x24Ku9+F1FJLfl7cOn4iQlPjGkRY9kdUA4Cwq/4aT1JD1LTLySc5RSv+6ciJ9EpVcjCm2FvJUxgzzrSWacyKRFmZnkVo9gie7LjtKdzM2eS1uvVjxl6k3j/H0E5e/Bt/gIhz1gdlAAh0wmipQnQUWxnCi+jXZhsXQN96B5oIEyq+Zgvp3dGatI8VtGnslGXKWFKKuVdA8PUkweaKVoZLPRvawS/0ozJQSQafbjoLmQEkMJRms4xSeGYi2OJ8jLQII6wGTjv3kp0swRkyd9vUYzusjC0PR3+JO6lfXNM8izZ3Bnozu5LzeT5kc+ZpDtLX7fP5zlRYtZV7yOHr49uC/kPozKeOrvwGCrJDrta74vS2SmuRCPot6UpN9C70gTT5X+kw7lW3nMdxybGu3Abiwgzn4jHY03kV7sQZMT3/KSx1yWRN/N695JWLWVKRHPM32Dgd+qL5io/8vuDi+QE+poBRypOMIbGW/wYk4R/bw782fzSDYZZtDXayR/KTxCeNYaeljep4m/gcbNvmRryVamx0zHbDAD8PqWMoLzdvKJ56ts6/o3CgPP/WIZ/M83AMh76slTaTfccEODCxB3AMO01g9XvR4H9NJaT67pGJ9m3nrg1CdY9sArHMg+xsNfvUFL910EAAAbFElEQVSeYQPKWHbGfgaM2MuaU17YmiA6MqRVR3o3D6VjdKCjH92o2JKxnY/3LmD9iVVY9ZlNNWUNJKyiG119+3Pndf3o2eKswbmyfFj6e/S+r5jll8BMf2+0+Thmo5nW5sYEnNzHEY8A0jwteCgP7ml7D5M6TyLQ68wugo0//ZVHj/yXmOIQukS/zbQxHR0bbFbyZvSnND+Nh9snkG/N5LMRn9EssNmpY08WVfDGv/7GbfbvSDClYOx4O7rPZPZWhPPV9jSW7Ewnq6gCL5OdbtEH6GxchaksiShLJc0N3jSP7U9I80HoiHiOZifx475PWVhyhHSTBxGeQTRp1IpjhcfILM2kZ2QPXgztS5OV08BaCaNnQvsxp+qSVZrFkkNLWHF0Bftz99f4f263+BNY2o3XLMfpX/QjX9quY32Hl3h5TFe8PU//wVJeALMGMt9YwSt+Rka3uJ1HOz5JmJ8fpvREbJ/cxrcBQbwVHkFaaSZ9GvfhoQ4P0atxLwzKQG55Lm+s+4L/HViOl+9RYrWV3sUFPNJqAiO29sZkNPDl764jIsDxR8e2j9n77ZPcEx3J7zs/xsNdHj2n7quOreLpn54mLjCOGTfMIMY/5vT70naWHviJD3Z/xqGSzaDsaKsfEbZKrB5l5BqNeGLk+vBe3NZ8GL0rLHj8/B6kJULjzjDyzXO+CWaVZrHi6AqWHV7Gnpw9KBQdg9vQuqKckryjbDHayPYwMry4hOdy8ghWJkdXYsJ4aDvyVJdpha2CD/Z8wOxd76OtVh4qyKePFY636MecsqNkVRYwMyOTwtL2BI59n+7tTndDffnLl0zdOJW2jdry+4Tf42nwZEHSZ3x3bCW+Ht7EB3WmsNLCgcJEvIxeTOg4gfHx4/Ex+XC88Dgzd87km8PfEOvXlP7e9+J1KAND1j7sdk2W0YM9Pnbyg4up9D5Buc5DY8ff5E/XiK6MbD6SwU0Hk1NkY8nONA5llVBcaWVApI3Bx6bx57K9rPXxpkNFBY1MgaxVdrTdxJ97vsxdHW7i4LY1tF5yC0va/I1RYx9Fa83s3bN5a/tb9I/uzz8H/tMxnlGWB7Nu4PuKDJ4KD2VQuZWpHZ7k7wfCGZY6g/46kbc9H2ZT+F0oYzlJFZ9Q4b0JuyUQe/719I/tQr/y//ChNZ1K70DeHzaPNo3akLjhBzqsuIvjETfS8rH/nvpMtdaM+moUwaX5zDt8gO7hvdBeOay/byU+n4+H4kzeaDGHt1b9wnsTQnh6/SNMu24at7a8FYAe01fSvHgHn3u9jHXcEjxaXH/OuXq1tCAuOkB4N/PWd746g4/ueQSAkgorEz/ZyMbU3Xh5ZwFGKiv8UOVxDI1vyr29mtCnecgZfdhnK7WUsi5tHRklGXgZvegY1pF2jdpdeKBXa9j0DnrF8xw2xDLVoy/msHSK7b9Qqkz4NU7ghrj+DGk6hCYBTWrMY+784bxpSSM6swfT7voH3eMaUfrTDHx+/DN3RAzmgM9B/nXDv05Nl6vu8Mli7p39M4XlFjrFBJJTXMkvWcWYjIqBbcIZ0zWaG9uGYzZVXXztdkf3Qg3vzXZkLT8tn8xXFFPoG4KfX2PG+rWg7+GfUZl7oHEXuH0OhLas8WPJLssmKSeJo4VHsaQlYty/jIjyIpp7RxJq8yUwbx8KO18GP4Sh/5OM7hrj/LPO2A1zh/FGaCgfeNmJ9oviBnM0xSnrWOftRbYB2jZqyxMJT9Q4mD1n3RFe/nof7UI8+LvX+3TM/Y6f6UDknf+kafvejkHVn9+DH/4KLQbxaEQY+/L28/WYr/H3PD0Quyd7Dw9++yBtgtvwzuB3zgn01WWVZvH90VWsT91KiaWECFsZA3IOc+OxXfhU/9sLjoPr/gBdx11wQPtY4TGWHVnGhvQNHC44jJfRi84BzRnbqAs9vMIdY2nhbcGz5vtqjhcd58V109mStf5UWqzFwu9zjfxQMJweo/+PO3uce57+dPwnpqyZQpnV8SXM3+TPXW3u4qEOD536HI4VHuPf2/7NdynfYVRGIn0jSStOw8PgwcMdH+bhjg/jZXQMyNrtmpySSiw2O418PU+dm1a7FZu2ndrvvLRG71zA10eXM7PkF8w+ocQFxLNucw8qyv25u0csX2xOZrPhASp7/wGfYS+eOnThgYVM2zSN9iHtmdp3Kq1TtrJs5dM8Hx5Ox+DWzMo4iXf6dsfORi/sN72Eoddvz/ib2ZC2mTcS/8mBvNO94a1t8EpeCW3GLXOMd866gewyzR226Sx+ZjSB3qZT+36w5wPeSHyDbmXlJHqbua/l//HsdY/A2z0grA3pQ2fT77VVTLq+OT8U/4HmQc15d/C75JZUkvDy94wJTePN4imcGPkJjbvfcs7Hc7UEiFp1MVXn3cxbT3zzI/49+s5TaVprth3L55tdJzAoaBrqy7D2kYT51+JEc4UD32Jb/gzG/KMA7PLsgnHMO7Rv175Wh9vLC3nsk/5s8rBxXfZ1TO3dl4Af/sgM72Z8FFHC/e3u55mez9R4/PHcUt5ZnUzSiSLMJgO3dI5iRMfGNU7pu6DKUlj/L9j2MRRV3ZMQ1g76Pg6d7jp9m39tVRTDtg/h+M9Qku34ptzlPscF7UKO/Qyf3sFGTwMzggI4arBjUh50j+7Lza1v58YmN9bYn/yr1QeymLpkL8dyS/hr1GbGFn+IR0U++EU4pkaW50ObEXDHXPYWHuLeb+5lVItRvHzdywCkFqUyfvl4PI2efDbiMxqZLzxDy6ncI46BTWsZRHaCqITLm+l0iXamH+fR/37ByTwj4RU+FHo25s+3dOCu7jXP8imoKGB/7n7yKvLoH90fX5PzQLQjawdr09ZyKP8QncM6M7zZ8BpvCnOHI9klTPt6Hz/sz6JtpD9LDU9jCm0O9y44Y78fUn5g6sapFFYW4quhCDvdIroxc9BMfD18HC27w6uh9TCI7OC0LK016SXpHMw9SJRfFG3whLlDoTgTUODpS/KoLxj8STa/u6EFU4aePt8tNgszEt/j872zCLJrvn4g0TGGOT0SejwMQ6fzwNzNJGcVc9ug7XyS9Ak/3vUj+9Ks3Dv7Z17pbeXeHePZ2e9dOg++95y6XS0BwgPHIPUgIA3HIPW9Wuu9NR3j3cxbP/feYv4ydMgVqmUt2W1w+EcwBzvmR1+kopP7eeDrsaRSyVO5+ew3NGJRI0gIT2D2kNlnDoBfKXab46LmH3lJ0y1d5sQuSPzA0a0X2xN6TnRMF74IVpudUouNALPJkc+OTyFrH9is0O0BaNLn1DfEGdtmMHv3bF7o9QLhPuFM3TgVi93CvGHzaB3c2h3v8IqrtNpJTMljb3oBwzs2vuAU2IZmf0YhTRr54LN0kuOehSf2nLNPQUUB83a9T+Hm92gX0ZURoz+seQptbeUcgt2LHEtxtxkBMd34v/nb+W5fBl8/3o+W4adbpU8t3Il1z8e85PE+gfcvhrA28M82cPM/oOcjLN6Rxu8X7OC1scFM2/FbpvaZSuHJBP66dB8/jg+n2cLBrOzwdwbf8dtzqnE5AaLeTHPVWluVUpOBFTimuc49X3D4Vajv+e89qBMGI7QcfMmH+4e15T93Lmfc4juZFur4Rjy4yU282v+VugkO4HhP5+lKumIad3L00V8GD6OBgF+nZHoHQZ/f1bjvpM6TWJu2lmk/TwOgaUBT3rrxrTPGfxo6Tw8DfVqE0KfFeZ450IC1jQxw/COiA+z+r+N+nbPuzQn0CuT3QZ3gZBYMmQiXGxwAQlrAwDNb+3+6uR3rk7P57ceJLJ7cDz8vDxbvSON/21KZPGAcgbsXwda50P03jgOCmgIwJD4SX08jiQd9ifWP5duj3xJS1IogHxNx4Y4pwzmFxZdf57PUmwABoLVeBiy7mGNCvOthgHCBML9Ivhm7mozSDPIr8mnXqN0Fu0+E63kaPflo+Eck5SRRUFFAt8huBHgG1HW1xKWIrJr0kbnnnHuBADiwDDz9oFl/91Uh0Mxb93bl/vd/ZtRb62ga4sOPB07SrWkwjw1uD8b7HONgxzY57rOJTgDA29PIsA6NWb4ng9/cMox5++YQUZBMm4jGqKovjXluCBAN/ooT4FXDXZxXAaPBSLRfNO1D2ktwqEPeHt4kRCRwQ5MbJDg0ZL8GiIxzu5gASF4JzQeeuqPZXfq2CGXG2K40DjKzN72QiQOas2Bib3w8PaDbQ2C3Ou7If/Ab8D19M9/tCdEUVVix5vdGYSTFtpybOzY+tRZTfpHrn2NRr1oQF00b8DZd5CCpEOLa5BfumIyQsfvcbUWZkH8Mek26IlUZ2SmKkZ2izt0Q2hLuXegYgwiOO2NTnxYh3Nwxkv+sysQ/phueQYkM6+zruIsfKCsvp7TS6gg0LtKgv5baK0PxvMDCdkIIcUpkR+cBIm2r43dMj3O3XWmth54THACUUrw6phMRAWYKMvqilJUFBz47NZPQhJXMQtc+E6JhX12155mLxQkhxPlEdoKTSWApPzM9dQsYTI7t9Vigj4kPHurBtBGDGN5sOPP2zuOXomMAeGIls7D8AjlcnAZ/dZUAIYSotegERx//2a2I1K2O1oXJXDf1ugitI/y5t1cTnun5DAGeAbyw8SUsgKeySIA4m0m6mIQQtRXlmBVE+rbTaXYbpG2rH91LF6GRuRHP9XyOfbn7+NHPDxNWsqSL6UzSghBC1FpAlGOgOq1agMhKAktJgwsQAH2i+gCQYfLC22CXFsTZZJBaCFFrSjlaEdVbEKlbHL8vYdWDuhbgGYBRGcn38CDQU5NZJC2IM0gLQghxUaITIPsXKC90vD70A/hFOh4W1sAopQjyCiLPaCTQ005mgbQgziAtCCHERYlKADSc2OFYPPKX7x1PG6yvz9e+gGBzMPkGI34emswi1waIhn2jHNKCEEJcpKiujt+pW6A4C6zljse4NlDB5mByjQo/DzuZeeVorS/6OfQ1afABQmYxCSEuim+IY0B6/b8htI2jeym2d13X6pIFeQVxyKDw8bBTbrFTWG4943kTl6PBX11NxobZLBRC1KHb3wdlgNTNju4lQ8O9FAZ7BZOvwKfqeeZZLpzJ1HA/FUCBy5pSQohrSHAc3DEXAmOh6/11XZvLEmwOJh+Np8EK4NLlNhp0F5MEByHEJWtxI/xhd4MdnP5VsDkYu4IKZQFw6b0QDboF0Tys5mfuCiHEBTXw4ACOLiaA0l8DhAtnMjXoAOFturhHTQohxNUmyOx4olyBrsTf7OHSeyEadIAQQohr3a8tiDxdSWSA2aVjEBIghBCiAQs2/xogLEQHe3M0x3VPlqtXAUIp1U4p9Z5SapFS6tG6ro8QQtR3QV6OLqZ8baNDVCC/ZBVTbrG5JG+XBAil1FylVJZSas9Z6cOUUgeUUslKqWcvlI/WOklrPQm4C7jOFXUTQoirmdnDjDcG8rDRMSYQm12z70ShS/J2VQtiHjCseoJSygjMBIYD8cBYpVR81baOSqmvz/oJr9o2CvgGWOaiugkhxFWtkcGTPOx0igkEYHdqgUvydcl9EFrrNUqpuLOSewLJWuvDAEqpBcCtwD6t9W5gZA15LQGWKKW+AT47X7mVR46QMm78ZdZeCCEatt9nleNh01Ss/y1vpOQRtMNESpgfAOX792Nu2/aS8nXnjXLRwPFqr1OBXuc7QCk1ELgN8KKGFoRSaiIwBQhq6e1Dfn6+SyorhBANlcEOVqAgPx8vo6awtPL0tTEykvzWrTiyevVF51urAKGUWglEOtn0vNZ68UWXWgOt9Wpg9QX2mQXMAujevbvuvHSJq4oXQogG6fP/jmRbwSG+fXgJP648yIwffmH31KH4el1eG6BWR2utB19C3mlAbLXXMVVpQgghXCjI6E2e0QB2G51iArFr2JteSM9mjS4rX3dOc90CtFJKNVNKeQL3APJ1XwghXKyRhy+lBgNlFYV0jHZMe91wKPuy83XVNNf5wEagjVIqVSk1QWttBSYDK4AkYKHWeq8ryhNCCHFaSx/HCMDejETC/L0Y0DqMTzYdo8J6efdDuCRAaK3Haq0ba61NWusYrfWcqvRlWuvWWusWWuvprihLCCHEmbpGdENpTWLaOgAe6d+M7OIKFm9Pv6x869Wd1EIIIS5eYGhrWlVa2HpyBwD9WobSNtKf2WsPU1huueR8G/TzIIQQQgCBsXQvr+DLohQsdgsmg4nJN7Zk8mfb6f3KDwxqF0G7xv60jfSnbWRArbOVACGEEA2ddzDdrPCZtrIvZx+dwzozslMUTRv58uHGo6xPzmbpzovvbpIAIYQQDZ1SdDOHA2UkZibSOawzAB1jAvnHnY5/F5RZOJhZxP6MIsa/VrtsZQxCCCGuAiEBsTSzG9iUvsnp9kBvEz3iGjGud9Na5ykBQgghrgaBsQwuLefnjJ85UXzCJVlKgBBCiKtBYAy3551Ea80XyV+4JEsJEEIIcTUIakK01UbfsM588csXWO3Wy85SAoQQQlwNAh1L390ZkkBWaRY/Hf/psrOUACGEEFeDwBgArjcEEOMXw9s73r7sVoQECCGEuBr4NwZlxKMwjSe6PUFyfjJfJn95WVnKfRBCCHE1MHpAQDQUpHJT05voGt6Vt7e/jQED18deT4g5BKXURWUpAUIIIa4WwU0h+yBKKV7o/QJPrX6KqRunwkbw9/QnLiCOpgG1vw9CAoQQQlwt4vrB6r9BaS6tg1uzZPQS9uXsY3vWdo4WHuVo4VG2ZGypdXYSIIQQ4mrRcjCsfhUOrYKOd6CUon1oe9qHtj9jN0XtuppkkFoIIa4WUV3BOxiSf3BJdhIghBDiamEwQvMb4NAPoPXlZ+eCKrmMUmq0Umq2UupzpdSQuq6PEEI0OC0HQ3EmZO657Kxc9UzquUqpLKXUnrPShymlDiilkpVSz14oH631V1rrR4BJwN2uqJsQQlxTWg5y/N635LKzclULYh4wrHqCUsoIzASGA/HAWKVUfNW2jkqpr8/6Ca92+AtVxwohhLgY/pHQehhsnQuW8svKyiWzmLTWa5RScWcl9wSStdaHAZRSC4BbgX1a693AyLPzUY67OP4GLNdab3NWllJqIjAFCAoKCmL16tWueAtCCHHVCPLuS5fSb9m/aBoZjQdfcj7unOYaDRyv9joV6HWBYx4HBgOBSqmWWuv3zt5Baz0LmAXQvXt3PXDgQNfUVgghrhb6ejjxOW3zVtH2jufB5H1J2dQqQCilVgKRTjY9r7VefEklO6G1ngHMcFV+QghxTVIK+j0BXzwMb8RDh9ugcWeI6ADh7WqdTa0ChNb6UtooaUBstdcxVWlCCCHcrdOdENAYNr0LOxfAlvcd6cpY6yzc2cW0BWillGqGIzDcA9zrxvKEEEJUF9fP8WO3Q94Rx9TXjD045gFdmKumuc4HNgJtlFKpSqkJWmsrMBlYASQBC7XWe11RnhBCiItgMEBIC4i/FW58vtaHuWoW09ga0pcBy1xRhhBCiCurXt1JLYQQov6QACGEEMIpCRBCCCGckgAhhBDCKQkQQgghnJIAIYQQwikJEEIIIZySACGEEMIpCRBCCCGckgAhhBDCKQkQQgghnJIAIYQQwikJEEIIIZySACGEEMIpCRBCCCGckgAhhBDCqXoVIJRSzZVSc5RSi+q6LkIIca1z1SNH5yqlspRSe85KH6aUOqCUSlZKPXuhfLTWh7XWE1xRJyGEEJfHVS2IecCw6glKKSMwExgOxANjlVLxVds6KqW+Pusn3EV1EUII4QKueib1GqVU3FnJPYFkrfVhAKXUAuBWYJ/Wejcw0hVlCyGEcA+XBIgaRAPHq71OBXqd7wClVAgwHeiqlHpOa/2qk30mAlOAoKCgIFavXu26GgshhDilVgFCKbUSiHSy6Xmt9WJXVUZrnQNMusA+s4BZAN27d9cDBw50VfFCCCGqqVWA0FoPvoS804DYaq9jqtKEEEI0AO6c5roFaKWUaqaU8gTuAZa4sTwhhBAu5KpprvOBjUAbpVSqUmqC1toKTAZWAEnAQq31XleUJ4QQwv1cNYtpbA3py4BlrihDCCHElVWv7qQWQghRf0iAEEII4ZQECCGEEE5JgBBCCOGUBAghhBBOSYAQQgjhlAQIIYQQTkmAEEII4ZQECCGEEE5JgBBCCOGUBAghhBBOSYAQQgjhlAQIIYQQTkmAEEII4ZQECCGEEE5JgBBCCOGUSx4Y5CpKKV/gHaASWK21/rSOqySEENcst7YglFJzlVJZSqk9Z6UPU0odUEolK6WerbbpNmCR1voRYJQ76yaEEOL83N3FNA8YVj1BKWUEZgLDgXhgrFIqvmpzDHC86t82N9dNCCHEebg1QGit1wC5ZyX3BJK11oe11pXAAuDWqm2pOIKE2+smhBDi/OpiDCKa060EcASFXlX//gJ4Wyk1Aljq7GCl1ERgChAElCul9l5iPQKBgks89kqXcan5XOxxtdn/cvc537ZQIPsCedcXV+L8cWU5V+Icqu2+F9rvUrc3pPMH6vYa1LRWR2utL/kHWAnscfJza7V94oA91V7fAbxf7fU44O3Lqccl1n1WQynjUvO52ONqs//l7nOBbVuv9HlQ1/+3V6qcK3EO1XbfC+13qdsb0vnjyv9bd5ZxWS0IrfXgSzgsDYit9jqmKu1Kc9pCqadlXGo+F3tcbfa/3H2uxOd+JVyp99GQzqHa7nuh/S53e0NR769BqirKuI1SKg74Wmvdoeq1B3AQGIQjMGwB7tVaX2pXkbhKKKW2aq2713U9RMMk54/ruXua63xgI9BGKZWqlJqgtbYCk4EVQBKwUIKDqDKrrisgGjQ5f1zM7S0IIYQQDZNMJRVCCOGUBAghhBBOSYAQQgjhlAQIUW8ppZorpeYopRbVdV1Ew6OUGq2Umq2U+lwpNaSu69MQSYAQV9TFLOCoHcuxTKibmor66CLPn6+0Y+HPScDddVHfhk4ChLjS5nFxCzgKUd08Lv78eaFqu7hIEiDEFaUvfgFHIU65mPNHObwGLNdab7vSdb0aSIAQ9YGzBRyjlVIhSqn3gK5KqefqpmqiAXB6/gCPA4OBO5RSk+qiYg1dvXqinBDVaa1zcPQfC3HRtNYzgBl1XY+GTFoQoj6oLws4ioZJzh83kQAh6oMtQCulVDOllCdwD7CkjuskGg45f9xEAoS4omQBR3E55Py5smSxPiGEEE5JC0IIIYRTEiCEEEI4JQFCCCGEUxIghBBCOCUBQgghhFMSIIQQQjglAUIIIYRTEiCEEEI4JQFCCCGEU/8PZ8VY+E5W4bkAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-17/X196720.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-17/X196721.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-17/X198039.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-17/X196722.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-17/X196720.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-17/X196721.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2024-12-17_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2024-12-17/X198039.340')\n", + "('z340', 'READ 2024-12-17/X196722.340')\n", + "('z340', 'READ 2024-12-17/X196720.340')\n", + "('z340', 'READ 2024-12-17/X196721.340')\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6),dpi=150)\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.loglog(t0,r0,'o',alpha=0.5, label=\"CH{}:{} {}\".format(sensor.channel, sensor.serialno, sensor.model))\n", + "\n", + "plt.title(sensor.outputpath.split('/')[0])\n", + "plt.grid(which='both',alpha=0.2)\n", + "plt.xlabel('T (K)')\n", + "plt.ylabel('R (Ohm)')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c1-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c1-checkpoint.dat new file mode 100644 index 0000000..4754214 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c1-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38678.65 30475.3 24469.51 1.29022866 +39606.53 30521.55 24505.24 1.39163214 +40682.55 26927.77 21801.44 1.36030879 +41712.55 21626.76 17775.41 1.24398151 +42724.56 17687.78 14707.47 0.868107136 +43738.52 14657.14 12352.87 1.42007394 +44747.53 12252.09 10443.23 2.11012085 +46030.57 10157.14 8760.51 0.52980185 +46960.58 8611.1 7500.01 0.352547869 +47890.58 7333.56 6446.08 0.396434105 +48820.58 6350.36 5624.82 0.417803782 +49776.63 5504 4910.203 0.192759176 +50727.48 4818.453 4328.614 0.105187452 +51694.50 4232.833 3825.288 0.182897786 +52624.61 3745.711 3402.322 0.138324257 +53555.73 3331.894 3040.496 0.118500633 +54485.70 2979.938 2729.615 0.119668292 +55415.70 2674.97 2459.165 0.190721 +56345.63 2410.842 2223.014 0.109637585 +57275.72 2178.876 2014.181 0.219460475 +58205.68 1979.366 1833.96 0.153205744 +59135.73 1802.099 1672.423 0.138304374 +60095.65 1644.491 1527.687 0.0507158752 +61075.65 1509.949 1405.046 0.0498838651 +62018.50 1372.17 1278.411 0.0415559863 +62991.54 1260.169 1175.258 0.0492503807 +63964.55 1159.343 1082.194 0.0366387773 +64940.59 1068.609 998.47 0.0349571166 +65916.56 981.671 918.082 0.0321496501 +66905.72 904.614 846.853 0.0519047204 +67905.65 835.703 783.295 0.0322567822 +68915.66 770.841 723.494 0.0427597942 +69934.58 710.456 667.935 0.0263153947 +70967.63 654.683 616.72 0.0375765885 +72030.59 601.793 568.088 0.0399449621 +73107.47 555.632 525.769 0.0295448811 +74242.60 510.238 484.0643 0.0203420992 +75432.53 469.4588 447.0277 0.0115430065 +76685.69 431.1407 411.9777 0.00810067898 +78026.54 396.116 380.0039 0.0109740148 +79498.63 363.7421 350.3965 0.0110256519 +81178.64 334.2204 323.3919 0.0155970831 +83035.73 306.2447 297.7668 0.0155472184 +85070.58 281.516 275.0918 0.00737265217 +88422.56 259.4164 254.7052 0.0105496919 +91783.58 237.6868 234.6815 0.0143200908 +95102.59 217.5175 215.9005 0.00933300595 +98509.53 198.9408 198.6714 0.0164263203 +101914.59 182.7774 183.5067 0.00961462428 +105525.61 165.638 167.4403 0.0180709989 +109116.51 151.2383 153.8424 0.00704726897 +112706.52 138.0879 141.352 0.00286705424 +116290.59 126.0819 129.8823 0.00331375919 +119960.60 114.4454 118.7238 0.00343161769 +123541.58 104.1742 108.7824 0.00250279843 +127032.56 95.0294 99.9012 0.00412019417 +130524.50 86.4735 91.5415 0.00489744832 +133976.51 78.6485 83.8333 0.00401011222 +137334.53 71.565 76.8407 0.00305630496 +140606.55 65.0222 70.3123 0.00434062208 +143126.52 62.0262 67.3123 0.00347001441 +145205.78 60.3754 65.6623 0.00318763235 diff --git a/calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c2-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c2-checkpoint.dat new file mode 100644 index 0000000..b659854 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c2-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38709.49 30473.4 31712.55 4.69651467 +39637.50 30518.32 31773.89 2.54937051 +40713.54 26930.71 28071.38 1.56906341 +41743.51 21626.89 22588.94 1.80262031 +42755.63 17678.09 18489.03 1.75254387 +43769.52 14659.68 15367.61 1.2700748 +44778.49 12231.18 12835.78 0.730999316 +46061.62 10157.23 10672.67 0.461746684 +46991.58 8610.64 9055.18 0.31394267 +47921.55 7334.15 7717.41 0.402355564 +48851.59 6349.71 6683.68 0.467504011 +49807.67 5503.21 5792.88 0.500759423 +50757.48 4817.983 5072.36 0.433405122 +51724.52 4232.828 4451.383 0.189968682 +52655.73 3745.537 3935.529 0.115103866 +53586.50 3331.641 3497.141 0.111404219 +54516.54 2979.768 3123.148 0.184574104 +55446.54 2674.812 2799.646 0.0954064987 +56376.67 2410.658 2518.73 0.133641311 +57306.63 2179.394 2272.062 0.0771336502 +58236.56 1979.678 2059.578 0.109295929 +59166.49 1802.592 1871.202 0.102720981 +60126.53 1644.311 1703.08 0.155280392 +61106.50 1510.003 1560.424 0.0289551377 +62049.46 1372.241 1414.298 0.0421141306 +63022.59 1260.226 1295.753 0.0467129532 +63995.75 1159.35 1189.407 0.0298345437 +64971.59 1068.648 1093.997 0.0520586208 +65947.51 981.781 1002.799 0.0426485639 +66936.53 904.629 922.351 0.0412177146 +67936.65 835.715 850.769 0.0484654516 +68946.49 770.821 783.715 0.0290258505 +69965.74 710.502 721.662 0.028733256 +70998.55 654.637 664.618 0.0508487955 +72061.59 601.786 610.685 0.050798622 +73137.52 555.497 563.658 0.0365732142 +74273.57 510.25 518.031 0.0475909655 +75463.53 469.4997 477.1383 0.0142968878 +76716.54 431.1438 438.7402 0.00984256064 +78057.51 396.0898 403.8501 0.0132864216 +79529.43 363.7201 371.5544 0.0175483333 +81209.52 334.1918 342.2561 0.0166616026 +83066.49 306.2132 314.4955 0.01710687 +85101.58 281.4873 289.9541 0.0129317052 +88453.56 259.342 267.9777 0.0156237319 +91814.57 237.6362 246.4614 0.0164269291 +95133.59 217.455 226.3844 0.00915117479 +98540.57 198.905 207.9524 0.014961417 +101945.71 182.705 191.7636 0.0149761143 +105556.56 165.6084 174.6262 0.0186299758 +109146.55 151.2082 160.2831 0.0126652675 +112737.48 138.0594 146.9938 0.00459739056 +116321.59 126.0585 134.8644 0.00445466048 +119991.61 114.4267 123.0817 0.00523459645 +123572.58 104.1575 112.6204 0.00659272326 +127063.56 95.0123 103.2886 0.00590118632 +130555.65 86.4647 94.5139 0.00334499626 +134007.55 78.6258 86.4343 0.00484159065 +137365.65 71.5547 79.1146 0.00356987395 +140637.67 65.0098 72.3011 0.00344804292 +143157.52 62.0115 69.1692 0.00358273638 +145236.57 60.3625 67.4489 0.00452868634 diff --git a/calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c4-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c4-checkpoint.dat new file mode 100644 index 0000000..f4976d3 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c4-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38740.57 30468.68 27008.48 1.3224069 +39667.54 30519.02 27048.82 1.73998851 +40744.54 26930.92 24074.78 1.33062391 +41774.55 21629.29 19635.14 2.94904052 +42786.64 17661.05 16240.79 1.89665231 +43800.56 14677.4 13659.47 1.54032789 +44809.44 12232.8 11529.28 1.94421192 +46092.58 10157.66 9685.46 0.450821472 +47022.58 8610.44 8294.78 0.549326861 +47952.54 7334.32 7132.3 0.483735465 +48882.59 6351.03 6225.73 0.317505905 +49837.52 5502.24 5437.29 0.492838716 +50787.48 4818.157 4792.586 0.133769952 +51755.64 4232.793 4235.713 0.138679847 +52686.49 3745.449 3768.218 0.142715101 +53617.54 3331.809 3367.708 0.167175357 +54547.54 2979.561 3023.449 0.1058532 +55477.55 2674.609 2723.365 0.088524008 +56407.51 2410.692 2462.016 0.0677967551 +57337.48 2179.712 2231.086 0.126342392 +58267.52 1979.427 2030.614 0.0994907031 +59196.56 1802.627 1851.369 0.0891566038 +60157.65 1644.243 1691.174 0.123856368 +61136.54 1510.057 1554.705 0.0437549997 +62080.58 1372.288 1414.055 0.0354189215 +63053.55 1260.23 1299.109 0.0353680647 +64026.55 1159.409 1195.879 0.0405080239 +65002.60 1068.607 1102.725 0.0557539236 +65978.68 981.775 1013.458 0.041080409 +66967.52 904.534 934.219 0.0548169682 +67967.49 835.742 863.628 0.0592418771 +68977.66 770.783 797.061 0.0452205705 +69996.50 710.543 735.194 0.0517918913 +71029.42 654.701 678.364 0.0589610041 +72092.51 601.812 624.33 0.0303315018 +73167.64 555.463 577.151 0.036727374 +74304.57 510.164 531.215 0.0341540627 +75494.53 469.4978 489.8489 0.0129649142 +76747.50 431.1224 450.9467 0.0149906971 +78087.50 396.0907 415.4505 0.0148984899 +79560.60 363.7057 382.6049 0.0136333782 +81240.60 334.1763 352.7113 0.011609522 +83097.49 306.1848 324.3295 0.0167488806 +85132.54 281.4672 299.1994 0.0178959213 +88484.52 259.2867 276.6401 0.015123128 +91845.66 237.5974 254.5268 0.0183536372 +95164.60 217.4338 233.8551 0.0153378291 +98571.62 198.872 214.8621 0.00782617403 +101976.55 182.6478 198.2049 0.0104951894 +105587.49 165.5659 180.5083 0.0119983749 +109176.47 151.1647 165.6935 0.0130661777 +112768.49 138.0322 151.9207 0.00656361181 +116352.59 126.0305 139.3784 0.00186118242 +120022.56 114.4062 127.2006 0.00419332803 +123603.58 104.1378 116.3753 0.00334678951 +127094.55 94.9909 106.6967 0.0044588115 +130586.49 86.4569 97.6401 0.00412904347 +134038.56 78.611 89.2776 0.00499039077 +137396.57 71.5439 81.7026 0.00441633332 +140668.63 65.0039 74.6669 0.00415078306 +143187.52 62.0022 71.4216 0.00610933712 +145267.50 60.3493 69.6453 0.00456081133 diff --git a/calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c1-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c1-checkpoint.dat new file mode 100644 index 0000000..7e88647 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c1-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38776.54 30466.96 24433.91 7.41059309 +39703.58 30512.79 24494.52 1.1441853 +40780.59 26926.86 21805.68 1.54504369 +41810.59 21626.69 17777.01 2.20156535 +42822.56 17673.16 14725.41 1.1839299 +43836.49 14674.11 12383.69 2.47800121 +44845.69 12256.03 10439.84 1.88760165 +46128.46 10157.43 8760.3 0.527825729 +47058.66 8609.64 7499.65 0.539675829 +47988.63 7332.06 6445.95 0.349928564 +48918.50 6352.1 5625.51 0.558650159 +49872.55 5503.33 4909.811 0.130195622 +50822.55 4819.022 4328.889 0.127267042 +51791.56 4232.418 3824.921 0.155508521 +52722.57 3745.657 3402.165 0.101658743 +53652.57 3331.776 3040.49 0.137847742 +54582.58 2979.429 2729.299 0.127251326 +55512.58 2674.399 2459.053 0.151453293 +56443.55 2411.051 2222.938 0.13918908 +57372.60 2179.69 2014.153 0.0639069636 +58302.60 1979.604 1833.356 0.154137601 +59232.60 1802.573 1672.454 0.0851140411 +60192.53 1644.521 1527.532 0.0554941438 +61172.58 1510.004 1405.011 0.0385084406 +62116.54 1372.335 1278.464 0.0443215523 +63089.50 1260.17 1175.2 0.0262678511 +64062.59 1159.452 1082.14 0.0399749922 +65038.51 1068.802 998.318 0.0393903541 +66014.56 981.807 917.999 0.0476959118 +67003.56 904.615 846.668 0.0390589298 +68002.65 835.556 783.194 0.0412601503 +69013.57 770.717 723.44 0.0416173041 +70031.62 710.476 667.967 0.0460662566 +71065.70 654.909 616.695 0.031344856 +72128.68 601.641 568.173 0.0569570013 +73203.57 555.473 525.576 0.0375819105 +74340.60 510.135 484.0885 0.0100729837 +75530.61 469.4568 447.0377 0.0102323507 +76782.62 431.0866 411.9648 0.00690478095 +78122.59 396.0886 379.9475 0.00712355248 +79596.51 363.6239 350.3731 0.0123429737 +81276.57 334.1517 323.3329 0.0156412595 +83132.53 306.1544 297.7069 0.0196348924 +85168.50 281.4303 274.966 0.0160068735 +88520.60 259.2293 254.5595 0.00811326075 +91881.58 237.5475 234.5561 0.0118485864 +95200.59 217.3224 215.7774 0.00948071727 +98607.61 198.8316 198.5685 0.0117696644 +102012.59 182.5951 183.4563 0.0141908774 +105622.57 165.5189 167.3428 0.012057197 +109211.59 151.1284 153.7637 0.00432215224 +112804.60 138.001 141.2714 0.00343278313 +116388.63 125.9977 129.8234 0.00405018518 +120058.64 114.395 118.658 0.00597159945 +123639.46 104.1287 108.7248 0.00324899985 +127130.60 94.9648 99.8526 0.00453916292 +130621.53 86.4424 91.4945 0.00668917035 +134074.55 78.6118 83.783 0.00323728281 +137432.53 71.5217 76.7855 0.00448385994 +140704.51 64.9844 70.2762 0.00309127805 +143222.60 62.0062 67.2732 0.00353496818 +145302.65 60.3464 65.6241 0.0041915391 diff --git a/calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c2-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c2-checkpoint.dat new file mode 100644 index 0000000..5bf6d4b --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c2-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38807.49 30459.19 31713.09 1.10629562 +39734.54 30509.78 31762.34 0.847844325 +40811.59 26922.51 28070.43 1.58953138 +41841.59 21624.1 22594.72 0.982527353 +42853.56 17676.91 18486.56 2.10129484 +43867.68 14669.85 15391.27 3.41350406 +44876.52 12240.9 12844.58 2.52098393 +46159.53 10156.5 10671.97 0.465413794 +47089.49 8609.4 9055.93 0.253001976 +48019.50 7332.56 7716.4 0.502195181 +48949.51 6349.98 6684.22 0.319937494 +49903.56 5503.31 5792.37 0.459575891 +50853.56 4818.456 5071.89 0.284059853 +51822.56 4232.307 4451.239 0.152344675 +52753.57 3745.461 3935.563 0.115603201 +53683.57 3332.096 3496.969 0.144799517 +54613.54 2979.186 3122.772 0.118918459 +55543.54 2674.59 2799.647 0.155087395 +56474.55 2411.121 2518.471 0.141353811 +57403.59 2179.692 2272.138 0.169297372 +58333.60 1979.524 2059.56 0.159160297 +59263.56 1802.495 1871.278 0.074602949 +60223.53 1644.342 1703.392 0.124786217 +61203.53 1510.115 1560.233 0.0373911754 +62147.50 1372.237 1414.507 0.0320327957 +63120.59 1260.171 1295.673 0.0464338239 +64093.58 1159.366 1189.313 0.0437732795 +65069.41 1068.619 1093.911 0.0454411708 +66045.72 981.747 1002.876 0.0595012605 +67034.52 904.497 922.319 0.058351521 +68033.61 835.696 850.819 0.0384304567 +69044.50 770.805 783.616 0.0354739341 +70062.58 710.436 721.635 0.0342125708 +71096.55 654.698 664.648 0.0429138672 +72159.52 601.783 610.613 0.0282506637 +73234.55 555.321 563.446 0.0732966575 +74371.60 510.135 518.028 0.0486374341 +75561.61 469.4658 477.1362 0.011171213 +76813.50 431.1165 438.7504 0.0129376969 +78153.62 396.0717 403.802 0.0201131798 +79627.51 363.6567 371.5594 0.019187079 +81307.48 334.1386 342.193 0.0116713324 +83163.57 306.1398 314.3917 0.0171067531 +85199.50 281.4026 289.8617 0.0167595048 +88551.60 259.2135 267.8255 0.0158979558 +91912.58 237.5031 246.3202 0.0101339035 +95231.59 217.3244 226.2644 0.0137798403 +98638.65 198.7898 207.8088 0.011704529 +102043.59 182.611 191.6343 0.014067729 +105653.57 165.4987 174.5471 0.00972260253 +109242.54 151.1115 160.2228 0.0104074973 +112835.77 137.9776 146.9034 0.00337105325 +116419.46 125.9667 134.7699 0.00436451601 +120089.52 114.3714 123.0087 0.00538340041 +123670.58 104.1079 112.5573 0.00389628028 +127161.56 94.9539 103.2201 0.00255127419 +130652.54 86.4188 94.4545 0.00536516542 +134105.76 78.5852 86.3984 0.00335320742 +137463.53 71.5168 79.0737 0.00503199762 +140735.67 64.973 72.2623 0.00266477016 +143253.56 61.9871 69.1411 0.00367545915 +145333.61 60.3404 67.4111 0.004817572 diff --git a/calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c4-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c4-checkpoint.dat new file mode 100644 index 0000000..ac0545f --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c4-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38837.49 30456.46 26994.63 1.8912985 +39765.74 30504.05 27037.92 1.42518771 +40842.59 26920.5 24073.6 1.62609963 +41872.56 21625.8 19624.72 2.2396339 +42884.56 17670.2 16274.59 1.88983862 +43897.52 14666.72 13668.69 1.52489016 +44907.49 12232.84 11525.15 1.15293105 +46190.58 10155.89 9684.4 0.300998339 +47120.58 8609.94 8293.35 0.645639218 +48050.59 7332.42 7130.39 0.501487786 +48980.59 6350.41 6225.91 0.329378202 +49934.55 5502.5 5436.24 0.335916656 +50884.56 4818.563 4793.049 0.155791206 +51853.52 4232.635 4235.887 0.0992678196 +52784.56 3745.233 3768.374 0.130139925 +53714.61 3332.489 3367.897 0.159681245 +54644.58 2979.252 3023.269 0.106239823 +55574.55 2674.713 2723.385 0.148998322 +56505.67 2410.995 2461.86 0.128903064 +57434.55 2179.495 2231.337 0.125698449 +58364.56 1979.537 2030.604 0.0694435022 +59294.56 1802.466 1851.347 0.150459629 +60254.53 1644.357 1691.222 0.0972399095 +61234.50 1510.065 1554.561 0.0416040863 +62177.50 1372.329 1414.034 0.0363097783 +63151.58 1260.215 1299.221 0.0372411063 +64124.55 1159.413 1195.847 0.0370148619 +65100.59 1068.638 1102.717 0.0379486495 +66076.56 981.809 1013.511 0.056079408 +67065.65 904.564 934.159 0.0399111513 +68064.57 835.734 863.456 0.0280784615 +69075.66 770.816 797.045 0.0320390387 +70093.58 710.471 735.321 0.0385084406 +71127.63 654.607 678.449 0.054597619 +72190.59 601.834 624.364 0.0435935775 +73265.68 555.385 577.012 0.0424216926 +74402.60 510.049 531.074 0.0353043907 +75592.58 469.4814 489.8403 0.0120324977 +76844.62 431.122 450.8992 0.0107589962 +78184.62 396.0855 415.4181 0.013247981 +79657.51 363.6764 382.6102 0.0142413483 +81337.56 334.1279 352.6031 0.0208664563 +83194.57 306.1287 324.261 0.0120299626 +85230.58 281.364 299.0558 0.0138251944 +88582.56 259.1575 276.4752 0.0158901227 +91943.62 237.4793 254.3867 0.0167624879 +95262.55 217.2832 233.7079 0.0142481227 +98669.45 198.7604 214.731 0.0163438062 +102074.55 182.5845 198.0695 0.0118019066 +105684.57 165.4611 180.3877 0.0118659597 +109273.55 151.0842 165.5868 0.0207175288 +112866.53 137.9518 151.8271 0.00485685083 +116450.59 125.9506 139.2972 0.0029488981 +120120.56 114.3504 127.13 0.00337342556 +123701.58 104.0767 116.3053 0.0047498421 +127192.52 94.941 106.6478 0.00354626564 +130683.58 86.3992 97.5893 0.0032095171 +134136.52 78.577 89.2282 0.00384915575 +137494.54 71.5157 81.6632 0.00284885942 +140766.51 64.9604 74.6302 0.00479749935 +143284.56 61.9799 71.3885 0.00437092668 +145364.57 60.3334 69.613 0.00481040539 diff --git a/calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c1-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c1-checkpoint.dat new file mode 100644 index 0000000..5aadb0d --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c1-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38872.54 30477.45 24465.6 1.32181693 +39801.58 30495.09 24490.1 1.01380471 +40878.59 26924.4 21805.91 1.43641568 +41908.63 21640.13 17765.5 2.20997738 +42920.60 17681.39 14710.34 0.630111101 +43933.53 14661.71 12372.66 2.4856468 +44942.64 12234.27 10440.06 2.55081164 +46226.66 10155.92 8758.76 0.488917171 +47156.50 8608.4 7499.77 0.288461436 +48086.50 7332.14 6445.68 0.485345238 +49016.59 6349.81 5625.08 0.547868597 +49970.59 5503.53 4909.842 0.116084452 +50920.60 4818.525 4328.686 0.128710528 +51889.45 4232.509 3824.935 0.156283396 +52820.57 3745.391 3402.265 0.0988964105 +53750.61 3332.395 3040.282 0.0683637331 +54680.58 2979.04 2728.953 0.131545049 +55610.58 2674.543 2458.614 0.0855827085 +56541.54 2410.364 2222.909 0.127125529 +57470.60 2178.676 2014.566 0.0679882343 +58400.60 1979.537 1833.648 0.180802655 +59330.57 1802.565 1672.681 0.107865194 +60290.57 1644.392 1527.566 0.0596690875 +61270.57 1510.048 1405.024 0.0474172964 +62212.61 1372.259 1278.375 0.0338008876 +63187.50 1260.099 1175.263 0.0506171908 +64160.59 1159.355 1082.136 0.0189314553 +65136.52 1068.74 998.423 0.0487042093 +66112.56 981.709 918.041 0.0612935559 +67101.56 904.664 846.812 0.0452061943 +68100.62 835.692 783.343 0.0495792295 +69111.54 770.808 723.545 0.0395284708 +70129.50 710.654 668.001 0.0432539016 +71163.51 654.651 616.781 0.0493852205 +72226.55 601.66 568.243 0.0397756207 +73301.56 555.247 525.434 0.0358664188 +74438.52 510.147 484.0546 0.0166986227 +75628.49 469.4566 447.0047 0.0145162323 +76880.62 431.0485 411.9763 0.01624503 +78220.59 396.0633 379.9235 0.0125293655 +79692.55 363.668 350.3184 0.0130385582 +81372.60 334.0681 323.271 0.0131954538 +83230.57 306.0728 297.6122 0.0199533456 +85266.68 281.3226 274.897 0.0128848749 +88618.52 259.1132 254.4009 0.00976775307 +91979.45 237.4377 234.4259 0.0160227651 +95298.63 217.2117 215.6847 0.00880346523 +98704.57 198.7453 198.4637 0.0197063695 +102110.59 182.5611 183.311 0.0119054609 +105720.60 165.4276 167.2443 0.0153948368 +109309.43 151.0447 153.6796 0.00485427647 +112902.61 137.9126 141.1953 0.00367164813 +116486.63 125.9266 129.739 0.00358887169 +120156.57 114.3231 118.59 0.00347850543 +123737.50 104.0635 108.6674 0.00329302293 +127228.48 94.9283 99.7898 0.00514353964 +130719.50 86.3918 91.4575 0.00297405447 +134172.59 78.5597 83.7557 0.00578973229 +137530.58 71.5027 76.7666 0.00349055869 +140801.59 64.9695 70.2467 0.00357784852 +143320.60 61.9642 67.247 0.00407921561 +145400.61 60.3193 65.6077 0.00208830074 diff --git a/calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c2-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c2-checkpoint.dat new file mode 100644 index 0000000..5b69b43 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c2-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38903.62 30492.26 31741.41 1.63434696 +39832.58 30494.33 31748.48 1.25162295 +40909.50 26924.9 28068.22 1.67486119 +41939.51 21645.29 22598.64 1.35817525 +42951.52 17686.06 18500.68 1.83121817 +43964.52 14668.63 15376.66 1.11276233 +44973.61 12239.48 12852.59 2.2444799 +46257.61 10155.11 10670.91 0.308366665 +47187.62 8608.53 9055.14 0.38709172 +48117.62 7333.05 7717.35 0.569078202 +49047.63 6349.54 6682.98 0.463422054 +50001.55 5502.94 5791.15 0.429010489 +50951.56 4818.15 5072.2 0.235796522 +51920.56 4232.874 4451.23 0.143331783 +52851.65 3745.554 3935.596 0.117899958 +53781.57 3332.319 3497.574 0.120782449 +54711.57 2979.22 3122.954 0.1255245 +55641.58 2675.011 2799.371 0.144446876 +56572.55 2410.775 2518.598 0.206880642 +57501.60 2178.856 2272.001 0.153593294 +58431.60 1979.434 2059.618 0.145181266 +59361.56 1802.44 1871.409 0.17314416 +60321.54 1644.419 1703.497 0.143297244 +61301.54 1510.015 1560.458 0.0589202851 +62243.58 1372.209 1414.269 0.0489581454 +63217.50 1260.219 1295.789 0.0506645833 +64191.59 1159.378 1189.339 0.0528857259 +65167.63 1068.776 1093.957 0.0470754713 +66143.52 981.691 1002.829 0.0581283064 +67132.56 904.584 922.24 0.0594138031 +68131.61 835.616 850.866 0.0404771541 +69142.58 770.856 783.616 0.0462428373 +70160.58 710.514 721.639 0.0601739146 +71194.51 654.751 664.6 0.0429185275 +72257.52 601.792 610.658 0.0375179957 +73332.56 555.216 563.567 0.0431752244 +74469.53 510.172 517.913 0.0364431063 +75659.49 469.4625 477.1045 0.0168263187 +76911.58 431.0921 438.7035 0.019735881 +78251.59 396.0939 403.7677 0.016451778 +79723.55 363.6333 371.5357 0.0130284688 +81403.61 334.0724 342.1144 0.0125133529 +83261.58 306.0723 314.3258 0.0196243726 +85297.54 281.2729 289.756 0.0131316412 +88649.52 259.0544 267.6552 0.0199127095 +92010.58 237.3741 246.206 0.0150983443 +95329.51 217.1834 226.122 0.0193886565 +98735.78 198.6767 207.7005 0.00931584671 +102141.59 182.4847 191.5394 0.0180694217 +105751.57 165.4123 174.4647 0.0104594933 +109340.59 151.0221 160.1264 0.0100321483 +112933.60 137.8985 146.8193 0.0024333105 +116517.50 125.9074 134.7159 0.0058042226 +120187.52 114.3102 122.9462 0.00671833313 +123767.50 104.0359 112.4963 0.004238042 +127259.52 94.8967 103.165 0.0045033321 +130750.57 86.3729 94.4158 0.00450732737 +134203.56 78.5408 86.3492 0.00476822818 +137561.53 71.4814 79.0376 0.00402541923 +140832.60 64.9578 72.2311 0.00431381502 +143351.56 61.9449 69.0981 0.00392542991 +145431.49 60.3043 67.3873 0.00186037631 diff --git a/calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c4-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c4-checkpoint.dat new file mode 100644 index 0000000..59e6cd3 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c4-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38934.53 30507.1 27035.86 0.666663333 +39863.54 30494.4 27032.51 0.970097933 +40940.59 26928.86 24073.52 1.77441821 +41970.59 21638.21 19636.27 1.85094841 +42982.55 17681.79 16285.99 3.23006037 +43995.73 14668.98 13667.73 1.11229942 +45004.56 12244.58 11527.3 0.644049688 +46288.54 10155.44 9684.46 0.238830484 +47218.62 8609.02 8291.81 0.412662089 +48148.51 7332.93 7132.44 0.554472723 +49077.63 6350.02 6224.92 0.210142809 +50032.55 5502.52 5436.69 0.420107129 +50982.52 4818.323 4792.623 0.137113457 +51951.56 4232.932 4235.608 0.114366079 +52882.57 3745.201 3768.2 0.193463175 +53812.57 3332.425 3368.212 0.118387499 +54742.58 2979.443 3022.922 0.0872444841 +55672.59 2674.972 2723.484 0.133380658 +56603.51 2410.869 2462.172 0.130811314 +57532.56 2179.089 2231.178 0.122831592 +58462.60 1979.585 2030.566 0.0949968421 +59392.61 1802.581 1852.072 0.118412837 +60352.57 1644.296 1691.49 0.125713961 +61332.49 1510.009 1554.519 0.0583000858 +62274.58 1372.28 1413.955 0.0416713331 +63247.51 1260.324 1299.193 0.0367980978 +64222.59 1159.406 1195.836 0.0372880678 +65198.64 1068.754 1102.816 0.0397290825 +66174.57 981.658 1013.393 0.027204779 +67163.57 904.53 934.247 0.0315927207 +68162.57 835.639 863.499 0.0559365712 +69173.58 770.926 797.07 0.0404722127 +70191.59 710.473 735.312 0.0481414582 +71225.71 654.81 678.49 0.0442718872 +72287.59 601.814 624.335 0.055285622 +73363.56 555.196 577.035 0.0260096136 +74500.60 510.114 531.111 0.0402106951 +75690.62 469.4529 489.8329 0.00788600025 +76942.62 431.1011 450.9182 0.0132565456 +78282.55 396.0887 415.4261 0.0159470687 +79754.56 363.6247 382.5998 0.0152864646 +81434.60 334.0349 352.5461 0.0107586709 +83292.55 306.0665 324.16 0.0149445642 +85327.51 281.2312 298.9942 0.0147775505 +88680.60 259.01 276.3715 0.0131607371 +92041.62 237.3601 254.2111 0.0112396174 +95360.59 217.1492 233.586 0.0133259146 +98766.53 198.6266 214.6168 0.018019323 +102172.63 182.4674 197.9668 0.011365562 +105782.61 165.3981 180.3015 0.00781952684 +109371.58 150.994 165.4945 0.0176975987 +112964.61 137.8773 151.7475 0.00506211418 +116547.50 125.8857 139.2356 0.00501437932 +120217.56 114.2927 127.0615 0.00247891105 +123797.50 104.0221 116.2464 0.00386574702 +127290.60 94.8854 106.5901 0.00332400361 +130781.62 86.3553 97.5437 0.00447448321 +134234.59 78.5401 89.1884 0.00257371327 +137592.53 71.4794 81.6282 0.00347793042 +140863.60 64.949 74.5971 0.00389987179 +143382.60 61.9345 71.3497 0.00376311042 +145462.61 60.3052 69.5877 0.00547366422 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-06_p0_c1-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-06_p0_c1-checkpoint.dat new file mode 100644 index 0000000..ab91512 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-06_p0_c1-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +41996.52 18736.18 25480.67 26.8026232 +49561.60 13556.51 18154.65 1.55719299 +52019.41 11257.92 14958.37 1.64079554 +54442.59 9484.38 12504.09 1.7455343 +57045.72 8066.23 10545.95 2.26888739 +59618.41 6860.92 8898.62 3.63765859 +62164.62 5908.44 7605.77 0.861748223 +64611.59 5176.63 6611.22 1.55549349 +76093.58 4252.251 5377.106 0.320000625 +78298.43 3866.932 4858.837 0.516906278 +80508.43 3503.256 4372.911 0.197638306 +82738.41 3177.796 3939.663 0.688334294 +84948.42 2887.321 3555.976 0.523994656 +87182.59 2628.482 3215.129 0.181148834 +89422.60 2399.263 2914.656 0.0772683635 +91640.57 2194.897 2648.008 0.253999213 +93862.58 2013.557 2412.834 0.13939297 +96078.43 1849.628 2201.007 0.101951459 +98321.61 1698.803 2007.726 0.123249341 +100585.73 1563.438 1835.643 0.168932235 +102842.55 1442.144 1681.816 0.146247735 +105088.45 1330.501 1540.124 0.0268774999 +107336.49 1227.822 1411.616 0.0296378137 +109598.42 1134.152 1295.394 0.0429930227 +111860.59 1048.552 1189.787 0.0580870037 +114133.60 970.845 1094.734 0.0349342239 +116428.46 895.962 1003.979 0.0376417322 +118735.75 829.023 923.428 0.0398697881 +121090.60 765.61 847.837 0.0202509259 +123452.57 709.027 781.078 0.0153492671 +125879.42 653.948 716.58 0.0286006993 +128361.59 603.307 657.856 0.0255812431 +130909.45 556.86 604.436 0.0218265893 +133550.57 514.441 556.19 0.0253771551 +136286.47 473.4636 510.01 0.0404722127 +139110.61 435.6499 467.4362 0.012415152 +142198.42 401.2786 429.1596 0.00534265851 +145390.60 369.1071 393.5674 0.00766054828 +149879.54 339.341 360.8182 0.0104266965 +153748.44 311.6814 330.565 0.00887580982 +157738.42 286.3559 302.9877 0.00452117241 +161819.44 263.1666 277.8586 0.0134923682 +166053.50 241.5362 254.5173 0.00953734764 +170408.44 221.4569 232.9131 0.00376948272 +174820.58 202.9574 213.0911 0.00798179178 +179358.48 186.0784 195.0241 0.00987466455 +183985.67 169.991 177.8883 0.00838933847 +188683.56 155.04 162.0794 0.0119934982 +193314.63 141.491 147.6501 0.00449544214 +198003.49 129.0281 134.4957 0.00335276006 +202629.43 117.8197 122.69 0.00375765885 +207328.45 107.067 111.4004 0.00313113398 +211950.60 97.5694 101.4599 0.00339838197 +216571.58 88.7547 92.2667 0.00451009978 +221108.48 81.057 84.2508 0.0033430525 +225640.58 73.7603 76.679 0.00343511281 +230235.76 65.8953 68.5408 0.00144775689 +233926.42 62.8157 65.3648 0.0017538529 +237015.63 61.1814 63.6768 0.00247709507 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-checkpoint.dat new file mode 100644 index 0000000..553bd7a --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47429.43 15258.68 1786.369 0.100194311 +50520.61 13504.26 18089.98 2.6090918 +52978.42 11198.9 14880.05 1.26919266 +55398.43 9443.97 12448.96 1.94237998 +58002.60 8045.22 10516.72 2.37127814 +60571.58 6848.3 8880.77 0.67335726 +63118.43 5901.73 7592.15 2.80614504 +65569.45 5171.9 6604.7 0.546626015 +77043.58 4275.113 5408.357 0.505236677 +79253.59 3873.155 4867.514 0.230318041 +81463.61 3504.802 4375.344 0.14703877 +83693.53 3176.563 3938.62 0.13303383 +85898.43 2885.492 3553.332 0.67339112 +88138.44 2626.377 3211.951 0.4219276 +90381.61 2396.888 2911.338 0.236278649 +92593.58 2192.556 2644.987 0.47391993 +94818.43 2011.649 2410.311 0.150648266 +97033.55 1847.476 2198.38 0.0468828327 +99279.41 1696.829 2005.268 0.0905295532 +101551.59 1561.777 1833.652 0.109597445 +103802.60 1440.589 1679.939 0.0798805358 +106041.60 1329.173 1538.574 0.025385035 +108293.62 1226.502 1410.203 0.0442052033 +110553.62 1132.884 1293.858 0.0390845238 +112813.64 1047.256 1188.323 0.027204779 +115093.49 969.636 1093.241 0.029847948 +117383.62 894.871 1002.571 0.0259788375 +119693.63 827.933 922.187 0.0287419554 +122043.65 764.589 846.636 0.019089264 +124409.42 708.052 779.958 0.0288374756 +126839.43 652.997 715.514 0.0259306768 +129320.59 602.384 656.879 0.0238516247 +131868.45 556.039 603.616 0.0282559728 +134510.58 513.718 555.319 0.0245947149 +137243.64 472.7162 509.183 0.034235946 +140206.57 434.8821 466.6225 0.00563959218 +143255.51 400.6105 428.4284 0.00730780405 +147490.57 367.9592 392.394 0.0727305988 +150833.58 338.4427 359.8347 0.00988539326 +154703.48 310.6855 329.4805 0.00616319722 +158693.51 285.3618 301.929 0.0064591021 +162776.60 262.2106 276.8027 0.00590093213 +167012.66 240.6378 253.5383 0.00542411283 +171363.48 220.6038 232.0054 0.00496225755 +175780.58 202.1383 212.2074 0.00462644572 +180317.44 185.3248 194.231 0.00765506368 +184943.63 169.3092 177.1596 0.00724458418 +189642.61 154.4076 161.4105 0.00719061889 +194274.51 140.8664 147.0005 0.00228582589 +198960.58 128.4866 133.9218 0.00362436201 +203588.48 117.3126 122.1592 0.00240333102 +208286.49 106.6189 110.9337 0.00330771825 +212907.44 97.1621 101.0341 0.00309983871 +217531.58 88.3983 91.8912 0.00253298243 +222063.57 80.7367 83.9203 0.00286373881 +226598.43 73.483 76.3943 0.00299349294 +231193.49 65.644 68.2777 0.00195473783 +234883.66 62.5857 65.1319 0.00212814473 +237974.52 60.9686 63.4605 0.0026124701 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-original-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-original-checkpoint.dat new file mode 100644 index 0000000..b9971aa --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-original-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47429.43 1525.868 1786.369 0.100194311 +50520.61 13504.26 18089.98 2.6090918 +52978.42 11198.9 14880.05 1.26919266 +55398.43 9443.97 12448.96 1.94237998 +58002.60 8045.22 10516.72 2.37127814 +60571.58 6848.3 8880.77 0.67335726 +63118.43 5901.73 7592.15 2.80614504 +65569.45 5171.9 6604.7 0.546626015 +77043.58 4275.113 5408.357 0.505236677 +79253.59 3873.155 4867.514 0.230318041 +81463.61 3504.802 4375.344 0.14703877 +83693.53 3176.563 3938.62 0.13303383 +85898.43 2885.492 3553.332 0.67339112 +88138.44 2626.377 3211.951 0.4219276 +90381.61 2396.888 2911.338 0.236278649 +92593.58 2192.556 2644.987 0.47391993 +94818.43 2011.649 2410.311 0.150648266 +97033.55 1847.476 2198.38 0.0468828327 +99279.41 1696.829 2005.268 0.0905295532 +101551.59 1561.777 1833.652 0.109597445 +103802.60 1440.589 1679.939 0.0798805358 +106041.60 1329.173 1538.574 0.025385035 +108293.62 1226.502 1410.203 0.0442052033 +110553.62 1132.884 1293.858 0.0390845238 +112813.64 1047.256 1188.323 0.027204779 +115093.49 969.636 1093.241 0.029847948 +117383.62 894.871 1002.571 0.0259788375 +119693.63 827.933 922.187 0.0287419554 +122043.65 764.589 846.636 0.019089264 +124409.42 708.052 779.958 0.0288374756 +126839.43 652.997 715.514 0.0259306768 +129320.59 602.384 656.879 0.0238516247 +131868.45 556.039 603.616 0.0282559728 +134510.58 513.718 555.319 0.0245947149 +137243.64 472.7162 509.183 0.034235946 +140206.57 434.8821 466.6225 0.00563959218 +143255.51 400.6105 428.4284 0.00730780405 +147490.57 367.9592 392.394 0.0727305988 +150833.58 338.4427 359.8347 0.00988539326 +154703.48 310.6855 329.4805 0.00616319722 +158693.51 285.3618 301.929 0.0064591021 +162776.60 262.2106 276.8027 0.00590093213 +167012.66 240.6378 253.5383 0.00542411283 +171363.48 220.6038 232.0054 0.00496225755 +175780.58 202.1383 212.2074 0.00462644572 +180317.44 185.3248 194.231 0.00765506368 +184943.63 169.3092 177.1596 0.00724458418 +189642.61 154.4076 161.4105 0.00719061889 +194274.51 140.8664 147.0005 0.00228582589 +198960.58 128.4866 133.9218 0.00362436201 +203588.48 117.3126 122.1592 0.00240333102 +208286.49 106.6189 110.9337 0.00330771825 +212907.44 97.1621 101.0341 0.00309983871 +217531.58 88.3983 91.8912 0.00253298243 +222063.57 80.7367 83.9203 0.00286373881 +226598.43 73.483 76.3943 0.00299349294 +231193.49 65.644 68.2777 0.00195473783 +234883.66 62.5857 65.1319 0.00212814473 +237974.52 60.9686 63.4605 0.0026124701 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-checkpoint.dat new file mode 100644 index 0000000..9e1bf32 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47520.59 15248.38 1469.515 0.0476707457 +50611.56 13500.53 13037.23 1.22629931 +53068.41 11194.76 10860.3 1.02381639 +55488.44 9439.58 9187.28 0.411533717 +58093.56 8043.56 7850.64 0.558068096 +60662.58 6847.34 6699.41 0.419392418 +63208.43 5900.75 5783.01 0.388702971 +65660.60 5171.57 5073.45 0.271753565 +77133.59 4277.59 4208.436 0.115639094 +79343.55 3873.791 3808.641 0.0572791411 +81553.57 3504.906 3443.349 0.0810117275 +83783.58 3176.483 3117.285 0.0702602306 +85988.43 2885.412 2827.988 0.0741458023 +88228.43 2626.177 2569.807 0.0653306972 +90472.61 2396.806 2341.269 0.0780954544 +92683.58 2192.382 2137.687 0.0705839925 +94908.43 2011.603 1957.215 0.0631070519 +97123.60 1847.469 1793.41 0.0694694177 +99370.61 1696.831 1643.417 0.0734853727 +101642.58 1561.737 1508.926 0.024503061 +103893.64 1440.609 1388.543 0.0136418474 +106132.56 1329.073 1277.636 0.0331722776 +108384.65 1226.499 1175.956 0.0305352256 +110644.63 1132.814 1083.305 0.024989998 +112904.68 1047.257 998.851 0.0202212759 +115183.53 969.561 922.526 0.0234606053 +117474.65 894.75 849.395 0.0280446073 +119784.67 827.879 784.114 0.0321309819 +122134.49 764.516 722.667 0.0192898937 +124500.58 707.992 668.149 0.0262087772 +126930.59 652.951 615.184 0.0260844781 +129411.60 602.329 566.787 0.0259634358 +131958.42 555.99 522.637 0.0279660508 +134601.58 513.69 482.3778 0.0111200719 +137334.64 472.6813 443.8211 0.00497483668 +140311.65 434.8452 408.1987 0.0060762653 +143346.43 400.5505 375.9903 0.00513039959 +147576.45 367.9455 345.5963 0.0524017271 +150923.59 338.3854 317.9631 0.00882094099 +154794.64 310.6317 292.1072 0.00882133777 +158784.55 285.2874 268.5482 0.00722744768 +162867.45 262.135 247.0052 0.00810283901 +167103.51 240.5715 226.9669 0.00704904249 +171453.56 220.5513 208.3492 0.00591066832 +175871.59 202.0885 191.1903 0.00655293827 +180408.53 185.2795 175.5492 0.00616895453 +185034.63 169.2513 160.6382 0.00440408901 +189733.69 154.3689 146.7793 0.00318449368 +194365.83 140.8305 134.1576 0.00159499216 +199051.58 128.448 122.6229 0.0029814426 +203679.44 117.2808 112.1975 0.00210831686 +208377.42 106.5909 102.2186 0.00231170932 +212998.44 97.1349 93.3959 0.00272194783 +217622.66 88.3763 85.2134 0.00281851024 +222154.64 80.7138 78.0529 0.00197205477 +226688.43 73.4658 71.2783 0.0013118689 +231283.48 65.6267 63.9555 0.00272488532 +234974.51 62.5733 61.1145 0.0021691012 +238065.72 60.957 59.5923 0.00200024998 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-original-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-original-checkpoint.dat new file mode 100644 index 0000000..b2627fb --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-original-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47520.59 1524.838 1469.515 0.0476707457 +50611.56 13500.53 13037.23 1.22629931 +53068.41 11194.76 10860.3 1.02381639 +55488.44 9439.58 9187.28 0.411533717 +58093.56 8043.56 7850.64 0.558068096 +60662.58 6847.34 6699.41 0.419392418 +63208.43 5900.75 5783.01 0.388702971 +65660.60 5171.57 5073.45 0.271753565 +77133.59 4277.59 4208.436 0.115639094 +79343.55 3873.791 3808.641 0.0572791411 +81553.57 3504.906 3443.349 0.0810117275 +83783.58 3176.483 3117.285 0.0702602306 +85988.43 2885.412 2827.988 0.0741458023 +88228.43 2626.177 2569.807 0.0653306972 +90472.61 2396.806 2341.269 0.0780954544 +92683.58 2192.382 2137.687 0.0705839925 +94908.43 2011.603 1957.215 0.0631070519 +97123.60 1847.469 1793.41 0.0694694177 +99370.61 1696.831 1643.417 0.0734853727 +101642.58 1561.737 1508.926 0.024503061 +103893.64 1440.609 1388.543 0.0136418474 +106132.56 1329.073 1277.636 0.0331722776 +108384.65 1226.499 1175.956 0.0305352256 +110644.63 1132.814 1083.305 0.024989998 +112904.68 1047.257 998.851 0.0202212759 +115183.53 969.561 922.526 0.0234606053 +117474.65 894.75 849.395 0.0280446073 +119784.67 827.879 784.114 0.0321309819 +122134.49 764.516 722.667 0.0192898937 +124500.58 707.992 668.149 0.0262087772 +126930.59 652.951 615.184 0.0260844781 +129411.60 602.329 566.787 0.0259634358 +131958.42 555.99 522.637 0.0279660508 +134601.58 513.69 482.3778 0.0111200719 +137334.64 472.6813 443.8211 0.00497483668 +140311.65 434.8452 408.1987 0.0060762653 +143346.43 400.5505 375.9903 0.00513039959 +147576.45 367.9455 345.5963 0.0524017271 +150923.59 338.3854 317.9631 0.00882094099 +154794.64 310.6317 292.1072 0.00882133777 +158784.55 285.2874 268.5482 0.00722744768 +162867.45 262.135 247.0052 0.00810283901 +167103.51 240.5715 226.9669 0.00704904249 +171453.56 220.5513 208.3492 0.00591066832 +175871.59 202.0885 191.1903 0.00655293827 +180408.53 185.2795 175.5492 0.00616895453 +185034.63 169.2513 160.6382 0.00440408901 +189733.69 154.3689 146.7793 0.00318449368 +194365.83 140.8305 134.1576 0.00159499216 +199051.58 128.448 122.6229 0.0029814426 +203679.44 117.2808 112.1975 0.00210831686 +208377.42 106.5909 102.2186 0.00231170932 +212998.44 97.1349 93.3959 0.00272194783 +217622.66 88.3763 85.2134 0.00281851024 +222154.64 80.7138 78.0529 0.00197205477 +226688.43 73.4658 71.2783 0.0013118689 +231283.48 65.6267 63.9555 0.00272488532 +234974.51 62.5733 61.1145 0.0021691012 +238065.72 60.957 59.5923 0.00200024998 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-checkpoint.dat new file mode 100644 index 0000000..52d4a38 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47611.60 15238.75 1213.462 0.0507700699 +50702.61 13493.74 9407.98 0.924099562 +53158.42 11191.5 7934.76 0.552304264 +55578.43 9436.2 6792.67 0.367437069 +58183.61 8040.49 5865 0.442944692 +60753.58 6846.16 5058.73 0.488477226 +63298.43 5899.81 4407.263 0.196122666 +65751.57 5171.46 3899.808 0.114217337 +77223.58 4279.466 3269.974 0.131462542 +79433.59 3874.397 2977.889 0.0870339014 +81644.65 3505.164 2708.881 0.0765826351 +83873.54 3176.367 2467.23 0.070639932 +86078.42 2885.264 2251.291 0.106409116 +88318.44 2625.906 2057.176 0.0588081627 +90563.61 2396.641 1884.384 0.0654400489 +92773.54 2192.169 1729.222 0.0554400577 +94998.43 2011.637 1591.233 0.05184689 +97214.64 1847.401 1464.251 0.0377743299 +99461.57 1697.03 1347.957 0.0342943144 +101733.62 1561.698 1243.432 0.0194319325 +103984.67 1440.532 1148.898 0.0284534708 +106223.60 1329.027 1061.567 0.0231969826 +108475.71 1226.459 980.99 0.0202484567 +110735.79 1132.795 907.32 0.0235796522 +112995.79 1047.213 839.785 0.0304384625 +115274.65 969.485 778.425 0.0271016605 +117565.74 894.66 719.403 0.0256924113 +119875.75 827.798 666.59 0.0121655251 +122225.64 764.436 616.528 0.020774985 +124591.58 707.967 571.993 0.0125737822 +127021.58 652.88 528.525 0.0191963538 +129502.60 602.344 488.51 0.0146615142 +132048.45 556.034 451.9911 0.00995334115 +134692.57 513.674 418.6712 0.00823626129 +137425.68 472.6361 386.4945 0.00509165985 +140407.05 434.8206 356.7131 0.00849523396 +143437.43 400.4965 329.6634 0.00709957745 +147662.65 367.9015 304.0167 0.0462489027 +151014.55 338.3397 280.6148 0.00965069946 +154885.76 310.5567 258.6339 0.0086907422 +158875.75 285.2308 238.5515 0.00982776679 +162958.40 262.0745 220.1269 0.00449099098 +167193.55 240.5153 202.9289 0.00935355547 +171543.56 220.5 186.8991 0.00863649234 +175962.63 202.0258 172.047 0.00734982993 +180499.49 185.252 158.4607 0.00198015151 +185125.67 169.2167 145.4815 0.00160156174 +189824.57 154.3288 133.4245 0.00286443712 +194456.55 140.7894 122.3611 0.00302142351 +199142.50 128.4135 112.2113 0.00284270997 +203769.44 117.2494 103.0191 0.00324175878 +208468.45 106.561 94.1868 0.00296580512 +213088.44 97.1129 86.3561 0.0022246348 +217713.66 88.3529 79.0652 0.00209666402 +222245.72 80.6983 72.6738 0.00258766304 +226778.42 73.4493 66.6047 0.00214032708 +231373.49 65.6124 60.0282 0.00117303026 +235065.63 62.5656 57.4707 0.00215429803 +238156.44 60.9446 56.1093 0.00220476756 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-original-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-original-checkpoint.dat new file mode 100644 index 0000000..59df07e --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-original-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47611.60 1523.875 1213.462 0.0507700699 +50702.61 13493.74 9407.98 0.924099562 +53158.42 11191.5 7934.76 0.552304264 +55578.43 9436.2 6792.67 0.367437069 +58183.61 8040.49 5865 0.442944692 +60753.58 6846.16 5058.73 0.488477226 +63298.43 5899.81 4407.263 0.196122666 +65751.57 5171.46 3899.808 0.114217337 +77223.58 4279.466 3269.974 0.131462542 +79433.59 3874.397 2977.889 0.0870339014 +81644.65 3505.164 2708.881 0.0765826351 +83873.54 3176.367 2467.23 0.070639932 +86078.42 2885.264 2251.291 0.106409116 +88318.44 2625.906 2057.176 0.0588081627 +90563.61 2396.641 1884.384 0.0654400489 +92773.54 2192.169 1729.222 0.0554400577 +94998.43 2011.637 1591.233 0.05184689 +97214.64 1847.401 1464.251 0.0377743299 +99461.57 1697.03 1347.957 0.0342943144 +101733.62 1561.698 1243.432 0.0194319325 +103984.67 1440.532 1148.898 0.0284534708 +106223.60 1329.027 1061.567 0.0231969826 +108475.71 1226.459 980.99 0.0202484567 +110735.79 1132.795 907.32 0.0235796522 +112995.79 1047.213 839.785 0.0304384625 +115274.65 969.485 778.425 0.0271016605 +117565.74 894.66 719.403 0.0256924113 +119875.75 827.798 666.59 0.0121655251 +122225.64 764.436 616.528 0.020774985 +124591.58 707.967 571.993 0.0125737822 +127021.58 652.88 528.525 0.0191963538 +129502.60 602.344 488.51 0.0146615142 +132048.45 556.034 451.9911 0.00995334115 +134692.57 513.674 418.6712 0.00823626129 +137425.68 472.6361 386.4945 0.00509165985 +140407.05 434.8206 356.7131 0.00849523396 +143437.43 400.4965 329.6634 0.00709957745 +147662.65 367.9015 304.0167 0.0462489027 +151014.55 338.3397 280.6148 0.00965069946 +154885.76 310.5567 258.6339 0.0086907422 +158875.75 285.2308 238.5515 0.00982776679 +162958.40 262.0745 220.1269 0.00449099098 +167193.55 240.5153 202.9289 0.00935355547 +171543.56 220.5 186.8991 0.00863649234 +175962.63 202.0258 172.047 0.00734982993 +180499.49 185.252 158.4607 0.00198015151 +185125.67 169.2167 145.4815 0.00160156174 +189824.57 154.3288 133.4245 0.00286443712 +194456.55 140.7894 122.3611 0.00302142351 +199142.50 128.4135 112.2113 0.00284270997 +203769.44 117.2494 103.0191 0.00324175878 +208468.45 106.561 94.1868 0.00296580512 +213088.44 97.1129 86.3561 0.0022246348 +217713.66 88.3529 79.0652 0.00209666402 +222245.72 80.6983 72.6738 0.00258766304 +226778.42 73.4493 66.6047 0.00214032708 +231373.49 65.6124 60.0282 0.00117303026 +235065.63 62.5656 57.4707 0.00215429803 +238156.44 60.9446 56.1093 0.00220476756 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c5-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c5-checkpoint.dat new file mode 100644 index 0000000..8489143 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c5-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47702.59 15229.03 1851.737 0.0452559388 +50793.56 13486.27 16394.25 1.87201763 +53248.42 11188.02 13568.83 0.85510818 +55668.43 9433.64 11419.3 0.508527285 +58273.61 8038.54 9718.17 0.459575891 +60844.58 6845.5 8267.94 0.421710801 +63388.43 5899.08 7122.2 0.461735855 +65842.60 5170.81 6241.27 0.201022387 +77313.54 4281.823 5168.841 0.273146298 +79523.59 3875.231 4678.52 0.0749266308 +81735.76 3505.443 4233.725 0.100451481 +83963.57 3176.481 3837.769 0.102950959 +86168.43 2885.232 3487.449 0.102298094 +88408.44 2625.736 3175.658 0.0774054262 +90654.65 2396.415 2900.313 0.0542411283 +92863.57 2192.014 2654.608 0.0557458519 +95088.43 2011.509 2437.733 0.0599007512 +97305.76 1847.23 2240.68 0.0643428318 +99552.57 1696.896 2060.146 0.0603191512 +101824.66 1561.562 1898.985 0.0906449116 +104075.80 1440.382 1753.856 0.0909857132 +106314.65 1328.946 1620.298 0.0627502988 +108566.41 1226.425 1497.124 0.0209857094 +110826.46 1132.743 1385.441 0.0213752193 +113086.48 1047.149 1283.485 0.0227266364 +115365.73 969.426 1191.107 0.0189235303 +117656.46 894.684 1102.401 0.0136711375 +119966.47 827.783 1023.124 0.0206494552 +122316.44 764.38 948.17 0.0196468827 +124682.61 707.971 881.468 0.0234008547 +127112.59 652.827 816.521 0.0179136819 +129593.47 602.327 756.822 0.0219453868 +132138.45 556.012 702.221 0.0233858932 +134783.63 513.623 652.229 0.0275481397 +137516.43 472.5798 603.978 0.03706211 +140499.42 434.7835 559.291 0.0302803567 +143528.42 400.4592 518.563 0.0186574382 +147748.49 367.8716 479.6998 0.0700276802 +151105.74 338.2964 444.265 0.00504579032 +154976.52 310.4995 410.9223 0.00737570336 +158966.62 285.1992 380.3627 0.00721255849 +163048.45 262.0291 352.2129 0.00538600037 +167283.50 240.4677 325.8579 0.00732454777 +171634.53 220.4545 301.1851 0.00596900327 +176054.51 201.9761 278.2389 0.00434614772 +180590.57 185.2084 257.1889 0.00731771822 +185216.55 169.1819 236.9191 0.00906912344 +189915.73 154.282 217.981 0.00823650411 +194547.44 140.7471 200.485 0.0106808239 +199233.65 128.3782 184.3399 0.00835158668 +203860.60 117.2146 169.6018 0.00703676062 +208558.42 106.5327 155.289 0.00269814751 +213178.44 97.0938 142.5332 0.00210618138 +217804.66 88.334 130.5863 0.00249419326 +222336.56 80.6851 120.0129 0.00253160028 +226868.47 73.434 109.8898 0.00147512711 +231463.49 65.5991 98.8125 0.00266176633 +235156.43 62.5517 94.4596 0.00229434086 +238247.44 60.9281 92.1349 0.00195166596 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c6-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c6-checkpoint.dat new file mode 100644 index 0000000..afbf658 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c6-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47793.59 15219.33 1719.351 0.0578869588 +50884.64 13480.66 14319.19 1.7778892 +53338.42 11183.14 11923.11 0.691295885 +55758.43 9430.21 10092.72 0.737672014 +58363.57 8037.32 8632.7 0.754055701 +60935.74 6844.79 7379.55 0.434798804 +63478.43 5899.13 6385.43 0.537038174 +65933.56 5170.51 5617.86 0.29906521 +77403.59 4284.228 4680.639 0.151614313 +79613.60 3876.047 4247.419 0.0931713475 +81826.45 3505.819 3853.236 0.0672041665 +84053.58 3176.744 3502 0.103797881 +86258.42 2885.15 3190.344 0.0833930453 +88498.44 2625.609 2912.131 0.0578869588 +90745.73 2396.32 2665.706 0.0564127645 +92953.58 2191.865 2445.343 0.0668887135 +95178.43 2011.217 2250.22 0.0781152994 +97396.44 1847.012 2072.37 0.0876013699 +99643.62 1696.584 1909.175 0.0642066975 +101915.70 1561.415 1763.074 0.0534265851 +104166.43 1440.336 1631.385 0.0972959403 +106405.78 1328.941 1509.187 0.0295313393 +108657.41 1226.362 1397.381 0.0369716107 +110917.43 1132.728 1295.14 0.0270554985 +113177.44 1047.068 1201.68 0.0124096736 +115456.45 969.396 1116.867 0.0264215821 +117747.42 894.653 1035.197 0.0209785605 +120057.43 827.748 962.116 0.0228997817 +122407.44 764.387 892.923 0.0191337398 +124773.62 707.946 831.144 0.0183412104 +127203.63 652.79 770.911 0.0333601559 +129683.48 602.256 715.466 0.0253061257 +132229.45 555.879 664.621 0.0221110832 +134873.55 513.578 618.074 0.0107888832 +137607.44 472.5417 573.065 0.0201121854 +140590.57 434.7474 531.258 0.0212508823 +143618.43 400.4457 492.945 0.00879659025 +147839.40 367.8655 456.5886 0.010477786 +151196.51 338.265 423.3827 0.0120897064 +155067.44 310.4663 391.9963 0.00657426802 +159057.42 285.1454 363.2376 0.00640343658 +163138.45 261.9736 336.7056 0.00824645378 +167374.47 240.4183 311.8406 0.00795260963 +171725.74 220.4104 288.5086 0.00678851972 +176145.79 201.9501 266.8114 0.00656384034 +180681.57 185.1475 246.8663 0.00688774274 +185307.43 169.1403 227.6223 0.00890847911 +190006.61 154.2423 209.643 0.0112222992 +194638.43 140.7059 193.0114 0.00755804207 +199324.50 128.3436 177.6548 0.0082277579 +203951.53 117.179 163.5939 0.00439420072 +208648.46 106.512 149.9523 0.00309854805 +213268.48 97.0719 137.7846 0.00261992366 +217895.67 88.3197 126.364 0.00232808935 +222427.41 80.6663 116.2478 0.00203371581 +226959.43 73.4169 106.5546 0.00355021126 +231554.49 65.5874 95.9447 0.0018817545 +235247.43 62.5441 91.7755 0.00401061093 +238338.45 60.9205 89.5391 0.0014862705 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-09_p0_c5-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-09_p0_c5-checkpoint.dat new file mode 100644 index 0000000..f942f26 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-09_p0_c5-checkpoint.dat @@ -0,0 +1,50 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68243.52 17547.24 10645.95 1.11939716 +70848.45 13327.5 8082.02 0.421141306 +73049.42 11425.1 6924.9 0.267581763 +75248.43 9840.58 5961.91 0.298814324 +77446.44 8571.3 5191.17 0.352718018 +79642.61 7466.51 4517.742 0.175566512 +81838.42 6550.91 3961.221 0.0611138282 +84035.76 5780.2 3492.448 0.0712713126 +86236.48 5132.18 3098.785 0.0719478978 +88493.50 4559.681 2751.18 0.0656810475 +90698.43 4060.239 2446.624 0.10546279 +92917.43 3630.214 2184.117 0.0724851709 +95138.45 3253.766 1954.678 0.0994967336 +97368.42 2923.121 1752.822 0.0761813626 +99598.43 2628.189 1571.237 0.0392950379 +101864.48 2370.209 1413.886 0.0334424879 +104099.45 2150.51 1279.565 0.0343292878 +106328.42 1957.734 1161.777 0.0316243577 +108553.52 1786.956 1057.598 0.028975852 +110788.45 1635.673 965.337 0.019851952 +113018.42 1502.172 884.481 0.0305434117 +115253.51 1379.018 809.602 0.020238577 +117478.43 1267.204 741.844 0.0370189141 +119739.41 1165.813 680.502 0.0189103146 +122002.62 1073.924 625.16 0.013114877 +124273.51 991.211 575.56 0.0177763888 +126583.52 912.375 528.438 0.0243228288 +128898.41 842.338 455.1977 0.00679418869 +131218.43 776.637 419.0191 0.00749459805 +133583.52 718.358 387.2687 0.0074431848 +135988.45 661.667 356.5208 0.00650814874 +138473.50 609.633 328.4211 0.00493649673 +141003.52 562.227 302.8597 0.00775377327 +143599.45 518.941 279.7202 0.00431462629 +146288.42 477.0273 257.6061 0.00705187918 +149063.52 438.6107 237.3114 0.00839785687 +151968.41 403.4895 218.7956 0.00822702863 +155553.51 370.3147 201.4766 0.0101392307 +158956.45 340.8307 186.0619 0.0110203902 +162753.50 312.8931 171.509 0.00826559133 +166688.45 287.1451 158.1919 0.0241910934 +170714.50 263.6465 145.9613 0.0218133216 +174903.48 241.7881 134.6218 0.0270143665 +179213.58 221.5209 124.1092 0.0177424914 +183593.49 202.8766 114.4851 0.0133240009 +188110.51 185.8901 105.6596 0.0156730342 +192634.49 169.7869 97.2324 0.0274769722 +197344.51 154.7201 89.4848 0.00948451369 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-09_p1_c5-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-09_p1_c5-checkpoint.dat new file mode 100644 index 0000000..56bdf77 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-09_p1_c5-checkpoint.dat @@ -0,0 +1,53 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68722.64 17531.17 10633.29 0.857257254 +71328.41 13330.84 8083.26 0.26540535 +73528.42 11425.14 6924.97 0.183874958 +75724.51 9840.4 5960.87 0.329863608 +77923.52 8571.17 5192.06 0.224588513 +80118.41 7466.74 4517.686 0.129020929 +82315.79 6550.96 3960.979 0.076973372 +84513.51 5780.21 3492.439 0.0787965735 +86765.65 5132.55 3099.327 0.0884878523 +88971.62 4559.758 2751.176 0.130155292 +91176.43 4060.378 2446.512 0.11531522 +93397.44 3630.101 2184.11 0.0870057469 +95616.45 3253.868 1954.44 0.0798122798 +97843.50 2923.319 1752.925 0.0657457223 +100073.51 2627.932 1571.225 0.0304055916 +102344.52 2370.234 1413.734 0.0277560804 +104578.41 2150.142 1279.449 0.0167600716 +106806.42 1957.363 1161.562 0.0310096759 +109033.64 1786.655 1057.449 0.0247163913 +111263.52 1635.455 965.314 0.0256593063 +113496.42 1502.113 884.469 0.0203199409 +115728.43 1378.845 809.441 0.018732325 +117957.44 1267.013 741.77 0.0177763888 +120218.41 1165.534 680.449 0.022020445 +122482.62 1073.671 625.031 0.0277290461 +124753.51 990.947 575.427 0.0196494275 +127064.48 912.183 528.317 0.0237507895 +129374.50 842.163 455.1186 0.00993498868 +131694.51 776.392 418.8698 0.00908713376 +134058.44 718.058 387.0787 0.00647618715 +136468.46 661.415 356.441 0.00712460525 +138948.43 609.401 328.2859 0.00928164856 +141483.52 561.961 302.7278 0.0101121709 +144078.46 518.647 279.5876 0.00618417335 +146763.50 476.7639 257.4781 0.00626490223 +149540.60 438.3446 237.1628 0.00518613536 +152446.45 403.1694 218.6274 0.00531450844 +156028.43 370.0706 201.3174 0.00643303972 +159433.53 340.3971 185.8325 0.00764362479 +163228.43 312.4427 171.2608 0.00988008097 +167164.33 286.6935 157.9546 0.0326457348 +171193.34 263.1844 145.7734 0.0271688056 +175379.29 241.3738 134.4808 0.0192866793 +179688.27 221.1137 123.907 0.0260614658 +184070.45 202.4894 114.3116 0.0282762091 +188598.43 185.5163 105.4609 0.0176286415 +193113.45 169.445 97.1176 0.0188802542 +197824.48 154.4099 89.3238 0.0241953715 +239658.44 65.544 81.2136 0.00253061257 +243377.42 62.4943 77.5486 0.00339470175 +246496.48 60.8736 75.6053 0.00243741667 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c4-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c4-checkpoint.dat new file mode 100644 index 0000000..9904da7 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c4-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69111.64 17522.11 9861.93 0.586182565 +71715.65 13331.76 7771.22 0.382047118 +73915.62 11426.3 6788.53 0.298345437 +76113.52 9840.3 5957.33 0.187643279 +78312.60 8572.26 5280.54 0.34473178 +80503.50 7466.49 4677.664 0.143862434 +82703.51 6550.33 4172.595 0.127978514 +84902.64 5780.82 3740.963 0.093520586 +87153.49 5132.31 3372.24 0.0529528092 +89358.41 4559.683 3042.403 0.0641880051 +91565.68 4060.427 2749.761 0.11051199 +93786.45 3630.169 2493.806 0.0336808551 +96005.61 3253.713 2266.833 0.0899227446 +98229.42 2923.285 2065.078 0.0714954544 +100458.44 2627.859 1881.941 0.0869994253 +102733.48 2370.278 1720.101 0.0485685083 +104963.50 2149.994 1579.488 0.0271219468 +107193.51 1957.334 1455.324 0.0406743162 +109422.64 1786.719 1344.2 0.0134907376 +111648.45 1635.149 1244.29 0.0230217289 +113883.50 1501.964 1155.932 0.0276694778 +116113.51 1378.807 1072.922 0.0238243573 +118346.44 1267.038 996.875 0.0368035324 +120603.49 1165.576 926.834 0.0106957936 +122868.42 1073.631 862.838 0.0154142791 +125142.63 990.873 804.578 0.0216240607 +127453.52 912.039 748.434 0.0188255146 +129763.50 842.003 697.959 0.0189446562 +132083.51 776.197 649.989 0.028193971 +134443.52 718.075 607.115 0.0360901649 +136853.49 661.307 564.678 0.0296243143 +139333.51 609.284 525.433 0.0234968083 +141872.64 561.804 488.9275 0.00636906587 +144465.65 518.484 455.3698 0.00801847866 +147148.42 476.6086 422.6897 0.00508340437 +149928.44 438.1829 392.2026 0.00868009217 +152835.65 403.0322 363.9594 0.00940446702 +156417.43 369.939 337.064 0.00517687164 +159822.61 340.1488 312.5609 0.00852812992 +163614.63 312.1894 289.3057 0.00986818119 +167553.52 286.431 267.6289 0.01097857 +171581.63 262.9144 247.6397 0.00728017857 +175767.40 241.1098 228.8628 0.00500159974 +180073.63 220.857 211.2895 0.00630277717 +184458.45 202.2376 194.9342 0.0102925216 +188985.63 185.3029 179.9113 0.00470329672 +193501.61 169.2214 165.5149 0.00538785672 +198213.64 154.2178 151.9436 0.00249879971 +202905.66 140.5998 139.5063 0.00259248915 +207545.68 128.2556 128.1234 0.00260844781 +212268.43 117.0334 117.6926 0.00252665787 +217035.69 106.3446 107.6666 0.00151129084 +221693.63 96.9118 98.7431 0.00163370744 +226318.41 88.1543 90.3949 0.00251575039 +230885.72 80.4994 83.0307 0.00234115356 +235421.63 73.2796 76.0459 0.00260940606 +240045.65 65.4661 68.4196 0.00206009709 +243765.66 62.4288 65.4323 0.00308236922 +246884.64 60.8183 63.8363 0.00217738375 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-checkpoint.dat new file mode 100644 index 0000000..d263d98 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-checkpoint.dat @@ -0,0 +1,50 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69202.48 17520.84 10633.15 0.526735228 +71806.46 13330.02 8083.52 0.310096759 +74006.47 11426.05 6925.46 0.166853229 +76203.52 9839.43 5960.91 0.283001767 +78403.53 8571.91 5191.59 0.258244071 +80593.49 7466.2 4517.542 0.128769562 +82793.51 6550.42 3961.591 0.0623610455 +84993.52 5780.65 3493.4 0.118718154 +87244.49 5132.39 3099.171 0.104932836 +89448.43 4559.319 2750.915 0.0749833315 +91656.43 4060.32 2446.493 0.0738383369 +93877.44 3630.208 2184.32 0.0968710483 +96096.45 3253.654 1954.577 0.0774603124 +98320.59 2923.388 1752.902 0.0642464007 +100548.43 2627.921 1571.247 0.0265348827 +102823.48 2370.267 1413.818 0.0470914005 +105053.61 2150.083 1279.219 0.0165196852 +107283.51 1957.399 1161.542 0.0343744091 +109513.48 1786.809 1057.476 0.0198595065 +111738.45 1635.268 965.177 0.0334080829 +113973.50 1501.975 884.303 0.0214499417 +116203.63 1378.794 809.457 0.0254578082 +118437.44 1267.019 741.72 0.0225831796 +120693.54 1165.532 680.3 0.0132664992 +122958.43 1073.595 624.967 0.0300349796 +125233.51 990.807 575.29 0.0203469899 +127543.49 911.976 528.262 0.0197888858 +129853.50 841.986 454.9896 0.00988352164 +132173.51 776.218 418.8509 0.00955766708 +134533.52 718.077 387.4529 0.00920483569 +136943.49 661.304 356.2949 0.0088073265 +139424.51 609.28 328.1681 0.00730130125 +141964.48 561.787 302.6048 0.0113408994 +144556.45 518.425 279.4792 0.00749373071 +147238.42 476.5708 257.3655 0.00936509477 +150019.44 438.1419 237.0645 0.0109281746 +152926.45 402.9776 218.559 0.00681909085 +156508.43 369.8981 201.2538 0.0091834634 +159913.53 340.1029 185.6822 0.00700399886 +163705.67 312.1318 171.1044 0.0106632078 +167644.52 286.3659 157.8232 0.0161825832 +171672.63 262.8695 145.5398 0.0178077511 +175858.40 241.0612 134.1819 0.026371367 +180163.62 220.8055 123.7169 0.0193728934 +184548.41 202.1957 114.094 0.0173476223 +189076.32 185.2645 105.3134 0.0164737367 +193592.61 169.1779 96.9867 0.0100020498 +198304.64 154.1816 89.2345 0.0107081744 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-original-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-original-checkpoint.dat new file mode 100644 index 0000000..3c4b561 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-original-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69202.48 17520.84 10633.15 0.526735228 +71806.46 13330.02 8083.52 0.310096759 +74006.47 11426.05 6925.46 0.166853229 +76203.52 9839.43 5960.91 0.283001767 +78403.53 8571.91 5191.59 0.258244071 +80593.49 7466.2 4517.542 0.128769562 +82793.51 6550.42 3961.591 0.0623610455 +84993.52 5780.65 3493.4 0.118718154 +87244.49 5132.39 3099.171 0.104932836 +89448.43 4559.319 2750.915 0.0749833315 +91656.43 4060.32 2446.493 0.0738383369 +93877.44 3630.208 2184.32 0.0968710483 +96096.45 3253.654 1954.577 0.0774603124 +98320.59 2923.388 1752.902 0.0642464007 +100548.43 2627.921 1571.247 0.0265348827 +102823.48 2370.267 1413.818 0.0470914005 +105053.61 2150.083 1279.219 0.0165196852 +107283.51 1957.399 1161.542 0.0343744091 +109513.48 1786.809 1057.476 0.0198595065 +111738.45 1635.268 965.177 0.0334080829 +113973.50 1501.975 884.303 0.0214499417 +116203.63 1378.794 809.457 0.0254578082 +118437.44 1267.019 741.72 0.0225831796 +120693.54 1165.532 680.3 0.0132664992 +122958.43 1073.595 624.967 0.0300349796 +125233.51 990.807 575.29 0.0203469899 +127543.49 911.976 528.262 0.0197888858 +129853.50 841.986 454.9896 0.00988352164 +132173.51 776.218 418.8509 0.00955766708 +134533.52 718.077 387.4529 0.00920483569 +136943.49 661.304 356.2949 0.0088073265 +139424.51 609.28 328.1681 0.00730130125 +141964.48 561.787 302.6048 0.0113408994 +144556.45 518.425 279.4792 0.00749373071 +147238.42 476.5708 257.3655 0.00936509477 +150019.44 438.1419 237.0645 0.0109281746 +152926.45 402.9776 218.559 0.00681909085 +156508.43 369.8981 201.2538 0.0091834634 +159913.53 340.1029 185.6822 0.00700399886 +163705.67 312.1318 171.1044 0.0106632078 +167644.52 286.3659 157.8232 0.0161825832 +171672.63 262.8695 145.5398 0.0178077511 +175858.40 241.0612 134.1819 0.026371367 +180163.62 220.8055 123.7169 0.0193728934 +184548.41 202.1957 114.094 0.0173476223 +189076.32 185.2645 105.3134 0.0164737367 +193592.61 169.1779 96.9867 0.0100020498 +198304.64 154.1816 89.2345 0.0107081744 +202996.46 140.5638 170.3103 0.00487862686 +207636.44 128.2193 155.6827 0.00322815737 +212358.43 117.0038 142.4359 0.0022558812 +217126.49 106.3233 129.7808 0.00254086599 +221784.64 96.8887 118.5919 0.0028929224 +226409.42 88.1337 108.1973 0.00177792013 +230976.48 80.4793 99.0692 0.00277776889 +235512.63 73.2576 90.4551 0.00261705942 +240136.48 65.4556 81.1004 0.00320062494 +243856.43 62.4204 77.4605 0.00167481342 +246975.68 60.8054 75.5125 0.00263153947 diff --git a/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c6-checkpoint.dat b/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c6-checkpoint.dat new file mode 100644 index 0000000..27770b1 --- /dev/null +++ b/calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c6-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69292.65 17520.29 19656.56 1.61593317 +71897.46 13329.87 15036.57 0.669186073 +74097.42 11426.25 12928.12 0.581515262 +76293.52 9840.18 11168.27 0.419297031 +78494.45 8573.23 9752.8 0.343220046 +80684.62 7466.19 8516.22 0.211092397 +82883.51 6549.74 7486.92 0.43099884 +85083.52 5780.36 6618.22 0.261074702 +87335.65 5131.58 5883.34 0.261610397 +89538.42 4559.213 5236.26 0.321309819 +91747.43 4060.127 4665.133 0.0629769799 +93968.44 3630.423 4173.45 0.0942974019 +96187.45 3253.643 3741.222 0.0939127254 +98411.63 2923.485 3361.152 0.0749639914 +100638.44 2627.989 3019.719 0.0639914057 +102913.49 2370.398 2721.683 0.0771368913 +105144.50 2150.018 2466.107 0.0854640275 +107373.47 1957.414 2241.697 0.0867415702 +109603.53 1786.751 2043.307 0.0685718601 +111829.41 1635.056 1866.836 0.0776942726 +114063.50 1501.934 1712.345 0.0871349528 +116294.51 1378.789 1568.2 0.0186547581 +118528.45 1267.018 1438.186 0.0256593063 +120783.50 1165.509 1320.18 0.0175499288 +123048.43 1073.589 1213.639 0.0144533733 +125323.52 990.824 1117.998 0.0338171554 +127633.52 911.964 1027.029 0.0181356003 +129943.62 842.012 946.656 0.025502941 +132264.51 776.234 871.367 0.0188706121 +134623.52 718 805.082 0.0258379566 +137033.50 661.287 740.723 0.0231969826 +139515.66 609.265 682.061 0.0216540989 +142055.67 561.725 628.651 0.0201221271 +144647.43 518.364 580.08 0.025019992 +147328.42 476.5293 533.61 0.0296984848 +150110.60 438.118 490.7403 0.00600341569 +153017.46 402.9544 451.7664 0.00374753252 +156598.44 369.8725 415.2328 0.00823747534 +160004.44 340.041 382.3106 0.00523870213 +163796.51 312.0853 351.5203 0.00479802043 +167735.68 286.3194 323.1536 0.00533704038 +171763.50 262.8298 297.2937 0.00674247729 +175948.44 241.014 273.2693 0.0045366287 +180253.63 220.7646 250.9722 0.00966933297 +184638.45 202.1557 230.4428 0.00643397233 +189167.43 185.2231 211.7332 0.00939659513 +193683.62 169.132 193.9639 0.00754645612 +198395.68 154.1378 177.418 0.00965608616 +203087.42 140.5262 162.2946 0.0111276233 +207727.44 128.1874 148.4948 0.00168997041 +212448.42 116.9793 135.9838 0.00277416654 +217217.41 106.2979 124.034 0.00227596134 +221875.76 96.8696 113.4435 0.00258166613 +226500.57 88.1116 103.6004 0.00257371327 +231067.44 80.4593 94.9558 0.00249719843 +235603.62 73.2411 86.7912 0.00191728975 +240227.45 65.4404 77.922 0.00291204396 +243947.43 62.41 74.4634 0.00242569578 +247066.48 60.7938 72.6212 0.00120664825 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c1-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c1-checkpoint.dat new file mode 100644 index 0000000..4754214 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c1-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38678.65 30475.3 24469.51 1.29022866 +39606.53 30521.55 24505.24 1.39163214 +40682.55 26927.77 21801.44 1.36030879 +41712.55 21626.76 17775.41 1.24398151 +42724.56 17687.78 14707.47 0.868107136 +43738.52 14657.14 12352.87 1.42007394 +44747.53 12252.09 10443.23 2.11012085 +46030.57 10157.14 8760.51 0.52980185 +46960.58 8611.1 7500.01 0.352547869 +47890.58 7333.56 6446.08 0.396434105 +48820.58 6350.36 5624.82 0.417803782 +49776.63 5504 4910.203 0.192759176 +50727.48 4818.453 4328.614 0.105187452 +51694.50 4232.833 3825.288 0.182897786 +52624.61 3745.711 3402.322 0.138324257 +53555.73 3331.894 3040.496 0.118500633 +54485.70 2979.938 2729.615 0.119668292 +55415.70 2674.97 2459.165 0.190721 +56345.63 2410.842 2223.014 0.109637585 +57275.72 2178.876 2014.181 0.219460475 +58205.68 1979.366 1833.96 0.153205744 +59135.73 1802.099 1672.423 0.138304374 +60095.65 1644.491 1527.687 0.0507158752 +61075.65 1509.949 1405.046 0.0498838651 +62018.50 1372.17 1278.411 0.0415559863 +62991.54 1260.169 1175.258 0.0492503807 +63964.55 1159.343 1082.194 0.0366387773 +64940.59 1068.609 998.47 0.0349571166 +65916.56 981.671 918.082 0.0321496501 +66905.72 904.614 846.853 0.0519047204 +67905.65 835.703 783.295 0.0322567822 +68915.66 770.841 723.494 0.0427597942 +69934.58 710.456 667.935 0.0263153947 +70967.63 654.683 616.72 0.0375765885 +72030.59 601.793 568.088 0.0399449621 +73107.47 555.632 525.769 0.0295448811 +74242.60 510.238 484.0643 0.0203420992 +75432.53 469.4588 447.0277 0.0115430065 +76685.69 431.1407 411.9777 0.00810067898 +78026.54 396.116 380.0039 0.0109740148 +79498.63 363.7421 350.3965 0.0110256519 +81178.64 334.2204 323.3919 0.0155970831 +83035.73 306.2447 297.7668 0.0155472184 +85070.58 281.516 275.0918 0.00737265217 +88422.56 259.4164 254.7052 0.0105496919 +91783.58 237.6868 234.6815 0.0143200908 +95102.59 217.5175 215.9005 0.00933300595 +98509.53 198.9408 198.6714 0.0164263203 +101914.59 182.7774 183.5067 0.00961462428 +105525.61 165.638 167.4403 0.0180709989 +109116.51 151.2383 153.8424 0.00704726897 +112706.52 138.0879 141.352 0.00286705424 +116290.59 126.0819 129.8823 0.00331375919 +119960.60 114.4454 118.7238 0.00343161769 +123541.58 104.1742 108.7824 0.00250279843 +127032.56 95.0294 99.9012 0.00412019417 +130524.50 86.4735 91.5415 0.00489744832 +133976.51 78.6485 83.8333 0.00401011222 +137334.53 71.565 76.8407 0.00305630496 +140606.55 65.0222 70.3123 0.00434062208 +143126.52 62.0262 67.3123 0.00347001441 +145205.78 60.3754 65.6623 0.00318763235 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c2-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c2-checkpoint.dat new file mode 100644 index 0000000..b659854 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c2-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38709.49 30473.4 31712.55 4.69651467 +39637.50 30518.32 31773.89 2.54937051 +40713.54 26930.71 28071.38 1.56906341 +41743.51 21626.89 22588.94 1.80262031 +42755.63 17678.09 18489.03 1.75254387 +43769.52 14659.68 15367.61 1.2700748 +44778.49 12231.18 12835.78 0.730999316 +46061.62 10157.23 10672.67 0.461746684 +46991.58 8610.64 9055.18 0.31394267 +47921.55 7334.15 7717.41 0.402355564 +48851.59 6349.71 6683.68 0.467504011 +49807.67 5503.21 5792.88 0.500759423 +50757.48 4817.983 5072.36 0.433405122 +51724.52 4232.828 4451.383 0.189968682 +52655.73 3745.537 3935.529 0.115103866 +53586.50 3331.641 3497.141 0.111404219 +54516.54 2979.768 3123.148 0.184574104 +55446.54 2674.812 2799.646 0.0954064987 +56376.67 2410.658 2518.73 0.133641311 +57306.63 2179.394 2272.062 0.0771336502 +58236.56 1979.678 2059.578 0.109295929 +59166.49 1802.592 1871.202 0.102720981 +60126.53 1644.311 1703.08 0.155280392 +61106.50 1510.003 1560.424 0.0289551377 +62049.46 1372.241 1414.298 0.0421141306 +63022.59 1260.226 1295.753 0.0467129532 +63995.75 1159.35 1189.407 0.0298345437 +64971.59 1068.648 1093.997 0.0520586208 +65947.51 981.781 1002.799 0.0426485639 +66936.53 904.629 922.351 0.0412177146 +67936.65 835.715 850.769 0.0484654516 +68946.49 770.821 783.715 0.0290258505 +69965.74 710.502 721.662 0.028733256 +70998.55 654.637 664.618 0.0508487955 +72061.59 601.786 610.685 0.050798622 +73137.52 555.497 563.658 0.0365732142 +74273.57 510.25 518.031 0.0475909655 +75463.53 469.4997 477.1383 0.0142968878 +76716.54 431.1438 438.7402 0.00984256064 +78057.51 396.0898 403.8501 0.0132864216 +79529.43 363.7201 371.5544 0.0175483333 +81209.52 334.1918 342.2561 0.0166616026 +83066.49 306.2132 314.4955 0.01710687 +85101.58 281.4873 289.9541 0.0129317052 +88453.56 259.342 267.9777 0.0156237319 +91814.57 237.6362 246.4614 0.0164269291 +95133.59 217.455 226.3844 0.00915117479 +98540.57 198.905 207.9524 0.014961417 +101945.71 182.705 191.7636 0.0149761143 +105556.56 165.6084 174.6262 0.0186299758 +109146.55 151.2082 160.2831 0.0126652675 +112737.48 138.0594 146.9938 0.00459739056 +116321.59 126.0585 134.8644 0.00445466048 +119991.61 114.4267 123.0817 0.00523459645 +123572.58 104.1575 112.6204 0.00659272326 +127063.56 95.0123 103.2886 0.00590118632 +130555.65 86.4647 94.5139 0.00334499626 +134007.55 78.6258 86.4343 0.00484159065 +137365.65 71.5547 79.1146 0.00356987395 +140637.67 65.0098 72.3011 0.00344804292 +143157.52 62.0115 69.1692 0.00358273638 +145236.57 60.3625 67.4489 0.00452868634 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c4-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c4-checkpoint.dat new file mode 100644 index 0000000..f4976d3 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p0_c4-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38740.57 30468.68 27008.48 1.3224069 +39667.54 30519.02 27048.82 1.73998851 +40744.54 26930.92 24074.78 1.33062391 +41774.55 21629.29 19635.14 2.94904052 +42786.64 17661.05 16240.79 1.89665231 +43800.56 14677.4 13659.47 1.54032789 +44809.44 12232.8 11529.28 1.94421192 +46092.58 10157.66 9685.46 0.450821472 +47022.58 8610.44 8294.78 0.549326861 +47952.54 7334.32 7132.3 0.483735465 +48882.59 6351.03 6225.73 0.317505905 +49837.52 5502.24 5437.29 0.492838716 +50787.48 4818.157 4792.586 0.133769952 +51755.64 4232.793 4235.713 0.138679847 +52686.49 3745.449 3768.218 0.142715101 +53617.54 3331.809 3367.708 0.167175357 +54547.54 2979.561 3023.449 0.1058532 +55477.55 2674.609 2723.365 0.088524008 +56407.51 2410.692 2462.016 0.0677967551 +57337.48 2179.712 2231.086 0.126342392 +58267.52 1979.427 2030.614 0.0994907031 +59196.56 1802.627 1851.369 0.0891566038 +60157.65 1644.243 1691.174 0.123856368 +61136.54 1510.057 1554.705 0.0437549997 +62080.58 1372.288 1414.055 0.0354189215 +63053.55 1260.23 1299.109 0.0353680647 +64026.55 1159.409 1195.879 0.0405080239 +65002.60 1068.607 1102.725 0.0557539236 +65978.68 981.775 1013.458 0.041080409 +66967.52 904.534 934.219 0.0548169682 +67967.49 835.742 863.628 0.0592418771 +68977.66 770.783 797.061 0.0452205705 +69996.50 710.543 735.194 0.0517918913 +71029.42 654.701 678.364 0.0589610041 +72092.51 601.812 624.33 0.0303315018 +73167.64 555.463 577.151 0.036727374 +74304.57 510.164 531.215 0.0341540627 +75494.53 469.4978 489.8489 0.0129649142 +76747.50 431.1224 450.9467 0.0149906971 +78087.50 396.0907 415.4505 0.0148984899 +79560.60 363.7057 382.6049 0.0136333782 +81240.60 334.1763 352.7113 0.011609522 +83097.49 306.1848 324.3295 0.0167488806 +85132.54 281.4672 299.1994 0.0178959213 +88484.52 259.2867 276.6401 0.015123128 +91845.66 237.5974 254.5268 0.0183536372 +95164.60 217.4338 233.8551 0.0153378291 +98571.62 198.872 214.8621 0.00782617403 +101976.55 182.6478 198.2049 0.0104951894 +105587.49 165.5659 180.5083 0.0119983749 +109176.47 151.1647 165.6935 0.0130661777 +112768.49 138.0322 151.9207 0.00656361181 +116352.59 126.0305 139.3784 0.00186118242 +120022.56 114.4062 127.2006 0.00419332803 +123603.58 104.1378 116.3753 0.00334678951 +127094.55 94.9909 106.6967 0.0044588115 +130586.49 86.4569 97.6401 0.00412904347 +134038.56 78.611 89.2776 0.00499039077 +137396.57 71.5439 81.7026 0.00441633332 +140668.63 65.0039 74.6669 0.00415078306 +143187.52 62.0022 71.4216 0.00610933712 +145267.50 60.3493 69.6453 0.00456081133 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c1-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c1-checkpoint.dat new file mode 100644 index 0000000..7e88647 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c1-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38776.54 30466.96 24433.91 7.41059309 +39703.58 30512.79 24494.52 1.1441853 +40780.59 26926.86 21805.68 1.54504369 +41810.59 21626.69 17777.01 2.20156535 +42822.56 17673.16 14725.41 1.1839299 +43836.49 14674.11 12383.69 2.47800121 +44845.69 12256.03 10439.84 1.88760165 +46128.46 10157.43 8760.3 0.527825729 +47058.66 8609.64 7499.65 0.539675829 +47988.63 7332.06 6445.95 0.349928564 +48918.50 6352.1 5625.51 0.558650159 +49872.55 5503.33 4909.811 0.130195622 +50822.55 4819.022 4328.889 0.127267042 +51791.56 4232.418 3824.921 0.155508521 +52722.57 3745.657 3402.165 0.101658743 +53652.57 3331.776 3040.49 0.137847742 +54582.58 2979.429 2729.299 0.127251326 +55512.58 2674.399 2459.053 0.151453293 +56443.55 2411.051 2222.938 0.13918908 +57372.60 2179.69 2014.153 0.0639069636 +58302.60 1979.604 1833.356 0.154137601 +59232.60 1802.573 1672.454 0.0851140411 +60192.53 1644.521 1527.532 0.0554941438 +61172.58 1510.004 1405.011 0.0385084406 +62116.54 1372.335 1278.464 0.0443215523 +63089.50 1260.17 1175.2 0.0262678511 +64062.59 1159.452 1082.14 0.0399749922 +65038.51 1068.802 998.318 0.0393903541 +66014.56 981.807 917.999 0.0476959118 +67003.56 904.615 846.668 0.0390589298 +68002.65 835.556 783.194 0.0412601503 +69013.57 770.717 723.44 0.0416173041 +70031.62 710.476 667.967 0.0460662566 +71065.70 654.909 616.695 0.031344856 +72128.68 601.641 568.173 0.0569570013 +73203.57 555.473 525.576 0.0375819105 +74340.60 510.135 484.0885 0.0100729837 +75530.61 469.4568 447.0377 0.0102323507 +76782.62 431.0866 411.9648 0.00690478095 +78122.59 396.0886 379.9475 0.00712355248 +79596.51 363.6239 350.3731 0.0123429737 +81276.57 334.1517 323.3329 0.0156412595 +83132.53 306.1544 297.7069 0.0196348924 +85168.50 281.4303 274.966 0.0160068735 +88520.60 259.2293 254.5595 0.00811326075 +91881.58 237.5475 234.5561 0.0118485864 +95200.59 217.3224 215.7774 0.00948071727 +98607.61 198.8316 198.5685 0.0117696644 +102012.59 182.5951 183.4563 0.0141908774 +105622.57 165.5189 167.3428 0.012057197 +109211.59 151.1284 153.7637 0.00432215224 +112804.60 138.001 141.2714 0.00343278313 +116388.63 125.9977 129.8234 0.00405018518 +120058.64 114.395 118.658 0.00597159945 +123639.46 104.1287 108.7248 0.00324899985 +127130.60 94.9648 99.8526 0.00453916292 +130621.53 86.4424 91.4945 0.00668917035 +134074.55 78.6118 83.783 0.00323728281 +137432.53 71.5217 76.7855 0.00448385994 +140704.51 64.9844 70.2762 0.00309127805 +143222.60 62.0062 67.2732 0.00353496818 +145302.65 60.3464 65.6241 0.0041915391 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c2-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c2-checkpoint.dat new file mode 100644 index 0000000..5bf6d4b --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c2-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38807.49 30459.19 31713.09 1.10629562 +39734.54 30509.78 31762.34 0.847844325 +40811.59 26922.51 28070.43 1.58953138 +41841.59 21624.1 22594.72 0.982527353 +42853.56 17676.91 18486.56 2.10129484 +43867.68 14669.85 15391.27 3.41350406 +44876.52 12240.9 12844.58 2.52098393 +46159.53 10156.5 10671.97 0.465413794 +47089.49 8609.4 9055.93 0.253001976 +48019.50 7332.56 7716.4 0.502195181 +48949.51 6349.98 6684.22 0.319937494 +49903.56 5503.31 5792.37 0.459575891 +50853.56 4818.456 5071.89 0.284059853 +51822.56 4232.307 4451.239 0.152344675 +52753.57 3745.461 3935.563 0.115603201 +53683.57 3332.096 3496.969 0.144799517 +54613.54 2979.186 3122.772 0.118918459 +55543.54 2674.59 2799.647 0.155087395 +56474.55 2411.121 2518.471 0.141353811 +57403.59 2179.692 2272.138 0.169297372 +58333.60 1979.524 2059.56 0.159160297 +59263.56 1802.495 1871.278 0.074602949 +60223.53 1644.342 1703.392 0.124786217 +61203.53 1510.115 1560.233 0.0373911754 +62147.50 1372.237 1414.507 0.0320327957 +63120.59 1260.171 1295.673 0.0464338239 +64093.58 1159.366 1189.313 0.0437732795 +65069.41 1068.619 1093.911 0.0454411708 +66045.72 981.747 1002.876 0.0595012605 +67034.52 904.497 922.319 0.058351521 +68033.61 835.696 850.819 0.0384304567 +69044.50 770.805 783.616 0.0354739341 +70062.58 710.436 721.635 0.0342125708 +71096.55 654.698 664.648 0.0429138672 +72159.52 601.783 610.613 0.0282506637 +73234.55 555.321 563.446 0.0732966575 +74371.60 510.135 518.028 0.0486374341 +75561.61 469.4658 477.1362 0.011171213 +76813.50 431.1165 438.7504 0.0129376969 +78153.62 396.0717 403.802 0.0201131798 +79627.51 363.6567 371.5594 0.019187079 +81307.48 334.1386 342.193 0.0116713324 +83163.57 306.1398 314.3917 0.0171067531 +85199.50 281.4026 289.8617 0.0167595048 +88551.60 259.2135 267.8255 0.0158979558 +91912.58 237.5031 246.3202 0.0101339035 +95231.59 217.3244 226.2644 0.0137798403 +98638.65 198.7898 207.8088 0.011704529 +102043.59 182.611 191.6343 0.014067729 +105653.57 165.4987 174.5471 0.00972260253 +109242.54 151.1115 160.2228 0.0104074973 +112835.77 137.9776 146.9034 0.00337105325 +116419.46 125.9667 134.7699 0.00436451601 +120089.52 114.3714 123.0087 0.00538340041 +123670.58 104.1079 112.5573 0.00389628028 +127161.56 94.9539 103.2201 0.00255127419 +130652.54 86.4188 94.4545 0.00536516542 +134105.76 78.5852 86.3984 0.00335320742 +137463.53 71.5168 79.0737 0.00503199762 +140735.67 64.973 72.2623 0.00266477016 +143253.56 61.9871 69.1411 0.00367545915 +145333.61 60.3404 67.4111 0.004817572 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c4-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c4-checkpoint.dat new file mode 100644 index 0000000..ac0545f --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p1_c4-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38837.49 30456.46 26994.63 1.8912985 +39765.74 30504.05 27037.92 1.42518771 +40842.59 26920.5 24073.6 1.62609963 +41872.56 21625.8 19624.72 2.2396339 +42884.56 17670.2 16274.59 1.88983862 +43897.52 14666.72 13668.69 1.52489016 +44907.49 12232.84 11525.15 1.15293105 +46190.58 10155.89 9684.4 0.300998339 +47120.58 8609.94 8293.35 0.645639218 +48050.59 7332.42 7130.39 0.501487786 +48980.59 6350.41 6225.91 0.329378202 +49934.55 5502.5 5436.24 0.335916656 +50884.56 4818.563 4793.049 0.155791206 +51853.52 4232.635 4235.887 0.0992678196 +52784.56 3745.233 3768.374 0.130139925 +53714.61 3332.489 3367.897 0.159681245 +54644.58 2979.252 3023.269 0.106239823 +55574.55 2674.713 2723.385 0.148998322 +56505.67 2410.995 2461.86 0.128903064 +57434.55 2179.495 2231.337 0.125698449 +58364.56 1979.537 2030.604 0.0694435022 +59294.56 1802.466 1851.347 0.150459629 +60254.53 1644.357 1691.222 0.0972399095 +61234.50 1510.065 1554.561 0.0416040863 +62177.50 1372.329 1414.034 0.0363097783 +63151.58 1260.215 1299.221 0.0372411063 +64124.55 1159.413 1195.847 0.0370148619 +65100.59 1068.638 1102.717 0.0379486495 +66076.56 981.809 1013.511 0.056079408 +67065.65 904.564 934.159 0.0399111513 +68064.57 835.734 863.456 0.0280784615 +69075.66 770.816 797.045 0.0320390387 +70093.58 710.471 735.321 0.0385084406 +71127.63 654.607 678.449 0.054597619 +72190.59 601.834 624.364 0.0435935775 +73265.68 555.385 577.012 0.0424216926 +74402.60 510.049 531.074 0.0353043907 +75592.58 469.4814 489.8403 0.0120324977 +76844.62 431.122 450.8992 0.0107589962 +78184.62 396.0855 415.4181 0.013247981 +79657.51 363.6764 382.6102 0.0142413483 +81337.56 334.1279 352.6031 0.0208664563 +83194.57 306.1287 324.261 0.0120299626 +85230.58 281.364 299.0558 0.0138251944 +88582.56 259.1575 276.4752 0.0158901227 +91943.62 237.4793 254.3867 0.0167624879 +95262.55 217.2832 233.7079 0.0142481227 +98669.45 198.7604 214.731 0.0163438062 +102074.55 182.5845 198.0695 0.0118019066 +105684.57 165.4611 180.3877 0.0118659597 +109273.55 151.0842 165.5868 0.0207175288 +112866.53 137.9518 151.8271 0.00485685083 +116450.59 125.9506 139.2972 0.0029488981 +120120.56 114.3504 127.13 0.00337342556 +123701.58 104.0767 116.3053 0.0047498421 +127192.52 94.941 106.6478 0.00354626564 +130683.58 86.3992 97.5893 0.0032095171 +134136.52 78.577 89.2282 0.00384915575 +137494.54 71.5157 81.6632 0.00284885942 +140766.51 64.9604 74.6302 0.00479749935 +143284.56 61.9799 71.3885 0.00437092668 +145364.57 60.3334 69.613 0.00481040539 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c1-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c1-checkpoint.dat new file mode 100644 index 0000000..5aadb0d --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c1-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38872.54 30477.45 24465.6 1.32181693 +39801.58 30495.09 24490.1 1.01380471 +40878.59 26924.4 21805.91 1.43641568 +41908.63 21640.13 17765.5 2.20997738 +42920.60 17681.39 14710.34 0.630111101 +43933.53 14661.71 12372.66 2.4856468 +44942.64 12234.27 10440.06 2.55081164 +46226.66 10155.92 8758.76 0.488917171 +47156.50 8608.4 7499.77 0.288461436 +48086.50 7332.14 6445.68 0.485345238 +49016.59 6349.81 5625.08 0.547868597 +49970.59 5503.53 4909.842 0.116084452 +50920.60 4818.525 4328.686 0.128710528 +51889.45 4232.509 3824.935 0.156283396 +52820.57 3745.391 3402.265 0.0988964105 +53750.61 3332.395 3040.282 0.0683637331 +54680.58 2979.04 2728.953 0.131545049 +55610.58 2674.543 2458.614 0.0855827085 +56541.54 2410.364 2222.909 0.127125529 +57470.60 2178.676 2014.566 0.0679882343 +58400.60 1979.537 1833.648 0.180802655 +59330.57 1802.565 1672.681 0.107865194 +60290.57 1644.392 1527.566 0.0596690875 +61270.57 1510.048 1405.024 0.0474172964 +62212.61 1372.259 1278.375 0.0338008876 +63187.50 1260.099 1175.263 0.0506171908 +64160.59 1159.355 1082.136 0.0189314553 +65136.52 1068.74 998.423 0.0487042093 +66112.56 981.709 918.041 0.0612935559 +67101.56 904.664 846.812 0.0452061943 +68100.62 835.692 783.343 0.0495792295 +69111.54 770.808 723.545 0.0395284708 +70129.50 710.654 668.001 0.0432539016 +71163.51 654.651 616.781 0.0493852205 +72226.55 601.66 568.243 0.0397756207 +73301.56 555.247 525.434 0.0358664188 +74438.52 510.147 484.0546 0.0166986227 +75628.49 469.4566 447.0047 0.0145162323 +76880.62 431.0485 411.9763 0.01624503 +78220.59 396.0633 379.9235 0.0125293655 +79692.55 363.668 350.3184 0.0130385582 +81372.60 334.0681 323.271 0.0131954538 +83230.57 306.0728 297.6122 0.0199533456 +85266.68 281.3226 274.897 0.0128848749 +88618.52 259.1132 254.4009 0.00976775307 +91979.45 237.4377 234.4259 0.0160227651 +95298.63 217.2117 215.6847 0.00880346523 +98704.57 198.7453 198.4637 0.0197063695 +102110.59 182.5611 183.311 0.0119054609 +105720.60 165.4276 167.2443 0.0153948368 +109309.43 151.0447 153.6796 0.00485427647 +112902.61 137.9126 141.1953 0.00367164813 +116486.63 125.9266 129.739 0.00358887169 +120156.57 114.3231 118.59 0.00347850543 +123737.50 104.0635 108.6674 0.00329302293 +127228.48 94.9283 99.7898 0.00514353964 +130719.50 86.3918 91.4575 0.00297405447 +134172.59 78.5597 83.7557 0.00578973229 +137530.58 71.5027 76.7666 0.00349055869 +140801.59 64.9695 70.2467 0.00357784852 +143320.60 61.9642 67.247 0.00407921561 +145400.61 60.3193 65.6077 0.00208830074 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c2-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c2-checkpoint.dat new file mode 100644 index 0000000..5b69b43 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c2-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38903.62 30492.26 31741.41 1.63434696 +39832.58 30494.33 31748.48 1.25162295 +40909.50 26924.9 28068.22 1.67486119 +41939.51 21645.29 22598.64 1.35817525 +42951.52 17686.06 18500.68 1.83121817 +43964.52 14668.63 15376.66 1.11276233 +44973.61 12239.48 12852.59 2.2444799 +46257.61 10155.11 10670.91 0.308366665 +47187.62 8608.53 9055.14 0.38709172 +48117.62 7333.05 7717.35 0.569078202 +49047.63 6349.54 6682.98 0.463422054 +50001.55 5502.94 5791.15 0.429010489 +50951.56 4818.15 5072.2 0.235796522 +51920.56 4232.874 4451.23 0.143331783 +52851.65 3745.554 3935.596 0.117899958 +53781.57 3332.319 3497.574 0.120782449 +54711.57 2979.22 3122.954 0.1255245 +55641.58 2675.011 2799.371 0.144446876 +56572.55 2410.775 2518.598 0.206880642 +57501.60 2178.856 2272.001 0.153593294 +58431.60 1979.434 2059.618 0.145181266 +59361.56 1802.44 1871.409 0.17314416 +60321.54 1644.419 1703.497 0.143297244 +61301.54 1510.015 1560.458 0.0589202851 +62243.58 1372.209 1414.269 0.0489581454 +63217.50 1260.219 1295.789 0.0506645833 +64191.59 1159.378 1189.339 0.0528857259 +65167.63 1068.776 1093.957 0.0470754713 +66143.52 981.691 1002.829 0.0581283064 +67132.56 904.584 922.24 0.0594138031 +68131.61 835.616 850.866 0.0404771541 +69142.58 770.856 783.616 0.0462428373 +70160.58 710.514 721.639 0.0601739146 +71194.51 654.751 664.6 0.0429185275 +72257.52 601.792 610.658 0.0375179957 +73332.56 555.216 563.567 0.0431752244 +74469.53 510.172 517.913 0.0364431063 +75659.49 469.4625 477.1045 0.0168263187 +76911.58 431.0921 438.7035 0.019735881 +78251.59 396.0939 403.7677 0.016451778 +79723.55 363.6333 371.5357 0.0130284688 +81403.61 334.0724 342.1144 0.0125133529 +83261.58 306.0723 314.3258 0.0196243726 +85297.54 281.2729 289.756 0.0131316412 +88649.52 259.0544 267.6552 0.0199127095 +92010.58 237.3741 246.206 0.0150983443 +95329.51 217.1834 226.122 0.0193886565 +98735.78 198.6767 207.7005 0.00931584671 +102141.59 182.4847 191.5394 0.0180694217 +105751.57 165.4123 174.4647 0.0104594933 +109340.59 151.0221 160.1264 0.0100321483 +112933.60 137.8985 146.8193 0.0024333105 +116517.50 125.9074 134.7159 0.0058042226 +120187.52 114.3102 122.9462 0.00671833313 +123767.50 104.0359 112.4963 0.004238042 +127259.52 94.8967 103.165 0.0045033321 +130750.57 86.3729 94.4158 0.00450732737 +134203.56 78.5408 86.3492 0.00476822818 +137561.53 71.4814 79.0376 0.00402541923 +140832.60 64.9578 72.2311 0.00431381502 +143351.56 61.9449 69.0981 0.00392542991 +145431.49 60.3043 67.3873 0.00186037631 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c4-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c4-checkpoint.dat new file mode 100644 index 0000000..59e6cd3 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-11-08_p2_c4-checkpoint.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38934.53 30507.1 27035.86 0.666663333 +39863.54 30494.4 27032.51 0.970097933 +40940.59 26928.86 24073.52 1.77441821 +41970.59 21638.21 19636.27 1.85094841 +42982.55 17681.79 16285.99 3.23006037 +43995.73 14668.98 13667.73 1.11229942 +45004.56 12244.58 11527.3 0.644049688 +46288.54 10155.44 9684.46 0.238830484 +47218.62 8609.02 8291.81 0.412662089 +48148.51 7332.93 7132.44 0.554472723 +49077.63 6350.02 6224.92 0.210142809 +50032.55 5502.52 5436.69 0.420107129 +50982.52 4818.323 4792.623 0.137113457 +51951.56 4232.932 4235.608 0.114366079 +52882.57 3745.201 3768.2 0.193463175 +53812.57 3332.425 3368.212 0.118387499 +54742.58 2979.443 3022.922 0.0872444841 +55672.59 2674.972 2723.484 0.133380658 +56603.51 2410.869 2462.172 0.130811314 +57532.56 2179.089 2231.178 0.122831592 +58462.60 1979.585 2030.566 0.0949968421 +59392.61 1802.581 1852.072 0.118412837 +60352.57 1644.296 1691.49 0.125713961 +61332.49 1510.009 1554.519 0.0583000858 +62274.58 1372.28 1413.955 0.0416713331 +63247.51 1260.324 1299.193 0.0367980978 +64222.59 1159.406 1195.836 0.0372880678 +65198.64 1068.754 1102.816 0.0397290825 +66174.57 981.658 1013.393 0.027204779 +67163.57 904.53 934.247 0.0315927207 +68162.57 835.639 863.499 0.0559365712 +69173.58 770.926 797.07 0.0404722127 +70191.59 710.473 735.312 0.0481414582 +71225.71 654.81 678.49 0.0442718872 +72287.59 601.814 624.335 0.055285622 +73363.56 555.196 577.035 0.0260096136 +74500.60 510.114 531.111 0.0402106951 +75690.62 469.4529 489.8329 0.00788600025 +76942.62 431.1011 450.9182 0.0132565456 +78282.55 396.0887 415.4261 0.0159470687 +79754.56 363.6247 382.5998 0.0152864646 +81434.60 334.0349 352.5461 0.0107586709 +83292.55 306.0665 324.16 0.0149445642 +85327.51 281.2312 298.9942 0.0147775505 +88680.60 259.01 276.3715 0.0131607371 +92041.62 237.3601 254.2111 0.0112396174 +95360.59 217.1492 233.586 0.0133259146 +98766.53 198.6266 214.6168 0.018019323 +102172.63 182.4674 197.9668 0.011365562 +105782.61 165.3981 180.3015 0.00781952684 +109371.58 150.994 165.4945 0.0176975987 +112964.61 137.8773 151.7475 0.00506211418 +116547.50 125.8857 139.2356 0.00501437932 +120217.56 114.2927 127.0615 0.00247891105 +123797.50 104.0221 116.2464 0.00386574702 +127290.60 94.8854 106.5901 0.00332400361 +130781.62 86.3553 97.5437 0.00447448321 +134234.59 78.5401 89.1884 0.00257371327 +137592.53 71.4794 81.6282 0.00347793042 +140863.60 64.949 74.5971 0.00389987179 +143382.60 61.9345 71.3497 0.00376311042 +145462.61 60.3052 69.5877 0.00547366422 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p0_c1-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p0_c1-checkpoint.dat new file mode 100644 index 0000000..ab91512 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p0_c1-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +41996.52 18736.18 25480.67 26.8026232 +49561.60 13556.51 18154.65 1.55719299 +52019.41 11257.92 14958.37 1.64079554 +54442.59 9484.38 12504.09 1.7455343 +57045.72 8066.23 10545.95 2.26888739 +59618.41 6860.92 8898.62 3.63765859 +62164.62 5908.44 7605.77 0.861748223 +64611.59 5176.63 6611.22 1.55549349 +76093.58 4252.251 5377.106 0.320000625 +78298.43 3866.932 4858.837 0.516906278 +80508.43 3503.256 4372.911 0.197638306 +82738.41 3177.796 3939.663 0.688334294 +84948.42 2887.321 3555.976 0.523994656 +87182.59 2628.482 3215.129 0.181148834 +89422.60 2399.263 2914.656 0.0772683635 +91640.57 2194.897 2648.008 0.253999213 +93862.58 2013.557 2412.834 0.13939297 +96078.43 1849.628 2201.007 0.101951459 +98321.61 1698.803 2007.726 0.123249341 +100585.73 1563.438 1835.643 0.168932235 +102842.55 1442.144 1681.816 0.146247735 +105088.45 1330.501 1540.124 0.0268774999 +107336.49 1227.822 1411.616 0.0296378137 +109598.42 1134.152 1295.394 0.0429930227 +111860.59 1048.552 1189.787 0.0580870037 +114133.60 970.845 1094.734 0.0349342239 +116428.46 895.962 1003.979 0.0376417322 +118735.75 829.023 923.428 0.0398697881 +121090.60 765.61 847.837 0.0202509259 +123452.57 709.027 781.078 0.0153492671 +125879.42 653.948 716.58 0.0286006993 +128361.59 603.307 657.856 0.0255812431 +130909.45 556.86 604.436 0.0218265893 +133550.57 514.441 556.19 0.0253771551 +136286.47 473.4636 510.01 0.0404722127 +139110.61 435.6499 467.4362 0.012415152 +142198.42 401.2786 429.1596 0.00534265851 +145390.60 369.1071 393.5674 0.00766054828 +149879.54 339.341 360.8182 0.0104266965 +153748.44 311.6814 330.565 0.00887580982 +157738.42 286.3559 302.9877 0.00452117241 +161819.44 263.1666 277.8586 0.0134923682 +166053.50 241.5362 254.5173 0.00953734764 +170408.44 221.4569 232.9131 0.00376948272 +174820.58 202.9574 213.0911 0.00798179178 +179358.48 186.0784 195.0241 0.00987466455 +183985.67 169.991 177.8883 0.00838933847 +188683.56 155.04 162.0794 0.0119934982 +193314.63 141.491 147.6501 0.00449544214 +198003.49 129.0281 134.4957 0.00335276006 +202629.43 117.8197 122.69 0.00375765885 +207328.45 107.067 111.4004 0.00313113398 +211950.60 97.5694 101.4599 0.00339838197 +216571.58 88.7547 92.2667 0.00451009978 +221108.48 81.057 84.2508 0.0033430525 +225640.58 73.7603 76.679 0.00343511281 +230235.76 65.8953 68.5408 0.00144775689 +233926.42 62.8157 65.3648 0.0017538529 +237015.63 61.1814 63.6768 0.00247709507 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-checkpoint.dat new file mode 100644 index 0000000..553bd7a --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47429.43 15258.68 1786.369 0.100194311 +50520.61 13504.26 18089.98 2.6090918 +52978.42 11198.9 14880.05 1.26919266 +55398.43 9443.97 12448.96 1.94237998 +58002.60 8045.22 10516.72 2.37127814 +60571.58 6848.3 8880.77 0.67335726 +63118.43 5901.73 7592.15 2.80614504 +65569.45 5171.9 6604.7 0.546626015 +77043.58 4275.113 5408.357 0.505236677 +79253.59 3873.155 4867.514 0.230318041 +81463.61 3504.802 4375.344 0.14703877 +83693.53 3176.563 3938.62 0.13303383 +85898.43 2885.492 3553.332 0.67339112 +88138.44 2626.377 3211.951 0.4219276 +90381.61 2396.888 2911.338 0.236278649 +92593.58 2192.556 2644.987 0.47391993 +94818.43 2011.649 2410.311 0.150648266 +97033.55 1847.476 2198.38 0.0468828327 +99279.41 1696.829 2005.268 0.0905295532 +101551.59 1561.777 1833.652 0.109597445 +103802.60 1440.589 1679.939 0.0798805358 +106041.60 1329.173 1538.574 0.025385035 +108293.62 1226.502 1410.203 0.0442052033 +110553.62 1132.884 1293.858 0.0390845238 +112813.64 1047.256 1188.323 0.027204779 +115093.49 969.636 1093.241 0.029847948 +117383.62 894.871 1002.571 0.0259788375 +119693.63 827.933 922.187 0.0287419554 +122043.65 764.589 846.636 0.019089264 +124409.42 708.052 779.958 0.0288374756 +126839.43 652.997 715.514 0.0259306768 +129320.59 602.384 656.879 0.0238516247 +131868.45 556.039 603.616 0.0282559728 +134510.58 513.718 555.319 0.0245947149 +137243.64 472.7162 509.183 0.034235946 +140206.57 434.8821 466.6225 0.00563959218 +143255.51 400.6105 428.4284 0.00730780405 +147490.57 367.9592 392.394 0.0727305988 +150833.58 338.4427 359.8347 0.00988539326 +154703.48 310.6855 329.4805 0.00616319722 +158693.51 285.3618 301.929 0.0064591021 +162776.60 262.2106 276.8027 0.00590093213 +167012.66 240.6378 253.5383 0.00542411283 +171363.48 220.6038 232.0054 0.00496225755 +175780.58 202.1383 212.2074 0.00462644572 +180317.44 185.3248 194.231 0.00765506368 +184943.63 169.3092 177.1596 0.00724458418 +189642.61 154.4076 161.4105 0.00719061889 +194274.51 140.8664 147.0005 0.00228582589 +198960.58 128.4866 133.9218 0.00362436201 +203588.48 117.3126 122.1592 0.00240333102 +208286.49 106.6189 110.9337 0.00330771825 +212907.44 97.1621 101.0341 0.00309983871 +217531.58 88.3983 91.8912 0.00253298243 +222063.57 80.7367 83.9203 0.00286373881 +226598.43 73.483 76.3943 0.00299349294 +231193.49 65.644 68.2777 0.00195473783 +234883.66 62.5857 65.1319 0.00212814473 +237974.52 60.9686 63.4605 0.0026124701 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-original-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-original-checkpoint.dat new file mode 100644 index 0000000..b9971aa --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c1-original-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47429.43 1525.868 1786.369 0.100194311 +50520.61 13504.26 18089.98 2.6090918 +52978.42 11198.9 14880.05 1.26919266 +55398.43 9443.97 12448.96 1.94237998 +58002.60 8045.22 10516.72 2.37127814 +60571.58 6848.3 8880.77 0.67335726 +63118.43 5901.73 7592.15 2.80614504 +65569.45 5171.9 6604.7 0.546626015 +77043.58 4275.113 5408.357 0.505236677 +79253.59 3873.155 4867.514 0.230318041 +81463.61 3504.802 4375.344 0.14703877 +83693.53 3176.563 3938.62 0.13303383 +85898.43 2885.492 3553.332 0.67339112 +88138.44 2626.377 3211.951 0.4219276 +90381.61 2396.888 2911.338 0.236278649 +92593.58 2192.556 2644.987 0.47391993 +94818.43 2011.649 2410.311 0.150648266 +97033.55 1847.476 2198.38 0.0468828327 +99279.41 1696.829 2005.268 0.0905295532 +101551.59 1561.777 1833.652 0.109597445 +103802.60 1440.589 1679.939 0.0798805358 +106041.60 1329.173 1538.574 0.025385035 +108293.62 1226.502 1410.203 0.0442052033 +110553.62 1132.884 1293.858 0.0390845238 +112813.64 1047.256 1188.323 0.027204779 +115093.49 969.636 1093.241 0.029847948 +117383.62 894.871 1002.571 0.0259788375 +119693.63 827.933 922.187 0.0287419554 +122043.65 764.589 846.636 0.019089264 +124409.42 708.052 779.958 0.0288374756 +126839.43 652.997 715.514 0.0259306768 +129320.59 602.384 656.879 0.0238516247 +131868.45 556.039 603.616 0.0282559728 +134510.58 513.718 555.319 0.0245947149 +137243.64 472.7162 509.183 0.034235946 +140206.57 434.8821 466.6225 0.00563959218 +143255.51 400.6105 428.4284 0.00730780405 +147490.57 367.9592 392.394 0.0727305988 +150833.58 338.4427 359.8347 0.00988539326 +154703.48 310.6855 329.4805 0.00616319722 +158693.51 285.3618 301.929 0.0064591021 +162776.60 262.2106 276.8027 0.00590093213 +167012.66 240.6378 253.5383 0.00542411283 +171363.48 220.6038 232.0054 0.00496225755 +175780.58 202.1383 212.2074 0.00462644572 +180317.44 185.3248 194.231 0.00765506368 +184943.63 169.3092 177.1596 0.00724458418 +189642.61 154.4076 161.4105 0.00719061889 +194274.51 140.8664 147.0005 0.00228582589 +198960.58 128.4866 133.9218 0.00362436201 +203588.48 117.3126 122.1592 0.00240333102 +208286.49 106.6189 110.9337 0.00330771825 +212907.44 97.1621 101.0341 0.00309983871 +217531.58 88.3983 91.8912 0.00253298243 +222063.57 80.7367 83.9203 0.00286373881 +226598.43 73.483 76.3943 0.00299349294 +231193.49 65.644 68.2777 0.00195473783 +234883.66 62.5857 65.1319 0.00212814473 +237974.52 60.9686 63.4605 0.0026124701 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-checkpoint.dat new file mode 100644 index 0000000..9e1bf32 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47520.59 15248.38 1469.515 0.0476707457 +50611.56 13500.53 13037.23 1.22629931 +53068.41 11194.76 10860.3 1.02381639 +55488.44 9439.58 9187.28 0.411533717 +58093.56 8043.56 7850.64 0.558068096 +60662.58 6847.34 6699.41 0.419392418 +63208.43 5900.75 5783.01 0.388702971 +65660.60 5171.57 5073.45 0.271753565 +77133.59 4277.59 4208.436 0.115639094 +79343.55 3873.791 3808.641 0.0572791411 +81553.57 3504.906 3443.349 0.0810117275 +83783.58 3176.483 3117.285 0.0702602306 +85988.43 2885.412 2827.988 0.0741458023 +88228.43 2626.177 2569.807 0.0653306972 +90472.61 2396.806 2341.269 0.0780954544 +92683.58 2192.382 2137.687 0.0705839925 +94908.43 2011.603 1957.215 0.0631070519 +97123.60 1847.469 1793.41 0.0694694177 +99370.61 1696.831 1643.417 0.0734853727 +101642.58 1561.737 1508.926 0.024503061 +103893.64 1440.609 1388.543 0.0136418474 +106132.56 1329.073 1277.636 0.0331722776 +108384.65 1226.499 1175.956 0.0305352256 +110644.63 1132.814 1083.305 0.024989998 +112904.68 1047.257 998.851 0.0202212759 +115183.53 969.561 922.526 0.0234606053 +117474.65 894.75 849.395 0.0280446073 +119784.67 827.879 784.114 0.0321309819 +122134.49 764.516 722.667 0.0192898937 +124500.58 707.992 668.149 0.0262087772 +126930.59 652.951 615.184 0.0260844781 +129411.60 602.329 566.787 0.0259634358 +131958.42 555.99 522.637 0.0279660508 +134601.58 513.69 482.3778 0.0111200719 +137334.64 472.6813 443.8211 0.00497483668 +140311.65 434.8452 408.1987 0.0060762653 +143346.43 400.5505 375.9903 0.00513039959 +147576.45 367.9455 345.5963 0.0524017271 +150923.59 338.3854 317.9631 0.00882094099 +154794.64 310.6317 292.1072 0.00882133777 +158784.55 285.2874 268.5482 0.00722744768 +162867.45 262.135 247.0052 0.00810283901 +167103.51 240.5715 226.9669 0.00704904249 +171453.56 220.5513 208.3492 0.00591066832 +175871.59 202.0885 191.1903 0.00655293827 +180408.53 185.2795 175.5492 0.00616895453 +185034.63 169.2513 160.6382 0.00440408901 +189733.69 154.3689 146.7793 0.00318449368 +194365.83 140.8305 134.1576 0.00159499216 +199051.58 128.448 122.6229 0.0029814426 +203679.44 117.2808 112.1975 0.00210831686 +208377.42 106.5909 102.2186 0.00231170932 +212998.44 97.1349 93.3959 0.00272194783 +217622.66 88.3763 85.2134 0.00281851024 +222154.64 80.7138 78.0529 0.00197205477 +226688.43 73.4658 71.2783 0.0013118689 +231283.48 65.6267 63.9555 0.00272488532 +234974.51 62.5733 61.1145 0.0021691012 +238065.72 60.957 59.5923 0.00200024998 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-original-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-original-checkpoint.dat new file mode 100644 index 0000000..b2627fb --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c2-original-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47520.59 1524.838 1469.515 0.0476707457 +50611.56 13500.53 13037.23 1.22629931 +53068.41 11194.76 10860.3 1.02381639 +55488.44 9439.58 9187.28 0.411533717 +58093.56 8043.56 7850.64 0.558068096 +60662.58 6847.34 6699.41 0.419392418 +63208.43 5900.75 5783.01 0.388702971 +65660.60 5171.57 5073.45 0.271753565 +77133.59 4277.59 4208.436 0.115639094 +79343.55 3873.791 3808.641 0.0572791411 +81553.57 3504.906 3443.349 0.0810117275 +83783.58 3176.483 3117.285 0.0702602306 +85988.43 2885.412 2827.988 0.0741458023 +88228.43 2626.177 2569.807 0.0653306972 +90472.61 2396.806 2341.269 0.0780954544 +92683.58 2192.382 2137.687 0.0705839925 +94908.43 2011.603 1957.215 0.0631070519 +97123.60 1847.469 1793.41 0.0694694177 +99370.61 1696.831 1643.417 0.0734853727 +101642.58 1561.737 1508.926 0.024503061 +103893.64 1440.609 1388.543 0.0136418474 +106132.56 1329.073 1277.636 0.0331722776 +108384.65 1226.499 1175.956 0.0305352256 +110644.63 1132.814 1083.305 0.024989998 +112904.68 1047.257 998.851 0.0202212759 +115183.53 969.561 922.526 0.0234606053 +117474.65 894.75 849.395 0.0280446073 +119784.67 827.879 784.114 0.0321309819 +122134.49 764.516 722.667 0.0192898937 +124500.58 707.992 668.149 0.0262087772 +126930.59 652.951 615.184 0.0260844781 +129411.60 602.329 566.787 0.0259634358 +131958.42 555.99 522.637 0.0279660508 +134601.58 513.69 482.3778 0.0111200719 +137334.64 472.6813 443.8211 0.00497483668 +140311.65 434.8452 408.1987 0.0060762653 +143346.43 400.5505 375.9903 0.00513039959 +147576.45 367.9455 345.5963 0.0524017271 +150923.59 338.3854 317.9631 0.00882094099 +154794.64 310.6317 292.1072 0.00882133777 +158784.55 285.2874 268.5482 0.00722744768 +162867.45 262.135 247.0052 0.00810283901 +167103.51 240.5715 226.9669 0.00704904249 +171453.56 220.5513 208.3492 0.00591066832 +175871.59 202.0885 191.1903 0.00655293827 +180408.53 185.2795 175.5492 0.00616895453 +185034.63 169.2513 160.6382 0.00440408901 +189733.69 154.3689 146.7793 0.00318449368 +194365.83 140.8305 134.1576 0.00159499216 +199051.58 128.448 122.6229 0.0029814426 +203679.44 117.2808 112.1975 0.00210831686 +208377.42 106.5909 102.2186 0.00231170932 +212998.44 97.1349 93.3959 0.00272194783 +217622.66 88.3763 85.2134 0.00281851024 +222154.64 80.7138 78.0529 0.00197205477 +226688.43 73.4658 71.2783 0.0013118689 +231283.48 65.6267 63.9555 0.00272488532 +234974.51 62.5733 61.1145 0.0021691012 +238065.72 60.957 59.5923 0.00200024998 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-checkpoint.dat new file mode 100644 index 0000000..52d4a38 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47611.60 15238.75 1213.462 0.0507700699 +50702.61 13493.74 9407.98 0.924099562 +53158.42 11191.5 7934.76 0.552304264 +55578.43 9436.2 6792.67 0.367437069 +58183.61 8040.49 5865 0.442944692 +60753.58 6846.16 5058.73 0.488477226 +63298.43 5899.81 4407.263 0.196122666 +65751.57 5171.46 3899.808 0.114217337 +77223.58 4279.466 3269.974 0.131462542 +79433.59 3874.397 2977.889 0.0870339014 +81644.65 3505.164 2708.881 0.0765826351 +83873.54 3176.367 2467.23 0.070639932 +86078.42 2885.264 2251.291 0.106409116 +88318.44 2625.906 2057.176 0.0588081627 +90563.61 2396.641 1884.384 0.0654400489 +92773.54 2192.169 1729.222 0.0554400577 +94998.43 2011.637 1591.233 0.05184689 +97214.64 1847.401 1464.251 0.0377743299 +99461.57 1697.03 1347.957 0.0342943144 +101733.62 1561.698 1243.432 0.0194319325 +103984.67 1440.532 1148.898 0.0284534708 +106223.60 1329.027 1061.567 0.0231969826 +108475.71 1226.459 980.99 0.0202484567 +110735.79 1132.795 907.32 0.0235796522 +112995.79 1047.213 839.785 0.0304384625 +115274.65 969.485 778.425 0.0271016605 +117565.74 894.66 719.403 0.0256924113 +119875.75 827.798 666.59 0.0121655251 +122225.64 764.436 616.528 0.020774985 +124591.58 707.967 571.993 0.0125737822 +127021.58 652.88 528.525 0.0191963538 +129502.60 602.344 488.51 0.0146615142 +132048.45 556.034 451.9911 0.00995334115 +134692.57 513.674 418.6712 0.00823626129 +137425.68 472.6361 386.4945 0.00509165985 +140407.05 434.8206 356.7131 0.00849523396 +143437.43 400.4965 329.6634 0.00709957745 +147662.65 367.9015 304.0167 0.0462489027 +151014.55 338.3397 280.6148 0.00965069946 +154885.76 310.5567 258.6339 0.0086907422 +158875.75 285.2308 238.5515 0.00982776679 +162958.40 262.0745 220.1269 0.00449099098 +167193.55 240.5153 202.9289 0.00935355547 +171543.56 220.5 186.8991 0.00863649234 +175962.63 202.0258 172.047 0.00734982993 +180499.49 185.252 158.4607 0.00198015151 +185125.67 169.2167 145.4815 0.00160156174 +189824.57 154.3288 133.4245 0.00286443712 +194456.55 140.7894 122.3611 0.00302142351 +199142.50 128.4135 112.2113 0.00284270997 +203769.44 117.2494 103.0191 0.00324175878 +208468.45 106.561 94.1868 0.00296580512 +213088.44 97.1129 86.3561 0.0022246348 +217713.66 88.3529 79.0652 0.00209666402 +222245.72 80.6983 72.6738 0.00258766304 +226778.42 73.4493 66.6047 0.00214032708 +231373.49 65.6124 60.0282 0.00117303026 +235065.63 62.5656 57.4707 0.00215429803 +238156.44 60.9446 56.1093 0.00220476756 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-original-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-original-checkpoint.dat new file mode 100644 index 0000000..59df07e --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c4-original-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47611.60 1523.875 1213.462 0.0507700699 +50702.61 13493.74 9407.98 0.924099562 +53158.42 11191.5 7934.76 0.552304264 +55578.43 9436.2 6792.67 0.367437069 +58183.61 8040.49 5865 0.442944692 +60753.58 6846.16 5058.73 0.488477226 +63298.43 5899.81 4407.263 0.196122666 +65751.57 5171.46 3899.808 0.114217337 +77223.58 4279.466 3269.974 0.131462542 +79433.59 3874.397 2977.889 0.0870339014 +81644.65 3505.164 2708.881 0.0765826351 +83873.54 3176.367 2467.23 0.070639932 +86078.42 2885.264 2251.291 0.106409116 +88318.44 2625.906 2057.176 0.0588081627 +90563.61 2396.641 1884.384 0.0654400489 +92773.54 2192.169 1729.222 0.0554400577 +94998.43 2011.637 1591.233 0.05184689 +97214.64 1847.401 1464.251 0.0377743299 +99461.57 1697.03 1347.957 0.0342943144 +101733.62 1561.698 1243.432 0.0194319325 +103984.67 1440.532 1148.898 0.0284534708 +106223.60 1329.027 1061.567 0.0231969826 +108475.71 1226.459 980.99 0.0202484567 +110735.79 1132.795 907.32 0.0235796522 +112995.79 1047.213 839.785 0.0304384625 +115274.65 969.485 778.425 0.0271016605 +117565.74 894.66 719.403 0.0256924113 +119875.75 827.798 666.59 0.0121655251 +122225.64 764.436 616.528 0.020774985 +124591.58 707.967 571.993 0.0125737822 +127021.58 652.88 528.525 0.0191963538 +129502.60 602.344 488.51 0.0146615142 +132048.45 556.034 451.9911 0.00995334115 +134692.57 513.674 418.6712 0.00823626129 +137425.68 472.6361 386.4945 0.00509165985 +140407.05 434.8206 356.7131 0.00849523396 +143437.43 400.4965 329.6634 0.00709957745 +147662.65 367.9015 304.0167 0.0462489027 +151014.55 338.3397 280.6148 0.00965069946 +154885.76 310.5567 258.6339 0.0086907422 +158875.75 285.2308 238.5515 0.00982776679 +162958.40 262.0745 220.1269 0.00449099098 +167193.55 240.5153 202.9289 0.00935355547 +171543.56 220.5 186.8991 0.00863649234 +175962.63 202.0258 172.047 0.00734982993 +180499.49 185.252 158.4607 0.00198015151 +185125.67 169.2167 145.4815 0.00160156174 +189824.57 154.3288 133.4245 0.00286443712 +194456.55 140.7894 122.3611 0.00302142351 +199142.50 128.4135 112.2113 0.00284270997 +203769.44 117.2494 103.0191 0.00324175878 +208468.45 106.561 94.1868 0.00296580512 +213088.44 97.1129 86.3561 0.0022246348 +217713.66 88.3529 79.0652 0.00209666402 +222245.72 80.6983 72.6738 0.00258766304 +226778.42 73.4493 66.6047 0.00214032708 +231373.49 65.6124 60.0282 0.00117303026 +235065.63 62.5656 57.4707 0.00215429803 +238156.44 60.9446 56.1093 0.00220476756 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c5-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c5-checkpoint.dat new file mode 100644 index 0000000..8489143 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c5-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47702.59 15229.03 1851.737 0.0452559388 +50793.56 13486.27 16394.25 1.87201763 +53248.42 11188.02 13568.83 0.85510818 +55668.43 9433.64 11419.3 0.508527285 +58273.61 8038.54 9718.17 0.459575891 +60844.58 6845.5 8267.94 0.421710801 +63388.43 5899.08 7122.2 0.461735855 +65842.60 5170.81 6241.27 0.201022387 +77313.54 4281.823 5168.841 0.273146298 +79523.59 3875.231 4678.52 0.0749266308 +81735.76 3505.443 4233.725 0.100451481 +83963.57 3176.481 3837.769 0.102950959 +86168.43 2885.232 3487.449 0.102298094 +88408.44 2625.736 3175.658 0.0774054262 +90654.65 2396.415 2900.313 0.0542411283 +92863.57 2192.014 2654.608 0.0557458519 +95088.43 2011.509 2437.733 0.0599007512 +97305.76 1847.23 2240.68 0.0643428318 +99552.57 1696.896 2060.146 0.0603191512 +101824.66 1561.562 1898.985 0.0906449116 +104075.80 1440.382 1753.856 0.0909857132 +106314.65 1328.946 1620.298 0.0627502988 +108566.41 1226.425 1497.124 0.0209857094 +110826.46 1132.743 1385.441 0.0213752193 +113086.48 1047.149 1283.485 0.0227266364 +115365.73 969.426 1191.107 0.0189235303 +117656.46 894.684 1102.401 0.0136711375 +119966.47 827.783 1023.124 0.0206494552 +122316.44 764.38 948.17 0.0196468827 +124682.61 707.971 881.468 0.0234008547 +127112.59 652.827 816.521 0.0179136819 +129593.47 602.327 756.822 0.0219453868 +132138.45 556.012 702.221 0.0233858932 +134783.63 513.623 652.229 0.0275481397 +137516.43 472.5798 603.978 0.03706211 +140499.42 434.7835 559.291 0.0302803567 +143528.42 400.4592 518.563 0.0186574382 +147748.49 367.8716 479.6998 0.0700276802 +151105.74 338.2964 444.265 0.00504579032 +154976.52 310.4995 410.9223 0.00737570336 +158966.62 285.1992 380.3627 0.00721255849 +163048.45 262.0291 352.2129 0.00538600037 +167283.50 240.4677 325.8579 0.00732454777 +171634.53 220.4545 301.1851 0.00596900327 +176054.51 201.9761 278.2389 0.00434614772 +180590.57 185.2084 257.1889 0.00731771822 +185216.55 169.1819 236.9191 0.00906912344 +189915.73 154.282 217.981 0.00823650411 +194547.44 140.7471 200.485 0.0106808239 +199233.65 128.3782 184.3399 0.00835158668 +203860.60 117.2146 169.6018 0.00703676062 +208558.42 106.5327 155.289 0.00269814751 +213178.44 97.0938 142.5332 0.00210618138 +217804.66 88.334 130.5863 0.00249419326 +222336.56 80.6851 120.0129 0.00253160028 +226868.47 73.434 109.8898 0.00147512711 +231463.49 65.5991 98.8125 0.00266176633 +235156.43 62.5517 94.4596 0.00229434086 +238247.44 60.9281 92.1349 0.00195166596 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c6-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c6-checkpoint.dat new file mode 100644 index 0000000..afbf658 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-06_p2_c6-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47793.59 15219.33 1719.351 0.0578869588 +50884.64 13480.66 14319.19 1.7778892 +53338.42 11183.14 11923.11 0.691295885 +55758.43 9430.21 10092.72 0.737672014 +58363.57 8037.32 8632.7 0.754055701 +60935.74 6844.79 7379.55 0.434798804 +63478.43 5899.13 6385.43 0.537038174 +65933.56 5170.51 5617.86 0.29906521 +77403.59 4284.228 4680.639 0.151614313 +79613.60 3876.047 4247.419 0.0931713475 +81826.45 3505.819 3853.236 0.0672041665 +84053.58 3176.744 3502 0.103797881 +86258.42 2885.15 3190.344 0.0833930453 +88498.44 2625.609 2912.131 0.0578869588 +90745.73 2396.32 2665.706 0.0564127645 +92953.58 2191.865 2445.343 0.0668887135 +95178.43 2011.217 2250.22 0.0781152994 +97396.44 1847.012 2072.37 0.0876013699 +99643.62 1696.584 1909.175 0.0642066975 +101915.70 1561.415 1763.074 0.0534265851 +104166.43 1440.336 1631.385 0.0972959403 +106405.78 1328.941 1509.187 0.0295313393 +108657.41 1226.362 1397.381 0.0369716107 +110917.43 1132.728 1295.14 0.0270554985 +113177.44 1047.068 1201.68 0.0124096736 +115456.45 969.396 1116.867 0.0264215821 +117747.42 894.653 1035.197 0.0209785605 +120057.43 827.748 962.116 0.0228997817 +122407.44 764.387 892.923 0.0191337398 +124773.62 707.946 831.144 0.0183412104 +127203.63 652.79 770.911 0.0333601559 +129683.48 602.256 715.466 0.0253061257 +132229.45 555.879 664.621 0.0221110832 +134873.55 513.578 618.074 0.0107888832 +137607.44 472.5417 573.065 0.0201121854 +140590.57 434.7474 531.258 0.0212508823 +143618.43 400.4457 492.945 0.00879659025 +147839.40 367.8655 456.5886 0.010477786 +151196.51 338.265 423.3827 0.0120897064 +155067.44 310.4663 391.9963 0.00657426802 +159057.42 285.1454 363.2376 0.00640343658 +163138.45 261.9736 336.7056 0.00824645378 +167374.47 240.4183 311.8406 0.00795260963 +171725.74 220.4104 288.5086 0.00678851972 +176145.79 201.9501 266.8114 0.00656384034 +180681.57 185.1475 246.8663 0.00688774274 +185307.43 169.1403 227.6223 0.00890847911 +190006.61 154.2423 209.643 0.0112222992 +194638.43 140.7059 193.0114 0.00755804207 +199324.50 128.3436 177.6548 0.0082277579 +203951.53 117.179 163.5939 0.00439420072 +208648.46 106.512 149.9523 0.00309854805 +213268.48 97.0719 137.7846 0.00261992366 +217895.67 88.3197 126.364 0.00232808935 +222427.41 80.6663 116.2478 0.00203371581 +226959.43 73.4169 106.5546 0.00355021126 +231554.49 65.5874 95.9447 0.0018817545 +235247.43 62.5441 91.7755 0.00401061093 +238338.45 60.9205 89.5391 0.0014862705 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p0_c5-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p0_c5-checkpoint.dat new file mode 100644 index 0000000..f942f26 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p0_c5-checkpoint.dat @@ -0,0 +1,50 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68243.52 17547.24 10645.95 1.11939716 +70848.45 13327.5 8082.02 0.421141306 +73049.42 11425.1 6924.9 0.267581763 +75248.43 9840.58 5961.91 0.298814324 +77446.44 8571.3 5191.17 0.352718018 +79642.61 7466.51 4517.742 0.175566512 +81838.42 6550.91 3961.221 0.0611138282 +84035.76 5780.2 3492.448 0.0712713126 +86236.48 5132.18 3098.785 0.0719478978 +88493.50 4559.681 2751.18 0.0656810475 +90698.43 4060.239 2446.624 0.10546279 +92917.43 3630.214 2184.117 0.0724851709 +95138.45 3253.766 1954.678 0.0994967336 +97368.42 2923.121 1752.822 0.0761813626 +99598.43 2628.189 1571.237 0.0392950379 +101864.48 2370.209 1413.886 0.0334424879 +104099.45 2150.51 1279.565 0.0343292878 +106328.42 1957.734 1161.777 0.0316243577 +108553.52 1786.956 1057.598 0.028975852 +110788.45 1635.673 965.337 0.019851952 +113018.42 1502.172 884.481 0.0305434117 +115253.51 1379.018 809.602 0.020238577 +117478.43 1267.204 741.844 0.0370189141 +119739.41 1165.813 680.502 0.0189103146 +122002.62 1073.924 625.16 0.013114877 +124273.51 991.211 575.56 0.0177763888 +126583.52 912.375 528.438 0.0243228288 +128898.41 842.338 455.1977 0.00679418869 +131218.43 776.637 419.0191 0.00749459805 +133583.52 718.358 387.2687 0.0074431848 +135988.45 661.667 356.5208 0.00650814874 +138473.50 609.633 328.4211 0.00493649673 +141003.52 562.227 302.8597 0.00775377327 +143599.45 518.941 279.7202 0.00431462629 +146288.42 477.0273 257.6061 0.00705187918 +149063.52 438.6107 237.3114 0.00839785687 +151968.41 403.4895 218.7956 0.00822702863 +155553.51 370.3147 201.4766 0.0101392307 +158956.45 340.8307 186.0619 0.0110203902 +162753.50 312.8931 171.509 0.00826559133 +166688.45 287.1451 158.1919 0.0241910934 +170714.50 263.6465 145.9613 0.0218133216 +174903.48 241.7881 134.6218 0.0270143665 +179213.58 221.5209 124.1092 0.0177424914 +183593.49 202.8766 114.4851 0.0133240009 +188110.51 185.8901 105.6596 0.0156730342 +192634.49 169.7869 97.2324 0.0274769722 +197344.51 154.7201 89.4848 0.00948451369 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p1_c5-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p1_c5-checkpoint.dat new file mode 100644 index 0000000..56bdf77 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p1_c5-checkpoint.dat @@ -0,0 +1,53 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68722.64 17531.17 10633.29 0.857257254 +71328.41 13330.84 8083.26 0.26540535 +73528.42 11425.14 6924.97 0.183874958 +75724.51 9840.4 5960.87 0.329863608 +77923.52 8571.17 5192.06 0.224588513 +80118.41 7466.74 4517.686 0.129020929 +82315.79 6550.96 3960.979 0.076973372 +84513.51 5780.21 3492.439 0.0787965735 +86765.65 5132.55 3099.327 0.0884878523 +88971.62 4559.758 2751.176 0.130155292 +91176.43 4060.378 2446.512 0.11531522 +93397.44 3630.101 2184.11 0.0870057469 +95616.45 3253.868 1954.44 0.0798122798 +97843.50 2923.319 1752.925 0.0657457223 +100073.51 2627.932 1571.225 0.0304055916 +102344.52 2370.234 1413.734 0.0277560804 +104578.41 2150.142 1279.449 0.0167600716 +106806.42 1957.363 1161.562 0.0310096759 +109033.64 1786.655 1057.449 0.0247163913 +111263.52 1635.455 965.314 0.0256593063 +113496.42 1502.113 884.469 0.0203199409 +115728.43 1378.845 809.441 0.018732325 +117957.44 1267.013 741.77 0.0177763888 +120218.41 1165.534 680.449 0.022020445 +122482.62 1073.671 625.031 0.0277290461 +124753.51 990.947 575.427 0.0196494275 +127064.48 912.183 528.317 0.0237507895 +129374.50 842.163 455.1186 0.00993498868 +131694.51 776.392 418.8698 0.00908713376 +134058.44 718.058 387.0787 0.00647618715 +136468.46 661.415 356.441 0.00712460525 +138948.43 609.401 328.2859 0.00928164856 +141483.52 561.961 302.7278 0.0101121709 +144078.46 518.647 279.5876 0.00618417335 +146763.50 476.7639 257.4781 0.00626490223 +149540.60 438.3446 237.1628 0.00518613536 +152446.45 403.1694 218.6274 0.00531450844 +156028.43 370.0706 201.3174 0.00643303972 +159433.53 340.3971 185.8325 0.00764362479 +163228.43 312.4427 171.2608 0.00988008097 +167164.33 286.6935 157.9546 0.0326457348 +171193.34 263.1844 145.7734 0.0271688056 +175379.29 241.3738 134.4808 0.0192866793 +179688.27 221.1137 123.907 0.0260614658 +184070.45 202.4894 114.3116 0.0282762091 +188598.43 185.5163 105.4609 0.0176286415 +193113.45 169.445 97.1176 0.0188802542 +197824.48 154.4099 89.3238 0.0241953715 +239658.44 65.544 81.2136 0.00253061257 +243377.42 62.4943 77.5486 0.00339470175 +246496.48 60.8736 75.6053 0.00243741667 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c4-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c4-checkpoint.dat new file mode 100644 index 0000000..9904da7 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c4-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69111.64 17522.11 9861.93 0.586182565 +71715.65 13331.76 7771.22 0.382047118 +73915.62 11426.3 6788.53 0.298345437 +76113.52 9840.3 5957.33 0.187643279 +78312.60 8572.26 5280.54 0.34473178 +80503.50 7466.49 4677.664 0.143862434 +82703.51 6550.33 4172.595 0.127978514 +84902.64 5780.82 3740.963 0.093520586 +87153.49 5132.31 3372.24 0.0529528092 +89358.41 4559.683 3042.403 0.0641880051 +91565.68 4060.427 2749.761 0.11051199 +93786.45 3630.169 2493.806 0.0336808551 +96005.61 3253.713 2266.833 0.0899227446 +98229.42 2923.285 2065.078 0.0714954544 +100458.44 2627.859 1881.941 0.0869994253 +102733.48 2370.278 1720.101 0.0485685083 +104963.50 2149.994 1579.488 0.0271219468 +107193.51 1957.334 1455.324 0.0406743162 +109422.64 1786.719 1344.2 0.0134907376 +111648.45 1635.149 1244.29 0.0230217289 +113883.50 1501.964 1155.932 0.0276694778 +116113.51 1378.807 1072.922 0.0238243573 +118346.44 1267.038 996.875 0.0368035324 +120603.49 1165.576 926.834 0.0106957936 +122868.42 1073.631 862.838 0.0154142791 +125142.63 990.873 804.578 0.0216240607 +127453.52 912.039 748.434 0.0188255146 +129763.50 842.003 697.959 0.0189446562 +132083.51 776.197 649.989 0.028193971 +134443.52 718.075 607.115 0.0360901649 +136853.49 661.307 564.678 0.0296243143 +139333.51 609.284 525.433 0.0234968083 +141872.64 561.804 488.9275 0.00636906587 +144465.65 518.484 455.3698 0.00801847866 +147148.42 476.6086 422.6897 0.00508340437 +149928.44 438.1829 392.2026 0.00868009217 +152835.65 403.0322 363.9594 0.00940446702 +156417.43 369.939 337.064 0.00517687164 +159822.61 340.1488 312.5609 0.00852812992 +163614.63 312.1894 289.3057 0.00986818119 +167553.52 286.431 267.6289 0.01097857 +171581.63 262.9144 247.6397 0.00728017857 +175767.40 241.1098 228.8628 0.00500159974 +180073.63 220.857 211.2895 0.00630277717 +184458.45 202.2376 194.9342 0.0102925216 +188985.63 185.3029 179.9113 0.00470329672 +193501.61 169.2214 165.5149 0.00538785672 +198213.64 154.2178 151.9436 0.00249879971 +202905.66 140.5998 139.5063 0.00259248915 +207545.68 128.2556 128.1234 0.00260844781 +212268.43 117.0334 117.6926 0.00252665787 +217035.69 106.3446 107.6666 0.00151129084 +221693.63 96.9118 98.7431 0.00163370744 +226318.41 88.1543 90.3949 0.00251575039 +230885.72 80.4994 83.0307 0.00234115356 +235421.63 73.2796 76.0459 0.00260940606 +240045.65 65.4661 68.4196 0.00206009709 +243765.66 62.4288 65.4323 0.00308236922 +246884.64 60.8183 63.8363 0.00217738375 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-checkpoint.dat new file mode 100644 index 0000000..d263d98 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-checkpoint.dat @@ -0,0 +1,50 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69202.48 17520.84 10633.15 0.526735228 +71806.46 13330.02 8083.52 0.310096759 +74006.47 11426.05 6925.46 0.166853229 +76203.52 9839.43 5960.91 0.283001767 +78403.53 8571.91 5191.59 0.258244071 +80593.49 7466.2 4517.542 0.128769562 +82793.51 6550.42 3961.591 0.0623610455 +84993.52 5780.65 3493.4 0.118718154 +87244.49 5132.39 3099.171 0.104932836 +89448.43 4559.319 2750.915 0.0749833315 +91656.43 4060.32 2446.493 0.0738383369 +93877.44 3630.208 2184.32 0.0968710483 +96096.45 3253.654 1954.577 0.0774603124 +98320.59 2923.388 1752.902 0.0642464007 +100548.43 2627.921 1571.247 0.0265348827 +102823.48 2370.267 1413.818 0.0470914005 +105053.61 2150.083 1279.219 0.0165196852 +107283.51 1957.399 1161.542 0.0343744091 +109513.48 1786.809 1057.476 0.0198595065 +111738.45 1635.268 965.177 0.0334080829 +113973.50 1501.975 884.303 0.0214499417 +116203.63 1378.794 809.457 0.0254578082 +118437.44 1267.019 741.72 0.0225831796 +120693.54 1165.532 680.3 0.0132664992 +122958.43 1073.595 624.967 0.0300349796 +125233.51 990.807 575.29 0.0203469899 +127543.49 911.976 528.262 0.0197888858 +129853.50 841.986 454.9896 0.00988352164 +132173.51 776.218 418.8509 0.00955766708 +134533.52 718.077 387.4529 0.00920483569 +136943.49 661.304 356.2949 0.0088073265 +139424.51 609.28 328.1681 0.00730130125 +141964.48 561.787 302.6048 0.0113408994 +144556.45 518.425 279.4792 0.00749373071 +147238.42 476.5708 257.3655 0.00936509477 +150019.44 438.1419 237.0645 0.0109281746 +152926.45 402.9776 218.559 0.00681909085 +156508.43 369.8981 201.2538 0.0091834634 +159913.53 340.1029 185.6822 0.00700399886 +163705.67 312.1318 171.1044 0.0106632078 +167644.52 286.3659 157.8232 0.0161825832 +171672.63 262.8695 145.5398 0.0178077511 +175858.40 241.0612 134.1819 0.026371367 +180163.62 220.8055 123.7169 0.0193728934 +184548.41 202.1957 114.094 0.0173476223 +189076.32 185.2645 105.3134 0.0164737367 +193592.61 169.1779 96.9867 0.0100020498 +198304.64 154.1816 89.2345 0.0107081744 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-original-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-original-checkpoint.dat new file mode 100644 index 0000000..3c4b561 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c5-original-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69202.48 17520.84 10633.15 0.526735228 +71806.46 13330.02 8083.52 0.310096759 +74006.47 11426.05 6925.46 0.166853229 +76203.52 9839.43 5960.91 0.283001767 +78403.53 8571.91 5191.59 0.258244071 +80593.49 7466.2 4517.542 0.128769562 +82793.51 6550.42 3961.591 0.0623610455 +84993.52 5780.65 3493.4 0.118718154 +87244.49 5132.39 3099.171 0.104932836 +89448.43 4559.319 2750.915 0.0749833315 +91656.43 4060.32 2446.493 0.0738383369 +93877.44 3630.208 2184.32 0.0968710483 +96096.45 3253.654 1954.577 0.0774603124 +98320.59 2923.388 1752.902 0.0642464007 +100548.43 2627.921 1571.247 0.0265348827 +102823.48 2370.267 1413.818 0.0470914005 +105053.61 2150.083 1279.219 0.0165196852 +107283.51 1957.399 1161.542 0.0343744091 +109513.48 1786.809 1057.476 0.0198595065 +111738.45 1635.268 965.177 0.0334080829 +113973.50 1501.975 884.303 0.0214499417 +116203.63 1378.794 809.457 0.0254578082 +118437.44 1267.019 741.72 0.0225831796 +120693.54 1165.532 680.3 0.0132664992 +122958.43 1073.595 624.967 0.0300349796 +125233.51 990.807 575.29 0.0203469899 +127543.49 911.976 528.262 0.0197888858 +129853.50 841.986 454.9896 0.00988352164 +132173.51 776.218 418.8509 0.00955766708 +134533.52 718.077 387.4529 0.00920483569 +136943.49 661.304 356.2949 0.0088073265 +139424.51 609.28 328.1681 0.00730130125 +141964.48 561.787 302.6048 0.0113408994 +144556.45 518.425 279.4792 0.00749373071 +147238.42 476.5708 257.3655 0.00936509477 +150019.44 438.1419 237.0645 0.0109281746 +152926.45 402.9776 218.559 0.00681909085 +156508.43 369.8981 201.2538 0.0091834634 +159913.53 340.1029 185.6822 0.00700399886 +163705.67 312.1318 171.1044 0.0106632078 +167644.52 286.3659 157.8232 0.0161825832 +171672.63 262.8695 145.5398 0.0178077511 +175858.40 241.0612 134.1819 0.026371367 +180163.62 220.8055 123.7169 0.0193728934 +184548.41 202.1957 114.094 0.0173476223 +189076.32 185.2645 105.3134 0.0164737367 +193592.61 169.1779 96.9867 0.0100020498 +198304.64 154.1816 89.2345 0.0107081744 +202996.46 140.5638 170.3103 0.00487862686 +207636.44 128.2193 155.6827 0.00322815737 +212358.43 117.0038 142.4359 0.0022558812 +217126.49 106.3233 129.7808 0.00254086599 +221784.64 96.8887 118.5919 0.0028929224 +226409.42 88.1337 108.1973 0.00177792013 +230976.48 80.4793 99.0692 0.00277776889 +235512.63 73.2576 90.4551 0.00261705942 +240136.48 65.4556 81.1004 0.00320062494 +243856.43 62.4204 77.4605 0.00167481342 +246975.68 60.8054 75.5125 0.00263153947 diff --git a/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c6-checkpoint.dat b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c6-checkpoint.dat new file mode 100644 index 0000000..27770b1 --- /dev/null +++ b/calib_data/_calib_data/.ipynb_checkpoints/calib2024-12-09_p2_c6-checkpoint.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69292.65 17520.29 19656.56 1.61593317 +71897.46 13329.87 15036.57 0.669186073 +74097.42 11426.25 12928.12 0.581515262 +76293.52 9840.18 11168.27 0.419297031 +78494.45 8573.23 9752.8 0.343220046 +80684.62 7466.19 8516.22 0.211092397 +82883.51 6549.74 7486.92 0.43099884 +85083.52 5780.36 6618.22 0.261074702 +87335.65 5131.58 5883.34 0.261610397 +89538.42 4559.213 5236.26 0.321309819 +91747.43 4060.127 4665.133 0.0629769799 +93968.44 3630.423 4173.45 0.0942974019 +96187.45 3253.643 3741.222 0.0939127254 +98411.63 2923.485 3361.152 0.0749639914 +100638.44 2627.989 3019.719 0.0639914057 +102913.49 2370.398 2721.683 0.0771368913 +105144.50 2150.018 2466.107 0.0854640275 +107373.47 1957.414 2241.697 0.0867415702 +109603.53 1786.751 2043.307 0.0685718601 +111829.41 1635.056 1866.836 0.0776942726 +114063.50 1501.934 1712.345 0.0871349528 +116294.51 1378.789 1568.2 0.0186547581 +118528.45 1267.018 1438.186 0.0256593063 +120783.50 1165.509 1320.18 0.0175499288 +123048.43 1073.589 1213.639 0.0144533733 +125323.52 990.824 1117.998 0.0338171554 +127633.52 911.964 1027.029 0.0181356003 +129943.62 842.012 946.656 0.025502941 +132264.51 776.234 871.367 0.0188706121 +134623.52 718 805.082 0.0258379566 +137033.50 661.287 740.723 0.0231969826 +139515.66 609.265 682.061 0.0216540989 +142055.67 561.725 628.651 0.0201221271 +144647.43 518.364 580.08 0.025019992 +147328.42 476.5293 533.61 0.0296984848 +150110.60 438.118 490.7403 0.00600341569 +153017.46 402.9544 451.7664 0.00374753252 +156598.44 369.8725 415.2328 0.00823747534 +160004.44 340.041 382.3106 0.00523870213 +163796.51 312.0853 351.5203 0.00479802043 +167735.68 286.3194 323.1536 0.00533704038 +171763.50 262.8298 297.2937 0.00674247729 +175948.44 241.014 273.2693 0.0045366287 +180253.63 220.7646 250.9722 0.00966933297 +184638.45 202.1557 230.4428 0.00643397233 +189167.43 185.2231 211.7332 0.00939659513 +193683.62 169.132 193.9639 0.00754645612 +198395.68 154.1378 177.418 0.00965608616 +203087.42 140.5262 162.2946 0.0111276233 +207727.44 128.1874 148.4948 0.00168997041 +212448.42 116.9793 135.9838 0.00277416654 +217217.41 106.2979 124.034 0.00227596134 +221875.76 96.8696 113.4435 0.00258166613 +226500.57 88.1116 103.6004 0.00257371327 +231067.44 80.4593 94.9558 0.00249719843 +235603.62 73.2411 86.7912 0.00191728975 +240227.45 65.4404 77.922 0.00291204396 +243947.43 62.41 74.4634 0.00242569578 +247066.48 60.7938 72.6212 0.00120664825 diff --git a/calib_data/_calib_data/calib2018-10-25_p0_c1.dat b/calib_data/_calib_data/calib2018-10-25_p0_c1.dat new file mode 100644 index 0000000..1c8b6c6 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p0_c1.dat @@ -0,0 +1,48 @@ +687.23 60.0302 56.9546 0.000135440071 +6249.22 67.0719 62.752 0.000326662062 +9315.31 75.259 69.3563 0.000187293814 +12298.21 84.612 76.7575 0.000274956957 +15599.23 95.1681 84.9236 0.000393966671 +19735.31 106.9581 93.8406 0.00248274042 +23239.23 120.2999 103.7034 0.00423367453 +27021.32 135.4901 114.6517 0.00603498136 +30466.22 151.8478 126.1575 0.00451940262 +34179.23 169.8358 138.4902 0.00506320057 +37562.30 190.1638 152.0691 0.00771550387 +40917.22 212.9558 166.8189 0.0095052091 +43945.32 238.6735 183.0816 0.00854657826 +46479.22 266.8229 200.4119 0.0143230234 +48938.23 297.8316 219.0145 0.0105244952 +51025.31 331.7946 238.7581 0.00521047023 +53067.23 369.7829 260.2328 0.00542733821 +54792.29 411.0935 282.8638 0.00706937055 +56809.22 457.5508 307.5691 0.00901382272 +58502.29 507.5929 333.3764 0.00842520029 +59843.23 563.222 361.2577 0.00700435579 +61698.22 625.0494 391.127 0.00701284536 +63140.31 693.094 422.9549 0.00561862973 +64516.23 768.436 457.142 0.0045607017 +65827.22 851.613 493.7752 0.00598965775 +67188.22 942.391 532.4583 0.00736756405 +68534.23 1045.041 574.9137 0.0079183963 +69849.23 1160.808 621.3014 0.00667412916 +71155.31 1290.251 671.761 0.0185714835 +72446.22 1432.902 725.463 0.0191337398 +73722.29 1601.023 786.796 0.0163217646 +74978.23 1796.195 855.587 0.0156236999 +76218.22 2021.578 932.07 0.0169115345 +77389.23 2284.246 1018.293 0.0261553054 +78635.31 2595.003 1116.391 0.0270721259 +79880.31 2966.66 1228.992 0.0127906216 +81114.23 3417.348 1359.857 0.0222733024 +82832.30 3960.282 1510.14 0.0607124369 +84061.31 4639.938 1689.667 0.0260403533 +85246.23 5470.638 1897.782 0.0334604244 +86437.22 6531.54 2149.69 0.0884759854 +87597.22 7893.72 2455.09 0.130797553 +89315.31 9645.51 2821.653 0.175653352 +90549.22 11998.04 3281.109 0.28996017 +91729.22 15160.28 3858.342 0.0746297528 +92914.22 19414.76 4573.038 0.191717501 +94648.22 25314.09 5486.35 0.298633555 +96615.30 31049.91 6310.366 0.335908321 diff --git a/calib_data/_calib_data/calib2018-10-25_p0_c2.dat b/calib_data/_calib_data/calib2018-10-25_p0_c2.dat new file mode 100644 index 0000000..1181c71 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p0_c2.dat @@ -0,0 +1,48 @@ +456.23 60.065 56.7237 0.000191626727 +6326.22 67.0886 62.4056 0.000240050105 +9084.23 75.1956 68.8361 0.000404104935 +12067.23 84.5115 76.0713 0.000453017083 +15676.22 95.215 84.1913 0.000340595031 +19504.24 106.7741 92.7834 0.00289896533 +23316.23 120.3705 102.6439 0.00466358231 +26790.32 135.2673 113.1896 0.00565720779 +30543.25 151.9356 124.6869 0.00531497883 +34256.23 169.9204 136.7724 0.00626290667 +37639.23 190.2727 150.0942 0.00470063825 +40994.22 213.074 164.5464 0.00749959999 +44022.28 238.769 180.4567 0.00973966119 +46556.23 266.9912 197.4437 0.00838099039 +49015.32 297.9003 215.6006 0.00649953845 +51102.32 331.9035 234.9282 0.00583060889 +53144.23 369.8302 255.8821 0.00859936044 +54869.22 411.1653 278.0436 0.00672933875 +56886.23 457.5535 302.154 0.00618384993 +58579.22 507.5952 327.356 0.00598331012 +59970.31 563.4612 354.665 0.00520576603 +61367.22 624.4515 383.4831 0.00823826438 +63217.22 693.092 414.7574 0.0159963746 +64643.22 768.428 448.145 0.0065130638 +65954.22 851.597 483.8497 0.00309854805 +67315.31 942.366 521.5444 0.00485221599 +68661.30 1045.04 562.8802 0.00401198205 +69976.22 1160.786 608.0191 0.00516420371 +71282.30 1290.145 657.039 0.0243905719 +72573.22 1432.787 709.268 0.0228385639 +73849.22 1600.872 768.787 0.0161276161 +75105.31 1796.012 835.552 0.0237402612 +76345.32 2021.483 909.69 0.0159373775 +77541.30 2284.146 993.161 0.0272194783 +78787.22 2595.068 1088.105 0.0129034879 +80032.29 2966.586 1196.9 0.0254165301 +81266.23 3417.131 1323.109 0.026474516 +82501.30 3960.823 1469.519 0.181209547 +84138.22 4639.637 1640.95 0.0355527777 +85373.23 5470.135 1841.156 0.0261992366 +86564.22 6531.14 2082.961 0.063646681 +87749.22 7892.7 2374.939 0.0961296 +88984.22 9649.71 2726.312 0.189651259 +90626.22 11996.44 3165.812 0.0613155771 +91856.22 15156.6 3713.398 0.109066952 +93041.32 19401.72 4392.392 0.05330666 +94725.30 25321.35 5259.458 0.228034208 +96384.23 31043.57 6035.257 0.222022747 diff --git a/calib_data/_calib_data/calib2018-10-25_p0_c4.dat b/calib_data/_calib_data/calib2018-10-25_p0_c4.dat new file mode 100644 index 0000000..4ba97a7 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p0_c4.dat @@ -0,0 +1,48 @@ +533.22 60.0494 55.5713 0.000177082372 +6403.22 67.0948 61.1496 0.000170810334 +9161.31 75.222 67.449 0.000319632839 +12144.23 84.5495 74.519 0.000382970657 +15753.22 95.2559 82.4403 0.000314611368 +19581.33 106.8371 90.8144 0.00526535849 +23085.33 120.151 100.2103 0.00367980978 +26867.22 135.3495 110.6569 0.00481134077 +30620.33 152.0195 121.8026 0.00462644572 +34025.31 169.6423 133.2746 0.00605673179 +37716.23 190.3705 146.3962 0.00478079491 +41071.31 213.1686 160.3553 0.00970159781 +44099.23 238.8535 175.6839 0.00798805358 +46633.22 267.1072 192.0499 0.0104932836 +48784.22 297.6116 209.2934 0.00334723767 +51179.22 331.9572 228.0331 0.00515063103 +52913.22 369.6418 247.997 0.0071888803 +54946.22 411.2089 269.3124 0.00771129042 +56655.32 457.5233 292.3045 0.00920353193 +58656.22 507.6004 316.3659 0.00980249968 +60097.23 563.5272 342.3997 0.00466272453 +61494.23 624.7743 369.9248 0.00888234203 +62886.23 692.918 399.4613 0.00848298297 +64720.31 768.376 431.0724 0.0184142336 +66081.31 851.626 464.8627 0.00333481634 +67442.30 942.373 500.4562 0.00626226796 +68788.23 1045.025 539.4157 0.00422149263 +70103.22 1160.729 581.9141 0.00513896877 +71409.22 1290.286 627.9128 0.00395929287 +72700.31 1432.765 676.898 0.0220363336 +73976.23 1600.94 732.699 0.0200723691 +75232.28 1796.009 795.01 0.0194935887 +76472.29 2021.497 864.221 0.0202706685 +77668.22 2283.997 941.88 0.0221359436 +78914.22 2594.947 1030.032 0.0173666347 +80159.23 2966.246 1130.864 0.0176181724 +81393.23 3416.88 1247.425 0.0190394328 +82628.23 3960.701 1381.37 0.0227596134 +83807.22 4641.153 1540.303 0.025614449 +85450.31 5469.994 1723.295 0.0298077171 +86691.31 6532.22 1943.829 0.026360956 +87876.22 7889.9 2209.714 0.134247533 +89111.30 9646.91 2528.57 0.134662541 +90295.31 11995.15 2925.047 0.0763812804 +91933.23 15156.17 3417.453 0.117694945 +93168.22 19399.34 4024.944 0.0859674357 +94802.29 25320.67 4796.096 0.106632078 +96461.30 31047.07 5484.402 0.224083913 diff --git a/calib_data/_calib_data/calib2018-10-25_p0_c6.dat b/calib_data/_calib_data/calib2018-10-25_p0_c6.dat new file mode 100644 index 0000000..a2fc93a --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p0_c6.dat @@ -0,0 +1,48 @@ +610.31 60.0375 58.0085 0.00014071208 +6172.30 67.0457 63.9048 0.000474222531 +9238.22 75.2411 70.6517 0.000248500239 +12221.30 84.5846 78.1977 0.000333979434 +15522.29 95.1201 86.531 0.000454442694 +19658.22 106.8976 95.6507 0.00312105751 +23162.29 120.229 105.7381 0.00402355564 +26944.23 135.4217 116.973 0.00642339474 +30697.23 152.0966 128.9939 0.0033806804 +34102.30 169.7424 141.4068 0.00481414582 +37485.31 190.0518 155.3404 0.00688505628 +40840.32 212.8195 170.4984 0.00980836378 +43868.22 238.5475 187.2221 0.00950941639 +46402.28 266.6756 205.0939 0.0164471578 +48861.32 297.7423 224.2544 0.00641124013 +50948.22 331.6436 244.5498 0.00940723126 +52990.32 369.7432 266.744 0.00631981012 +55023.23 411.2365 290.2252 0.00701398603 +56732.30 457.5576 315.6614 0.00720999307 +58425.31 507.579 342.3643 0.00724437713 +60174.22 563.5482 371.308 0.00416653333 +61621.32 624.9782 402.1 0.00682055716 +63013.23 693.047 435.1028 0.00637463724 +64389.23 768.405 470.5946 0.00627407364 +65675.31 851.693 508.6548 0.00688156959 +67036.22 942.4 548.9134 0.0094669953 +68382.29 1045.102 593.0196 0.0110138095 +69697.22 1160.659 641.351 0.021746264 +71003.23 1290.297 693.846 0.0119331471 +72294.23 1432.942 749.888 0.0118995798 +73570.31 1601.092 813.851 0.0247971773 +74826.22 1796.274 885.812 0.0280285569 +76549.23 2021.48 965.678 0.0366824209 +77795.31 2283.919 1055.962 0.0233152311 +79041.31 2594.914 1158.912 0.020238577 +80286.23 2966.115 1277.049 0.0160903698 +81520.32 3416.725 1414.543 0.0202014851 +82755.31 3960.318 1573.246 0.0112427755 +83934.23 4640.477 1762.746 0.02665333 +85119.23 5472.034 1982.894 0.016625282 +86768.23 6532.28 2249.083 0.059195439 +88003.22 7891.08 2572.318 0.0995369278 +89238.23 9646.05 2963.233 0.13793513 +90422.29 11997.72 3454.991 0.0859470767 +91602.29 15163.03 4070.079 0.174816761 +92762.30 19418 4839.342 0.0738349511 +94879.22 25319.18 5819.314 0.191902058 +96538.23 31045.63 6708.41 0.153915561 diff --git a/calib_data/_calib_data/calib2018-10-25_p1_c1.dat b/calib_data/_calib_data/calib2018-10-25_p1_c1.dat new file mode 100644 index 0000000..e92d6cb --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p1_c1.dat @@ -0,0 +1,48 @@ +3767.23 59.9349 56.8724 1.54135626e-05 +6557.23 67.1094 62.788 0.000111692022 +9315.31 75.259 69.3563 0.000187293814 +12606.22 84.7164 76.8271 0.000176474205 +16523.23 95.5346 85.2089 0.00179694185 +20043.23 107.1513 93.9857 0.00266852019 +23547.23 120.5446 103.884 0.00373630834 +27329.22 135.7181 114.8171 0.00463130651 +30774.24 152.1634 126.3747 0.00457831847 +34487.22 170.1402 138.6961 0.00391267172 +37870.32 190.5463 152.3247 0.004532218 +41225.32 213.3531 167.0783 0.00844399195 +44253.22 239.0211 183.2977 0.00846882518 +46787.23 267.2165 200.6462 0.0102223285 +49246.23 298.0139 219.1279 0.0110104042 +51333.22 332.0334 238.9001 0.00363166628 +53375.31 369.9112 260.2801 0.00773879836 +55100.31 411.2423 282.9421 0.00489785667 +57117.22 457.5639 307.5802 0.0051668172 +58810.31 507.59 333.387 0.00444072066 +60251.32 563.5468 361.3433 0.011824593 +62006.22 625.0948 391.169 0.00442266888 +63448.22 693.148 422.9104 0.0166308148 +64874.22 768.451 457.122 0.0124322162 +66235.31 851.717 493.7373 0.0126143173 +67596.23 942.36 532.4246 0.0157519523 +68942.29 1045.066 574.8661 0.0187298959 +70257.23 1160.692 621.2493 0.0195141231 +71563.23 1290.18 671.757 0.0211210795 +72854.23 1432.731 725.458 0.0128685664 +74130.31 1600.939 786.793 0.0208350666 +75386.22 1795.911 855.527 0.0187643279 +76626.23 2021.422 931.963 0.0451231648 +77872.29 2284.11 1018.098 0.0324899985 +79118.22 2594.966 1116.182 0.0437904099 +80363.23 2966.206 1228.745 0.0401808412 +81597.22 3416.604 1359.432 0.0276333132 +83140.32 3959.835 1510.109 0.036508903 +84369.22 4639.448 1689.464 0.05363208 +85604.23 5469.881 1897.582 0.053269128 +86845.31 6531.19 2149.591 0.126794716 +88080.31 7893.44 2453.714 0.193360803 +89623.23 9645.75 2821.705 0.0858981956 +90857.22 11999.07 3282.733 0.123061367 +92087.22 15155.59 3856.88 0.0640780774 +93322.33 19401.19 4572.236 0.100778966 +94956.23 25318.41 5486.947 0.127664012 +96923.23 31067.34 6312.472 0.27511016 diff --git a/calib_data/_calib_data/calib2018-10-25_p1_c2.dat b/calib_data/_calib_data/calib2018-10-25_p1_c2.dat new file mode 100644 index 0000000..b418516 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p1_c2.dat @@ -0,0 +1,48 @@ +3844.22 59.9367 56.6222 5.84874539e-06 +6634.23 67.1129 62.4315 8.08137478e-05 +9392.30 75.2708 68.8932 0.000161423151 +12683.22 84.7368 76.2364 0.000163842791 +16600.32 95.5504 84.4539 0.00326328056 +19812.32 107.0101 92.9546 0.00369377855 +23624.23 120.5924 102.8045 0.00347922405 +27098.22 135.551 113.388 0.00540370243 +30851.33 152.228 124.8816 0.00501238466 +34564.22 170.2007 136.9548 0.00182647201 +37947.22 190.6218 150.3182 0.00273788239 +41302.29 213.4192 164.771 0.00886115117 +44330.31 239.0782 180.6406 0.0103905727 +46864.22 267.3048 197.625 0.0062960305 +49323.22 298.0362 215.6813 0.0115637797 +51410.32 332.0679 235.0292 0.00727158855 +53452.30 369.9243 255.9377 0.00892418063 +55177.22 411.2549 278.0871 0.00483828482 +57194.22 457.5715 302.1642 0.00539777732 +58887.22 507.5947 327.3819 0.00283354901 +60328.22 563.545 354.6758 0.0072371265 +61775.31 625.0738 383.7727 0.00623706662 +63525.32 693.149 414.7634 0.0194613463 +64951.32 768.423 448.1126 0.0176353055 +66312.30 851.683 483.8087 0.0222499663 +67673.23 942.406 521.4954 0.0151935513 +69019.22 1045.045 562.8369 0.0145392228 +70334.23 1160.772 607.9772 0.0244531389 +71640.32 1290.17 657.078 0.0156076904 +72931.31 1432.758 709.3 0.0360277671 +74207.21 1600.933 768.725 0.0350499643 +75463.23 1795.7 835.445 0.0337712896 +76703.23 2021.484 909.596 0.044591479 +77949.22 2284.051 992.995 0.026124701 +79195.31 2594.915 1087.987 0.0420963181 +80440.31 2966.078 1196.761 0.0453751033 +81674.22 3416.621 1322.841 0.0524871413 +82909.22 3960.126 1468.149 0.0438964691 +84446.23 4639.423 1640.915 0.0504232089 +85681.29 5469.837 1840.975 0.0360069438 +86922.29 6531.25 2082.666 0.0584157513 +88157.22 7891.29 2374.454 0.164858727 +89392.29 9646.36 2726.184 0.0859092544 +90934.23 11998.83 3166.123 0.123410291 +92164.22 15154.03 3713.036 0.124669162 +93399.22 19400.01 4392.102 0.116925617 +95033.22 25319.81 5258.898 0.183895623 +96692.30 31059.54 6037.081 0.235866276 diff --git a/calib_data/_calib_data/calib2018-10-25_p1_c4.dat b/calib_data/_calib_data/calib2018-10-25_p1_c4.dat new file mode 100644 index 0000000..3434141 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p1_c4.dat @@ -0,0 +1,48 @@ +3613.23 59.9404 55.4857 1.72081429e-05 +6403.22 67.0948 61.1496 0.000170810334 +9469.23 75.2809 67.4937 0.000129049471 +12820.31 84.7607 74.6745 0.000158067051 +16369.23 95.4951 82.6203 0.00244969386 +19889.23 107.0611 90.9769 0.00316370037 +23393.23 120.4336 100.4006 0.00382674797 +27175.32 135.6116 110.8329 0.0042695433 +30928.23 152.2869 121.9816 0.00254636997 +34333.22 169.9963 133.508 0.00280713377 +38024.23 190.6927 146.5981 0.00478842354 +41379.23 213.5016 160.5533 0.00940430752 +44407.23 239.1364 175.8486 0.00777328759 +46941.32 267.3646 192.1905 0.00863046928 +49092.29 297.9518 209.4737 0.00490112232 +51487.23 332.0989 228.1023 0.00526317395 +53221.31 369.8684 248.1078 0.00814591922 +55254.23 411.2775 269.3376 0.00630428426 +56963.22 457.5782 292.3257 0.012530004 +58964.23 507.5968 316.3688 0.00624147418 +60405.31 563.5357 342.3796 0.00445016854 +61852.30 625.083 370.0341 0.00384824635 +63294.22 693.095 399.4561 0.0202264431 +65028.22 768.439 431.0647 0.0123515586 +66389.22 851.666 464.8216 0.0217099977 +67750.30 942.359 500.4188 0.0247987096 +69096.23 1045.021 539.3601 0.0215301881 +70411.29 1160.803 581.8548 0.0255263785 +71717.23 1290.264 627.8381 0.0235174191 +73008.22 1432.805 676.979 0.0240603408 +74284.23 1600.916 732.716 0.020746084 +75540.31 1795.731 794.996 0.0319749902 +76780.30 2021.478 864.179 0.0330892732 +78026.22 2283.901 941.784 0.0340939877 +79272.29 2594.907 1030.027 0.0162511538 +80517.22 2966.023 1130.679 0.0324175878 +81751.30 3416.554 1247.337 0.0447895077 +82986.22 3959.695 1381.196 0.0445016854 +84215.32 4639.538 1540.012 0.0378100516 +85758.22 5469.833 1723.27 0.0224944438 +86999.22 6532.19 1943.78 0.0694550214 +88234.22 7879.12 2209.128 0.216516974 +89469.22 9646 2528.257 0.108268647 +90703.22 11997.41 2925.823 0.0834511833 +92241.32 15155.79 3417.591 0.126281036 +93476.22 19401.68 4025.077 0.0618554767 +95110.31 25323.77 4796.258 0.256810436 +96769.23 31064.2 5486.016 0.218706196 diff --git a/calib_data/_calib_data/calib2018-10-25_p1_c6.dat b/calib_data/_calib_data/calib2018-10-25_p1_c6.dat new file mode 100644 index 0000000..0df05b9 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p1_c6.dat @@ -0,0 +1,48 @@ +3690.32 59.9343 57.9252 1.34509669e-06 +6480.32 67.1035 63.947 0.000128547371 +9546.22 75.2987 70.6997 0.000132256967 +12897.22 84.7884 78.3616 0.000161046221 +16446.22 95.5152 86.8376 0.0025853433 +19966.24 107.1084 95.8107 0.00231969826 +23470.32 120.4907 105.9409 0.00286862336 +27252.29 135.6679 117.1514 0.00214569336 +31005.32 152.3425 129.1684 0.00564127645 +34410.32 170.0705 141.6349 0.00431381502 +37793.22 190.4592 155.6176 0.00575186926 +41148.22 213.2708 170.7852 0.00806820922 +44176.23 238.9492 187.4771 0.00866539093 +46710.31 267.1591 205.3946 0.00772813043 +49169.22 297.9863 224.3974 0.00730917232 +51256.23 331.9966 244.7633 0.00769291882 +53298.22 369.8848 266.8306 0.00731464285 +55331.32 411.2734 290.221 0.00881816307 +57040.30 457.5799 315.6895 0.00467600257 +58733.23 507.5897 342.3504 0.00878316572 +60482.30 563.5357 371.3057 0.00900005556 +61929.22 625.0871 402.1652 0.009014211 +63371.32 693.151 435.0795 0.0126382356 +64797.22 768.41 470.5573 0.0144596335 +66158.23 851.674 508.578 0.0169682056 +67519.22 942.353 548.7889 0.0149287977 +68865.32 1045.059 592.9218 0.0211597732 +70180.31 1160.688 641.424 0.0382413389 +71486.23 1290.296 693.874 0.0282559728 +72777.22 1432.733 749.853 0.0175527776 +74053.22 1600.957 813.848 0.020774985 +75309.22 1796.041 885.765 0.0297405447 +76857.23 2021.584 965.699 0.0253160028 +78103.22 2283.913 1055.847 0.0255362487 +79349.21 2594.927 1158.798 0.0393141196 +80594.22 2966.121 1276.989 0.0355654327 +81828.22 3409.155 1413.746 0.327539921 +83063.22 3959.658 1573.105 0.0322567822 +84292.31 4639.44 1762.419 0.0384824635 +85527.22 5469.893 1982.327 0.047540509 +87076.23 6532.33 2249.331 0.099382594 +88311.32 7867.85 2557.12 1.1190496 +89546.22 9645.97 2963.354 0.171302072 +90780.30 11998.19 3454.843 0.0952580705 +92010.32 15156.08 4069.281 0.0999844988 +93245.31 19400.94 4835.361 0.124671167 +95187.22 25326.48 5820.213 0.195775637 +96846.23 31064.02 6711.32 0.276694778 diff --git a/calib_data/_calib_data/calib2018-10-25_p2_c1.dat b/calib_data/_calib_data/calib2018-10-25_p2_c1.dat new file mode 100644 index 0000000..3158a19 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p2_c1.dat @@ -0,0 +1,49 @@ +3767.23 59.9349 56.8724 1.54135626e-05 +6557.23 67.1094 62.788 0.000111692022 +9315.31 75.259 69.3563 0.000187293814 +12606.22 84.7164 76.8271 0.000176474205 +# above from q=2 +16831.31 95.5967 85.253 0.00258843582 +20351.33 107.2989 94.0913 0.00212626433 +23855.31 120.7252 104.0062 0.00329180801 +27637.22 135.88 114.9315 0.00343874977 +31082.33 152.3994 126.5375 0.00344746284 +34795.31 170.3577 138.8511 0.00312553995 +38178.23 190.8202 152.4992 0.00401198205 +41533.22 213.651 167.2598 0.00938488146 +44561.32 239.2301 183.4265 0.00742192697 +47095.31 267.3706 200.7862 0.0167229184 +49554.23 298.1096 219.1925 0.00468454907 +51641.31 332.115 238.9477 0.00705839925 +53683.22 369.928 260.2945 0.00643000778 +55408.22 411.2602 282.9507 0.00435901365 +57425.31 457.5734 307.5848 0.00755354222 +59118.22 507.5998 333.393 0.00363868108 +60559.22 563.5307 361.3461 0.00547987226 +62314.23 625.0826 391.1524 0.00770090904 +63756.22 693.139 422.9081 0.0155231762 +65182.30 768.474 457.1192 0.0155787034 +66543.23 851.665 493.7458 0.0140333888 +67904.22 942.341 532.4208 0.017352118 +69250.31 1045.03 574.8468 0.0199297767 +70565.30 1160.651 621.2336 0.0213631458 +71871.32 1290.18 671.788 0.0198896958 +73162.29 1432.809 725.435 0.0215058132 +74438.22 1600.933 786.783 0.0231538334 +75694.23 1795.861 855.539 0.0310950157 +76934.23 2021.626 931.949 0.0297808663 +78180.30 2283.917 1018.075 0.036256034 +79426.22 2594.844 1116.217 0.040646033 +80671.31 2966.098 1228.754 0.0163217646 +81905.31 3412.302 1355.927 0.539653685 +83448.22 3959.706 1510.103 0.0270573465 +84677.22 4639.531 1689.426 0.0637840105 +85912.32 5470.117 1897.553 0.0573245148 +87153.22 6530.97 2149.444 0.0694291005 +88388.23 7894.48 2452.996 0.769026918 +89931.31 9646.12 2821.515 0.103501208 +91165.31 11967.05 3281.553 0.799240952 +92395.32 15157.06 3857.436 0.0847490413 +93630.32 19399.58 4572.255 0.104711508 +95264.23 25328.93 5488.048 0.189514116 +97231.30 31085.88 6314.747 0.296779548 diff --git a/calib_data/_calib_data/calib2018-10-25_p2_c2.dat b/calib_data/_calib_data/calib2018-10-25_p2_c2.dat new file mode 100644 index 0000000..24306fd --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p2_c2.dat @@ -0,0 +1,49 @@ +3844.22 59.9367 56.6222 5.84874539e-06 +6634.23 67.1129 62.4315 8.08137478e-05 +9392.30 75.2708 68.8932 0.000161423151 +12683.22 84.7368 76.2364 0.000163842791 +# above from q=2 +16908.24 95.6099 84.4998 0.00263362868 +20120.31 107.1942 93.0936 0.00303051151 +23932.30 120.7599 102.9238 0.00438588646 +27406.23 135.7705 113.5392 0.00454708698 +31159.22 152.4461 125.0205 0.00345904611 +34872.30 170.4054 137.0881 0.00427656404 +38255.31 190.8743 150.4786 0.00309903211 +41610.31 213.7141 164.9391 0.0103734758 +44638.23 239.2643 180.7539 0.00741006073 +47172.29 267.427 197.7074 0.00782329854 +49631.32 298.1258 215.7281 0.0074302759 +51718.23 332.1167 235.0848 0.00604284701 +53760.31 369.937 255.9297 0.00454763675 +55485.32 411.2623 278.1005 0.00586216683 +57502.32 457.5765 302.1671 0.00666700832 +59195.31 507.5972 327.3855 0.00723774827 +60636.22 563.5232 354.6759 0.00889432403 +62083.22 625.0844 383.7792 0.00591574171 +63833.22 693.087 414.7647 0.0133776306 +65259.22 768.448 448.1208 0.0154905132 +66620.32 851.674 483.8326 0.0113650341 +67981.32 942.373 521.495 0.0232963516 +69327.22 1045.048 562.8164 0.0178998324 +70642.30 1160.806 607.9839 0.0207554571 +71948.23 1290.161 657.066 0.014366628 +73239.22 1432.824 709.296 0.0245438383 +74515.31 1600.938 768.803 0.0243741667 +75771.31 1795.846 835.524 0.0189314553 +77011.32 2021.518 909.636 0.0128996124 +78257.22 2283.874 992.947 0.0385240185 +79503.22 2594.878 1087.985 0.0382687862 +80748.23 2966.201 1196.716 0.0501637319 +81982.30 3426.739 1330.36 0.367755353 +83217.22 3959.677 1468.168 0.0467717864 +84754.22 4639.446 1640.898 0.0493517983 +85989.22 5469.967 1840.949 0.0484241675 +87230.31 6531.35 2082.782 0.084152243 +88465.31 7915.39 2382.386 0.632686652 +89700.31 9645.41 2726.248 0.140831815 +91242.30 11959.42 3159.272 0.595141664 +92472.29 15155.78 3713.421 0.0512727998 +93707.22 19398.49 4392.313 0.0688193287 +95341.30 25327.64 5259.691 0.234671899 +97000.30 31073.34 6038.988 0.276556685 diff --git a/calib_data/_calib_data/calib2018-10-25_p2_c4.dat b/calib_data/_calib_data/calib2018-10-25_p2_c4.dat new file mode 100644 index 0000000..5932c0c --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p2_c4.dat @@ -0,0 +1,49 @@ +3613.23 59.9404 55.4857 1.72081429e-05 +6403.22 67.0948 61.1496 0.000170810334 +9469.23 75.2809 67.4937 0.000129049471 +12820.31 84.7607 74.6745 0.000158067051 +# above from q=2 +16677.22 95.5645 82.6745 0.0033443983 +20197.22 107.2305 91.0977 0.00228495077 +23701.32 120.6385 100.5513 0.00340014706 +27483.24 135.8078 110.9662 0.00376775795 +31236.22 152.4883 122.1076 0.00296040538 +34641.31 170.2572 133.6782 0.00247305479 +38332.30 190.9266 146.7425 0.00227705951 +41687.22 213.7529 160.7044 0.00722661747 +44715.31 239.2959 175.9445 0.00854312589 +47249.23 267.4827 192.2612 0.00847325203 +49400.32 298.0624 209.5384 0.00461345857 +51795.31 332.1379 228.1392 0.00853557262 +53529.23 369.9218 248.1256 0.00456771278 +55562.29 411.2631 269.3299 0.00589822007 +57271.32 457.5823 292.3473 0.00921525908 +59272.32 507.6099 316.378 0.0116961532 +60713.22 563.5153 342.3693 0.00631038826 +62160.31 625.0827 370.0552 0.00530810701 +63602.30 693.153 399.454 0.0135173962 +65336.23 768.397 431.0774 0.0120051656 +66697.22 851.652 464.8246 0.0189837826 +68058.22 942.365 500.4302 0.00925937363 +69404.23 1045.033 539.3781 0.0165713307 +70719.23 1160.85 581.8724 0.0156628222 +72025.32 1290.295 627.8575 0.0220527776 +73316.22 1432.782 676.976 0.0257759578 +74592.30 1600.94 732.693 0.0260403533 +75848.23 1795.84 795.095 0.0300749065 +77088.22 2021.606 864.153 0.0199524435 +78334.23 2283.89 941.709 0.03505567 +79580.31 2594.967 1029.992 0.0428439027 +80825.31 2966.279 1130.739 0.0432770147 +82059.22 3419.514 1245.435 0.3410843 +83294.22 3959.798 1381.145 0.0321947201 +84523.22 4639.266 1539.91 0.0600333241 +86066.22 5469.676 1723.24 0.0425675933 +87307.22 6533.02 1943.68 0.0910054943 +88542.29 7901.67 2210.618 0.0666003003 +89777.22 9645.01 2528.304 0.0568190109 +91011.32 11997.86 2925.405 0.0623417998 +92549.22 15154.98 3417.276 0.135064429 +93784.23 19400.22 4024.896 0.0724596439 +95418.23 25321.81 4796.333 0.242907596 +97077.23 31076.67 5487.726 0.225274055 diff --git a/calib_data/_calib_data/calib2018-10-25_p2_c6.dat b/calib_data/_calib_data/calib2018-10-25_p2_c6.dat new file mode 100644 index 0000000..6d939a6 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-25_p2_c6.dat @@ -0,0 +1,49 @@ +3690.32 59.9343 57.9252 1.34509669e-06 +6480.32 67.1035 63.947 0.000128547371 +9546.22 75.2987 70.6997 0.000132256967 +12897.22 84.7884 78.3616 0.000161046221 +# above from q=2 +16754.23 95.5813 86.891 0.00281780056 +20274.23 107.266 95.9311 0.00275118156 +23778.23 120.6829 106.0753 0.00402007463 +27560.31 135.8434 117.2821 0.00210926527 +31313.24 152.5278 129.2989 0.00557575107 +34718.23 170.3101 141.8008 0.0051976918 +38101.31 190.7608 155.814 0.00546808925 +41456.23 213.5797 170.9897 0.00952265719 +44484.22 239.1877 187.6258 0.00958519692 +47018.23 267.3653 205.5294 0.00508369944 +49477.23 298.0896 224.4436 0.00316291005 +51564.23 332.1141 244.8254 0.00599699925 +53606.22 369.9259 266.8555 0.00830451684 +55639.22 411.2661 290.2497 0.00572721573 +57348.22 457.5806 315.6858 0.0033757962 +59041.32 507.6078 342.3788 0.00623345811 +60790.32 563.5031 371.2828 0.00736450949 +62237.23 625.0835 402.1683 0.0112080774 +63679.22 693.144 435.0808 0.0130290445 +65105.31 768.441 470.5629 0.0119970413 +66466.22 851.649 508.57 0.0168689063 +67827.23 942.322 548.7666 0.0216648102 +69173.22 1045.006 592.9181 0.0174415882 +70488.22 1160.673 641.389 0.0199724811 +71794.23 1290.274 693.818 0.0255264569 +73085.31 1432.805 749.865 0.025622256 +74361.31 1600.931 813.84 0.0222261108 +75617.23 1795.818 885.691 0.0288600069 +77165.31 2021.618 965.616 0.0456333212 +78411.30 2283.833 1055.832 0.0489857122 +79657.22 2594.927 1158.856 0.0200099975 +80902.29 2966.186 1277.036 0.020356817 +82136.22 3412.274 1413.778 0.142988111 +83371.29 3959.896 1573.115 0.0358399219 +84600.31 4639.385 1762.344 0.0581240054 +85835.31 5469.992 1982.291 0.0260557095 +87384.22 6532.53 2249.14 0.0762627039 +88619.22 7894.87 2572.744 0.200963678 +89854.23 9645.65 2963.095 0.135042586 +91088.23 11997.97 3454.777 0.0742300478 +92318.22 15158.02 4069.634 0.161543802 +93553.23 19402.42 4835.15 0.0382099463 +95495.31 25317.42 5818.829 0.233818092 +97154.22 31079.23 6712.77 0.0980306075 diff --git a/calib_data/_calib_data/calib2018-10-26_p0_c1.dat b/calib_data/_calib_data/calib2018-10-26_p0_c1.dat new file mode 100644 index 0000000..977183f --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p0_c1.dat @@ -0,0 +1,11 @@ +1118.23 7897.24 2454.829 0.11131442 +2353.22 9650.93 2822.699 0.141601201 +658.23 7897.77 2454.157 0.209332511 +1909.23 3416.744 1359.445 0.0215522621 +3140.31 1796.248 855.401 0.0230846269 +4351.31 1044.838 574.927 0.0184418003 +6105.31 625.722 391.2875 0.0155738563 +7894.22 370.2479 260.4587 0.00503000994 +12288.22 218.8272 170.6545 0.0103016989 +18514.22 123.9107 106.3221 0.00332099383 +24727.22 68.0378 63.5381 0.00288946362 diff --git a/calib_data/_calib_data/calib2018-10-26_p0_c2.dat b/calib_data/_calib_data/calib2018-10-26_p0_c2.dat new file mode 100644 index 0000000..6c4c04e --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p0_c2.dat @@ -0,0 +1,11 @@ +887.22 7895.92 2375.6 0.100628028 +2430.31 9651.69 2727.174 0.0889966291 +327.22 7894.88 2374.948 0.123416368 +1986.22 3416.741 1322.868 0.0383092678 +3267.22 1796.232 835.397 0.0226296266 +4478.23 1044.845 562.885 0.021691012 +5774.23 626.662 384.2808 0.00975069228 +7971.31 370.1839 256.0726 0.00813412564 +12365.31 218.6702 168.1937 0.00865569177 +18591.31 123.8309 105.1079 0.00402604024 +24804.23 67.9994 63.1366 0.0020697826 diff --git a/calib_data/_calib_data/calib2018-10-26_p0_c4.dat b/calib_data/_calib_data/calib2018-10-26_p0_c4.dat new file mode 100644 index 0000000..2c5c02b --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p0_c4.dat @@ -0,0 +1,11 @@ +964.23 7894.25 2210.816 0.0687924414 +2099.23 9653.89 2529.712 0.10628076 +454.22 7895.65 2210.212 0.158598865 +1655.31 3415.168 1246.99 0.0158745079 +3344.22 1796.492 794.867 0.0429662658 +4605.31 1044.838 539.448 0.0244458585 +5901.32 626.043 370.3132 0.00494934339 +8048.23 370.1505 248.2381 0.00778517823 +12442.29 218.523 163.6778 0.00574421448 +18668.23 123.7566 102.7026 0.00321620895 +24573.22 68.1177 61.9428 0.00247305479 diff --git a/calib_data/_calib_data/calib2018-10-26_p0_c6.dat b/calib_data/_calib_data/calib2018-10-26_p0_c6.dat new file mode 100644 index 0000000..c30dbd3 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p0_c6.dat @@ -0,0 +1,11 @@ +1041.33 7895.27 2573.294 0.169942343 +2226.23 9651.38 2964.686 0.0612078426 +581.30 7895.59 2572.553 0.123491295 +1782.28 3416.303 1414.317 0.0233259512 +3013.22 1795.682 885.47 0.0237065392 +4682.30 1044.787 593.033 0.030101495 +6028.23 625.794 402.3719 0.00672376383 +8125.31 370.1352 266.9628 0.00493923071 +12519.22 218.3909 174.2385 0.00307977272 +18437.22 123.994 108.536 0.00328024389 +24650.31 68.0779 64.7559 0.0023767625 diff --git a/calib_data/_calib_data/calib2018-10-26_p1_c1.dat b/calib_data/_calib_data/calib2018-10-26_p1_c1.dat new file mode 100644 index 0000000..e39bd2c --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p1_c1.dat @@ -0,0 +1,10 @@ +1426.23 7897.1 2454.481 0.0620395035 +966.23 7897.66 2454.322 0.162799263 +2217.22 3416.9 1359.439 0.0408031862 +3498.22 1796.534 855.384 0.0192457788 +4759.23 1044.803 574.991 0.0255127419 +6413.23 625.61 391.2631 0.0153950966 +8202.32 370.1276 260.3921 0.0107512325 +12596.22 218.2492 170.288 0.00851704174 +18822.32 123.6113 106.1021 0.00312233887 +25035.31 67.8982 63.4284 0.00312793862 diff --git a/calib_data/_calib_data/calib2018-10-26_p1_c2.dat b/calib_data/_calib_data/calib2018-10-26_p1_c2.dat new file mode 100644 index 0000000..3ac6e1c --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p1_c2.dat @@ -0,0 +1,10 @@ +1195.30 7897.38 2375.448 0.193565493 +735.31 7899.33 2375.025 0.110709078 +2294.23 3416.89 1322.958 0.037277339 +3575.31 1796.73 835.478 0.0220363336 +4836.23 1044.799 562.913 0.0195984693 +6182.30 625.653 383.8845 0.0191933582 +8279.23 370.1101 256.026 0.00944775106 +12673.22 218.1059 167.828 0.0068541958 +18899.23 123.5419 104.902 0.00242074369 +25112.30 67.8753 63.0308 0.00251714124 diff --git a/calib_data/_calib_data/calib2018-10-26_p1_c4.dat b/calib_data/_calib_data/calib2018-10-26_p1_c4.dat new file mode 100644 index 0000000..6289686 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p1_c4.dat @@ -0,0 +1,10 @@ +1272.30 7897.77 2209.995 0.152900294 +812.29 7898.17 2209.869 0.163110086 +2063.21 3416.866 1247.314 0.0454356688 +3652.28 1796.614 794.952 0.0212978872 +4913.23 1044.816 539.487 0.0173233946 +6259.22 625.567 370.1451 0.0156527633 +8356.22 370.0642 248.2132 0.00581859089 +12750.31 217.9779 163.3392 0.00743612802 +18976.22 123.4792 102.5112 0.00422800189 +24881.32 67.962 61.8232 0.00223069496 diff --git a/calib_data/_calib_data/calib2018-10-26_p1_c6.dat b/calib_data/_calib_data/calib2018-10-26_p1_c6.dat new file mode 100644 index 0000000..e067521 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p1_c6.dat @@ -0,0 +1,10 @@ +1349.22 7897.74 2572.941 0.158684908 +889.23 7897.85 2572.525 0.171943305 +2140.31 3416.963 1414.418 0.0411776638 +3421.30 1796.513 885.555 0.0320390387 +4990.31 1044.87 593.033 0.0232400516 +6336.23 625.578 402.2832 0.0132354071 +8433.23 370.0586 266.9382 0.0064417389 +12827.22 217.8599 173.8946 0.00438451822 +18745.31 123.6853 108.3085 0.00368035324 +24958.22 67.9245 64.6334 0.00271735165 diff --git a/calib_data/_calib_data/calib2018-10-26_p2_c1.dat b/calib_data/_calib_data/calib2018-10-26_p2_c1.dat new file mode 100644 index 0000000..4f36f5c --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p2_c1.dat @@ -0,0 +1,10 @@ +1734.22 7897.73 2454.543 0.0866723716 +1274.22 7894.11 2454.806 0.137282191 +2525.31 3417.042 1359.475 0.0589109497 +3806.23 1796.562 855.406 0.0397290825 +5067.22 1044.836 575.03 0.0288444102 +6721.31 625.644 391.2496 0.0165331183 +8510.32 370.0809 260.3719 0.00521047023 +12904.23 217.7452 169.974 0.00866025404 +19130.31 123.3511 105.9157 0.0025141599 +25343.22 67.7915 63.3364 0.00237149742 diff --git a/calib_data/_calib_data/calib2018-10-26_p2_c2.dat b/calib_data/_calib_data/calib2018-10-26_p2_c2.dat new file mode 100644 index 0000000..1a73ad4 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p2_c2.dat @@ -0,0 +1,10 @@ +1503.22 7896.7 2375.217 0.0958545774 +1043.23 7896.98 2375.032 0.134661056 +2602.28 3417.011 1322.941 0.0383001305 +3883.22 1796.752 835.397 0.0648544524 +5144.22 1044.836 562.941 0.0189446562 +6490.31 625.608 383.8827 0.0127122382 +8587.23 370.0703 256.0101 0.00383262312 +12981.32 217.6336 167.5231 0.00458573876 +19207.22 123.2941 104.7281 0.00155209536 +25420.31 67.7696 62.9503 0.00382635597 diff --git a/calib_data/_calib_data/calib2018-10-26_p2_c4.dat b/calib_data/_calib_data/calib2018-10-26_p2_c4.dat new file mode 100644 index 0000000..6ce27bf --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p2_c4.dat @@ -0,0 +1,10 @@ +1580.30 7896.51 2210.221 0.120494398 +1120.32 7897.28 2209.839 0.0844328135 +2371.30 3417.017 1247.351 0.036727374 +3960.31 1796.806 794.917 0.0451231648 +5221.31 1044.846 539.469 0.0247163913 +6567.22 625.598 370.1234 0.0190085244 +8664.22 370.0546 248.2059 0.00538785672 +13058.22 217.5209 163.0568 0.0034808045 +19284.22 123.2372 102.3421 0.00303463342 +25189.22 67.842 61.7296 0.00174470628 diff --git a/calib_data/_calib_data/calib2018-10-26_p2_c6.dat b/calib_data/_calib_data/calib2018-10-26_p2_c6.dat new file mode 100644 index 0000000..68d6d74 --- /dev/null +++ b/calib_data/_calib_data/calib2018-10-26_p2_c6.dat @@ -0,0 +1,10 @@ +1657.23 7897.17 2572.985 0.155455781 +1197.22 7895.6 2572.561 0.141063461 +2448.22 3417.049 1414.48 0.0314642654 +3729.22 1796.521 885.618 0.0248515593 +5298.23 1044.841 593.089 0.0189446562 +6644.23 625.602 402.2656 0.0104174853 +8741.32 370.0538 266.9107 0.00887699273 +13135.31 217.4183 173.6055 0.00467172345 +19053.23 123.4134 108.1003 0.0028707142 +25266.22 67.8143 64.5382 0.0027342275 diff --git a/calib_data/_calib_data/calib2018-11-05_p1_c1.dat b/calib_data/_calib_data/calib2018-11-05_p1_c1.dat new file mode 100644 index 0000000..7fa0655 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-05_p1_c1.dat @@ -0,0 +1,6 @@ +63747.22 61.4401923 58.10653 0.00280260771 +64987.22 61.4682 58.12242 0.00286495375 +66276.22 61.6648 58.28662 0.00260851682 +67566.23 61.87 58.45362 0.00291351334 +68855.31 62.036 58.59519 0.00304921137 +70144.22 62.1717 58.70909 0.00304809613 diff --git a/calib_data/_calib_data/calib2018-11-05_p1_c2.dat b/calib_data/_calib_data/calib2018-11-05_p1_c2.dat new file mode 100644 index 0000000..7220a82 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-05_p1_c2.dat @@ -0,0 +1,6 @@ +63804.22 61.4425714 57.8623 0.00214499417 +65064.22 61.4735 57.8685 0.00235053185 +66353.22 61.6766 58.0369 0.00187856328 +67643.22 61.8786 58.2003 0.00273879536 +68932.33 62.0453 58.3344 0.0024049948 +70221.34 62.1825 58.4505 0.00205548048 diff --git a/calib_data/_calib_data/calib2018-11-05_p1_c4.dat b/calib_data/_calib_data/calib2018-11-05_p1_c4.dat new file mode 100644 index 0000000..e34dbe8 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-05_p1_c4.dat @@ -0,0 +1,6 @@ +63861.33 61.445 56.6905 0.00205548048 +65141.32 61.477 56.7148 0.00193287351 +66430.29 61.6837 56.8813 0.00313065488 +67720.31 61.8811 57.0394 0.0021549942 +69009.22 62.0486 57.1698 0.00317111968 +70298.22 62.1854 57.2803 0.00173810241 diff --git a/calib_data/_calib_data/calib2018-11-05_p1_c6.dat b/calib_data/_calib_data/calib2018-11-05_p1_c6.dat new file mode 100644 index 0000000..0b2af85 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-05_p1_c6.dat @@ -0,0 +1,6 @@ +63928.23 61.4501 59.2088 0.00168997041 +65218.22 61.4888 59.2334 0.00214569336 +66507.22 61.6996 59.4096 0.00287471738 +67797.23 61.8933 59.5807 0.00113181271 +69086.23 62.0601 59.7152 0.00150199867 +70375.31 62.1928 59.8269 0.00388702971 diff --git a/calib_data/_calib_data/calib2018-11-05_p2_c1.dat b/calib_data/_calib_data/calib2018-11-05_p2_c1.dat new file mode 100644 index 0000000..fb56660 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-05_p2_c1.dat @@ -0,0 +1,7 @@ +60828.23 30.5262 57.76563 0.00276141449 +64030.30 61.4534 58.11287 0.00299078752 +65320.30 61.5128 58.15846 0.00287395894 +66609.22 61.7258 58.332 0.00296060805 +67899.22 61.9201 58.49352 0.00302697208 +69188.22 62.0774 58.62629 0.00243525974 +70477.23 62.2117 58.73681 0.00307143126 diff --git a/calib_data/_calib_data/calib2018-11-05_p2_c2.dat b/calib_data/_calib_data/calib2018-11-05_p2_c2.dat new file mode 100644 index 0000000..e69531d --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-05_p2_c2.dat @@ -0,0 +1,7 @@ +60905.31 30.5148 57.5165 0.00135830777 +64107.22 61.4545 57.8619 0.00211872603 +65397.23 61.5247 57.9026 0.00479416312 +66686.23 61.7347 58.0816 0.00217347648 +67976.23 61.9303 58.2457 0.00255362487 +69265.30 62.0868 58.3695 0.00186145105 +70554.23 62.2184 58.4783 0.00302009934 diff --git a/calib_data/_calib_data/calib2018-11-05_p2_c4.dat b/calib_data/_calib_data/calib2018-11-05_p2_c4.dat new file mode 100644 index 0000000..f3abc3a --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-05_p2_c4.dat @@ -0,0 +1,7 @@ +60982.29 30.508 56.3572 0.0031074105 +64184.22 61.4517 56.6885 0.00384512679 +65474.23 61.5254 56.7484 0.00300399734 +66763.23 61.7391 56.92 0.00217715411 +68053.23 61.9254 57.073 0.0018493242 +69342.33 62.0824 57.1951 0.00440556466 +70631.32 62.2152 57.3023 0.00216356188 diff --git a/calib_data/_calib_data/calib2018-11-05_p2_c6.dat b/calib_data/_calib_data/calib2018-11-05_p2_c6.dat new file mode 100644 index 0000000..b31f7f3 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-05_p2_c6.dat @@ -0,0 +1,7 @@ +61059.22 30.5085 58.8481 0.00245540221 +64261.33 61.4491 59.1975 0.00291633331 +65551.33 61.5388 59.2761 0.00288946362 +66840.32 61.7492 59.459 0.00216794834 +68130.31 61.9341 59.6178 0.00195345847 +69419.23 62.0892 59.7477 0.00187109594 +70708.22 62.2188 59.8549 0.00181906569 diff --git a/calib_data/_calib_data/calib2018-11-15_p0_c1.dat b/calib_data/_calib_data/calib2018-11-15_p0_c1.dat new file mode 100644 index 0000000..f1d107a --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p0_c1.dat @@ -0,0 +1,60 @@ +63600.31 30873.8 4964.873 0.254715724 +65749.23 26656.19 4511.216 0.801203095 +68354.22 21574.57 3943.886 0.181891176 +71319.22 17607.97 3459.856 0.161376578 +73563.22 14553.23 3060.251 0.117178923 +75561.30 12002.68 2699.828 0.0689028301 +77559.22 10103.79 2413.113 0.0573419567 +79547.22 8575.69 2167.41 0.0639218273 +81531.29 7352.11 1958.436 0.0884330255 +83500.31 6337.64 1774.946 0.142500526 +85483.22 5496.03 1614.443 0.0998403726 +87467.23 4813.831 1477.549 0.0569640237 +89445.31 4231.677 1354.941 0.0371604629 +91414.23 3743.48 1247.432 0.0318056599 +93382.29 3332.267 1152.793 0.0280017857 +95355.31 2979.159 1068.033 0.0224521714 +97323.22 2673.199 991.733 0.0365527017 +99291.31 2406.091 922.491 0.0294771098 +101260.32 2178.71 861.361 0.0447761097 +103229.22 1976.343 805.169 0.0198217053 +105198.22 1800.851 754.653 0.0248213618 +107167.22 1643.134 707.896 0.0481082114 +109141.31 1498.007 663.827 0.0465843321 +111110.31 1373.829 624.636 0.0339175471 +113078.22 1261.52 588.156 0.0250679078 +115067.22 1160.605 554.483 0.0149030198 +117051.29 1069.809 523.282 0.0410560592 +119054.23 982.653 492.3441 0.0148252825 +121061.31 905.467 464.2966 0.0144749439 +123074.21 836.472 438.5875 0.0125053988 +125088.23 768.343 412.4897 0.0204250092 +127130.31 708.264 388.7681 0.0111547748 +129189.22 652.97 366.2968 0.0110424635 +131338.23 601.66 344.8496 0.0240712276 +133487.23 553.906 324.4047 0.0124201852 +135641.31 509.175 304.6332 0.00758920286 +140166.23 468.5111 286.3162 0.00492300721 +142410.32 430.3787 268.5105 0.00707707567 +144739.22 395.5329 251.8124 0.0131743691 +61570.31 363.1693 235.8586 0.00797395761 +63990.31 333.2199 220.7613 0.00794613113 +66410.32 305.9219 206.6207 0.00843688331 +68829.23 279.839 192.7678 0.00827623103 +72150.31 258.1327 180.9351 0.00528100369 +75922.30 236.7834 169.0628 0.00697108313 +80328.22 217.591 158.1006 0.00568014084 +84561.31 198.4419 146.8577 0.00583103764 +88873.22 181.0507 136.4489 0.00420582929 +93276.22 165.5144 126.9386 0.00438223687 +97689.22 151.2006 118.0122 0.00382047118 +102165.31 138.0493 109.5733 0.00354697054 +106659.22 126.0684 101.7214 0.0013130118 +111243.22 114.4729 93.9462 0.00157353106 +115741.32 104.1682 86.8919 0.00228232338 +120216.22 94.9601 80.4534 0.00242981481 +124714.23 85.9873 74.0564 0.00169823438 +129116.22 78.1786 68.3716 0.00319749902 +133338.23 71.186 63.1818 0.00274153242 +137471.30 64.9126 58.4469 0.000932201695 +141316.22 60.3237 54.9193 0.00240852652 diff --git a/calib_data/_calib_data/calib2018-11-15_p0_c2.dat b/calib_data/_calib_data/calib2018-11-15_p0_c2.dat new file mode 100644 index 0000000..3369bbf --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p0_c2.dat @@ -0,0 +1,60 @@ +63677.22 30879.68 5315.053 0.201102213 +65826.22 26705.3 4831.744 1.88501416 +68431.32 21573.45 4202.973 0.161245465 +71396.23 17606.46 3678.103 0.0725541177 +73640.32 14553.06 3245.563 0.142408216 +75638.22 12001.84 2857.34 0.0919565115 +77636.23 10103.85 2548.323 0.0951845576 +79624.22 8576 2284.083 0.131339636 +81608.22 7352.57 2060.562 0.0741727713 +83577.22 6338.04 1864.557 0.0839767825 +85560.30 5495.7 1693.107 0.0809944443 +87544.22 4813.997 1547.397 0.0259634358 +89522.30 4231.947 1417.089 0.0399361991 +91491.29 3743.565 1302.88 0.025845696 +93459.23 3332.481 1202.556 0.0307636149 +95432.28 2979.124 1112.874 0.01877232 +97400.31 2673.356 1032.259 0.0180803761 +99368.22 2406.138 959.212 0.0248515593 +101337.22 2178.657 894.702 0.0320562006 +103306.21 1976.58 835.515 0.0327184963 +105275.31 1800.728 782.413 0.0297338191 +107244.23 1643.171 733.277 0.0312745903 +109218.23 1498.047 686.971 0.0312553995 +111187.22 1373.846 645.883 0.0152348285 +113155.30 1261.561 607.707 0.0169735088 +115144.22 1160.625 572.436 0.0246251904 +117128.22 1069.809 539.843 0.0218654979 +119131.32 982.715 507.707 0.0266852019 +121138.23 905.505 478.2959 0.012884448 +123151.32 836.483 451.4863 0.0211731198 +125165.31 768.367 424.2937 0.021389273 +127207.23 708.3 399.6134 0.0139722582 +129266.23 653.016 376.2708 0.0111765827 +131415.32 601.832 354.051 0.0154071412 +133564.22 553.951 332.7743 0.0126293705 +135718.23 509.184 312.2993 0.00985702795 +140243.22 468.5128 293.264 0.00981223726 +142487.23 430.3662 274.8492 0.00340529 +144816.22 395.5076 257.5707 0.00629928567 +61647.21 363.1299 241.1202 0.00683344715 +64067.22 333.2081 225.5239 0.00567529735 +66487.23 305.8831 210.9162 0.00858463744 +68906.22 279.8427 196.6846 0.00717384137 +72227.23 258.0491 184.4411 0.00727248238 +75999.23 236.6811 172.2118 0.0095674448 +80405.31 217.4911 160.9947 0.00691671888 +84638.22 198.3658 149.3943 0.00253791253 +88950.32 180.9795 138.7134 0.00246251904 +93353.23 165.456 128.9637 0.00388342632 +97766.23 151.1298 119.8095 0.00269536639 +102242.29 137.9906 111.1715 0.00155080624 +106736.22 126.018 103.1363 0.00257701378 +111320.31 114.423 95.1907 0.00220022726 +115818.22 104.1244 87.9815 0.00229455878 +120293.22 94.9149 81.4054 0.003191238 +124791.32 85.9512 74.872 0.00313368792 +129193.23 78.144 69.0869 0.00248777009 +133415.31 71.1567 63.7977 0.00116661905 +137548.23 64.8878 58.9706 0.00217347648 +141393.22 60.2959 55.3837 0.00268346791 diff --git a/calib_data/_calib_data/calib2018-11-15_p0_c4.dat b/calib_data/_calib_data/calib2018-11-15_p0_c4.dat new file mode 100644 index 0000000..98e2032 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p0_c4.dat @@ -0,0 +1,60 @@ +63754.22 30880.91 68791.2 2.68253611 +65903.22 26884.29 58455.5 20.4906076 +68508.23 21572.57 45004.04 1.41274201 +71473.22 17605.97 35420.79 2.65433419 +73717.22 14555.22 28327.53 1.50983774 +75715.32 12001.47 22586.83 0.911378077 +77713.22 10103.46 18460.73 0.802502336 +79701.32 8576.93 15230.71 0.760979632 +81685.31 7352.88 12720.41 0.552711498 +83654.22 6338.39 10694.23 0.160031247 +85637.22 5495.17 9052.45 0.288183969 +87621.31 4814.118 7760.92 0.200897984 +89599.23 4231.661 6677.46 0.201096992 +91568.22 3743.376 5788.2 0.191311265 +93536.22 3332.385 5054.59 0.442820505 +95509.22 2979.057 4433.071 0.186576794 +97477.22 2673.474 3906.723 0.0947211698 +99445.31 2406.225 3454.666 0.165772133 +101414.22 2178.722 3076.359 0.115086489 +103383.22 1976.566 2744.892 0.111622578 +105352.29 1800.942 2461.811 0.0969272923 +107321.29 1643.281 2211.088 0.101417947 +109295.31 1498.048 1985.085 0.105482226 +111264.22 1373.858 1793.46 0.0669626762 +113232.30 1261.555 1622.736 0.063327719 +115221.31 1160.737 1471.089 0.0500689525 +117205.31 1069.859 1337.026 0.0663807201 +119208.22 982.687 1210.46 0.0271661554 +121215.32 905.438 1100.16 0.0242074369 +123228.22 836.426 1003.303 0.0393967004 +125242.29 768.389 909.303 0.0263077935 +127284.22 708.301 827.667 0.0430360314 +129343.22 652.94 753.855 0.0290946731 +131492.30 601.89 686.821 0.0307717403 +133641.29 553.955 625.084 0.0154402073 +135795.30 509.172 568.289 0.0268123106 +140320.31 468.5031 517.976 0.0276477847 +142564.22 430.3778 470.9817 0.00744989933 +144893.23 395.5105 428.9114 0.0144431299 +61724.23 363.1104 390.3782 0.00770298643 +64144.22 333.2011 355.314 0.0103932671 +66564.22 305.8739 323.7312 0.00853088507 +68983.23 279.8642 294.076 0.00991766101 +72304.22 257.9776 269.4198 0.00536805365 +76076.22 236.6224 245.6949 0.00650914741 +80482.31 217.3644 224.6093 0.0094974207 +84715.31 198.263 203.7292 0.00413473095 +89027.22 180.8907 185.0178 0.0101289684 +93430.31 165.3768 168.5477 0.00563923754 +97843.22 151.0702 153.4997 0.00397756207 +102319.22 137.9323 139.7907 0.00449677662 +106813.22 125.9679 127.4118 0.00375446401 +111397.22 114.3775 115.527 0.00248193473 +115895.31 104.083 105.0437 0.00250219903 +120370.32 94.8733 95.7533 0.00181135309 +124868.23 85.916 86.752 0.00208326667 +129270.31 78.114 78.9711 0.00320140594 +133492.32 71.1276 72.0359 0.0020902153 +137625.32 64.8685 65.8522 0.00247305479 +141470.32 60.2814 61.3419 0.00183548359 diff --git a/calib_data/_calib_data/calib2018-11-15_p0_c5.dat b/calib_data/_calib_data/calib2018-11-15_p0_c5.dat new file mode 100644 index 0000000..21176f7 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p0_c5.dat @@ -0,0 +1,60 @@ +63831.31 30883.04 1200.98 0.0543874986 +65980.32 26943.04 1133.991 0.0454851624 +68585.31 21572.44 1031.802 0.0306528955 +71550.29 17607.54 945.359 0.0661279064 +73794.22 14555.33 870.357 0.0271311629 +75792.29 12002.43 799.015 0.0122678441 +77790.32 10102.28 739.453 0.0132702675 +79778.22 8576.33 686.359 0.027944588 +81762.29 7353.42 639.202 0.0237823464 +83731.29 6338.15 596.259 0.018732325 +85714.22 5494.76 557.191 0.0209499403 +87698.22 4813.993 522.993 0.0233687826 +89676.23 4231.562 491.0261 0.0195481201 +91645.31 3743.562 462.2803 0.0131985226 +93613.22 3332.419 436.2331 0.00959108961 +95586.23 2979.108 412.2673 0.00648852834 +97554.22 2673.449 390.1229 0.0158028162 +99522.29 2406.342 369.5597 0.00817808046 +101491.32 2178.859 350.9404 0.0122378103 +103460.31 1976.42 333.4558 0.0145621427 +105429.22 1801.173 317.421 0.0139312598 +107398.22 1643.224 302.276 0.013685759 +109372.30 1498.082 287.6812 0.00598631773 +111341.32 1373.882 274.4858 0.00735907603 +113309.22 1261.562 261.9809 0.00654133014 +115298.22 1160.772 250.2585 0.0050798622 +117282.29 1069.893 239.1832 0.00659969696 +119285.31 982.659 228.0999 0.00575404206 +121292.30 905.376 217.8237 0.00622904487 +123305.31 836.346 208.2411 0.00667749953 +125319.23 768.374 198.3832 0.00979367143 +127361.32 708.273 189.2805 0.00533151011 +129420.31 652.863 180.5122 0.0092507297 +131569.22 601.921 172.0804 0.00712769247 +133718.23 553.95 163.8025 0.00431798564 +135872.32 509.215 155.6749 0.00743431234 +140397.23 468.5256 148.0748 0.00358273638 +142641.31 430.389 140.594 0.0022181073 +144970.31 395.5305 133.4596 0.00479416312 +61801.30 363.0966 126.5557 0.00282152441 +64221.32 333.2067 119.9298 0.003706211 +66641.31 305.8759 113.6313 0.00336466937 +69060.32 279.8814 107.404 0.00287402157 +72381.32 257.9153 101.9274 0.00356987395 +76153.23 236.5649 96.4245 0.00152479507 +80559.23 217.2847 91.2502 0.0033757962 +84792.31 198.1735 85.9339 0.00306088223 +89104.23 180.8146 80.9119 0.00147952695 +93507.22 165.3096 76.2465 0.00285394464 +97920.29 151.0065 71.8165 0.00306349474 +102396.23 137.8721 67.5701 0.00157130519 +106890.32 125.908 63.5587 0.00265348827 +111474.22 114.3313 59.5336 0.00177313282 +115972.30 104.033 55.8234 0.00257371327 +120447.22 94.8331 52.3886 0.00266157848 +124945.30 85.8908 48.91171 0.00150249459 +129347.23 78.0971 45.79832 0.0013213478 +133569.22 71.1103 42.91945 0.00136917859 +137702.29 64.8488 40.25998 0.00102584599 +141547.22 60.2667 38.25987 0.000933814757 diff --git a/calib_data/_calib_data/calib2018-11-15_p0_c6.dat b/calib_data/_calib_data/calib2018-11-15_p0_c6.dat new file mode 100644 index 0000000..2785df0 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p0_c6.dat @@ -0,0 +1,60 @@ +63908.23 30891.51 5664.921 0.238337786 +66057.22 26915.04 5168.187 0.308836688 +68662.29 21572.92 4459.573 0.239720879 +71627.23 17608.14 3893.92 0.182021977 +73871.30 14553.49 3428.466 0.119165431 +75869.23 12003.44 3011.829 0.0506448418 +77867.22 10102.33 2681.381 0.0993725314 +79855.30 8576.17 2399.678 0.0980591658 +81839.22 7353.38 2161.137 0.0961254389 +83808.23 6337.91 1952.838 0.0794581651 +85791.31 5494.44 1770.656 0.0780153831 +87775.31 4813.73 1616.894 0.0723076759 +89753.22 4231.863 1478.461 0.0194139125 +91722.29 3743.844 1357.845 0.0330529878 +93690.31 3332.565 1252.032 0.0378893125 +95663.22 2979.113 1157.507 0.0470754713 +97631.31 2673.484 1072.587 0.0407933818 +99599.23 2406.342 995.767 0.0377637392 +101568.23 2178.843 928.157 0.0123328829 +103537.22 1976.509 866.033 0.0242507732 +105506.22 1801.122 810.435 0.0489948977 +107475.31 1643.31 759.009 0.0283001767 +109449.22 1498.102 710.577 0.0281087175 +111418.22 1373.878 667.685 0.035951356 +113386.22 1261.573 627.841 0.0322629819 +115375.31 1160.699 591.021 0.0209499403 +117359.23 1069.825 557.007 0.0191859323 +119362.28 982.552 523.546 0.0309903211 +121369.22 905.402 492.9629 0.017777767 +123382.31 836.413 465.0785 0.0161748261 +125396.22 768.411 436.8309 0.019427532 +127438.22 708.265 411.2048 0.0203675232 +129497.22 652.912 386.9824 0.0138001449 +131646.23 601.993 364.0751 0.0156214276 +133795.31 553.953 341.891 0.014333876 +135949.23 509.197 320.6625 0.0117951261 +140474.22 468.5426 301.0043 0.00887135841 +142718.23 430.355 281.9294 0.00541701025 +145047.23 395.5111 264.0869 0.00337772113 +61878.22 363.0772 247.0372 0.004685723 +64298.22 333.1822 230.963 0.00545160527 +66718.23 305.8529 215.8931 0.00771161462 +69137.23 279.8708 201.2355 0.0157488095 +72458.23 257.828 188.4956 0.00794128453 +76230.31 236.4989 175.9039 0.0120386461 +80636.23 217.1784 164.2805 0.00802776432 +84869.22 198.1275 152.3982 0.00750173313 +89181.30 180.7674 141.4237 0.00279660508 +93584.22 165.2653 131.4175 0.00518893053 +97997.22 150.9441 122.0201 0.0025551908 +102473.23 137.8168 113.1638 0.00305548687 +106967.22 125.8549 104.9296 0.00190368065 +111551.31 114.2825 96.7925 0.00178465683 +116049.22 103.9871 89.4089 0.00186788651 +120524.23 94.7977 82.6939 0.00353397793 +125022.32 85.8581 76.0153 0.0033107401 +129424.22 78.0698 70.0996 0.00206009709 +133646.22 71.083 64.6969 0.00144533733 +137779.23 64.829 59.7744 0.00297724705 +141624.23 60.2415 56.1102 0.00166012048 diff --git a/calib_data/_calib_data/calib2018-11-15_p1_c1.dat b/calib_data/_calib_data/calib2018-11-15_p1_c1.dat new file mode 100644 index 0000000..bca99c5 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p1_c1.dat @@ -0,0 +1,60 @@ +64010.31 30896.91 4966.408 0.249434561 +66159.23 26874.57 4541.096 0.18864888 +68764.22 21571.6 3943.665 0.13331354 +71729.22 17603.04 3459.356 0.178438785 +73973.23 14554.81 3060.363 0.0814868087 +75971.30 12000.93 2699.784 0.0937037886 +77969.23 10104.37 2413.082 0.108099954 +79957.23 8575.64 2167.427 0.11422828 +81941.32 7353.25 1958.241 0.079767788 +83910.31 6338.17 1775.166 0.053538771 +85893.23 5495.2 1614.387 0.0787153098 +87877.22 4814.287 1477.593 0.0356945374 +89855.31 4231.79 1355 0.0222710575 +91824.23 3743.701 1247.366 0.0297724705 +93792.29 3332.215 1152.779 0.0336585799 +95765.31 2979.075 1068.033 0.0374179102 +97733.22 2673.346 991.702 0.0340529 +99701.31 2406.304 922.543 0.0161276161 +101670.31 2178.644 861.404 0.0230304147 +103639.21 1976.317 805.082 0.0472821319 +105608.22 1801.011 754.697 0.0340014706 +107577.22 1643.218 707.917 0.0508733722 +109551.31 1498.141 663.804 0.0224588513 +111520.30 1373.909 624.649 0.0329681665 +113488.22 1261.598 588.152 0.0251714124 +115477.22 1160.768 554.455 0.0304384625 +117461.32 1069.84 523.301 0.0164590401 +119464.23 982.661 492.3357 0.0116602316 +121471.31 905.455 464.2974 0.0143333178 +123484.22 836.474 438.5831 0.0165308499 +125498.22 768.441 412.4783 0.0154667708 +127540.31 708.29 388.7582 0.0162202343 +129599.22 652.977 366.3078 0.0134920717 +131748.22 602.056 345.0614 0.0155017418 +133897.22 553.951 324.4238 0.0134519887 +136051.31 509.107 304.6288 0.0169232385 +140576.22 468.53 286.3161 0.00461833303 +142820.31 430.3539 268.5018 0.00835080834 +145149.22 395.5073 251.7791 0.00892574927 +61980.31 363.0455 235.8063 0.00709090967 +64400.31 333.1895 220.7136 0.00669059041 +66820.31 305.8413 206.5774 0.00742993943 +69239.23 279.8967 192.7883 0.00868337492 +72560.31 257.7374 180.7399 0.0110918439 +76332.29 236.4091 168.8458 0.00844843181 +80738.22 217.0695 157.7875 0.00504628576 +84971.30 198.0292 146.6113 0.00512845006 +89283.23 180.6675 136.2098 0.00640281188 +93686.22 165.1899 126.7298 0.00206784912 +98099.22 150.868 117.8005 0.00233773395 +102575.31 137.7531 109.3752 0.00336392628 +107069.23 125.8051 101.5384 0.0021596296 +111653.22 114.2341 93.7828 0.00302258168 +116151.31 103.9403 86.738 0.00184390889 +120626.22 94.7564 80.3106 0.00189314553 +125124.22 85.8111 73.9248 0.00274881793 +129526.23 78.0275 68.2595 0.00269907392 +133748.23 71.0506 63.0811 0.00256300605 +137881.31 64.798 58.3558 0.0029044793 +141726.22 60.2147 54.837 0.00209284495 diff --git a/calib_data/_calib_data/calib2018-11-15_p1_c2.dat b/calib_data/_calib_data/calib2018-11-15_p1_c2.dat new file mode 100644 index 0000000..f4882b5 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p1_c2.dat @@ -0,0 +1,60 @@ +64087.23 30901.37 5316.957 0.24398791 +66236.23 26885.05 4854.918 0.263798408 +68841.30 21572.62 4202.833 0.156333298 +71806.21 17607.47 3677.835 0.305113913 +74050.32 14553.87 3245.55 0.0644360148 +76048.22 12002.15 2856.882 0.125074378 +78046.22 10103.96 2548.067 0.075604894 +80034.22 8574.24 2284.112 0.112665878 +82018.23 7353.21 2060.588 0.0841878851 +83987.22 6337.97 1864.626 0.0848080185 +85970.31 5494.9 1693.163 0.0653000766 +87954.23 4814.223 1547.443 0.0349585469 +89932.30 4231.679 1417.11 0.0272763634 +91901.30 3743.718 1302.912 0.0359666512 +93869.22 3332.513 1202.507 0.0515373651 +95842.29 2979.158 1112.903 0.0230239006 +97810.31 2673.353 1032.215 0.0277218326 +99778.23 2406.25 959.174 0.0282559728 +101747.22 2178.802 894.701 0.0389730676 +103716.23 1976.458 835.477 0.0199524435 +105685.31 1800.963 782.464 0.0195038458 +107654.22 1643.176 733.325 0.0241764348 +109628.23 1498.023 686.905 0.021035684 +111597.22 1373.849 645.863 0.0137149553 +113565.31 1261.569 607.671 0.0363991758 +115554.22 1160.714 572.502 0.0274881793 +117538.22 1069.753 539.833 0.0303660995 +119541.32 982.586 507.731 0.0263988636 +121548.22 905.476 478.2972 0.0144116619 +123561.30 836.491 451.485 0.0138989208 +125575.31 768.431 424.3126 0.0140898545 +127617.22 708.358 399.6182 0.0105050464 +129676.22 652.943 376.261 0.0157740293 +131825.32 602.155 354.2119 0.0188554767 +133974.22 553.951 332.7849 0.0120585654 +136128.22 509.182 312.2719 0.0153924982 +140653.23 468.513 293.2874 0.00670999255 +142897.22 430.3274 274.8322 0.00407627281 +145226.23 395.4944 257.5723 0.00717084374 +62057.21 363.0255 241.0805 0.00469733967 +64477.22 333.1626 225.4948 0.00866579483 +66897.22 305.8254 210.8858 0.00807564239 +69316.22 279.8923 196.6703 0.00445432374 +72637.22 257.6655 184.2357 0.00844517614 +76409.23 236.3508 172.0166 0.00529943393 +80815.31 216.9718 160.6985 0.00743404331 +85048.23 197.9759 149.1571 0.00449544214 +89360.31 180.5997 138.4865 0.00566259658 +93763.22 165.1352 128.7594 0.00263134946 +98176.22 150.8159 119.6116 0.00349914275 +102652.30 137.7019 110.9896 0.00201593651 +107146.23 125.762 102.9563 0.00261553054 +111730.32 114.193 95.0281 0.00392797658 +116228.22 103.9025 87.8251 0.00197711912 +120703.23 94.7267 81.272 0.00269814751 +125201.30 85.7812 74.7571 0.00179694185 +129603.22 78.0056 68.9777 0.00231106036 +133825.31 71.0263 63.6954 0.00216425507 +137958.23 64.78 58.8847 0.00276423588 +141803.22 60.1987 55.3004 0.00262754638 diff --git a/calib_data/_calib_data/calib2018-11-15_p1_c4.dat b/calib_data/_calib_data/calib2018-11-15_p1_c4.dat new file mode 100644 index 0000000..9a8182b --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p1_c4.dat @@ -0,0 +1,60 @@ +64164.23 30902.58 68836.9 25.9616833 +66313.22 26888.5 58415.5 6.1680629 +68918.22 21573.02 45008.78 2.14017756 +71883.22 17608.88 35428.37 2.02923877 +74127.22 14552.34 28322.9 1.25091966 +76125.31 12004.04 22589.75 1.2750098 +78123.22 10102.85 18458.07 0.957397514 +80111.32 8576.42 15228.74 1.06725817 +82095.31 7352.9 12720.68 0.953184138 +84064.22 6338 10692.47 0.265725422 +86047.23 5495.72 9051.96 0.390691694 +88031.30 4813.902 7761.5 0.27784888 +90009.22 4231.682 6677.67 0.237928561 +91978.23 3743.394 5787.98 0.137695316 +93946.22 3332.381 5054.01 0.155209536 +95919.22 2979.417 4433.097 0.19880166 +97887.22 2673.29 3906.594 0.150274416 +99855.31 2406.175 3454.847 0.134335773 +101824.22 2178.825 3076.22 0.0862554346 +103793.22 1976.521 2744.814 0.0818193131 +105762.28 1800.892 2461.825 0.0951971638 +107731.32 1643.218 2211.13 0.0760526134 +109705.31 1498.034 1985.03 0.0850881895 +111674.22 1373.866 1793.58 0.0929946235 +113642.29 1261.587 1622.887 0.145306917 +115631.32 1160.763 1471.134 0.0613221004 +117615.31 1069.839 1337.017 0.0395487042 +119618.22 982.619 1210.502 0.0348367622 +121625.31 905.441 1100.16 0.0269814751 +123638.22 836.422 1003.254 0.0316291005 +125652.30 768.406 909.262 0.0248917657 +127694.23 708.312 827.681 0.0165801086 +129753.22 652.916 753.84 0.0321558704 +131902.32 602.17 687.196 0.0267282622 +134051.31 553.964 625.151 0.0268123106 +136205.31 509.135 568.304 0.0212696968 +140730.31 468.5129 517.983 0.0251017928 +142974.22 430.3429 470.9528 0.0116161956 +145303.23 395.5047 428.8808 0.0147829632 +62134.22 363.0298 390.276 0.00854049179 +64554.22 333.1662 355.2812 0.00775216099 +66974.23 305.8399 323.6738 0.00483487332 +69393.23 279.8864 294.1144 0.0072362974 +72714.22 257.6253 269.0299 0.0099019695 +76486.22 236.3027 245.3417 0.00574116713 +80892.30 216.8666 224.0389 0.00893806467 +85125.30 197.883 203.3015 0.00766713767 +89437.22 180.5308 184.6602 0.00778434326 +93840.32 165.0622 168.2255 0.00732973397 +98253.22 150.7713 153.1899 0.00251177228 +102729.22 137.6634 139.5061 0.00382478758 +107223.22 125.721 127.1513 0.00358901101 +111807.22 114.1578 115.2982 0.00146833239 +116305.31 103.8687 104.835 0.00169115345 +120780.31 94.6985 95.5647 0.00242095023 +125278.23 85.7553 86.5942 0.00212508823 +129680.31 77.9888 78.8383 0.00162511538 +133902.28 71.0036 71.9143 0.00257313039 +138035.32 64.7679 65.7531 0.00263988636 +141880.30 60.1843 61.2483 0.0025221023 diff --git a/calib_data/_calib_data/calib2018-11-15_p1_c5.dat b/calib_data/_calib_data/calib2018-11-15_p1_c5.dat new file mode 100644 index 0000000..92f733e --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p1_c5.dat @@ -0,0 +1,60 @@ +64241.32 30905.19 1201.204 0.0435706323 +66390.31 26872.95 1132.71 0.0491121166 +68995.31 21571.59 1031.822 0.0272690301 +71960.32 17609.01 945.467 0.0423095734 +74204.23 14551.59 870.244 0.028397183 +76202.29 12002.89 798.946 0.0233752005 +78200.30 10103.14 739.526 0.027971414 +80188.23 8575.93 686.255 0.0324114177 +82172.29 7352.7 639.161 0.028193971 +84141.30 6337.99 596.239 0.0226030971 +86124.23 5495.98 557.271 0.027944588 +88108.21 4813.717 523.099 0.051989422 +90086.22 4231.719 491.0326 0.0176302014 +92055.31 3743.606 462.2734 0.0190111546 +94023.22 3332.325 436.2329 0.0165284301 +95996.23 2979.456 412.2696 0.015446812 +97964.23 2673.282 390.1193 0.0132928928 +99932.30 2406.262 369.5599 0.0097410985 +101901.31 2178.763 350.9456 0.0181042536 +103870.30 1976.38 333.4387 0.0141485335 +105839.23 1801.101 317.4261 0.0118848223 +107808.22 1643.373 302.2545 0.0166608823 +109782.30 1498.091 287.6669 0.00995936745 +111751.32 1373.897 274.4992 0.0112024997 +113719.22 1261.572 261.9733 0.00592967115 +115708.22 1160.789 250.2417 0.00687029839 +117692.30 1069.867 239.1837 0.00790955119 +119695.31 982.696 228.0776 0.00833570633 +121702.29 905.392 217.8204 0.00675899401 +123715.31 836.35 208.2414 0.00794254367 +125729.22 768.315 198.3853 0.00543700285 +127771.32 708.25 189.2663 0.00909950548 +129830.31 652.911 180.5002 0.00559964285 +131979.22 602.111 172.1119 0.00533563492 +134128.22 553.911 163.803 0.00810678728 +136282.28 509.165 155.679 0.00602162769 +140807.23 468.5245 148.0819 0.00297808663 +143051.31 430.361 140.5871 0.00325714599 +145380.31 395.5315 133.4582 0.00290792022 +62211.31 363.0369 126.5472 0.00297590322 +64631.32 333.194 119.9243 0.00267600448 +67051.29 305.8513 113.6192 0.00395170849 +69470.31 279.9067 107.4022 0.00618999192 +72791.30 257.5892 101.8477 0.00297674319 +76563.22 236.2774 96.3459 0.00437595704 +80969.23 216.7993 91.1219 0.00245132617 +85202.30 197.8106 85.8314 0.00370729012 +89514.22 180.4775 80.8095 0.00275408787 +93917.22 165.0089 76.1569 0.00199223493 +98330.31 150.7213 71.7283 0.00270942798 +102806.22 137.6193 67.4857 0.00192898937 +107300.29 125.6771 63.4827 0.00367164813 +111884.23 114.1176 59.4595 0.00232916294 +116382.30 103.8345 55.7452 0.00284885942 +120857.22 94.67 52.3239 0.0022020445 +125355.31 85.74 48.84995 0.00176885556 +129757.22 77.9713 45.74871 0.00204711749 +133979.23 70.9948 42.8725 0.00175111393 +138112.29 64.7513 40.21926 0.00113041585 +141957.23 60.1708 38.22165 0.00160594209 diff --git a/calib_data/_calib_data/calib2018-11-15_p1_c6.dat b/calib_data/_calib_data/calib2018-11-15_p1_c6.dat new file mode 100644 index 0000000..b76a887 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p1_c6.dat @@ -0,0 +1,60 @@ +64318.22 30912.68 5666.949 0.202506543 +66467.22 26870.64 5161.703 0.241822456 +69072.28 21572.69 4459.64 0.172273039 +72037.23 17610.02 3894.121 0.0951046792 +74281.29 14552.76 3428.473 0.0649006934 +76279.22 12003.46 3011.935 0.133433504 +78277.22 10104.54 2681.47 0.087840765 +80265.31 8574.78 2400.074 0.0657297497 +82249.22 7352.21 2161.356 0.0664860888 +84218.22 6337.08 1952.845 0.0572756493 +86201.29 5495.1 1770.877 0.0656970319 +88185.31 4813.783 1617.082 0.119044529 +90163.22 4231.956 1478.522 0.0322428287 +92132.29 3743.799 1357.833 0.0455203251 +94100.31 3332.63 1251.999 0.0420820627 +96073.22 2979.158 1157.491 0.0402106951 +98041.29 2673.333 1072.613 0.0373108563 +100009.22 2406.374 995.853 0.017149344 +101978.23 2178.558 928.123 0.0446553468 +103947.22 1976.457 866.059 0.022425432 +105916.22 1801.094 810.476 0.0424782297 +107885.31 1643.335 759.037 0.0345268012 +109859.23 1498.089 710.588 0.0210142809 +111828.22 1373.872 667.651 0.0281584801 +113796.23 1261.562 627.837 0.0151690474 +115785.31 1160.689 591.081 0.0168196314 +117769.22 1069.843 557.076 0.0195038458 +119772.32 982.617 523.628 0.013985707 +121779.22 905.423 492.9647 0.0206179776 +123792.31 836.419 465.0924 0.0219545895 +125806.23 768.326 436.8449 0.019290127 +127848.23 708.281 411.2124 0.0154791473 +129907.22 652.941 386.9831 0.0115277491 +132056.23 602.104 364.1487 0.012510036 +134205.31 553.941 341.9044 0.0137493273 +136359.22 509.227 320.6641 0.0140310014 +140884.23 468.5208 300.9981 0.00670738399 +143128.22 430.3482 281.9206 0.00696735244 +145457.22 395.5109 264.0688 0.00514159508 +62288.22 363.0069 247.013 0.00758551251 +64708.22 333.1708 230.9372 0.00725920106 +67128.22 305.8166 215.8857 0.00721810224 +69547.23 279.9064 201.2672 0.0047133852 +72868.22 257.5274 188.316 0.00632455532 +76640.29 236.2411 175.7444 0.00565543986 +81046.22 216.7088 164.0301 0.0113088019 +85279.22 197.7881 152.185 0.00509116882 +89591.29 180.4342 141.2259 0.00493649673 +93994.22 164.9838 131.2335 0.00585533944 +98407.22 150.6709 121.8464 0.00192457788 +102883.22 137.5776 113.0057 0.00309854805 +107377.23 125.637 104.78 0.00164924225 +111961.32 114.0815 96.6499 0.00235138257 +116459.22 103.804 89.273 0.00285306852 +120934.22 94.6362 82.5666 0.00288859828 +125432.29 85.7141 75.9072 0.00196367003 +129834.23 77.9518 70.0068 0.00236558661 +134056.23 70.9806 64.6111 0.00265122613 +138189.22 64.732 59.7001 0.00272194783 +142034.23 60.1618 56.0383 0.00156236999 diff --git a/calib_data/_calib_data/calib2018-11-15_p2_c1.dat b/calib_data/_calib_data/calib2018-11-15_p2_c1.dat new file mode 100644 index 0000000..adf013a --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p2_c1.dat @@ -0,0 +1,60 @@ +64420.32 30919.36 4968.535 0.254689026 +66569.23 26889.4 4543.267 0.265337709 +69174.22 21570.53 3943.536 0.145576097 +72139.22 17602.9 3459.534 0.127021258 +74383.22 14553.31 3059.864 0.0850317588 +76381.29 12001.79 2699.665 0.115154244 +78379.23 10103.26 2413.229 0.0922653781 +80367.22 8576.05 2167.259 0.0832640379 +82351.32 7352.73 1958.448 0.0479124201 +84320.31 6337.59 1774.972 0.129134039 +86303.23 5494.67 1614.375 0.113439411 +88287.22 4814.434 1477.518 0.0289067466 +90265.31 4232.033 1355.009 0.0252764713 +92234.22 3743.912 1247.437 0.0214965113 +94202.29 3332.505 1152.774 0.0278998208 +96175.31 2979.183 1068.112 0.0186975934 +98143.22 2673.419 991.723 0.0258089132 +100111.30 2406.233 922.45 0.052744668 +102080.31 2178.628 861.38 0.0393954312 +104049.22 1976.613 805.117 0.0277146171 +106018.22 1800.889 754.7 0.0264575131 +107987.22 1643.246 707.85 0.036138622 +109961.30 1498.153 663.827 0.0350727815 +111930.31 1373.925 624.573 0.023918612 +113898.22 1261.646 588.132 0.0232292919 +115887.23 1160.751 554.494 0.0118490506 +117871.32 1069.77 523.263 0.0253001976 +119874.22 982.711 492.3441 0.0186013172 +121881.31 905.415 464.3044 0.0128648358 +123894.23 836.487 438.5675 0.0161921277 +125908.22 768.373 412.4883 0.0151842352 +127950.31 708.3 388.7629 0.0187325652 +130009.22 652.918 366.2962 0.0103438871 +132158.22 602.208 345.1183 0.0159637402 +134307.22 553.958 324.4312 0.0148793817 +136461.32 509.079 304.6493 0.0128546101 +140986.22 468.5327 286.3101 0.00883792962 +143230.31 430.3404 268.4788 0.00858929566 +145559.23 395.4954 251.8022 0.0123602589 +62390.31 363.0154 235.7953 0.00797627733 +64810.30 333.1331 220.716 0.00734438561 +67230.31 305.8149 206.5435 0.0148096252 +69649.23 279.8977 192.7818 0.00628935609 +72970.31 257.4716 180.5645 0.00679006627 +76742.31 236.1884 168.7111 0.00532249941 +81148.22 216.6425 157.5745 0.00602370318 +85381.31 197.7207 146.428 0.0037094474 +89693.22 180.3693 136.0397 0.00479802043 +94096.22 164.9212 126.5712 0.00310419072 +98509.22 150.6289 117.6374 0.00306985342 +102985.31 137.5261 109.234 0.00248596058 +107479.23 125.5941 101.4002 0.00378100516 +112063.22 114.0465 93.6564 0.00167451486 +116561.32 103.7638 86.617 0.00313368792 +121036.22 94.602 80.2039 0.00127632284 +125534.22 85.6795 73.8273 0.00216356188 +129936.22 77.9215 68.1826 0.00269518088 +134158.22 70.9498 63.0046 0.00237991596 +138291.31 64.7117 58.2916 0.00221449769 +142136.22 60.143 54.7786 0.00239248824 diff --git a/calib_data/_calib_data/calib2018-11-15_p2_c2.dat b/calib_data/_calib_data/calib2018-11-15_p2_c2.dat new file mode 100644 index 0000000..1100942 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p2_c2.dat @@ -0,0 +1,60 @@ +64497.22 30927.55 5319.696 0.257469221 +66646.22 26896.73 4855.683 0.195678563 +69251.30 21572.55 4202.709 0.215742671 +72216.22 17608.89 3678.183 0.20514897 +74460.32 14554.16 3245.595 0.0589957626 +76458.22 12002.43 2857.358 0.119539115 +78456.23 10104.44 2548.552 0.0589542195 +80444.22 8576.32 2284.321 0.0652755697 +82428.22 7353.14 2060.647 0.0631355684 +84397.22 6337.17 1864.581 0.126273117 +86380.32 5494.43 1693.244 0.0633592929 +88364.23 4814.478 1547.45 0.0271293199 +90342.29 4231.987 1417.095 0.0457875529 +92311.31 3743.747 1302.899 0.0315103158 +94279.22 3332.387 1202.564 0.0462428373 +96252.29 2979.128 1112.93 0.0270554985 +98220.31 2673.257 1032.209 0.0212814473 +100188.23 2406.112 959.143 0.0337060825 +102157.22 2178.799 894.695 0.0280089271 +104126.23 1976.599 835.453 0.0346424595 +106095.31 1800.884 782.415 0.0243413229 +108064.23 1643.435 733.31 0.038340579 +110038.23 1498.044 686.983 0.0386018134 +112007.22 1373.863 645.907 0.0130422391 +113975.31 1261.573 607.684 0.0168641632 +115964.23 1160.668 572.474 0.024049948 +117948.23 1069.736 539.819 0.0202706685 +119951.32 982.674 507.683 0.0143561833 +121958.22 905.496 478.3061 0.0108769941 +123971.30 836.491 451.4876 0.0135389808 +125985.31 768.408 424.2983 0.0130269336 +128027.22 708.345 399.6149 0.017484536 +130086.23 652.98 376.258 0.0122237474 +132235.31 602.249 354.2563 0.0115464713 +134384.22 553.994 332.7829 0.0135848813 +136538.23 509.163 312.2711 0.010407161 +141063.23 468.5134 293.2954 0.0117560197 +143307.23 430.3261 274.8504 0.00676786525 +145636.22 395.4747 257.5734 0.00790594713 +62467.21 362.9986 241.0494 0.00730506673 +64887.22 333.1191 225.4722 0.00491487538 +67307.22 305.7816 210.855 0.00916624241 +69726.23 279.891 196.6902 0.00830036144 +73047.23 257.4246 184.0944 0.00994907031 +76819.23 236.1488 171.8722 0.00492909728 +81225.31 216.5795 160.4785 0.00896688352 +85458.22 197.6788 148.9731 0.0043622242 +89770.32 180.3479 138.3129 0.0031351236 +94173.22 164.8982 128.5988 0.0043331282 +98586.23 150.5807 119.4489 0.00247163913 +103062.29 137.4867 110.8358 0.0028170907 +107556.22 125.5557 102.8248 0.00246089415 +112140.32 114.0099 94.9062 0.00234861661 +116638.22 103.7384 87.71 0.0031144823 +121113.22 94.577 81.1566 0.00195550505 +125611.32 85.6557 74.6598 0.00214382835 +130013.22 77.9048 68.8979 0.00213283848 +134235.31 70.9311 63.6248 0.00203371581 +138368.22 64.6955 58.8217 0.00210736803 +142213.22 60.1317 55.2461 0.00253948814 diff --git a/calib_data/_calib_data/calib2018-11-15_p2_c4.dat b/calib_data/_calib_data/calib2018-11-15_p2_c4.dat new file mode 100644 index 0000000..90e0109 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p2_c4.dat @@ -0,0 +1,60 @@ +64574.22 30931.06 68929.3 2.31969826 +66723.22 26892.64 58417.7 2.02014851 +69328.22 21573.53 45006.38 1.26006349 +72293.23 17611.88 35427.32 1.35983823 +74537.22 14553.52 28321.16 1.34165569 +76535.31 12002.22 22587.61 1.26739497 +78533.22 10103.51 18453.93 1.21359384 +80521.31 8577.88 15226.52 0.772502427 +82505.31 7353.16 12720.02 0.2795711 +84474.23 6337.72 10692.7 0.734846923 +86457.22 5495.56 9053.56 0.340646444 +88441.30 4814.164 7760.51 0.197711912 +90419.23 4231.579 6677.14 0.490754521 +92388.23 3743.617 5788.23 0.121696343 +94356.23 3332.291 5053.75 0.316306813 +96329.22 2979.234 4432.906 0.186199893 +98297.22 2673.33 3906.581 0.210006905 +100265.32 2406.224 3454.745 0.172129312 +102234.22 2178.809 3076.221 0.145701407 +104203.22 1976.486 2744.92 0.0697423831 +106172.29 1800.892 2461.862 0.105818713 +108141.31 1643.384 2211.093 0.119264831 +110115.31 1498.062 1984.923 0.0844636016 +112084.23 1373.836 1793.571 0.114572684 +114052.30 1261.539 1622.557 0.0886007901 +116041.32 1160.717 1471.081 0.0558650159 +118025.31 1069.818 1337.019 0.0384564689 +120028.22 982.631 1210.471 0.0522197281 +122035.31 905.481 1100.155 0.0226384628 +124048.22 836.424 1003.292 0.0230997835 +126062.30 768.4 909.321 0.0175755512 +128104.22 708.342 827.702 0.020238577 +130163.23 652.933 753.847 0.0236241402 +132312.30 602.181 687.28 0.0261916017 +134461.33 553.992 625.136 0.0135055544 +136615.32 509.13 568.269 0.0300815558 +141140.30 468.5037 517.986 0.0216887067 +143384.22 430.3426 470.959 0.0217958712 +145713.22 395.4826 428.8726 0.00632803287 +62544.23 363.0041 390.2536 0.010360695 +64964.22 333.1118 355.2218 0.0115998276 +67384.23 305.788 323.6347 0.00647618715 +69803.23 279.9041 294.1324 0.00584157513 +73124.22 257.384 268.7671 0.00565234465 +76896.22 236.1094 245.1162 0.00653421763 +81302.32 216.5135 223.6876 0.00503428247 +85535.31 197.6024 203.0134 0.00750892802 +89847.22 180.2769 184.3848 0.00688592768 +94250.32 164.826 167.9621 0.00354527855 +98663.22 150.5445 152.9441 0.00349127484 +103139.22 137.4565 139.2931 0.00439874982 +107633.23 125.5231 126.9578 0.00239081576 +112217.23 113.9808 115.1209 0.00146594679 +116715.31 103.7171 104.6749 0.00333001501 +121190.31 94.5568 95.4183 0.00308561177 +125688.23 85.6342 86.472 0.00175499288 +130090.30 77.8866 78.7447 0.00220476756 +134312.30 70.9198 71.8303 0.00251017928 +138445.31 64.6931 65.6771 0.00200224874 +142290.31 60.1226 61.1815 0.00136565003 diff --git a/calib_data/_calib_data/calib2018-11-15_p2_c5.dat b/calib_data/_calib_data/calib2018-11-15_p2_c5.dat new file mode 100644 index 0000000..974a6e8 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p2_c5.dat @@ -0,0 +1,60 @@ +64651.32 30937.51 1201.711 0.0482172168 +66800.31 26889.85 1132.964 0.0415499699 +69405.31 21572.31 1031.821 0.0446419086 +72370.31 17606.83 945.377 0.0353850251 +74614.22 14552.79 870.249 0.0175755512 +76612.31 12001.79 799.036 0.0176748409 +78610.31 10101.09 739.459 0.016878981 +80598.22 8577.58 686.273 0.0205936884 +82582.29 7353.09 639.251 0.0213752193 +84551.32 6338.13 596.203 0.0324976922 +86534.23 5496.06 557.195 0.029504237 +88518.22 4813.869 523.047 0.0257701378 +90496.21 4231.477 491.039 0.0163645959 +92465.31 3743.767 462.2633 0.0159242268 +94433.22 3332.437 436.2355 0.010456816 +96406.23 2979.233 412.2833 0.0118135939 +98374.22 2673.448 390.1315 0.00762528688 +100342.29 2406.231 369.5598 0.0126133263 +102311.29 2178.863 350.9496 0.0124613001 +104280.31 1976.463 333.4559 0.0111932569 +106249.22 1801.052 317.4253 0.00922718809 +108218.23 1643.31 302.2649 0.0102210078 +110192.28 1498.086 287.6776 0.00662902708 +112161.31 1373.87 274.4808 0.00535499767 +114129.23 1261.59 261.9736 0.00738268244 +116118.23 1160.769 250.2318 0.00607420777 +118102.29 1069.849 239.1771 0.00309661105 +120105.31 982.66 228.0957 0.00612870296 +122112.33 905.381 217.8196 0.00879226933 +124125.31 836.379 208.2519 0.00439647586 +126139.22 768.346 198.3934 0.00486867538 +128181.31 708.286 189.2712 0.00658148919 +130240.31 652.883 180.5178 0.00330696235 +132389.22 602.141 172.1335 0.0118947467 +134538.23 553.923 163.8134 0.00615987013 +136692.29 509.15 155.6764 0.00677524907 +141217.23 468.5248 148.075 0.00313687743 +143461.32 430.3549 140.5896 0.00304039471 +145790.31 395.5068 133.4571 0.00276929594 +62621.31 363.0146 126.5343 0.00449677662 +65041.31 333.1232 119.9143 0.00273148311 +67461.32 305.8084 113.6099 0.00146594679 +69880.31 279.911 107.4107 0.00229804265 +73201.31 257.3616 101.7903 0.00276423588 +76973.23 236.0847 96.2921 0.00243905719 +81379.22 216.4694 91.0317 0.00193416649 +85612.30 197.5467 85.7541 0.00372411063 +89924.23 180.211 80.7322 0.00255264569 +94327.22 164.7821 76.0905 0.00353906767 +98740.31 150.5011 71.6547 0.00253001976 +103216.22 137.4187 67.4168 0.00312665956 +107710.31 125.4928 63.4178 0.00167809416 +112294.22 113.9524 59.4022 0.00293189359 +116792.29 103.6895 55.6942 0.00227947362 +121267.23 94.5316 52.274 0.00244131112 +125765.32 85.6173 48.80798 0.00094146694 +130167.22 77.8742 45.71173 0.00160673893 +134389.23 70.9169 42.83991 0.00119326862 +138522.29 64.6934 40.19046 0.00126792744 +142367.22 60.1165 38.19381 0.0017273361 diff --git a/calib_data/_calib_data/calib2018-11-15_p2_c6.dat b/calib_data/_calib_data/calib2018-11-15_p2_c6.dat new file mode 100644 index 0000000..7e5938a --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-15_p2_c6.dat @@ -0,0 +1,60 @@ +64728.23 30949.99 5671.382 0.241598013 +66877.22 26893.89 5164.504 0.185823572 +69482.29 21572.07 4459.455 0.149908305 +72447.23 17602.7 3893.609 0.168590925 +74691.31 14554.22 3428.557 0.0881368254 +76689.23 12002.2 3011.952 0.0894516629 +78687.22 10102.02 2681.171 0.09893887 +80675.31 8575 2399.81 0.096405394 +82659.22 7352.79 2161.233 0.0830307172 +84628.22 6337.42 1952.642 0.093870123 +86611.30 5495.23 1770.801 0.0985540461 +88595.31 4813.848 1616.937 0.0813148203 +90573.22 4231.751 1478.446 0.0253456111 +92542.29 3744.072 1357.849 0.0653980122 +94510.29 3332.678 1252.033 0.0353001416 +96483.23 2979.25 1157.499 0.0187856328 +98451.29 2673.389 1072.605 0.0372088699 +100419.23 2406.197 995.772 0.0295228725 +102388.23 2178.795 928.191 0.0265122613 +104357.22 1976.514 866.05 0.023194827 +106326.22 1801.086 810.487 0.0191859323 +108295.31 1643.231 759.039 0.0412662089 +110269.22 1498.081 710.613 0.0240852652 +112238.22 1373.932 667.652 0.0210142809 +114206.22 1261.566 627.84 0.0288790582 +116195.31 1160.71 591.012 0.024240462 +118179.23 1069.81 557.048 0.0152184099 +120182.29 982.642 523.627 0.0173233946 +122189.22 905.446 492.9698 0.0163210294 +124202.28 836.483 465.0857 0.0177155581 +126216.22 768.34 436.8289 0.0147210394 +128258.22 708.308 411.1943 0.0203420992 +130317.22 652.934 386.9683 0.0097036591 +132466.22 602.203 364.1825 0.0150726574 +134615.31 553.971 341.9254 0.00681645069 +136769.22 509.184 320.6599 0.0109502968 +141294.22 468.535 301.0083 0.00828498642 +143538.23 430.3406 281.9321 0.00877319782 +145867.22 395.4967 264.0733 0.00863718704 +62698.22 362.9971 247.0103 0.00565694264 +65118.22 333.1034 230.9184 0.00404277133 +67538.22 305.7833 215.8485 0.00647649597 +69957.22 279.9104 201.2481 0.0073108823 +73278.23 257.3209 188.2109 0.00541008318 +77050.31 236.0515 175.6527 0.00854406227 +81456.22 216.413 163.8421 0.0093802452 +85689.21 197.5269 152.0276 0.00590118632 +90001.33 180.1811 141.0695 0.0060930288 +94404.23 164.7697 131.0963 0.00495993952 +98817.23 150.4614 121.6994 0.00350199943 +103293.23 137.3823 112.8713 0.00242095023 +107787.22 125.464 104.6535 0.00163859696 +112371.32 113.9246 96.5406 0.00195550505 +116869.23 103.6601 89.1726 0.00274299107 +121344.22 94.5052 82.4763 0.00167958328 +125842.29 85.6002 75.8321 0.00349699871 +130244.22 77.8617 69.9416 0.00181218101 +134466.23 70.9008 64.5559 0.00178577714 +138599.22 64.6794 59.6529 0.00247163913 +142444.22 60.1078 56.0011 0.00180803761 diff --git a/calib_data/_calib_data/calib2018-11-20_p0_c1.dat b/calib_data/_calib_data/calib2018-11-20_p0_c1.dat new file mode 100644 index 0000000..14e9c55 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p0_c1.dat @@ -0,0 +1,60 @@ +49483.22 30604.75 4949.977 0.126846758 +51615.30 26925.41 4556.981 0.23412155 +55875.32 21540.84 3947.854 0.257379875 +57844.22 17537.45 3458.125 0.526955881 +59823.22 14532.5 3063.731 0.0685193403 +61792.28 11986.92 2703.664 0.0611260992 +63765.32 10093.04 2416.519 0.108650357 +65733.23 8569.4 2170.717 0.0882615432 +67701.30 7348.55 1961.447 0.099679988 +69669.22 6334.54 1777.95 0.0469680743 +71621.29 5492.95 1617.28 0.0678527818 +73597.22 4812.243 1480.149 0.0578351104 +75549.21 4230.134 1357.405 0.0206518764 +77505.31 3742.32 1249.674 0.020746084 +79456.21 3331.325 1154.839 0.0547074035 +81407.22 2977.964 1069.986 0.0289551377 +83359.22 2672.463 993.562 0.0426567697 +85328.22 2405.462 924.199 0.0211400095 +87310.31 2178.318 863.01 0.032984845 +89278.23 1976.192 806.686 0.0326557805 +91247.22 1799.929 756.001 0.0380644191 +93216.23 1642.294 709.131 0.0178577714 +95194.22 1497.453 664.985 0.0187749834 +97163.23 1373.431 625.762 0.0289413199 +99151.31 1261.209 589.289 0.0247971773 +101135.31 1160.418 555.559 0.0223360695 +103118.23 1069.506 524.297 0.0265725422 +105122.32 982.488 493.3135 0.0135979778 +107125.31 905.213 465.1949 0.0191271796 +109124.23 836.269 439.4471 0.0142382934 +111138.23 768.294 413.3116 0.0181191611 +113151.32 708.26 389.5594 0.0156334257 +115192.32 652.965 367.0772 0.0153920759 +117278.22 602.288 345.8806 0.0202885189 +119382.28 554.134 325.188 0.00949526198 +121558.22 509.213 305.2552 0.020864707 +123795.31 468.5898 286.9066 0.00527674142 +126079.22 430.4041 269.0587 0.00747937163 +128450.31 395.63 252.3374 0.00792742077 +130990.30 363.3256 236.3939 0.00967000517 +133797.22 333.7329 221.4028 0.00725368872 +136888.22 305.59 206.7776 0.00498838651 +139618.22 280.319 193.3409 0.00897490947 +143784.22 259.5404 182.0092 0.00778948009 +150044.22 237.9463 169.9678 0.00872330213 +154445.31 217.2392 158.0328 0.00590389702 +158762.29 198.882 147.2903 0.00467985042 +163287.22 181.3815 136.7911 0.00355654327 +167716.21 166.0534 127.3832 0.00330998489 +172302.29 151.5676 118.3271 0.0041963079 +176977.24 138.4463 109.8867 0.00345557521 +181649.24 126.412 101.9822 0.0029826163 +186412.30 114.8135 94.1795 0.00258553669 +191118.24 104.4932 87.0895 0.00254263643 +195822.27 95.2578 80.6189 0.0018732325 +200527.25 86.2842 74.1966 0.00307310917 +205141.33 78.4606 68.4801 0.00216540989 +209665.33 71.3962 63.2247 0.00162511538 +214005.33 65.1153 58.4662 0.0030258883 +218074.24 60.4792 54.8972 0.00234008547 diff --git a/calib_data/_calib_data/calib2018-11-20_p0_c2.dat b/calib_data/_calib_data/calib2018-11-20_p0_c2.dat new file mode 100644 index 0000000..493eb88 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p0_c2.dat @@ -0,0 +1,60 @@ +49560.32 30592.08 1075.303 0.032095171 +51692.29 26919.32 1021.191 0.0386121742 +55952.32 21536.88 932.533 0.0255753788 +57921.31 17541.39 856.659 0.0437367123 +59900.31 14530.68 792.015 0.0268793601 +61869.22 11987.05 729.83 0.0247386338 +63842.28 10093.6 677.501 0.0186788651 +65810.31 8570.32 630.599 0.0395840877 +67778.22 7348.93 588.927 0.032095171 +69746.22 6335.17 550.755 0.0365034245 +71698.22 5492.9 515.983 0.0185499326 +73674.23 4812.273 485.1813 0.0123847083 +75626.22 4230.291 456.6518 0.00997176013 +77582.27 3742.209 430.7641 0.0139323006 +79533.22 3331.37 407.275 0.00964261375 +81484.23 2978.062 385.6142 0.00848386704 +83436.21 2672.592 365.5353 0.0108977521 +85405.30 2405.578 346.8414 0.00980836378 +87387.22 2178.262 329.9135 0.010529245 +89355.31 1976.275 313.9425 0.0120658609 +91324.23 1800.125 299.2448 0.0136321678 +93293.22 1642.378 285.3639 0.0118012287 +95271.32 1497.411 271.9786 0.00385797875 +97240.32 1373.41 259.861 0.0122735488 +99228.22 1261.17 248.3323 0.00765774118 +101212.29 1160.375 237.5143 0.00788676106 +103195.31 1069.473 227.2932 0.0114924323 +105199.22 982.477 217.031 0.00915532632 +107202.29 905.16 207.5055 0.0105368401 +109201.32 836.28 198.6107 0.00599841646 +111215.31 768.235 189.4354 0.00614361457 +113228.23 708.203 180.9418 0.00589033106 +115269.22 652.949 172.7709 0.00493244361 +117355.31 602.299 164.9382 0.00873933636 +119459.22 554.204 157.08 0.00770584194 +121635.32 509.211 149.468 0.00539444158 +123872.29 468.5963 142.3105 0.00382687862 +126156.23 430.4029 135.2407 0.00403744969 +128527.22 395.6119 128.5127 0.00423568176 +131067.23 363.293 121.9919 0.00257079754 +133874.22 333.6612 115.7589 0.00487944669 +136965.30 305.5879 109.6046 0.00363373087 +139695.31 280.2556 103.823 0.00356089876 +143861.36 259.4182 98.8858 0.00254086599 +150121.30 237.8473 93.5826 0.00383197077 +154522.29 217.1443 88.2698 0.00473455383 +158839.22 198.7962 83.3755 0.00432492775 +163364.23 181.2935 78.5272 0.00237402612 +167793.22 165.9728 74.1011 0.00179136819 +172379.23 151.4916 69.7923 0.00398509724 +177054.24 138.3742 65.7024 0.00210333069 +181726.23 126.3483 61.8015 0.00221472346 +186489.24 114.761 57.9164 0.00196061215 +191195.33 104.4368 54.3077 0.00268346791 +195899.24 95.2102 50.9808 0.00435155145 +200604.24 86.2481 47.5953 0.00106901824 +205218.24 78.4249 44.56 0.00168528929 +209742.27 71.367 41.73598 0.00124384887 +214082.27 65.0881 39.13968 0.000617705431 +218151.36 60.4599 37.17298 0.000657692937 diff --git a/calib_data/_calib_data/calib2018-11-20_p0_c4.dat b/calib_data/_calib_data/calib2018-11-20_p0_c4.dat new file mode 100644 index 0000000..78682a6 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p0_c4.dat @@ -0,0 +1,60 @@ +49637.22 30582.67 5424.929 0.166074983 +51769.22 26920.36 4986.565 0.164415632 +56029.22 21535.98 4303.923 0.297267724 +57998.22 17536.54 3757.737 0.472070016 +59977.22 14529.5 3318.277 0.08490053 +61946.22 11987.72 2919.561 0.133958576 +63919.22 10093.24 2602.433 0.102499268 +65887.22 8570.23 2331.938 0.171019297 +67855.31 7349.18 2102.572 0.0879977272 +69823.22 6335.4 1901.515 0.126334872 +71775.31 5493.08 1726.158 0.0485345238 +73751.30 4812.591 1576.936 0.0266157848 +75703.28 4230.374 1443.509 0.0317631862 +77659.23 3742.36 1326.735 0.031344856 +79610.31 3331.404 1224.215 0.0277218326 +81561.30 2978.113 1132.528 0.0306202547 +83513.22 2672.572 1050.168 0.0254872517 +85482.29 2405.793 975.572 0.0275245345 +87464.23 2178.245 909.898 0.0186440339 +89432.29 1976.199 849.507 0.0276785115 +91401.30 1800.105 795.145 0.0288183969 +93370.31 1642.578 745.19 0.0237486842 +95348.23 1497.452 697.964 0.0359777709 +97317.22 1373.395 656.139 0.0290327401 +99305.31 1261.163 617.268 0.0239081576 +101289.23 1160.379 581.411 0.0281584801 +103272.30 1069.469 548.17 0.018493242 +105276.22 982.417 515.456 0.0270628897 +107279.22 905.196 485.5576 0.0204563926 +109278.22 836.28 458.2758 0.0122758299 +111292.29 768.301 430.6525 0.0145177478 +113305.31 708.219 405.5515 0.0192401923 +115346.22 652.975 381.8472 0.0122104873 +117432.29 602.285 359.5114 0.0147581842 +119536.22 554.236 337.7011 0.0133659642 +121712.32 509.199 316.7746 0.00999019519 +123949.23 468.5885 297.4841 0.00536367411 +126233.22 430.4089 278.7312 0.00553136511 +128604.22 395.5917 261.1901 0.00710837534 +131144.23 363.2677 244.4751 0.00934606869 +133951.30 333.6 228.7747 0.0063561781 +137042.32 305.5749 213.566 0.00867064011 +139772.31 280.2068 199.4273 0.0110445009 +143950.31 259.2817 187.5297 0.0107842941 +150198.22 237.7481 174.9855 0.00869281312 +154599.22 217.0264 162.6273 0.00783077263 +158916.22 198.7017 151.4007 0.00487657667 +163441.29 181.2088 140.5084 0.00353892639 +167870.30 165.8836 130.7295 0.00454807652 +172456.22 151.4197 121.3457 0.00340308683 +177131.37 138.3141 112.6016 0.00269518088 +181803.23 126.2937 104.4212 0.00332505639 +186566.24 114.7119 96.3648 0.00325207626 +191272.28 104.3822 89.0343 0.00214965113 +195976.24 95.1698 82.3673 0.00444308451 +200681.38 86.2098 75.741 0.00175499288 +205295.33 78.389 69.8643 0.00281087175 +209819.24 71.3408 64.4517 0.0027204779 +214159.24 65.0624 59.553 0.00261151297 +218228.24 60.4362 55.8812 0.0024240462 diff --git a/calib_data/_calib_data/calib2018-11-20_p0_c5.dat b/calib_data/_calib_data/calib2018-11-20_p0_c5.dat new file mode 100644 index 0000000..6430edf --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p0_c5.dat @@ -0,0 +1,60 @@ +49714.22 30570.11 44198.2 0.49132474 +51846.23 26923.23 38504.5 1.7067513 +56106.23 21538.49 30245.66 1.97495316 +58075.31 17534.44 24236.56 2.15249623 +60054.22 14529.89 19819.12 1.7594772 +62023.22 11987.47 16132.06 1.03713066 +63996.22 10093.44 13424.26 0.647950615 +65964.22 8569.68 11282.87 0.91597489 +67932.30 7349.2 9591.43 0.390141 +69900.32 6335.5 8201.89 0.356777241 +71852.28 5493.77 7062.27 0.396244874 +73828.22 4812.384 6151.55 0.245458754 +75780.31 4230.159 5379.44 0.36747789 +77736.21 3742.574 4735.042 0.175663314 +79687.22 3331.499 4198.693 0.174396388 +81638.22 2978.256 3741.113 0.1675294 +83590.31 2672.39 3347.785 0.0917414846 +85559.23 2405.772 3006.72 0.0740675367 +87541.30 2178.281 2717.83 0.0760920495 +89509.22 1976.034 2462.263 0.142232556 +91478.22 1800.022 2240.805 0.153982142 +93447.22 1642.516 2043.607 0.0920874584 +95425.31 1497.412 1863.903 0.0644833312 +97394.22 1373.383 1709.688 0.0621095806 +99382.30 1261.262 1569.959 0.0618619431 +101366.22 1160.5 1445.497 0.0428730685 +103349.22 1069.576 1333.496 0.0463724056 +105353.22 982.45 1226.225 0.0660794976 +107356.22 905.255 1131.222 0.0489652938 +109355.31 836.297 1046.591 0.0331496606 +111369.22 768.347 963.069 0.0356777241 +113382.29 708.27 889.319 0.0364540807 +115423.22 653.044 821.273 0.0399011278 +117509.22 602.278 758.89 0.0351283361 +119613.22 554.191 699.45 0.0304630924 +121789.23 509.168 643.882 0.0326741488 +124026.22 468.5665 593.891 0.0367545915 +126310.31 430.3733 546.421 0.0240603408 +128681.32 395.5598 502.965 0.012980755 +131221.31 363.243 462.4391 0.0184994324 +134028.22 333.5488 425.2783 0.0115819256 +137119.22 305.5685 390.1657 0.012860832 +139849.23 280.1458 358.1665 0.00851381231 +144053.31 259.1205 331.6301 0.0160514485 +150275.32 237.639 304.4293 0.0105300047 +154676.23 216.9399 278.2092 0.0101161257 +158993.23 198.609 254.9295 0.0067308989 +163518.23 181.1432 232.6897 0.00640320232 +167947.22 165.8109 213.145 0.00802371485 +172533.22 151.3528 194.7893 0.010140069 +177208.24 138.2497 178.0104 0.00722523356 +181880.32 126.2399 162.6063 0.0137877119 +186643.24 114.664 147.6647 0.00387052968 +191349.24 104.3446 134.3952 0.00229695451 +196053.24 95.1352 122.5438 0.00272323337 +200758.24 86.171 110.9756 0.00217807254 +205372.31 78.356 100.8908 0.00191206694 +209896.24 71.3114 91.762 0.00381837662 +214236.24 65.0357 83.6444 0.00271735165 +218305.32 60.4112 77.643 0.00149666295 diff --git a/calib_data/_calib_data/calib2018-11-20_p0_c6.dat b/calib_data/_calib_data/calib2018-11-20_p0_c6.dat new file mode 100644 index 0000000..56d248e --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p0_c6.dat @@ -0,0 +1,60 @@ +49791.29 30555.31 28528.71 1.39387589 +51923.23 26920.19 25142.26 0.758709431 +56183.22 21537.49 20141.27 1.35078126 +58152.28 17537.71 16429.41 1.88936233 +60131.31 14531.63 13648.84 0.655621842 +62100.31 11987.26 11292.98 0.656323091 +64073.22 10094.5 9535.38 0.57162925 +66041.33 8569.87 8122.8 0.58 +68009.22 7348.48 6989.83 0.37577919 +69977.22 6335.29 6047.73 0.377902104 +71929.21 5493.48 5264.92 0.273788239 +73905.31 4812.153 4630.425 0.151038075 +75857.22 4229.877 4087.2 0.0846404159 +77813.22 3742.303 3631.131 0.0880391958 +79764.22 3331.374 3246.103 0.0916193211 +81715.48 2978.203 2914.579 0.0906802073 +83667.22 2672.412 2626.994 0.0875808198 +85636.22 2405.638 2375.166 0.0836564403 +87618.22 2178.235 2160.553 0.0644057451 +89586.22 1976.036 1968.969 0.105151795 +91555.31 1800.033 1801.743 0.14084069 +93524.22 1642.418 1651.77 0.0911921049 +95502.29 1497.444 1513.58 0.0395221457 +97471.31 1373.437 1394.912 0.0416365224 +99459.23 1261.339 1287.343 0.0246190983 +101443.22 1160.57 1190.315 0.0296732202 +103426.22 1069.64 1102.625 0.0331737848 +105430.31 982.48 1018.256 0.0398547362 +107433.22 905.204 943.248 0.0184824241 +109432.29 836.27 876.023 0.0230672929 +111446.22 768.259 809.525 0.0133603892 +113459.23 708.24 750.504 0.0247870934 +115500.32 653.016 695.957 0.0366619694 +117586.23 602.28 645.678 0.0217623528 +119690.31 554.151 597.664 0.0305679571 +121866.23 509.128 552.682 0.0136235091 +124103.22 468.5647 512.007 0.0354132743 +126387.22 430.3808 473.1584 0.0158386868 +128758.22 395.5754 437.7163 0.00976222311 +131298.22 363.2233 404.569 0.00888819442 +134105.31 333.5245 373.9863 0.00573942506 +137196.23 305.5834 345.0414 0.0113676735 +139926.22 280.1178 318.5188 0.0080384078 +144203.28 258.9462 296.3245 0.0136522892 +150352.29 237.5213 273.759 0.00691953756 +154753.23 216.8544 251.7661 0.00622326281 +159070.31 198.5181 232.2066 0.00872490688 +163595.31 181.0549 213.4246 0.00625971245 +168024.23 165.7337 196.8302 0.00843777222 +172610.31 151.2823 181.177 0.0117123866 +177285.33 138.1838 166.7747 0.00904439053 +181957.24 126.1923 153.4219 0.00261705942 +186720.33 114.6157 140.5098 0.00302919131 +191426.24 104.3064 128.9099 0.00308366665 +196130.33 95.0958 118.4817 0.00327734649 +200835.33 86.1362 108.2436 0.00307961036 +205449.24 78.3329 99.2581 0.00192587642 +209973.24 71.286 91.0749 0.00168196314 +214313.24 65.0147 83.7345 0.0029231832 +218382.38 60.3911 78.2863 0.00247810411 diff --git a/calib_data/_calib_data/calib2018-11-20_p1_c1.dat b/calib_data/_calib_data/calib2018-11-20_p1_c1.dat new file mode 100644 index 0000000..223c739 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p1_c1.dat @@ -0,0 +1,60 @@ +49893.22 30541.36 4942.507 0.121045859 +52025.32 26921.61 4556.929 0.184002446 +56285.31 21537.15 3948.096 0.266290067 +58254.22 17533.16 3458.931 0.317671056 +60233.22 14532.48 3063.638 0.13986279 +62202.28 11989.18 2703.402 0.119145289 +64175.31 10093.99 2416.642 0.118775418 +66143.22 8569.56 2170.62 0.0890393172 +68111.29 7348.87 1961.545 0.0751032622 +70079.22 6334.79 1778.043 0.0597000838 +72031.29 5493.19 1617.3 0.0639061812 +74007.22 4812.464 1480.156 0.0396787097 +75959.23 4230.204 1357.471 0.021883784 +77915.31 3742.66 1249.656 0.0307310917 +79866.21 3331.353 1154.877 0.020151923 +81817.22 2978.294 1070.002 0.0318998433 +83769.23 2672.626 993.55 0.0140712473 +85738.22 2405.522 924.2 0.0342636834 +87720.32 2178.348 863.024 0.0377412241 +89688.23 1976.302 806.66 0.0429418211 +91657.23 1799.992 756.025 0.0296732202 +93626.23 1642.504 709.155 0.0337712896 +95604.22 1497.526 664.934 0.0375552926 +97573.23 1373.46 625.809 0.0283001767 +99561.32 1261.224 589.318 0.0415403418 +101545.31 1160.424 555.547 0.017149344 +103528.23 1069.627 524.345 0.0173349358 +105532.29 982.52 493.3075 0.0137609956 +107535.31 905.236 465.1982 0.0152314149 +109534.23 836.194 439.4217 0.0213976868 +111548.23 768.297 413.3118 0.0115237147 +113561.33 708.259 389.5653 0.00835948563 +115602.30 652.977 367.0829 0.0130118792 +117688.23 602.292 345.8801 0.0110602441 +119792.32 554.095 325.1543 0.0200738885 +121968.23 509.134 305.271 0.0117481914 +124205.31 468.5872 286.886 0.0081877958 +126489.22 430.4047 269.0443 0.00703427324 +128860.31 395.56 252.3052 0.0100556452 +131400.31 363.1864 236.3301 0.00643653634 +134207.22 333.4732 221.2822 0.00821559493 +137298.22 305.565 206.7696 0.00678999264 +140028.23 280.0514 193.1809 0.00842193564 +144449.00 258.62 181.5033 0.0124016531 +150454.22 237.3903 169.6388 0.00648043208 +154855.31 216.755 157.7609 0.00485067006 +159172.30 198.409 147.0167 0.00485808604 +163697.22 180.9623 136.5496 0.00311833289 +168126.23 165.6324 127.127 0.00318747549 +172712.29 151.2153 118.0985 0.00330227195 +177387.24 138.1188 109.6757 0.0032095171 +182059.24 126.129 101.7869 0.00329984848 +186822.28 114.5541 94.0015 0.00275045451 +191528.24 104.2405 86.9192 0.00342870238 +196232.27 95.0465 80.4656 0.00268402683 +200937.24 86.0845 74.0528 0.0030423675 +205551.38 78.2888 68.3598 0.00282063823 +210075.33 71.2481 63.1119 0.00246758992 +214415.33 64.9831 58.366 0.00294957624 +218484.24 60.3621 54.7998 0.00232292919 diff --git a/calib_data/_calib_data/calib2018-11-20_p1_c2.dat b/calib_data/_calib_data/calib2018-11-20_p1_c2.dat new file mode 100644 index 0000000..a835ee3 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p1_c2.dat @@ -0,0 +1,60 @@ +49970.31 30534.66 1074.358 0.0304565264 +52102.28 26917.15 1021.166 0.0302390476 +56362.29 21539.33 932.549 0.0340426203 +58331.29 17537.71 856.793 0.0545902922 +60310.31 14532 792.066 0.026122787 +62279.22 11987.72 729.785 0.0235053185 +64252.31 10093.39 677.517 0.0280731188 +66220.31 8569.16 630.586 0.0318182338 +68188.22 7348.78 588.894 0.0196061215 +70156.22 6334.06 550.792 0.0313304963 +72108.22 5492.67 515.93 0.0371483512 +74084.22 4812.492 485.1838 0.00606761897 +76036.22 4230.206 456.6435 0.00614695046 +77992.28 3742.743 430.763 0.0160524141 +79943.22 3331.362 407.2645 0.0123897135 +81894.22 2978.192 385.6019 0.0166291611 +83846.22 2672.836 365.5536 0.00829963855 +85815.31 2405.74 346.8421 0.0109694576 +87797.22 2178.313 329.9013 0.0105157501 +89765.31 1976.276 313.943 0.0175294039 +91734.22 1800.135 299.2414 0.00888954442 +93703.22 1642.528 285.3436 0.0120517219 +95681.31 1497.469 271.9826 0.00888616903 +97650.31 1373.368 259.852 0.0044384682 +99638.22 1261.215 248.3251 0.00507237617 +101622.30 1160.443 237.5115 0.00563249501 +103605.31 1069.526 227.2986 0.00636270383 +105609.23 982.494 217.0358 0.00664951126 +107612.29 905.185 207.5171 0.0104627434 +109611.31 836.191 198.6113 0.00494782781 +111625.31 768.294 189.4353 0.00521162163 +113638.22 708.251 180.9521 0.00849170183 +115679.22 652.989 172.7566 0.00709816878 +117765.32 602.318 164.9247 0.00634042585 +119869.22 554.161 157.0726 0.00802770204 +122045.31 509.225 149.4561 0.00859936044 +124282.29 468.58 142.3066 0.00225477272 +126566.22 430.3862 135.2391 0.00204670467 +128937.22 395.5575 128.502 0.00349857114 +131477.24 363.1777 121.9692 0.00242816803 +134284.23 333.4488 115.7123 0.00297674319 +137375.32 305.5475 109.593 0.00324653662 +140105.34 280.0203 103.7759 0.00236833275 +144819.90 258.2963 98.6459 0.0244419516 +150531.29 237.309 93.4465 0.00172771525 +154932.29 216.6912 88.1477 0.00258476305 +159249.22 198.3496 83.2604 0.00262754638 +163774.23 180.8992 78.4156 0.00392224426 +168203.22 165.5708 73.9904 0.00243803199 +172789.23 151.1464 69.6778 0.00403435249 +177464.24 138.0604 65.603 0.00340881211 +182136.23 126.0728 61.7194 0.00163829179 +186899.24 114.505 57.8282 0.003319036 +191605.33 104.197 54.2286 0.00276115918 +196309.24 95.0068 50.9021 0.00182455474 +201014.24 86.0569 47.52408 0.00134564483 +205628.24 78.2623 44.4979 0.00114411538 +210152.27 71.2256 41.67762 0.00121785057 +214492.27 64.9651 39.08603 0.000747000669 +218561.36 60.3517 37.12521 0.00127909734 diff --git a/calib_data/_calib_data/calib2018-11-20_p1_c4.dat b/calib_data/_calib_data/calib2018-11-20_p1_c4.dat new file mode 100644 index 0000000..2f5a24a --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p1_c4.dat @@ -0,0 +1,60 @@ +50047.22 30530.71 5418.529 0.163134607 +52179.21 26919.73 4987.173 0.292133702 +56439.22 21538.46 4304.047 0.237200548 +58408.22 17538.99 3757.674 0.241918168 +60387.23 14531.45 3318.561 0.139867437 +62356.22 11987.73 2919.705 0.186875627 +64329.22 10092.94 2602.695 0.0575890615 +66297.22 8570.27 2331.817 0.118372716 +68265.31 7348.93 2102.531 0.0887293638 +70233.21 6334.73 1901.613 0.113649021 +72185.31 5492.89 1726.071 0.0801305185 +74161.32 4812.554 1576.896 0.0690101442 +76113.22 4230.276 1443.484 0.0286775173 +78069.22 3742.552 1326.742 0.0391356615 +80020.32 3331.456 1224.19 0.0489693782 +81971.29 2978.176 1132.542 0.0267507009 +83923.22 2672.556 1050.144 0.0418855584 +85892.28 2405.785 975.63 0.0186010752 +87874.22 2178.361 909.902 0.0304565264 +89842.28 1976.373 849.508 0.0343744091 +91811.30 1800.232 795.16 0.033286634 +93780.31 1642.516 745.101 0.0455949559 +95758.22 1497.466 697.953 0.0173233946 +97727.22 1373.39 656.148 0.0224855509 +99715.31 1261.2 617.275 0.0267301328 +101699.22 1160.416 581.412 0.0233152311 +103682.32 1069.484 548.196 0.0148458748 +105686.22 982.399 515.498 0.0246495436 +107689.23 905.163 485.5359 0.0160489564 +109688.23 836.267 458.2808 0.0123473074 +111702.29 768.269 430.6361 0.0134569313 +113715.31 708.271 405.5507 0.0192556745 +115756.22 652.983 381.8327 0.0185013783 +117842.30 602.288 359.5003 0.0122849908 +119946.23 554.221 337.6978 0.0106665833 +122122.31 509.266 316.7555 0.0148035469 +124359.23 468.5755 297.4646 0.00884104066 +126643.22 430.3872 278.7249 0.00461400043 +129014.22 395.5552 261.1693 0.00612053919 +131554.23 363.1686 244.4285 0.00684434073 +134361.30 333.408 228.6649 0.0115779532 +137452.33 305.5086 213.5167 0.00577416661 +140182.30 280.0198 199.3222 0.00437675679 +145409.96 257.8697 186.8193 0.0740220305 +150608.23 237.2144 174.6791 0.00703342022 +155009.22 216.58 162.3811 0.00883453451 +159326.23 198.2747 151.1556 0.00513848227 +163851.30 180.8327 140.2701 0.00550899265 +168280.31 165.5228 130.4915 0.00458530261 +172946.58 151.0646 121.1078 0.00320249902 +177541.38 138.0129 112.4103 0.00250219903 +182213.24 126.0253 104.2452 0.00341701624 +186976.24 114.4605 96.197 0.00190262976 +191682.29 104.1599 88.8758 0.00223964283 +196386.24 94.9775 82.2223 0.00253001976 +201091.37 86.0264 75.6107 0.00186574382 +205705.33 78.2383 69.7471 0.00352547869 +210229.24 71.2038 64.3514 0.00201096992 +214569.24 64.9479 59.4624 0.00156971335 +218638.23 60.3383 55.8005 0.00126688595 diff --git a/calib_data/_calib_data/calib2018-11-20_p1_c5.dat b/calib_data/_calib_data/calib2018-11-20_p1_c5.dat new file mode 100644 index 0000000..ee5e6e0 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p1_c5.dat @@ -0,0 +1,60 @@ +50124.22 30524.42 44123.17 1.55884893 +52256.22 26924.39 38513.13 1.71895608 +56516.22 21538.32 30249.13 1.28965499 +58485.31 17537.22 24236.84 4.67976923 +60464.22 14530.02 19819.61 0.868383556 +62433.22 11988.15 16132.29 1.25518525 +64406.22 10093.54 13426.96 0.480041665 +66374.23 8570.84 11284.18 0.523984733 +68342.29 7349.1 9591.47 0.3696079 +70310.31 6335.23 8201.75 0.456782224 +72262.29 5493.49 7062.29 0.253160028 +74238.22 4812.284 6152.46 0.307961036 +76190.32 4230.032 5379.12 0.358273638 +78146.22 3742.583 4734.97 0.0929516003 +80097.22 3331.55 4198.611 0.145309669 +82048.22 2978.32 3740.954 0.143827675 +84000.31 2672.43 3347.947 0.0944780398 +85969.22 2405.577 3006.66 0.112774111 +87951.30 2178.347 2717.832 0.116385566 +89919.23 1976.373 2462.428 0.0515713099 +91888.23 1800.16 2240.995 0.0583994863 +93857.22 1642.546 2043.704 0.135839611 +95835.32 1497.426 1863.961 0.113344166 +97804.22 1373.359 1709.782 0.0732639065 +99792.30 1261.286 1569.995 0.0551225907 +101776.22 1160.452 1445.482 0.048863074 +103759.23 1069.542 1333.497 0.0312745903 +105763.22 982.46 1226.236 0.0488712594 +107766.22 905.235 1131.257 0.0361123248 +109765.31 836.328 1046.578 0.0343161769 +111779.22 768.301 963.073 0.0160031247 +113792.31 708.297 889.254 0.0277200289 +115833.22 652.984 821.284 0.0247870934 +117919.22 602.316 758.835 0.0263153947 +120023.22 554.14 699.409 0.0253160028 +122199.22 509.194 643.866 0.0294006803 +124436.22 468.5556 593.876 0.0471211205 +126720.31 430.3568 546.414 0.0325944781 +129091.32 395.5242 502.991 0.0196697738 +131631.30 363.1511 462.3243 0.00954363662 +134438.22 333.3923 425.0663 0.0168416448 +137529.23 305.4856 390.033 0.0092757749 +140259.22 280.0076 357.9508 0.00994665773 +146051.68 257.4919 329.7545 0.193756716 +150685.31 237.1273 303.8047 0.00836666003 +155086.22 216.5086 277.6925 0.00995514942 +159403.23 198.2084 254.4153 0.00557682705 +163928.22 180.7836 232.231 0.00667682559 +168357.23 165.4779 212.6883 0.00749406432 +173035.33 150.987 194.3128 0.0129829118 +177618.24 137.9651 177.6428 0.0112096387 +182290.33 125.9828 162.2747 0.00597503138 +187053.24 114.427 147.3683 0.00360846228 +191759.24 104.1312 134.128 0.00271661554 +196463.24 94.9529 122.2961 0.0021883784 +201168.24 85.9929 110.7544 0.00151129084 +205782.27 78.2144 100.6991 0.00275118156 +210306.24 71.187 91.6052 0.00384915575 +214646.24 64.9298 83.5003 0.00298345437 +218715.33 60.3208 77.5151 0.00239770724 diff --git a/calib_data/_calib_data/calib2018-11-20_p1_c6.dat b/calib_data/_calib_data/calib2018-11-20_p1_c6.dat new file mode 100644 index 0000000..fefecfe --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p1_c6.dat @@ -0,0 +1,60 @@ +50201.30 30514.93 28485.7 0.437492857 +52333.22 26919.91 25142.31 0.857607136 +56593.22 21539.06 20140.52 0.667952094 +58562.28 17540.9 16432.77 3.05614299 +60541.29 14530.62 13648.27 0.691382673 +62510.31 11988.59 11291.9 0.507346036 +64483.23 10093.47 9535.29 0.465069887 +66451.32 8569.81 8123.32 0.513770377 +68419.22 7349.4 6989.01 0.197711912 +70387.22 6335.13 6047.74 0.247062745 +72339.23 5493.29 5264.49 0.183002732 +74315.32 4812.261 4630.382 0.100057983 +76267.23 4229.992 4087.143 0.109142567 +78223.22 3742.509 3631.088 0.134452966 +80174.22 3331.42 3245.992 0.133467599 +82125.31 2978.211 2914.465 0.0683995614 +84077.22 2672.483 2626.953 0.0686593038 +86046.22 2405.555 2375.396 0.100241708 +88028.23 2178.136 2160.508 0.093175104 +89996.23 1976.162 1969.132 0.063258201 +91965.31 1800.042 1801.787 0.0396749291 +93934.22 1642.413 1651.737 0.0839291368 +95912.30 1497.483 1513.633 0.0376576685 +97881.32 1373.4 1394.946 0.0219636063 +99869.23 1261.386 1287.343 0.0348726254 +101853.22 1160.5 1190.317 0.0303660995 +103836.22 1069.614 1102.645 0.0306349474 +105840.32 982.508 1018.297 0.022805701 +107843.23 905.208 943.243 0.0144256716 +109842.31 836.251 876.064 0.014366628 +111856.23 768.272 809.502 0.0156076904 +113869.22 708.222 750.508 0.01787736 +115910.30 652.94 695.967 0.0154304893 +117996.23 602.281 645.691 0.0242672619 +120100.31 554.096 597.664 0.0471423377 +122276.22 509.109 552.618 0.0307506098 +124513.22 468.5339 511.981 0.0295448811 +126797.22 430.3618 473.1402 0.0172190592 +129168.23 395.5353 437.689 0.0137120385 +131708.23 363.1682 404.4983 0.00694413422 +134515.30 333.3869 373.8277 0.00583446656 +137606.23 305.4643 344.9107 0.011915578 +140336.23 279.9868 318.3584 0.00438679838 +146165.31 257.3493 294.7991 0.156559027 +150762.28 237.0397 273.2452 0.0079395214 +155163.23 216.4684 251.3831 0.007758157 +159480.31 198.1227 231.8059 0.00527721517 +164005.31 180.7258 213.0529 0.00953462113 +168434.23 165.4011 196.466 0.00813633824 +173112.27 150.9312 180.7862 0.011868277 +177695.33 137.9164 166.4779 0.00951782538 +182367.24 125.9461 153.1515 0.00318512166 +187130.33 114.3984 140.2593 0.00163737595 +191836.24 104.1006 128.682 0.00333766385 +196540.33 94.923 118.2745 0.00486466854 +201245.32 85.9729 108.0581 0.00181906569 +205859.24 78.1931 99.0944 0.00226362541 +210383.24 71.1682 90.9348 0.00239081576 +214723.24 64.912 83.6097 0.00182236111 +218792.33 60.3077 78.1775 0.00202607996 diff --git a/calib_data/_calib_data/calib2018-11-20_p2_c1.dat b/calib_data/_calib_data/calib2018-11-20_p2_c1.dat new file mode 100644 index 0000000..f2f44c1 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p2_c1.dat @@ -0,0 +1,60 @@ +50303.22 30505.8 4938.085 0.097501282 +54112.30 26882.96 4552.25 0.278922928 +56695.32 21537.67 3948.187 0.151188955 +58664.22 17537.67 3458.279 0.200935064 +60643.22 14532.59 3063.455 0.15909274 +62612.29 11988.88 2703.728 0.0729492975 +64585.31 10093.97 2416.7 0.0813019065 +66553.22 8570.08 2170.356 0.0708547811 +68521.32 7348.7 1961.905 0.0843237808 +70489.22 6334.21 1778.171 0.0593203169 +72441.31 5493.37 1617.182 0.0838188523 +74417.22 4812.663 1480.215 0.0244233495 +76369.22 4230.34 1357.409 0.0269981481 +78325.31 3742.557 1249.686 0.020746084 +80276.22 3331.267 1154.864 0.0313432608 +82227.23 2978.118 1069.975 0.022192341 +84179.22 2672.386 993.571 0.0266251761 +86148.22 2405.523 924.249 0.0233002146 +88130.31 2178.078 863.05 0.0193907194 +90098.23 1976.24 806.693 0.0209785605 +92067.22 1800.027 755.981 0.0447984375 +94036.22 1642.66 709.159 0.0348554156 +96014.22 1497.574 665.009 0.0328161546 +97983.22 1373.444 625.8 0.029189039 +99971.32 1261.26 589.312 0.0365732142 +101955.32 1160.478 555.585 0.0136565003 +103938.23 1069.599 524.3 0.0211660105 +105942.29 982.502 493.2841 0.0182753659 +107945.31 905.183 465.2057 0.0194792454 +109944.23 836.242 439.4364 0.0172622131 +111958.22 768.279 413.2968 0.0181806491 +113971.32 708.238 389.5522 0.0215489211 +116012.32 653.01 367.0679 0.0149247781 +118098.22 602.309 345.8777 0.0170716432 +120202.29 554.114 325.1559 0.0109712807 +122378.22 509.157 305.2567 0.0106414755 +124615.31 468.5697 286.8969 0.0068606851 +126899.23 430.3803 269.0324 0.0091271025 +129270.30 395.555 252.3048 0.00951819311 +131810.30 363.1283 236.3028 0.00579275409 +134617.22 333.3345 221.2102 0.00923774864 +137708.23 305.4266 206.7076 0.0044434221 +140438.22 279.9449 193.1321 0.0034509419 +146264.23 257.279 180.8375 0.0665561793 +150864.22 236.9404 169.3804 0.00675899401 +155265.31 216.4037 157.5517 0.00528213972 +159582.29 198.0601 146.8107 0.00679418869 +164107.22 180.6486 136.3532 0.00360776939 +168536.22 165.3226 126.9264 0.00458082962 +173214.24 150.8835 117.8874 0.00192457788 +177797.24 137.8609 109.5053 0.00282152441 +182469.24 125.9001 101.6301 0.00179136819 +187232.38 114.3426 93.8533 0.00295313393 +191938.24 104.0531 86.7867 0.00226296266 +196642.30 94.8846 80.347 0.00251793566 +201347.24 85.9399 73.9441 0.00227793766 +205961.37 78.1566 68.2572 0.00217623528 +210485.33 71.1415 63.0304 0.00200599103 +214825.33 64.8875 58.2843 0.00203985294 +218894.22 60.2814 54.7413 0.00217738375 diff --git a/calib_data/_calib_data/calib2018-11-20_p2_c2.dat b/calib_data/_calib_data/calib2018-11-20_p2_c2.dat new file mode 100644 index 0000000..b22fe28 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p2_c2.dat @@ -0,0 +1,60 @@ +50380.31 30500.06 1073.849 0.0216078689 +54189.23 26890.87 1020.567 0.0190814046 +56772.29 21539.16 932.555 0.0574499782 +58741.32 17540.58 856.725 0.0506606356 +60720.31 14532.87 792.111 0.0327856676 +62689.22 11988.49 729.799 0.029847948 +64662.29 10092.54 677.473 0.0212626433 +66630.31 8569.9 630.607 0.026078727 +68598.22 7347.94 588.915 0.0205548048 +70566.21 6335 550.743 0.0180027776 +72518.23 5493.15 515.983 0.0163737595 +74494.22 4812.562 485.196 0.0131833228 +76446.35 4230.283 456.6468 0.0129806009 +78402.28 3742.519 430.7564 0.0147615717 +80353.24 3331.374 407.2649 0.0136429102 +82304.23 2978.223 385.5905 0.00822465805 +84256.21 2672.574 365.5425 0.012562046 +86225.31 2405.563 346.8338 0.0158359086 +88207.22 2178.273 329.9257 0.00869603358 +90175.32 1976.217 313.9489 0.00714345855 +92144.23 1800.116 299.2484 0.00784499841 +94113.22 1642.714 285.3436 0.0114849467 +96091.31 1497.485 271.9666 0.00685010949 +98060.31 1373.353 259.8592 0.00814960122 +100048.23 1261.163 248.3356 0.00802770204 +102032.30 1160.405 237.5162 0.00671535554 +104015.31 1069.527 227.2901 0.00681681744 +106019.22 982.454 217.041 0.00777688884 +108022.29 905.211 207.499 0.00801249025 +110021.31 836.218 198.6159 0.00485890934 +112035.31 768.284 189.4203 0.00773440366 +114048.24 708.216 180.9371 0.00551624873 +116089.23 652.963 172.7811 0.00928272589 +118175.32 602.241 164.9257 0.0080050609 +120279.23 554.19 157.0776 0.00537438369 +122455.31 509.255 149.4578 0.00606267268 +124692.28 468.5633 142.3069 0.00227793766 +126976.23 430.3738 135.2388 0.00213447886 +129347.22 395.5406 128.503 0.00381051178 +131887.22 363.1293 121.9567 0.00293274615 +134694.23 333.3206 115.6857 0.00354132743 +137785.31 305.4326 109.5762 0.00280642121 +140515.31 279.9235 103.7497 0.00322195593 +146338.22 257.2557 98.3912 0.0208152828 +150941.30 236.8671 93.3356 0.00251475645 +155342.29 216.3403 88.0589 0.00413871961 +159659.23 198.008 83.1693 0.00151690474 +164184.22 180.6064 78.3303 0.00254970587 +168613.23 165.2803 73.9035 0.00215058132 +173291.37 150.8286 69.5907 0.00200024998 +177874.24 137.8084 65.521 0.00173205081 +182546.22 125.8527 61.6436 0.00335618831 +187309.24 114.3 57.7532 0.00245275355 +192015.33 104.0182 54.1657 0.00236664319 +196719.24 94.8481 50.8404 0.00235031913 +201424.24 85.92 47.46699 0.00169984999 +206038.24 78.1394 44.45058 0.0015395324 +210562.27 71.1277 41.63564 0.00102705404 +214902.27 64.8751 39.0495 0.000983564944 +218971.34 60.2766 37.09168 0.000909153452 diff --git a/calib_data/_calib_data/calib2018-11-20_p2_c4.dat b/calib_data/_calib_data/calib2018-11-20_p2_c4.dat new file mode 100644 index 0000000..fbd6203 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p2_c4.dat @@ -0,0 +1,60 @@ +50457.22 30490.15 5413.387 0.152722297 +54266.22 26893.76 4982.456 0.121837597 +56849.22 21541.21 4304.233 0.300885526 +58818.22 17540.96 3757.443 0.58509495 +60797.21 14532.22 3318.416 0.0821729883 +62766.23 11988.98 2919.572 0.128847196 +64739.22 10093.31 2602.816 0.121533534 +66707.22 8569.93 2331.671 0.101197332 +68675.32 7348.58 2102.509 0.0849287937 +70643.22 6335.57 1901.665 0.105368401 +72595.32 5492.67 1726.149 0.0680213202 +74571.30 4812.663 1576.859 0.0509597881 +76523.22 4230.372 1443.48 0.0396988665 +78479.22 3742.546 1326.743 0.0462179619 +80430.31 3331.483 1224.244 0.0298730648 +82381.30 2978.333 1132.545 0.0249499499 +84333.22 2672.559 1050.153 0.037816663 +86302.29 2405.52 975.602 0.0331300468 +88284.22 2178.422 909.855 0.0305040981 +90252.28 1976.223 849.517 0.0152348285 +92221.30 1800.202 795.244 0.0218265893 +94190.30 1642.698 745.121 0.0328770437 +96168.24 1497.46 697.918 0.0248112878 +98137.22 1373.346 656.088 0.0277055951 +100125.31 1261.164 617.283 0.0224966664 +102109.22 1160.455 581.433 0.0246190983 +104092.31 1069.458 548.132 0.0202879274 +106096.23 982.36 515.535 0.034270979 +108099.22 905.248 485.5628 0.014458769 +110098.22 836.258 458.2647 0.0156467569 +112112.30 768.263 430.6331 0.0209186281 +114125.31 708.243 405.5431 0.0204393982 +116166.23 652.963 381.8324 0.00722938448 +118252.29 602.28 359.4747 0.0141492403 +120356.22 554.181 337.6843 0.0148687928 +122532.29 509.271 316.768 0.00919673855 +124769.22 468.5668 297.4621 0.00338954274 +127053.23 430.3856 278.7165 0.00902358022 +129424.23 395.5484 261.1591 0.0037079644 +131964.22 363.1349 244.4161 0.00918199325 +134771.30 333.3034 228.6119 0.00647989197 +137862.29 305.4462 213.4842 0.00596623835 +140592.30 279.9111 199.3045 0.00651958588 +146420.31 257.2278 186.3719 0.0182249554 +151018.22 236.7959 174.4529 0.00583172359 +155419.22 216.2655 162.1957 0.00590770683 +159736.22 197.9482 150.9557 0.00696139354 +164261.29 180.5503 140.0934 0.00605673179 +168690.32 165.2286 130.3096 0.00399549747 +173368.24 150.7855 120.9347 0.00322815737 +177951.37 137.7662 112.244 0.00219089023 +182623.24 125.8151 104.0951 0.00324484206 +187386.23 114.269 96.0581 0.00141739197 +192092.29 103.9867 88.7504 0.00200099975 +196796.24 94.8185 82.1074 0.00358942892 +201501.37 85.8944 75.5086 0.00240083319 +206115.33 78.1211 69.6551 0.00213752193 +210639.24 71.1091 64.2788 0.0028975852 +214979.24 64.8662 59.3931 0.00233430932 +219049.22 60.2642 55.7382 0.0016297239 diff --git a/calib_data/_calib_data/calib2018-11-20_p2_c5.dat b/calib_data/_calib_data/calib2018-11-20_p2_c5.dat new file mode 100644 index 0000000..c495f1d --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p2_c5.dat @@ -0,0 +1,60 @@ +50534.22 30482.5 44061.57 1.79638804 +54343.22 26892.7 38456.26 1.87217521 +56926.22 21540.26 30245.89 1.8142464 +58895.31 17541.87 24232.78 2.56950579 +60874.22 14532.76 19819.33 0.662729206 +62843.23 11987.66 16133.13 1.03875406 +64816.22 10094.96 13425.61 0.51311792 +66784.40 8569.76 11283.44 0.496829951 +68752.28 7349.03 9591.92 0.449177025 +70720.31 6335.32 8202.62 0.358273638 +72672.31 5492.85 7062.17 0.219567757 +74648.22 4812.244 6152.23 0.319076793 +76600.31 4230.08 5378.68 0.336392628 +78556.21 3742.643 4735.093 0.122409558 +80507.23 3331.505 4198.544 0.147093168 +82458.22 2978.324 3741.029 0.132253166 +84410.31 2672.34 3347.714 0.13676403 +86379.23 2405.545 3006.764 0.0936717674 +88361.31 2178.269 2717.821 0.0923736976 +90329.22 1976.219 2462.274 0.0950810181 +92298.21 1800.13 2240.96 0.0519615242 +94267.22 1642.595 2043.672 0.0694809326 +96245.31 1497.425 1863.88 0.0795738651 +98214.22 1373.373 1709.558 0.0938275013 +100202.32 1261.274 1570.017 0.0572721573 +102186.22 1160.504 1445.481 0.0516032945 +104169.22 1069.542 1333.465 0.0594852923 +106173.22 982.411 1226.215 0.0468881648 +108176.23 905.256 1131.289 0.0351126758 +110175.31 836.27 1046.579 0.0560080351 +112189.23 768.281 963.077 0.0374979999 +114202.32 708.284 889.258 0.0234435492 +116243.22 652.963 821.278 0.0223517337 +118329.22 602.314 758.863 0.0358901101 +120433.23 554.126 699.391 0.0345962426 +122609.22 509.193 643.856 0.0286775173 +124846.23 468.5491 593.793 0.0342067245 +127130.43 430.3565 546.36 0.0235372046 +129501.31 395.5227 503.036 0.0264272587 +132041.31 363.129 462.2815 0.0149132491 +134848.22 333.2826 424.9347 0.0119516108 +137939.22 305.4657 390.0101 0.0147664823 +140669.22 279.9003 357.8712 0.0089418119 +146516.42 257.1924 329.2004 0.00947755243 +151095.31 236.7246 303.3116 0.0134619464 +155496.22 216.219 277.3022 0.00621256791 +159813.23 197.8996 254.0142 0.00320562006 +164338.23 180.4912 231.8694 0.00793498582 +168767.22 165.1812 212.3369 0.00931391432 +173445.33 150.7493 194.0063 0.0121425286 +178028.24 137.7276 177.3377 0.0088578214 +182700.33 125.7798 162.0266 0.0155674018 +187463.24 114.2422 147.129 0.00395979797 +192169.24 103.9602 133.9101 0.00378536656 +196873.24 94.8012 122.1095 0.00434798804 +201578.24 85.8672 110.5873 0.00318763235 +206192.27 78.1041 100.5571 0.00348267139 +210716.24 71.0899 91.4868 0.00279928562 +215056.24 64.8524 83.3951 0.00441463475 +219126.22 60.2448 77.4282 0.001787736 diff --git a/calib_data/_calib_data/calib2018-11-20_p2_c6.dat b/calib_data/_calib_data/calib2018-11-20_p2_c6.dat new file mode 100644 index 0000000..831392c --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-20_p2_c6.dat @@ -0,0 +1,60 @@ +50611.32 30476.15 28451.06 0.767749959 +54420.32 26889.06 25111.43 0.511282701 +57003.22 21536.01 20138.97 0.879096127 +58972.27 17542.61 16430.74 2.19290675 +60951.31 14534.13 13648.03 0.604326071 +62920.32 11988.41 11292.24 0.538924856 +64893.22 10095.33 9536.44 0.25385035 +66861.30 8570.33 8121.82 0.476822818 +68829.22 7348.97 6989.68 0.439499716 +70797.22 6335.39 6048 0.272763634 +72749.22 5493.17 5264.8 0.178885438 +74725.31 4812.08 4630.4 0.123442294 +76677.22 4229.966 4087.087 0.144886507 +78633.22 3742.613 3631.099 0.124655124 +80584.23 3331.292 3246.116 0.0820633901 +82535.32 2978.238 2914.324 0.060814472 +84487.22 2672.3 2626.906 0.0868700178 +86470.31 2405.67 2375.369 0.0721588525 +88438.22 2178.124 2160.528 0.0562103193 +90406.22 1976.088 1969.005 0.0897134327 +92375.31 1800.005 1801.822 0.0843421603 +94344.23 1642.454 1651.964 0.0253456111 +96322.32 1497.485 1513.554 0.0412116488 +98291.32 1373.427 1394.929 0.0491619772 +100279.22 1261.328 1287.365 0.0335931541 +102263.22 1160.533 1190.31 0.0264196896 +104246.22 1069.674 1102.677 0.0325898757 +106250.30 982.488 1018.326 0.0149130815 +108253.22 905.19 943.266 0.0178437664 +110252.30 836.195 876.008 0.0438588646 +112266.22 768.259 809.481 0.0127632284 +114279.23 708.246 750.468 0.0170176379 +116320.32 652.898 695.934 0.0142267354 +118406.22 602.252 645.683 0.0183330303 +120510.31 554.075 597.644 0.0257371327 +122686.22 509.135 552.617 0.0414258373 +124923.22 468.533 512.006 0.0285026315 +127207.23 430.3811 473.1235 0.0106124926 +129578.22 395.5392 437.6739 0.0121527363 +132118.23 363.1218 404.4632 0.0110578479 +134925.30 333.2716 373.7247 0.0159568481 +138016.23 305.4913 344.9387 0.0129321692 +140746.21 279.9166 318.2761 0.0141819956 +146736.98 257.1543 294.423 0.0131209756 +151172.29 236.6716 272.8507 0.00553181706 +155573.22 216.1656 251.0581 0.00724492926 +159890.30 197.8374 231.4898 0.00601464878 +164415.31 180.4511 212.7716 0.00792111103 +168844.22 165.1249 196.1861 0.00834919158 +173522.30 150.6993 180.5492 0.0196014285 +178105.33 137.69 166.2193 0.00602834969 +182777.25 125.7507 152.9352 0.00130230565 +187540.33 114.2171 140.0582 0.00273056771 +192246.24 103.9401 128.5023 0.00177792013 +196950.31 94.7819 118.1185 0.0028609439 +201655.33 85.8445 107.9129 0.00336585799 +206269.24 78.0869 98.9682 0.00338171554 +210793.24 71.0785 90.8311 0.00243084348 +215133.23 64.8402 83.5233 0.00396497163 +219205.37 60.2408 78.104 0.00158745079 diff --git a/calib_data/_calib_data/calib2018-11-22_p0_c1.dat b/calib_data/_calib_data/calib2018-11-22_p0_c1.dat new file mode 100644 index 0000000..a30b454 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p0_c1.dat @@ -0,0 +1,25 @@ +48452.88 60.484 54.8898 0.00262982889 +54673.29 75.0179 65.9384 0.00293666477 +61365.31 94.348 79.9806 0.00216425507 +67761.34 119.9578 97.6598 0.00860093018 +74481.33 151.445 118.2744 0.00491161888 +80270.32 189.8111 141.965 0.00313368792 +84851.33 238.2673 170.0963 0.0085919148 +89077.23 296.876 202.2083 0.00670529641 +92243.22 369.7132 239.5763 0.0108526955 +94837.23 457.4852 281.7536 0.00590626786 +97212.33 563.0713 329.1026 0.00759499835 +99507.23 693.1 383.4569 0.0118122394 +101681.35 847.73 443.7427 0.0205144096 +103784.23 1044.949 515.4746 0.019511125 +105824.23 1290.306 598.5802 0.0126521144 +107830.32 1600.771 696.864 0.0508566613 +109854.23 2015.52 817.85 0.0205426386 +111834.22 2590.582 972.55 0.0418807832 +113797.23 3417.068 1174.911 0.0202212759 +115961.35 4640.103 1444.547 0.0308236922 +118054.22 6535.27 1814.188 0.0727846138 +120145.31 9646.39 2345.875 0.0865130048 +123686.22 15005.1 3126.573 0.34361039 +127104.22 25318.59 4379.349 0.217391122 +129554.22 30680.52 4952.358 0.0947501979 diff --git a/calib_data/_calib_data/calib2018-11-22_p0_c2.dat b/calib_data/_calib_data/calib2018-11-22_p0_c2.dat new file mode 100644 index 0000000..60a4472 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p0_c2.dat @@ -0,0 +1,25 @@ +48529.24 60.4652 37.17416 0.00087157329 +54751.29 75.0578 43.22829 0.00200132206 +61448.21 94.399 50.65705 0.00212857934 +67894.34 120.0443 59.68452 0.0033503373 +74558.22 151.518 69.8129 0.00211400095 +80347.23 189.8942 80.976 0.00219089023 +84928.22 238.3621 93.7139 0.00231279052 +89154.22 296.9721 107.6689 0.00451984513 +92320.31 369.7477 123.3115 0.00418150691 +94914.22 457.521 140.2897 0.00215893492 +97291.35 563.0424 158.5654 0.00156332978 +99584.22 693.207 178.6773 0.00907529614 +101758.23 847.792 200.0432 0.00977015865 +103861.35 1044.926 224.4443 0.0112588188 +105901.36 1290.293 251.3644 0.00482120317 +107907.23 1600.745 281.638 0.00930376268 +109931.34 2015.679 317.1278 0.0114662984 +111911.35 2590.705 359.9319 0.0135384268 +113874.22 3417.111 412.3175 0.00645794085 +116038.22 4640.48 477.0024 0.0109455014 +118131.34 6534.85 558.3413 0.0241925815 +120226.23 9646.54 664.295 0.0267675176 +123763.23 15002.33 802.692 0.0819975609 +127181.34 25317.71 995.818 0.0438588646 +129631.30 30665.01 1075.459 0.0328770437 diff --git a/calib_data/_calib_data/calib2018-11-22_p0_c4.dat b/calib_data/_calib_data/calib2018-11-22_p0_c4.dat new file mode 100644 index 0000000..102283e --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p0_c4.dat @@ -0,0 +1,25 @@ +48606.22 60.4375 55.8804 0.00192976683 +54829.82 75.0889 67.3431 0.00228670068 +61525.30 94.446 81.8406 0.0028397183 +67999.23 120.1087 100.1523 0.00376311042 +74635.31 151.581 121.4839 0.00472535713 +80424.22 189.9723 146.0962 0.00510646649 +85005.31 238.444 175.3623 0.0091170719 +89231.35 297.0521 208.8612 0.00849682294 +92397.23 369.7779 247.8874 0.00562529999 +94991.35 457.5337 292.0907 0.0039422075 +97368.23 563.005 341.8433 0.0178348255 +99661.36 693.225 399.1304 0.0185435703 +101835.31 847.838 462.8702 0.0188328437 +103938.23 1044.935 538.8511 0.01511916 +105978.23 1290.282 627.2174 0.0173079173 +107984.22 1600.799 731.912 0.0204841402 +110008.23 2015.826 861.467 0.0166162571 +111988.23 2590.775 1027.607 0.0547731686 +113951.35 3416.976 1245.94 0.0485386444 +116115.31 4640.505 1538.177 0.0562858774 +118208.22 6533.93 1941.32 0.0880681554 +120303.23 9646.1 2524.831 0.168751 +123840.32 14999.12 3389.142 0.490007755 +127258.23 25317 4788.022 0.100167859 +129708.22 30651.37 5428.324 0.168577579 diff --git a/calib_data/_calib_data/calib2018-11-22_p0_c5.dat b/calib_data/_calib_data/calib2018-11-22_p0_c5.dat new file mode 100644 index 0000000..ca3e8b9 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p0_c5.dat @@ -0,0 +1,25 @@ +48686.23 60.4075 77.6305 0.00210831686 +54910.31 75.1186 96.71 0.00457820926 +61602.30 94.482 121.7129 0.00860052324 +68086.22 120.1635 154.7506 0.00949547261 +74712.33 151.657 195.1125 0.0114002193 +80501.34 190.0477 244.2015 0.00665920416 +85082.32 238.5034 305.5624 0.0113483038 +89308.23 297.1217 379.5339 0.0154392033 +92474.22 369.8088 470.6575 0.013805977 +95068.22 457.5539 579.923 0.0173775718 +97445.32 562.9862 710.734 0.0291958901 +99738.22 693.161 870.675 0.0242590189 +101912.34 847.76 1060.676 0.0393497141 +104015.32 1045.016 1303.114 0.0236304888 +106055.32 1290.34 1605.788 0.0385953365 +108061.34 1600.874 1991.795 0.0547402959 +110085.30 2015.762 2512.007 0.0881935372 +112065.31 2590.864 3242.95 0.0815965686 +114028.22 3417.087 4309.796 0.113870101 +116192.37 4640.435 5920.737 0.195969641 +118285.31 6533.37 8471.58 0.279928562 +120380.32 9646.56 12793.46 0.725975206 +123917.23 15005.26 20509.14 6.03947349 +127339.81 25318.74 36022.07 2.28267606 +129785.31 30634.05 44292.41 1.47542875 diff --git a/calib_data/_calib_data/calib2018-11-22_p0_c6.dat b/calib_data/_calib_data/calib2018-11-22_p0_c6.dat new file mode 100644 index 0000000..78fbefe --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p0_c6.dat @@ -0,0 +1,25 @@ +48766.22 60.3792 78.2666 0.00157607106 +55023.81 75.1508 95.5701 0.00355091537 +61679.21 94.5213 117.8279 0.00591853022 +68171.34 120.2145 146.7761 0.00529613066 +74789.23 151.7268 181.5793 0.00818419208 +80578.23 190.1147 223.3322 0.011069598 +85159.22 238.5489 274.834 0.0140726685 +89385.32 297.197 336.3277 0.0144229331 +92551.32 369.8356 411.3335 0.0147778551 +95145.30 457.5875 500.6538 0.013497259 +97522.33 563.0046 606.4776 0.0146104072 +99815.31 693.114 735.546 0.0383979166 +101989.22 847.675 887.196 0.0211754575 +104092.33 1044.986 1078.757 0.0229368699 +106132.32 1290.337 1315.072 0.0263362868 +108138.23 1600.924 1612.218 0.0180997238 +110162.33 2015.573 2006.452 0.0736179326 +112142.34 2590.664 2549.667 0.120723237 +114105.31 3417.093 3326.113 0.10548033 +116269.22 4640.411 4469.8 0.0391407716 +118362.34 6534.28 6229.677 0.285657312 +120457.22 9646.66 9119.42 0.496346653 +123994.23 15003.11 14082.56 3.66128939 +127419.22 25317.86 23641.75 1.66530778 +129862.35 30612.84 28559.63 0.614499797 diff --git a/calib_data/_calib_data/calib2018-11-22_p1_c1.dat b/calib_data/_calib_data/calib2018-11-22_p1_c1.dat new file mode 100644 index 0000000..9c39978 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p1_c1.dat @@ -0,0 +1,25 @@ +48868.24 60.3376 54.7825 0.0021035684 +55185.51 75.1965 66.0722 0.00291135707 +61781.31 94.5657 80.1317 0.00138600144 +68281.34 120.2685 97.8819 0.0026923967 +74891.32 151.7907 118.4915 0.00356440738 +80680.31 190.2162 142.2034 0.00391714182 +85261.34 238.6454 170.2922 0.00678940351 +89487.22 297.2474 202.3778 0.00885866807 +92653.23 369.8308 239.6293 0.00592460969 +95247.23 457.5444 281.781 0.00527257053 +97624.22 563.0068 329.0919 0.00765434517 +99917.22 693.128 383.4585 0.0204798682 +102091.34 847.734 443.7521 0.0161712399 +104194.23 1044.999 515.4726 0.0289959307 +106234.22 1290.375 598.6058 0.0138620345 +108240.32 1600.783 696.833 0.0431752244 +110264.22 2015.466 817.82 0.0394461658 +112244.22 2590.637 972.545 0.0241350368 +114207.23 3417.158 1174.924 0.0363648182 +116371.32 4640.539 1444.481 0.0177454219 +118464.22 6533.49 1814.143 0.078791497 +120559.22 9646.95 2345.69 0.117490425 +124742.34 14994.73 3126.564 0.458661531 +127552.49 25318.13 4379.112 0.20492828 +129964.22 30594.24 4943.199 0.10793007 diff --git a/calib_data/_calib_data/calib2018-11-22_p1_c2.dat b/calib_data/_calib_data/calib2018-11-22_p1_c2.dat new file mode 100644 index 0000000..1bec714 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p1_c2.dat @@ -0,0 +1,25 @@ +48945.94 60.3156 37.11029 0.00113766867 +55374.23 75.2429 43.30628 0.00125457563 +61864.24 94.6055 50.73042 0.00220983257 +68375.88 120.3255 59.77833 0.00264163018 +74968.23 151.8348 69.907 0.00200499377 +80757.23 190.2683 81.0777 0.00294635368 +85338.22 238.7013 93.793 0.00244948974 +89564.22 297.2981 107.7414 0.00346467892 +92730.32 369.8569 123.3323 0.00420963181 +95324.22 457.5655 140.292 0.00593295879 +97701.33 562.9996 158.5544 0.00369107031 +99994.22 693.308 178.6816 0.00623249549 +102168.22 847.822 200.0453 0.00836068179 +104271.35 1044.926 224.4258 0.00803467485 +106311.36 1290.275 251.3745 0.00781952684 +108317.23 1600.718 281.6457 0.00439101355 +110341.35 2015.627 317.1216 0.0173960915 +112321.36 2590.874 359.9194 0.0140742318 +114284.22 3417.407 412.3334 0.016289383 +116448.22 4640.415 476.9958 0.0112452657 +118541.32 6534.99 558.3581 0.0312913566 +120636.21 9647.63 664.291 0.0177454219 +124819.22 14996.86 802.82 0.124531121 +127653.31 25315.78 995.716 0.0310869748 +130041.32 30582.2 1074.181 0.0470839675 diff --git a/calib_data/_calib_data/calib2018-11-22_p1_c4.dat b/calib_data/_calib_data/calib2018-11-22_p1_c4.dat new file mode 100644 index 0000000..1c528bb --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p1_c4.dat @@ -0,0 +1,25 @@ +49028.21 60.2955 55.772 0.00245356883 +55533.85 75.2915 67.4819 0.0142733668 +61944.22 94.6408 81.9832 0.0027921318 +68494.43 120.3796 100.3308 0.0182498219 +75045.31 151.8862 121.6848 0.00426333203 +80834.22 190.3274 146.3197 0.00281442712 +85415.32 238.7466 175.532 0.00937443332 +89641.35 297.3337 209.0132 0.0066929814 +92807.22 369.8657 247.9232 0.00894293017 +95401.35 457.5887 292.1168 0.00656627748 +97778.23 563.0089 341.8091 0.00664597623 +100071.34 693.322 399.1509 0.00970613208 +102245.32 847.837 462.8835 0.011205579 +104348.22 1044.968 538.8718 0.0202295823 +106388.23 1290.28 627.2096 0.0245055912 +108394.23 1600.798 731.94 0.0216794834 +110418.22 2015.69 861.512 0.0274153242 +112398.22 2590.898 1027.638 0.0198393548 +114361.35 3417.179 1245.953 0.025221023 +116525.31 4640.459 1538.166 0.0315974683 +118618.23 6535.27 1941.253 0.0757634477 +120713.23 9647.37 2524.795 0.0613392207 +124896.22 15001.92 3389.049 0.547341667 +127753.31 25314.15 4787.59 0.137971011 +130118.24 30571.43 5418.699 0.150999669 diff --git a/calib_data/_calib_data/calib2018-11-22_p1_c5.dat b/calib_data/_calib_data/calib2018-11-22_p1_c5.dat new file mode 100644 index 0000000..c20f0e0 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p1_c5.dat @@ -0,0 +1,25 @@ +49121.50 60.271 77.4495 0.00291976026 +55708.58 75.3258 96.9466 0.0250248676 +62022.61 94.6698 121.9532 0.00604119194 +68575.31 120.4188 155.0752 0.00662389613 +75122.32 151.9535 195.4886 0.00830204794 +80911.33 190.3841 244.6324 0.00507582506 +85492.33 238.783 305.9134 0.0176472094 +89718.22 297.3695 379.8695 0.00889859539 +92884.23 369.8807 470.743 0.0176312223 +95478.22 457.5925 579.9484 0.0208053839 +97855.32 563.0022 710.725 0.021691012 +100148.23 693.202 870.666 0.0377941794 +102322.33 847.774 1060.65 0.0402492236 +104425.31 1045.034 1303.142 0.0367096718 +106465.31 1290.362 1605.895 0.0348783601 +108471.34 1600.882 1991.706 0.0722800111 +110495.31 2015.652 2512.061 0.0663543518 +112475.31 2590.786 3243.051 0.101217093 +114438.22 3416.936 4309.739 0.107204944 +116602.38 4640.488 5920.601 0.211473166 +118695.31 6534.34 8471.66 0.316922704 +120790.30 9646.81 12794.06 0.425957744 +124973.23 15006.94 20500.5 5.02262879 +127850.32 25317.66 36020.14 1.62235631 +130195.31 30563.4 44179.2 0.865332306 diff --git a/calib_data/_calib_data/calib2018-11-22_p1_c6.dat b/calib_data/_calib_data/calib2018-11-22_p1_c6.dat new file mode 100644 index 0000000..0908c96 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p1_c6.dat @@ -0,0 +1,25 @@ +49198.22 60.2508 78.1118 0.00192249837 +55846.21 75.3545 95.7883 0.0211797309 +62100.30 94.7013 118.0283 0.00614337041 +68654.94 120.4598 147.0366 0.00463939651 +75199.22 152.0055 181.8806 0.00857927736 +80988.22 190.4312 223.6481 0.00539527571 +85569.23 238.792 275.1007 0.00481674164 +89795.31 297.415 336.5501 0.012115651 +92961.34 369.9109 411.4031 0.011182531 +95555.31 457.5937 500.6939 0.0106286876 +97934.50 563.0269 606.5014 0.0127531957 +100225.32 693.169 735.597 0.0161276161 +102399.22 847.73 887.199 0.0233430932 +104502.34 1044.935 1078.749 0.0267749883 +106542.34 1290.304 1315.07 0.0326496554 +108548.23 1600.94 1612.18 0.0364691651 +110572.33 2015.702 2006.317 0.0454983516 +112552.33 2590.786 2549.706 0.0931149827 +114515.32 3417.06 3325.941 0.0882320803 +116679.22 4640.583 4469.723 0.0895326756 +118779.23 6534.16 6229.654 0.37128749 +120867.22 9646.39 9119.25 0.489948977 +125050.32 15002.62 14081.77 1.85785091 +127929.22 25318.51 23642.47 0.905544035 +130272.34 30554.14 28504.06 0.844890525 diff --git a/calib_data/_calib_data/calib2018-11-22_p2_c1.dat b/calib_data/_calib_data/calib2018-11-22_p2_c1.dat new file mode 100644 index 0000000..d43f6ab --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p2_c1.dat @@ -0,0 +1,25 @@ +49303.23 60.2289 54.6939 0.0021883784 +55951.29 75.3736 66.1829 0.0107586709 +62202.31 94.7307 80.245 0.00252982213 +68832.57 120.5155 98.042 0.00173205081 +75301.34 152.0526 118.6513 0.0035554184 +81090.32 190.5148 142.377 0.00426380112 +85671.33 238.8507 170.4087 0.00862096282 +89897.23 297.4375 202.4864 0.00746485097 +93063.22 369.8894 239.665 0.00656201189 +95657.23 457.5882 281.798 0.00622253967 +98038.22 563.035 329.0826 0.00588421618 +100327.23 693.17 383.4559 0.0165375028 +102501.34 847.719 443.7638 0.0139698246 +104604.22 1044.947 515.4739 0.0119041589 +106644.23 1290.329 598.5779 0.0212605033 +108650.31 1600.86 696.813 0.0431520567 +110674.23 2015.481 817.822 0.0216702561 +112654.23 2590.556 972.565 0.028748913 +114617.22 3417.06 1174.903 0.0302340867 +116782.36 4640.614 1444.528 0.038672988 +118881.35 6533.84 1814.046 0.096728486 +120969.22 9646.41 2345.916 0.0512679237 +125927.22 14996.9 3126.685 0.330067417 +128033.23 25318.45 4379.081 0.08806191 +130374.23 30545.1 4938.281 0.0995836332 diff --git a/calib_data/_calib_data/calib2018-11-22_p2_c2.dat b/calib_data/_calib_data/calib2018-11-22_p2_c2.dat new file mode 100644 index 0000000..e872176 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p2_c2.dat @@ -0,0 +1,25 @@ +49381.79 60.2185 37.06758 0.00158769015 +56027.22 75.3868 43.35196 0.00464416193 +62280.31 94.7602 50.78782 0.0019387006 +69039.95 120.5845 59.86688 0.00358836453 +75378.23 152.085 69.9828 0.00164802913 +81167.23 190.5542 81.1577 0.0024861617 +85748.22 238.8813 93.8404 0.00328390012 +89974.22 297.4577 107.7792 0.00321185305 +93140.32 369.8921 123.3443 0.00225853935 +95734.22 457.5855 140.2992 0.00328268183 +98115.31 563.0188 158.5584 0.00421473605 +100404.22 693.242 178.684 0.00688186021 +102578.23 847.792 200.0443 0.00924559355 +104681.35 1044.957 224.4362 0.00518613536 +106721.34 1290.338 251.3717 0.00385758992 +108727.23 1600.767 281.6464 0.00608802102 +110751.34 2015.634 317.1282 0.0164132873 +112731.33 2590.643 359.9192 0.0142216736 +114694.22 3417.098 412.3026 0.0117296206 +116861.34 4640.521 476.9806 0.00449711018 +118975.31 6534.39 558.3923 0.00805983871 +121046.22 9646.61 664.232 0.0284885942 +126004.22 14997.39 802.788 0.109961812 +128141.32 25316.63 995.771 0.0173464694 +130451.31 30541.1 1073.654 0.00896660471 diff --git a/calib_data/_calib_data/calib2018-11-22_p2_c4.dat b/calib_data/_calib_data/calib2018-11-22_p2_c4.dat new file mode 100644 index 0000000..3ea7f7f --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p2_c4.dat @@ -0,0 +1,25 @@ +49505.58 60.206 55.7 0.00326802693 +56105.30 75.3976 67.5811 0.00288253361 +62360.30 94.787 82.0937 0.00237928561 +69228.82 120.6462 100.5208 0.0178386098 +75455.31 152.1219 121.8362 0.00515131051 +81244.22 190.6025 146.4841 0.00200723691 +85825.31 238.9099 175.6318 0.00416845295 +90051.35 297.4859 209.0885 0.0054392095 +93217.23 369.9073 247.9487 0.00826807112 +95811.34 457.5914 292.1251 0.00546708332 +98192.33 563.0363 341.8221 0.00765956918 +100481.35 693.214 399.1462 0.0161095003 +102655.31 847.829 462.8571 0.019509203 +104758.22 1044.989 538.8729 0.0230401606 +106798.22 1290.316 627.2094 0.0196561441 +108804.22 1600.763 731.896 0.0181218101 +110828.22 2015.682 861.499 0.0176889796 +112808.22 2590.716 1027.64 0.0173781472 +114771.35 3417.183 1245.946 0.0278998208 +117000.38 4640.444 1538.156 0.0395524968 +119102.32 6534.67 1941.262 0.102993204 +121123.23 9647.11 2524.597 0.0912036183 +126081.32 15004.61 3389.88 0.56540428 +128226.21 25315 4787.527 0.203051964 +130528.22 30536.05 5414.835 0.181434561 diff --git a/calib_data/_calib_data/calib2018-11-22_p2_c5.dat b/calib_data/_calib_data/calib2018-11-22_p2_c5.dat new file mode 100644 index 0000000..0eaa231 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p2_c5.dat @@ -0,0 +1,25 @@ +49597.41 60.1849 77.3515 0.00215522621 +56183.22 75.4074 97.0824 0.00413085947 +62437.22 94.8085 122.1255 0.0075594312 +69379.37 120.6903 155.4109 0.0333677839 +75532.32 152.1752 195.7798 0.0095945818 +81321.35 190.6432 244.9692 0.0111962494 +85902.32 238.9394 306.1207 0.00770071425 +90128.23 297.4954 380.0144 0.0158386868 +93294.23 369.9169 470.7936 0.0128935643 +95888.22 457.6022 579.9689 0.0193806347 +98269.23 563.0236 710.743 0.0176663522 +100558.22 693.177 870.693 0.0427094837 +102732.34 847.754 1060.692 0.0284534708 +104835.31 1045.048 1303.109 0.0486096698 +106875.32 1290.329 1605.894 0.0378206293 +108881.34 1600.879 1991.772 0.0709901402 +110905.32 2015.666 2512.233 0.080548743 +112885.31 2590.687 3242.896 0.164597691 +114848.23 3417.063 4309.795 0.121179619 +117091.09 4640.568 5920.675 0.158026896 +119179.22 6534.28 8471.77 0.318449368 +121200.32 9647.38 12793.99 0.584200308 +126159.22 15006.89 20503.11 6.07635499 +128330.64 25317.33 36024.72 1.29836821 +130605.32 30531.63 44132.64 1.17193856 diff --git a/calib_data/_calib_data/calib2018-11-22_p2_c6.dat b/calib_data/_calib_data/calib2018-11-22_p2_c6.dat new file mode 100644 index 0000000..6311861 --- /dev/null +++ b/calib_data/_calib_data/calib2018-11-22_p2_c6.dat @@ -0,0 +1,25 @@ +49726.92 60.173 78.0333 0.00208350666 +56262.27 75.424 95.8831 0.00244724335 +62513.37 94.8328 118.1827 0.00424982353 +69495.31 120.7266 147.3166 0.0288988581 +75609.22 152.2231 182.1227 0.00478131781 +81398.22 190.6726 223.9194 0.0106058474 +85979.22 238.9525 275.2435 0.00809475139 +90205.32 297.5145 336.6517 0.0125539237 +93371.33 369.9339 411.4411 0.0102161147 +95965.31 457.6255 500.7066 0.00566956788 +98346.23 563.0572 606.5454 0.0221093645 +100635.31 693.154 735.574 0.0216425507 +102809.23 847.691 887.179 0.0348554156 +104912.34 1045.006 1078.744 0.0312473999 +106953.23 1290.327 1315.06 0.0614979674 +108958.22 1600.97 1612.167 0.037230364 +110982.35 2015.663 2006.278 0.0782534344 +112962.34 2590.591 2549.577 0.0924018398 +114925.32 3417.012 3325.99 0.0766811581 +117209.57 4640.656 4469.888 0.108404797 +119269.23 6533.63 6229.692 0.372501812 +121277.22 9648.31 9119.87 0.460662566 +126242.32 15000.72 14084.83 2.98040433 +128416.21 25318 23639.15 0.676793913 +130682.34 30525.52 28477.15 0.532963413 diff --git a/calib_data/_calib_data/calib2021-04-26_p0_c1.dat b/calib_data/_calib_data/calib2021-04-26_p0_c1.dat new file mode 100644 index 0000000..138078c --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p0_c1.dat @@ -0,0 +1,59 @@ +71324.31 26788.25 9218.55 0.883996606 +73287.31 21464.01 7772.96 0.384239509 +75249.31 17491.93 6638.5 0.137840488 +77210.43 14495.35 5744.21 0.428823973 +79187.30 11969.96 4950.927 0.18994236 +81154.32 10076.25 4331.953 0.165686753 +83117.33 8557.53 3815.539 0.147122058 +85079.30 7339.51 3385.254 0.10257875 +87041.45 6325.24 3013.781 0.119669963 +89004.32 5484.37 2695.106 0.0837639541 +90881.47 4804.658 2429.877 0.0300682557 +92843.39 4222.767 2194.838 0.0258379566 +94811.43 3738.594 1993.402 0.0527029411 +96777.34 3327.015 1817.438 0.0229695451 +98742.42 2975.547 1663.079 0.0229106962 +100710.43 2670.978 1525.225 0.0602868145 +102672.45 2403.893 1402.056 0.0386574702 +104635.43 2177.053 1295.022 0.0502752424 +106598.32 1975.154 1197.68 0.0411825206 +108559.33 1797.769 1110.322 0.049855792 +110521.47 1640.585 1031.305 0.0456344168 +112487.31 1495.661 957.501 0.00457165178 +114449.31 1371.974 892.853 0.00664078309 +116433.38 1259.91 833.219 0.00670074623 +118418.33 1159.047 778.544 0.00777174369 +120402.41 1068.3 728.537 0.00448330235 +122383.38 981.421 679.792 0.00464758002 +124378.32 904.362 635.743 0.00566568619 +126371.46 835.575 595.751 0.00555877684 +128365.42 767.594 555.533 0.00375499667 +130395.43 707.809 519.505 0.00380788655 +132441.44 652.642 485.4152 0.0204092136 +134528.32 601.805 453.6764 0.0177522956 +136612.42 553.714 423.1091 0.0153254364 +138756.30 508.822 394.0538 0.0145648893 +140967.31 468.2553 367.4895 0.00309919344 +143236.31 430.051 341.8673 0.00541488689 +145595.43 395.2533 318.128 0.00283548938 +148131.44 363.0315 295.7835 0.00338304596 +151117.30 333.5001 274.9707 0.00401260514 +154643.37 305.5903 254.9868 0.00325514977 +158577.31 281.358 237.3704 0.00496024193 +162870.43 259.2435 221.0578 0.00482866441 +167303.38 237.1329 204.5027 0.00444533463 +171733.47 217.0174 189.22 0.00358887169 +176254.33 198.6264 175.0427 0.00325284491 +180869.31 181.2352 161.4404 0.00318496468 +185482.38 165.8101 149.1184 0.0041837782 +190188.33 151.344 137.5899 0.00239353295 +194887.33 138.1991 126.8927 0.00253396922 +199591.47 126.1879 116.9945 0.00223718573 +204385.43 114.584 107.3151 0.00196188685 +209086.31 104.2799 98.6185 0.0018069311 +213785.45 95.0914 90.7738 0.00161121072 +218430.45 86.1956 83.0949 0.00165196852 +224300.44 77.9688 75.9116 0.00105071404 +229449.31 71.5522 70.2526 0.000827042925 +234778.33 65.3199 64.7004 0.000814861951 +239657.32 60.6828 60.5324 0.000651152824 diff --git a/calib_data/_calib_data/calib2021-04-26_p0_c2.dat b/calib_data/_calib_data/calib2021-04-26_p0_c2.dat new file mode 100644 index 0000000..92ebe74 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p0_c2.dat @@ -0,0 +1,58 @@ +73364.31 21461.43 27560.94 1.90851775 +75326.33 17491.23 22231.39 1.48185357 +77287.31 14494.71 18271.52 1.85331055 +79264.31 11969.67 14950.12 1.04171013 +81231.45 10076.56 12494.13 0.395739814 +83194.32 8557.47 10540.91 0.302142351 +85156.32 7339.83 8987.94 0.2691468 +87118.30 6325.37 7704.33 0.149030198 +89081.46 5484.44 6647.16 0.276839304 +90958.30 4804.546 5801.65 0.160779352 +92920.45 4222.637 5079.54 0.434787304 +94888.33 3738.702 4479.602 0.158182173 +96854.31 3327.142 3974.179 0.13429408 +98819.31 2975.664 3544.455 0.104921399 +100788.32 2671.019 3173.422 0.107086881 +102749.33 2403.929 2849.606 0.0557530268 +104712.47 2177.066 2575.552 0.0900311057 +106675.44 1975.197 2332.415 0.0958044884 +108636.31 1797.779 2119.659 0.051038221 +110598.31 1640.56 1931.355 0.0514830069 +112564.31 1495.637 1759.513 0.0706264823 +114526.31 1371.947 1612.153 0.0620169332 +116510.46 1259.97 1478.278 0.0398948618 +118495.44 1159.066 1358.6 0.0399499687 +120479.32 1068.351 1251.224 0.0289551377 +122460.45 981.485 1148.543 0.0238348484 +124455.42 904.385 1057.532 0.0268626134 +126448.32 835.59 976.436 0.0251872984 +128442.43 767.612 896.414 0.0148458748 +130472.43 707.817 826.053 0.0204963411 +132518.33 652.627 761.089 0.0183002732 +134605.42 601.793 701.391 0.0109954536 +136689.32 553.706 644.94 0.0218174242 +138833.37 508.812 592.301 0.0186788651 +141044.32 468.2432 545.085 0.0232916294 +143313.39 430.0626 500.1077 0.0152689554 +145672.42 395.2505 459.3623 0.0111830676 +148208.30 363.0018 421.6333 0.0084273958 +151194.31 333.4194 387.0542 0.0051668172 +154720.43 305.5366 354.4872 0.00675692238 +158654.33 281.2437 326.14 0.00457820926 +162947.32 259.1309 300.3475 0.00576411311 +167380.44 237.0301 274.5935 0.00438919127 +171810.44 216.9205 251.1848 0.0049935959 +176331.39 198.5395 229.8048 0.00404425518 +180946.31 181.1501 209.5947 0.004238042 +185559.33 165.7288 191.6873 0.00432908766 +190265.43 151.2706 175.0734 0.0108703266 +194964.32 138.132 159.8534 0.0104155653 +199668.31 126.131 145.8657 0.00244151592 +204462.46 114.5329 132.4618 0.00237823464 +209163.47 104.234 120.5694 0.00209380037 +213862.48 95.0517 109.9722 0.0020774985 +218507.32 86.1591 99.7177 0.00173233946 +224377.32 77.9592 90.2624 0.00142267354 +229526.32 71.5424 82.8643 0.00127318498 +234855.44 65.3022 75.6679 0.00108120303 +239734.32 60.6738 70.3234 0.00169233566 diff --git a/calib_data/_calib_data/calib2021-04-26_p0_c4.dat b/calib_data/_calib_data/calib2021-04-26_p0_c4.dat new file mode 100644 index 0000000..3dead48 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p0_c4.dat @@ -0,0 +1,57 @@ +75403.48 17491.32 6132.15 0.124298029 +77364.32 14494.9 5308.93 0.170323222 +79341.48 11969.16 4578.409 0.13774215 +81308.32 10076.61 4007.849 0.11152085 +83271.43 8557.57 3531.281 0.14699966 +85233.39 7340.38 3134.292 0.0924856746 +87195.44 6325.22 2791.415 0.0923607059 +89158.32 5484.38 2497.082 0.0911021405 +91035.44 4804.521 2252.119 0.0251972221 +92997.31 4222.659 2035.04 0.0254950976 +94965.43 3738.683 1848.938 0.0339352324 +96931.51 3327.152 1686.278 0.028170907 +98896.33 2975.918 1542.971 0.0568058096 +100865.45 2671.022 1416.13 0.0514975728 +102826.31 2403.88 1302.24 0.0524785671 +104789.31 2177.076 1203.306 0.049963987 +106752.44 1975.166 1113.254 0.0440272643 +108713.38 1797.768 1032.468 0.0442673695 +110675.44 1640.486 959.377 0.0355260468 +112641.46 1495.635 891.117 0.00375499667 +114603.37 1371.93 831.304 0.00428952212 +116587.31 1259.962 776.164 0.00885437745 +118572.47 1159.066 725.555 0.00587367006 +120556.31 1068.337 679.272 0.00914330356 +122537.32 981.498 634.15 0.00860232527 +124532.43 904.36 593.352 0.00464758002 +126525.44 835.585 556.329 0.00386005181 +128519.31 767.618 519.075 0.00494974747 +130549.32 707.904 485.5311 0.0208228 +132595.44 652.619 454.1121 0.0185819536 +134682.45 601.796 424.6964 0.0174569184 +136766.32 553.685 396.3601 0.0159877766 +138910.42 508.806 369.4258 0.0150756758 +141121.49 468.2372 344.7955 0.00143701079 +143390.44 430.0521 321.0294 0.00235881326 +145749.32 395.2384 298.9972 0.00126332894 +148285.44 362.966 278.221 0.0022627417 +151271.50 333.3375 258.8346 0.00337994083 +154797.31 305.4983 240.3164 0.00237571042 +158731.45 281.1256 223.8529 0.00387930406 +163024.32 259.0151 208.6903 0.00513429645 +167457.33 236.9298 193.3115 0.00399311908 +171887.32 216.8252 179.1033 0.00339425986 +176408.31 198.4483 165.9213 0.00331677554 +181023.44 181.0948 153.1873 0.00550463441 +185636.31 165.6556 141.7952 0.004826593 +190342.49 151.2013 131.0659 0.00204670467 +195041.49 138.069 121.0977 0.00191859323 +199745.44 126.0734 111.8662 0.00227508242 +204539.32 114.4819 102.8347 0.00192379833 +209240.44 104.1883 94.7115 0.00190918831 +213939.31 95.0117 87.3801 0.00172307864 +218584.33 86.1221 80.1915 0.00144395291 +224454.32 77.948 73.5033 0.000917060521 +229603.48 71.5296 68.1937 0.000721803297 +234932.45 65.2838 62.9741 0.00092141196 +239811.42 60.6654 59.0793 0.000860813569 diff --git a/calib_data/_calib_data/calib2021-04-26_p0_c5.dat b/calib_data/_calib_data/calib2021-04-26_p0_c5.dat new file mode 100644 index 0000000..7bef4f5 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p0_c5.dat @@ -0,0 +1,56 @@ +77441.43 14495.17 23635.99 1.25987698 +79418.33 11967.54 19117.59 2.62512666 +81385.43 10077.08 15805.46 0.928784151 +83348.32 8557.79 13205.59 0.934285824 +85310.43 7340.48 11160.64 0.423603588 +87272.44 6325.55 9485.34 0.735554213 +89235.43 5484.49 8120.31 0.144533733 +91112.43 4804.536 7036.44 0.253456111 +93074.32 4222.769 6118.26 0.1394274 +95042.49 3738.392 5363.94 0.109726934 +97008.31 3327.159 4729.411 0.170988011 +98973.40 2975.949 4195.004 0.123095085 +100942.46 2671.038 3736.28 0.154434452 +102903.39 2403.923 3338.424 0.159349929 +104866.31 2177.106 3003.853 0.0867185101 +106829.30 1975.161 2708.528 0.0811763512 +108790.43 1797.742 2451.207 0.050636943 +110752.44 1640.539 2224.92 0.0392683078 +112718.30 1495.635 2019.103 0.045630034 +114680.44 1371.929 1843.503 0.0398509724 +116664.32 1259.86 1685.415 0.0407737661 +118649.33 1159.069 1543.333 0.0340014706 +120633.46 1068.348 1416.875 0.0477336359 +122614.34 981.481 1296.461 0.0403596333 +124609.31 904.37 1190.12 0.0538516481 +126602.38 835.597 1095.761 0.0425546707 +128596.32 767.626 1002.94 0.0311769145 +130626.31 707.906 921.66 0.0324653662 +132672.44 652.625 846.813 0.023918612 +134759.30 601.795 778.27 0.0254165301 +136843.36 553.688 713.705 0.0146458185 +138987.32 508.807 653.666 0.0227683992 +141198.32 468.2326 599.973 0.0164954539 +143467.33 430.0173 549.236 0.0176181724 +145826.33 395.2355 502.9965 0.0180062489 +148362.45 362.9429 460.4558 0.00882360471 +151348.32 333.2768 421.5179 0.00992113905 +154874.32 305.4777 385.1566 0.00812797638 +158808.32 281.0241 353.2942 0.0064386334 +163101.41 258.9075 324.5751 0.00569640237 +167534.31 236.8357 296.0158 0.00672577133 +171964.31 216.7394 270.1249 0.00467001071 +176485.43 198.3656 246.5379 0.0074905941 +181100.43 181.0167 224.3194 0.00431555327 +185713.40 165.583 204.6604 0.00485427647 +190419.31 151.1358 186.4823 0.0101823868 +195118.30 138.0092 169.8739 0.00856089949 +199822.37 126.0195 154.6604 0.00315974683 +204616.33 114.4316 140.121 0.00238746728 +209317.32 104.1452 127.2552 0.00221269067 +214016.33 94.9749 115.8258 0.00159874951 +218661.45 86.0872 104.7836 0.00147105404 +224531.46 77.9401 94.693 0.00100995049 +229680.44 71.5173 86.7565 0.00164468842 +235009.32 65.2696 79.047 0.00142126704 +239888.31 60.6577 73.3675 0.00104163333 diff --git a/calib_data/_calib_data/calib2021-04-26_p0_c6.dat b/calib_data/_calib_data/calib2021-04-26_p0_c6.dat new file mode 100644 index 0000000..0d0af19 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p0_c6.dat @@ -0,0 +1,55 @@ +79495.44 11967.5 384.4229 0.00885601491 +81462.44 10076.37 363.8948 0.00922258098 +83425.44 8557.53 345.0527 0.00842146068 +85387.33 7339.89 327.8911 0.00995434578 +87349.32 6325.66 311.7646 0.0121508847 +89312.46 5484.77 296.7669 0.00927949352 +91189.33 4804.608 283.3111 0.00168196314 +93151.43 4222.861 270.4892 0.00143387587 +95119.31 3738.402 258.7149 0.00257079754 +97085.43 3327.354 247.7535 0.00122678441 +99050.44 2975.598 237.5226 0.0024584548 +101019.30 2670.822 227.8746 0.000709929574 +102980.43 2403.655 218.7073 0.00198015151 +104943.38 2176.916 210.307 0.00312409987 +106906.30 1975.024 202.2658 0.00380998688 +108867.32 1797.618 194.6907 0.00309531905 +110829.32 1640.468 187.5099 0.00232572569 +112795.44 1495.611 180.5076 0.0064810493 +114757.32 1371.904 174.0783 0.00581214246 +116741.47 1259.835 167.8938 0.00367641129 +118726.33 1159.042 162.0009 0.00505064352 +120710.43 1068.431 156.2868 0.00484726727 +122691.48 981.548 150.5928 0.00575986111 +124686.31 904.47 145.2439 0.00579905165 +126679.32 835.683 140.2005 0.00425969482 +128673.46 767.684 134.9227 0.00547183699 +130703.36 707.892 130.0079 0.00505855711 +132749.31 652.606 125.1994 0.00507976377 +134836.30 601.765 120.5208 0.00483694118 +136920.43 553.669 115.8396 0.00411387895 +139064.31 508.79 111.2146 0.00235881326 +141275.46 468.2232 106.8179 0.00097416631 +143544.32 430.013 102.411 0.0014 +145903.37 395.2313 98.1763 0.000825227241 +148439.32 362.9259 94.0275 0.00138021737 +151425.44 333.2316 90.0118 0.000797496081 +154951.46 305.4671 86.0583 0.000510881591 +158885.44 280.9259 82.3817 0.00100049988 +163178.31 258.8062 78.9042 0.000946572765 +167611.47 236.7514 75.2624 0.000802496106 +172041.45 216.6624 71.7716 0.00106957936 +176562.38 198.2949 68.4248 0.00888684421 +181177.33 180.92 65.0715 0.00103198837 +185790.43 165.4948 61.9476 0.000619677335 +190496.33 151.0688 58.9037 0.00267600448 +195195.42 137.9454 55.964 0.00224053565 +199899.32 125.9631 53.143 0.00223606798 +204693.40 114.3895 50.25328 0.00110786281 +209394.32 104.1077 47.58198 0.0011725016 +214093.37 94.9445 45.08546 0.00126168142 +218738.33 86.0584 42.54894 0.000981549795 +224608.32 77.9375 40.11805 0.00132130617 +229757.31 71.5115 38.11002 0.00109697767 +235086.31 65.2614 36.07571 0.00122885719 +239965.44 60.6543 34.52164 0.00109838063 diff --git a/calib_data/_calib_data/calib2021-04-26_p1_c1.dat b/calib_data/_calib_data/calib2021-04-26_p1_c1.dat new file mode 100644 index 0000000..03b6a71 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p1_c1.dat @@ -0,0 +1,59 @@ +71734.32 26789.83 9219.62 0.166613325 +73697.32 21463.69 7772.49 0.279803502 +75659.32 17491.71 6638.07 0.308561177 +77620.44 14496.17 5743.71 0.330287753 +79597.32 11970.07 4951.032 0.111398384 +81564.32 10076.43 4332.066 0.190132585 +83527.34 8556.96 3815.413 0.113719391 +85489.33 7339.93 3385.315 0.106407237 +87451.46 6325.65 3013.799 0.110575314 +89414.30 5484.09 2695.109 0.0997742452 +91291.45 4804.863 2429.87 0.0277128129 +93253.37 4223.004 2194.965 0.0881164003 +95221.47 3738.539 1993.388 0.0238243573 +97187.32 3327.094 1817.425 0.0176210102 +99152.45 2975.33 1663.08 0.0177763888 +101121.49 2670.962 1525.226 0.0394005076 +103082.45 2403.874 1402.013 0.0632305306 +105045.44 2177.039 1294.994 0.0555553778 +107008.32 1975.1 1197.658 0.0421141306 +108969.32 1797.593 1110.295 0.0431103236 +110931.45 1640.525 1031.285 0.0436405774 +112897.32 1495.64 957.486 0.00603324125 +114859.32 1371.984 892.829 0.00555877684 +116843.36 1259.924 833.205 0.00514781507 +118828.31 1159.039 778.539 0.00457165178 +120812.48 1068.363 728.538 0.00419523539 +122793.46 981.465 679.793 0.00510881591 +124788.33 904.374 635.738 0.00394968353 +126781.45 835.545 595.753 0.00693541635 +128775.44 767.577 555.52 0.00447213595 +130805.43 707.807 519.49 0.004 +132851.45 652.624 485.4037 0.0186612165 +134938.32 601.771 453.6658 0.0163394002 +137022.45 553.679 423.0888 0.0183895623 +139166.32 508.804 394.0341 0.0170173147 +141377.33 468.2433 367.4713 0.00200024998 +143646.32 430.0371 341.8467 0.00381064299 +146005.44 395.2253 318.1046 0.00134313067 +148541.64 362.8966 295.6889 0.00307066768 +151527.32 333.1755 274.7372 0.00184824241 +155053.37 305.44 254.8806 0.00323790055 +158987.31 280.7956 236.9527 0.00351582138 +163280.44 258.6649 220.6212 0.00357155428 +167713.48 236.6197 204.115 0.00310805405 +172143.36 216.5528 188.8584 0.00295702553 +176664.32 198.1922 174.7028 0.00256046871 +181279.32 180.8208 161.1176 0.00260844781 +185892.47 165.4237 148.809 0.00555877684 +190598.33 151.005 137.3102 0.00214848784 +195297.32 137.8866 126.6328 0.00166012048 +200001.48 125.8995 116.7769 0.0216870699 +204795.42 114.3308 107.099 0.0013190906 +209496.32 104.0519 98.4214 0.00142267354 +214195.43 94.8947 90.6026 0.00115931014 +218840.42 86.0098 82.9346 0.00125857062 +224710.42 77.9248 75.8716 0.00115931014 +229859.32 71.4937 70.1997 0.000448330235 +235188.31 65.2441 64.6303 0.00103004854 +240067.33 60.6401 60.4915 0.000897217922 diff --git a/calib_data/_calib_data/calib2021-04-26_p1_c2.dat b/calib_data/_calib_data/calib2021-04-26_p1_c2.dat new file mode 100644 index 0000000..8789789 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p1_c2.dat @@ -0,0 +1,58 @@ +73774.34 21462.17 27559.11 1.30648 +75736.32 17491.53 22233.63 1.25976585 +77697.33 14494.66 18269.82 1.07375975 +79674.31 11971 14950.31 1.27768932 +81641.45 10076.33 12493.68 0.927987069 +83604.33 8557.26 10541.1 0.209284495 +85566.31 7340.1 8987.5 0.470319041 +87528.33 6325.29 7703.96 0.257759578 +89491.48 5484.55 6647.34 0.182318403 +91368.33 4804.556 5801.31 0.248777009 +93330.43 4222.68 5079.19 0.167600716 +95298.31 3738.609 4479.621 0.135502399 +97264.33 3327.135 3974.283 0.108508525 +99229.31 2975.498 3544.495 0.101145934 +101198.32 2670.958 3173.44 0.0570087713 +103159.31 2403.862 2849.513 0.0707961863 +105122.47 2177.088 2575.55 0.0409145451 +107085.43 1975.065 2332.46 0.049010203 +109046.30 1797.777 2119.551 0.0598071902 +111008.32 1640.501 1931.349 0.0408276867 +112974.32 1495.629 1759.542 0.0770947469 +114936.32 1371.899 1612.128 0.0524175543 +116920.44 1259.952 1478.247 0.0472027542 +118905.45 1159.073 1358.592 0.0330998489 +120889.34 1068.352 1251.183 0.0318135191 +122870.43 981.455 1148.519 0.0332701067 +124865.43 904.377 1057.509 0.0309661105 +126858.31 835.583 976.426 0.0246251904 +128852.44 767.616 896.381 0.0280873637 +130882.45 707.799 826.021 0.0262087772 +132928.32 652.608 761.07 0.0189208879 +135015.42 601.763 701.367 0.0169735088 +137099.32 553.677 644.92 0.0154919334 +139243.35 508.793 592.277 0.0117515956 +141454.33 468.2107 545.033 0.0154304893 +143723.39 430.0387 500.0705 0.0135027775 +146082.45 395.2286 459.3243 0.0144471797 +148618.31 362.8994 421.5191 0.010546516 +151604.33 333.1477 386.7417 0.00964370261 +155130.44 305.4425 354.3789 0.00736810695 +159064.33 280.7071 325.5085 0.00693577681 +163357.33 258.5669 299.6943 0.00356384624 +167790.42 236.5375 274.0243 0.00442730166 +172220.44 216.4776 250.666 0.00235796522 +176741.51 198.1174 229.3165 0.00461356695 +181356.33 180.7557 209.147 0.0024 +185969.31 165.365 191.2629 0.00336288567 +190675.43 150.9394 174.6906 0.0101835161 +195374.30 137.8286 159.5017 0.00967165963 +200078.31 125.8534 145.5443 0.00263837071 +204872.37 114.2894 132.1785 0.0024829418 +209573.38 104.013 120.3137 0.00145636534 +214272.48 94.8613 109.7523 0.00204474937 +218917.32 85.9834 99.5138 0.00146150607 +224787.33 77.9188 90.2163 0.00176663522 +229936.31 71.4827 82.7958 0.00157987341 +235265.44 65.236 75.5903 0.00156236999 +240144.33 60.6329 70.2764 0.00108811764 diff --git a/calib_data/_calib_data/calib2021-04-26_p1_c4.dat b/calib_data/_calib_data/calib2021-04-26_p1_c4.dat new file mode 100644 index 0000000..81eb533 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p1_c4.dat @@ -0,0 +1,57 @@ +75813.38 17490.81 6132.02 0.0957078889 +77774.33 14492.33 5306.58 0.233152311 +79751.45 11971.08 4578.481 0.11671718 +81718.33 10076 4007.821 0.143439534 +83681.45 8558.22 3531.335 0.0779775609 +85643.40 7340.02 3134.277 0.102313733 +87605.44 6325.23 2791.405 0.0858981956 +89568.32 5484.44 2497.126 0.0777200103 +91445.44 4804.54 2252.17 0.0626418391 +93407.32 4222.718 2035.025 0.0241350368 +95375.43 3738.717 1848.901 0.0354809808 +97340.45 3327.227 1686.329 0.0396093423 +99306.31 2975.832 1542.959 0.0571917826 +101275.45 2670.947 1416.126 0.0472482804 +103236.31 2403.809 1302.218 0.0475142084 +105199.30 2177.017 1203.281 0.0409499695 +107162.45 1975.07 1113.243 0.0463044274 +109123.39 1797.72 1032.463 0.0331978915 +111085.44 1640.482 959.385 0.0356440738 +113051.43 1495.611 891.098 0.0122311079 +115013.41 1371.915 831.291 0.003591657 +116997.32 1259.957 776.138 0.00689927532 +118982.37 1159.063 725.548 0.00689927532 +120966.32 1068.32 679.26 0.006164414 +122947.32 981.458 634.122 0.007183314 +124942.46 904.361 593.355 0.00430116263 +126935.44 835.585 556.313 0.0126530629 +128929.31 767.604 519.074 0.00709929574 +130959.31 707.895 485.5196 0.0209161182 +133005.42 652.599 454.104 0.0171224998 +135092.43 601.763 424.6862 0.0172341521 +137176.33 553.677 396.3498 0.0164242504 +139320.43 508.777 369.4112 0.0158213779 +141531.47 468.2048 344.7733 0.00307262103 +143800.43 430.0289 321.0198 0.00294210809 +146159.31 395.2218 298.9821 0.00310950157 +148695.44 362.9013 278.182 0.00146287388 +151681.48 333.1251 258.6962 0.00339352324 +155207.31 305.4318 240.2737 0.00283919003 +159141.49 280.623 223.5097 0.00356103917 +163434.32 258.4736 208.3146 0.00356987395 +167867.32 236.4621 192.9847 0.00348439378 +172297.31 216.3991 178.8014 0.00297052184 +176818.30 198.0486 165.6325 0.00318825971 +181433.40 180.7188 152.9134 0.0058774144 +186046.33 165.3042 141.5356 0.00381628091 +190752.38 150.8846 130.8274 0.00195550505 +195451.50 137.7781 120.8758 0.00167809416 +200155.43 125.8087 111.6631 0.00167600716 +204949.31 114.251 102.6545 0.00122678441 +209651.48 103.9752 94.5417 0.00137149553 +214349.31 94.8307 87.233 0.0014832397 +218994.32 85.9543 80.0542 0.00142688472 +224864.46 77.9147 73.4747 0.0015036622 +230013.40 71.4728 68.1463 0.00108673824 +235342.48 65.2303 62.9278 0.0017595454 +240221.44 60.6263 59.0482 0.000784856675 diff --git a/calib_data/_calib_data/calib2021-04-26_p1_c5.dat b/calib_data/_calib_data/calib2021-04-26_p1_c5.dat new file mode 100644 index 0000000..aa0ff83 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p1_c5.dat @@ -0,0 +1,56 @@ +77851.48 14489.46 23627.34 0.697739206 +79828.32 11968.57 19116.66 2.11358463 +81795.41 10076 15806.15 0.500249938 +83758.32 8558.21 13205.95 0.912715728 +85720.43 7340.3 11160.65 0.386328875 +87682.48 6325.31 9486.21 0.251177228 +89645.43 5484.49 8120.28 0.309127805 +91522.43 4804.569 7036.34 0.116790411 +93484.31 4222.86 6118.24 0.15504838 +95452.41 3738.514 5364.03 0.195473783 +97417.33 3327.258 4729.604 0.109983635 +99383.48 2975.956 4194.983 0.113481717 +101352.46 2670.984 3736.25 0.163859696 +103313.39 2403.851 3338.47 0.0888369293 +105276.33 2177.05 3003.772 0.109743337 +107239.30 1975.139 2708.469 0.0964411738 +109200.43 1797.738 2451.149 0.0767652265 +111162.47 1640.432 2224.893 0.0498808581 +113128.31 1495.601 2019.103 0.0477713303 +115090.43 1371.946 1843.432 0.0460825347 +117074.32 1259.869 1685.419 0.0492635768 +119059.32 1159.057 1543.274 0.0521766231 +121043.45 1068.323 1416.849 0.049948974 +123024.31 981.469 1296.451 0.0367545915 +125019.32 904.365 1190.149 0.0431149626 +127012.37 835.59 1095.756 0.0370189141 +129006.32 767.608 1002.918 0.031394267 +131036.31 707.915 921.644 0.02079423 +133082.47 652.612 846.785 0.0258553669 +135169.32 601.775 778.247 0.0253001976 +137253.37 553.685 713.671 0.0245132617 +139397.32 508.782 653.644 0.0176181724 +141608.31 468.2037 599.939 0.019872091 +143877.32 430.01 549.262 0.0288721319 +146236.31 395.2199 502.9803 0.0140050348 +148772.46 362.901 460.4243 0.0087818563 +151758.33 333.1163 421.3084 0.0103905727 +155284.32 305.4248 385.0983 0.00592967115 +159218.32 280.5522 352.6806 0.0059568448 +163511.44 258.3908 323.9044 0.00586208154 +167944.35 236.3917 295.4456 0.00440499716 +172374.31 216.3318 269.6031 0.00374819957 +176895.44 197.9913 246.055 0.00290172363 +181510.44 180.6566 223.8637 0.00420011905 +186123.37 165.2476 204.2347 0.00261170442 +190829.33 150.8336 186.1003 0.00959692659 +195528.32 137.7297 169.5261 0.00938557404 +200232.38 125.7671 154.3441 0.00253554728 +205026.31 114.2153 139.8471 0.00275844159 +209728.31 103.9408 127.0011 0.00219749858 +214426.32 94.8027 115.6101 0.00267749883 +219071.46 85.9269 104.5873 0.000860813569 +224941.44 77.9127 94.6572 0.00280642121 +230090.44 71.4646 86.6893 0.00134944433 +235419.31 65.2252 78.9932 0.00166012048 +240298.33 60.6216 73.3226 0.00183412104 diff --git a/calib_data/_calib_data/calib2021-04-26_p1_c6.dat b/calib_data/_calib_data/calib2021-04-26_p1_c6.dat new file mode 100644 index 0000000..88dbb69 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p1_c6.dat @@ -0,0 +1,55 @@ +79905.43 11967.81 384.4315 0.00845133126 +81872.44 10076.32 363.911 0.00582065288 +83835.42 8557.46 345.0513 0.0115767439 +85797.32 7340.08 327.8918 0.0110650802 +87759.32 6325.46 311.7687 0.00786517641 +89722.44 5485.07 296.7667 0.00927259403 +91599.31 4804.66 283.3137 0.00194447936 +93561.45 4222.976 270.4912 0.00141279864 +95529.30 3738.509 258.7129 0.00274025546 +97494.33 3327.296 247.7535 0.00198620241 +99460.44 2975.74 237.5215 0.00230759615 +101429.33 2670.755 227.8727 0.00235393288 +103390.44 2403.704 218.7064 0.0032193167 +105353.37 2176.925 210.3067 0.00251017928 +107316.31 1974.986 202.2632 0.00544022058 +109277.32 1797.632 194.6866 0.00513458859 +111239.33 1640.31 187.505 0.00591945943 +113205.43 1495.585 180.5029 0.004572636 +115167.31 1371.911 174.0766 0.00491365444 +117151.48 1259.836 167.8944 0.00422894786 +119136.33 1159.049 161.9996 0.00374486315 +121120.45 1068.414 156.2858 0.0053269128 +123101.42 981.567 150.5933 0.00476455664 +125096.32 904.459 145.2438 0.00501557574 +127089.30 835.671 140.1982 0.00529490321 +129083.46 767.694 134.9225 0.00529764098 +131113.38 707.899 130.0074 0.00433405122 +133159.31 652.594 125.1982 0.00440408901 +135246.31 601.763 120.5201 0.00440783394 +137330.45 553.667 115.8366 0.00470574117 +139474.31 508.778 111.2086 0.00428532379 +141685.45 468.1982 106.8138 0.0011027239 +143954.31 430.0063 102.4089 0.0012525973 +146313.47 395.2157 98.1741 0.000573585216 +148849.32 362.9066 94.0268 0.000660302961 +151835.43 333.1091 89.9956 0.000586515132 +155361.46 305.4222 86.0503 0.00134201341 +159295.43 280.484 82.3135 0.000724568837 +163588.32 258.3149 78.8248 0.000732120209 +168021.45 236.3269 75.1914 0.000451663592 +172451.45 216.2744 71.703 0.000905538514 +176972.48 197.9376 68.3466 0.00110634533 +181587.31 180.5781 65.0045 0.00071063352 +186200.43 165.1739 61.8801 0.00137440896 +190906.31 150.7805 58.8396 0.0022054478 +195605.43 137.6778 55.9019 0.00186788651 +200309.32 125.7218 53.0857 0.00215429803 +205103.40 114.181 50.20073 0.00247050804 +209805.43 103.914 47.53038 0.00116600172 +214503.37 94.7793 45.04017 0.00122123298 +219148.33 85.906 42.50442 0.00121867141 +225018.33 77.9164 40.11153 0.00148270361 +230167.32 71.4602 38.09333 0.00110009545 +235496.33 65.224 36.06385 0.00119274893 +240375.46 60.6207 34.51035 0.00110952693 diff --git a/calib_data/_calib_data/calib2021-04-26_p2_c1.dat b/calib_data/_calib_data/calib2021-04-26_p2_c1.dat new file mode 100644 index 0000000..2658a07 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p2_c1.dat @@ -0,0 +1,59 @@ +72144.32 26792.74 9219.28 0.318370853 +74107.33 21465.49 7772.54 0.147105404 +76069.32 17491.46 6638.21 0.222013513 +78030.44 14496.28 5744.26 0.127436259 +80007.32 11970.73 4951.26 0.170305608 +81974.32 10075.95 4332.152 0.24832962 +83937.32 8557.78 3815.417 0.127577819 +85899.32 7340.33 3385.315 0.105387381 +87861.42 6325.4 3013.923 0.0454763675 +89824.32 5484.55 2695.044 0.141507597 +91701.46 4804.961 2429.875 0.0383731677 +93663.38 4222.749 2194.885 0.0322877686 +95631.42 3738.327 1993.395 0.0351069794 +97596.31 3327.145 1817.469 0.0198217053 +99562.37 2975.606 1663.076 0.0256203044 +101531.49 2671.003 1525.191 0.0621039451 +103492.43 2403.879 1402.013 0.0554445669 +105455.43 2177.015 1295.003 0.0482089203 +107418.33 1975.09 1197.64 0.0497192116 +109379.32 1797.7 1110.291 0.0484654516 +111341.45 1640.453 1031.276 0.0405758549 +113307.33 1495.711 957.49 0.00565685425 +115269.30 1371.974 892.822 0.00903327183 +117253.41 1259.934 833.215 0.00636396103 +119238.30 1159.032 778.534 0.0066633325 +121222.48 1068.328 728.529 0.00684835747 +123203.48 981.427 679.785 0.00552268051 +125198.31 904.357 635.739 0.00411096096 +127191.43 835.571 595.743 0.00375499667 +129185.43 767.611 555.517 0.00633245608 +131215.47 707.796 519.475 0.00514781507 +133262.45 652.595 485.3876 0.0219755318 +135348.31 601.768 453.6535 0.0174363127 +137432.45 553.674 423.0773 0.0186638956 +139576.33 508.778 394.0235 0.0161104004 +141787.30 468.2274 367.4551 0.00495065652 +144056.32 430.0045 341.8306 0.0026046113 +146415.42 395.2111 318.0939 0.00320764711 +148951.47 362.9065 295.6895 0.00443452365 +151937.33 333.0937 274.6786 0.00278639552 +155463.40 305.4088 254.8515 0.0028991378 +159397.30 280.3918 236.6571 0.00287906235 +163690.44 258.1995 220.2777 0.00338836244 +168123.44 236.2302 203.8176 0.00336808551 +172553.38 216.1871 188.6068 0.0248740025 +177074.32 197.8503 174.4391 0.00249979999 +181689.32 180.4941 160.8614 0.00282913414 +186302.48 165.1291 148.5688 0.00489244315 +191008.32 150.7329 137.0907 0.00164347193 +195707.33 137.6342 126.4248 0.0016235763 +200411.45 125.6718 116.5639 0.00166403125 +205205.44 114.1601 106.9394 0.00428298961 +209907.32 103.8689 98.2659 0.00129961533 +214605.41 94.7403 90.4707 0.000825227241 +219250.44 85.8716 82.81 0.00144222051 +225120.45 77.9122 75.8617 0.000748999332 +230269.31 71.445 70.1559 0.00111758669 +235598.32 65.2153 64.6053 0.00103004854 +240477.32 60.61 60.465 0.000547722558 diff --git a/calib_data/_calib_data/calib2021-04-26_p2_c2.dat b/calib_data/_calib_data/calib2021-04-26_p2_c2.dat new file mode 100644 index 0000000..5b81af5 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p2_c2.dat @@ -0,0 +1,58 @@ +74184.33 21465.81 27547.63 8.59573208 +76146.31 17490.91 22233.25 1.06115503 +78107.32 14495.7 18271.97 1.22646239 +80084.44 11970.36 14951.1 0.49979996 +82051.47 10076.77 12493.36 0.77048037 +84014.32 8557.66 10540.62 0.385175285 +85976.31 7339.83 8987.6 0.433358974 +87938.34 6325.46 7703.53 0.514013618 +89901.47 5484.35 6647.27 0.290189593 +91778.30 4804.612 5800.84 0.604516336 +93740.44 4222.712 5079.3 0.275317998 +95708.32 3738.677 4479.653 0.126079737 +97673.37 3327.131 3974.268 0.13497259 +99639.32 2975.61 3544.475 0.0645794085 +101608.34 2671.053 3173.37 0.0775757694 +103569.32 2403.864 2849.583 0.039876058 +105532.47 2177.009 2575.5 0.0511468474 +107495.47 1975.111 2332.428 0.057267792 +109456.34 1797.684 2119.538 0.0239916652 +111418.32 1640.541 1931.26 0.1161895 +113384.31 1495.62 1759.446 0.0488917171 +115346.32 1371.893 1612.08 0.0518652099 +117330.41 1259.939 1478.236 0.0426192445 +119315.42 1159.047 1358.571 0.0325714599 +121299.34 1068.325 1251.2 0.0207364414 +123280.43 981.444 1148.495 0.0305695927 +125275.44 904.36 1057.514 0.0257371327 +127268.32 835.57 976.41 0.0196977156 +129262.47 767.589 896.364 0.0258920837 +131292.43 707.806 826.012 0.0289067466 +133339.32 652.588 761.038 0.0223964283 +135425.45 601.77 701.356 0.00961249187 +137509.33 553.672 644.893 0.0234115356 +139653.37 508.769 592.253 0.0166162571 +141864.35 468.1918 545.021 0.0210451895 +144133.40 430.0019 500.0421 0.0150229491 +146492.38 395.2097 459.3146 0.0122622999 +149028.30 362.9062 421.5199 0.0112511777 +152014.31 333.0911 386.6771 0.0100284096 +155540.44 305.4063 354.3382 0.00689173418 +159474.32 280.3336 325.0754 0.00397542451 +163767.32 258.1254 299.171 0.0062960305 +168200.45 236.1652 273.59 0.00405955663 +172630.43 216.1303 250.2608 0.00305548687 +177151.48 197.793 228.9393 0.00428963868 +181766.31 180.4459 208.7847 0.00312105751 +186379.32 165.0791 190.9266 0.00431555327 +191085.44 150.6788 174.3873 0.00783587902 +195784.33 137.5947 159.153 0.0333967064 +200488.32 125.6358 145.2923 0.00286024474 +205282.36 114.1314 131.9666 0.00211281802 +209984.31 103.839 120.113 0.00128840987 +214682.46 94.7147 109.5854 0.00132815662 +219327.33 85.848 99.358 0.00134907376 +225197.31 77.9137 90.2112 0.00173666347 +230346.31 71.4364 82.7425 0.00169852878 +235675.43 65.2122 75.5614 0.00181218101 +240555.46 60.6047 70.2483 0.0031687537 diff --git a/calib_data/_calib_data/calib2021-04-26_p2_c4.dat b/calib_data/_calib_data/calib2021-04-26_p2_c4.dat new file mode 100644 index 0000000..7e360db --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p2_c4.dat @@ -0,0 +1,57 @@ +76223.45 17493 6131.98 0.154790181 +78184.32 14495.65 5309.07 0.18976301 +80161.44 11969.85 4578.515 0.107165759 +82128.32 10076.74 4007.922 0.188938085 +84091.43 8557.95 3531.353 0.0863139618 +86053.39 7339.96 3134.288 0.139569338 +88015.43 6325.46 2791.448 0.0875419899 +89978.33 5484.19 2497.096 0.0885121461 +91855.44 4804.451 2252.125 0.0289223097 +93817.32 4222.71 2034.992 0.0296917497 +95785.45 3738.713 1848.973 0.0780134604 +97750.43 3327.104 1686.291 0.0340132327 +99716.32 2975.893 1542.955 0.0611105556 +101685.44 2670.984 1416.114 0.0430627449 +103646.32 2403.826 1302.22 0.0463033476 +105609.32 2176.986 1203.274 0.041861677 +107572.47 1975.123 1113.24 0.0489897949 +109533.46 1797.668 1032.492 0.0206300751 +111495.43 1640.559 959.386 0.0260844781 +113461.46 1495.597 891.104 0.0142267354 +115423.45 1371.883 831.279 0.00457165178 +117407.31 1259.941 776.139 0.00684835747 +119392.48 1159.035 725.542 0.00957078889 +121376.32 1068.324 679.252 0.00505964426 +123357.32 981.445 634.122 0.00419523539 +125352.44 904.357 593.35 0.00583095189 +127345.44 835.555 556.314 0.00493963561 +129339.32 767.579 519.06 0.00489897949 +131369.32 707.896 485.5134 0.0231552154 +133416.32 652.585 454.0939 0.018385565 +135502.45 601.755 424.6985 0.00846079193 +137586.30 553.664 396.3427 0.017453968 +139730.42 508.755 369.4021 0.0155592095 +141941.44 468.1836 344.7636 0.00304368198 +144210.44 429.9984 320.9972 0.00270111088 +146569.33 395.209 298.9751 0.00229543024 +149105.43 362.9017 278.1791 0.00338954274 +152091.48 333.0879 258.6722 0.00181548891 +155617.33 305.3998 240.2563 0.00131946959 +159551.43 280.274 223.2757 0.00200024998 +163844.32 258.054 208.0227 0.0031497619 +168277.32 236.1023 192.7364 0.00181218101 +172707.31 216.0743 178.5655 0.00223271136 +177228.31 197.7414 165.4079 0.00261705942 +181843.39 180.4256 152.6973 0.00497805183 +186456.31 165.0256 141.3303 0.004847783 +191162.41 150.6356 130.6402 0.00191206694 +195861.48 137.5551 120.6992 0.00167809416 +200565.42 125.6 111.5014 0.0016074825 +205359.33 114.0741 102.5163 0.00117515956 +210061.42 103.8108 94.41 0.00115758369 +214759.33 94.6911 87.1205 0.00140890028 +219404.32 85.8277 79.9512 0.000857904424 +225274.35 77.9172 73.4765 0.00139463257 +230423.39 71.4287 68.1089 0.00205645326 +235752.38 65.2085 62.9105 0.00115974135 +240632.46 60.5998 59.0242 0.00112071406 diff --git a/calib_data/_calib_data/calib2021-04-26_p2_c5.dat b/calib_data/_calib_data/calib2021-04-26_p2_c5.dat new file mode 100644 index 0000000..cc10098 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p2_c5.dat @@ -0,0 +1,56 @@ +78261.44 14495.33 23636.83 1.03644103 +80238.31 11968.67 19121.39 1.00314007 +82205.43 10076.51 15806.87 0.4532218 +84168.30 8558.47 13206.88 0.365732142 +86130.64 7339.7 11160.63 0.23960384 +88092.47 6325.73 9486.1 0.156204994 +90055.44 5484.48 8120.27 0.231538334 +91932.37 4804.551 7036.52 0.18751 +93894.31 4222.714 6118.12 0.134014925 +95862.42 3738.338 5364.09 0.20709901 +97827.32 3327.21 4729.392 0.173843608 +99793.41 2975.91 4194.929 0.126605292 +101762.45 2670.995 3736.286 0.0967801633 +103723.44 2403.871 3338.502 0.0488221261 +105686.33 2177.054 3003.747 0.103663398 +107649.30 1975.149 2708.526 0.0645476568 +109610.45 1797.725 2451.162 0.0866002309 +111572.36 1640.522 2224.917 0.0273879536 +113538.32 1495.611 2019.12 0.0527257053 +115500.45 1371.885 1843.438 0.0444252181 +117484.31 1259.867 1685.407 0.034177478 +119469.30 1159.048 1543.251 0.0567000882 +121453.36 1068.34 1416.857 0.0470117007 +123434.32 981.466 1296.435 0.0548133195 +125429.30 904.355 1190.151 0.0229106962 +127422.43 835.56 1095.736 0.0362546549 +129416.33 767.6 1002.906 0.0312793862 +131446.33 707.89 921.623 0.0272415124 +133493.44 652.591 846.76 0.0315594677 +135579.33 601.752 778.239 0.0188917972 +137663.36 553.666 713.663 0.0204474937 +139807.30 508.757 653.624 0.0173896521 +142018.33 468.1809 599.923 0.0209308385 +144287.32 429.9671 549.186 0.0251475645 +146646.32 395.2114 502.9688 0.0132391843 +149182.46 362.8954 460.3968 0.0117794737 +152168.32 333.0903 421.2749 0.0102337188 +155694.32 305.3931 385.0552 0.00867156272 +159628.31 280.2252 352.2578 0.00896972686 +163921.43 257.9853 323.3795 0.00815260695 +168354.32 236.0517 295.0114 0.00483363217 +172784.33 216.0197 269.1994 0.00283619463 +177305.44 197.6941 245.6714 0.00509745034 +181920.43 180.3795 223.5026 0.00360887794 +186533.41 164.9828 203.8992 0.00394917713 +191239.32 150.5968 185.8007 0.00973144388 +195938.31 137.5072 169.2455 0.00871005166 +200642.39 125.5671 154.092 0.00350428309 +205436.32 114.0499 139.6406 0.00317238081 +210138.30 103.7842 126.805 0.00212602916 +214836.32 94.6696 115.4449 0.00227793766 +219481.42 85.8079 104.4343 0.0033107401 +225351.42 77.9208 94.6675 0.00274681634 +230500.44 71.4227 86.6387 0.000949210198 +235829.31 65.2047 78.9685 0.00236748812 +240709.32 60.5956 73.2933 0.00103004854 diff --git a/calib_data/_calib_data/calib2021-04-26_p2_c6.dat b/calib_data/_calib_data/calib2021-04-26_p2_c6.dat new file mode 100644 index 0000000..533ccb8 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-26_p2_c6.dat @@ -0,0 +1,55 @@ +80315.44 11967.56 384.4588 0.00853322917 +82282.35 10076.94 363.9003 0.0120366524 +84245.46 8557.94 345.0496 0.0104577244 +86207.31 7339.62 327.8916 0.00966250485 +88169.32 6325.6 311.7694 0.0094193418 +90132.46 5484.5 296.7633 0.0102830443 +92009.31 4804.625 283.3119 0.00179694185 +93971.47 4222.717 270.485 0.00154272486 +95939.32 3738.401 258.7112 0.00138419652 +97904.32 3327.28 247.7536 0.00242156974 +99870.43 2975.707 237.5223 0.00195473783 +101839.32 2670.783 227.8709 0.00255127419 +103800.45 2403.707 218.7042 0.00323047984 +105763.42 2176.834 210.3054 0.00230304147 +107726.31 1975.044 202.2638 0.00514548346 +109687.31 1797.645 194.6869 0.00474225685 +111649.31 1640.429 187.5079 0.00351980113 +113615.43 1495.606 180.5057 0.00582073878 +115577.31 1371.869 174.0751 0.00448207541 +117561.43 1259.847 167.8938 0.00352363449 +119546.31 1159.028 161.9985 0.00520432512 +121530.44 1068.427 156.2862 0.00473032768 +123511.43 981.553 150.5932 0.0057806574 +125506.32 904.444 145.2435 0.00517542269 +127499.33 835.644 140.197 0.00522494019 +129493.37 767.67 134.9211 0.00509597881 +131523.45 707.88 130.006 0.00514392846 +133570.44 652.586 125.1967 0.00483332184 +135656.32 601.743 120.5182 0.00478915441 +137740.43 553.642 115.8358 0.00477242077 +139884.30 508.758 111.2072 0.00500759423 +142095.44 468.1753 106.8124 0.00103150376 +144364.32 429.9652 102.406 0.00119163753 +146723.39 395.2098 98.1726 0.00114192819 +149259.33 362.8866 94.0249 0.000498998998 +152245.44 333.0954 89.993 0.00122474487 +155771.48 305.3915 86.047 0.0012 +159705.44 280.1849 82.2669 0.000910494371 +163998.32 257.9223 78.7633 0.000748999332 +168431.50 236.0068 75.1423 0.00504390722 +172863.38 215.9708 71.6485 0.000908295106 +177382.38 197.6436 68.2946 0.000428952212 +181997.31 180.3089 64.9501 0.00116146459 +186610.43 164.9189 61.828 0.00104880885 +191316.32 150.5519 58.7904 0.00245438383 +196015.44 137.4646 55.8531 0.00184634775 +200719.33 125.5297 53.0403 0.00273148311 +205513.38 114.0319 50.16171 0.00138466241 +210215.46 103.764 47.49044 0.00104605927 +214913.46 94.6529 45.00435 0.00124332216 +219558.34 85.7925 42.47101 0.0013429408 +225428.31 77.9299 40.11572 0.00134661056 +230577.30 71.4216 38.08085 0.00124565244 +235906.32 65.2048 36.05758 0.00132263374 +240786.32 60.5959 34.50219 0.00112164611 diff --git a/calib_data/_calib_data/calib2021-04-29_p0_c1.dat b/calib_data/_calib_data/calib2021-04-29_p0_c1.dat new file mode 100644 index 0000000..5f87afe --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p0_c1.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43255.46 35635.44 11479.04 0.32409875 +45385.43 31297.67 10391.66 1.0387685 +51580.43 26765.2 9207.03 0.266852019 +55154.34 21959.49 7905.99 0.314785641 +57117.32 17880.41 6746 0.263058929 +59079.32 14613.01 5775.75 0.345615393 +61055.42 11938.23 4937.609 0.132570359 +69783.38 79.2125 76.9966 0.0015504838 +74303.46 71.7035 70.382 0.00128840987 +78642.39 65.2872 64.6684 0.00120166551 +82172.48 62.22 61.9142 0.00113841996 +85215.46 60.5225 60.3852 0.00108443534 diff --git a/calib_data/_calib_data/calib2021-04-29_p0_c2.dat b/calib_data/_calib_data/calib2021-04-29_p0_c2.dat new file mode 100644 index 0000000..5b7ced4 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p0_c2.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43332.37 35624.65 46990.38 23.3915104 +45462.40 31294.53 40996.05 3.60034026 +51657.34 26771.74 34767.21 4.3438796 +55231.46 21967.88 28242.04 2.22181007 +57194.32 17878.45 22742.22 9.36845558 +59156.31 14613.29 18427.65 1.46603206 +61132.38 11937.73 14909.63 1.84575459 +69860.43 79.1747 91.6636 0.00181218101 +74380.43 71.6725 83.0161 0.00143143285 +78719.31 65.2622 75.6204 0.00136528385 +82249.33 62.1941 72.0791 0.00097416631 +85292.36 60.5019 70.1258 0.00112071406 diff --git a/calib_data/_calib_data/calib2021-04-29_p0_c4.dat b/calib_data/_calib_data/calib2021-04-29_p0_c4.dat new file mode 100644 index 0000000..76b8eb7 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p0_c4.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43409.31 35624.29 10582.77 1.08747874 +45539.30 31279.89 9574.28 0.320562006 +51734.32 26774.11 8500.12 0.268626134 +55308.31 21971.72 7305.45 0.235902522 +57271.43 17871.27 6235.24 0.403534385 +59233.38 14612.55 5340.96 0.211754575 +61209.30 11937.58 4568.63 0.0993277403 +69937.33 79.1353 74.4768 0.00140570267 +74457.32 71.642 68.2871 0.00104355163 +78796.33 65.2365 62.9332 0.00106583301 +82326.32 62.1667 60.3517 0.00156236999 +85369.31 60.4822 58.9239 0.00122024588 diff --git a/calib_data/_calib_data/calib2021-04-29_p0_c5.dat b/calib_data/_calib_data/calib2021-04-29_p0_c5.dat new file mode 100644 index 0000000..f1b5737 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p0_c5.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43486.32 35629.46 64485.6 18.1885678 +45616.31 31267.73 55680.4 9.77875248 +51811.47 26777.32 46824.12 3.90314745 +55385.45 21975.83 37543.38 3.22969968 +57348.32 17875.2 29827.89 2.58710069 +59310.42 14612.01 23852.06 1.18812457 +61286.32 11937.55 19067.14 0.960541514 +70014.32 79.097 96.1207 0.00163125718 +74534.34 71.6141 86.872 0.0023194827 +78873.39 65.2109 78.9762 0.00125538839 +82403.38 62.1421 75.1966 0.00134313067 +85446.33 60.4638 73.129 0.00152970585 diff --git a/calib_data/_calib_data/calib2021-04-29_p0_c6.dat b/calib_data/_calib_data/calib2021-04-29_p0_c6.dat new file mode 100644 index 0000000..1322d78 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p0_c6.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43563.42 35628.78 531.1765 0.017658001 +45693.37 31265.73 511.9444 0.020819318 +51888.32 26780.52 489.7378 0.0194595992 +55462.46 21986.69 462.3309 0.0231276674 +57425.45 17881.57 434.8212 0.0135726195 +59387.33 14613.53 408.9799 0.00687669979 +61363.46 11938.06 383.989 0.00987117014 +70091.48 79.0654 40.46316 0.000806498605 +74611.46 71.5911 38.13609 0.00118822978 +78950.45 65.1914 36.05431 0.00105607291 +82480.45 62.1239 35.02414 0.000868124415 +85523.43 60.4507 34.45288 0.000912666423 diff --git a/calib_data/_calib_data/calib2021-04-29_p1_c1.dat b/calib_data/_calib_data/calib2021-04-29_p1_c1.dat new file mode 100644 index 0000000..8563b55 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p1_c1.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43665.43 35638.89 11475.46 1.02685929 +45795.45 31274.51 10379.87 0.232400516 +51990.43 26797.09 9217.92 0.199899975 +55564.33 21987.46 7912.76 0.22680388 +57527.32 17885.05 6746.2 0.895321171 +59489.31 14614.4 5775.9 0.119163753 +61465.43 11938.39 4937.559 0.0973185491 +70193.39 79.0168 76.8243 0.00145636534 +74713.48 71.5521 70.2464 0.001001998 +79052.49 65.1589 64.5513 0.000959687449 +82582.47 62.0921 61.7972 0.00102761861 +85625.43 60.4238 60.2947 0.00103004854 diff --git a/calib_data/_calib_data/calib2021-04-29_p1_c2.dat b/calib_data/_calib_data/calib2021-04-29_p1_c2.dat new file mode 100644 index 0000000..6cbfe83 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p1_c2.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43742.37 35636.98 46958.95 38.7498935 +45872.41 31270.09 40948.93 7.55712975 +52067.31 26804.28 34824.47 3.72934445 +55641.47 21995.97 28266.33 9.47822821 +57604.32 17888.38 22759.57 3.22998607 +59566.33 14613.6 18428.56 1.75118246 +61542.37 11937.87 14913.07 1.58335403 +70270.44 78.9836 91.4431 0.00185714835 +74790.45 71.5259 82.847 0.0014832397 +79129.31 65.138 75.4783 0.00103004854 +82659.31 62.0709 71.9378 0.00144775689 +85702.40 60.4077 70.0165 0.00136565003 diff --git a/calib_data/_calib_data/calib2021-04-29_p1_c4.dat b/calib_data/_calib_data/calib2021-04-29_p1_c4.dat new file mode 100644 index 0000000..1224596 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p1_c4.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43819.31 35625.73 10579.1 0.142828569 +45949.33 31264.87 9573.96 0.129769026 +52144.33 26819.9 8511.06 0.324407152 +55718.31 21998.31 7309.77 0.549190313 +57681.47 17882.02 6236.4 0.192353841 +59643.39 14612.57 5341.48 0.17595454 +61619.31 11937.77 4568.554 0.173310127 +70347.30 78.9508 74.3273 0.00118363846 +74867.31 71.5025 68.1716 0.00101192885 +79206.33 65.119 62.8354 0.00158871017 +82736.32 62.0524 60.2524 0.000940212742 +85779.31 60.393 58.8486 0.000971596624 diff --git a/calib_data/_calib_data/calib2021-04-29_p1_c5.dat b/calib_data/_calib_data/calib2021-04-29_p1_c5.dat new file mode 100644 index 0000000..4623f75 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p1_c5.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43896.34 35612.4 64453.2 5.65296382 +46026.31 31259 55711.3 21.4508974 +52221.48 26848.54 46903.73 20.4987514 +55795.44 21993.52 37573.63 4.27190941 +57758.31 17881.26 29833.82 2.0071273 +59720.48 14613.21 23854.64 1.54014285 +61696.31 11937.86 19066.51 0.846811667 +70424.32 78.9198 95.9028 0.00152839785 +74944.34 71.4823 86.7112 0.00123125952 +79283.38 65.1019 78.8428 0.00128685664 +82813.39 62.0355 75.0651 0.000842021377 +85856.33 60.3783 73.0256 0.000777174369 diff --git a/calib_data/_calib_data/calib2021-04-29_p1_c6.dat b/calib_data/_calib_data/calib2021-04-29_p1_c6.dat new file mode 100644 index 0000000..97c1110 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p1_c6.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +43973.38 35597.14 531.0314 0.0180517035 +46103.38 31266.53 511.8478 0.0198563844 +52298.33 26855.34 489.9763 0.0184206677 +55872.47 21999.25 462.43 0.0220717013 +57835.44 17887.59 434.8218 0.0171929055 +59797.32 14615.76 408.986 0.0080137382 +61773.35 11937.43 383.9905 0.00910302148 +70501.47 78.8953 40.41131 0.000994630585 +75021.45 71.4666 38.09625 0.000910741456 +79360.44 65.09 36.02051 0.000960879805 +82890.43 62.0242 34.99008 0.00101141485 +85933.45 60.3694 34.42529 0.00123267595 diff --git a/calib_data/_calib_data/calib2021-04-29_p2_c1.dat b/calib_data/_calib_data/calib2021-04-29_p2_c1.dat new file mode 100644 index 0000000..74ac0dc --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p2_c1.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +44075.44 35612.98 11467.38 0.500159974 +46205.43 31228.29 10373.52 0.645879246 +52400.44 26845.82 9228.4 0.402492236 +55974.32 22002.05 7916.19 0.684755431 +57937.32 17885.1 6748.13 0.254578082 +59899.33 14615.56 5776.21 0.155209536 +61875.46 11938.91 4937.685 0.138486461 +70603.40 78.8533 76.6798 0.00170762994 +75123.39 71.4354 70.1416 0.000885437745 +79462.46 65.0644 64.4673 0.00122515305 +82992.46 61.9986 61.7145 0.000992471662 +86035.44 60.3502 60.2281 0.000830060239 diff --git a/calib_data/_calib_data/calib2021-04-29_p2_c2.dat b/calib_data/_calib_data/calib2021-04-29_p2_c2.dat new file mode 100644 index 0000000..62c1576 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p2_c2.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +44152.38 35591.99 46945.11 2.82093779 +46282.37 31247.74 40920.14 7.05742446 +52477.31 26860.5 34920.3 18.501908 +56051.45 22002.38 28291.05 2.38127067 +58014.30 17883.25 22757.8 3.36193397 +59976.31 14615.54 18433.48 4.434023 +61952.37 11938.86 14910.82 1.01732984 +70680.44 78.8249 91.262 0.001356466 +75200.43 71.4159 82.7178 0.00166613325 +79539.33 65.0488 75.3761 0.0012365274 +83069.32 61.9834 71.8375 0.00104163333 +86112.40 60.3381 69.9359 0.00092141196 diff --git a/calib_data/_calib_data/calib2021-04-29_p2_c4.dat b/calib_data/_calib_data/calib2021-04-29_p2_c4.dat new file mode 100644 index 0000000..b174fb6 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p2_c4.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +44229.32 35579.69 10570.03 0.341189097 +46359.31 31243.88 9567.86 0.115065199 +52554.34 26878.88 8526.18 0.564233994 +56128.32 22003.46 7312.82 0.212037732 +58091.46 17883.93 6237.02 0.11296017 +60053.37 14617.38 5342.18 0.417085123 +62029.32 11939.03 4568.682 0.115306548 +70757.33 78.7986 74.2009 0.000994484791 +75277.32 71.3971 68.0835 0.000886002257 +79616.32 65.0359 62.7663 0.000693541635 +83157.32 61.9687 60.183 0.0010198039 +86189.34 60.3267 58.7945 0.000324037035 diff --git a/calib_data/_calib_data/calib2021-04-29_p2_c5.dat b/calib_data/_calib_data/calib2021-04-29_p2_c5.dat new file mode 100644 index 0000000..9af80b9 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p2_c5.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +44306.33 35564.12 64329.9 42.2973876 +46436.35 31236.38 55693.7 57.3177198 +52631.47 26895.28 47045.08 4.49986222 +56205.45 22007.27 37598.86 1.8429433 +58168.30 17883.03 29835.94 3.11246526 +60130.44 14617 23855.81 1.96562713 +62106.32 11938.29 19074.16 6.79910582 +70834.31 78.7734 95.7187 0.00175527776 +75354.33 71.3795 86.585 0.00127279221 +79693.46 65.0238 78.7444 0.00171580885 +83234.30 61.9555 74.9667 0.0014216188 +86266.32 60.3165 72.9488 0.00196367003 diff --git a/calib_data/_calib_data/calib2021-04-29_p2_c6.dat b/calib_data/_calib_data/calib2021-04-29_p2_c6.dat new file mode 100644 index 0000000..f32ee9f --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-29_p2_c6.dat @@ -0,0 +1,14 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma +44383.41 35564.44 530.8807 0.0214518298 +46513.41 31232.91 511.7025 0.0209242682 +52708.32 26913.46 490.3765 0.020817901 +56282.36 22005.14 462.4907 0.0191718805 +58245.42 17884.79 434.8311 0.0153853502 +60207.31 14615.57 408.9926 0.00672190449 +62183.47 11937.76 383.9914 0.0095793528 +70911.37 78.7532 40.36739 0.000909774697 +75431.46 71.368 38.06504 0.0013435922 +79771.45 65.0151 35.9957 0.00111606451 +83311.45 61.9487 34.96457 0.00123927802 +86343.35 60.311 34.4053 0.00117029911 diff --git a/calib_data/_calib_data/calib2021-04-30_p0_c1.dat b/calib_data/_calib_data/calib2021-04-30_p0_c1.dat new file mode 100644 index 0000000..9bf7836 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p0_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.5225 60.3852 0.006 +1 62.22 61.9142 0.0062 +2 65.2872 64.6684 0.0065 +3 71.7035 70.382 0.007 +4 79.2125 76.9966 0.0077 +5 86.1956 83.0949 0.0083 +6 95.0914 90.7738 0.0091 +7 104.2799 98.6185 0.0099 +8 114.584 107.3151 0.011 +9 126.1879 116.9945 0.012 +10 138.1991 126.8927 0.013 +11 151.344 137.5899 0.014 +12 165.8101 149.1184 0.015 +13 181.2352 161.4404 0.016 +14 198.6264 175.0427 0.018 +15 217.0174 189.22 0.019 +16 237.1329 204.5027 0.02 +17 259.2435 221.0578 0.022 +18 281.358 237.3704 0.024 +19 305.5903 254.9868 0.025 +20 333.5001 274.9707 0.027 +21 363.0315 295.7835 0.03 +22 395.2533 318.128 0.032 +23 430.051 341.8673 0.034 +24 468.2553 367.4895 0.037 +25 508.822 394.0538 0.039 +26 553.714 423.1091 0.042 +27 601.805 453.6764 0.045 +28 652.642 485.4152 0.049 +29 707.809 519.505 0.052 +30 767.594 555.533 0.056 +31 835.575 595.751 0.06 +32 904.362 635.743 0.064 +33 981.421 679.792 0.068 +34 1068.3 728.537 0.073 +35 1159.047 778.544 0.078 +36 1259.91 833.219 0.083 +37 1371.974 892.853 0.089 +38 1495.661 957.501 0.096 +39 1640.585 1031.305 0.1 +40 1797.769 1110.322 0.11 +41 1975.154 1197.68 0.12 +42 2177.053 1295.022 0.13 +43 2403.893 1402.056 0.14 +44 2670.978 1525.225 0.15 +45 2975.547 1663.079 0.17 +46 3327.015 1817.438 0.18 +47 3738.594 1993.402 0.2 +48 4222.767 2194.838 0.22 +49 4804.658 2429.877 0.24 +50 5484.37 2695.106 0.27 +51 6325.24 3013.781 0.3 +52 7339.51 3385.254 0.34 +53 8557.53 3815.539 0.38 +54 10076.25 4331.953 0.43 +55 11938.23 4937.609 0.49 +56 14613.01 5775.75 0.58 +57 17880.41 6746 0.67 +58 21959.49 7905.99 0.79 +59 26765.2 9207.03 0.92 +60 31297.67 10391.66 1 +61 35635.44 11479.04 1.1 diff --git a/calib_data/_calib_data/calib2021-04-30_p0_c2.dat b/calib_data/_calib_data/calib2021-04-30_p0_c2.dat new file mode 100644 index 0000000..b093da1 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p0_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.5019 70.1258 0.007 +1 62.1941 72.0791 0.0072 +2 65.2622 75.6204 0.0076 +3 71.6725 83.0161 0.0083 +4 79.1747 91.6636 0.0092 +5 86.1591 99.7177 0.01 +6 95.0517 109.9722 0.011 +7 104.234 120.5694 0.012 +8 114.5329 132.4618 0.013 +9 126.131 145.8657 0.015 +10 138.132 159.8534 0.016 +11 151.2706 175.0734 0.018 +12 165.7288 191.6873 0.019 +13 181.1501 209.5947 0.021 +14 198.5395 229.8048 0.023 +15 216.9205 251.1848 0.025 +16 237.0301 274.5935 0.027 +17 259.1309 300.3475 0.03 +18 281.2437 326.14 0.033 +19 305.5366 354.4872 0.035 +20 333.4194 387.0542 0.039 +21 363.0018 421.6333 0.042 +22 395.2505 459.3623 0.046 +23 430.0626 500.1077 0.05 +24 468.2432 545.085 0.055 +25 508.812 592.301 0.059 +26 553.706 644.94 0.064 +27 601.793 701.391 0.07 +28 652.627 761.089 0.076 +29 707.817 826.053 0.083 +30 767.612 896.414 0.09 +31 835.59 976.436 0.098 +32 904.385 1057.532 0.11 +33 981.485 1148.543 0.11 +34 1068.351 1251.224 0.13 +35 1159.066 1358.6 0.14 +36 1259.97 1478.278 0.15 +37 1371.947 1612.153 0.16 +38 1495.637 1759.513 0.18 +39 1640.56 1931.355 0.19 +40 1797.779 2119.659 0.21 +41 1975.197 2332.415 0.23 +42 2177.066 2575.552 0.26 +43 2403.929 2849.606 0.28 +44 2671.019 3173.422 0.32 +45 2975.664 3544.455 0.35 +46 3327.142 3974.179 0.4 +47 3738.702 4479.602 0.45 +48 4222.637 5079.54 0.51 +49 4804.546 5801.65 0.58 +50 5484.44 6647.16 0.66 +51 6325.37 7704.33 0.77 +52 7339.83 8987.94 0.9 +53 8557.47 10540.91 1.1 +54 10076.56 12494.13 1.2 +55 11937.73 14909.63 1.5 +56 14613.29 18427.65 1.8 +57 17878.45 22742.22 2.3 +58 21967.88 28242.04 2.8 +59 26771.74 34767.21 3.5 +60 31294.53 40996.05 4.1 +61 35624.65 46990.38 4.7 diff --git a/calib_data/_calib_data/calib2021-04-30_p0_c4.dat b/calib_data/_calib_data/calib2021-04-30_p0_c4.dat new file mode 100644 index 0000000..8326927 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p0_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.4822 58.9239 0.0059 +1 62.1667 60.3517 0.006 +2 65.2365 62.9332 0.0063 +3 71.642 68.2871 0.0068 +4 79.1353 74.4768 0.0074 +5 86.1221 80.1915 0.008 +6 95.0117 87.3801 0.0087 +7 104.1883 94.7115 0.0095 +8 114.4819 102.8347 0.01 +9 126.0734 111.8662 0.011 +10 138.069 121.0977 0.012 +11 151.2013 131.0659 0.013 +12 165.6556 141.7952 0.014 +13 181.0948 153.1873 0.015 +14 198.4483 165.9213 0.017 +15 216.8252 179.1033 0.018 +16 236.9298 193.3115 0.019 +17 259.0151 208.6903 0.021 +18 281.1256 223.8529 0.022 +19 305.4983 240.3164 0.024 +20 333.3375 258.8346 0.026 +21 362.966 278.221 0.028 +22 395.2384 298.9972 0.03 +23 430.0521 321.0294 0.032 +24 468.2372 344.7955 0.034 +25 508.806 369.4258 0.037 +26 553.685 396.3601 0.04 +27 601.796 424.6964 0.042 +28 652.619 454.1121 0.045 +29 707.904 485.5311 0.049 +30 767.618 519.075 0.052 +31 835.585 556.329 0.056 +32 904.36 593.352 0.059 +33 981.498 634.15 0.063 +34 1068.337 679.272 0.068 +35 1159.066 725.555 0.073 +36 1259.962 776.164 0.078 +37 1371.93 831.304 0.083 +38 1495.635 891.117 0.089 +39 1640.486 959.377 0.096 +40 1797.768 1032.468 0.1 +41 1975.166 1113.254 0.11 +42 2177.076 1203.306 0.12 +43 2403.88 1302.24 0.13 +44 2671.022 1416.13 0.14 +45 2975.918 1542.971 0.15 +46 3327.152 1686.278 0.17 +47 3738.683 1848.938 0.18 +48 4222.659 2035.04 0.2 +49 4804.521 2252.119 0.23 +50 5484.38 2497.082 0.25 +51 6325.22 2791.415 0.28 +52 7340.38 3134.292 0.31 +53 8557.57 3531.281 0.35 +54 10076.61 4007.849 0.4 +55 11937.58 4568.63 0.46 +56 14612.55 5340.96 0.53 +57 17871.27 6235.24 0.62 +58 21971.72 7305.45 0.73 +59 26774.11 8500.12 0.85 +60 31279.89 9574.28 0.96 +61 35624.29 10582.77 1.1 diff --git a/calib_data/_calib_data/calib2021-04-30_p0_c5.dat b/calib_data/_calib_data/calib2021-04-30_p0_c5.dat new file mode 100644 index 0000000..8dcb6b3 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p0_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.4638 73.129 0.0073 +1 62.1421 75.1966 0.0075 +2 65.2109 78.9762 0.0079 +3 71.6141 86.872 0.0087 +4 79.097 96.1207 0.0096 +5 86.0872 104.7836 0.01 +6 94.9749 115.8258 0.012 +7 104.1452 127.2552 0.013 +8 114.4316 140.121 0.014 +9 126.0195 154.6604 0.015 +10 138.0092 169.8739 0.017 +11 151.1358 186.4823 0.019 +12 165.583 204.6604 0.02 +13 181.0167 224.3194 0.022 +14 198.3656 246.5379 0.025 +15 216.7394 270.1249 0.027 +16 236.8357 296.0158 0.03 +17 258.9075 324.5751 0.032 +18 281.0241 353.2942 0.035 +19 305.4777 385.1566 0.039 +20 333.2768 421.5179 0.042 +21 362.9429 460.4558 0.046 +22 395.2355 502.9965 0.05 +23 430.0173 549.236 0.055 +24 468.2326 599.973 0.06 +25 508.807 653.666 0.065 +26 553.688 713.705 0.071 +27 601.795 778.27 0.078 +28 652.625 846.813 0.085 +29 707.906 921.66 0.092 +30 767.626 1002.94 0.1 +31 835.597 1095.761 0.11 +32 904.37 1190.12 0.12 +33 981.481 1296.461 0.13 +34 1068.348 1416.875 0.14 +35 1159.069 1543.333 0.15 +36 1259.86 1685.415 0.17 +37 1371.929 1843.503 0.18 +38 1495.635 2019.103 0.2 +39 1640.539 2224.92 0.22 +40 1797.742 2451.207 0.25 +41 1975.161 2708.528 0.27 +42 2177.106 3003.853 0.3 +43 2403.923 3338.424 0.33 +44 2671.038 3736.28 0.37 +45 2975.949 4195.004 0.42 +46 3327.159 4729.411 0.47 +47 3738.392 5363.94 0.54 +48 4222.769 6118.26 0.61 +49 4804.536 7036.44 0.7 +50 5484.49 8120.31 0.81 +51 6325.55 9485.34 0.95 +52 7340.48 11160.64 1.1 +53 8557.79 13205.59 1.3 +54 10077.08 15805.46 1.6 +55 11937.55 19067.14 1.9 +56 14612.01 23852.06 2.4 +57 17875.2 29827.89 3 +58 21975.83 37543.38 3.8 +59 26777.32 46824.12 4.7 +60 31267.73 55680.4 5.6 +61 35629.46 64485.6 6.4 diff --git a/calib_data/_calib_data/calib2021-04-30_p0_c6.dat b/calib_data/_calib_data/calib2021-04-30_p0_c6.dat new file mode 100644 index 0000000..678711f --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p0_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.4507 34.45288 0.0034 +1 62.1239 35.02414 0.0035 +2 65.1914 36.05431 0.0036 +3 71.5911 38.13609 0.0038 +4 79.0654 40.46316 0.004 +5 86.0584 42.54894 0.0043 +6 94.9445 45.08546 0.0045 +7 104.1077 47.58198 0.0048 +8 114.3895 50.25328 0.005 +9 125.9631 53.143 0.0053 +10 137.9454 55.964 0.0056 +11 151.0688 58.9037 0.0059 +12 165.4948 61.9476 0.0062 +13 180.92 65.0715 0.0065 +14 198.2949 68.4248 0.0068 +15 216.6624 71.7716 0.0072 +16 236.7514 75.2624 0.0075 +17 258.8062 78.9042 0.0079 +18 280.9259 82.3817 0.0082 +19 305.4671 86.0583 0.0086 +20 333.2316 90.0118 0.009 +21 362.9259 94.0275 0.0094 +22 395.2313 98.1763 0.0098 +23 430.013 102.411 0.01 +24 468.2232 106.8179 0.011 +25 508.79 111.2146 0.011 +26 553.669 115.8396 0.012 +27 601.765 120.5208 0.012 +28 652.606 125.1994 0.013 +29 707.892 130.0079 0.013 +30 767.684 134.9227 0.013 +31 835.683 140.2005 0.014 +32 904.47 145.2439 0.015 +33 981.548 150.5928 0.015 +34 1068.431 156.2868 0.016 +35 1159.042 162.0009 0.016 +36 1259.835 167.8938 0.017 +37 1371.904 174.0783 0.017 +38 1495.611 180.5076 0.018 +39 1640.468 187.5099 0.019 +40 1797.618 194.6907 0.019 +41 1975.024 202.2658 0.02 +42 2176.916 210.307 0.021 +43 2403.655 218.7073 0.022 +44 2670.822 227.8746 0.023 +45 2975.598 237.5226 0.024 +46 3327.354 247.7535 0.025 +47 3738.402 258.7149 0.026 +48 4222.861 270.4892 0.027 +49 4804.608 283.3111 0.028 +50 5484.77 296.7669 0.03 +51 6325.66 311.7646 0.031 +52 7339.89 327.8911 0.033 +53 8557.53 345.0527 0.035 +54 10076.37 363.8948 0.036 +55 11938.06 383.989 0.038 +56 14613.53 408.9799 0.041 +57 17881.57 434.8212 0.043 +58 21986.69 462.3309 0.046 +59 26780.52 489.7378 0.049 +60 31265.73 511.9444 0.051 +61 35628.78 531.1765 0.053 diff --git a/calib_data/_calib_data/calib2021-04-30_p1_c1.dat b/calib_data/_calib_data/calib2021-04-30_p1_c1.dat new file mode 100644 index 0000000..008969f --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p1_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.4238 60.2947 0.006 +1 62.0921 61.7972 0.0062 +2 65.1589 64.5513 0.0065 +3 71.5521 70.2464 0.007 +4 79.0168 76.8243 0.0077 +5 86.0098 82.9346 0.0083 +6 94.8947 90.6026 0.0091 +7 104.0519 98.4214 0.0098 +8 114.3308 107.099 0.011 +9 125.8995 116.7769 0.012 +10 137.8866 126.6328 0.013 +11 151.005 137.3102 0.014 +12 165.4237 148.809 0.015 +13 180.8208 161.1176 0.016 +14 198.1922 174.7028 0.017 +15 216.5528 188.8584 0.019 +16 236.6197 204.115 0.02 +17 258.6649 220.6212 0.022 +18 280.7956 236.9527 0.024 +19 305.44 254.8806 0.025 +20 333.1755 274.7372 0.027 +21 362.8966 295.6889 0.03 +22 395.2253 318.1046 0.032 +23 430.0371 341.8467 0.034 +24 468.2433 367.4713 0.037 +25 508.804 394.0341 0.039 +26 553.679 423.0888 0.042 +27 601.771 453.6658 0.045 +28 652.624 485.4037 0.049 +29 707.807 519.49 0.052 +30 767.577 555.52 0.056 +31 835.545 595.753 0.06 +32 904.374 635.738 0.064 +33 981.465 679.793 0.068 +34 1068.363 728.538 0.073 +35 1159.039 778.539 0.078 +36 1259.924 833.205 0.083 +37 1371.984 892.829 0.089 +38 1495.64 957.486 0.096 +39 1640.525 1031.285 0.1 +40 1797.593 1110.295 0.11 +41 1975.1 1197.658 0.12 +42 2177.039 1294.994 0.13 +43 2403.874 1402.013 0.14 +44 2670.962 1525.226 0.15 +45 2975.33 1663.08 0.17 +46 3327.094 1817.425 0.18 +47 3738.539 1993.388 0.2 +48 4223.004 2194.965 0.22 +49 4804.863 2429.87 0.24 +50 5484.09 2695.109 0.27 +51 6325.65 3013.799 0.3 +52 7339.93 3385.315 0.34 +53 8556.96 3815.413 0.38 +54 10076.43 4332.066 0.43 +55 11938.39 4937.559 0.49 +56 14614.4 5775.9 0.58 +57 17885.05 6746.2 0.67 +58 21987.46 7912.76 0.79 +59 26797.09 9217.92 0.92 +60 31274.51 10379.87 1 +61 35638.89 11475.46 1.1 diff --git a/calib_data/_calib_data/calib2021-04-30_p1_c2.dat b/calib_data/_calib_data/calib2021-04-30_p1_c2.dat new file mode 100644 index 0000000..e5b6c5e --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p1_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.4077 70.0165 0.007 +1 62.0709 71.9378 0.0072 +2 65.138 75.4783 0.0075 +3 71.5259 82.847 0.0083 +4 78.9836 91.4431 0.0091 +5 85.9834 99.5138 0.01 +6 94.8613 109.7523 0.011 +7 104.013 120.3137 0.012 +8 114.2894 132.1785 0.013 +9 125.8534 145.5443 0.015 +10 137.8286 159.5017 0.016 +11 150.9394 174.6906 0.017 +12 165.365 191.2629 0.019 +13 180.7557 209.147 0.021 +14 198.1174 229.3165 0.023 +15 216.4776 250.666 0.025 +16 236.5375 274.0243 0.027 +17 258.5669 299.6943 0.03 +18 280.7071 325.5085 0.033 +19 305.4425 354.3789 0.035 +20 333.1477 386.7417 0.039 +21 362.8994 421.5191 0.042 +22 395.2286 459.3243 0.046 +23 430.0387 500.0705 0.05 +24 468.2107 545.033 0.055 +25 508.793 592.277 0.059 +26 553.677 644.92 0.064 +27 601.763 701.367 0.07 +28 652.608 761.07 0.076 +29 707.799 826.021 0.083 +30 767.616 896.381 0.09 +31 835.583 976.426 0.098 +32 904.377 1057.509 0.11 +33 981.455 1148.519 0.11 +34 1068.352 1251.183 0.13 +35 1159.073 1358.592 0.14 +36 1259.952 1478.247 0.15 +37 1371.899 1612.128 0.16 +38 1495.629 1759.542 0.18 +39 1640.501 1931.349 0.19 +40 1797.777 2119.551 0.21 +41 1975.065 2332.46 0.23 +42 2177.088 2575.55 0.26 +43 2403.862 2849.513 0.28 +44 2670.958 3173.44 0.32 +45 2975.498 3544.495 0.35 +46 3327.135 3974.283 0.4 +47 3738.609 4479.621 0.45 +48 4222.68 5079.19 0.51 +49 4804.556 5801.31 0.58 +50 5484.55 6647.34 0.66 +51 6325.29 7703.96 0.77 +52 7340.1 8987.5 0.9 +53 8557.26 10541.1 1.1 +54 10076.33 12493.68 1.2 +55 11937.87 14913.07 1.5 +56 14613.6 18428.56 1.8 +57 17888.38 22759.57 2.3 +58 21995.97 28266.33 2.8 +59 26804.28 34824.47 3.5 +60 31270.09 40948.93 4.1 +61 35636.98 46958.95 4.7 diff --git a/calib_data/_calib_data/calib2021-04-30_p1_c4.dat b/calib_data/_calib_data/calib2021-04-30_p1_c4.dat new file mode 100644 index 0000000..e5d2bfa --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p1_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.393 58.8486 0.0059 +1 62.0524 60.2524 0.006 +2 65.119 62.8354 0.0063 +3 71.5025 68.1716 0.0068 +4 78.9508 74.3273 0.0074 +5 85.9543 80.0542 0.008 +6 94.8307 87.233 0.0087 +7 103.9752 94.5417 0.0095 +8 114.251 102.6545 0.01 +9 125.8087 111.6631 0.011 +10 137.7781 120.8758 0.012 +11 150.8846 130.8274 0.013 +12 165.3042 141.5356 0.014 +13 180.7188 152.9134 0.015 +14 198.0486 165.6325 0.017 +15 216.3991 178.8014 0.018 +16 236.4621 192.9847 0.019 +17 258.4736 208.3146 0.021 +18 280.623 223.5097 0.022 +19 305.4318 240.2737 0.024 +20 333.1251 258.6962 0.026 +21 362.9013 278.182 0.028 +22 395.2218 298.9821 0.03 +23 430.0289 321.0198 0.032 +24 468.2048 344.7733 0.034 +25 508.777 369.4112 0.037 +26 553.677 396.3498 0.04 +27 601.763 424.6862 0.042 +28 652.599 454.104 0.045 +29 707.895 485.5196 0.049 +30 767.604 519.074 0.052 +31 835.585 556.313 0.056 +32 904.361 593.355 0.059 +33 981.458 634.122 0.063 +34 1068.32 679.26 0.068 +35 1159.063 725.548 0.073 +36 1259.957 776.138 0.078 +37 1371.915 831.291 0.083 +38 1495.611 891.098 0.089 +39 1640.482 959.385 0.096 +40 1797.72 1032.463 0.1 +41 1975.07 1113.243 0.11 +42 2177.017 1203.281 0.12 +43 2403.809 1302.218 0.13 +44 2670.947 1416.126 0.14 +45 2975.832 1542.959 0.15 +46 3327.227 1686.329 0.17 +47 3738.717 1848.901 0.18 +48 4222.718 2035.025 0.2 +49 4804.54 2252.17 0.23 +50 5484.44 2497.126 0.25 +51 6325.23 2791.405 0.28 +52 7340.02 3134.277 0.31 +53 8558.22 3531.335 0.35 +54 10076 4007.821 0.4 +55 11937.77 4568.554 0.46 +56 14612.57 5341.48 0.53 +57 17882.02 6236.4 0.62 +58 21998.31 7309.77 0.73 +59 26819.9 8511.06 0.85 +60 31264.87 9573.96 0.96 +61 35625.73 10579.1 1.1 diff --git a/calib_data/_calib_data/calib2021-04-30_p1_c5.dat b/calib_data/_calib_data/calib2021-04-30_p1_c5.dat new file mode 100644 index 0000000..ae513b8 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p1_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.3783 73.0256 0.0073 +1 62.0355 75.0651 0.0075 +2 65.1019 78.8428 0.0079 +3 71.4823 86.7112 0.0087 +4 78.9198 95.9028 0.0096 +5 85.9269 104.5873 0.01 +6 94.8027 115.6101 0.012 +7 103.9408 127.0011 0.013 +8 114.2153 139.8471 0.014 +9 125.7671 154.3441 0.015 +10 137.7297 169.5261 0.017 +11 150.8336 186.1003 0.019 +12 165.2476 204.2347 0.02 +13 180.6566 223.8637 0.022 +14 197.9913 246.055 0.025 +15 216.3318 269.6031 0.027 +16 236.3917 295.4456 0.03 +17 258.3908 323.9044 0.032 +18 280.5522 352.6806 0.035 +19 305.4248 385.0983 0.039 +20 333.1163 421.3084 0.042 +21 362.901 460.4243 0.046 +22 395.2199 502.9803 0.05 +23 430.01 549.262 0.055 +24 468.2037 599.939 0.06 +25 508.782 653.644 0.065 +26 553.685 713.671 0.071 +27 601.775 778.247 0.078 +28 652.612 846.785 0.085 +29 707.915 921.644 0.092 +30 767.608 1002.918 0.1 +31 835.59 1095.756 0.11 +32 904.365 1190.149 0.12 +33 981.469 1296.451 0.13 +34 1068.323 1416.849 0.14 +35 1159.057 1543.274 0.15 +36 1259.869 1685.419 0.17 +37 1371.946 1843.432 0.18 +38 1495.601 2019.103 0.2 +39 1640.432 2224.893 0.22 +40 1797.738 2451.149 0.25 +41 1975.139 2708.469 0.27 +42 2177.05 3003.772 0.3 +43 2403.851 3338.47 0.33 +44 2670.984 3736.25 0.37 +45 2975.956 4194.983 0.42 +46 3327.258 4729.604 0.47 +47 3738.514 5364.03 0.54 +48 4222.86 6118.24 0.61 +49 4804.569 7036.34 0.7 +50 5484.49 8120.28 0.81 +51 6325.31 9486.21 0.95 +52 7340.3 11160.65 1.1 +53 8558.21 13205.95 1.3 +54 10076 15806.15 1.6 +55 11937.86 19066.51 1.9 +56 14613.21 23854.64 2.4 +57 17881.26 29833.82 3 +58 21993.52 37573.63 3.8 +59 26848.54 46903.73 4.7 +60 31259 55711.3 5.6 +61 35612.4 64453.2 6.4 diff --git a/calib_data/_calib_data/calib2021-04-30_p1_c6.dat b/calib_data/_calib_data/calib2021-04-30_p1_c6.dat new file mode 100644 index 0000000..25227bb --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p1_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.3694 34.42529 0.0034 +1 62.0242 34.99008 0.0035 +2 65.09 36.02051 0.0036 +3 71.4666 38.09625 0.0038 +4 78.8953 40.41131 0.004 +5 85.906 42.50442 0.0043 +6 94.7793 45.04017 0.0045 +7 103.914 47.53038 0.0048 +8 114.181 50.20073 0.005 +9 125.7218 53.0857 0.0053 +10 137.6778 55.9019 0.0056 +11 150.7805 58.8396 0.0059 +12 165.1739 61.8801 0.0062 +13 180.5781 65.0045 0.0065 +14 197.9376 68.3466 0.0068 +15 216.2744 71.703 0.0072 +16 236.3269 75.1914 0.0075 +17 258.3149 78.8248 0.0079 +18 280.484 82.3135 0.0082 +19 305.4222 86.0503 0.0086 +20 333.1091 89.9956 0.009 +21 362.9066 94.0268 0.0094 +22 395.2157 98.1741 0.0098 +23 430.0063 102.4089 0.01 +24 468.1982 106.8138 0.011 +25 508.778 111.2086 0.011 +26 553.667 115.8366 0.012 +27 601.763 120.5201 0.012 +28 652.594 125.1982 0.013 +29 707.899 130.0074 0.013 +30 767.694 134.9225 0.013 +31 835.671 140.1982 0.014 +32 904.459 145.2438 0.015 +33 981.567 150.5933 0.015 +34 1068.414 156.2858 0.016 +35 1159.049 161.9996 0.016 +36 1259.836 167.8944 0.017 +37 1371.911 174.0766 0.017 +38 1495.585 180.5029 0.018 +39 1640.31 187.505 0.019 +40 1797.632 194.6866 0.019 +41 1974.986 202.2632 0.02 +42 2176.925 210.3067 0.021 +43 2403.704 218.7064 0.022 +44 2670.755 227.8727 0.023 +45 2975.74 237.5215 0.024 +46 3327.296 247.7535 0.025 +47 3738.509 258.7129 0.026 +48 4222.976 270.4912 0.027 +49 4804.66 283.3137 0.028 +50 5485.07 296.7667 0.03 +51 6325.46 311.7687 0.031 +52 7340.08 327.8918 0.033 +53 8557.46 345.0513 0.035 +54 10076.32 363.911 0.036 +55 11937.43 383.9905 0.038 +56 14615.76 408.986 0.041 +57 17887.59 434.8218 0.043 +58 21999.25 462.43 0.046 +59 26855.34 489.9763 0.049 +60 31266.53 511.8478 0.051 +61 35597.14 531.0314 0.053 diff --git a/calib_data/_calib_data/calib2021-04-30_p2_c1.dat b/calib_data/_calib_data/calib2021-04-30_p2_c1.dat new file mode 100644 index 0000000..24ee547 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p2_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.3502 60.2281 0.006 +1 61.9986 61.7145 0.0062 +2 65.0644 64.4673 0.0064 +3 71.4354 70.1416 0.007 +4 78.8533 76.6798 0.0077 +5 85.8716 82.81 0.0083 +6 94.7403 90.4707 0.009 +7 103.8689 98.2659 0.0098 +8 114.1601 106.9394 0.011 +9 125.6718 116.5639 0.012 +10 137.6342 126.4248 0.013 +11 150.7329 137.0907 0.014 +12 165.1291 148.5688 0.015 +13 180.4941 160.8614 0.016 +14 197.8503 174.4391 0.017 +15 216.1871 188.6068 0.019 +16 236.2302 203.8176 0.02 +17 258.1995 220.2777 0.022 +18 280.3918 236.6571 0.024 +19 305.4088 254.8515 0.025 +20 333.0937 274.6786 0.027 +21 362.9065 295.6895 0.03 +22 395.2111 318.0939 0.032 +23 430.0045 341.8306 0.034 +24 468.2274 367.4551 0.037 +25 508.778 394.0235 0.039 +26 553.674 423.0773 0.042 +27 601.768 453.6535 0.045 +28 652.595 485.3876 0.049 +29 707.796 519.475 0.052 +30 767.611 555.517 0.056 +31 835.571 595.743 0.06 +32 904.357 635.739 0.064 +33 981.427 679.785 0.068 +34 1068.328 728.529 0.073 +35 1159.032 778.534 0.078 +36 1259.934 833.215 0.083 +37 1371.974 892.822 0.089 +38 1495.711 957.49 0.096 +39 1640.453 1031.276 0.1 +40 1797.7 1110.291 0.11 +41 1975.09 1197.64 0.12 +42 2177.015 1295.003 0.13 +43 2403.879 1402.013 0.14 +44 2671.003 1525.191 0.15 +45 2975.606 1663.076 0.17 +46 3327.145 1817.469 0.18 +47 3738.327 1993.395 0.2 +48 4222.749 2194.885 0.22 +49 4804.961 2429.875 0.24 +50 5484.55 2695.044 0.27 +51 6325.4 3013.923 0.3 +52 7340.33 3385.315 0.34 +53 8557.78 3815.417 0.38 +54 10075.95 4332.152 0.43 +55 11938.91 4937.685 0.49 +56 14615.56 5776.21 0.58 +57 17885.1 6748.13 0.67 +58 22002.05 7916.19 0.79 +59 26845.82 9228.4 0.92 +60 31228.29 10373.52 1 +61 35612.98 11467.38 1.1 diff --git a/calib_data/_calib_data/calib2021-04-30_p2_c2.dat b/calib_data/_calib_data/calib2021-04-30_p2_c2.dat new file mode 100644 index 0000000..a826a1d --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p2_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.3381 69.9359 0.007 +1 61.9834 71.8375 0.0072 +2 65.0488 75.3761 0.0075 +3 71.4159 82.7178 0.0083 +4 78.8249 91.262 0.0091 +5 85.848 99.358 0.0099 +6 94.7147 109.5854 0.011 +7 103.839 120.113 0.012 +8 114.1314 131.9666 0.013 +9 125.6358 145.2923 0.015 +10 137.5947 159.153 0.016 +11 150.6788 174.3873 0.017 +12 165.0791 190.9266 0.019 +13 180.4459 208.7847 0.021 +14 197.793 228.9393 0.023 +15 216.1303 250.2608 0.025 +16 236.1652 273.59 0.027 +17 258.1254 299.171 0.03 +18 280.3336 325.0754 0.033 +19 305.4063 354.3382 0.035 +20 333.0911 386.6771 0.039 +21 362.9062 421.5199 0.042 +22 395.2097 459.3146 0.046 +23 430.0019 500.0421 0.05 +24 468.1918 545.021 0.055 +25 508.769 592.253 0.059 +26 553.672 644.893 0.064 +27 601.77 701.356 0.07 +28 652.588 761.038 0.076 +29 707.806 826.012 0.083 +30 767.589 896.364 0.09 +31 835.57 976.41 0.098 +32 904.36 1057.514 0.11 +33 981.444 1148.495 0.11 +34 1068.325 1251.2 0.13 +35 1159.047 1358.571 0.14 +36 1259.939 1478.236 0.15 +37 1371.893 1612.08 0.16 +38 1495.62 1759.446 0.18 +39 1640.541 1931.26 0.19 +40 1797.684 2119.538 0.21 +41 1975.111 2332.428 0.23 +42 2177.009 2575.5 0.26 +43 2403.864 2849.583 0.28 +44 2671.053 3173.37 0.32 +45 2975.61 3544.475 0.35 +46 3327.131 3974.268 0.4 +47 3738.677 4479.653 0.45 +48 4222.712 5079.3 0.51 +49 4804.612 5800.84 0.58 +50 5484.35 6647.27 0.66 +51 6325.46 7703.53 0.77 +52 7339.83 8987.6 0.9 +53 8557.66 10540.62 1.1 +54 10076.77 12493.36 1.2 +55 11938.86 14910.82 1.5 +56 14615.54 18433.48 1.8 +57 17883.25 22757.8 2.3 +58 22002.38 28291.05 2.8 +59 26860.5 34920.3 3.5 +60 31247.74 40920.14 4.1 +61 35591.99 46945.11 4.7 diff --git a/calib_data/_calib_data/calib2021-04-30_p2_c4.dat b/calib_data/_calib_data/calib2021-04-30_p2_c4.dat new file mode 100644 index 0000000..c9e33bd --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p2_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.3267 58.7945 0.0059 +1 61.9687 60.183 0.006 +2 65.0359 62.7663 0.0063 +3 71.3971 68.0835 0.0068 +4 78.7986 74.2009 0.0074 +5 85.8277 79.9512 0.008 +6 94.6911 87.1205 0.0087 +7 103.8108 94.41 0.0094 +8 114.0741 102.5163 0.01 +9 125.6 111.5014 0.011 +10 137.5551 120.6992 0.012 +11 150.6356 130.6402 0.013 +12 165.0256 141.3303 0.014 +13 180.4256 152.6973 0.015 +14 197.7414 165.4079 0.017 +15 216.0743 178.5655 0.018 +16 236.1023 192.7364 0.019 +17 258.054 208.0227 0.021 +18 280.274 223.2757 0.022 +19 305.3998 240.2563 0.024 +20 333.0879 258.6722 0.026 +21 362.9017 278.1791 0.028 +22 395.209 298.9751 0.03 +23 429.9984 320.9972 0.032 +24 468.1836 344.7636 0.034 +25 508.755 369.4021 0.037 +26 553.664 396.3427 0.04 +27 601.755 424.6985 0.042 +28 652.585 454.0939 0.045 +29 707.896 485.5134 0.049 +30 767.579 519.06 0.052 +31 835.555 556.314 0.056 +32 904.357 593.35 0.059 +33 981.445 634.122 0.063 +34 1068.324 679.252 0.068 +35 1159.035 725.542 0.073 +36 1259.941 776.139 0.078 +37 1371.883 831.279 0.083 +38 1495.597 891.104 0.089 +39 1640.559 959.386 0.096 +40 1797.668 1032.492 0.1 +41 1975.123 1113.24 0.11 +42 2176.986 1203.274 0.12 +43 2403.826 1302.22 0.13 +44 2670.984 1416.114 0.14 +45 2975.893 1542.955 0.15 +46 3327.104 1686.291 0.17 +47 3738.713 1848.973 0.18 +48 4222.71 2034.992 0.2 +49 4804.451 2252.125 0.23 +50 5484.19 2497.096 0.25 +51 6325.46 2791.448 0.28 +52 7339.96 3134.288 0.31 +53 8557.95 3531.353 0.35 +54 10076.74 4007.922 0.4 +55 11939.03 4568.682 0.46 +56 14617.38 5342.18 0.53 +57 17883.93 6237.02 0.62 +58 22003.46 7312.82 0.73 +59 26878.88 8526.18 0.85 +60 31243.88 9567.86 0.96 +61 35579.69 10570.03 1.1 diff --git a/calib_data/_calib_data/calib2021-04-30_p2_c5.dat b/calib_data/_calib_data/calib2021-04-30_p2_c5.dat new file mode 100644 index 0000000..2ea2a5f --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p2_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.3165 72.9488 0.0073 +1 61.9555 74.9667 0.0075 +2 65.0238 78.7444 0.0079 +3 71.3795 86.585 0.0087 +4 78.7734 95.7187 0.0096 +5 85.8079 104.4343 0.01 +6 94.6696 115.4449 0.012 +7 103.7842 126.805 0.013 +8 114.0499 139.6406 0.014 +9 125.5671 154.092 0.015 +10 137.5072 169.2455 0.017 +11 150.5968 185.8007 0.019 +12 164.9828 203.8992 0.02 +13 180.3795 223.5026 0.022 +14 197.6941 245.6714 0.025 +15 216.0197 269.1994 0.027 +16 236.0517 295.0114 0.03 +17 257.9853 323.3795 0.032 +18 280.2252 352.2578 0.035 +19 305.3931 385.0552 0.039 +20 333.0903 421.2749 0.042 +21 362.8954 460.3968 0.046 +22 395.2114 502.9688 0.05 +23 429.9671 549.186 0.055 +24 468.1809 599.923 0.06 +25 508.757 653.624 0.065 +26 553.666 713.663 0.071 +27 601.752 778.239 0.078 +28 652.591 846.76 0.085 +29 707.89 921.623 0.092 +30 767.6 1002.906 0.1 +31 835.56 1095.736 0.11 +32 904.355 1190.151 0.12 +33 981.466 1296.435 0.13 +34 1068.34 1416.857 0.14 +35 1159.048 1543.251 0.15 +36 1259.867 1685.407 0.17 +37 1371.885 1843.438 0.18 +38 1495.611 2019.12 0.2 +39 1640.522 2224.917 0.22 +40 1797.725 2451.162 0.25 +41 1975.149 2708.526 0.27 +42 2177.054 3003.747 0.3 +43 2403.871 3338.502 0.33 +44 2670.995 3736.286 0.37 +45 2975.91 4194.929 0.42 +46 3327.21 4729.392 0.47 +47 3738.338 5364.09 0.54 +48 4222.714 6118.12 0.61 +49 4804.551 7036.52 0.7 +50 5484.48 8120.27 0.81 +51 6325.73 9486.1 0.95 +52 7339.7 11160.63 1.1 +53 8558.47 13206.88 1.3 +54 10076.51 15806.87 1.6 +55 11938.29 19074.16 1.9 +56 14617 23855.81 2.4 +57 17883.03 29835.94 3 +58 22007.27 37598.86 3.8 +59 26895.28 47045.08 4.7 +60 31236.38 55693.7 5.6 +61 35564.12 64329.9 6.4 diff --git a/calib_data/_calib_data/calib2021-04-30_p2_c6.dat b/calib_data/_calib_data/calib2021-04-30_p2_c6.dat new file mode 100644 index 0000000..6558f44 --- /dev/null +++ b/calib_data/_calib_data/calib2021-04-30_p2_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) merged from ['2021-04-26', '2021-04-29'] +#idx R ref R meas dummy sigma +0 60.311 34.4053 0.0034 +1 61.9487 34.96457 0.0035 +2 65.0151 35.9957 0.0036 +3 71.368 38.06504 0.0038 +4 78.7532 40.36739 0.004 +5 85.7925 42.47101 0.0042 +6 94.6529 45.00435 0.0045 +7 103.764 47.49044 0.0047 +8 114.0319 50.16171 0.005 +9 125.5297 53.0403 0.0053 +10 137.4646 55.8531 0.0056 +11 150.5519 58.7904 0.0059 +12 164.9189 61.828 0.0062 +13 180.3089 64.9501 0.0065 +14 197.6436 68.2946 0.0068 +15 215.9708 71.6485 0.0072 +16 236.0068 75.1423 0.0075 +17 257.9223 78.7633 0.0079 +18 280.1849 82.2669 0.0082 +19 305.3915 86.047 0.0086 +20 333.0954 89.993 0.009 +21 362.8866 94.0249 0.0094 +22 395.2098 98.1726 0.0098 +23 429.9652 102.406 0.01 +24 468.1753 106.8124 0.011 +25 508.758 111.2072 0.011 +26 553.642 115.8358 0.012 +27 601.743 120.5182 0.012 +28 652.586 125.1967 0.013 +29 707.88 130.006 0.013 +30 767.67 134.9211 0.013 +31 835.644 140.197 0.014 +32 904.444 145.2435 0.015 +33 981.553 150.5932 0.015 +34 1068.427 156.2862 0.016 +35 1159.028 161.9985 0.016 +36 1259.847 167.8938 0.017 +37 1371.869 174.0751 0.017 +38 1495.606 180.5057 0.018 +39 1640.429 187.5079 0.019 +40 1797.645 194.6869 0.019 +41 1975.044 202.2638 0.02 +42 2176.834 210.3054 0.021 +43 2403.707 218.7042 0.022 +44 2670.783 227.8709 0.023 +45 2975.707 237.5223 0.024 +46 3327.28 247.7536 0.025 +47 3738.401 258.7112 0.026 +48 4222.717 270.485 0.027 +49 4804.625 283.3119 0.028 +50 5484.5 296.7633 0.03 +51 6325.6 311.7694 0.031 +52 7339.62 327.8916 0.033 +53 8557.94 345.0496 0.035 +54 10076.94 363.9003 0.036 +55 11937.76 383.9914 0.038 +56 14615.57 408.9926 0.041 +57 17884.79 434.8311 0.043 +58 22005.14 462.4907 0.046 +59 26913.46 490.3765 0.049 +60 31232.91 511.7025 0.051 +61 35564.44 530.8807 0.053 diff --git a/calib_data/_calib_data/calib2021-05-04_p0_c1.dat b/calib_data/_calib_data/calib2021-05-04_p0_c1.dat new file mode 100644 index 0000000..26a907a --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p0_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54656.32 33797.96 10541.46 0.142267354 +57596.33 31063.05 9815.2 0.424264069 +61542.44 26417.39 8555.57 0.246190983 +63532.46 21149.79 7092.57 0.669484877 +65516.31 17253.26 5976.82 0.311384007 +67495.46 14312.93 5113.89 0.311592683 +69480.44 11942.62 4393.285 0.132213842 +71458.31 10052.34 3805.626 0.0461995671 +73441.45 8541 3322.985 0.0673832323 +75404.34 7287.85 2913.337 0.0428263937 +77377.34 6320.03 2589.386 0.128687218 +79343.47 5482.8 2302.912 0.0598798798 +81310.45 4803.46 2066.969 0.0532249941 +83273.39 4222.433 1860.008 0.0753498507 +85237.34 3738.338 1684.37 0.0344963766 +87177.31 3327.233 1531.806 0.0458955336 +89138.31 2975.417 1399.785 0.0449054562 +91106.33 2670.613 1283.544 0.0448374843 +93390.42 2407.501 1181.635 0.0395537609 +95353.43 2176.539 1090.886 0.0429231872 +97326.32 1977.083 1011.355 0.0437778483 +99522.40 1799.571 939.584 0.0348769265 +101507.32 1641.705 875.034 0.0254243977 +103486.33 1507.527 819.767 0.00748999332 +105466.30 1370.317 762.066 0.00764198927 +107445.45 1258.674 714.449 0.00555877684 +109636.32 1158.073 670.93 0.006 +111633.42 1067.549 631.206 0.00940212742 +113824.34 980.8 592.48 0.00447213595 +115819.32 903.78 557.514 0.00352136337 +118008.33 835.089 525.725 0.00494974747 +120202.37 770.367 495.0206 0.0247871741 +122256.32 710.124 466.0148 0.0193730741 +124542.39 654.399 438.571 0.0171201636 +126733.41 601.376 411.7936 0.0155294559 +129195.44 554.846 387.7042 0.0155767776 +131591.49 509.913 363.7284 0.0157208142 +133934.33 469.1473 341.6467 0.00180027776 +136980.44 430.7889 320.1373 0.00358901101 +139863.37 395.7803 299.9923 0.00162511538 +142757.33 363.343 280.8149 0.00225144398 +146281.47 333.6342 262.8362 0.00215777663 +149439.33 306.1121 245.7107 0.00342651426 +155101.48 280.6454 229.5104 0.00115931014 +160669.32 257.7251 214.5799 0.00197205477 +166239.32 236.1714 200.217 0.00308868904 +171987.32 216.0679 186.5238 0.00213447886 +177940.48 197.6574 173.6996 0.00240914923 +183970.45 181.5767 162.2608 0.0017595454 +190181.45 164.61 149.8305 0.00562361094 +196386.31 150.2404 139.2376 0.00192976683 +202512.48 137.1973 129.3382 0.001713476 +208543.46 125.3126 120.1338 0.00124739729 +214659.31 113.8037 111.0348 0.00135499077 +220678.33 103.5821 102.7865 0.00111579568 +226521.42 94.5259 95.3349 0.000767463354 +232274.31 86.0853 88.2504 0.00157607106 +237933.38 78.3426 81.63 0.000774596669 +243412.36 71.3491 75.5325 0.000380788655 +248717.32 64.8566 69.7628 0.00096747093 +253298.32 61.8212 67.0253 0.000980306075 +257063.37 60.2442 65.5937 0.00118363846 diff --git a/calib_data/_calib_data/calib2021-05-04_p0_c2.dat b/calib_data/_calib_data/calib2021-05-04_p0_c2.dat new file mode 100644 index 0000000..1161208 --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p0_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54733.39 33804.99 32620.24 6.55925606 +57673.48 31043.63 29772.07 6.21417814 +61619.31 26414.5 25067.67 1.4017168 +63609.32 21149.15 19805.26 2.04930232 +65593.38 17256.65 15980.69 0.631735704 +67572.36 14313.2 13152.86 0.20697826 +69557.30 11942.64 10895.96 0.36991891 +71535.43 10052.08 9123.01 0.661279064 +73518.31 8541.13 7718.23 0.174957138 +75481.44 7287.39 6567.1 0.25019992 +77454.33 6319.86 5685.92 0.096747093 +79420.45 5483.17 4927.778 0.204561971 +81387.33 4803.525 4321.569 0.121321474 +83350.43 4222.351 3804 0.0546260011 +85314.33 3738.466 3375.659 0.0352264105 +87254.33 3327.245 3013.555 0.0297405447 +89215.43 2975.479 2705.422 0.0324899985 +91184.34 2670.679 2439.637 0.0503398451 +93467.33 2407.514 2211.16 0.0354118624 +95430.47 2176.629 2011.396 0.0414535885 +97403.39 1977.067 1839.302 0.0254479862 +99599.31 1799.332 1686.471 0.0214685817 +101584.32 1641.89 1550.62 0.0740405294 +103563.38 1507.55 1436.362 0.0365184885 +105543.43 1370.346 1318.884 0.0295702553 +107522.38 1258.698 1223.295 0.0262392835 +109713.38 1158.069 1137.039 0.0167600716 +111710.44 1067.581 1059.265 0.0184526421 +113901.47 980.824 984.4 0.0092736185 +115896.32 903.792 917.593 0.0167958328 +118085.44 835.049 857.566 0.0109726934 +120279.31 770.335 800.53 0.0116619038 +122333.41 710.128 746.967 0.00617251974 +124619.33 654.435 696.867 0.00970051545 +126810.45 601.413 648.54 0.0114891253 +129272.37 554.923 605.54 0.0195959179 +131668.34 509.84 563.235 0.0115974135 +134012.38 469.1324 524.72 0.0267207784 +137057.32 430.8079 487.386 0.0112267538 +139940.43 395.8015 452.9457 0.0121515843 +142834.33 363.345 420.5111 0.0111341367 +146358.33 333.6834 390.4152 0.0105040944 +149516.32 306.1125 362.0124 0.0103616601 +155178.32 280.6328 335.3879 0.00572965968 +160746.31 257.6828 311.0702 0.00312985623 +166316.33 236.1321 287.9185 0.00607988487 +172064.33 216.0373 266.0509 0.0057800519 +178017.33 197.6259 245.7591 0.00610155718 +184047.32 181.5475 227.82 0.00423792402 +190258.33 164.5762 208.6203 0.00460662566 +196474.34 150.2075 192.319 0.00816455755 +202589.30 137.1653 177.2054 0.00730643552 +208620.42 125.282 163.2673 0.006942694 +214736.32 113.7854 149.5179 0.00315420354 +220755.43 103.5645 137.2435 0.00239687296 +226598.32 94.5094 126.2365 0.00316306813 +232351.46 86.0707 115.8573 0.00220476756 +238010.43 78.3295 106.2206 0.00262373779 +243489.33 71.338 97.4101 0.0021234406 +248794.33 64.8472 89.1302 0.00212037732 +253375.45 61.8124 85.2191 0.00181356003 +257140.44 60.2365 83.1779 0.00175185616 diff --git a/calib_data/_calib_data/calib2021-05-04_p0_c4.dat b/calib_data/_calib_data/calib2021-05-04_p0_c4.dat new file mode 100644 index 0000000..5edc8ef --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p0_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54810.43 33799.47 22597.41 1.88830347 +57750.44 31023.28 20745.57 1.2739741 +61696.31 26410.76 17682.51 0.337475925 +63686.33 21146.62 14195.46 0.775912366 +65670.45 17256.55 11624.9 0.33763886 +67649.32 14314.12 9691.85 0.18069311 +69634.32 11941.44 8127.77 0.0906090503 +71612.44 10052.6 6881.48 0.314261038 +73595.43 8540.26 5883.45 0.0696419414 +75558.32 7286.77 5055.44 0.0428952212 +77531.45 6320.07 4413.432 0.230806412 +79497.34 5482.93 3857.925 0.157640414 +81464.30 4803.689 3408.853 0.0628816348 +83427.32 4222.298 3022.005 0.0459836928 +85391.42 3738.504 2699.294 0.0123450395 +87331.43 3326.91 2424.3 0.03082207 +89292.47 2975.223 2188.839 0.0205158475 +91262.06 2670.485 1984.272 0.0363813139 +93544.34 2407.33 1807.377 0.0112294256 +95507.33 2176.499 1651.761 0.0231279052 +97480.43 1977.169 1516.476 0.0664710463 +99676.32 1799.425 1396.234 0.0503030814 +101661.38 1641.946 1289.21 0.0592958683 +103640.46 1507.583 1198.466 0.0156971335 +105620.43 1370.373 1104.68 0.00989949494 +107599.32 1258.72 1028.03 0.0160623784 +109790.43 1158.091 958.6 0.0106770783 +111787.32 1067.616 895.759 0.00876926451 +113978.31 980.846 835.037 0.00980306075 +115973.41 903.797 780.659 0.0088825672 +118162.35 835.065 731.603 0.0163737595 +120356.33 770.265 684.829 0.00805605362 +122410.45 710.059 640.759 0.0108120303 +124696.31 654.377 599.397 0.00980306075 +126887.33 601.357 559.363 0.00938616002 +129349.33 554.861 523.629 0.0097416631 +131745.45 509.854 488.2122 0.0241718018 +134089.33 469.1471 455.9403 0.00962086275 +137134.33 430.8212 424.7705 0.00936936497 +140017.32 395.8112 395.7639 0.00726973177 +142911.44 363.3456 368.3606 0.00476487146 +146435.44 333.7012 342.8621 0.00646134661 +149593.40 306.116 318.7108 0.00762469672 +155255.44 280.6211 295.998 0.00512640225 +160823.35 257.6467 275.1796 0.00468657658 +166393.42 236.0993 255.3345 0.0047355042 +172141.47 216.0067 236.5309 0.00505262308 +178094.33 197.5928 219.0341 0.00382478758 +184124.32 181.5196 203.5217 0.00459793432 +190335.47 164.5232 186.8725 0.00371012129 +196551.42 150.1705 172.6998 0.00735227856 +202666.32 137.1325 159.5252 0.00669596894 +208697.31 125.2604 147.2568 0.00285587115 +214813.38 113.7665 135.2957 0.00130422391 +220832.38 103.5478 124.5186 0.00694291005 +226675.45 94.4944 114.8149 0.00238516247 +232428.32 86.0574 105.6522 0.00218082553 +238087.32 78.3183 97.127 0.00201494417 +243566.33 71.3272 89.3149 0.00178577714 +248871.44 64.8372 81.9571 0.00194653538 +253452.39 61.8044 78.4787 0.000849117189 +257217.32 60.2279 76.6572 0.00262982889 diff --git a/calib_data/_calib_data/calib2021-05-04_p0_c5.dat b/calib_data/_calib_data/calib2021-05-04_p0_c5.dat new file mode 100644 index 0000000..f0c720d --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p0_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54887.35 33789.71 25499.35 0.411400049 +57827.33 31012.66 23356.9 0.493963561 +61773.38 26406.06 19825.1 0.987218314 +63763.37 21147.5 15829.68 0.622543171 +65747.33 17251.45 12899.36 0.87157329 +67726.32 14313.99 10707.98 0.306855015 +69711.43 11941.29 8942.54 0.462428373 +71689.32 10053.01 7543.95 0.128257553 +73672.47 8540.18 6427.49 0.0607453702 +75635.45 7286.93 5505.07 0.0401248053 +77608.33 6320.75 4792.824 0.195142 +79574.32 5482.5 4178.184 0.172291613 +81541.44 4803.688 3682.926 0.0358385268 +83504.33 4222.338 3257.468 0.0252507426 +85468.33 3738.371 2903.439 0.0307066768 +87408.32 3326.807 2602.639 0.0278010791 +89369.30 2975.147 2345.577 0.0128101522 +91339.38 2670.369 2122.788 0.0264121184 +93621.38 2407.282 1930.447 0.0328039632 +95584.32 2176.403 1761.659 0.0117004273 +97557.34 1977.111 1615.731 0.0253948814 +99753.41 1799.66 1485.109 0.0677266565 +101738.32 1641.932 1369.574 0.0562352203 +103717.33 1507.566 1271.732 0.0148862353 +105697.32 1370.349 1170.785 0.0185607112 +107676.34 1258.713 1088.393 0.0177228666 +109867.32 1158.098 1013.844 0.0129769026 +111864.33 1067.601 946.464 0.0128218563 +114055.44 980.807 881.437 0.015036622 +116050.46 903.786 823.264 0.0138708327 +118239.32 835.046 770.862 0.013326665 +120433.42 770.246 720.938 0.00797496081 +122487.33 710.036 673.954 0.0116790411 +124773.41 654.361 629.903 0.0120871833 +126964.33 601.351 587.325 0.00751664819 +129426.33 554.86 549.359 0.0102420701 +131822.38 509.852 511.911 0.0101439637 +134166.33 469.1744 477.5589 0.00961296 +137211.45 430.8185 444.5418 0.010101287 +140094.33 395.8017 413.8461 0.00792016414 +142988.31 363.3335 384.8732 0.00796718269 +146512.39 333.7008 357.9609 0.0078223398 +149670.46 306.1086 332.4798 0.00591574171 +155332.45 280.6001 308.5259 0.00621361409 +160901.48 257.5994 286.5826 0.00513848227 +166470.44 236.0605 265.7109 0.00288600069 +172218.31 215.9644 245.9466 0.00334723767 +178171.37 197.5557 227.5673 0.0031434058 +184201.46 181.4873 211.2886 0.00340939877 +190412.47 164.4962 193.8203 0.004266263 +196628.32 150.1446 178.9716 0.00698025787 +202743.37 137.1072 165.1832 0.0082641394 +208774.31 125.2465 152.3569 0.00295110149 +214890.44 113.7454 139.8658 0.00291821863 +220909.31 103.5285 128.6154 0.00228997817 +226752.38 94.4781 118.5123 0.00235393288 +232505.44 86.0421 108.9702 0.00189103146 +238164.31 78.3055 100.0987 0.00166763305 +243643.37 71.3134 91.9733 0.00164347193 +248948.30 64.8269 84.3275 0.00173925271 +253529.32 61.795 80.713 0.0016673332 +257294.31 60.217 78.8238 0.0016235763 diff --git a/calib_data/_calib_data/calib2021-05-04_p0_c6.dat b/calib_data/_calib_data/calib2021-05-04_p0_c6.dat new file mode 100644 index 0000000..9515862 --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p0_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54964.31 33793.36 5197.125 0.225970131 +57904.31 31019.2 4819.495 0.218028668 +61850.43 26403.75 4189.613 0.165807418 +63840.44 21145.67 3456.665 0.112305387 +65824.32 17250.52 2899.505 0.11283838 +67803.44 14313.69 2470.143 0.0483332184 +69788.31 11941.44 2114.487 0.023960384 +71766.33 10052.47 1824.744 0.0262754638 +73749.33 8540.93 1587.874 0.0671892849 +75712.45 7288.05 1387.57 0.0378153408 +77685.45 6320.77 1229.907 0.0302009934 +79651.43 5482.55 1090.736 0.0510333224 +81618.31 4803.668 976.544 0.00737563557 +83581.41 4222.265 876.71 0.0092736185 +85545.44 3738.39 792.17 0.00916515139 +87485.43 3326.824 719.249 0.0215615398 +89446.33 2975.178 656.021 0.0258631011 +91417.33 2670.325 600.304 0.0500839296 +93698.33 2407.281 551.749 0.0363166628 +95661.39 2176.362 508.474 0.0447928566 +97634.33 1976.963 473.0041 0.13714543 +99830.43 1799.716 437.5149 1.44192411 +101815.46 1642.072 408.5401 0.0546965173 +103794.32 1507.595 382.3789 0.0578790895 +105774.33 1370.362 355.3192 0.0367983152 +107753.41 1258.733 333.0215 0.0943864662 +109944.33 1158.146 312.501 0.0413448909 +111941.46 1067.582 291.7642 1.93884051 +114132.36 980.814 275.1771 0.506487758 +116127.33 903.814 258.0684 1.19365279 +118316.32 835.036 244.3235 0.165689967 +120510.45 770.208 228.4287 1.70070282 +122564.32 710.075 216.6361 0.0882977293 +124850.45 654.384 204.0478 0.0579642649 +127041.47 601.325 191.4474 0.0366175368 +129503.42 554.903 180.2733 0.0541564493 +131899.32 509.799 169.2036 0.086988413 +134243.31 469.1388 158.0176 0.112442625 +137288.20 430.7701 146.6828 0.802553859 +140171.33 395.784 136.3858 0.994345984 +143065.44 363.3064 125.9468 1.41169146 +146589.20 333.6796 118.542 1.13971212 +149747.32 306.0844 114.0872 0.25523698 +155409.32 280.5738 239.9694 0.00235881326 +160978.31 257.5501 223.9882 0.00254872517 +166547.35 236.0132 208.7121 0.00180803761 +172295.45 215.9217 194.1579 0.00143840189 +178248.31 197.5249 180.5469 0.00115282262 +184278.32 181.4553 168.4219 0.00161523992 +190489.33 164.4905 155.2571 0.00672376383 +196705.45 150.1286 144.0597 0.00178353581 +202820.45 137.0887 133.6048 0.00149532605 +208851.39 125.221 123.8937 0.00156875747 +214967.31 113.7244 114.306 0.00137113092 +220986.32 103.509 105.6204 0.00132060592 +226829.33 94.4606 97.7807 0.000938616002 +232582.37 86.0258 90.3369 0.00162757488 +238241.46 78.2923 83.385 0.0012489996 +243720.46 71.3012 76.9869 0.00144533733 +249025.44 64.8178 70.9384 0.0013130118 +253606.32 61.7851 68.0704 0.001394274 +257371.46 60.2069 66.5675 0.00114236597 diff --git a/calib_data/_calib_data/calib2021-05-04_p1_c1.dat b/calib_data/_calib_data/calib2021-05-04_p1_c1.dat new file mode 100644 index 0000000..0e4639c --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p1_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55066.33 33792.02 10539.51 0.21234406 +58006.31 31026.59 9802.43 0.464983871 +61952.42 26387.27 8550.27 0.244560831 +63942.43 21141.49 7091.29 0.226914081 +65926.32 17252.81 5976.68 0.150864177 +67905.45 14314.73 5113.45 0.262773667 +69890.45 11942.42 4392.935 0.117942783 +71868.31 10053.49 3805.485 0.109061909 +73851.39 8540.82 3323 0.0509116882 +75814.32 7287.98 2913.31 0.048846699 +77787.35 6320.19 2589.446 0.059045745 +79753.45 5481.68 2302.737 0.129499421 +81720.45 4803.641 2066.97 0.0553353413 +83683.37 4222.398 1859.997 0.0547549085 +85647.32 3738.411 1684.367 0.0323125363 +87587.33 3327.166 1531.784 0.058089586 +89548.32 2975.523 1399.777 0.0424746984 +91519.33 2670.685 1283.527 0.0405721579 +93800.45 2407.564 1181.616 0.0414777049 +95763.40 2176.575 1090.866 0.0409926823 +97736.30 1977.093 1011.359 0.0351695891 +99932.47 1799.356 939.559 0.0411934461 +101917.32 1641.649 875.023 0.0273514168 +103896.32 1507.572 819.766 0.00750999334 +105876.33 1370.333 762.066 0.00695701085 +107855.46 1258.722 714.459 0.0113534136 +110049.00 1158.101 670.923 0.00617251974 +112043.49 1067.574 631.19 0.006164414 +114234.32 980.797 592.486 0.00635609943 +116229.32 903.768 557.51 0.00509901951 +118418.32 835.031 525.721 0.00537587202 +120612.38 770.331 495.0135 0.0226403401 +122666.32 710.111 466.001 0.0188074453 +124952.36 654.415 438.5568 0.0204356551 +127143.49 601.414 411.7789 0.0193661819 +129605.43 554.918 387.6894 0.0166530478 +132001.47 509.816 363.7143 0.0183488692 +134345.45 469.137 341.6371 0.002790878 +137390.44 430.7962 320.136 0.00431277173 +140273.45 395.7727 299.972 0.00354964787 +143167.32 363.2998 280.785 0.00105830052 +146691.47 333.6738 262.8374 0.00244622158 +149849.31 306.0845 245.692 0.00238746728 +155511.46 280.5503 229.4409 0.00240187427 +161080.44 257.4933 214.4253 0.00137876757 +166649.31 235.9633 200.0746 0.00165650234 +172397.31 215.8806 186.3918 0.0020774985 +178350.45 197.4784 173.5701 0.00223360695 +184380.43 181.4127 162.1422 0.00191206694 +190591.42 164.452 149.7134 0.00625971245 +196807.32 150.1061 139.1316 0.0018984204 +202922.39 137.0659 129.2378 0.00195857091 +208953.46 125.1882 120.0382 0.0016358484 +215069.31 113.698 110.95 0.001356466 +221088.32 103.4865 102.7076 0.00135793962 +226931.43 94.4335 95.2597 0.00113181271 +232684.31 86.0072 88.184 0.00144913767 +238343.38 78.2739 81.5705 0.00125896783 +243822.47 71.2871 75.4771 0.00152610616 +249127.32 64.8046 69.7147 0.000949210198 +253708.31 61.774 66.9816 0.00101192885 +257473.39 60.196 65.5468 0.00112071406 diff --git a/calib_data/_calib_data/calib2021-05-04_p1_c2.dat b/calib_data/_calib_data/calib2021-05-04_p1_c2.dat new file mode 100644 index 0000000..56b5c39 --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p1_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55143.38 33791.67 32622.36 1.81092242 +58083.43 31037.07 29771.28 3.92328434 +62029.30 26397.19 25053.16 2.85360123 +64019.32 21139.94 19801.36 1.56755861 +66003.44 17252.09 15978.71 0.50940161 +67982.38 14313.56 13150.97 0.568339687 +69967.32 11942.05 10896.09 0.212814473 +71945.47 10052.62 9121.53 0.599674912 +73928.33 8540.64 7718.14 0.140142784 +75891.43 7287.41 6568.13 0.838218349 +77864.32 6319.7 5686.06 0.0737563557 +79830.45 5482.26 4927.613 0.205134346 +81797.33 4803.574 4321.601 0.0591853022 +83760.45 4222.267 3804.007 0.0527076844 +85724.33 3738.336 3375.586 0.0792237338 +87664.31 3327.147 3013.429 0.0759927628 +89625.45 2975.479 2705.384 0.0310225724 +91597.33 2670.631 2439.632 0.0365458616 +93877.33 2407.538 2211.231 0.0247971773 +95840.42 2176.524 2011.343 0.0280017857 +97813.40 1976.983 1839.216 0.0655316717 +100009.33 1799.263 1686.445 0.0136565003 +101994.32 1641.874 1550.583 0.0831029482 +103973.41 1507.54 1436.352 0.0283478394 +105953.36 1370.348 1318.859 0.0285464534 +107932.41 1258.697 1223.277 0.0225410736 +110126.33 1158.076 1137.017 0.0266852019 +112120.43 1067.561 1059.25 0.0092736185 +114311.49 980.779 984.371 0.022425432 +116306.32 903.751 917.572 0.0209666402 +118495.46 835.025 857.54 0.022 +120689.33 770.332 800.509 0.0194653538 +122743.39 710.108 746.936 0.0183956517 +125029.31 654.423 696.843 0.013118689 +127220.43 601.412 648.522 0.0113841996 +129682.40 554.91 605.524 0.0124257797 +132078.31 509.817 563.223 0.0110498869 +134423.39 469.12 524.706 0.0225477272 +137467.33 430.8004 487.3742 0.0127646387 +140350.44 395.7767 452.9209 0.0122093816 +143244.32 363.2969 420.4605 0.0131188795 +146768.33 333.6944 390.4183 0.0114508078 +149926.33 306.087 361.9813 0.0105357012 +155588.32 280.5387 335.2814 0.00849493967 +161157.32 257.4565 310.8259 0.00638349434 +166726.32 235.9331 287.7 0.0052516664 +172474.34 215.8545 265.8527 0.00335871999 +178427.32 197.4514 245.5666 0.00476067222 +184457.31 181.3886 227.6418 0.00541811775 +190668.32 164.4225 208.4503 0.00437046908 +196884.32 150.0738 192.1663 0.00835110771 +202999.31 137.0401 177.0563 0.00616287271 +209030.42 125.1654 163.1292 0.00693080082 +215146.32 113.6818 149.3979 0.00240187427 +221165.45 103.4718 137.1315 0.00299749896 +227008.32 94.4249 126.1346 0.00233752005 +232761.40 85.996 115.7629 0.00259017374 +238420.45 78.2636 106.1392 0.00212508823 +243899.31 71.2783 97.3356 0.00201593651 +249204.33 64.7968 89.0728 0.0061835265 +253785.45 61.7679 85.1621 0.00133003759 +257550.45 60.1883 83.1149 0.00190499344 diff --git a/calib_data/_calib_data/calib2021-05-04_p1_c4.dat b/calib_data/_calib_data/calib2021-05-04_p1_c4.dat new file mode 100644 index 0000000..6777e24 --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p1_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55220.45 33790.97 22590.7 0.516913919 +58160.46 31057.38 20770.01 0.621522325 +62106.33 26393.78 17670.36 0.437081228 +64096.32 21143.26 14191.76 0.725699662 +66080.44 17250.27 11623.33 0.496799758 +68059.32 14313.24 9691.15 0.182345825 +70044.33 11940.91 8127.46 0.137258879 +72022.45 10051.45 6881.64 0.260844781 +74005.46 8540.33 5883.42 0.0784856675 +75968.34 7286.96 5055.25 0.0552268051 +77941.43 6320.2 4413.414 0.202174182 +79907.31 5482.73 3857.895 0.159318863 +81874.32 4803.724 3408.886 0.033322665 +83837.33 4222.338 3021.981 0.0455291116 +85801.45 3738.441 2699.24 0.0214009346 +87741.44 3326.947 2424.304 0.0185040536 +89705.42 2975.176 2188.752 0.0231430335 +91675.44 2670.448 1984.283 0.0140748002 +93954.31 2407.315 1807.358 0.0405166632 +95917.32 2176.337 1651.796 0.0250679078 +97890.44 1977.056 1516.454 0.0709675982 +100086.33 1799.35 1396.178 0.0654033638 +102071.47 1641.98 1289.209 0.0533000938 +104050.48 1507.543 1198.449 0.00654980916 +106030.43 1370.388 1104.663 0.0187109594 +108009.59 1258.709 1028.02 0.0116619038 +110203.40 1158.105 958.608 0.00997997996 +112197.33 1067.591 895.742 0.0118152444 +114388.32 980.793 835.024 0.0125059986 +116383.42 903.781 780.637 0.0148357676 +118572.48 835.045 731.596 0.0106957936 +120766.32 770.259 684.822 0.00340587727 +122820.44 710.027 640.748 0.00660302961 +125106.31 654.366 599.392 0.0092520268 +127297.34 601.352 559.348 0.00340587727 +129759.35 554.851 523.605 0.012349089 +132155.43 509.849 488.2082 0.0200343705 +134500.44 469.1339 455.9299 0.00879482803 +137544.32 430.8152 424.7653 0.00938621329 +140427.31 395.7868 395.7463 0.0056196975 +143321.47 363.3005 368.3192 0.0066660333 +146845.45 333.71 342.8703 0.00782438496 +150003.38 306.0919 318.6909 0.00473381453 +155665.46 280.5322 295.9171 0.00558471127 +161234.33 257.4311 274.9846 0.00438451822 +166803.42 235.9021 255.1593 0.00140748002 +172551.45 215.8278 236.3648 0.00510254838 +178504.31 197.4277 218.8749 0.00354527855 +184534.32 181.3676 203.377 0.00378681925 +190745.44 164.3763 186.7302 0.00169587735 +196961.41 150.0459 172.5742 0.00817288199 +203076.33 137.0213 159.3236 0.0192406861 +209107.32 125.1483 147.1403 0.00314022292 +215223.37 113.6683 135.192 0.00279284801 +221242.37 103.4589 124.4146 0.00261610397 +227085.45 94.4151 114.7294 0.00120166551 +232838.31 85.9859 105.5746 0.00196061215 +238497.33 78.2558 97.0582 0.00236135554 +243976.32 71.2709 89.2531 0.00092141196 +249281.45 64.7894 81.9022 0.00161740533 +253862.38 61.7612 78.4291 0.00181906569 +257627.32 60.1809 76.6057 0.00114934764 diff --git a/calib_data/_calib_data/calib2021-05-04_p1_c5.dat b/calib_data/_calib_data/calib2021-05-04_p1_c5.dat new file mode 100644 index 0000000..384cee7 --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p1_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55297.33 33789.08 25494.74 0.772554205 +58237.32 31073.35 23402.52 0.479124201 +62183.39 26386.84 19812.22 0.438360582 +64173.40 21148.66 15825.64 0.54114693 +66157.33 17247.35 12897.09 0.710415371 +68136.31 14312.55 10706.49 0.489377155 +70121.46 11940.23 8942.95 0.125896783 +72099.32 10051.89 7543.48 0.122311079 +74082.46 8539.9 6427.25 0.0961769203 +76045.44 7287.09 5505.01 0.0537587202 +78018.33 6321.05 4792.831 0.170824179 +79984.32 5482.65 4178.139 0.186469569 +81951.46 4803.529 3682.892 0.0320873807 +83914.32 4222.397 3257.473 0.0217738375 +85878.32 3738.358 2903.468 0.0272690301 +87818.31 3326.909 2602.595 0.0247487373 +89782.47 2975.117 2345.518 0.0350085704 +91755.47 2670.387 2122.801 0.0175185616 +94031.48 2407.233 1930.466 0.0517532608 +95994.32 2176.309 1761.605 0.0253475837 +97967.32 1977.053 1615.715 0.02182888 +100163.40 1799.601 1485.11 0.0632929696 +102148.32 1641.937 1369.577 0.0549190313 +104127.32 1507.523 1271.706 0.0147783626 +106107.31 1370.35 1170.77 0.0147648231 +108086.37 1258.707 1088.376 0.0175613211 +110280.45 1158.082 1013.845 0.0157003185 +112274.32 1067.573 946.45 0.0122474487 +114465.44 980.789 881.42 0.0114891253 +116460.45 903.776 823.246 0.0127436259 +118649.32 835.043 770.854 0.0119331471 +120843.39 770.239 720.917 0.00906090503 +122897.32 710.024 673.94 0.0124096736 +125183.43 654.34 629.9 0.0111355287 +127374.34 601.341 587.308 0.0112071406 +129836.33 554.84 549.341 0.0105309069 +132232.38 509.842 511.893 0.0142863571 +134577.32 469.1581 477.5472 0.00812132994 +137621.46 430.8058 444.5342 0.00827985507 +140504.33 395.7791 413.8267 0.00799130778 +143398.32 363.2902 384.8344 0.00724596439 +146922.39 333.7104 357.9734 0.00832970588 +150080.45 306.0836 332.4552 0.00724127061 +155742.40 280.5134 308.4459 0.00708583093 +161311.48 257.3949 286.3852 0.00546223398 +166880.43 235.8705 265.5316 0.00558605406 +172628.33 215.7947 245.7806 0.00386315933 +178581.38 197.397 227.4072 0.00367913033 +184611.46 181.3434 211.1403 0.00431752244 +190822.45 164.351 193.6745 0.00406509532 +197038.32 150.0238 178.8449 0.00681535032 +203153.40 136.9985 165.0628 0.00660272671 +209184.32 125.1387 152.2409 0.00346828488 +215300.43 113.6531 139.7653 0.00230672929 +221319.31 103.4442 128.5226 0.00239248824 +227162.39 94.4021 118.4265 0.00192483766 +232915.45 85.974 108.8928 0.00172510869 +238574.31 78.2466 100.0305 0.00195064092 +244053.48 71.2617 91.9117 0.00195984693 +249358.34 64.7807 84.2728 0.00134759044 +253939.34 61.7543 80.6658 0.00207267943 +257704.33 60.1739 78.7717 0.00178353581 diff --git a/calib_data/_calib_data/calib2021-05-04_p1_c6.dat b/calib_data/_calib_data/calib2021-05-04_p1_c6.dat new file mode 100644 index 0000000..ec80e62 --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p1_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55374.31 33789.76 5195.701 0.0923845225 +58314.31 31086.25 4828.776 0.170371359 +62260.44 26384.47 4187.35 0.158328772 +64250.44 21149.92 3456.015 0.147249788 +66234.31 17251.17 2899.029 0.150322653 +68213.38 14312.7 2470.089 0.0378272389 +70198.31 11940.47 2114.428 0.0389820471 +72176.32 10051.88 1824.875 0.0259711378 +74159.32 8540.42 1587.882 0.0768609133 +76122.35 7287.69 1387.487 0.0923152208 +78095.45 6320.7 1229.888 0.0508291255 +80061.43 5482.65 1090.721 0.0837072279 +82028.34 4803.564 976.64 0.0220454077 +83991.42 4222.4 876.737 0.0261553054 +85955.44 3738.42 792.193 0.00583952053 +87895.45 3326.874 719.275 0.0301081384 +89859.32 2975.133 656.003 0.0116661905 +91833.42 2670.245 600.325 0.0106066017 +94108.30 2407.234 551.718 0.00660302961 +96071.47 2176.339 508.574 0.0401297894 +98044.32 1976.963 472.2053 0.780412827 +100240.45 1799.549 439.0616 0.0344151711 +102225.45 1641.797 407.7763 0.693271708 +104204.32 1507.54 382.3614 0.0853867905 +106184.34 1370.33 354.369 0.850207716 +108163.46 1258.713 333.0057 0.01249964 +110357.30 1158.055 312.4465 0.0879350044 +112351.39 1067.607 293.7607 0.126309544 +114542.40 980.782 275.7726 0.0645442794 +116537.32 903.775 259.3163 0.0420968051 +118726.33 835.075 242.6741 1.68670445 +120920.44 770.212 230.2301 0.0250924092 +122974.31 710.038 216.6241 0.117018413 +125260.46 654.286 203.88 0.0659414892 +127451.47 601.309 191.2514 0.200693657 +129913.41 554.818 175.0729 3.12124693 +132309.34 509.794 169.096 0.0175647374 +134654.20 469.1326 157.7278 0.142867967 +137698.21 430.7739 145.4264 0.539206847 +140581.33 395.7493 137.7 0.533730906 +143475.46 363.2763 128.8881 0.855670152 +146999.20 333.6967 119.6064 0.647936991 +150157.32 306.065 110.6429 0.959988744 +155819.31 280.4927 239.916 0.00255734237 +161388.33 257.3548 223.8504 0.00292301215 +166957.32 235.8378 208.5871 0.00269981481 +172705.44 215.7642 194.0413 0.00214965113 +178658.34 197.3665 180.4322 0.00148862353 +184688.33 181.3136 168.3169 0.00250778787 +190899.31 164.3503 155.1525 0.0066291025 +197115.45 150.0096 143.9664 0.00228997817 +203230.45 136.9767 133.512 0.00232808935 +209261.42 125.1193 123.8092 0.00161121072 +215377.32 113.636 114.2311 0.00170557908 +221396.31 103.4291 105.5528 0.00145464772 +227239.32 94.3868 97.7168 0.00130996183 +232992.38 85.9617 90.2804 0.0014366628 +238651.42 78.2366 83.3343 0.000860813569 +244130.44 71.2526 76.9403 0.00126530629 +249435.45 64.7728 70.8974 0.000532916504 +254016.32 61.7473 68.0357 0.00131946959 +257781.44 60.1656 66.5291 0.00097416631 diff --git a/calib_data/_calib_data/calib2021-05-04_p2_c1.dat b/calib_data/_calib_data/calib2021-05-04_p2_c1.dat new file mode 100644 index 0000000..d18587e --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p2_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55476.32 33787.26 10537.79 0.0830060239 +58416.32 31094.3 9820.24 0.133566463 +62362.47 26385.97 8545.95 0.215522621 +64352.45 21136.05 7089.69 0.163370744 +66336.33 17246.91 5975.93 0.255362487 +68315.45 14312.27 5113.3 0.269443872 +70300.44 11941.26 4392.853 0.152650254 +72278.32 10052.08 3805.473 0.0714009804 +74261.47 8541.34 3322.902 0.130382514 +76224.32 7287.98 2913.252 0.058237445 +78197.32 6320.04 2589.42 0.0868792265 +80163.39 5481.57 2302.733 0.114952599 +82130.44 4803.631 2066.967 0.056445549 +84093.48 4222.285 1859.958 0.0407627281 +86057.33 3738.413 1684.352 0.0329484446 +87997.32 3327.177 1531.766 0.0605508051 +89961.45 2975.371 1399.766 0.0425487955 +91939.60 2670.701 1283.515 0.0508773034 +94210.47 2407.577 1181.641 0.034159918 +96173.39 2176.504 1090.878 0.0352363449 +98146.32 1977.077 1011.349 0.0353397793 +100342.39 1799.345 939.559 0.0322629819 +102327.33 1641.62 875 0.0323419233 +104306.32 1507.539 819.761 0.00984377976 +106286.32 1370.36 762.062 0.00675277721 +108265.42 1258.688 714.435 0.00738241153 +110459.33 1158.092 670.921 0.00727323862 +112453.40 1067.564 631.181 0.00573585216 +114644.31 980.734 592.473 0.00470106371 +116639.34 903.77 557.51 0.00547722558 +118828.32 835.028 525.718 0.0054405882 +121022.39 770.324 495.0032 0.0208704576 +123076.33 710.084 465.9991 0.0191046853 +125362.37 654.421 438.5534 0.0199920984 +127553.43 601.396 411.7737 0.0177003107 +130015.43 554.896 387.6855 0.0136288297 +132411.37 509.815 363.7081 0.016431342 +134756.31 469.139 341.6298 0.00313304963 +137801.45 430.7875 320.1273 0.00432677709 +140683.37 395.7566 299.9609 0.00271459021 +143578.32 363.2463 280.7576 0.00364472221 +147101.38 333.6994 262.8464 0.00285376944 +150259.36 306.0628 245.6785 0.00396799698 +155921.45 280.4796 229.3974 0.00248676497 +161490.44 257.3075 214.3025 0.00172771525 +167059.33 235.8002 199.9655 0.00298747385 +172830.44 215.7347 186.2851 0.00291358885 +178760.45 197.3245 173.4725 0.00146458185 +184790.45 181.2847 162.0502 0.00217163533 +191001.42 164.3211 149.6205 0.00557180402 +197217.33 149.9945 139.0493 0.00124137021 +203332.45 136.9636 129.1563 0.00183874958 +209363.48 125.0952 119.9623 0.0018976301 +215479.32 113.6143 110.8827 0.00141456707 +221498.32 103.412 102.6473 0.00121696343 +227341.45 94.3701 95.2034 0.00120166551 +233094.32 85.9449 88.1332 0.00152184099 +238753.36 78.2223 81.5248 0.00140570267 +244232.38 71.2404 75.4359 0.00162141913 +249537.32 64.762 69.6772 0.00123125952 +254118.33 61.7386 66.9505 0.00133603892 +257883.39 60.1578 65.5139 0.0013960659 diff --git a/calib_data/_calib_data/calib2021-05-04_p2_c2.dat b/calib_data/_calib_data/calib2021-05-04_p2_c2.dat new file mode 100644 index 0000000..0753a67 --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p2_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55553.47 33786.79 32611.77 2.85300018 +58493.39 31095.82 29837.63 1.12907484 +62439.32 26380.89 25029.66 5.56915074 +64429.33 21137.28 19795.35 1.34009328 +66413.44 17249.34 15974.62 2.31718795 +68392.44 14311.77 13150.79 0.351695891 +70377.34 11941.63 10895.43 0.567635446 +72355.45 10051.86 9121.31 0.576792857 +74338.33 8541.14 7718.46 0.275390632 +76301.47 7287.24 6567.73 0.604491522 +78274.32 6319.56 5685.53 0.370418682 +80240.44 5482.24 4927.57 0.263594385 +82207.33 4803.505 4321.518 0.105724169 +84170.43 4222.213 3803.962 0.0388278251 +86134.33 3738.309 3375.569 0.0697918333 +88074.33 3327.137 3013.448 0.0457558739 +90039.32 2975.346 2705.384 0.0319749902 +92019.32 2670.699 2439.645 0.0353906767 +94287.32 2407.543 2211.118 0.0975684375 +96250.45 2176.438 2011.347 0.037577919 +98223.38 1976.997 1839.259 0.0246758992 +100419.31 1799.246 1686.421 0.0221110832 +102404.33 1641.8 1550.574 0.0772554205 +104383.46 1507.512 1436.332 0.0159874951 +106363.45 1370.346 1318.889 0.01126499 +108342.45 1258.678 1223.266 0.0210333069 +110536.33 1158.07 1137 0.0321558704 +112530.44 1067.539 1059.225 0.0166883193 +114721.47 980.777 984.358 0.0218082553 +116716.33 903.755 917.566 0.0163217646 +118905.43 835.016 857.542 0.0144083309 +121099.32 770.322 800.513 0.00490917508 +123153.38 710.089 746.93 0.0170293864 +125439.30 654.411 696.842 0.00758946638 +127630.46 601.402 648.496 0.0149130815 +130092.37 554.893 605.527 0.00448330235 +132488.34 509.81 563.204 0.0128218563 +134833.39 469.1047 524.687 0.0156236999 +137878.33 430.7921 487.3643 0.0124812259 +140760.41 395.7589 452.899 0.0135218342 +143655.45 363.2551 420.4219 0.0107400652 +147178.33 333.7022 390.4336 0.0103016504 +150336.33 306.0654 361.9605 0.0108519583 +155998.33 280.471 335.2155 0.00684580163 +161567.33 257.2856 310.6392 0.00658452732 +167136.33 235.7762 287.5331 0.00694758951 +172907.32 215.7107 265.6842 0.00673171598 +178837.32 197.3136 245.4161 0.00528478949 +184867.33 181.2645 227.5041 0.00574882597 +191078.30 164.2998 208.3125 0.00206033978 +197294.32 149.9668 192.0458 0.0106984111 +203409.32 136.9372 176.9379 0.00754513088 +209440.44 125.07 163.021 0.0060876925 +215556.32 113.6023 149.3005 0.00354471437 +221575.44 103.4018 137.0466 0.00290929545 +227418.33 94.3605 126.055 0.00271293199 +233171.43 85.9387 115.6921 0.00293410975 +238830.45 78.2157 106.0764 0.00272836948 +244309.31 71.2343 97.2801 0.0022020445 +249614.31 64.7571 89.0139 0.00259403161 +254195.42 61.7353 85.1199 0.00203690942 +257960.45 60.153 83.0712 0.00201395134 diff --git a/calib_data/_calib_data/calib2021-05-04_p2_c4.dat b/calib_data/_calib_data/calib2021-05-04_p2_c4.dat new file mode 100644 index 0000000..9249269 --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p2_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55630.43 33777.56 22584.54 1.17772662 +58570.46 31098.04 20795.37 0.288114561 +62516.31 26378.57 17663.1 1.70440605 +64506.31 21140.12 14188.8 0.494368284 +66490.41 17252.84 11622.04 0.623089079 +68469.31 14312.34 9690.72 0.15861904 +70454.32 11941.41 8126.77 0.207870152 +72432.45 10051.91 6881.19 0.129961533 +74415.44 8540.12 5883.14 0.032249031 +76378.31 7286.61 5055.2 0.0774596669 +78351.46 6320.11 4413.449 0.189923406 +80317.34 5482.91 3857.878 0.160204869 +82284.31 4803.69 3408.855 0.016263456 +84247.32 4222.354 3021.889 0.0385084406 +86211.43 3738.442 2699.224 0.032409875 +88151.45 3326.979 2424.264 0.0173320512 +90116.32 2975.18 2188.764 0.0201096992 +92125.21 2670.507 1984.263 0.0310499597 +94364.33 2407.342 1807.384 0.0101192885 +96327.33 2176.347 1651.764 0.00737563557 +98300.45 1977.111 1516.456 0.0686760511 +100496.30 1799.385 1396.183 0.063844342 +102481.45 1641.923 1289.186 0.0533704038 +104460.44 1507.57 1198.428 0.00822192192 +106440.43 1370.351 1104.659 0.0201221271 +108419.34 1258.701 1028.012 0.0166012048 +110613.38 1158.087 958.593 0.0113181271 +112607.32 1067.553 895.72 0.00989949494 +114798.32 980.794 835.016 0.00896660471 +116793.35 903.756 780.627 0.0158145503 +118982.39 835.03 731.591 0.00607453702 +121176.32 770.243 684.817 0.00246981781 +123230.45 710.023 640.738 0.0127906216 +125516.32 654.341 599.389 0.00434741302 +127707.32 601.335 559.333 0.0114061387 +130169.33 554.836 523.605 0.00353553391 +132565.44 509.817 488.1894 0.0240562674 +134910.43 469.1122 455.9193 0.00789816434 +137955.44 430.8055 424.7583 0.00778466441 +140837.34 395.7695 395.7307 0.00662578297 +143732.38 363.2675 368.2823 0.00824748446 +147255.46 333.7128 342.8761 0.00551624873 +150413.41 306.0734 318.6737 0.00660764709 +156075.44 280.4704 295.8674 0.00347908034 +161644.33 257.2666 274.8307 0.00510107832 +167213.42 235.7561 255.0391 0.0126999606 +172984.32 215.6874 236.2321 0.00497282616 +178914.33 197.298 218.7507 0.0015559563 +184944.33 181.2493 203.2624 0.00307961036 +191155.44 164.2622 186.6119 0.00317946536 +197371.45 149.9421 172.4712 0.0073454748 +203486.33 136.9223 159.2085 0.00459401785 +209517.31 125.058 147.0487 0.00349585469 +215633.39 113.5907 135.1126 0.00159499216 +221652.36 103.3922 124.3423 0.00324052465 +227495.44 94.3522 114.6622 0.00238243573 +233248.32 85.9303 105.5142 0.00222620754 +238907.32 78.2095 97.0069 0.00179136819 +244386.32 71.2294 89.2053 0.00211210795 +249691.45 64.7544 81.8604 0.00106018866 +254272.38 61.732 78.3939 0.00168196314 +258037.34 60.1491 76.5689 0.00155852494 diff --git a/calib_data/_calib_data/calib2021-05-04_p2_c5.dat b/calib_data/_calib_data/calib2021-05-04_p2_c5.dat new file mode 100644 index 0000000..1c1ebce --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p2_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55707.32 33773.38 25487.9 0.910384534 +58647.32 31097.24 23417.25 1.64025913 +62593.44 26376.87 19800.31 1.2291013 +64583.38 21141.31 15821.22 1.05818713 +66567.32 17251.47 12895.83 0.428030373 +68546.31 14312.24 10706.37 0.309531905 +70531.42 11940.16 8942.16 0.102176318 +72509.33 10051.68 7543.37 0.0648845128 +74492.46 8539.88 6427.18 0.0987927123 +76455.46 7286.87 5504.95 0.0514781507 +78428.32 6321.08 4792.812 0.186170889 +80394.32 5482.71 4178.024 0.187190812 +82361.44 4803.693 3682.907 0.0312105751 +84324.33 4222.243 3257.371 0.0388960152 +86288.31 3738.39 2903.473 0.0108673824 +88228.33 3326.917 2602.568 0.0270111088 +90193.48 2975.154 2345.5 0.0395727179 +92256.87 2670.537 2122.812 0.0120664825 +94441.46 2407.279 1930.488 0.0215313725 +96404.32 2176.333 1761.63 0.0134164079 +98377.33 1977.063 1615.748 0.0171930218 +100573.42 1799.746 1485.1 0.059749477 +102558.32 1641.909 1369.569 0.0495065652 +104537.32 1507.564 1271.701 0.0184092368 +106517.34 1370.331 1170.764 0.015504838 +108496.33 1258.683 1088.38 0.006164414 +110690.44 1158.074 1013.835 0.0121860576 +112684.33 1067.539 946.428 0.016235763 +114875.44 980.781 881.412 0.0101784085 +116870.43 903.737 823.238 0.0141985915 +119059.32 835.017 770.846 0.00764198927 +121253.42 770.228 720.907 0.00894986033 +123307.33 710.012 673.928 0.00914330356 +125593.39 654.332 629.885 0.0112472219 +127784.33 601.318 587.291 0.0097416631 +130246.32 554.825 549.326 0.0108811764 +132642.40 509.813 511.889 0.0097416631 +134987.32 469.1398 477.5361 0.00954719854 +138032.42 430.8059 444.5267 0.00587034922 +140914.31 395.7656 413.8128 0.00828227022 +143809.33 363.2578 384.8022 0.0092701672 +147332.48 333.7079 357.9722 0.00829192378 +150490.45 306.0672 332.4422 0.00730041095 +156152.39 280.461 308.3967 0.00635932386 +161721.47 257.2293 286.2364 0.00368293361 +167290.45 235.7322 265.3957 0.00440919494 +173062.39 215.662 245.6425 0.00510538931 +178991.47 197.2721 227.2836 0.00270628897 +185021.46 181.2278 211.0279 0.00222912539 +191232.46 164.2401 193.5587 0.00431288766 +197448.32 149.9255 178.7397 0.00648544524 +203563.47 136.9051 164.9625 0.00761741426 +209594.33 125.0523 152.1491 0.00333901183 +215710.45 113.576 139.6828 0.00303578655 +221729.31 103.38 128.4507 0.00227618101 +227572.47 94.3414 118.3605 0.00267301328 +233325.44 85.9212 108.8337 0.0016065491 +238984.32 78.2018 99.9798 0.00208710326 +244463.49 71.2227 91.866 0.00183303028 +249768.32 64.7477 84.2322 0.0016297239 +254349.32 61.7272 80.6332 0.00141279864 +258114.31 60.1448 78.7373 0.00174957138 diff --git a/calib_data/_calib_data/calib2021-05-04_p2_c6.dat b/calib_data/_calib_data/calib2021-05-04_p2_c6.dat new file mode 100644 index 0000000..249fa06 --- /dev/null +++ b/calib_data/_calib_data/calib2021-05-04_p2_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55784.31 33781.41 5193.753 0.182740526 +58724.31 31093.25 4830.296 0.194412963 +62670.42 26374.78 4185.591 0.138379551 +64660.41 21139.74 3455.552 0.142645014 +66644.31 17250.54 2898.845 0.0667720001 +68623.46 14311.43 2470.021 0.0331798131 +70608.32 11939.33 2114.418 0.0401447381 +72586.32 10052.01 1824.999 0.0269981481 +74569.31 8540.47 1587.964 0.0565720779 +76532.48 7287.8 1387.526 0.0734874139 +78505.45 6320.93 1229.949 0.0491823139 +80471.40 5482.62 1090.809 0.0213752193 +82438.32 4803.64 976.547 0.0608120054 +84401.46 4222.26 876.641 0.0596565168 +86365.44 3738.265 792.177 0.0264215821 +88305.45 3326.793 719.195 0.0526735228 +90270.45 2975.172 656.022 0.0474510274 +92557.35 2670.463 600.323 0.00317804972 +94518.31 2407.299 551.74 0.0223159136 +96481.47 2176.27 508.521 0.00953414915 +98454.32 1977.113 473.0016 0.130905936 +100650.45 1799.662 439.0642 0.0370488326 +102635.43 1641.875 407.2721 1.18976338 +104614.31 1507.568 382.3434 0.0984840292 +106594.31 1370.314 355.2462 0.0317719373 +108573.38 1258.683 332.6749 0.283562919 +110767.34 1158.103 312.4546 0.0491129718 +112761.48 1067.514 293.7774 0.0891367713 +114952.46 980.752 275.6836 0.0311008682 +116947.32 903.757 257.3691 1.80725863 +119136.35 835.028 243.5942 0.799428631 +121330.44 770.226 230.2542 0.00279928562 +123384.32 710.034 216.6656 0.0448350756 +125670.43 654.335 203.8929 0.0438192766 +127861.45 601.326 191.4558 0.0137940567 +130323.41 554.84 180.1051 0.151234484 +132719.33 509.759 169.081 0.0178874258 +135064.20 469.1045 154.7936 0.894227479 +138109.19 430.7739 143.2324 0.645185604 +140991.33 395.7663 131.4928 1.88711476 +143886.34 363.2436 129.8069 0.706759159 +147409.19 333.7077 117.471 0.762411962 +150567.32 306.0532 104.0933 1.26946354 +156229.32 280.4454 239.8809 0.00320764711 +161798.31 257.1982 223.7429 0.00296462477 +167367.32 235.7064 208.4912 0.00227068272 +173139.33 215.634 193.948 0.00142828569 +179068.33 197.246 180.3418 0.00188573593 +185098.33 181.204 168.2356 0.00149799866 +191309.34 164.2428 155.0694 0.00619709609 +197525.45 149.9168 143.8912 0.00273788239 +203640.44 136.8863 133.4393 0.00203002463 +209671.44 125.0362 123.7406 0.0013130118 +215787.32 113.5626 114.1701 0.00174040225 +221806.32 103.3673 105.4992 0.00131757353 +227649.31 94.3319 97.6686 0.00128996124 +233402.44 85.9115 90.2362 0.00118995798 +239061.42 78.1934 83.2972 0.000892188321 +244540.43 71.2148 76.9063 0.00117515956 +249845.45 64.7403 70.8667 0.00112294256 +254426.31 61.7221 68.0101 0.00144533733 +258191.45 60.1399 66.5031 0.0012525973 diff --git a/calib_data/_calib_data/calib2022-02-21_p0_c1.dat b/calib_data/_calib_data/calib2022-02-21_p0_c1.dat new file mode 100644 index 0000000..f13b66a --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p0_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +58273.58 33868.24 22830.67 0.982858077 +60572.59 31187.46 21229.76 0.890864748 +120807.41 26853.46 18610.58 0.350371232 +123948.42 21493.03 15301.75 0.617130456 +126142.59 17512.18 12782.45 0.553217859 +128324.60 14506.22 10839.72 0.375446401 +130528.45 12079.66 9231.57 0.668737617 +132725.77 10150.27 7924.45 0.452824469 +134906.46 8608.68 6858.17 0.387569349 +137084.63 7334.01 5958.87 0.273148311 +139264.64 6352.44 5251.46 0.214102779 +143421.61 5506.46 4629.981 0.0718811519 +145601.58 4822.356 4119.79 0.0812526923 +147774.58 4236.018 3674.047 0.122082349 +149952.59 3748.495 3297.645 0.080389676 +152141.60 3334.606 2972.424 0.116946141 +154319.41 2981.221 2690.477 0.0349585469 +156500.58 2675.377 2442.845 0.0526925042 +158677.42 2411.394 2226.539 0.0597235297 +160860.60 2179.788 2033.933 0.0793479678 +163057.44 1979.928 1865.446 0.0446810922 +165243.57 1802.234 1713.955 0.0898582217 +167442.54 1644.242 1577.249 0.0271090391 +169642.58 1509.901 1460.889 0.0287210724 +171837.43 1372.388 1339.904 0.0450599601 +174052.60 1260.325 1240.414 0.0345600926 +176268.41 1159.305 1150.056 0.0212226294 +178471.57 1068.602 1068.163 0.0172075565 +180697.43 981.701 989.193 0.0163737595 +182937.43 904.539 918.553 0.0244969386 +185183.48 835.819 855.083 0.028707142 +187448.45 770.937 794.917 0.0370688549 +189732.58 710.62 738.571 0.023767625 +192032.62 654.862 686.193 0.0271311629 +194389.44 601.889 636.042 0.041323117 +196788.44 555.382 591.676 0.0198595065 +199262.61 510.204 548.353 0.0264971697 +201809.39 469.5216 509.185 0.0247891105 +204446.46 431.1474 471.6183 0.00693404644 +207193.48 396.1505 437.2366 0.00782329854 +210280.61 363.7258 405.1648 0.00722329565 +213816.43 333.8374 375.3288 0.00922474932 +217983.63 305.8847 347.1572 0.00629730101 +223317.41 281.0401 321.855 0.00736885337 +229107.44 257.9599 298.155 0.00722495675 +234897.43 236.4479 275.8302 0.00617057534 +240867.45 216.2664 254.6491 0.00782361809 +246928.43 197.8524 235.124 0.00491528229 +253038.41 181.66 217.7176 0.00504816798 +259367.43 164.5775 199.2046 0.00587401055 +265517.41 150.3088 183.5803 0.0111409605 +271764.63 137.1943 168.9619 0.00981677136 +278001.62 125.264 155.5025 0.00274681634 +284233.64 113.7857 142.4288 0.0024240462 +291219.42 103.3629 130.4286 0.00295702553 +297187.43 94.4821 120.0741 0.00223360695 +303150.58 86.0266 110.1223 0.00205450724 +308935.76 78.2943 100.9189 0.00337179477 +314546.47 71.2994 92.4992 0.00177651344 +319970.56 64.8217 84.6175 0.002228228 +324678.43 61.7908 80.9024 0.00232894826 +328568.43 60.2125 78.9602 0.00289413199 diff --git a/calib_data/_calib_data/calib2022-02-21_p0_c2.dat b/calib_data/_calib_data/calib2022-02-21_p0_c2.dat new file mode 100644 index 0000000..33c7ec5 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p0_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +58363.58 33864.27 13709.53 0.195473783 +60663.60 31179.51 12844.53 0.429662658 +120898.42 26857.2 11422.08 0.377041112 +124038.43 21493 9582.62 0.463206218 +126233.59 17511.87 8152.67 0.489908155 +128415.80 14506.16 7028.03 0.319390044 +130618.44 12080.61 6081.07 0.751005992 +132816.45 10150.68 5296.75 0.503636774 +134997.42 8608.98 4646.366 0.119718002 +137175.79 7334.24 4089.23 0.116370099 +139355.76 6352.52 3645.539 0.106164495 +143512.54 5506.67 3251.162 0.0997176013 +145692.58 4822.111 2922.462 0.0593262168 +147865.70 4235.984 2631.863 0.0710499824 +150043.60 3748.629 2383.6 0.0451220567 +152232.61 3334.748 2166.917 0.0812656139 +154410.57 2981.242 1977.32 0.0824014563 +156591.58 2675.352 1809.011 0.100503234 +158768.42 2411.336 1660.659 0.0829873484 +160951.59 2179.804 1526.859 0.0517774082 +163148.45 1980.071 1409.603 0.0209308385 +165333.57 1802.261 1303.251 0.040285233 +167533.57 1644.309 1206.989 0.0232142198 +169733.59 1509.935 1124.13 0.0270554985 +171928.43 1372.379 1037.366 0.0284675254 +174143.56 1260.342 965.55 0.0252982213 +176358.41 1159.317 899.84 0.0243721152 +178562.58 1068.58 840.034 0.0227683992 +180788.43 981.698 781.945 0.0257390754 +183028.43 904.468 729.707 0.0154951605 +185274.64 835.762 682.477 0.0256534598 +187539.41 770.895 637.513 0.0186574382 +189823.61 710.638 595.232 0.0339941171 +192123.63 654.852 555.591 0.0296124974 +194480.59 601.917 517.4 0.0249399278 +196878.44 555.391 483.4452 0.00794707493 +199353.61 510.247 450.1873 0.0111803846 +201900.58 469.5244 419.958 0.00968710483 +204537.43 431.1639 390.9407 0.00956247876 +207283.64 396.1305 364.1582 0.0090673039 +210371.62 363.7053 339.0115 0.0100441525 +213907.42 333.8275 315.564 0.0103566404 +218073.48 305.869 293.3236 0.00815009202 +223408.42 280.9987 273.2523 0.00682356212 +229198.45 257.8943 254.3705 0.0105111845 +234988.42 236.4009 236.513 0.00589576119 +240958.45 216.2291 219.5192 0.0114706582 +247018.43 197.8266 203.7796 0.00842045129 +253128.41 181.6226 189.6869 0.00672971025 +259458.43 164.5479 174.6164 0.00802770204 +265608.41 150.2698 161.857 0.00993680029 +271855.75 137.164 149.8441 0.0026737614 +278092.62 125.24 138.7979 0.00141739197 +284323.64 113.7605 127.9948 0.00192769292 +291310.58 103.3478 118.0549 0.00360957061 +297278.44 94.4623 109.4267 0.00187643279 +303241.62 86.0096 101.1203 0.00275699111 +309026.44 78.2809 93.415 0.0025845696 +314637.42 71.2852 86.3567 0.00198015151 +320061.60 64.8091 79.7254 0.00233323809 +324768.42 61.7808 76.5936 0.001877232 +328658.44 60.2014 74.9624 0.00166853229 diff --git a/calib_data/_calib_data/calib2022-02-21_p0_c4.dat b/calib_data/_calib_data/calib2022-02-21_p0_c4.dat new file mode 100644 index 0000000..af9f102 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p0_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +58453.59 33864.2 17922.38 0.48099896 +60753.59 31171.22 16711.58 1.43358292 +120988.41 26866.25 14752.34 1.0257875 +124128.43 21495.43 12232.16 0.825009091 +126323.60 17510.83 10299.05 0.512103505 +128506.44 14505.29 8793.64 0.302390476 +130709.40 12079.63 7539.43 1.04995714 +132907.41 10150.39 6512.09 0.532062026 +135088.42 8608.42 5668.44 0.263514705 +137266.47 7334.72 4950.406 0.117210921 +139446.48 6352.57 4383.819 0.136656138 +143603.58 5507.28 3884.084 0.076396335 +145783.54 4821.981 3470.897 0.099116598 +147956.47 4235.729 3108.241 0.0570166642 +150133.59 3748.839 2800.204 0.0959916663 +152323.56 3334.955 2533.398 0.0915729218 +154501.57 2981.252 2300.828 0.0972913151 +156682.59 2675.508 2096 0.090399115 +158858.43 2411.495 1915.683 0.041881977 +161042.59 2179.905 1755.207 0.0750206638 +163238.44 1980.017 1614.411 0.0983610695 +165423.58 1802.307 1486.624 0.0307310917 +167623.50 1644.294 1372.078 0.0341115816 +169823.59 1509.941 1273.888 0.0258766304 +172018.44 1372.277 1171.447 0.0209785605 +174233.61 1260.32 1086.999 0.0201221271 +176448.38 1159.333 1010.054 0.0289551377 +178653.58 1068.515 940.12 0.0282488938 +180878.42 981.71 872.63 0.032 +183118.43 904.514 812.122 0.0288721319 +185365.64 835.746 757.584 0.0126649122 +187630.57 770.884 705.721 0.0274025546 +189913.62 710.639 657.097 0.0294974575 +192213.63 654.823 611.742 0.0205329004 +194571.64 601.88 568.255 0.0240104144 +196968.44 555.383 529.713 0.0170909333 +199443.61 510.309 491.8518 0.0136101433 +201991.62 469.5367 457.598 0.00635767253 +204628.43 431.1478 424.8712 0.00714394849 +207374.65 396.1299 394.719 0.00581893461 +210462.61 363.7027 366.502 0.013460312 +213998.42 333.8019 340.2073 0.00831630928 +218163.64 305.8638 315.3628 0.0101151372 +223498.78 280.9601 292.9493 0.00622743928 +229288.44 257.8384 271.9252 0.00885866807 +235079.42 236.351 252.0841 0.00641474863 +241048.45 216.1778 233.2671 0.00667899693 +247108.42 197.7861 215.8394 0.0058994915 +253218.41 181.574 200.301 0.00802620707 +259548.43 164.5157 183.6977 0.00597503138 +265698.42 150.2342 169.6489 0.0093823771 +271946.48 137.1365 156.4645 0.00251495527 +278183.61 125.216 144.363 0.00178885438 +284413.64 113.7302 132.5364 0.00337994083 +291401.62 103.334 121.666 0.00319374388 +297368.43 94.4371 112.2325 0.00282223316 +303332.63 85.991 103.1602 0.00209666402 +309117.44 78.2661 94.7523 0.00184959455 +314728.42 71.2707 87.0451 0.00253160028 +320152.60 64.7974 79.8023 0.00170909333 +324858.42 61.771 76.3871 0.00213752193 +328748.43 60.1903 74.5945 0.00175641681 diff --git a/calib_data/_calib_data/calib2022-02-21_p0_c5.dat b/calib_data/_calib_data/calib2022-02-21_p0_c5.dat new file mode 100644 index 0000000..08a2566 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p0_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +58543.59 33862.34 10317.04 0.285727143 +60844.63 31148.81 9706.18 0.450510821 +121078.41 26866.09 8712.37 0.51517958 +124218.43 21495.76 7400.57 0.201022387 +126413.60 17511.53 6367.43 0.285324377 +128597.44 14505.78 5546.03 0.397756207 +130800.56 12079.85 4844.025 0.448716503 +132998.42 10150.78 4258.175 0.203829586 +135178.42 8608.56 3767.194 0.0739756717 +137357.43 7335.07 3342.611 0.0951677466 +139537.44 6352.95 3000.543 0.121778898 +143693.57 5507.84 2694.599 0.0796548806 +145873.58 4822.117 2437.368 0.0527598332 +148047.43 4235.578 2208.048 0.0606761897 +150223.59 3748.722 2010.594 0.0519846131 +152413.57 3334.768 1837.302 0.0917583784 +154592.57 2981.294 1684.509 0.0788346371 +156773.58 2675.614 1547.617 0.0136418474 +158948.43 2411.808 1426.675 0.0346482323 +161133.59 2180.09 1317.623 0.0181135309 +163328.45 1979.99 1220.93 0.0324345495 +165513.57 1802.358 1132.78 0.0284604989 +167713.54 1644.201 1052.652 0.0195345847 +169913.58 1509.849 983.386 0.0306006536 +172108.44 1372.247 910.511 0.0254342289 +174324.64 1260.27 850.027 0.0256924113 +176538.41 1159.362 794.468 0.0304565264 +178744.62 1068.569 743.603 0.0240020832 +180968.43 981.679 693.909 0.0254342289 +183208.44 904.532 649.201 0.0276929594 +185456.44 835.819 608.692 0.0217623528 +187721.61 770.928 569.855 0.0215986111 +190003.61 710.568 533.119 0.0165196852 +192303.62 654.889 498.5704 0.00999619928 +194662.59 601.885 465.3536 0.0116800685 +197058.44 555.4 435.7354 0.00920782276 +199533.61 510.257 406.5326 0.0104328328 +202082.61 469.5411 379.8711 0.00530367797 +204718.43 431.1338 354.2609 0.00442142511 +207465.76 396.1286 330.5361 0.00733682493 +210553.61 363.6939 308.1834 0.00869620607 +214088.42 333.7722 287.2842 0.00613481866 +218253.80 305.8542 267.4077 0.00629769799 +223589.42 280.9186 249.3531 0.00915035518 +229378.45 257.8007 232.374 0.00567626638 +235170.59 236.3064 216.2628 0.00717328377 +241138.41 216.1196 200.898 0.00762627039 +247198.43 197.7342 186.6222 0.00926908841 +253308.41 181.5373 173.8188 0.00659059937 +259638.43 164.4765 160.0883 0.00748872486 +265788.41 150.2071 148.3897 0.00208350666 +272037.43 137.1092 137.4296 0.00227683992 +278273.57 125.188 127.2855 0.00335335653 +284503.60 113.698 117.3237 0.00218197159 +291492.61 103.3238 108.1511 0.00303792692 +297458.43 94.417 100.1439 0.00255127419 +303423.62 85.9718 92.4162 0.00298596718 +309208.45 78.2464 85.2341 0.00271459021 +314818.42 71.2578 78.6175 0.00239269722 +320243.49 64.784 72.3895 0.00307652401 +324948.43 61.7625 69.448 0.00221359436 +328838.44 60.1798 67.8927 0.00226737734 diff --git a/calib_data/_calib_data/calib2022-02-21_p0_c6.dat b/calib_data/_calib_data/calib2022-02-21_p0_c6.dat new file mode 100644 index 0000000..6f7efdf --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p0_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +58633.59 33858.19 7452.89 0.246758992 +60935.80 31122.12 7040.73 0.380013158 +121168.42 26853.69 6375.37 0.392950379 +124308.43 21492.68 5484.13 0.320327957 +126503.59 17513.09 4770.649 0.2309435 +128688.44 14506.88 4197.001 0.0910982986 +130891.57 12079.73 3702.645 0.300463808 +133088.41 10150.53 3284.653 0.158650875 +135268.42 8609.53 2930.878 0.0601631116 +137448.43 7334.93 2621.418 0.0892277984 +139628.43 6353.15 2370.308 0.0669447533 +143783.55 5507.87 2143.567 0.0563036411 +145963.58 4822.08 1951.227 0.100876657 +148138.43 4235.696 1778.785 0.0648729528 +150313.84 3748.55 1629.293 0.065223462 +152504.61 3334.777 1496.381 0.029814426 +154683.57 2981.321 1379.166 0.0298730648 +156863.58 2675.697 1273.771 0.015195394 +159038.43 2411.802 1179.758 0.0218997717 +161224.64 2180.292 1094.519 0.0251177228 +163418.44 1980.274 1018.63 0.0392428337 +165603.57 1802.29 948.983 0.0417384715 +167803.58 1644.205 885.31 0.0163095064 +170004.63 1509.724 830.108 0.0164195006 +172198.44 1372.322 771.815 0.022192341 +174415.65 1260.206 723.09 0.0286705424 +176628.45 1159.323 678.158 0.0173666347 +178835.78 1068.558 636.877 0.0254970587 +181058.43 981.643 596.429 0.0223360695 +183298.43 904.508 559.861 0.0233858932 +185547.44 835.803 526.597 0.0206421898 +187812.57 770.902 494.3978 0.00812502308 +190093.62 710.587 464.0717 0.0125475496 +192393.59 654.976 435.4833 0.00990762333 +194753.59 601.961 407.7212 0.00763780073 +197148.44 555.429 382.8879 0.0101118248 +199623.61 510.245 358.3526 0.00872949025 +202173.66 469.5177 335.859 0.00715122367 +204808.42 431.1226 314.1446 0.00792237338 +207556.48 396.1157 293.9809 0.0118822978 +210644.61 363.6573 274.9091 0.00657487642 +214178.42 333.7725 256.9966 0.00907325741 +218344.48 305.8503 239.9566 0.00775912366 +223680.58 280.8787 224.3512 0.00770298643 +229468.44 257.7486 209.6466 0.00524633205 +235261.62 236.2435 195.6834 0.00686323539 +241228.45 216.0874 182.3143 0.00690659105 +247288.43 197.6982 169.8362 0.00672874431 +253398.41 181.5316 158.5792 0.00336689768 +259728.44 164.4631 146.5004 0.00293666477 +265878.41 150.1831 136.1943 0.00383679554 +272128.44 137.0818 126.4886 0.0021872357 +278363.62 125.1633 117.4579 0.00245132617 +284593.64 113.677 108.5735 0.00200624026 +291583.62 103.3115 100.3635 0.00343001458 +297548.43 94.4016 93.1615 0.00339190212 +303513.62 85.9577 86.1938 0.00148189068 +309298.44 78.2302 79.6992 0.00205815451 +314908.42 71.2491 73.7065 0.002228228 +320333.60 64.7722 68.0345 0.0023843238 +325038.42 61.7546 65.3534 0.00220997738 +328928.44 60.1716 63.9387 0.00226737734 diff --git a/calib_data/_calib_data/calib2022-02-21_p1_c1.dat b/calib_data/_calib_data/calib2022-02-21_p1_c1.dat new file mode 100644 index 0000000..32514a9 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p1_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +58748.43 33855.51 22821.67 0.739195509 +61051.55 31099.59 21171.2 1.5118201 +121283.58 26856.24 18609.37 1.27326745 +124423.58 21492.72 15301.96 0.597862861 +126619.43 17512.34 12783.12 0.464284396 +128803.60 14505.53 10839.37 0.264594029 +131007.45 12078.97 9231.09 1.08926122 +133203.58 10151.2 7925.42 0.607420777 +135383.58 8608.08 6857.82 0.230130398 +137563.59 7333.56 5958.18 0.27921318 +141713.60 6354.74 5253.17 0.361676651 +143898.41 5507.86 4630.167 0.0609434164 +146078.43 4822.349 4119.702 0.0642775233 +148253.55 4235.894 3674.073 0.0674099399 +150429.43 3748.694 3297.613 0.0586353136 +152620.57 3334.872 2972.736 0.0496024193 +154798.41 2981.294 2690.458 0.0597795952 +156978.42 2675.551 2443.006 0.0724734434 +159153.51 2411.581 2226.455 0.0771135526 +161340.59 2179.715 2033.754 0.0533329167 +163533.57 1980.146 1865.325 0.0677089359 +165718.42 1802.178 1713.931 0.0481964729 +167919.42 1644.166 1577.214 0.0339764624 +170120.59 1509.808 1460.769 0.0328466132 +172313.60 1372.289 1339.819 0.0122841361 +174531.60 1260.302 1240.428 0.0429837178 +176743.61 1159.286 1150.073 0.0244560831 +178951.58 1068.518 1068.168 0.0239499478 +181174.63 981.619 989.097 0.0206905776 +183413.60 904.606 918.514 0.0235457002 +185663.64 835.728 855.083 0.0395739814 +187928.41 770.87 794.936 0.0218265893 +190208.42 710.611 738.641 0.0230846269 +192508.42 654.848 686.123 0.0283566571 +194868.43 601.851 636.014 0.0163829179 +197263.60 555.363 591.694 0.022054478 +199738.41 510.22 548.296 0.0317867897 +202289.42 469.5156 509.137 0.0176663522 +204923.63 431.1279 471.6024 0.00600533097 +207672.60 396.1238 437.2341 0.0102503171 +210760.57 363.6505 405.0783 0.0102255073 +214293.62 333.7734 375.2693 0.00884313293 +218460.60 305.8748 347.1465 0.00755810823 +223796.42 280.8319 321.6641 0.00664748073 +229584.61 257.6944 297.8932 0.00770298643 +235377.47 236.197 275.5812 0.00688011628 +241345.77 216.0467 254.4376 0.00488917171 +247403.67 197.6581 234.8975 0.00484200372 +253513.61 181.4781 217.5279 0.00552530542 +259843.64 164.4225 199.0013 0.00602834969 +265993.65 150.1395 183.382 0.00928008621 +272243.63 137.0455 168.8167 0.00702858449 +278478.42 125.1358 155.3463 0.00310821492 +284708.44 113.6631 142.2899 0.0027944588 +291698.42 103.3014 130.3501 0.00205645326 +297663.64 94.3801 119.9616 0.00284323759 +303629.43 85.942 110.0254 0.00295702553 +309413.48 78.2195 100.8331 0.00199724811 +315023.50 71.2356 92.4238 0.00283125414 +320448.42 64.7609 84.5481 0.0031351236 +325153.63 61.7483 80.8481 0.00158398232 +329043.64 60.1583 78.8973 0.00270573465 diff --git a/calib_data/_calib_data/calib2022-02-21_p1_c2.dat b/calib_data/_calib_data/calib2022-02-21_p1_c2.dat new file mode 100644 index 0000000..64d1aa7 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p1_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +58838.43 33854.59 13705.76 0.22009089 +61142.60 30844.05 12628.62 49.2482138 +121373.58 26854.94 11421.07 0.594482969 +124513.58 21492.64 9582.33 0.413291665 +126710.59 17512.74 8152.3 0.397492138 +128893.60 14505.09 7028.32 0.304893424 +131098.45 12079.02 6080.88 0.664951126 +133293.57 10150.88 5297.75 0.332039154 +135473.58 8608.71 4646.086 0.112215863 +137654.63 7334.03 4089.548 0.0799474828 +141803.52 6355.05 3646.685 0.14240962 +143988.41 5507.81 3251.366 0.0900244411 +146168.42 4822.152 2922.413 0.0745258344 +148343.59 4235.64 2631.91 0.043451122 +150520.60 3748.605 2383.497 0.0890398787 +152711.57 3334.594 2166.935 0.109820308 +154888.41 2981.121 1977.413 0.110671134 +157068.42 2675.475 1809.124 0.0697595872 +159243.59 2411.513 1660.63 0.0773950903 +161431.60 2179.943 1526.98 0.0470319041 +163624.60 1980.059 1409.83 0.0338526218 +165808.41 1802.214 1303.279 0.0380381388 +168010.58 1644.406 1206.95 0.0338526218 +170211.59 1509.854 1124.046 0.0130537351 +172404.64 1372.338 1037.34 0.0250599282 +174622.60 1260.301 965.523 0.0211683726 +176833.57 1159.298 899.824 0.0167451486 +179042.58 1068.573 840.021 0.0191023559 +181265.79 981.626 781.934 0.0200599103 +183503.59 904.573 729.68 0.0377888873 +185754.60 835.711 682.52 0.0222261108 +188018.41 770.894 637.505 0.031503968 +190298.42 710.655 595.19 0.0215870331 +192598.43 654.838 555.558 0.0256046871 +194958.43 601.821 517.412 0.0317742034 +197354.60 555.42 483.4395 0.0137922079 +199828.45 510.19 450.1579 0.00660371108 +202380.58 469.5074 419.9195 0.00882751381 +205013.63 431.1382 390.9251 0.0054377385 +207763.64 396.1423 364.1449 0.00678888798 +210851.61 363.638 338.9653 0.00721810224 +214384.63 333.7566 315.5314 0.00976647326 +218551.64 305.8834 293.336 0.00776788259 +223887.42 280.8096 273.0981 0.0068606851 +229675.64 257.6523 254.1622 0.00737807563 +235468.42 236.1604 236.3197 0.00772146359 +241436.41 216.025 219.352 0.00696132171 +247494.51 197.6306 203.6048 0.0113673216 +253604.61 181.4447 189.5333 0.0080000625 +259933.64 164.3736 174.4779 0.0085093478 +266083.62 150.1134 161.7236 0.00926951994 +272333.60 137.0202 149.7149 0.00259403161 +278568.42 125.1129 138.6794 0.00175613211 +284798.44 113.6512 127.8869 0.00352831404 +291788.41 103.2908 117.997 0.00242487113 +297754.48 94.3698 109.3396 0.00295702553 +303720.58 85.9291 101.0463 0.00260403533 +309503.60 78.2107 93.3473 0.00328952884 +315113.62 71.2265 86.2944 0.00209857094 +320538.45 64.7542 79.6646 0.00436394317 +325244.62 61.7421 76.5513 0.00264971697 +329134.64 60.1519 74.9064 0.00194525063 diff --git a/calib_data/_calib_data/calib2022-02-21_p1_c4.dat b/calib_data/_calib_data/calib2022-02-21_p1_c4.dat new file mode 100644 index 0000000..24e4120 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p1_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +58928.42 33845.76 17914.51 0.415559863 +61233.55 30717.84 16561.26 3.44125558 +121463.58 26849.3 14750.57 0.541857915 +124603.58 21492.15 12232.59 0.653827194 +126801.59 17511.67 10297.56 0.571699222 +128983.60 14505.4 8793.41 0.365362833 +131188.41 12079.64 7539.5 0.771362431 +133383.53 10150.81 6511.65 0.50680371 +135563.58 8608.87 5668.44 0.249479458 +137745.79 7334.6 4950.531 0.170871004 +141893.57 6355.99 4385.04 0.10254755 +144078.41 5507.64 3884.541 0.094439928 +146258.42 4822.22 3470.903 0.0714709731 +148433.58 4235.835 3108.303 0.0777823888 +150611.60 3748.735 2800.159 0.0628402737 +152802.54 3334.58 2533.386 0.0988048582 +154978.42 2981.252 2300.676 0.073283013 +157158.42 2675.235 2095.918 0.056987718 +159334.63 2411.295 1915.77 0.0801872808 +161522.60 2180.002 1755.302 0.0755751282 +163715.73 1979.965 1614.217 0.0753664382 +165898.46 1802.28 1486.704 0.02665333 +168101.58 1644.462 1372.085 0.0397303411 +170302.55 1509.858 1273.8 0.0298998328 +172495.64 1372.351 1171.387 0.0295989865 +174713.64 1260.262 1086.909 0.0194653538 +176923.57 1159.279 1010.07 0.0189208879 +179133.58 1068.625 940.135 0.0312809846 +181356.47 981.624 872.583 0.0204474937 +183594.60 904.528 812.111 0.0181906569 +185845.65 835.74 757.53 0.0183847763 +188108.41 770.919 705.746 0.0169823438 +190388.42 710.617 657.109 0.0165196852 +192688.43 654.797 611.761 0.0306414752 +195048.44 601.812 568.247 0.0148357676 +197445.65 555.413 529.69 0.0114017543 +199919.41 510.223 491.8179 0.00945140201 +202471.62 469.5132 457.6041 0.00644585138 +205103.63 431.1207 424.8462 0.00541811775 +207854.48 396.1351 394.7147 0.0129538025 +210942.49 363.6211 366.4315 0.00611432744 +214475.70 333.7564 340.1866 0.00607815762 +218642.48 305.8919 315.3934 0.00553389555 +223978.42 280.7757 292.7934 0.00931793969 +229766.44 257.6187 271.7083 0.00485190684 +235558.43 236.1177 251.8911 0.00563817346 +241528.48 215.9965 233.0772 0.00597461296 +247585.83 197.5817 215.6623 0.00685572753 +253695.66 181.4047 200.1318 0.00678203509 +260023.60 164.3449 183.5377 0.0061058169 +266174.62 150.0851 169.5099 0.0100523132 +272423.64 137.0015 156.3395 0.00237170825 +278658.41 125.0945 144.2409 0.00315737233 +284888.44 113.6302 132.4212 0.00362987603 +291878.41 103.2804 121.6023 0.0022805701 +297845.80 94.3523 112.1452 0.00316164514 +303811.62 85.9192 103.0847 0.00169144908 +309594.48 78.2005 94.6877 0.00199022612 +315203.51 71.2174 86.9778 0.00203371581 +320629.41 64.7427 79.7508 0.00307180729 +325335.78 61.7269 76.3406 0.0027971414 +329225.80 60.143 74.5389 0.00247971773 diff --git a/calib_data/_calib_data/calib2022-02-21_p1_c5.dat b/calib_data/_calib_data/calib2022-02-21_p1_c5.dat new file mode 100644 index 0000000..518ee3d --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p1_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +59018.43 34240.89 10317.89 12.6884944 +61323.61 30799.83 9627.51 0.898493183 +121553.58 26850.98 8710.54 0.391714182 +124693.59 21493.4 7399.82 0.243228288 +126891.60 17510.87 6367.31 0.318260899 +129073.60 14505.64 5545.75 0.200624026 +131278.41 12080.61 4843.761 0.213670073 +133473.58 10150.7 4258.211 0.134888472 +135653.59 8608.73 3766.936 0.102870793 +137836.43 7334.52 3342.68 0.103894177 +141983.61 6355.42 3001.962 0.0923991342 +144168.42 5508.01 2694.64 0.0735391052 +146348.42 4822.423 2437.462 0.0736179326 +148523.55 4236.03 2207.915 0.0571358031 +150702.60 3748.614 2010.572 0.0647580111 +152892.61 3334.791 1837.495 0.0501647286 +155068.41 2981.372 1684.62 0.0560713831 +157248.42 2675.372 1547.621 0.0321387616 +159425.79 2411.237 1426.568 0.028628657 +161613.60 2180.005 1317.51 0.0415451562 +163806.44 1980.179 1220.961 0.0177454219 +165989.42 1802.218 1132.859 0.0219749858 +168192.58 1644.217 1052.676 0.0279356403 +170392.59 1509.794 983.3 0.0256124969 +172586.48 1372.301 910.553 0.0292591866 +174804.64 1260.305 850.023 0.0169735088 +177013.58 1159.294 794.409 0.0261705942 +179223.58 1068.55 743.557 0.0215893492 +181447.43 981.634 693.962 0.0239081576 +183685.76 904.53 649.236 0.0176181724 +185936.48 835.742 608.63 0.0156204994 +188198.41 770.904 569.836 0.0262373779 +190478.41 710.579 533.143 0.024333105 +192778.42 654.858 498.5456 0.0102685929 +195138.44 601.852 465.3592 0.00974658915 +197536.45 555.394 435.7071 0.00521238909 +200010.57 510.258 406.5139 0.00901271324 +202562.62 469.5067 379.85 0.00786638418 +205193.63 431.1194 354.2368 0.00687284512 +207945.80 396.131 330.5315 0.00914576405 +211033.61 363.6096 308.1337 0.00700435579 +214566.46 333.7598 287.2458 0.00785977099 +218732.60 305.9072 267.4395 0.00566965607 +224069.42 280.7385 249.2208 0.00567591402 +229857.56 257.5797 232.1943 0.00562147667 +235648.43 236.0833 216.1147 0.00866723716 +241619.45 215.9532 200.778 0.00661513416 +247676.48 197.5444 186.5036 0.0102266319 +253786.45 181.3724 173.6972 0.0103487197 +260113.64 164.3406 159.9749 0.00586080199 +266265.78 150.0655 148.2583 0.00116661905 +272513.64 136.9823 137.3215 0.00349070194 +278748.39 125.0773 127.1873 0.00235817726 +284978.44 113.6053 117.2394 0.00277560804 +291968.42 103.2713 108.1041 0.00206131026 +297936.48 94.335 100.0675 0.00280089271 +303902.62 85.9083 92.3549 0.00285114012 +309685.77 78.1878 85.1706 0.00277560804 +315293.63 71.2071 78.5678 0.00296580512 +320720.61 64.734 72.3448 0.00251316533 +325426.42 61.7204 69.4113 0.00139319776 +329316.48 60.1339 67.8494 0.0027971414 diff --git a/calib_data/_calib_data/calib2022-02-21_p1_c6.dat b/calib_data/_calib_data/calib2022-02-21_p1_c6.dat new file mode 100644 index 0000000..d8d8687 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p1_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +59108.43 34326.95 7521.41 6.07930012 +61413.60 30723.68 6980.28 0.541811775 +121643.51 26856.36 6375.13 0.173810241 +124783.58 21493.06 5483.31 0.345673256 +126982.60 17511.94 4770.744 0.187014438 +129164.64 14505.27 4196.738 0.142525787 +131368.41 12079.51 3702.795 0.354136273 +133563.57 10149.79 3284.364 0.105035232 +135743.58 8609.32 2930.594 0.0664560005 +137927.43 7334.19 2621.504 0.107844332 +142074.65 6355.45 2371.046 0.116963242 +144258.42 5507.76 2143.589 0.0408276867 +146438.42 4822.185 1951.29 0.106573918 +148613.59 4236.106 1778.817 0.0866031177 +150793.60 3748.472 1629.367 0.0550645076 +152983.57 3334.993 1496.481 0.0288600069 +155158.41 2981.256 1379.101 0.0138166566 +157338.43 2675.704 1273.901 0.0254735157 +159516.51 2411.314 1179.748 0.0339057517 +161703.60 2180.086 1094.527 0.0243741667 +163897.45 1980.383 1018.648 0.0177651344 +166080.58 1802.303 949.011 0.0296799596 +168283.58 1644.069 885.333 0.0262316603 +170483.59 1509.785 830.165 0.038839413 +172677.43 1372.341 771.804 0.0332625916 +174895.77 1260.281 723.086 0.0172162714 +177103.58 1159.301 678.136 0.0205523721 +179313.58 1068.476 636.864 0.0176748409 +181538.43 981.593 596.451 0.0208542562 +183782.56 904.538 559.837 0.0258089132 +186027.44 835.695 526.582 0.0118152444 +188288.41 770.92 494.4207 0.00556066543 +190568.42 710.596 464.0139 0.00902380186 +192868.43 654.891 435.4749 0.00930747012 +195228.44 601.932 407.7297 0.00740412047 +197627.44 555.405 382.9052 0.00913542555 +200101.61 510.261 358.3316 0.00524061065 +202653.62 469.485 335.8453 0.00927043688 +205283.63 431.128 314.1612 0.00706937055 +208036.48 396.1241 293.9819 0.00769473846 +211123.61 363.6197 274.8743 0.00981534513 +214657.42 333.7369 256.9734 0.00870080456 +218823.64 305.9287 239.9896 0.00737861776 +224160.58 280.7124 224.2776 0.00543911758 +229948.45 257.5399 209.5254 0.00963140696 +235738.43 236.0573 195.5608 0.00675988166 +241710.57 215.9279 182.209 0.00842970937 +247767.43 197.5112 169.7325 0.0105548567 +253877.41 181.3477 158.4689 0.00313831165 +260203.64 164.3211 146.3975 0.0012349089 +266356.46 150.0437 136.0902 0.00269369635 +272603.64 136.9608 126.3923 0.00270203627 +278838.42 125.0567 117.3797 0.00233259512 +285068.44 113.5865 108.4995 0.00245051015 +292058.42 103.2639 100.3234 0.00235031913 +298027.44 94.3228 93.0977 0.00153003268 +303993.62 85.8937 86.147 0.00273495887 +309776.45 78.1808 79.6508 0.00245682722 +315383.62 71.1937 73.6576 0.0019193749 +320811.64 64.7297 67.995 0.00339411255 +325517.43 61.7141 65.3183 0.00265348827 +329407.44 60.1273 63.8999 0.00280873637 diff --git a/calib_data/_calib_data/calib2022-02-21_p2_c1.dat b/calib_data/_calib_data/calib2022-02-21_p2_c1.dat new file mode 100644 index 0000000..493a80d --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p2_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +59223.59 33860.62 22808.31 2.54049011 +61529.43 30610.46 20890.63 3.74526501 +122708.42 26841.16 18601.1 0.360555128 +124898.43 21491.64 15302.12 0.763125154 +127098.43 17513.82 12782.35 0.460488871 +129280.56 14505.8 10838.33 0.45826848 +131483.57 12081.95 9232.46 0.79312042 +133678.42 10150.2 7924.82 0.473455383 +135858.43 8608.61 6858.83 0.25221023 +138043.64 7335.1 5958.16 0.217807254 +142190.61 6354.95 5252.7 0.227156334 +144373.58 5507.56 4630.072 0.109725111 +146553.58 4822.254 4119.524 0.0581755963 +148728.43 4235.905 3674.046 0.0747823509 +150909.43 3748.702 3297.455 0.106077802 +153098.44 3334.847 2972.308 0.0609885235 +155273.57 2981.407 2690.808 0.0407872529 +157453.58 2675.783 2443.058 0.055530172 +159632.60 2411.352 2226.203 0.0545353097 +161818.44 2179.974 2034.112 0.124754158 +164013.57 1979.845 1865.666 0.0869965517 +166196.41 1802.18 1714.139 0.0903709024 +168398.42 1644.104 1577.193 0.0408178882 +170598.43 1509.914 1460.932 0.0257992248 +172793.60 1372.326 1339.921 0.0357617114 +175011.60 1260.27 1240.426 0.0119331471 +177218.41 1159.343 1150.066 0.0242981481 +179428.42 1068.577 1068.158 0.024240462 +181653.59 981.588 989.15 0.0201990099 +183898.43 904.583 918.468 0.0329180801 +186143.48 835.733 855.09 0.0240416306 +188403.49 770.873 794.885 0.0244233495 +190683.62 710.612 738.615 0.0277218326 +192983.62 654.806 686.137 0.0206905776 +195343.64 601.862 635.953 0.0241267486 +197743.61 555.348 591.616 0.0246657657 +200217.42 510.214 548.344 0.0202089089 +202768.42 469.4915 509.156 0.0181769084 +205398.43 431.1146 471.5773 0.0081363997 +208152.60 396.1299 437.2305 0.00784378735 +211238.41 363.6332 405.0566 0.00831288157 +214773.62 333.7247 375.2182 0.00893286068 +218938.44 305.936 347.1984 0.00957099786 +224276.46 280.704 321.5243 0.00731853811 +230064.48 257.5036 297.7057 0.00789183122 +235854.63 236.016 275.3788 0.00790544116 +241826.45 215.8931 254.2713 0.00478131781 +247883.67 197.5057 234.7287 0.00683820152 +253993.61 181.3087 217.3621 0.0076111103 +260318.44 164.2646 198.8458 0.00833882486 +266472.62 150.01 183.2494 0.00973776155 +272718.43 136.9271 168.6832 0.0100247693 +278953.62 125.0366 155.2381 0.00247568172 +285183.64 113.5726 142.1801 0.00105309069 +292173.62 103.2497 130.2897 0.0022407588 +298143.48 94.3103 119.8823 0.00271679959 +304108.43 85.8791 109.9545 0.00173925271 +309892.61 78.1686 100.7674 0.00302390476 +315499.43 71.1894 92.3695 0.0025622256 +320927.41 64.7273 84.4953 0.00178913387 +325633.62 61.7119 80.8057 0.00280731188 +329523.48 60.123 78.8491 0.00210451895 diff --git a/calib_data/_calib_data/calib2022-02-21_p2_c2.dat b/calib_data/_calib_data/calib2022-02-21_p2_c2.dat new file mode 100644 index 0000000..6e176c9 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p2_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +59314.62 33791.82 13683.53 0.274972726 +61620.60 30458.41 12609.84 3.36072016 +122798.42 26841.98 11416.7 0.38704005 +124988.43 21493.8 9582.96 0.315023809 +127188.44 17514.49 8152.6 0.207364414 +129371.60 14505.15 7028.47 0.209785605 +131573.57 12080.29 6081.17 0.623225481 +133768.42 10150.4 5297.27 0.337357377 +135948.42 8608.87 4646.047 0.172308154 +138133.55 7334.97 4089.408 0.0984662379 +142281.56 6355.31 3646.804 0.102099951 +144463.58 5507.75 3251.204 0.0873864978 +146643.58 4822.272 2922.387 0.0434292528 +148818.39 4235.94 2631.854 0.0825614922 +151000.60 3748.616 2383.398 0.0883153441 +153188.41 3334.859 2167.296 0.108038882 +155363.58 2981.331 1977.376 0.0646095968 +157543.58 2675.579 1809.282 0.0568999121 +159723.60 2411.488 1660.651 0.0709711209 +161908.44 2179.999 1526.805 0.0521008637 +164103.56 1980.156 1409.781 0.0339543812 +166287.41 1802.198 1303.327 0.0172075565 +168488.42 1644.122 1206.978 0.0335797558 +170688.42 1509.916 1124.09 0.0180554701 +172884.56 1372.32 1037.363 0.0215893492 +175102.60 1260.189 965.551 0.0293069958 +177308.41 1159.262 899.768 0.0303578655 +179518.42 1068.56 839.984 0.0204548283 +181743.59 981.634 781.921 0.0241018671 +183988.44 904.539 729.648 0.0196367003 +186233.49 835.756 682.471 0.0147952695 +188493.61 770.901 637.586 0.024132965 +190773.62 710.542 595.143 0.0221833271 +193073.63 654.785 555.521 0.0219749858 +195434.48 601.902 517.44 0.0197484177 +197834.49 555.372 483.4166 0.0127892142 +200308.42 510.278 450.1406 0.00895678514 +202858.42 469.4832 419.8937 0.00767990885 +205488.43 431.1189 390.8957 0.0089196973 +208243.64 396.1134 364.1402 0.00810900734 +211328.41 363.6482 338.9748 0.00673320132 +214864.63 333.7296 315.4807 0.00925316162 +219028.45 305.9546 293.3778 0.00568999121 +224367.42 280.7027 273.0105 0.00613392207 +230155.64 257.4732 253.998 0.00775757694 +235945.78 235.9884 236.2003 0.00817074048 +241917.40 215.8723 219.2172 0.00604780952 +247974.51 197.4829 203.4795 0.00697172862 +254084.62 181.2778 189.4239 0.00756894973 +260408.44 164.244 174.3428 0.00764696018 +266563.61 149.9807 161.6077 0.00743511937 +272808.43 136.9141 149.6169 0.00248777009 +279043.62 125.0259 138.5917 0.00159405144 +285274.64 113.5521 127.7995 0.00278298401 +292264.62 103.2437 117.945 0.00350142828 +298233.65 94.2951 109.2758 0.00316796465 +304198.42 85.8687 100.9903 0.00183330303 +309983.60 78.1626 93.3005 0.00302076149 +315590.59 71.184 86.2514 0.00264650713 +321018.45 64.7165 79.6334 0.00219180291 +325723.63 61.7076 76.5174 0.00158240324 +329613.48 60.1207 74.8715 0.00136565003 diff --git a/calib_data/_calib_data/calib2022-02-21_p2_c4.dat b/calib_data/_calib_data/calib2022-02-21_p2_c4.dat new file mode 100644 index 0000000..fbb49f9 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p2_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +59405.75 33780.2 17885.62 0.310096759 +61711.60 30260.97 16305.45 4.8677767 +122888.42 26840.69 14743.03 0.298680431 +125078.43 21494.65 12232.32 0.639186984 +127278.44 17513.35 10297.22 0.540888158 +129462.57 14504.83 8793.14 0.619870954 +131663.57 12078.78 7539.13 0.534612009 +133858.42 10150.27 6512.44 0.453916292 +136038.43 8608.55 5668.09 0.249178651 +138223.60 7335.04 4950.674 0.163610513 +142372.77 6355.58 4385.883 0.067276296 +144553.62 5507.71 3884.397 0.0892418063 +146733.58 4822.209 3471.006 0.09695566 +148908.43 4236 3108.049 0.0639601438 +151091.60 3748.667 2800.344 0.0543727873 +153278.40 3334.661 2533.166 0.0801273986 +155453.57 2981.271 2300.684 0.11016533 +157633.58 2675.311 2095.838 0.0743343797 +159813.59 2411.559 1915.851 0.0565588189 +161998.44 2179.93 1755.271 0.04306855 +164193.60 1980.132 1614.455 0.0798404659 +166378.42 1802.369 1486.724 0.0391969387 +168578.42 1644.223 1372.037 0.0224521714 +170778.43 1509.83 1273.855 0.0213190056 +172975.64 1372.362 1171.473 0.0217278623 +175193.56 1260.139 1086.977 0.0136418474 +177398.42 1159.283 1010.073 0.0276785115 +179608.42 1068.492 940.206 0.0209857094 +181833.59 981.588 872.582 0.0296580512 +184078.43 904.518 812.078 0.0218082553 +186323.61 835.802 757.598 0.0280642121 +188583.62 770.893 705.715 0.0264669605 +190863.62 710.542 657.079 0.0147275253 +193164.63 654.828 611.763 0.0195984693 +195525.80 601.856 568.213 0.0302340867 +197925.77 555.409 529.707 0.030101495 +200399.42 510.273 491.8029 0.00880164757 +202948.42 469.485 457.5555 0.0046222289 +205578.43 431.1252 424.8488 0.0100097952 +208334.48 396.0998 394.7111 0.00765173183 +211418.45 363.6335 366.4502 0.00705237549 +214956.07 333.7315 340.158 0.00730342385 +219118.45 305.9559 315.4556 0.0121170954 +224458.42 280.707 292.7296 0.00314388295 +230246.49 257.4369 271.5368 0.00509666558 +236037.42 235.9632 251.7593 0.00693116152 +242008.41 215.8486 232.9569 0.00748257977 +248065.80 197.4491 215.5285 0.00982471374 +254175.65 181.2557 200.0053 0.00576203089 +260498.43 164.2288 183.4097 0.00524032442 +266653.61 149.9627 169.4001 0.00719923607 +272898.44 136.9036 156.2336 0.00178437664 +279133.61 125.007 144.1437 0.00237507895 +285365.64 113.5367 132.3322 0.00303578655 +292355.78 103.2344 121.5504 0.0020746084 +298323.48 94.2872 112.0742 0.00241163845 +304288.42 85.8609 103.0274 0.0020356817 +310074.61 78.153 94.6304 0.00221449769 +315681.62 71.1762 86.9352 0.00197888858 +321109.44 64.7078 79.7155 0.00191963538 +325813.63 61.7009 76.3078 0.00203371581 +329703.60 60.1144 74.5101 0.00199223493 diff --git a/calib_data/_calib_data/calib2022-02-21_p2_c5.dat b/calib_data/_calib_data/calib2022-02-21_p2_c5.dat new file mode 100644 index 0000000..b5e811d --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p2_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +59496.47 33775.98 10297.81 0.281229444 +61802.55 29975.84 9445.55 4.30079644 +122978.42 26841.93 8706.77 0.234542107 +125168.43 21492.99 7400.37 0.402753026 +127368.43 17510.59 6367.73 0.295989865 +129553.56 14505.57 5545.56 0.521190944 +131753.57 12078.63 4843.831 0.364289583 +133948.42 10150.37 4257.924 0.194798357 +136128.42 8608.72 3767.195 0.104806965 +138313.60 7334.67 3342.387 0.0989853525 +142463.61 6355.47 3001.951 0.0799681186 +144644.58 5507.4 2694.859 0.0552711498 +146823.55 4822.229 2437.205 0.0743538836 +148998.43 4235.976 2208.031 0.0687669979 +151182.61 3748.573 2010.753 0.0538525765 +153368.41 3334.821 1837.467 0.0956352445 +155543.57 2981.325 1684.452 0.0475562824 +157723.63 2675.271 1547.64 0.04580393 +159903.59 2411.61 1426.64 0.0171464282 +162088.44 2179.719 1317.441 0.0295448811 +164284.65 1980.075 1220.845 0.0336823396 +166468.41 1802.258 1132.805 0.0212720474 +168668.42 1644.376 1052.675 0.0323805497 +170868.43 1509.773 983.37 0.0244131112 +173066.48 1372.327 910.539 0.0324792241 +175283.57 1260.116 849.992 0.0203371581 +177488.41 1159.295 794.381 0.0162141913 +179698.42 1068.542 743.5 0.0254950976 +181923.58 981.624 693.933 0.0159405144 +184168.44 904.444 649.234 0.019089264 +186413.61 835.785 608.595 0.0208925824 +188673.62 770.88 569.835 0.0213658606 +190953.62 710.623 533.153 0.0226296266 +193255.79 654.923 498.5936 0.0136185168 +195616.47 601.847 465.3238 0.00926477199 +198016.44 555.399 435.6992 0.0085085839 +200490.57 510.281 406.5055 0.00977880361 +203038.42 469.4844 379.8555 0.00829849384 +205668.43 431.1096 354.2547 0.00918373562 +208425.64 396.0985 330.5069 0.00719645746 +211509.41 363.6261 308.1458 0.00638090903 +215047.43 333.7248 287.2337 0.00652387921 +219208.45 305.9595 267.4777 0.00820737473 +224548.42 280.6994 249.2049 0.00640694935 +230337.45 257.4104 232.0852 0.00684222186 +236128.43 235.9318 215.9893 0.00920874584 +242099.45 215.8285 200.6566 0.00605508051 +248156.43 197.4299 186.3895 0.00695880737 +254266.46 181.2441 173.6019 0.0104761157 +260588.44 164.21 159.8714 0.0115889603 +266743.62 149.9505 148.1709 0.00177454219 +272988.44 136.8859 137.2455 0.00208446636 +279223.62 124.989 127.1119 0.00284763059 +285456.47 113.5257 117.1657 0.00202014851 +292446.42 103.2268 108.067 0.00212602916 +298413.48 94.2819 100.0147 0.00324052465 +304378.42 85.8564 92.3039 0.00321698617 +310165.64 78.1423 85.1339 0.00332400361 +315772.62 71.1686 78.53 0.00206881609 +321200.57 64.7095 72.3106 0.00316291005 +325903.62 61.6948 69.3807 0.00219567757 +329793.60 60.1109 67.8274 0.0018984204 diff --git a/calib_data/_calib_data/calib2022-02-21_p2_c6.dat b/calib_data/_calib_data/calib2022-02-21_p2_c6.dat new file mode 100644 index 0000000..a6fead0 --- /dev/null +++ b/calib_data/_calib_data/calib2022-02-21_p2_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +59587.43 33763.54 7438.29 0.241018671 +61893.60 29610.18 6806.5 2.66319357 +123068.43 26842.34 6372.27 0.190289254 +125258.42 21489.86 5483.73 0.267600448 +127458.44 17511.96 4770.745 0.197444929 +129644.64 14505.85 4196.998 0.126457898 +131844.57 12078.77 3702.648 0.347271652 +134038.42 10150.48 3284.571 0.149227678 +136218.42 8609.76 2930.732 0.107886978 +138403.60 7334.57 2621.534 0.0975622878 +142553.61 6355.48 2371.035 0.0503040754 +144735.70 5507.25 2143.576 0.071891585 +146913.58 4821.902 1951.344 0.0520615021 +149088.43 4235.846 1778.823 0.0592292158 +151273.60 3748.377 1629.092 0.0823626129 +153458.45 3334.95 1496.511 0.0408276867 +155633.58 2981.225 1379.068 0.0239081576 +157814.62 2675.371 1273.749 0.0313831165 +159993.59 2411.791 1179.753 0.0297338191 +162178.44 2179.99 1094.528 0.0247305479 +164375.77 1980.242 1018.515 0.0310241841 +166558.42 1802.2 949.016 0.0323790055 +168758.42 1644.379 885.401 0.0230846269 +170958.42 1509.753 830.125 0.0189340962 +173157.44 1372.255 771.756 0.0187189743 +175374.60 1260.148 723.048 0.0297926165 +177578.41 1159.284 678.134 0.0214102779 +179788.42 1068.504 636.827 0.0286373881 +182013.59 981.624 596.514 0.0196061215 +184258.44 904.397 559.872 0.0188573593 +186504.49 835.709 526.597 0.0137149553 +188763.61 770.974 494.4246 0.00923818164 +191043.62 710.592 464.0303 0.00868913114 +193346.47 654.955 435.4461 0.00994228344 +195707.43 601.877 407.7101 0.00642565172 +198107.41 555.419 382.8893 0.0122409558 +200581.62 510.286 358.337 0.00605970296 +203128.42 469.4902 335.856 0.00604317797 +205758.43 431.0935 314.1352 0.00981203343 +208516.44 396.0886 293.9691 0.00763079288 +211600.58 363.6253 274.8928 0.00504737556 +215138.43 333.7144 256.9813 0.00568691481 +219298.45 305.9564 240.0117 0.00461530064 +224638.42 280.6897 224.2536 0.0048583948 +230428.45 257.3884 209.4126 0.00731600984 +236218.43 235.9033 195.4533 0.0104067766 +242190.57 215.7952 182.1032 0.00422563605 +248247.43 197.4116 169.6342 0.00530810701 +254357.42 181.2358 158.3848 0.00245275355 +260678.44 164.1863 146.3155 0.00276495931 +266833.62 149.9353 136.0158 0.00228823076 +273078.44 136.8655 126.3301 0.00267001873 +279313.62 124.9701 117.3144 0.00294006803 +285547.44 113.5084 108.4404 0.00236304888 +292537.42 103.2188 100.2903 0.00295989865 +298503.48 94.2677 93.057 0.0029189039 +304468.43 85.8466 86.1038 0.00222620754 +310256.41 78.1343 79.6126 0.0022009089 +315863.63 71.1612 73.629 0.00284604989 +321291.61 64.7019 67.9718 0.00262602361 +325993.63 61.6917 65.3007 0.00262316603 +329883.64 60.1059 63.8754 0.00194010309 diff --git a/calib_data/_calib_data/calib2022-03-08_p0_c1.dat b/calib_data/_calib_data/calib2022-03-08_p0_c1.dat new file mode 100644 index 0000000..8ae103f --- /dev/null +++ b/calib_data/_calib_data/calib2022-03-08_p0_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64512.57 31677.8 9975.23 0.226737734 +66398.41 31375.57 9892.79 0.20709901 +68102.58 26878.95 8680.6 0.327414111 +69807.43 21532.01 7199.96 0.24132965 +72145.80 17516.37 6053.66 0.265781865 +77090.58 14509.93 5170.94 0.864430448 +78691.58 12086.99 4436.522 0.263236776 +80281.58 10158.59 3838.405 0.236665376 +81870.59 8617.84 3347.611 0.180750934 +83444.64 7345.06 2931.781 0.109703692 +85020.60 6363.05 2603.998 0.117164841 +86597.44 5512.69 2313.651 0.0901271324 +88178.41 4826.668 2074.883 0.0432908766 +89754.66 4239.135 1865.962 0.0449399599 +91328.42 3751.193 1688.928 0.0977220548 +92908.43 3337.104 1535.514 0.0294686274 +94487.43 2983.319 1402.797 0.0255362487 +96063.63 2677.116 1286.023 0.0330166625 +97641.59 2412.992 1183.795 0.0332941436 +99218.44 2181.511 1092.786 0.0263514705 +100810.61 1981.43 1013.112 0.0264121184 +102400.57 1802.463 940.898 0.0280998221 +103988.42 1644.404 876.222 0.0136967149 +105580.59 1510.054 820.761 0.0181356003 +107175.74 1372.541 762.953 0.0145636534 +108768.43 1260.578 715.187 0.0221833271 +110353.55 1159.717 671.619 0.0161523992 +111943.60 1068.947 631.746 0.0197078664 +113528.44 981.818 592.906 0.0127436259 +115125.80 904.637 557.884 0.0223696223 +118482.57 835.549 525.935 0.0234200769 +120077.41 770.792 495.2934 0.0116277255 +121673.54 710.723 466.2807 0.0136022425 +123373.59 654.862 438.782 0.0102898008 +125138.43 601.848 411.9986 0.0106997196 +126915.79 555.347 387.9401 0.0074665253 +128697.44 510.235 363.9482 0.0133804335 +130589.41 469.5048 341.8276 0.00652870584 +132553.57 431.1351 320.3187 0.00756709984 +134690.58 396.1402 300.192 0.00686148672 +137019.43 363.7383 281.0304 0.00455894725 +140083.56 334.1309 263.1201 0.00743834659 +143890.58 305.988 245.6549 0.0074905941 +146767.43 280.8579 229.6455 0.00676054732 +151503.57 257.8815 214.6734 0.0131249381 +156608.43 236.3307 200.3185 0.00697316284 +161735.73 216.2762 186.6602 0.00411776638 +167040.59 197.8132 173.7902 0.00751505156 +172520.56 181.4678 162.1881 0.00792899741 +178014.62 164.4935 149.7885 0.0025622256 +183498.44 150.1316 139.1553 0.00306936476 +188977.46 137.0353 129.2138 0.00271587923 +194464.63 125.0998 119.9748 0.00336689768 +199954.48 113.5933 110.8696 0.0020356817 +207315.79 103.0988 102.3936 0.0022054478 +212436.44 94.3077 95.1535 0.000815475322 +217379.42 85.9012 88.098 0.00261533937 +222311.57 78.1107 81.4433 0.00337060825 +226863.59 71.0718 75.2909 0.00317946536 +231224.64 64.6154 69.5492 0.00219453868 +234865.74 61.6351 66.8536 0.00253456111 +238116.47 60.035 65.4045 0.00250699023 diff --git a/calib_data/_calib_data/calib2022-03-08_p0_c4.dat b/calib_data/_calib_data/calib2022-03-08_p0_c4.dat new file mode 100644 index 0000000..9e2b521 --- /dev/null +++ b/calib_data/_calib_data/calib2022-03-08_p0_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64603.57 31677.46 11472.43 0.389371288 +66488.41 31375.52 11375.63 0.33288136 +68193.62 26879.65 9943.36 0.302720994 +69898.43 21533.17 8203.63 0.184959455 +72236.48 17515.75 6862.79 0.297808663 +77181.58 14511.2 5834.62 1.29698111 +78782.58 12087.98 4985.313 0.471302557 +80372.58 10158.94 4295.612 0.225130185 +81961.59 8618.15 3731.814 0.176245284 +83535.80 7345.59 3257.126 0.126215688 +85111.60 6363.63 2883.211 0.0643187375 +86688.45 5513.26 2553.46 0.0648536815 +88268.45 4826.637 2283.251 0.111089603 +89845.73 4239.296 2047.471 0.0445522166 +91418.42 3751.207 1848.374 0.0558068096 +92998.42 3337.178 1676.758 0.0866579483 +94578.42 2983.409 1527.818 0.0334604244 +96154.67 2677.418 1397.478 0.0271955879 +97732.60 2413.132 1283.685 0.0290602822 +99308.44 2181.552 1182.586 0.03191238 +100901.61 1981.667 1094.283 0.0346135811 +102491.57 1802.663 1014.391 0.0271090391 +104078.41 1644.46 942.971 0.0220658107 +105671.58 1510.12 881.896 0.0221900879 +107266.43 1372.561 818.376 0.0209857094 +108858.42 1260.592 766.004 0.0177313282 +110443.59 1159.732 718.203 0.0227178344 +112033.59 1068.901 674.65 0.0177763888 +113618.43 981.872 632.296 0.0292984641 +115216.44 904.657 594.056 0.0252665787 +118573.57 835.602 559.394 0.02079423 +120168.41 770.825 526.189 0.021883784 +121763.58 710.73 494.604 0.00482493523 +123464.62 654.943 464.8598 0.0102389453 +125228.43 601.919 435.917 0.013604411 +127006.48 555.387 409.9215 0.00987749968 +128788.44 510.242 384.089 0.00823893197 +130680.57 469.5164 360.2978 0.00815941174 +132644.61 431.1389 337.1684 0.00747422237 +134781.59 396.1376 315.5745 0.00940983528 +137110.59 363.7251 295.0716 0.00911065311 +140173.61 334.1032 275.8782 0.00642619639 +143981.58 305.9926 257.2337 0.00675877208 +146858.43 280.8365 240.1469 0.00595222647 +151593.58 257.8363 224.1823 0.00867185101 +156698.43 236.2908 208.9171 0.00830475767 +161826.44 216.2435 194.3976 0.00731737658 +167131.58 197.7708 180.7208 0.00579793067 +172611.57 181.4466 168.4148 0.0112949546 +178105.79 164.4871 155.2705 0.00238012605 +183588.44 150.1059 144.0298 0.00312985623 +189068.42 137.0183 133.5237 0.00203494472 +194555.80 125.0684 123.7604 0.00420285617 +200045.73 113.5773 114.1718 0.00238243573 +207406.46 103.0941 105.255 0.00244540385 +212527.40 94.2942 97.6246 0.00378206293 +217470.59 85.8858 90.2017 0.00304647337 +222402.56 78.101 83.2079 0.00270721259 +226953.58 71.0613 76.7613 0.00183874958 +231315.76 64.6077 70.7403 0.00208830074 +234956.45 61.6241 67.9138 0.00296917497 +238207.43 60.0296 66.3974 0.00250279843 diff --git a/calib_data/_calib_data/calib2022-03-08_p1_c1.dat b/calib_data/_calib_data/calib2022-03-08_p1_c1.dat new file mode 100644 index 0000000..6d03ebf --- /dev/null +++ b/calib_data/_calib_data/calib2022-03-08_p1_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64718.41 31677.98 9974.18 0.306855015 +66603.61 31375.76 9893.37 0.225853935 +68309.42 26881.2 8680.65 0.158271918 +70013.63 21533.75 7200.17 0.330166625 +72352.59 17517.12 6053.06 0.317238081 +77297.41 14507.89 5171.57 1.1986701 +78898.42 12087.43 4436.499 0.344735986 +80488.42 10158.13 3838.58 0.160704698 +82077.43 8617.56 3347.456 0.144084697 +83651.60 7344.87 2932.236 0.0989262351 +85227.44 6363.47 2603.934 0.114387062 +86803.60 5512.94 2313.661 0.0861330366 +88383.61 4826.928 2074.913 0.0759084975 +89961.58 4239.17 1866.022 0.110361225 +91533.62 3751.205 1688.902 0.052816664 +93113.62 3337.192 1535.548 0.0413956519 +94693.62 2983.6 1402.861 0.0438964691 +96270.59 2677.383 1286.076 0.0372880678 +97848.43 2413.21 1183.753 0.0268346791 +99423.60 2181.46 1092.785 0.0263533679 +101017.45 1981.432 1013.158 0.0142688472 +102607.40 1802.61 940.88 0.0310483494 +104193.54 1644.417 876.207 0.0346424595 +105787.41 1510.115 820.792 0.0245682722 +107382.58 1372.575 762.963 0.023283041 +108973.58 1260.621 715.257 0.0289153938 +110558.43 1159.74 671.653 0.0156236999 +112148.44 1068.986 631.766 0.032471526 +113733.60 981.901 592.913 0.0219111844 +115332.61 904.692 557.856 0.0234179418 +118688.45 835.616 525.972 0.0341994152 +120283.62 770.83 495.2556 0.0146015068 +121878.42 710.576 466.2595 0.00542263773 +123580.59 654.867 438.8339 0.0104369057 +125343.59 601.851 412.0274 0.0095154611 +127122.60 555.372 387.9421 0.00741275927 +128903.61 510.225 363.9487 0.0114638999 +130796.45 469.5285 341.8294 0.0078220202 +132760.58 431.1285 320.3088 0.00904964088 +134897.42 396.1259 300.179 0.00657114906 +137226.48 363.7196 281.0238 0.00697251748 +140288.44 334.0636 263.0706 0.00646405446 +144097.42 305.9998 245.6204 0.0086927556 +146973.59 280.824 229.6189 0.0056417196 +151708.41 257.7838 214.6035 0.00604524607 +156813.59 236.2321 200.2718 0.00734275153 +161942.57 216.146 186.6061 0.00983305649 +167247.43 197.7191 173.7228 0.00967656964 +172727.41 181.4199 162.1347 0.00620652882 +178221.58 164.4238 149.7337 0.00308885092 +183704.48 150.0685 139.1105 0.00306022875 +189183.58 136.974 129.1734 0.00295702553 +194671.59 125.0513 119.9302 0.00455806977 +200161.57 113.5456 110.8398 0.00138419652 +207522.59 103.0932 102.3874 0.00235031913 +212643.49 94.2684 95.1282 0.00186440339 +217586.47 85.8651 88.0684 0.0027466343 +222518.44 78.0875 81.4133 0.00214965113 +227068.42 71.0565 75.2738 0.00235711688 +231431.60 64.5978 69.5287 0.00281087175 +235072.58 61.6152 66.8402 0.00277776889 +238323.59 60.016 65.3898 0.00282063823 diff --git a/calib_data/_calib_data/calib2022-03-08_p1_c4.dat b/calib_data/_calib_data/calib2022-03-08_p1_c4.dat new file mode 100644 index 0000000..9e07ecf --- /dev/null +++ b/calib_data/_calib_data/calib2022-03-08_p1_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64808.40 31676.66 11471.86 0.354457332 +66694.65 31378.42 11375.32 0.299265768 +68400.58 26882.1 9943.3 0.491528229 +70104.67 21534.24 8203.78 0.228385639 +72443.64 17516.98 6862.11 0.200224874 +77388.42 14510.87 5836 1.41088625 +78988.41 12087.43 4985.338 0.433111533 +80578.42 10159.07 4295.444 0.149380052 +82168.43 8618.23 3731.946 0.22001 +83742.60 7345.52 3257.04 0.098366661 +85318.44 6363.54 2883.086 0.101046524 +86894.49 5512.97 2553.232 0.10469766 +88474.65 4826.666 2283.213 0.0972013374 +90052.58 4239.245 2047.477 0.0811424673 +91624.66 3751.354 1848.414 0.0752223371 +93204.67 3337.173 1677.045 0.0692712061 +94784.67 2983.656 1527.799 0.0187856328 +96361.60 2677.211 1397.522 0.0321807396 +97938.43 2413.224 1283.664 0.0235881326 +99513.60 2181.605 1182.536 0.0288859828 +101108.45 1981.624 1094.263 0.0308561177 +102698.41 1802.53 1014.393 0.0156236999 +104283.57 1644.588 942.966 0.0296378137 +105878.41 1510.085 881.897 0.0145636534 +107473.58 1372.554 818.393 0.0281442712 +109063.59 1260.606 766.03 0.0243721152 +110648.43 1159.741 718.222 0.0256046871 +112238.44 1068.948 674.657 0.0167361883 +113824.64 981.885 632.284 0.0127436259 +115423.56 904.683 594.071 0.021234406 +118778.41 835.648 559.379 0.022997826 +120374.62 770.885 526.208 0.0356033706 +121968.42 710.642 494.5848 0.0108257101 +123671.60 654.946 464.8475 0.00855949765 +125433.59 601.941 435.9144 0.0122124527 +127213.60 555.37 409.9383 0.00916738785 +128994.60 510.282 384.0647 0.00899116233 +130887.46 469.5209 360.2838 0.00784703766 +132851.57 431.1295 337.1552 0.0064215263 +134988.42 396.1193 315.5685 0.00591481192 +137317.43 363.706 295.0488 0.00590050845 +140379.45 334.0353 275.8166 0.00844653775 +144188.42 305.9807 257.2246 0.0125699642 +147063.60 280.8083 240.1111 0.00744506548 +151798.45 257.7382 224.1047 0.00566400918 +156903.58 236.2023 208.8473 0.00897112033 +162033.56 216.1253 194.3298 0.00999479865 +167338.43 197.6848 180.6699 0.00692307735 +172818.44 181.3879 168.3605 0.00880596389 +178312.59 164.4024 155.2126 0.00301728355 +183795.81 150.0444 143.9802 0.00211565593 +189273.54 136.9581 133.4766 0.00222800359 +194762.59 125.0298 123.7167 0.00317820704 +200252.57 113.53 114.1342 0.00228385639 +207613.61 103.0876 105.2466 0.00304039471 +212733.60 94.251 97.5922 0.00229259678 +217677.43 85.8553 90.1779 0.00149966663 +222608.44 78.0789 83.1867 0.00238348484 +227158.42 71.0417 76.7439 0.00303792692 +231522.61 64.5924 70.7172 0.00234861661 +235163.58 61.6044 67.8954 0.00265781865 +238413.59 60.0121 66.3757 0.00298345437 diff --git a/calib_data/_calib_data/calib2022-03-08_p2_c1.dat b/calib_data/_calib_data/calib2022-03-08_p2_c1.dat new file mode 100644 index 0000000..54740a2 --- /dev/null +++ b/calib_data/_calib_data/calib2022-03-08_p2_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64923.60 31674.26 9973.38 0.284534708 +66810.58 31377.37 9892.63 0.204963411 +68516.46 26882.55 8680.44 0.126649122 +70220.59 21532.29 7200.93 0.318135191 +72559.44 17517.4 6053.22 0.396938282 +77503.62 14513.93 5170.62 1.4952458 +79103.62 12087.95 4436.467 0.386354889 +80693.63 10158.99 3838.353 0.135477304 +82283.63 8617.98 3347.551 0.155437769 +83858.43 7346.08 2932.076 0.0669656628 +85433.63 6362.96 2603.981 0.0523536054 +87010.60 5512.68 2313.561 0.0895036312 +88590.57 4826.721 2074.924 0.0926304486 +90168.41 4239.289 1865.912 0.0424923523 +91740.58 3751.313 1689.176 0.120201497 +93320.58 3336.957 1535.486 0.024132965 +94900.59 2983.455 1402.885 0.0369662008 +96477.43 2677.332 1286.066 0.0454356688 +98053.59 2413.341 1183.868 0.0374913323 +99629.45 2181.491 1092.845 0.0201618452 +101223.52 1981.509 1013.157 0.0292249893 +102813.57 1802.538 940.893 0.0151029798 +104398.41 1644.469 876.245 0.0229891279 +105993.53 1510.145 820.81 0.028 +107589.42 1372.47 762.985 0.0269165377 +109178.42 1260.669 715.258 0.0241991735 +110763.59 1159.788 671.621 0.0365362833 +112353.60 1068.986 631.806 0.0247870934 +113940.60 981.893 592.927 0.0214965113 +115539.45 904.694 557.913 0.0183874958 +118893.57 835.65 526.035 0.0201121854 +120490.57 770.921 495.2605 0.0141019502 +122083.59 710.564 466.2543 0.0123402188 +123787.42 654.835 438.7712 0.0126529048 +125548.43 601.898 412.0141 0.0110584357 +127329.44 555.42 387.9502 0.0104420305 +129110.60 510.264 363.9494 0.00683988304 +131003.57 469.5248 341.8416 0.00570823966 +132967.42 431.1276 320.3074 0.00711786485 +135103.58 396.1177 300.1642 0.00815328155 +137433.57 363.6692 281.0091 0.00649684539 +140495.77 334.0074 263.0128 0.0095118873 +144303.54 306.0062 245.6326 0.0099229028 +147178.43 280.7846 229.5836 0.00742724713 +151914.57 257.6816 214.5463 0.00725816781 +157018.43 236.1549 200.2062 0.00537549998 +162149.45 216.0934 186.532 0.00909065454 +167453.59 197.6283 173.6863 0.008656847 +172934.60 181.3422 162.1037 0.00911597499 +178428.42 164.3617 149.6808 0.00406152681 +183911.60 150.0089 139.066 0.00181659021 +189388.42 136.93 129.1302 0.00271955879 +194878.43 125.001 119.8868 0.00231430335 +200368.45 113.5082 110.7998 0.00233152311 +207729.43 103.0754 102.3814 0.00172742583 +212849.41 94.2385 95.0945 0.00211778186 +217793.55 85.8392 88.0352 0.00174814187 +222723.57 78.0574 81.3899 0.00222013513 +227273.54 71.0325 75.2515 0.00215522621 +231638.45 64.5764 69.5096 0.00168641632 +235278.42 61.5966 66.8254 0.00197585425 +238528.43 60.0058 65.3753 0.00242507732 diff --git a/calib_data/_calib_data/calib2022-03-08_p2_c4.dat b/calib_data/_calib_data/calib2022-03-08_p2_c4.dat new file mode 100644 index 0000000..42b9672 --- /dev/null +++ b/calib_data/_calib_data/calib2022-03-08_p2_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65014.61 31676.51 11472.3 0.277488739 +66901.58 31379.31 11375.36 0.171580885 +68607.43 26882.66 9943.59 0.317001577 +70311.59 21534.01 8203.45 0.173925271 +72650.60 17516.74 6862.31 0.37079644 +77594.65 14510.59 5835.7 1.10462663 +79194.67 12086.88 4985.586 0.364343794 +80784.67 10159.06 4295.687 0.138246519 +82374.68 8618.25 3732.224 0.154772091 +83948.43 7345.75 3257.1 0.090950536 +85524.68 6363.41 2883.252 0.0505331574 +87101.61 5512.79 2553.325 0.0756207643 +88681.57 4826.564 2283.263 0.0707679306 +90258.42 4239.255 2047.225 0.115648173 +91831.58 3751.419 1848.388 0.0656932264 +93411.59 3337.051 1677.033 0.0460662566 +94991.59 2983.7 1527.801 0.0216078689 +96568.44 2677.585 1397.522 0.01787736 +98143.60 2413.417 1283.721 0.0292044517 +99720.56 2181.607 1182.611 0.026474516 +101313.60 1981.534 1094.356 0.0272102922 +102903.57 1802.726 1014.396 0.030469657 +104488.41 1644.366 942.97 0.0448998886 +106083.54 1510.112 881.924 0.00918694726 +107680.58 1372.545 818.367 0.0207870152 +109268.43 1260.717 765.947 0.0240437102 +110853.59 1159.771 718.212 0.0312345962 +112443.59 1068.966 674.683 0.0244560831 +114031.60 981.847 632.259 0.0280873637 +115630.60 904.703 594.122 0.0179888855 +118983.57 835.642 559.347 0.0200524313 +120581.58 770.904 526.21 0.0266833281 +122173.58 710.662 494.5956 0.0124853514 +123878.43 654.902 464.8529 0.0114249289 +125638.43 601.927 435.8983 0.00925532279 +127420.60 555.447 409.9377 0.00801130451 +129201.57 510.301 384.0812 0.0100735297 +131093.57 469.5201 360.2684 0.00725148261 +133058.41 431.1196 337.159 0.00621449918 +135193.59 396.1061 315.5585 0.00655934448 +137523.59 363.6549 295.0274 0.00844180076 +140586.45 333.9803 275.788 0.00776659514 +144393.58 306.0119 257.237 0.0119758089 +147268.43 280.7705 240.1033 0.00791965908 +152005.77 257.6335 224.0578 0.00753896545 +157108.43 236.1183 208.7887 0.0070186181 +162240.57 216.061 194.2481 0.00848109663 +167543.59 197.6011 180.6103 0.00439329034 +173025.64 181.3213 168.311 0.00662268828 +178518.43 164.3398 155.1651 0.00204181292 +184002.57 149.9881 143.9337 0.00253001976 +189478.46 136.9073 133.4369 0.00192587642 +194968.43 124.9801 123.6841 0.00347404663 +200458.41 113.4918 114.0999 0.00157765649 +207820.59 103.071 105.2359 0.00164590401 +212940.57 94.2241 97.5656 0.00257759578 +217883.55 85.8213 90.1497 0.00187643279 +222813.62 78.0499 83.1594 0.0019089264 +227363.58 71.0262 76.7244 0.00286426256 +231728.44 64.571 70.7035 0.00245865817 +235368.42 61.5899 67.8799 0.00164590401 +238618.43 60.0035 66.3666 0.0023203448 diff --git a/calib_data/_calib_data/calib2023-06-15_p0_c1.dat b/calib_data/_calib_data/calib2023-06-15_p0_c1.dat new file mode 100644 index 0000000..ace072d --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p0_c1.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +63859.31 23301.55 58932.4 7.66601591 diff --git a/calib_data/_calib_data/calib2023-06-15_p0_c2.dat b/calib_data/_calib_data/calib2023-06-15_p0_c2.dat new file mode 100644 index 0000000..137b870 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p0_c2.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +63949.35 23320.3 60921.37 5.22145669 diff --git a/calib_data/_calib_data/calib2023-06-15_p0_c4.dat b/calib_data/_calib_data/calib2023-06-15_p0_c4.dat new file mode 100644 index 0000000..5b9aa93 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p0_c4.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64040.47 23332.55 56533.12 5.13470155 diff --git a/calib_data/_calib_data/calib2023-06-15_p0_c5.dat b/calib_data/_calib_data/calib2023-06-15_p0_c5.dat new file mode 100644 index 0000000..12e9c01 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p0_c5.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64129.35 23332.17 71614.8 5.25889722 diff --git a/calib_data/_calib_data/calib2023-06-15_p0_c6.dat b/calib_data/_calib_data/calib2023-06-15_p0_c6.dat new file mode 100644 index 0000000..7d72bd1 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p0_c6.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64221.38 23335.76 49527.6 4.82528756 diff --git a/calib_data/_calib_data/calib2023-06-15_p1_c1.dat b/calib_data/_calib_data/calib2023-06-15_p1_c1.dat new file mode 100644 index 0000000..d0b7c1b --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p1_c1.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64337.35 23386.02 59173.18 29.5474561 diff --git a/calib_data/_calib_data/calib2023-06-15_p1_c2.dat b/calib_data/_calib_data/calib2023-06-15_p1_c2.dat new file mode 100644 index 0000000..a6ec549 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p1_c2.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64427.35 23445.77 61291.68 4.22456625 diff --git a/calib_data/_calib_data/calib2023-06-15_p1_c4.dat b/calib_data/_calib_data/calib2023-06-15_p1_c4.dat new file mode 100644 index 0000000..f98cb20 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p1_c4.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64518.35 23474.12 56939.86 2.13589326 diff --git a/calib_data/_calib_data/calib2023-06-15_p1_c5.dat b/calib_data/_calib_data/calib2023-06-15_p1_c5.dat new file mode 100644 index 0000000..a8984b0 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p1_c5.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64609.39 23486.33 72170 6.02660767 diff --git a/calib_data/_calib_data/calib2023-06-15_p1_c6.dat b/calib_data/_calib_data/calib2023-06-15_p1_c6.dat new file mode 100644 index 0000000..6e70c10 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p1_c6.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64702.39 23488.29 49902.69 2.93115847 diff --git a/calib_data/_calib_data/calib2023-06-15_p2_c1.dat b/calib_data/_calib_data/calib2023-06-15_p2_c1.dat new file mode 100644 index 0000000..9972d10 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p2_c1.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64817.34 23484.26 59480.38 4.53150748 diff --git a/calib_data/_calib_data/calib2023-06-15_p2_c2.dat b/calib_data/_calib_data/calib2023-06-15_p2_c2.dat new file mode 100644 index 0000000..102653d --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p2_c2.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64908.35 23461.04 61332.13 5.52005525 diff --git a/calib_data/_calib_data/calib2023-06-15_p2_c4.dat b/calib_data/_calib_data/calib2023-06-15_p2_c4.dat new file mode 100644 index 0000000..a705373 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p2_c4.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64999.39 23439.94 56837.05 4.13425326 diff --git a/calib_data/_calib_data/calib2023-06-15_p2_c5.dat b/calib_data/_calib_data/calib2023-06-15_p2_c5.dat new file mode 100644 index 0000000..df25282 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p2_c5.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65090.46 23429.33 71938.5 16.8637185 diff --git a/calib_data/_calib_data/calib2023-06-15_p2_c6.dat b/calib_data/_calib_data/calib2023-06-15_p2_c6.dat new file mode 100644 index 0000000..8b4a642 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-15_p2_c6.dat @@ -0,0 +1,3 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65181.51 23414.06 49711.95 4.01228738 diff --git a/calib_data/_calib_data/calib2023-06-16_p0_c1.dat b/calib_data/_calib_data/calib2023-06-16_p0_c1.dat new file mode 100644 index 0000000..47b3220 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p0_c1.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#33600.45 13107.94 30702.88 3.00957804 +61443.48 19545.63 48349.7 29.2270046 +66322.37 16082.59 38557.66 32.314338 +68873.37 12034.52 27746.86 3.22590142 +71071.36 10383.12 23439.99 7.48792962 +73295.45 8996.87 19871.76 3.87992783 +75510.49 7830.66 16991.47 2.73890672 +77756.37 6879 14660.27 2.87722262 +79968.32 6085.34 12720.42 3.70172392 +83320.45 5410.6 11180.12 7.96896229 +86229.32 4543.786 9147.81 0.29814426 +88950.44 4004.902 7928.18 0.203371581 +91302.51 3548.444 6910.48 0.275245345 +93659.31 3169.959 6079.65 0.235902522 +96018.35 2863.669 5415.97 0.242095023 +98389.40 2598.986 4849.09 0.111067547 +100908.34 2361.573 4348.232 0.0853674411 +103301.46 2148.83 3905.884 0.108519123 +105705.53 1960.919 3518.998 0.0870379228 +108090.49 1795.516 3182.889 0.0576966204 +110443.41 1649.463 2889.881 0.0685776932 +112802.41 1515.635 2625.096 0.0710802364 +115157.32 1392.763 2383.864 0.0790594713 +117513.36 1289.053 2183.014 0.0640968018 +119914.43 1183.635 1981.186 0.125349112 +122340.44 1095.31 1814.57 0.0620644826 +124791.39 1008.763 1653.083 0.067632093 +127248.36 931.921 1511.113 0.0116661905 +129720.43 859.08 1378.937 0.0249419326 +132207.36 794.363 1263.087 0.0196494275 +134763.52 733.666 1155.855 0.0289568645 +137360.43 677.095 1057.44 0.021725561 +140031.48 624.881 967.661 0.0274754436 +142795.44 576.634 885.988 0.0284534708 +145642.40 531.308 810.084 0.0259306768 +148592.52 488.8135 740.219 0.0230412673 +151624.44 450.6526 677.915 0.0266926956 +154770.43 414.6043 619.774 0.0236727692 +158203.40 380.6752 565.648 0.0226185764 +161994.36 349.3879 516.254 0.0294346734 +166309.32 321.3117 472.1982 0.00932502011 +171460.44 296.1023 433.1092 0.0107552778 +177113.50 272.099 396.2072 0.0119237578 +182626.35 249.7735 362.143 0.00513809303 +188379.33 228.9778 330.6538 0.00775345084 +194112.37 210.1635 302.3232 0.00827743922 +200015.44 192.3716 275.7068 0.00923341757 +206050.47 175.6286 250.8 0.00986711711 +211979.35 161.3027 229.6257 0.00989247189 +218149.35 146.8282 208.407 0.0126948809 +224147.35 134.6831 190.6662 0.0125577068 +230314.47 122.7346 173.2428 0.00747636275 +236339.70 112.0997 157.7846 0.00275027271 +242451.39 101.9767 143.1788 0.00240748832 +248351.43 93.1008 130.4314 0.00254636997 +254178.36 84.8351 118.5984 0.00318182338 +259625.43 77.4596 108.077 0.00284604989 +265521.51 70.4296 98.0853 0.00139319776 +270504.43 66.6494 92.7159 0.0021746264 +275444.52 63.9386 88.8719 0.00433232039 +278734.52 62.3975 86.6905 0.00335633729 diff --git a/calib_data/_calib_data/calib2023-06-16_p0_c2.dat b/calib_data/_calib_data/calib2023-06-16_p0_c2.dat new file mode 100644 index 0000000..3415ab8 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p0_c2.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#33694.32 13113.22 31572.68 2.91227746 +61533.40 19556.71 49846.96 11.7534693 +66413.36 16066.05 39827.6 31.3191858 +68963.49 12028.29 28541.09 4.11580976 +71161.40 10378.17 24096.68 2.96647265 +73385.45 8996 20434.53 3.8304843 +75602.49 7834.21 17457.39 1.48885526 +77847.32 6887.03 15080.44 3.75446934 +80058.36 6081.3 13068.81 3.33947451 +83409.32 5407.75 11387.78 3.62109928 +86320.45 4541.656 9362.74 0.1877232 +89041.47 4004.532 8109.19 0.289637705 +91392.47 3548.142 7062.58 0.366005464 +93749.35 3169.867 6207.94 0.272836948 +96108.35 2863.61 5526.47 0.203494472 +98487.74 2598.912 4943.814 0.0690536024 +100998.38 2361.529 4429.175 0.073147112 +103395.46 2148.735 3975.152 0.0973221455 +105796.38 1960.832 3578.573 0.0545536433 +108180.45 1795.495 3234.134 0.0863851839 +110534.49 1649.394 2933.599 0.0675344357 +112895.56 1515.577 2662.841 0.04572636 +115248.37 1392.653 2416.177 0.0811917483 +117603.36 1288.993 2210.789 0.0675640437 +120009.32 1183.548 2004.459 0.0511556448 +122431.43 1095.252 1834.392 0.0910032966 +124883.52 1008.704 1669.78 0.094127573 +127337.35 931.864 1524.9 0.0163095064 +129814.44 859.024 1390.35 0.0241246762 +132297.32 794.279 1272.42 0.0233666429 +134853.39 733.601 1163.467 0.0125737822 +137450.44 676.989 1063.472 0.0238243573 +140122.48 624.774 972.34 0.0168522995 +142889.32 576.499 889.521 0.0165196852 +145733.48 531.167 812.742 0.0257992248 +148684.51 488.6977 742.025 0.0280446073 +151715.43 450.541 679.052 0.0222171105 +154862.52 414.4826 620.304 0.0195038458 +158293.48 380.5559 565.748 0.0276694778 +162085.43 349.2568 515.899 0.0334200539 +166400.44 321.188 471.5277 0.00966545395 +171550.44 295.9618 432.2012 0.00914089711 +177203.51 271.9725 395.1144 0.0092770685 +182719.35 249.6563 360.9051 0.00987466455 +188471.41 228.8674 329.3565 0.008172209 +194204.32 210.0501 300.9804 0.00506596486 +200107.31 192.2883 274.3217 0.00643436089 +206141.43 175.5429 249.445 0.0110923397 +212069.35 161.2107 228.2786 0.00916864221 +218240.43 146.7581 207.0983 0.00876704055 +224238.35 134.6228 189.3812 0.0103380849 +230405.47 122.6749 172.0502 0.00836636122 +236434.39 112.0481 156.6464 0.00340352758 +242541.39 101.9308 142.1212 0.0029044793 +248441.47 93.0576 129.4454 0.00339175471 +254268.32 84.7977 117.6972 0.00300266548 +259716.39 77.4211 107.2603 0.00274972726 +265612.51 70.3997 97.3517 0.00333181632 +270597.31 66.6219 92.0293 0.00190814046 +275537.31 63.9123 88.2255 0.00204572725 +278824.47 62.3703 86.0621 0.00258631011 diff --git a/calib_data/_calib_data/calib2023-06-16_p0_c4.dat b/calib_data/_calib_data/calib2023-06-16_p0_c4.dat new file mode 100644 index 0000000..c931a63 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p0_c4.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#33785.44 13111.4 29495.33 1.99534709 +61625.44 19545.85 46308.83 18.772022 +66504.37 16043.31 37120.04 21.2452592 +69053.48 12025.43 26700.87 5.17793492 +71252.41 10362.66 22572.87 7.33397641 +73475.44 8992.23 19210.07 2.20363563 +75693.41 7835.75 16444.03 1.52977449 +77937.97 6881.53 14227.14 3.3964452 +80149.33 6081.31 12321.89 2.97900822 +83499.33 5402.69 10838.27 6.60263659 +86609.38 4536.428 8884.26 1.43137696 +89132.44 4004.108 7714.13 0.17149344 +91484.52 3547.432 6729.34 0.276115918 +93840.47 3169.621 5926.99 0.187856328 +96200.43 2863.711 5284.32 0.139140217 +98592.42 2598.906 4734.011 0.079037333 +101088.34 2361.274 4247.32 0.0633719181 +103487.33 2148.675 3817.189 0.0799681186 +105887.37 1960.721 3441.215 0.0755016556 +108269.33 1795.336 3114.322 0.0851210902 +110625.46 1649.318 2828.554 0.0651337086 +112987.32 1515.555 2570.487 0.0607132605 +115338.33 1392.573 2335.176 0.0596020134 +117694.44 1288.916 2139.18 0.0630713881 +120100.48 1183.487 1942.102 0.0971267213 +122521.48 1095.186 1779.247 0.099116598 +124971.40 1008.648 1621.56 0.0472228758 +127429.31 931.778 1482.564 0.0336214217 +129905.44 858.95 1353.268 0.0240333102 +132389.32 794.147 1239.77 0.0213541565 +134944.43 733.489 1134.913 0.0277866875 +137540.44 676.911 1038.414 0.0238830484 +140214.52 624.69 950.38 0.0161864141 +142980.43 576.443 870.314 0.0202089089 +145824.44 531.068 795.919 0.00994484791 +148775.48 488.5979 727.406 0.0457864609 +151805.44 450.4424 666.287 0.0296327522 +154957.33 414.3771 609.17 0.0314006369 +158383.52 380.4577 556.1 0.0224053565 +162174.40 349.1277 507.566 0.0186118242 +166490.43 321.0477 464.2718 0.00872674051 +171640.44 295.8341 425.9042 0.00895187131 +177297.34 271.8558 389.6711 0.00926547354 +182810.46 249.5366 356.2233 0.00722779358 +188562.45 228.7792 325.3266 0.00995007538 +194297.32 209.9555 297.4869 0.0054322187 +200198.31 192.1928 271.3438 0.00840452259 +206231.55 175.4629 246.9181 0.0106971492 +212160.46 161.132 226.1091 0.00900383252 +218331.43 146.6859 205.2601 0.00922003254 +224328.31 134.5608 187.7843 0.0118828027 +230495.47 122.6179 170.7059 0.00973288241 +236525.47 111.9936 155.487 0.00342928564 +242633.43 101.8851 141.1357 0.00256534598 +248531.68 93.0151 128.5972 0.00341994152 +254359.32 84.7598 116.9596 0.00363373087 +259805.43 77.3916 106.6161 0.00306740933 +265702.40 70.3651 96.7772 0.00328876877 +270688.31 66.5958 91.5111 0.00321387616 +275627.39 63.8871 87.7356 0.00141562707 +278916.40 62.3415 85.5688 0.00315531298 diff --git a/calib_data/_calib_data/calib2023-06-16_p0_c5.dat b/calib_data/_calib_data/calib2023-06-16_p0_c5.dat new file mode 100644 index 0000000..6c5b0f7 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p0_c5.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#33880.45 13106 36521.47 3.61933834 +61715.48 19558.29 58235.3 13.2519961 +66597.41 16053.06 46136.08 21.6309029 +69144.40 12027.83 32796.19 10.2595853 +71342.53 10360.14 27500.92 6.42647337 +73565.45 8991.55 23300.96 3.1771119 +75784.49 7832.03 19795.61 2.1213887 +78028.37 6883.04 16989.3 8.23826438 +80240.45 6070.05 14677.67 3.55125471 +83592.40 5386.12 12802.7 7.08024011 +86906.32 4530.231 10423.03 4.09802513 +89222.44 4003.77 9018.04 0.192976683 +91575.44 3547.091 7827.38 0.325207626 +93931.43 3169.649 6861.05 0.18179659 +96290.46 2863.755 6092.2 0.265329983 +98685.51 2598.795 5436.77 0.268346791 +101178.38 2361.124 4857.052 0.0687720874 +103578.33 2148.687 4349.001 0.0941642183 +105976.34 1960.852 3906.587 0.0786263315 +108362.37 1795.332 3522.727 0.0888487479 +110715.44 1649.229 3188.969 0.0896710656 +113077.32 1515.529 2888.715 0.0647031684 +115431.40 1392.567 2615.864 0.0671595116 +117785.44 1288.861 2389.183 0.0816216883 +120189.32 1183.397 2162.214 0.0898576652 +122611.44 1095.113 1975.43 0.0707106781 +125062.43 1008.581 1794.991 0.055144356 +127520.44 931.668 1637.135 0.0748632086 +129996.32 858.864 1489.591 0.0183002732 +132483.44 794.07 1361.097 0.0131946959 +135036.32 733.45 1242.602 0.0246089415 +137630.44 676.879 1134.008 0.0184824241 +140305.43 624.578 1035.233 0.0233259512 +143071.43 576.384 945.692 0.0157987341 +145915.44 530.977 862.748 0.0185903201 +148866.96 488.5143 786.47 0.0293938769 +151895.44 450.3464 718.712 0.0192769292 +155049.32 414.2839 655.607 0.0337653669 +158474.52 380.3591 597.05 0.0192873015 +162264.52 349.02 543.675 0.0300083322 +166580.44 320.9192 496.1821 0.00694182973 +171732.48 295.7253 454.2144 0.0103481399 +177388.35 271.7516 414.7133 0.0129375809 +182901.42 249.4309 378.3057 0.00913679375 +188652.37 228.6823 344.782 0.00822070557 +194389.32 209.8726 314.638 0.00767984375 +200288.32 192.1129 286.4294 0.00655621842 +206323.47 175.378 260.1026 0.0103016504 +212250.48 161.0576 237.743 0.00987724658 +218420.43 146.6163 215.3881 0.00784659162 +224418.34 134.4999 196.722 0.00885889384 +230585.47 122.5646 178.4824 0.00853721266 +236617.35 111.9336 162.3418 0.0114514628 +242723.39 101.8384 147.0669 0.00295787086 +248622.47 92.975 133.7767 0.00323125363 +254449.32 84.7221 121.4685 0.00331436268 +259896.35 77.3599 110.5616 0.00367205664 +265793.39 70.3305 100.2037 0.00340602408 +270779.32 66.5685 94.6659 0.00232142198 +275718.31 63.8618 90.6983 0.00201022387 +279007.31 62.3145 88.419 0.00314960315 diff --git a/calib_data/_calib_data/calib2023-06-16_p0_c6.dat b/calib_data/_calib_data/calib2023-06-16_p0_c6.dat new file mode 100644 index 0000000..c0f7555 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p0_c6.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#33974.48 13107.57 26274.42 3.18348237 +61805.44 19586.65 40740.11 18.5676302 +66693.49 16071.14 32822.36 9.37428611 +69235.44 12036.38 23812.01 4.14807064 +71435.45 10367.26 20202.8 3.29211178 +73655.45 8989.2 17232.5 4.47430442 +75877.36 7830.73 14798.67 0.767860664 +78118.33 6889.59 12839.91 3.47244726 +80330.45 6071.38 11161.25 1.61234302 +83682.37 5364.49 9745.95 3.15893178 +86992.40 4527.489 8085.89 3.4012483 +89312.56 4003.649 7055.9 0.296647939 +91665.47 3546.897 6172.38 0.30423675 +94021.47 3169.827 5451.31 0.204670467 +96381.43 2863.768 4870.037 0.0846410066 +98791.26 2598.831 4373.246 0.101835161 +101269.33 2361.08 3931.13 0.0696275807 +103668.33 2148.523 3540.652 0.0630523592 +106066.41 1960.855 3198.263 0.0725954544 +108453.45 1795.379 2899.587 0.0643746845 +110805.45 1649.188 2637.974 0.0712628936 +113167.32 1515.498 2401.973 0.0851827447 +115523.40 1392.536 2185.73 0.0660151498 +117875.44 1288.793 2005.478 0.0813609243 +120280.48 1183.327 1823.795 0.0570306935 +122702.40 1095.001 1673.448 0.0568295698 +125153.39 1008.577 1527.078 0.0409340934 +127612.44 931.609 1398.74 0.0147648231 +130087.31 858.815 1278.758 0.0275971013 +132573.48 794.038 1173.211 0.0299148792 +135128.31 733.387 1075.45 0.0227156334 +137721.51 676.841 985.401 0.0143840189 +140398.36 624.498 903.181 0.0286862336 +143162.39 576.257 828.195 0.0232486559 +146008.31 530.901 758.453 0.0234968083 +148961.47 488.4305 694.055 0.0260863949 +151985.44 450.2433 636.566 0.0236727692 +155139.32 414.1815 582.655 0.0264669605 +158567.36 380.2726 532.609 0.0152610616 +162357.31 348.948 486.6155 0.00629166115 +166673.71 320.788 445.669 0.010933435 +171824.40 295.6041 409.2932 0.0107058862 +177478.35 271.6264 374.9103 0.00483745801 +182992.50 249.3285 343.1229 0.00537484884 +188743.37 228.5784 313.7291 0.00409011002 +194479.32 209.7785 287.207 0.012887203 +200378.32 192.0357 262.2928 0.00968689837 +206413.43 175.2935 238.9193 0.0104661836 +212340.47 161.0013 219.0245 0.00483580397 +218512.50 146.5482 199.0545 0.011124073 +224508.35 134.4408 182.312 0.0107424392 +230676.35 122.5124 165.879 0.0078638413 +236708.36 111.883 151.2554 0.0026046113 +242815.47 101.7929 137.4456 0.00317867897 +248714.51 92.9336 125.3562 0.00336392628 +254539.32 84.6893 114.1234 0.0022592034 +259987.31 77.3252 104.1208 0.00229695451 +265884.39 70.3044 94.6068 0.00302258168 +270870.71 66.5407 89.5037 0.00210736803 +275808.35 63.8332 85.8405 0.00201618452 +279097.31 62.2831 83.7426 0.00383718647 diff --git a/calib_data/_calib_data/calib2023-06-16_p1_c1.dat b/calib_data/_calib_data/calib2023-06-16_p1_c1.dat new file mode 100644 index 0000000..8a17356 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p1_c1.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34090.44 13109.37 30725.75 1.86806049 +61920.44 19555.04 48230.26 41.1688795 +66808.32 16100.87 38555.44 11.0480695 +69352.49 12030.65 27715.19 7.70787195 +71555.45 10369.99 23412.58 2.26162773 +73771.37 8987.93 19883.29 1.31866978 +75997.32 7832.32 16988.93 2.48197703 +78233.40 6875.84 14628.33 3.19477855 +80445.45 6078.21 12702.07 3.95413834 +83802.45 5392.5 11127.29 4.10191297 +87104.52 4525.71 9111.99 3.65298371 +89428.27 4003.116 7923.29 0.318260899 +91784.52 3546.901 6907.32 0.297590322 +94135.47 3169.688 6078.56 0.287819388 +96497.39 2863.637 5416.42 0.252507426 +98928.35 2598.967 4849.57 0.0638748777 +101385.46 2360.825 4347.021 0.0696914629 +103786.34 2148.387 3904.572 0.102886345 +106181.45 1960.715 3518.571 0.062776588 +108568.33 1795.229 3182.306 0.088161216 +110922.41 1648.939 2888.859 0.0583000858 +113283.37 1515.509 2624.786 0.0628362952 +115641.40 1392.474 2383.424 0.0942995228 +117991.40 1288.788 2182.422 0.0803094017 +120397.32 1183.26 1980.747 0.0558041217 +122818.35 1094.982 1813.931 0.0707170418 +125268.32 1008.494 1652.702 0.0502354457 +127727.31 931.524 1510.512 0.0326741488 +130203.39 858.72 1378.349 0.0300815558 +132690.44 793.978 1262.422 0.0325207626 +135244.52 733.233 1155.235 0.0329620994 +137838.31 676.704 1056.827 0.0222733024 +140513.39 624.405 966.949 0.0322629819 +143280.48 576.198 885.271 0.0327246085 +146123.48 530.79 809.381 0.0167600716 +149075.44 488.3419 739.508 0.028733256 +152104.43 450.1644 677.195 0.0264669605 +155255.43 414.0674 618.976 0.0209857094 +158683.36 380.1701 564.911 0.0229106962 +162472.52 348.8391 515.341 0.0287210724 +166788.32 320.623 471.1369 0.0109045403 +171942.51 295.4534 432.1491 0.0105805954 +177593.19 271.4761 395.2817 0.00910609686 +183112.46 249.2027 361.2686 0.00649799969 +188860.45 228.466 329.8728 0.0104621222 +194596.36 209.667 301.5695 0.00589957626 +200494.32 191.8953 275.0434 0.00786155201 +206529.67 175.1992 250.1898 0.00440408901 +212455.43 160.9235 229.0674 0.00646250725 +218628.35 146.4724 207.9015 0.00824893933 +224624.46 134.3685 190.1874 0.00884782459 +230794.43 122.4406 172.8335 0.00752761582 +236823.47 111.8292 157.391 0.0030724583 +242931.47 101.7358 142.8455 0.00351639019 +248829.35 92.8862 130.1175 0.00237170825 +254654.51 84.6494 118.3186 0.00345890156 +260102.59 77.2775 107.8188 0.00246089415 +266000.47 70.2618 97.8541 0.00141739197 +270992.48 66.5067 92.5172 0.00206784912 +275924.35 63.7995 88.68 0.00343220046 +279213.43 62.2449 86.482 0.00245356883 diff --git a/calib_data/_calib_data/calib2023-06-16_p1_c2.dat b/calib_data/_calib_data/calib2023-06-16_p1_c2.dat new file mode 100644 index 0000000..9dabcf7 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p1_c2.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34182.40 13109.12 31543.84 4.33520934 +62010.44 19570.75 49823.43 18.5624139 +66898.33 16074.01 39735.31 34.0329089 +69442.41 12015.72 28523.07 4.00135102 +71646.32 10372.28 24076.11 5.08620586 +73863.37 8986.72 20436.52 2.52312505 +76090.45 7825.36 17441.18 2.20562009 +78325.44 6880.52 15033.94 5.28850073 +80539.37 6090.14 13104.98 3.65657763 +83893.32 5416.59 11408.6 5.13990272 +87191.40 4524.511 9326.48 3.73820278 +89517.92 4002.572 8105.77 0.300682557 +91875.43 3546.994 7060.53 0.208830074 +94225.43 3169.673 6207.94 0.265781865 +96588.34 2863.523 5525.82 0.296917497 +99030.46 2599.088 4944.18 0.159693456 +101476.34 2360.734 4428 0.104115321 +103878.34 2148.422 3974.15 0.0687313611 +106272.69 1960.764 3578.481 0.0820664365 +108659.33 1795.297 3233.569 0.0855038011 +111012.49 1649.06 2932.909 0.0588464103 +113373.49 1515.47 2662.539 0.0557933688 +115732.37 1392.447 2415.739 0.078961383 +118084.40 1288.725 2210.206 0.0757258212 +120487.32 1183.263 2004.035 0.0752362944 +122908.32 1094.942 1833.773 0.083881464 +125358.31 1008.411 1669.278 0.0666903291 +127816.31 931.524 1524.389 0.0356777241 +130294.52 858.692 1389.786 0.027466343 +132783.48 793.893 1271.894 0.0196570598 +135335.48 733.261 1162.949 0.0059076222 +137929.32 676.658 1062.926 0.0240083319 +140604.48 624.373 971.745 0.031756889 +143370.44 576.13 888.832 0.0275971013 +146214.40 530.777 812.069 0.026737614 +149166.84 488.272 741.298 0.0362436201 +152195.43 450.092 678.286 0.0227683992 +155345.43 413.9965 619.513 0.0276423588 +158774.32 380.0948 564.99 0.0175499288 +162568.36 348.7399 515.056 0.0243392687 +166878.36 320.5055 470.4696 0.0092770685 +172032.44 295.3549 431.2812 0.00701398603 +177683.51 271.3918 394.2418 0.0101486945 +183204.38 249.1099 360.0789 0.00735995924 +188953.37 228.3827 328.5893 0.00606638278 +194685.44 209.5886 300.2473 0.00670827847 +200585.48 191.8479 273.669 0.00729383301 +206619.95 175.1215 248.8231 0.00753452056 +212545.59 160.84 227.715 0.0116636186 +218720.47 146.4074 206.5911 0.0125574281 +224715.47 134.3081 188.9295 0.00746357823 +230885.47 122.3884 171.6431 0.00730267074 +236913.47 111.7866 156.2761 0.00304121686 +243022.43 101.7009 141.7902 0.00308804145 +248920.47 92.8489 129.1426 0.00327780414 +254744.43 84.6124 117.4227 0.0025141599 +260194.00 77.2513 107.0125 0.00204572725 +266090.47 70.2426 97.1286 0.00300399734 +271115.64 66.4814 91.8353 0.00154304893 +276015.55 63.7681 88.0205 0.0030536863 +279305.47 62.219 85.8486 0.0025385035 diff --git a/calib_data/_calib_data/calib2023-06-16_p1_c4.dat b/calib_data/_calib_data/calib2023-06-16_p1_c4.dat new file mode 100644 index 0000000..e7811da --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p1_c4.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34273.36 13109.75 29513.99 4.32824329 +62101.48 19558.01 46324.35 15.8378108 +66988.48 16061.34 37108.15 27.5889516 +69535.44 12022.5 26694.61 4.98905703 +71737.33 10366.49 22572.49 4.72089928 +73953.49 8983.75 19204.16 2.98640922 +76182.41 7826.31 16436.07 2.51555362 +78415.45 6885.79 14195.67 2.79116642 +80633.41 6097.33 12418.56 6.41065051 +83985.48 5420.7 10806.9 12.6105432 +87277.32 4522.893 8851.88 2.72256497 +89608.32 4001.559 7709.76 0.27136691 +91965.44 3546.653 6727.05 0.22901965 +94315.43 3169.924 5927.29 0.171143215 +96679.35 2863.531 5283.95 0.184526421 +99133.90 2598.926 4734.162 0.0915510786 +101566.38 2360.666 4246.012 0.118345258 +103968.33 2148.333 3816.504 0.082124296 +106363.41 1960.749 3441.288 0.0712432453 +108749.33 1795.1 3113.527 0.0612543876 +111102.41 1648.958 2827.623 0.0627702159 +113464.36 1515.393 2570.192 0.0740783369 +115823.40 1392.382 2335.099 0.0620072576 +118175.44 1288.685 2138.684 0.0509745034 +120577.31 1183.219 1941.74 0.0521727898 +123002.48 1094.878 1778.735 0.084145707 +125448.36 1008.36 1621.06 0.0484148737 +127905.55 931.513 1482.068 0.0212508823 +130384.51 858.653 1352.773 0.0289153938 +132875.47 793.871 1239.323 0.0216356188 +135430.44 733.228 1134.394 0.0202089089 +138023.47 676.648 1037.945 0.0227266364 +140695.43 624.304 949.83 0.0179443584 +143461.47 576.041 869.725 0.0286792608 +146305.48 530.749 795.362 0.017538529 +149257.27 488.2118 726.756 0.0228997817 +152285.44 450.0243 665.652 0.0263362868 +155435.48 413.9333 608.516 0.0329302293 +158865.45 380.0284 555.467 0.0303660995 +162657.32 348.6365 506.817 0.0211210795 +166969.32 320.406 463.2966 0.0057466512 +172123.51 295.2613 425.0519 0.00879482803 +177773.45 271.3059 388.8502 0.00736993894 +183294.38 249.0079 355.4573 0.00716944907 +189043.45 228.309 324.607 0.00877496439 +194775.45 209.4973 296.8208 0.00897529944 +200675.44 191.7698 270.7507 0.00795116344 +206712.52 175.0575 246.3412 0.00717188957 +212636.23 160.7497 225.5656 0.00970999485 +218810.43 146.3487 204.7837 0.00865800208 +224805.43 134.2552 187.3714 0.0112099955 +230975.47 122.3482 170.2966 0.00819658465 +237003.39 111.7429 155.13 0.00251396102 +243114.51 101.6619 140.824 0.00260768096 +249009.32 92.8142 128.3071 0.00307066768 +254835.43 84.5738 116.7016 0.00246657657 +260284.39 77.2217 106.3782 0.0024690079 +266181.39 70.2159 96.5645 0.00230325856 +271220.55 66.4508 91.3147 0.00437961185 +276110.43 63.7391 87.526 0.0027676705 +279395.47 62.195 85.3673 0.00237928561 diff --git a/calib_data/_calib_data/calib2023-06-16_p1_c5.dat b/calib_data/_calib_data/calib2023-06-16_p1_c5.dat new file mode 100644 index 0000000..40cfea5 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p1_c5.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34363.44 13108.42 36521.07 1.70815983 +62190.45 19565.95 58161.92 11.7655327 +67078.33 16085.13 46109.1 12.9140002 +69625.45 12020.14 32842.15 3.33922895 +71827.33 10364.56 27557.06 3.16894935 +74048.33 8980.1 23276.83 5.53176373 +76272.45 7828.35 19787.16 3.24278276 +78508.73 6881.68 16974.22 9.48391059 +80723.41 6091.42 14726.09 7.56925954 +84075.45 5433.82 12778.83 7.83484588 +87366.36 4521.581 10398.7 0.152970585 +89698.20 4001.084 9012.88 0.267507009 +92057.31 3546.116 7825.35 0.235053185 +94406.35 3169.973 6862.4 0.205912603 +96769.35 2863.631 6091.87 0.195473783 +99230.46 2598.805 5436.81 0.178016853 +101658.38 2360.669 4856.045 0.0828160612 +104059.33 2148.256 4348.147 0.100329956 +106455.51 1960.835 3906.562 0.123893503 +108841.41 1795.009 3522.211 0.0722419546 +111192.49 1648.831 3187.982 0.0678498342 +113555.45 1515.368 2888.44 0.074135012 +115915.44 1392.335 2615.466 0.118610286 +118265.44 1288.704 2388.837 0.0588905765 +120668.32 1183.159 2161.798 0.0677318241 +123092.51 1094.862 1974.796 0.0543359918 +125539.35 1008.366 1794.432 0.0668849759 +127995.44 931.45 1636.665 0.0691989884 +130474.44 858.634 1489.204 0.0302390476 +132965.44 793.871 1360.591 0.031920213 +135520.43 733.171 1242.161 0.0275481397 +138116.31 676.621 1133.533 0.0194961535 +140785.44 624.283 1034.762 0.0268253611 +143553.48 575.996 945.048 0.0172510869 +146399.32 530.707 862.198 0.0285587115 +149347.00 488.1606 785.8 0.0399499687 +152376.32 449.9538 718.054 0.0281496004 +155525.44 413.8765 654.915 0.0271753565 +158955.43 379.9688 596.403 0.0275699111 +162747.32 348.5784 542.944 0.026046113 +167060.44 320.3309 495.199 0.0098 +172214.31 295.179 453.3378 0.00836038277 +177863.51 271.2168 413.839 0.00691809222 +183385.46 248.9259 377.4803 0.00943403413 +189133.45 228.2349 344.026 0.00794858478 +194865.45 209.4258 313.9371 0.0074758946 +200767.36 191.6868 285.8055 0.00629483916 +206803.43 175.0044 259.4971 0.00628084389 +212728.39 160.694 237.2009 0.00695478253 +218899.35 146.2902 214.8998 0.00955698697 +224895.47 134.2014 196.2644 0.00734329626 +231066.35 122.3037 178.0859 0.00922870522 +237095.63 111.6938 161.9784 0.00878885658 +243207.35 101.6226 146.737 0.00250998008 +249100.44 92.7799 133.4845 0.0022237356 +254927.32 84.5427 121.2104 0.00276115918 +260375.64 77.1916 110.314 0.00229346899 +266273.47 70.1872 99.9838 0.00255656019 +271331.43 66.4291 94.4553 0.00286373881 +276206.31 63.7128 90.4761 0.00364266386 +279486.31 62.1732 88.2269 0.00241433221 diff --git a/calib_data/_calib_data/calib2023-06-16_p1_c6.dat b/calib_data/_calib_data/calib2023-06-16_p1_c6.dat new file mode 100644 index 0000000..907a713 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p1_c6.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34453.48 13109.95 26280.28 2.81036652 +62280.45 19578.05 40780 12.2491306 +67168.72 16101.39 32822.98 13.8340941 +69715.45 12009.66 23783.65 2.79843706 +71921.81 10362.6 20192.15 3.62671339 +74138.33 8982.46 17239.2 4.31247029 +76363.48 7826.95 14790.15 1.79634351 +78600.46 6879.3 12818.25 2.29151696 +80814.37 6079.82 11174.92 3.69812926 +84165.64 5413.14 9766.99 4.32889016 +87455.72 4520.455 8067.39 0.44417339 +89789.32 4001.156 7052.21 0.144533733 +92147.32 3546.04 6172.09 0.176889796 +94501.46 3170.019 5451.05 0.276134025 +96860.47 2863.98 4870.617 0.0675581231 +99338.74 2598.874 4373.597 0.140861989 +101748.34 2360.514 3930.186 0.0875237111 +104152.42 2148.057 3539.697 0.0520201884 +106545.53 1960.749 3198.23 0.0931665176 +108932.40 1795.033 2899.089 0.0714625776 +111285.45 1648.732 2637.142 0.0865771332 +113647.40 1515.34 2401.768 0.0661331989 +116005.44 1392.379 2185.583 0.0447895077 +118355.44 1288.682 2005.274 0.0606168293 +120760.44 1183.082 1823.537 0.0357784852 +123182.39 1094.846 1673.015 0.061680629 +125630.47 1008.409 1526.706 0.0362546549 +128085.43 931.382 1398.419 0.0323867257 +130567.31 858.584 1278.393 0.0334080829 +133060.44 793.855 1172.93 0.0207364414 +135611.48 733.119 1075.138 0.0294550505 +138207.36 676.541 985.126 0.0190368065 +140877.31 624.25 902.83 0.018761663 +143643.40 575.984 827.724 0.0361994475 +146489.51 530.664 758.04 0.0222710575 +149437.36 488.1101 693.541 0.0252368778 +152465.43 449.8955 635.989 0.0167600716 +155619.36 413.8164 582.215 0.0277578818 +159045.43 379.8977 532.095 0.0200124961 +162839.32 348.5424 486.0136 0.00532202969 +167152.52 320.2719 444.8824 0.00881498724 +172305.44 295.1004 408.5735 0.010115582 +177954.23 271.1269 374.1941 0.0091109275 +183475.46 248.8474 342.433 0.0095163018 +189223.37 228.1385 313.1153 0.00852531524 +194955.44 209.3531 286.6274 0.00956890798 +200858.32 191.6096 261.7202 0.00515519156 +206893.39 174.9432 238.4286 0.0107342443 +212818.35 160.651 218.5345 0.00639413794 +218990.43 146.2378 198.6233 0.010237236 +224985.46 134.1508 181.9174 0.00908207025 +231157.35 122.2521 165.5286 0.00810209849 +237185.51 111.652 150.9416 0.00256203044 +243297.31 101.5849 137.1618 0.00180997238 +249190.43 92.7457 125.0934 0.00170411267 +255017.31 84.5144 113.8868 0.00310096759 +260465.67 77.1646 103.906 0.00226715681 +266363.39 70.1607 94.412 0.00187082869 +271439.31 66.4135 89.3241 0.00314467804 +276296.31 63.6829 85.6378 0.00262602361 +279575.43 62.1542 83.5675 0.00327490458 diff --git a/calib_data/_calib_data/calib2023-06-16_p2_c1.dat b/calib_data/_calib_data/calib2023-06-16_p2_c1.dat new file mode 100644 index 0000000..dd7e9e1 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p2_c1.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34572.36 13113.38 30710.2 3.33160622 +62395.44 19578.99 48331.87 13.1030229 +67284.49 16052.92 38624.09 12.6408026 +69831.41 12022.1 27729.9 4.60560528 +72036.37 10354.33 23360.18 3.74960798 +74253.49 8991.68 19889.44 2.87441124 +76479.33 7828.65 16983.47 1.85618156 +78718.64 6877.28 14641.46 1.93634708 +80931.49 6076.72 12715.04 2.33718634 +84284.37 5402.48 11104.55 4.2384726 +87570.43 4519.082 9093.16 0.259306768 +89904.48 4000.64 7918.01 0.239770724 +92265.44 3545.911 6904.96 0.216425507 +94617.34 3169.886 6079.74 0.180665437 +96974.34 2863.88 5416.8 0.227596134 +99463.46 2598.901 4849.105 0.0750633066 +101863.41 2360.192 4345.994 0.0814763769 +104267.34 2147.825 3903.462 0.0868539003 +106661.45 1960.664 3518.653 0.100090459 +109049.33 1794.945 3181.758 0.0951609163 +111401.41 1648.602 2888.151 0.0658703272 +113762.01 1515.32 2624.404 0.06714462 +116121.48 1392.378 2383.18 0.0845103544 +118475.44 1288.618 2182.178 0.088767111 +120874.55 1183.121 1980.251 0.054780471 +123298.24 1094.8 1813.608 0.098992929 +125747.40 1008.301 1652.233 0.0735669763 +128201.39 931.316 1510.165 0.0453265926 +130683.47 858.531 1378.037 0.0181135309 +133181.48 793.781 1262.148 0.0223069496 +135725.67 733.127 1154.931 0.0264367169 +138323.48 676.547 1056.484 0.0347908034 +140994.39 624.162 966.583 0.00788035532 +143762.52 575.867 884.753 0.018817545 +146605.43 530.596 809.008 0.0256437127 +149553.52 488.0593 739.021 0.0263988636 +152581.52 449.8216 676.614 0.0348482424 +155739.48 413.7503 618.433 0.0284622557 +159164.40 379.8103 564.305 0.0315990506 +162955.48 348.4563 514.807 0.023918612 +167269.32 320.1878 470.4729 0.0104225237 +172419.35 295.0043 431.4364 0.0100271631 +178074.34 271.0059 394.5449 0.00751724684 +183590.46 248.7145 360.5655 0.00420535373 +189339.33 228.0357 329.2343 0.00429895336 +195074.60 209.2534 300.9636 0.00854540812 +200975.44 191.5345 274.4701 0.0118088526 +207008.35 174.8495 249.6646 0.0108602026 +212934.43 160.5804 228.569 0.00977547953 +219105.46 146.1742 207.4615 0.00590465918 +225104.50 134.085 189.7962 0.00953918235 +231274.43 122.1978 172.4764 0.00869390591 +237302.11 111.6017 157.0707 0.0024333105 +243412.47 101.5347 142.5504 0.00273203221 +249309.39 92.6986 129.8593 0.00317820704 +255133.51 84.4725 118.0748 0.00316164514 +260581.47 77.129 107.6042 0.00320249902 +266479.39 70.1252 97.6572 0.00308480145 +272395.87 66.2208 92.1059 0.00122024588 +276412.43 63.6447 88.4752 0.00318370853 +279695.43 62.1366 86.3105 0.00315990506 diff --git a/calib_data/_calib_data/calib2023-06-16_p2_c2.dat b/calib_data/_calib_data/calib2023-06-16_p2_c2.dat new file mode 100644 index 0000000..e4f5528 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p2_c2.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34662.40 13113.89 31551.17 4.05230922 +62486.32 19560.93 49737.03 11.8861941 +67380.40 16046.7 39814.68 16.8285163 +69921.48 12020.89 28517.88 8.33364026 +72128.37 10351.35 24048.14 4.1661301 +74343.41 8991.57 20435.86 2.04490587 +76569.37 7827.71 17436.24 3.44535049 +78808.85 6875.77 15031.93 1.92161651 +81023.41 6079.42 13064.39 2.00810607 +84375.44 5402.59 11459.43 7.39485024 +87664.44 4518.082 9308.83 0.512649978 +89997.31 4000.359 8099.96 0.204548283 +92356.31 3545.338 7056.67 0.267973879 +94710.43 3169.52 6207.38 0.282063823 +97065.47 2863.759 5526.8 0.228035085 +99560.58 2599.066 4943.999 0.126605292 +101953.49 2360.495 4427.54 0.0703562364 +104356.38 2147.913 3973.132 0.0729081614 +106754.49 1960.771 3578.457 0.0659552879 +109140.45 1794.802 3233.01 0.0622735899 +111493.40 1648.718 2932.146 0.119173823 +113853.08 1515.373 2662.252 0.101939198 +116211.36 1392.32 2415.438 0.078291762 +118566.32 1288.6 2209.933 0.102333279 +120964.40 1183.072 2003.696 0.0481497664 +123388.51 1094.772 1833.494 0.0475857121 +125837.31 1008.227 1668.806 0.0764748325 +128291.04 931.307 1524.04 0.0421663373 +130773.47 858.578 1389.497 0.018976301 +133273.48 793.761 1271.587 0.0361953036 +135816.36 733.107 1162.622 0.0297926165 +138415.47 676.531 1062.545 0.0251097591 +141085.44 624.184 971.442 0.0246495436 +143853.48 575.853 888.474 0.0239248824 +146696.32 530.551 811.741 0.0351695891 +149645.48 488.0153 740.863 0.0332580817 +152671.36 449.7819 677.883 0.0240852652 +155834.52 413.7024 619.016 0.0327169681 +159255.44 379.769 564.449 0.0251575039 +163045.43 348.3954 514.492 0.0308155805 +167362.52 320.1612 469.9274 0.00583472364 +172509.35 294.9481 430.6157 0.00901892455 +178166.31 270.9175 393.516 0.00884533775 +183734.78 248.6209 359.3605 0.0168897898 +189429.33 227.9843 327.9931 0.007850414 +195165.44 209.1916 299.6396 0.010364555 +201066.35 191.4786 273.1103 0.00757238404 +207097.35 174.7917 248.3114 0.0071891585 +213026.74 160.5212 227.2245 0.00891543605 +219195.47 146.1241 206.181 0.00857671266 +225197.30 134.0343 188.5308 0.00879181437 +231365.47 122.154 171.3038 0.00573550347 +237393.39 111.5624 155.9585 0.00241350368 +243503.46 101.5 141.5132 0.00361330873 +249401.51 92.6634 128.8862 0.00398195932 +255224.40 84.4477 117.1949 0.00333901183 +260671.39 77.1017 106.8074 0.00310869748 +266570.47 70.1031 96.9376 0.00183956517 +272498.40 66.2098 91.4448 0.00223517337 +276503.47 63.6298 87.8309 0.00269610831 +279785.43 62.1162 85.7065 0.00291290233 diff --git a/calib_data/_calib_data/calib2023-06-16_p2_c4.dat b/calib_data/_calib_data/calib2023-06-16_p2_c4.dat new file mode 100644 index 0000000..736e3a9 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p2_c4.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34752.36 13114.94 29528.53 3.16919706 +62577.32 19536.93 46329.62 13.0721674 +67470.45 16063.43 37095.9 11.8202115 +70012.53 12023.77 26688.75 3.17090681 +72221.96 10355.72 22556.19 3.36468275 +74433.49 8985.92 19196.92 1.02769645 +76660.46 7832.89 16430.43 2.02987931 +78900.29 6877.82 14194.74 1.53617707 +81113.36 6071.31 12324.82 0.764696018 +84465.44 5369.79 10739.32 6.80658211 +87755.44 4517.219 8837.15 0.354189215 +90089.32 3999.76 7706.12 0.242816803 +92446.31 3545.018 6724.6 0.173205081 +94800.43 3169.023 5926.01 0.254342289 +97156.30 2863.701 5284.52 0.173666347 +99664.46 2599.114 4734.495 0.100789384 +102043.41 2360.574 4245.682 0.0675544225 +104448.33 2147.84 3815.443 0.0989651454 +106845.62 1960.725 3441.438 0.051142937 +109232.49 1794.829 3113.427 0.0930596583 +111584.37 1648.826 2827.14 0.0843800924 +113943.16 1515.361 2570.243 0.0638286769 +116303.48 1392.278 2334.826 0.0597695575 +118657.32 1288.596 2138.476 0.0996012048 +121057.32 1183.046 1941.363 0.0741356864 +123480.48 1094.76 1778.48 0.0748732262 +125927.32 1008.196 1620.802 0.0904632522 +128381.48 931.336 1481.772 0.0182098874 +130863.48 858.564 1352.515 0.0273952551 +133364.56 793.704 1239.044 0.034298688 +135905.60 733.086 1134.083 0.0184959455 +138505.43 676.456 1037.615 0.0213190056 +141179.32 624.123 949.627 0.0228932304 +143945.59 575.88 869.404 0.034298688 +146789.43 530.527 795.069 0.021883784 +149738.24 487.9721 726.401 0.0315103158 +152765.43 449.7665 665.174 0.0173896521 +155925.43 413.6457 608.051 0.0245132617 +159345.43 379.7162 554.994 0.0249479458 +163136.32 348.3448 506.306 0.0170997076 +167455.48 320.1531 462.9091 0.00757555279 +172599.67 294.8801 424.4515 0.00670111931 +178256.50 270.8278 388.1784 0.00807118331 +183834.38 248.5249 354.7301 0.00959213219 +189519.33 227.9085 324.0231 0.00685776932 +195257.32 209.1241 296.2542 0.00966312579 +201160.43 191.4138 270.2165 0.00730650395 +207187.35 174.7289 245.8312 0.00744553558 +213117.43 160.4635 225.1029 0.00601739146 +219285.58 146.0666 204.3575 0.0070643471 +225287.35 133.9874 186.9762 0.0115011304 +231456.31 122.1098 169.9744 0.00471211205 +237487.31 111.5243 154.8269 0.00266251761 +243593.39 101.4654 140.5545 0.00248696602 +249493.43 92.6368 128.06 0.00192353841 +255316.31 84.4208 116.483 0.00229782506 +260763.39 77.0798 106.1823 0.00161895028 +266661.43 70.0858 96.383 0.00218632111 +272622.15 66.197 90.9521 0.00292728543 +276592.39 63.6116 87.3436 0.00108811764 +279877.35 62.0967 85.2319 0.00172887246 diff --git a/calib_data/_calib_data/calib2023-06-16_p2_c5.dat b/calib_data/_calib_data/calib2023-06-16_p2_c5.dat new file mode 100644 index 0000000..1595459 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p2_c5.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34844.32 13115.4 36549.92 4.00579081 +62667.37 19524.52 58092.34 16.4126732 +67560.45 16064.96 46104.59 29.0319632 +70103.40 12026.46 32834.17 7.50991411 +72313.45 10352.64 27512.55 7.45021141 +74523.40 8983.4 23271.61 1.9501 +76754.37 7830.54 19782.82 1.93358734 +78991.12 6878.56 17000.62 1.35076275 +81205.45 6078.01 14674.19 3.28010518 +84556.36 5368.94 12801.07 12.3515428 +87845.44 4515.857 10382.51 0.626330584 +90180.43 3999.036 9006.68 0.288721319 +92538.31 3545.024 7822.08 0.16235763 +94892.38 3168.681 6859.67 0.214032708 +97254.82 2864.035 6092.5 0.149666295 +99763.50 2598.965 5437.05 0.155724115 +102134.42 2360.252 4855.075 0.112216309 +104537.33 2147.767 4347.048 0.107375975 +106939.37 1960.848 3906.963 0.0785372523 +109322.49 1794.977 3521.971 0.0829752975 +111675.45 1648.676 3187.538 0.0591743188 +114033.60 1515.35 2888.473 0.0456738437 +116394.36 1392.276 2615.408 0.0790291086 +118746.32 1288.552 2388.532 0.0750439871 +121147.32 1183.001 2161.511 0.0905477774 +123574.52 1094.719 1974.318 0.101791945 +126021.44 1008.177 1794.206 0.0884782459 +128470.95 931.31 1636.244 0.0747154602 +130953.48 858.503 1488.891 0.0305106539 +133455.44 793.677 1360.409 0.0246758992 +135998.31 733.079 1241.883 0.0320015625 +138595.43 676.446 1133.225 0.0163859696 +141270.44 624.133 1034.44 0.0238746728 +144039.31 575.925 944.816 0.0242981481 +146880.00 530.529 861.883 0.0209785605 +149828.08 487.9318 785.448 0.0119833217 +152855.44 449.7212 717.683 0.0163737595 +156015.44 413.5991 654.453 0.023283041 +159436.31 379.6752 595.839 0.0181906569 +163229.31 348.2777 542.4 0.0183847763 +167545.44 320.1564 494.873 0.0101103907 +172693.43 294.8096 452.7162 0.00709478682 +178347.39 270.7527 413.1273 0.00872358871 +183924.50 248.4544 376.7381 0.00877775598 +189610.45 227.8415 343.4316 0.00649184103 +195349.36 209.058 313.3393 0.0104374805 +201251.40 191.3372 285.2327 0.00420487812 +207278.30 174.6731 258.993 0.00671714225 +213209.34 160.3952 236.6707 0.00774215732 +219375.55 146.0135 214.4615 0.00807372281 +225377.35 133.9372 195.8936 0.0102656709 +231547.39 122.0684 177.7345 0.00935975427 +237579.31 111.4843 161.6559 0.00945986258 +243684.43 101.4356 146.4605 0.00298412466 +249585.43 92.6083 133.2277 0.00302340867 +255409.23 84.3895 120.9868 0.00104690019 +260855.07 77.0557 110.111 0.00227596134 +266752.44 70.063 99.8032 0.00252111087 +272733.47 66.188 94.1141 0.00212814473 +276683.47 63.5937 90.3022 0.00243228288 +279970.43 62.0816 88.0926 0.00296378137 diff --git a/calib_data/_calib_data/calib2023-06-16_p2_c6.dat b/calib_data/_calib_data/calib2023-06-16_p2_c6.dat new file mode 100644 index 0000000..a14af24 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-16_p2_c6.dat @@ -0,0 +1,63 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#34934.40 13111.17 26294.32 1.64358146 +62758.32 19527.82 40706.04 16.1061553 +67649.77 16052.99 32771.93 19.4681691 +70193.40 12027.56 23802.34 2.85601821 +72403.01 10351.37 20161.85 3.68505767 +74613.49 8985.07 17231.64 2.2597876 +76845.45 7829.98 14792.26 1.93003627 +79083.36 6880.68 12816.14 1.3939297 +81296.32 6080.72 11189.65 1.77416177 +84651.41 5389.67 9781.78 5.36206677 +87935.44 4514.477 8056.48 0.260691388 +90270.43 3998.935 7047.75 0.170440605 +92628.35 3545.011 6168.7 0.204939015 +94983.51 3168.472 5447.98 0.136967149 +97347.34 2864.425 4871.083 0.0913679375 +99863.42 2598.999 4373.633 0.0786517641 +102227.34 2360.127 3929.784 0.102276097 +104629.34 2147.625 3539.106 0.077384753 +107029.54 1960.993 3198.567 0.0977859908 +109415.45 1794.88 2898.903 0.0844280759 +111767.32 1648.607 2637.08 0.0732529863 +114124.36 1515.371 2401.747 0.0513819034 +116484.40 1392.285 2185.421 0.0811966748 +118837.32 1288.519 2004.928 0.0800599775 +121236.31 1182.974 1823.194 0.0702168071 +123665.45 1094.705 1672.862 0.0665251832 +126113.39 1008.175 1526.581 0.0394322203 +128562.75 931.295 1398.219 0.0243905719 +131043.48 858.464 1278.201 0.0355654327 +133545.47 793.693 1172.7 0.0237065392 +136088.32 732.999 1074.955 0.0298412466 +138685.43 676.462 984.86 0.0179443584 +141360.48 624.148 902.632 0.0234008547 +144130.43 575.874 827.524 0.0234179418 +146971.40 530.496 757.807 0.0147682091 +149918.39 487.9002 693.254 0.0238830484 +152946.31 449.67 635.662 0.0230997835 +156105.44 413.5725 581.813 0.0190289254 +159530.44 379.6359 531.701 0.0163370744 +163320.43 348.2453 485.5842 0.00713694613 +167636.16 320.1252 444.6876 0.00869850562 +172784.44 294.7521 408.0881 0.0112946447 +178440.46 270.6745 373.5925 0.01000025 +184015.45 248.3799 341.8136 0.00644701481 +189700.45 227.7638 312.5997 0.00516536543 +195440.44 208.9761 286.0998 0.00645879246 +201340.43 191.2684 261.2373 0.0059161643 +207373.87 174.616 237.9526 0.00942570952 +213300.47 160.3488 218.1182 0.00867617427 +219465.58 145.9672 198.2547 0.00993181756 +225469.35 133.8907 181.5646 0.00758577616 +231637.35 122.0286 165.2406 0.0125381019 +237669.35 111.4475 150.6589 0.00321387616 +243775.43 101.409 136.914 0.0018761663 +249675.47 92.5735 124.8663 0.00163125718 +255500.43 84.3641 113.6914 0.00140142784 +260945.43 77.0299 103.7265 0.00309596512 +266845.64 70.0366 94.2507 0.00300016666 +272835.47 66.1861 89.0288 0.00183738945 +276773.48 63.5826 85.4974 0.00216425507 +280060.47 62.0672 83.4547 0.00213096222 diff --git a/calib_data/_calib_data/calib2023-06-22_p0_c1.dat b/calib_data/_calib_data/calib2023-06-22_p0_c1.dat new file mode 100644 index 0000000..e4c81b9 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p0_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68797.32 30777.85 18795.21 0.966276358 +70900.43 30512.84 18652.75 0.789841756 +73225.44 26776.28 16635.26 1.51889433 +75514.40 22026.44 14023.22 0.749239615 +79471.12 14374.45 9649.27 1.00479351 +81679.31 12101.24 8289.17 0.597837771 +83917.32 10257.81 7162.22 0.437218481 +86177.31 8736.01 6219.24 0.518690659 +88430.47 7513.21 5439.15 0.157003185 +90664.39 6470.79 4761.307 0.198000253 +92911.47 5651.52 4220.785 0.092284885 +95168.31 4933.271 3739.341 0.0611792448 +97502.39 4348.841 3339.337 0.0589754186 +99837.35 3844.969 2988.724 0.0571874112 +102115.43 3428.966 2694.732 0.100874179 +104389.35 3074.725 2440.846 0.11038297 +106713.43 2771.407 2220.617 0.0816094357 +108999.35 2507.699 2026.225 0.0716414684 +111272.47 2277.56 1854.76 0.0560178543 +113593.40 2072.914 1700.55 0.056833089 +115878.35 1895.222 1564.713 0.0311143054 +118148.90 1736.878 1442.996 0.0247870934 +120418.35 1592.725 1331.245 0.0235902522 +122702.39 1469.417 1235.295 0.0265800677 +126240.43 1345.396 1137.575 0.0310885831 +129401.43 1243.316 1056.542 0.0190682983 +131692.39 1149.455 981.571 0.023767625 +134015.46 1061.046 910.608 0.0251316533 +136382.95 973.363 839.863 0.0180027776 +138792.51 895.247 776.556 0.022680388 +141205.43 826.963 720.93 0.0312409987 +143623.39 764.096 669.613 0.0231969826 +146038.35 705.91 621.835 0.0300416378 +148504.43 651.587 577.118 0.0247709507 +151023.47 599.799 534.398 0.0198896958 +153623.39 554.334 496.5656 0.00700171408 +156225.47 510.004 459.7645 0.0059820565 +158912.15 469.5674 426.2049 0.0101562296 +161706.31 431.5614 394.3635 0.00878208404 +164616.31 396.6944 365.0408 0.00665402134 +167610.47 364.5804 337.8962 0.0107868438 +170741.39 335.3146 313.0578 0.00888909444 +174328.34 308.1659 289.8675 0.00920461841 +178458.38 283.143 268.3984 0.00674862949 +182682.42 259.4041 247.8826 0.00597528242 +187288.55 237.6596 228.9302 0.00811640314 +191551.50 218.1549 211.8298 0.0056987718 +195947.34 199.7027 195.5404 0.00868124415 +200391.86 183.5051 181.1052 0.0089541052 +205065.46 166.4448 165.7899 0.00747455684 +209609.33 152.1104 152.8061 0.00257468445 +214191.50 138.9342 140.7634 0.00291273068 +218718.38 126.9574 129.7203 0.00253396922 +223292.50 115.4115 118.9825 0.00279016129 +227830.46 105.089 109.2984 0.00355584027 +232197.34 96.0171 100.7106 0.00404524412 +236633.45 87.4519 92.5304 0.00272836948 +241000.58 79.6781 85.0463 0.00261935106 +245271.86 72.6294 78.2057 0.00311143054 +249535.46 66.0758 71.7802 0.00215777663 +252847.35 62.99 68.7481 0.00311271586 +255810.46 61.2059 66.98 0.00163707055 diff --git a/calib_data/_calib_data/calib2023-06-22_p0_c2.dat b/calib_data/_calib_data/calib2023-06-22_p0_c2.dat new file mode 100644 index 0000000..23d5709 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p0_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68888.32 30758.04 9619.22 0.523793853 +70990.44 30504.42 9558.38 0.418760075 +73317.32 26779.78 8689.46 0.486867538 +75605.45 21027.58 7489.58 25.672763 +79561.52 14369.46 5510.82 0.265631323 +81771.40 12104.37 4852.682 0.31678005 +84009.31 10257.16 4293.659 0.187432388 +86269.12 8737.05 3810.172 0.20021888 +88521.47 7513.85 3404.19 0.0853814968 +90754.39 6469.7 3042.315 0.0722668665 +93001.47 5651.69 2748.168 0.0767697857 +95258.31 4932.97 2480.347 0.0563923754 +97593.51 4348.936 2253.275 0.0734200245 +99927.31 3845.081 2050.429 0.0761373758 +102206.31 3428.859 1877.36 0.0851586754 +104481.39 3074.495 1725.628 0.0738349511 +106803.51 2771.146 1591.604 0.0951230782 +109090.43 2507.552 1471.231 0.0328466132 +111363.39 2277.562 1364.002 0.0231862028 +113684.47 2072.842 1266.079 0.0225144398 +115968.35 1895.234 1179.155 0.0322877686 +118239.31 1736.898 1099.891 0.0212814473 +120509.35 1592.78 1026.027 0.0246596837 +122793.51 1469.372 962.113 0.0209308385 +126329.35 1345.162 895.999 0.0280160668 +129494.51 1243.497 840.8 0.0149666295 +131784.46 1149.411 788.892 0.0180997238 +134106.30 1060.988 739.22 0.018493242 +136475.46 973.298 689.115 0.0194036079 +138883.39 895.151 643.743 0.028567464 +141297.31 826.836 603.339 0.0176889796 +143713.51 763.99 565.667 0.0170323222 +146128.35 705.796 530.201 0.021515111 +148595.51 651.486 496.4882 0.00717328377 +151113.63 599.755 463.9995 0.00859796488 +153715.47 554.253 434.9547 0.00704279774 +156315.47 509.853 406.2481 0.00554698116 +159007.39 469.455 379.8489 0.00858655926 +161795.47 431.4359 354.4845 0.00626936998 +164707.31 396.5548 330.8477 0.00605813503 +167700.46 364.4496 308.7089 0.00747054215 +170834.38 335.1689 288.2589 0.0114450426 +174418.35 308.0243 268.9696 0.00635484067 +178549.34 282.9803 250.8863 0.00921091744 +182773.38 259.2737 233.4706 0.00902019955 +187378.34 237.5541 217.2463 0.00499009018 +191644.38 218.0155 202.374 0.0100119928 +196037.34 199.5846 188.1038 0.0063068217 +200482.50 183.3967 175.3497 0.00644523079 +205155.49 166.3552 161.6596 0.00882405802 +209703.45 152.0231 149.9298 0.0029387072 +214282.50 138.8602 138.9411 0.00517194354 +218808.34 126.8806 128.7683 0.00384460661 +223384.38 115.346 118.7878 0.00386212377 +227920.66 105.032 109.7028 0.00240333102 +232287.34 95.9599 101.5653 0.00345268012 +236724.62 87.4032 93.7576 0.00249479458 +241090.46 79.636 86.5471 0.00249979999 +245362.42 72.5905 79.8985 0.00217370651 +249625.51 66.0367 73.6119 0.0023767625 +252938.34 62.956 70.6215 0.00339190212 +255900.46 61.1819 68.8911 0.00291701903 diff --git a/calib_data/_calib_data/calib2023-06-22_p0_c4.dat b/calib_data/_calib_data/calib2023-06-22_p0_c4.dat new file mode 100644 index 0000000..5f71fc1 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p0_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68978.32 30735.82 1512.111 0.0276568256 +71081.40 30499.41 1506.2 0.0294618397 +73409.31 26777.48 1419.781 0.0463130651 +75695.48 19555.94 1227.699 0.995753433 +79651.48 14369.98 1066.082 0.0620934779 +81863.52 12098.09 982.738 0.0469638159 +84103.71 10255.35 907.662 0.0257604348 +86364.43 8738.47 839.872 0.033280625 +88612.39 7512.55 779.427 0.0513819034 +90845.43 6468.1 723.522 0.0186975934 +93093.47 5650.95 675.837 0.0138600144 +95350.51 4932.991 630.797 0.0226296266 +97683.43 4348.822 591.198 0.0253692728 +100017.35 3845.173 554.555 0.0243413229 +102295.43 3428.716 522.017 0.0313703682 +104572.52 3074.578 492.4754 0.00938424211 +106894.48 2771.201 465.737 0.0107554637 +109181.39 2507.518 441.1545 0.00757924798 +111453.48 2277.624 418.5383 0.00906868237 +113773.43 2072.856 397.3525 0.00967083244 +116058.35 1895.083 378.0304 0.00833090631 +118331.51 1736.713 360.0195 0.0101412524 +120600.47 1592.63 342.8355 0.0086663141 +122887.35 1469.281 327.5985 0.00602702248 +126420.47 1344.918 311.4616 0.00650107683 +129587.35 1243.624 297.7064 0.010311353 +131875.43 1149.349 284.4407 0.00776279589 +134197.35 1060.945 271.4952 0.00548780466 +136565.51 973.244 258.1015 0.0097941309 +138974.39 895.103 245.6604 0.00407480061 +141387.30 826.758 234.3444 0.00527674142 +143804.39 763.973 223.5041 0.00659158555 +146218.35 705.732 213.0346 0.00892882971 +148687.31 651.429 202.8896 0.00587060474 +151203.43 599.691 192.8421 0.00610974631 +153805.47 554.096 183.5906 0.00762522131 +156406.35 509.708 174.2451 0.00777875311 +159097.31 469.3577 165.4827 0.00727743087 +161885.43 431.3417 156.7577 0.00227178344 +164796.31 396.4574 148.5041 0.0028929224 +167790.43 364.3202 140.6076 0.00107888832 +170925.46 335.0445 133.1457 0.00231106036 +174508.35 307.9112 125.9952 0.00220363336 +178640.46 282.8479 119.1397 0.00310821492 +182864.46 259.1364 112.4209 0.00287906235 +187468.34 237.4572 106.0575 0.00233773395 +191735.45 217.8915 100.105 0.00177763888 +196129.33 199.4812 94.3165 0.00135830777 +200572.58 183.2949 89.0437 0.00304647337 +205247.33 166.268 83.3038 0.00223517337 +209795.46 151.934 78.3092 0.00412746896 +214372.37 138.7801 73.5454 0.00253061257 +218901.51 126.8054 69.0751 0.00275844159 +223475.46 115.2719 64.6178 0.00327658359 +228011.50 104.9727 60.4973 0.00299349294 +232377.34 95.9041 56.7604 0.00225033331 +236820.46 87.3498 53.1259 0.00288946362 +241181.50 79.5938 49.70344 0.00111823075 +245458.34 72.5573 46.53101 0.00105085204 +249715.46 66.0015 43.49537 0.000830548012 +253030.46 62.9247 42.03926 0.000630269784 +255989.34 61.1608 41.19317 0.000632779582 diff --git a/calib_data/_calib_data/calib2023-06-22_p0_c5.dat b/calib_data/_calib_data/calib2023-06-22_p0_c5.dat new file mode 100644 index 0000000..26f1d0a --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p0_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69069.32 30724.48 1753.129 0.0323558341 +71171.40 30488.66 1746.278 0.061608441 +73500.44 26778.06 1641.309 0.0459009804 +75785.44 19012.33 1390.665 0.0555922656 +79741.40 14374.85 1214.348 0.0809048824 +81956.32 12096.57 1114.279 0.0451541803 +84195.64 10256.13 1025.577 0.0361123248 +86466.32 8739.28 945.324 0.032193167 +88705.84 7514.23 874.943 0.0417863614 +90935.43 6468.03 809.253 0.0344107541 +93184.47 5650.52 753.852 0.0153492671 +95443.72 4933.173 701.545 0.0253870045 +97773.47 4348.704 655.748 0.0211565593 +100108.31 3845.131 613.425 0.0266176633 +102385.44 3428.52 576.159 0.0271827151 +104663.51 3074.499 542.471 0.0138888444 +106985.47 2771.252 511.949 0.0179136819 +109271.44 2507.521 483.8155 0.00995916663 +111546.32 2277.54 458.1541 0.00598239083 +113867.35 2072.74 434.1544 0.00744472968 +116148.35 1895.049 412.3384 0.0105082824 +118423.03 1736.733 391.9983 0.00511673724 +120690.47 1592.564 372.6877 0.00921091744 +122978.35 1469.235 355.5779 0.00690282551 +126513.44 1344.678 337.4605 0.00894231514 +129678.35 1243.768 322.1693 0.00410134124 +131966.30 1149.313 307.3025 0.00629325035 +134288.35 1060.931 292.882 0.0101528321 +136655.55 973.209 278.008 0.00641404708 +139065.43 895.069 264.1913 0.00677945426 +141478.35 826.716 251.6415 0.00530518614 +143897.35 763.914 239.6602 0.0034228643 +146307.79 705.647 228.1254 0.00725975206 +148777.35 651.317 216.9366 0.00681204815 +151293.47 599.6 205.8855 0.0100282102 +153896.32 553.99 195.7646 0.00839070915 +156495.43 509.576 185.4878 0.00478915441 +159188.35 469.2606 175.9018 0.00801348863 +161976.31 431.2288 166.4668 0.0106365408 +164885.51 396.3709 157.4076 0.00173320512 +167879.35 364.2149 148.8181 0.00233858932 +171015.46 334.9246 140.725 0.00219089023 +174600.46 307.8032 132.9706 0.00260844781 +178731.50 282.7252 125.5441 0.0022558812 +182955.46 259.0169 118.3017 0.00249419326 +187558.34 237.3648 111.446 0.003082207 +191825.46 217.7928 105.0413 0.00215429803 +196221.50 199.3851 98.8241 0.00163370744 +200663.29 183.2069 93.1691 0.00325407437 +205338.33 166.1981 87.028 0.00296984848 +209885.46 151.8477 81.7 0.00346698716 +214464.46 138.7007 76.626 0.0034525353 +218992.42 126.742 71.8644 0.00231170932 +223568.38 115.2118 67.1271 0.00324484206 +228101.50 104.9121 62.7599 0.00240603408 +232469.34 95.8484 58.7986 0.00231603109 +236911.46 87.3025 54.9566 0.00233323809 +241271.62 79.5482 51.3739 0.00209499403 +245548.34 72.5241 48.00799 0.000449988889 +249806.35 65.9783 44.81246 0.000713890748 +253120.58 62.9023 43.28158 0.000923233448 +256079.34 61.14 42.39745 0.000737733014 diff --git a/calib_data/_calib_data/calib2023-06-22_p0_c6.dat b/calib_data/_calib_data/calib2023-06-22_p0_c6.dat new file mode 100644 index 0000000..f3392e2 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p0_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69163.44 30713.1 51027.06 4.41522819 +71261.43 30478.55 50629.63 3.76961669 +73594.36 26781.17 44168.03 2.52638279 +75876.32 18876.54 30616.37 13.9998218 +79832.48 14373.94 22989.02 1.25242165 +82048.31 12102.04 19197.38 3.68623928 +84286.31 10257.83 16125.68 2.08373703 +86556.36 8739.58 13629.54 1.54694538 +88796.36 7516.36 11622.13 0.615962661 +91025.63 6468.49 9917.92 0.515906968 +93275.43 5650.66 8603.17 0.28707142 +95533.91 4932.836 7455.35 0.217830209 +97863.52 4348.374 6524.33 0.321885073 +100198.31 3844.776 5726.26 0.263514705 +102475.44 3428.244 5069.19 0.249979999 +104753.39 3074.32 4512.087 0.090432848 +107075.43 2771.338 4038.793 0.078588167 +109361.43 2507.532 3628.228 0.0712432453 +111636.35 2277.373 3271.953 0.0766948499 +113956.35 2072.547 2956.558 0.0800974407 +116238.35 1895.057 2684.279 0.0485273119 +118514.43 1736.721 2442.572 0.0426567697 +120781.43 1592.39 2223.779 0.0820786208 +123069.35 1469.169 2038.793 0.0507552953 +126607.35 1344.448 1851.588 0.0647116682 +129769.35 1243.898 1701.435 0.0773853991 +132056.35 1149.347 1560.937 0.0303660995 +134379.35 1060.937 1431.135 0.0298747385 +136748.36 973.187 1303.464 0.0291958901 +139156.35 895.037 1190.771 0.0302803567 +141568.31 826.708 1093.105 0.0232056028 +143989.35 763.876 1004.104 0.0347044666 +146398.30 705.618 922.399 0.0247568172 +148868.39 651.236 846.941 0.0144533733 +151383.47 599.568 775.775 0.016507574 +153989.35 553.924 713.612 0.0264121184 +156586.36 509.46 653.557 0.0292249893 +159279.35 469.1877 599.876 0.0317238081 +162067.31 431.1252 549.296 0.0272470182 +164975.47 396.264 503.431 0.0315737233 +167970.54 364.118 461.2198 0.00751505156 +171105.47 334.8012 423.1481 0.00520278771 +174690.47 307.6938 388.155 0.0102362102 +178825.94 282.5933 355.8873 0.00690369466 +183047.34 258.9175 325.6353 0.0105128968 +187648.34 237.2806 298.0795 0.0103568818 +191915.50 217.6814 273.1932 0.00601631116 +196316.33 199.2776 249.9094 0.00666813317 +200752.99 183.1242 229.5373 0.00461746684 +205428.34 166.1144 208.0919 0.00753452056 +209975.46 151.7761 190.2021 0.0128898798 +214557.33 138.6297 173.7141 0.0113731702 +219082.45 126.6837 158.7235 0.0143994792 +223659.33 115.162 144.3241 0.00390243514 +228197.34 104.8645 131.4896 0.00311833289 +232558.35 95.8009 120.196 0.00387298335 +237002.38 87.2662 109.5835 0.00383731677 +241366.34 79.506 99.9404 0.00168641632 +245638.34 72.4885 91.2058 0.00311704989 +249898.34 65.9465 83.0785 0.00300749065 +253213.46 62.8739 79.2607 0.00209785605 +256169.34 61.1218 77.0963 0.00182784026 diff --git a/calib_data/_calib_data/calib2023-06-22_p1_c1.dat b/calib_data/_calib_data/calib2023-06-22_p1_c1.dat new file mode 100644 index 0000000..730a0ef --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p1_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69279.31 30701.02 18755.83 1.16636615 +71379.00 30475.88 18634.73 0.597503138 +73710.44 26784.49 16641.99 0.497282616 +77748.32 17363.81 11385.6 0.917823512 +79947.32 14362.22 9640.24 0.622768015 +82162.40 12097.23 8285.12 0.665251832 +84401.44 10251.32 7163.35 0.738410455 +86675.44 8743.24 6222.51 0.380118403 +88911.47 7515.73 5438.75 0.291290233 +91141.68 6468.94 4761.051 0.0976775307 +93392.51 5650.18 4219.998 0.125465533 +95649.47 4933.013 3739.088 0.0591235993 +97980.47 4347.939 3338.677 0.0835230507 +100315.39 3845.067 2988.869 0.0716721703 +102592.47 3428.596 2694.422 0.0277055951 +104872.47 3074.382 2440.515 0.0620362797 +107191.43 2771.2 2220.237 0.058686455 +109477.31 2507.171 2025.899 0.0957439293 +111751.43 2277.222 1854.462 0.106797004 +114073.51 2072.345 1700.164 0.0692560467 +116354.59 1894.814 1564.638 0.0298596718 +118630.43 1736.719 1442.819 0.0270351623 +120895.55 1592.352 1330.965 0.0283284309 +123184.42 1469.151 1235.155 0.02182888 +126723.43 1344.222 1136.662 0.0241991735 +129885.58 1244.045 1057.062 0.0248112878 +132171.63 1149.315 981.451 0.0138888444 +134496.34 1060.835 910.438 0.0226627448 +136863.03 973.165 839.717 0.022805701 +139272.39 894.975 776.397 0.0174384632 +141687.30 826.675 720.674 0.0199097966 +144105.46 763.79 669.312 0.0243639077 +146513.51 705.548 621.564 0.0198595065 +148983.52 651.184 576.881 0.0164590401 +151500.47 599.598 534.166 0.0184499322 +154104.39 553.933 496.245 0.00653758365 +156702.47 509.434 459.309 0.00922171351 +159395.47 469.1163 425.8007 0.00655446413 +162182.39 431.0133 393.9262 0.0106214877 +165091.46 396.1609 364.6126 0.00958039665 +168086.87 363.9886 337.3983 0.00528213972 +171225.46 334.6526 312.4935 0.0111402424 +174809.35 307.5515 289.3678 0.0109286779 +178944.54 282.411 267.7776 0.00628840202 +183164.46 258.7787 247.3274 0.00584499786 +187763.42 237.1618 228.5062 0.00596791421 +192032.46 217.5294 211.2974 0.010067969 +196431.46 199.1585 195.0569 0.00789487175 +200868.33 182.9947 180.6576 0.00496024193 +205543.41 166.0121 165.39 0.0069267597 +210093.38 151.6961 152.4156 0.00395524968 +214673.49 138.5463 140.4108 0.00348654557 +219197.34 126.6066 129.3961 0.00317316876 +223775.45 115.0918 118.6831 0.00314467804 +228314.38 104.8038 109.0236 0.00372612399 +232673.50 95.7433 100.4488 0.0020189106 +237120.30 87.2179 92.3036 0.00285376944 +241482.78 79.4703 84.8427 0.00253001976 +245754.38 72.4418 78.0202 0.00293530237 +250014.50 65.9016 71.6228 0.00344034882 +253329.34 62.8333 68.5843 0.00302009934 +256287.34 61.0956 66.8753 0.00127318498 diff --git a/calib_data/_calib_data/calib2023-06-22_p1_c2.dat b/calib_data/_calib_data/calib2023-06-22_p1_c2.dat new file mode 100644 index 0000000..1d294f2 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p1_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69371.44 30686.18 9601.92 0.39744182 +71469.31 30467.96 9551.56 0.32471526 +73800.44 26779.6 8690.61 0.329681665 +77838.31 17360.43 6331.26 0.241743666 +80037.31 14363.87 5510.38 0.356033706 +82253.52 12100.81 4851.474 0.512704983 +84494.13 10247.47 4288.951 0.162471228 +86767.32 8745.19 3811.17 0.216245231 +89001.51 7515.95 3404.914 0.193541727 +91232.39 6468.73 3042.738 0.0509666558 +93485.48 5650.52 2747.625 0.0605185922 +95740.44 4932.53 2479.784 0.0443891879 +98075.68 4347.762 2252.79 0.0989343216 +100406.75 3845.064 2050.62 0.119774789 +102683.51 3428.456 1877.265 0.10739879 +104963.44 3074.161 1725.374 0.068471892 +107280.51 2771.187 1591.527 0.0724161584 +109567.32 2507.176 1471.023 0.0274244417 +111842.51 2277.259 1363.871 0.0190499344 +114165.47 2072.269 1265.941 0.0247568172 +116445.48 1894.977 1179.068 0.020918891 +118720.43 1736.748 1099.829 0.0232142198 +120985.59 1592.416 1025.981 0.027944588 +123276.35 1469.12 961.958 0.0218082553 +126813.46 1344.063 895.402 0.0174241212 +129980.47 1244.139 841.156 0.0119331471 +132263.43 1149.286 788.889 0.0250778787 +134587.31 1060.848 739.162 0.026030751 +136952.99 973.165 689.028 0.0248515593 +139364.42 894.966 643.533 0.0360568995 +141778.35 826.637 603.257 0.0289844786 +144198.35 763.762 565.509 0.0171726527 +146604.43 705.529 530.033 0.024861617 +149076.31 651.21 496.2873 0.00849358582 +151590.47 599.55 463.8609 0.0118291589 +154196.31 553.946 434.751 0.0060876925 +156793.51 509.431 405.9639 0.0120037078 +159485.52 469.058 379.5798 0.00343744091 +162273.51 430.9495 354.1733 0.0144229331 +165183.51 396.0893 330.5048 0.0072660856 +168177.07 363.8948 308.3442 0.00542918042 +171317.35 334.5402 287.7996 0.0110943229 +174899.34 307.4529 268.5668 0.0104640336 +179035.06 282.306 250.3982 0.0128209204 +183256.35 258.6828 233.0149 0.00959108961 +187854.34 237.0876 216.8876 0.00736641025 +192123.42 217.448 201.9391 0.00312873776 +196521.46 199.0744 187.7102 0.00529679148 +200958.34 182.9094 174.9852 0.0100755149 +205636.37 165.9342 161.3081 0.0101925954 +210182.42 151.6281 149.5946 0.00421710801 +214763.45 138.4912 138.6328 0.00252111087 +219288.34 126.5479 128.4849 0.00380644191 +223865.46 115.039 118.5145 0.00265047166 +228407.34 104.7563 109.4509 0.00156492811 +232764.42 95.6995 101.3292 0.00255264569 +237210.46 87.1798 93.5466 0.00322552321 +241576.50 79.4345 86.3586 0.00188785593 +245845.47 72.4106 79.7347 0.00307262103 +250105.46 65.8804 73.459 0.00328024389 +253420.46 62.8085 70.4793 0.00161276161 +256380.45 61.079 68.7862 0.00278854801 diff --git a/calib_data/_calib_data/calib2023-06-22_p1_c4.dat b/calib_data/_calib_data/calib2023-06-22_p1_c4.dat new file mode 100644 index 0000000..fb1e4bd --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p1_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69464.39 30672.51 1510.658 0.0598631773 +71560.43 30459.51 1505.433 0.0209785605 +73892.39 26778.54 1420.007 0.0286373881 +77927.39 17353.35 1164.801 0.0238096619 +80128.31 14363.02 1066.136 0.0452150417 +82345.44 12103.74 982.803 0.0516730104 +84588.32 10243.02 907.105 0.0433416659 +86857.32 8742.53 839.781 0.0618619431 +89091.48 7515.83 779.67 0.0268700577 +91326.31 6468.03 723.459 0.0288253361 +93578.47 5649.9 675.79 0.025019992 +95831.39 4932.228 630.829 0.0304778608 +98165.43 4347.975 591.134 0.020746084 +100497.31 3844.905 554.469 0.0197711912 +102773.44 3428.377 521.976 0.0232465051 +105054.47 3074.261 492.4327 0.0135963598 +107371.43 2771.304 465.7472 0.00799349736 +109657.35 2507.3 441.1384 0.0101795874 +111932.44 2277.21 418.5059 0.0109237814 +114255.43 2072.314 397.3201 0.00733546181 +116536.30 1894.939 378.0264 0.00553389555 +118811.43 1736.652 359.9977 0.00889949437 +121076.31 1592.257 342.8126 0.00704017045 +123367.31 1469.107 327.5708 0.00793322129 +126907.30 1343.893 311.3074 0.00768921322 +130070.47 1244.213 297.7878 0.00787756307 +132353.39 1149.258 284.4266 0.00492585018 +134678.35 1060.84 271.4775 0.00662004532 +137044.43 973.113 258.0917 0.00584987179 +139455.46 894.926 245.6522 0.00329180801 +141872.43 826.578 234.307 0.00898888202 +144289.36 763.728 223.4557 0.00850299947 +146695.43 705.459 212.9922 0.00771854909 +149166.71 651.226 202.8492 0.00631949365 +151681.39 599.533 192.8026 0.00422894786 +154287.35 553.826 183.5542 0.00748037432 +156884.43 509.35 174.1761 0.00837430594 +159575.51 468.9874 165.3913 0.00476245735 +162365.48 430.9065 156.6554 0.00178437664 +165274.47 396.0296 148.4022 0.00375978723 +168267.35 363.82 140.4868 0.001713476 +171411.38 334.4575 133 0.00164316767 +174989.35 307.368 125.8406 0.00368836007 +179126.10 282.2119 118.9573 0.00159405144 +183347.34 258.5873 112.2554 0.0020356817 +187949.34 237.0163 105.9215 0.00242590189 +192213.46 217.3624 99.944 0.00144913767 +196612.42 198.9824 94.1594 0.00205036582 +201049.33 182.847 88.8996 0.00252665787 +205727.33 165.8531 83.1581 0.00335991071 +210273.38 151.5587 78.1757 0.0029190752 +214853.37 138.4317 73.4199 0.00392542991 +219378.34 126.489 68.9535 0.00132853303 +223961.42 114.9805 64.5025 0.00253475837 +228498.34 104.7078 60.3875 0.00291290233 +232855.45 95.6535 56.6556 0.00276839304 +237301.78 87.1441 53.0322 0.0035771497 +241666.46 79.4015 49.61811 0.000966276358 +245936.34 72.3829 46.45349 0.000783256025 +250195.62 65.858 43.42639 0.000668199072 +253509.34 62.7878 41.96844 0.000928137921 +256469.34 61.0623 41.14454 0.000921542186 diff --git a/calib_data/_calib_data/calib2023-06-22_p1_c5.dat b/calib_data/_calib_data/calib2023-06-22_p1_c5.dat new file mode 100644 index 0000000..b705651 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p1_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69558.32 30666.18 1751.393 0.0418580936 +71649.87 30455.9 1745.257 0.0244560831 +73982.48 26780.65 1641.412 0.0515519156 +78017.32 17342.91 1331.042 0.0527787836 +80220.45 14361.38 1213.803 0.0304318912 +82438.32 12093.26 1114.156 0.0506399052 +84679.32 10240.21 1025.147 0.0288114561 +86948.31 8739.62 945.59 0.0442944692 +89182.43 7517.12 874.924 0.0177313282 +91417.31 6468.1 809.198 0.0193804025 +93668.31 5649.12 753.813 0.0192379833 +95922.47 4932.178 701.532 0.0325514977 +98255.43 4348.014 655.705 0.0246272207 +100587.35 3844.756 613.429 0.0211872603 +102863.47 3428.5 576.126 0.0294686274 +105145.44 3074.4 542.418 0.0248917657 +107465.43 2771.069 511.957 0.0211683726 +109747.31 2507.271 483.8166 0.00846664042 +112022.51 2277.119 458.1224 0.00724458418 +114345.47 2072.296 434.1108 0.0132013636 +116626.31 1894.882 412.3172 0.00914308482 +118901.39 1736.625 391.9922 0.00734955781 +121167.35 1592.257 372.6805 0.00957418404 +123459.35 1469.119 355.5751 0.00868728957 +126997.43 1343.728 337.3085 0.00783996173 +130160.47 1244.295 322.2388 0.00949083769 +132444.38 1149.242 307.3062 0.011646287 +134768.35 1060.782 292.8741 0.0050802559 +137136.47 973.053 277.9633 0.00480634997 +139545.43 894.902 264.1788 0.00673765538 +141962.43 826.502 251.6246 0.0051365358 +144380.46 763.678 239.6188 0.00663596263 +146786.35 705.438 228.0746 0.00722523356 +149258.35 651.151 216.8973 0.00610909159 +151772.43 599.501 205.8557 0.00850535126 +154376.31 553.738 195.6983 0.0101015345 +156974.43 509.22 185.4366 0.00820999391 +159671.51 468.9267 175.8268 0.00736586723 +162455.44 430.8651 166.3565 0.00581764557 +165365.63 395.9951 157.3099 0.0026360956 +168362.39 363.7636 148.7009 0.002246998 +171502.38 334.3506 140.5663 0.00164954539 +175081.38 307.2812 132.8177 0.00199022612 +179218.34 282.125 125.3712 0.0029488981 +183442.42 258.4993 118.1375 0.00304055916 +188039.34 236.9493 111.3111 0.00245132617 +192303.37 217.2882 104.8752 0.00302919131 +196702.42 198.9024 98.6587 0.00257701378 +201144.33 182.7969 93.0276 0.0022592034 +205817.34 165.7966 86.8875 0.00279732015 +210364.45 151.489 81.5654 0.00340939877 +214943.45 138.3727 76.4913 0.00268719184 +219468.34 126.438 71.741 0.00282842712 +224054.34 114.9264 67.009 0.0024979992 +228591.50 104.6627 62.6502 0.00227508242 +232945.46 95.6079 58.6958 0.0031962478 +237391.94 87.1051 54.8661 0.00165196852 +241756.42 79.3653 51.2818 0.00197888858 +246029.34 72.3601 47.92843 0.000963436557 +250285.47 65.8348 44.74104 0.000743801049 +253604.98 62.766 43.2119 0.000662117814 +256561.42 61.048 42.34886 0.000647796264 diff --git a/calib_data/_calib_data/calib2023-06-22_p1_c6.dat b/calib_data/_calib_data/calib2023-06-22_p1_c6.dat new file mode 100644 index 0000000..07b6417 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p1_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69649.32 30654.43 50941.26 1.59951243 +71746.32 30451.36 50576.8 3.92053568 +74076.32 26780.8 44183.2 4.6930374 +78108.32 17331.56 28009.74 1.56672908 +80313.28 14360.73 22974.45 2.83362842 +82528.32 12086.8 19175.9 2.35151015 +84771.39 10239.43 16094.69 1.5953965 +87038.31 8737.88 13618.75 1.08970179 +89273.47 7518.93 11624.85 0.343292878 +91508.39 6468.72 9920.26 0.339175471 +93758.71 5649.26 8600.37 0.174384632 +96012.52 4932.344 7454.38 0.312345962 +98345.44 4347.678 6523.32 0.259538051 +100682.48 3844.639 5726.28 0.230564525 +102953.52 3428.616 5069.6 0.297657521 +105237.35 3074.42 4512.683 0.126941325 +107555.51 2770.882 4038.617 0.104661836 +109839.31 2507.183 3628.021 0.0940579609 +112115.43 2277.213 3271.649 0.0957543733 +114435.67 2072.247 2956.06 0.10753604 +116717.35 1894.861 2684.14 0.0724568837 +118991.38 1736.522 2442.207 0.103634454 +121258.35 1592.205 2223.423 0.09880334 +123548.35 1469.054 2038.49 0.0659393661 +127088.35 1343.538 1850.122 0.0607091426 +130250.47 1244.329 1702.204 0.0737590672 +132535.47 1149.295 1560.916 0.0263893918 +134858.35 1060.79 1430.983 0.0226296266 +137227.35 973.072 1303.273 0.0199022612 +139635.55 894.916 1190.544 0.0280784615 +142054.39 826.476 1092.883 0.0300016666 +144470.47 763.66 1003.867 0.0183330303 +146876.35 705.437 922.177 0.0295651822 +149348.35 651.122 846.67 0.025019992 +151863.39 599.462 775.53 0.0367695526 +154465.43 553.73 713.332 0.0275608418 +157064.47 509.189 653.165 0.0194550765 +159765.52 468.8984 599.495 0.0205060967 +162546.31 430.8083 548.878 0.0218997717 +165455.43 395.9413 503.009 0.0278010791 +168453.46 363.7131 460.6742 0.00936354634 +171593.42 334.255 422.4732 0.00831240038 +175174.46 307.1859 387.4819 0.00795418129 +179308.34 282.034 355.1797 0.0105802174 +183533.54 258.4228 324.9782 0.00817288199 +188130.70 236.8827 297.5444 0.00523679291 +192393.42 217.2016 272.5927 0.00651467574 +196793.50 198.8271 249.3491 0.00753186564 +201235.54 182.7201 229.0035 0.00735968749 +205909.33 165.7304 207.6229 0.00889882015 +210455.46 151.4291 189.7505 0.0075448658 +215033.49 138.3176 173.3196 0.0106585177 +219558.34 126.3955 158.3475 0.00293001706 +224145.45 114.8887 143.9838 0.00263362868 +228683.45 104.6251 131.1849 0.00336288567 +233035.46 95.5709 119.9111 0.00250778787 +237483.62 87.0713 109.3406 0.00253061257 +241847.34 79.3342 99.7203 0.00398007538 +246118.34 72.3286 91.0111 0.00263988636 +250375.46 65.8078 82.9151 0.00179136819 +253700.46 62.7376 79.098 0.00272396769 +256652.50 61.0268 76.9701 0.00218380402 diff --git a/calib_data/_calib_data/calib2023-06-22_p2_c1.dat b/calib_data/_calib_data/calib2023-06-22_p2_c1.dat new file mode 100644 index 0000000..43efb1c --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p2_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69764.40 30638.22 18719.84 1.19282857 +71861.84 30442.72 18615.3 0.842970937 +74192.44 26776.35 16636.01 1.12227002 +78223.44 17320.22 11361.56 0.637369595 +80431.44 14355.06 9636.36 0.631696129 +82644.47 12091.01 8284.75 0.792243649 +84890.80 10243.09 7156.14 0.364472221 +87155.43 8737.56 6215.95 0.493811705 +89389.35 7518.66 5442.88 0.338762454 +91623.88 6467.52 4759.653 0.0933707663 +93874.40 5650.34 4220.358 0.0978345542 +96127.32 4933.001 3739.038 0.0475562824 +98461.47 4347.791 3338.658 0.0873017755 +100798.31 3844.829 2988.784 0.055842636 +103069.35 3428.503 2694.462 0.0642930789 +105352.47 3074.464 2440.524 0.0880363561 +107670.43 2770.911 2220.012 0.0990535209 +109956.32 2507.051 2025.784 0.0563950352 +112233.43 2276.881 1854.385 0.0465671558 +114553.47 2072.054 1699.975 0.055789784 +116832.47 1894.889 1564.556 0.0373951869 +119106.31 1736.261 1442.74 0.0296984848 +121377.35 1592.277 1330.889 0.044417339 +123663.39 1469.002 1235.003 0.023283041 +127204.51 1343.354 1135.941 0.0261323554 +130367.31 1244.465 1057.437 0.0114061387 +132651.87 1149.222 981.441 0.022020445 +134973.39 1060.763 910.369 0.0163370744 +137342.39 973.003 839.631 0.0245540221 +139751.11 894.866 776.232 0.0205329004 +142169.35 826.461 720.546 0.021549942 +144585.47 763.631 669.185 0.0266926956 +146993.47 705.335 621.461 0.0215615398 +149463.43 651.072 576.737 0.0195984693 +151978.31 599.379 534.118 0.029590539 +154580.47 553.736 496.1132 0.0108671984 +157179.35 509.168 459.0848 0.0108247864 +159882.47 468.8436 425.6125 0.00794638282 +162662.47 430.7373 393.6757 0.0103711619 +165570.47 395.8739 364.3494 0.00958352753 +168568.35 363.5937 337.0796 0.00508369944 +171708.34 334.1494 312.0544 0.0099027269 +175291.39 307.0576 288.9328 0.00650661202 +179424.51 281.9014 267.3086 0.0106828835 +183673.46 258.2773 246.8958 0.00778948009 +188247.34 236.7848 228.1787 0.00935419692 +192509.34 217.1037 210.9033 0.00637973354 +196914.46 198.7328 194.6808 0.00552593883 +201352.42 182.6272 180.3184 0.00580551462 +206027.33 165.632 165.0638 0.00707361294 +210571.41 151.3614 152.1127 0.0037577919 +215149.34 138.2521 140.1373 0.00378430971 +219673.62 126.3309 129.139 0.00255734237 +224260.45 114.8299 118.4398 0.00241163845 +228798.34 104.574 108.8045 0.00258553669 +233151.38 95.5229 100.2404 0.0018984204 +237600.47 87.0347 92.1302 0.0020918891 +241964.42 79.3035 84.681 0.00191311265 +246234.19 72.2863 77.8747 0.00209308385 +250490.46 65.7741 71.4977 0.00327429382 +253817.34 62.7107 68.466 0.0019078784 +256767.46 61.0047 66.7795 0.0026201145 diff --git a/calib_data/_calib_data/calib2023-06-22_p2_c2.dat b/calib_data/_calib_data/calib2023-06-22_p2_c2.dat new file mode 100644 index 0000000..03d399b --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p2_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69855.43 30630.12 9588.01 0.296799596 +71956.36 30437.37 9543.3 0.49959984 +74287.32 26781.86 8692.34 0.325330601 +78313.40 17317.61 6321.3 0.252190404 +80521.52 14356.69 5507.69 0.68548523 +82735.43 12091.88 4849.491 0.475870676 +84982.40 10245.24 4290.218 0.206362787 +87245.43 8734.19 3810.198 0.16512904 +89478.71 7519.36 3407.407 0.109681813 +91714.39 6466.91 3042.155 0.0971416492 +93967.32 5650.09 2747.573 0.0541119211 +96217.39 4932.845 2480.187 0.102303959 +98550.43 4347.883 2252.869 0.0705896593 +100888.27 3844.738 2050.504 0.0755936505 +103158.35 3428.637 1877.52 0.0360277671 +105441.44 3074.126 1725.333 0.0438417609 +107760.47 2770.804 1591.347 0.071833836 +110048.32 2506.963 1471.019 0.0190499344 +112323.44 2276.97 1363.73 0.0352136337 +114645.67 2072.2 1265.816 0.0348769265 +116922.51 1895.006 1179.047 0.0295651822 +119195.47 1736.583 1099.703 0.0234968083 +121468.35 1592.322 1025.994 0.0213166602 +123753.43 1469.048 962.032 0.0259538051 +127295.47 1343.207 894.947 0.0196494275 +130461.43 1244.51 841.392 0.0202879274 +132742.38 1149.191 788.799 0.0265875911 +135064.38 1060.698 739.096 0.0239248824 +137432.51 972.955 689.002 0.0249719843 +139840.51 894.847 643.532 0.0267132926 +142262.51 826.462 603.155 0.020310096 +144674.43 763.615 565.407 0.0218654979 +147083.47 705.347 529.973 0.0249419326 +149554.39 651.059 496.2357 0.0120806043 +152069.32 599.364 463.8136 0.0059045745 +154671.28 553.768 434.6557 0.0120996281 +157269.35 509.143 405.8196 0.00783479419 +159975.47 468.8229 379.4262 0.00947185304 +162753.51 430.7191 353.9815 0.00679006627 +165660.46 395.8249 330.3485 0.00671602561 +168658.94 363.5433 308.1022 0.0109797996 +171797.35 334.0563 287.4667 0.00698004298 +175384.42 306.9672 268.2084 0.00557709602 +179516.23 281.8084 250.0386 0.00581755963 +183765.74 258.2035 232.6841 0.0126865677 +188340.46 236.7168 216.6038 0.00631316086 +192602.50 217.0252 201.6149 0.0101827796 +197005.46 198.6466 187.3947 0.00939366808 +201444.94 182.5618 174.6717 0.0083881464 +206118.33 165.5584 161.0171 0.00709429348 +210662.41 151.301 149.3244 0.0030893365 +215239.34 138.2047 138.3881 0.00226472956 +219764.46 126.2808 128.2506 0.00415018072 +224351.74 114.7895 118.3002 0.0013251415 +228889.34 104.5382 109.253 0.00318433667 +233246.42 95.4907 101.1362 0.00289413199 +237691.70 87.0044 93.3873 0.0018817545 +242058.34 79.2731 86.2052 0.00259152465 +246326.34 72.2666 79.5883 0.00233687826 +250580.46 65.7587 73.3425 0.00217370651 +253907.34 62.691 70.3637 0.00220476756 +256858.34 60.9911 68.7026 0.00201593651 diff --git a/calib_data/_calib_data/calib2023-06-22_p2_c4.dat b/calib_data/_calib_data/calib2023-06-22_p2_c4.dat new file mode 100644 index 0000000..ff1f3b5 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p2_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69945.44 30616.12 1509.226 0.0421947864 +72046.32 30432.79 1504.768 0.0430534551 +74378.32 26792.58 1420.095 0.0629483916 +78405.44 17317.7 1163.576 0.0552847176 +80613.72 14347.55 1065.878 0.0365184885 +82825.44 12091.56 982.344 0.0444117102 +85073.44 10244.75 907.004 0.0253061257 +87335.48 8733.7 839.281 0.0604723077 +89570.43 7521.18 779.831 0.0272194783 +91805.76 6467.56 723.449 0.0157765649 +94057.32 5649.31 675.794 0.0300399734 +96308.35 4932.346 630.815 0.0240520269 +98641.40 4348.013 591.16 0.0171464282 +100978.36 3844.645 554.449 0.0241433221 +103247.32 3428.745 521.995 0.0326266762 +105532.43 3074.202 492.4319 0.00989489768 +107851.51 2770.968 465.7114 0.0113306664 +110139.35 2507.08 441.1161 0.0113326519 +112414.48 2277.06 418.5093 0.0102039698 +114737.31 2072.383 397.2993 0.00573593933 +117013.46 1894.982 378.0249 0.00573837956 +119286.31 1736.561 359.9801 0.00629197902 +121560.63 1592.151 342.8095 0.00777335192 +123844.47 1469.02 327.5761 0.00842312294 +127387.79 1343.079 311.2188 0.00747636275 +130552.51 1244.54 297.8384 0.00828516747 +132833.51 1149.207 284.4063 0.00923585405 +135156.35 1060.693 271.4465 0.00913591813 +137522.43 972.943 258.0675 0.00610286818 +139931.47 894.824 245.6268 0.00895857131 +142352.43 826.444 234.2933 0.00654224732 +144765.43 763.592 223.4378 0.00706229424 +147175.51 705.391 212.9879 0.00848581169 +149647.43 651.058 202.8272 0.00627980891 +152165.43 599.365 192.7917 0.0073973644 +154760.47 553.775 183.5345 0.00403298897 +157362.47 509.083 174.1383 0.00923152208 +160070.47 468.7883 165.3502 0.00854845015 +162843.47 430.688 156.6039 0.00176323566 +165750.47 395.7999 148.3509 0.00254735157 +168748.59 363.5018 140.4067 0.00211210795 +171887.35 333.968 132.8789 0.00196697738 +175476.34 306.8836 125.7181 0.00267749883 +179607.42 281.7295 118.829 0.00159373775 +183855.46 258.1221 112.129 0.00222261108 +188431.39 236.6542 105.8138 0.00200399601 +192693.42 216.9454 99.8174 0.00253456111 +197095.46 198.5894 94.0308 0.00283830936 +201535.46 182.4965 88.7868 0.00258379566 +206208.34 165.5123 83.0435 0.00189868375 +210752.37 151.2454 78.0655 0.00365034245 +215330.46 138.1517 73.3247 0.00202014851 +219855.54 126.2341 68.8616 0.00386833297 +224443.38 114.7471 64.4067 0.00317820704 +228981.38 104.4941 60.3048 0.00236558661 +233335.46 95.4572 56.5735 0.00248696602 +237782.50 86.9697 52.9607 0.00327429382 +242148.34 79.2478 49.55108 0.000671833313 +246416.34 72.2465 46.39232 0.000538107796 +250672.46 65.7427 43.37129 0.00105531512 +253997.34 62.6759 41.91776 0.000723491534 +256949.34 60.9816 41.1068 0.000626418391 diff --git a/calib_data/_calib_data/calib2023-06-22_p2_c5.dat b/calib_data/_calib_data/calib2023-06-22_p2_c5.dat new file mode 100644 index 0000000..f2e21b5 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p2_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +70035.48 30605.88 1749.682 0.0564588346 +72135.43 30429 1744.417 0.0539082554 +74468.32 26796.4 1641.599 0.022425432 +78495.44 17312.8 1330.225 0.0520432512 +80704.43 14345.85 1213.435 0.103973554 +82915.43 12096.31 1114.493 0.0648390315 +85167.32 10244.46 1025.327 0.0437046908 +87427.31 8738.25 945.428 0.0401696403 +89660.44 7522.26 875.215 0.0273221522 +91896.43 6467.69 809.267 0.0262316603 +94147.31 5648.87 753.739 0.0433001155 +96398.35 4932.622 701.517 0.0244151592 +98732.40 4347.964 655.656 0.0287819388 +101069.67 3844.592 613.374 0.0156332978 +103337.35 3428.717 576.156 0.0280784615 +105622.47 3074.141 542.456 0.025385035 +107946.35 2771.027 512.007 0.0228932304 +110229.31 2507.18 483.8071 0.00782361809 +112505.43 2277.046 458.1185 0.011663833 +114829.35 2072.275 434.0999 0.0122167508 +117103.43 1895.046 412.3335 0.00998924422 +119376.31 1736.517 391.985 0.00845340168 +121652.48 1592.153 372.6473 0.00932957662 +123935.47 1468.995 355.5517 0.00680154394 +127479.47 1342.969 337.1931 0.00794411732 +130642.42 1244.567 322.2853 0.0067231689 +132925.63 1149.234 307.2812 0.0061673333 +135249.35 1060.71 292.8522 0.00573550347 +137615.72 972.969 277.9458 0.00650046152 +140022.96 894.797 264.1784 0.00948809781 +142442.47 826.431 251.6124 0.00859674357 +144855.47 763.579 239.5856 0.00998919416 +147273.03 705.348 228.0711 0.00887293638 +149738.35 651.025 216.8934 0.00629158168 +152256.31 599.343 205.8169 0.00813934887 +154850.87 553.713 195.6744 0.00466304621 +157453.43 509.048 185.3862 0.00937741969 +160162.47 468.7587 175.7887 0.0105252553 +162933.47 430.646 166.3006 0.00865239851 +165841.39 395.7725 157.2533 0.00374979999 +168839.42 363.4687 148.622 0.00281069386 +171977.34 333.9053 140.4436 0.00287123667 +175567.34 306.7933 132.6799 0.0022558812 +179699.34 281.6666 125.2366 0.0019089264 +183944.34 258.0626 118.0094 0.00318496468 +188523.46 236.6033 111.2037 0.00253396922 +192784.46 216.881 104.7479 0.00204670467 +197186.34 198.5551 98.5316 0.00328694387 +201626.38 182.4462 92.9054 0.00273934299 +206299.34 165.4666 86.7724 0.00273569004 +210845.46 151.1945 81.4492 0.00261457454 +215420.45 138.101 76.3917 0.00231106036 +219947.33 126.1888 71.6435 0.00392746738 +224532.45 114.7032 66.9157 0.00231969826 +229073.49 104.4549 62.5627 0.00213096222 +233426.34 95.4197 58.6113 0.00194961535 +237877.34 86.9407 54.7927 0.00289844786 +242239.35 79.2195 51.2164 0.00281496004 +246507.34 72.2275 47.86694 0.00108260796 +250764.46 65.7207 44.68642 0.000715234227 +254089.62 62.6619 43.15967 0.00069599569 +257039.50 60.9708 42.30912 0.000766524625 diff --git a/calib_data/_calib_data/calib2023-06-22_p2_c6.dat b/calib_data/_calib_data/calib2023-06-22_p2_c6.dat new file mode 100644 index 0000000..cfc663e --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-22_p2_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +70127.31 30592.98 50830.98 1.41702505 +72225.44 30425.4 50539.48 1.22366662 +74558.32 26795.13 44201 4.49848864 +78584.40 17306.89 27946.96 1.75654206 +80795.44 14348.29 22950.29 1.79010894 +83007.32 12092.63 19175.08 1.64102407 +85262.52 10248.31 16114.27 2.06843177 +87523.39 8734.83 13617.54 0.863041135 +89750.47 7520.54 11629.93 0.336764012 +91988.31 6466.91 9916.96 0.268774999 +94237.32 5649.55 8599.55 0.365308089 +96487.31 4932.612 7456.24 0.246657657 +98822.48 4347.638 6522.88 0.366551497 +101160.43 3844.74 5725.73 0.232400516 +103427.35 3428.489 5069.63 0.29293344 +105712.51 3074.102 4512.045 0.100072474 +108037.35 2770.961 4038.597 0.109353098 +110320.44 2507.124 3628.007 0.0705131193 +112595.55 2277.031 3271.672 0.0807192666 +114919.35 2072.157 2955.937 0.0919461799 +117195.43 1895.06 2684.186 0.0781562537 +119465.47 1736.424 2442.121 0.0718672387 +121743.43 1592.198 2223.317 0.0936594896 +124026.35 1468.998 2038.434 0.0696591703 +127570.47 1342.814 1848.926 0.0604847088 +130733.43 1244.611 1702.676 0.0554833308 +133015.59 1149.255 1560.846 0.0299733215 +135338.35 1060.698 1430.818 0.0273056771 +137705.47 973.002 1303.188 0.020774985 +140113.63 894.764 1190.369 0.0284411673 +142533.47 826.473 1092.743 0.0233687826 +144946.31 763.572 1003.688 0.0331602171 +147367.30 705.317 922.05 0.0154272486 +149829.35 651.042 846.597 0.0149030198 +152345.43 599.342 775.473 0.0251017928 +154942.51 553.648 713.176 0.018984204 +157543.39 509 652.947 0.0209308385 +160252.47 468.7359 599.266 0.0269518088 +163023.39 430.5991 548.643 0.0293955779 +165932.47 395.7187 502.727 0.034757733 +168930.54 363.4182 460.3147 0.00665289411 +172067.34 333.8386 421.9118 0.00579448013 +175656.34 306.7136 386.9017 0.0081658435 +179789.34 281.6029 354.6131 0.00655202259 +184035.46 258.0029 324.4716 0.0114106967 +188613.42 236.5428 297.1395 0.0110691011 +192874.42 216.8111 272.116 0.00730342385 +197275.46 198.4968 248.8901 0.00538971242 +201718.33 182.3775 228.6159 0.00801554739 +206390.46 165.4108 207.2474 0.00817092406 +210937.33 151.1403 189.4034 0.00876150672 +215510.51 138.0586 172.9966 0.00394765753 +220040.45 126.1465 158.0477 0.00221382023 +224624.38 114.6675 143.7161 0.00255127419 +229164.42 104.4253 130.9417 0.00298345437 +233517.34 95.389 119.6881 0.00389217163 +237967.46 86.9135 109.1424 0.00225477272 +242329.34 79.1924 99.5466 0.00239248824 +246600.46 72.2016 90.8623 0.00156875747 +250856.34 65.7003 82.7781 0.00153264477 +254180.46 62.6417 78.9793 0.00156236999 +257131.50 60.9618 76.8885 0.00243823707 diff --git a/calib_data/_calib_data/calib2023-06-27_p0_c1.dat b/calib_data/_calib_data/calib2023-06-27_p0_c1.dat new file mode 100644 index 0000000..457c41a --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p0_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64725.65 29180.04 24405.9 0.879317917 +66512.49 29004.29 24272.82 0.902972868 +68525.46 26856.16 22591.11 0.814917174 +70488.33 21569.13 18404.56 1.14150777 +72432.45 17617.07 15241.71 1.50628351 +74749.33 14516.54 12721.36 0.253456111 +76615.86 12090.99 10722.34 0.390947567 +78552.37 10161.38 9112.24 0.490958247 +80412.53 8620.63 7809.1 0.623377895 +82273.57 7344.84 6719.64 0.351909079 +84144.40 6362.25 5870.96 0.201096992 +86125.61 5510.95 5127.4 0.28213472 +88014.49 4824.451 4521.474 0.0562707739 +89873.36 4237.276 3998.271 0.0932035407 +91733.49 3749.407 3559.315 0.0910521828 +93592.77 3335.184 3183.215 0.0856066586 +95454.48 2981.481 2859.505 0.073406403 +97394.48 2675.249 2576.975 0.0731197648 +99268.32 2411.167 2331.232 0.115817097 +101129.32 2179.25 2114.483 0.0631514054 +102985.44 1979.261 1926.103 0.0704989362 +104860.68 1803.16 1759.188 0.0544205843 +106728.32 1644.884 1608.747 0.0861864258 +108597.32 1510.552 1480.267 0.0231106036 +110478.32 1372.905 1348.16 0.0190262976 +112355.45 1260.786 1240.345 0.0205060967 +114305.44 1159.833 1142.937 0.0167361883 +116179.32 1069.003 1055.242 0.0234435492 +118148.32 982.088 971.142 0.028698432 +120039.32 904.945 896.52 0.0304959014 +121972.40 836.048 829.809 0.0332701067 +123894.48 771.2 767.023 0.0261553054 +125829.32 710.819 708.67 0.0204450483 +127840.64 655.099 654.73 0.0213541565 +129841.48 602.063 603.451 0.0216540989 +131861.60 555.52 558.519 0.0192067696 +133930.43 510.368 514.918 0.0212508823 +136056.32 469.6544 475.5659 0.00688396688 +138263.40 431.2671 438.453 0.00319687347 +140561.44 396.2664 404.6087 0.00420725564 +143027.33 363.8565 373.2176 0.00636584637 +145763.52 334.299 344.5192 0.00635578477 +148916.52 307.1319 318.0716 0.00865702027 +152532.52 281.873 293.4605 0.00834056353 +156299.45 258.2033 270.2945 0.00448385994 +160114.48 236.8268 249.2663 0.0115603201 +164079.59 216.6661 229.3751 0.0090779403 +168048.36 198.2979 211.1522 0.00614459112 +172098.48 182.0585 194.9639 0.00654744225 +176477.31 164.9817 177.8689 0.00422953898 +180612.51 150.6177 163.4592 0.0154620827 +184731.48 137.483 150.0857 0.00436359943 +188921.47 125.441 137.8098 0.00354062141 +193112.43 113.8998 125.974 0.00277488739 +197304.43 103.5858 115.3336 0.00352193129 +201419.35 94.4834 105.8827 0.00328648749 +205457.51 86.0211 97.0457 0.00356665109 +209439.35 78.2113 88.8371 0.00375086657 +213405.51 71.189 81.4104 0.00228122774 +217218.31 64.6916 74.5067 0.00312425991 +220435.47 61.6901 71.292 0.00287749891 +223317.36 60.0486 69.5317 0.00209308385 diff --git a/calib_data/_calib_data/calib2023-06-27_p0_c2.dat b/calib_data/_calib_data/calib2023-06-27_p0_c2.dat new file mode 100644 index 0000000..c7502b4 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p0_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64815.65 29165.13 18222.78 0.311704989 +66603.37 28997.44 18131.37 0.247002024 +68615.45 26857.22 16944.31 0.441463475 +70578.33 21565.77 13961.58 0.777791746 +72522.41 17621.93 11691.31 2.4794939 +74840.46 14516.1 9848.93 0.395487042 +76706.33 12090.35 8378.97 0.360013889 +78642.45 10161.23 7182.05 0.340954542 +80502.41 8619.61 6207.91 0.422953898 +82364.41 7344.47 5384.27 0.190289254 +84235.72 6362.94 4736.478 0.10178212 +86216.33 5510.72 4165.387 0.0887248556 +88105.44 4824.406 3698.065 0.097079864 +89963.61 4237.285 3290.68 0.0454312668 +91824.49 3749.399 2946.686 0.0823431843 +93683.49 3335.212 2650.137 0.100030495 +95544.65 2981.558 2393.099 0.0771809562 +97485.64 2675.349 2167.699 0.0809993827 +99358.32 2411.046 1970.678 0.0599299591 +101219.32 2179.288 1795.762 0.0721637028 +103075.64 1979.243 1643.063 0.0524032442 +104951.44 1803.304 1506.442 0.0294210809 +106818.32 1644.916 1383.262 0.0305221231 +108688.36 1510.563 1278.053 0.0289153938 +110568.32 1372.877 1168.935 0.0283637092 +112445.92 1260.81 1079.351 0.0208542562 +114395.52 1159.816 998.248 0.0188573593 +116270.44 1069.044 924.842 0.0346352422 +118237.32 982.093 854.134 0.0241743666 +120128.32 904.941 791.218 0.0157353106 +122062.48 836.068 734.726 0.0231603109 +123984.56 771.21 681.357 0.0198015151 +125919.32 710.836 631.495 0.0280446073 +127931.36 655.097 585.353 0.0205450724 +129932.40 602.03 541.163 0.0247810411 +131952.48 555.57 502.2088 0.00925289144 +134020.44 510.414 464.3792 0.00793574193 +136145.44 469.6494 430.2647 0.00546635162 +138353.41 431.257 397.8462 0.00396938282 +140651.40 396.2429 368.1677 0.00523459645 +143117.32 363.8332 340.5531 0.00808510977 +145854.45 334.2181 315.1691 0.00970613208 +149015.60 307.0091 291.7239 0.00953671851 +152629.02 281.75 269.8351 0.00735995924 +156389.57 258.0985 249.2077 0.00440238572 +160205.76 236.7177 230.4199 0.00728210135 +164172.40 216.5631 212.582 0.00688186021 +168138.36 198.1998 196.1687 0.00751671471 +172189.32 181.9719 181.5972 0.00835440004 +176568.47 164.8939 166.0805 0.00482752525 +180703.52 150.5396 152.9489 0.00369174755 +184822.52 137.4127 140.8272 0.00253298243 +189012.48 125.3792 129.6093 0.00318763235 +193202.43 113.8476 118.7589 0.00356496844 +197395.47 103.539 108.9825 0.00290946731 +201509.39 94.4391 100.2681 0.00176323566 +205547.35 85.9813 92.1022 0.00275245345 +209529.35 78.1803 84.5006 0.00251077677 +213495.43 71.1582 77.6093 0.00362505172 +217308.31 64.6639 71.1839 0.00339249171 +220525.47 61.6637 68.1873 0.00291221565 +223407.31 60.0323 66.5512 0.00218082553 diff --git a/calib_data/_calib_data/calib2023-06-27_p0_c5.dat b/calib_data/_calib_data/calib2023-06-27_p0_c5.dat new file mode 100644 index 0000000..c5ee98b --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p0_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64905.46 29143.74 20174.35 0.991287042 +66694.45 28992.68 20080.48 0.862415213 +68705.45 26856.45 18742.72 0.801598403 +70669.33 21566.16 15380.35 1.53109438 +72612.41 17622.27 12816.44 2.26888519 +74931.41 14516.87 10766.79 0.375885621 +76795.45 12090.65 9128.14 0.361164782 +78732.45 10160.23 7801.11 0.507237617 +80592.41 8619.1 6720.64 0.57396864 +82455.69 7344.95 5813.5 0.341467422 +84325.65 6362.64 5102.08 0.270481053 +86307.32 5510.92 4474.477 0.101587893 +88195.44 4824.338 3963.433 0.0706406399 +90053.48 4237.122 3518.976 0.0740297238 +91915.64 3749.343 3144.588 0.103545159 +93774.40 3335.147 2822.541 0.0537856858 +95635.68 2981.543 2544.272 0.0579620566 +97575.44 2675.304 2300.289 0.0719367778 +99448.32 2410.908 2087.855 0.0778877397 +101309.33 2179.269 1899.227 0.0459575891 +103165.44 1979.277 1735.176 0.0764748325 +105040.45 1803.316 1588.679 0.0264367169 +106908.32 1645.127 1456.652 0.0301595756 +108778.36 1510.579 1344.099 0.0169381227 +110658.36 1372.88 1227.565 0.0218746429 +112535.44 1260.818 1132.02 0.028213472 +114485.48 1159.786 1045.658 0.0232723011 +116360.60 1068.985 967.581 0.0105309069 +118327.32 982.075 892.587 0.0288807895 +120218.32 904.925 825.818 0.0216240607 +122153.44 836.076 766.038 0.0295228725 +124074.52 771.171 709.56 0.0301993377 +126009.40 710.799 656.908 0.0291135707 +128021.44 655.077 608.192 0.0116447413 +130022.44 602.028 561.769 0.0181356003 +132043.40 555.583 520.892 0.0151525575 +134111.48 510.42 481.0319 0.00844564977 +136236.32 469.6493 445.2473 0.00688047963 +138443.56 431.2313 411.2895 0.00624219513 +140742.37 396.2459 380.2141 0.00598406217 +143208.32 363.8051 351.3331 0.00981982688 +145944.36 334.1646 324.8138 0.00598965775 +149105.55 306.9169 300.3242 0.00902308151 +152729.80 281.6304 277.5077 0.00863255466 +156479.65 258.0041 256.0598 0.00734411329 +160295.49 236.6326 236.5069 0.00673713589 +164263.53 216.4676 217.9972 0.00915073768 +168228.26 198.1005 201.0015 0.00794889929 +172278.49 181.8916 185.8696 0.00590796073 +176658.51 164.8139 169.8299 0.00370526652 +180794.52 150.4748 156.2549 0.00328466132 +184912.44 137.3465 143.739 0.00326802693 +189103.39 125.3239 132.1746 0.00415980769 +193293.39 113.7903 121.0023 0.00304647337 +197485.47 103.494 110.9483 0.00368252631 +201600.47 94.3979 101.998 0.00268328157 +205636.36 85.944 93.6183 0.00149030198 +209619.51 78.1483 85.8254 0.00161987654 +213585.47 71.1292 78.7597 0.00251017928 +217398.32 64.6396 72.181 0.00266458252 +220615.48 61.64 69.1138 0.00197888858 +223497.35 60.0153 67.4528 0.00270850512 diff --git a/calib_data/_calib_data/calib2023-06-27_p0_c6.dat b/calib_data/_calib_data/calib2023-06-27_p0_c6.dat new file mode 100644 index 0000000..bca18a8 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p0_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +64995.45 29126.05 20416.28 20.1729462 +66785.50 28984.08 20327.34 4.68216189 +68795.69 26853.41 18984.97 5.37399386 +70760.45 21571.24 15591.76 2.64326313 +72702.45 17630.63 13005.35 1.8126362 +75022.61 14516.8 10926.75 1.38219029 +76886.33 12090.85 9269.12 1.03409864 +78823.45 10159.97 7918.28 2.20112698 +80683.45 8620.03 6823.22 0.911899117 +82546.93 7344.16 5900.74 1.9118682 +84417.32 6361.76 5177.99 0.389217163 +86397.44 5510.24 4542.849 0.407473803 +88286.33 4824.366 4023.052 0.229925205 +90143.40 4237.134 3570.587 0.255882981 +92005.45 3749.234 3189.769 0.169902619 +93865.45 3335.103 2862.336 0.150865503 +95725.48 2981.528 2578.686 0.151150256 +97665.44 2675.275 2331.213 0.178269739 +99538.33 2411.028 2114.872 0.1361602 +101399.34 2179.121 1923.417 0.109362242 +103255.61 1979.415 1756.908 0.179709766 +105130.56 1803.091 1608.448 0.123262322 +106998.32 1645.275 1474.031 0.0399612312 +108868.32 1510.573 1359.816 0.0365294402 +110750.44 1372.87 1241.65 0.0283548938 +112625.60 1260.78 1144.803 0.0285324377 +114575.60 1159.81 1057.229 0.0298814324 +116452.52 1069.016 978.197 0.0195473783 +118417.32 982.091 902.174 0.0754612483 +120307.32 904.853 834.502 0.0312665956 +122243.48 836.08 773.985 0.0245051015 +124165.43 771.148 716.799 0.0358733885 +126100.48 710.786 663.473 0.0265725422 +128110.43 655.063 614.234 0.0268029849 +130112.60 602.035 567.137 0.0274244417 +132134.78 555.496 525.823 0.0272415124 +134201.48 510.416 485.5985 0.0111903977 +136326.32 469.6413 449.3794 0.00851610239 +138534.44 431.2328 415.0474 0.00753551591 +140833.40 396.2402 383.6309 0.00893470761 +143298.36 363.7957 354.4116 0.0103799807 +146035.44 334.1219 327.5779 0.00787711876 +149197.00 306.8167 302.7991 0.0041843757 +152828.65 281.5248 279.7465 0.00753690918 +156570.60 257.9153 258.0786 0.00958144039 +160385.44 236.5404 238.342 0.00881249113 +164354.36 216.3926 219.6494 0.00875351358 +168322.40 198.0083 202.4632 0.00813609243 +172369.36 181.8229 187.2449 0.00717000697 +176749.35 164.738 171.0643 0.00546635162 +180885.47 150.4107 157.3618 0.00311704989 +185002.39 137.2846 144.7292 0.00371160343 +189193.47 125.2718 133.0708 0.00382047118 +193384.36 113.7418 121.8041 0.00299816611 +197575.47 103.4526 111.6678 0.00329180801 +201690.43 94.3579 102.635 0.00203469899 +205725.51 85.9029 94.1844 0.00374753252 +209710.47 78.1152 86.327 0.00353270435 +213675.51 71.1009 79.2009 0.00359569187 +217488.36 64.6187 72.563 0.0024 +220707.39 61.6185 69.4857 0.00297338191 +223586.35 59.9991 67.8103 0.00336764012 diff --git a/calib_data/_calib_data/calib2023-06-27_p1_c1.dat b/calib_data/_calib_data/calib2023-06-27_p1_c1.dat new file mode 100644 index 0000000..df6ee93 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p1_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65110.49 29115.08 24360.12 0.747368718 +66899.37 28983.95 24257.88 0.699113725 +68911.49 26854.35 22592.36 0.814272682 +70874.54 21567.72 18408.15 1.04721058 +72817.34 17623 15250.07 1.66667633 +75138.34 14516.15 12721.07 0.472239346 +77002.41 12090.56 10723.29 0.331496606 +78938.34 10162.35 9111.83 0.510303831 +80798.34 8620.14 7809.68 0.831360331 +82662.45 7344.69 6720.24 0.239666435 +84533.53 6361.8 5870.95 0.231624696 +86531.41 5510.14 5126.97 0.321885073 +88402.45 4824.343 4521.378 0.0652196289 +90258.33 4237.26 3998.126 0.0891986547 +92120.68 3749.53 3559.395 0.0687058949 +93980.64 3335.163 3183.212 0.0429371634 +95841.72 2981.588 2859.391 0.0844564977 +97780.69 2675.236 2576.899 0.0785550762 +99653.40 2411.212 2331.196 0.0649030046 +101515.68 2179.306 2114.258 0.0713274141 +103372.60 1979.303 1926.194 0.0701740693 +105246.32 1803.194 1759.202 0.0885189245 +107113.52 1644.924 1608.566 0.0790847647 +108983.52 1510.566 1480.272 0.01713476 +110865.44 1372.849 1348.179 0.0241018671 +112741.40 1260.747 1240.295 0.0298747385 +114690.44 1159.823 1142.95 0.0170880075 +116567.32 1069.014 1055.217 0.0269833282 +118533.48 982.086 971.11 0.018493242 +120422.48 904.945 896.429 0.0291358885 +122358.32 836.091 829.831 0.0300482945 +124280.44 771.143 767.01 0.0173781472 +126214.56 710.816 708.682 0.00822192192 +128225.60 655.078 654.739 0.0260940606 +130227.32 602.07 603.425 0.0173349358 +132249.32 555.467 558.492 0.0203371581 +134315.44 510.37 514.834 0.0307310917 +136440.44 469.6229 475.5631 0.0057609895 +138649.32 431.2185 438.4377 0.00574986956 +140947.65 396.2207 404.577 0.0077961529 +143413.48 363.7651 373.1311 0.00776974903 +146151.36 334.0607 344.2955 0.00689818817 +149313.40 306.7067 317.6879 0.007621614 +152945.44 281.3996 292.9969 0.0109767482 +156686.33 257.8164 269.8916 0.00610933712 +160501.48 236.4214 248.882 0.0105071404 +164470.56 216.2907 229.0202 0.005330666 +168439.45 197.9153 210.7757 0.010988221 +172484.60 181.719 194.6347 0.00783843097 +176865.47 164.6751 177.5509 0.0085877238 +181001.48 150.3253 163.161 0.0062976186 +185117.35 137.2127 149.8149 0.00323558341 +189309.39 125.2074 137.5743 0.00316243577 +193500.43 113.6849 125.7506 0.00373148764 +197690.43 103.4033 115.1438 0.00164195006 +201805.43 94.3169 105.7086 0.00237991596 +205841.51 85.8726 96.881 0.00264952826 +209825.43 78.083 88.6985 0.0033384128 +213791.51 71.0666 81.2867 0.00110498869 +217604.51 64.5894 74.3944 0.00222351074 +220822.44 61.5926 71.1884 0.00134313067 +223702.52 59.9833 69.4622 0.00271219468 diff --git a/calib_data/_calib_data/calib2023-06-27_p1_c2.dat b/calib_data/_calib_data/calib2023-06-27_p1_c2.dat new file mode 100644 index 0000000..1de1c7a --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p1_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65201.41 29108.17 18191.02 0.27342275 +66989.33 28984.6 18122.28 0.434004608 +69001.37 26857.9 16945.49 0.366456 +70965.49 21570.48 13965.61 1.19928729 +72907.33 17633.66 11685.86 2.04695872 +75228.37 14515.13 9849.49 0.241847059 +77093.49 12090.44 8379.02 0.375179957 +79028.33 10161.17 7182.85 0.367763511 +80888.49 8619.68 6207.82 0.429837178 +82753.41 7344.73 5384.11 0.297136332 +84624.53 6363.44 4736.271 0.127972263 +86622.45 5510.22 4165.107 0.11036349 +88492.40 4824.256 3698.121 0.0685631096 +90348.32 4237.187 3290.743 0.0815358817 +92211.40 3749.367 2946.677 0.105915532 +94071.40 3335.261 2650.215 0.0616481954 +95932.54 2981.512 2393.135 0.0889522344 +97871.48 2675.25 2167.68 0.0941063228 +99744.49 2411.105 1970.553 0.069123802 +101605.44 2179.368 1795.643 0.0833552638 +103463.48 1979.198 1642.903 0.0727880485 +105336.33 1803.426 1506.408 0.0375179957 +107203.56 1645.04 1383.208 0.0480374854 +109074.52 1510.585 1278.062 0.028698432 +110955.44 1372.847 1168.912 0.020189106 +112832.48 1260.795 1079.332 0.026030751 +114780.44 1159.806 998.207 0.023918612 +116657.32 1068.972 924.838 0.0330393705 +118623.40 982.055 854.129 0.0321387616 +120513.47 904.931 791.176 0.0286076913 +122447.32 836.069 734.705 0.0200624026 +124371.52 771.137 681.322 0.0255264569 +126305.44 710.868 631.451 0.0330892732 +128316.32 655.057 585.3 0.0235796522 +130317.31 602.035 541.157 0.0176663522 +132339.57 555.527 502.1826 0.0122737117 +134405.44 510.422 464.3442 0.00968173538 +136531.40 469.6241 430.245 0.00258843582 +138739.48 431.2294 397.8219 0.00687524545 +141038.36 396.2148 368.1431 0.00896710656 +143503.40 363.7615 340.4671 0.00550536102 +146242.72 334.0146 315.0036 0.0081733714 +149411.53 306.6491 291.4065 0.0070501773 +153035.44 281.3386 269.4871 0.00655202259 +156777.33 257.7352 248.9068 0.00816921049 +160592.49 236.3489 230.0885 0.00656086884 +164560.45 216.2214 212.258 0.0066887966 +168530.61 197.8439 195.8676 0.00728038461 +172574.76 181.6728 181.3006 0.00616311609 +176956.31 164.6176 165.8239 0.00641163006 +181090.43 150.269 152.7037 0.00302671439 +185207.31 137.1622 140.5905 0.00330832284 +189401.47 125.1652 129.4075 0.00217830209 +193592.43 113.6396 118.5655 0.00243413229 +197780.47 103.3707 108.8172 0.002252998 +201895.48 94.2878 100.1191 0.00278010791 +205932.71 85.8433 91.9584 0.00322242145 +209916.35 78.0566 84.3855 0.0018124569 +213882.39 71.0524 77.5059 0.00217922004 +217696.35 64.5682 71.0881 0.00199724811 +220912.43 61.5754 68.0977 0.00218654979 +223793.47 59.9716 66.4963 0.00208350666 diff --git a/calib_data/_calib_data/calib2023-06-27_p1_c5.dat b/calib_data/_calib_data/calib2023-06-27_p1_c5.dat new file mode 100644 index 0000000..9956e93 --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p1_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65291.46 29095.75 20143.64 0.935221899 +67080.45 28981.3 20075.51 0.732181671 +69091.37 26858.26 18743.62 0.822046227 +71056.01 21568.05 15373.67 0.847590703 +72997.33 17638.8 12827.83 1.95704113 +75318.33 14515.43 10765.71 0.273294713 +77183.37 12090.41 9128.01 0.359290968 +79117.37 10159.32 7801.65 0.606341488 +80978.33 8619.91 6720.93 0.472451056 +82844.45 7345.63 5813.19 0.302803567 +84715.68 6363.63 5101.88 0.288027776 +86712.49 5510.6 4474.317 0.110517419 +88582.40 4824.091 3963.44 0.0795487272 +90438.33 4237.152 3518.846 0.108666462 +92301.45 3749.357 3144.662 0.0682905557 +94162.36 3335.318 2822.614 0.0621321173 +96023.40 2981.481 2544.24 0.0808579 +97961.48 2675.201 2300.492 0.0845316509 +99835.48 2410.898 2087.929 0.101009406 +101695.64 2179.247 1899.373 0.078829563 +103554.64 1979.321 1735.038 0.0886882179 +105427.32 1803.488 1588.596 0.0303051151 +107293.44 1645.267 1456.627 0.03361696 +109164.56 1510.589 1344.068 0.0266383183 +111045.68 1372.858 1227.514 0.0255812431 +112922.40 1260.758 1132.059 0.0265875911 +114870.72 1159.769 1045.646 0.0214102779 +116747.32 1069.001 967.617 0.0286722863 +118713.48 982.038 892.577 0.0211210795 +120603.36 904.881 825.826 0.0227244362 +122538.32 836.013 766.004 0.0216887067 +124460.44 771.135 709.536 0.0352193129 +126396.36 710.816 656.893 0.028567464 +128407.32 655.036 608.187 0.0298345437 +130407.32 602.011 561.733 0.0231969826 +132429.52 555.484 520.925 0.0306349474 +134495.44 510.419 481.0136 0.0120923116 +136622.72 469.6298 445.2302 0.0064386334 +138829.32 431.2259 411.2833 0.00994188111 +141129.32 396.2087 380.1992 0.00638874009 +143593.36 363.7541 351.2846 0.00880249964 +146333.41 333.9688 324.6639 0.00595726447 +149504.68 306.5737 300.0395 0.00816976132 +153126.32 281.2732 277.1776 0.00494813096 +156867.32 257.6698 255.7566 0.00369648482 +160682.45 236.2721 236.2163 0.00839767825 +164650.58 216.169 217.7213 0.00667690048 +168623.59 197.7723 200.6906 0.00918607642 +172664.80 181.6095 185.6047 0.0069123802 +177047.36 164.5502 169.5821 0.00599074286 +181180.47 150.227 156.0202 0.00185903201 +185297.35 137.1182 143.5159 0.00318888695 +189491.47 125.126 131.9848 0.00261457454 +193682.39 113.6038 120.8244 0.00206494552 +197870.43 103.3376 110.7963 0.00254184972 +201986.35 94.2566 101.858 0.00172046505 +206023.59 85.806 93.4832 0.00213915871 +210007.35 78.0296 85.7203 0.00246190983 +213972.51 71.0357 78.6686 0.00239248824 +217787.35 64.5516 72.0896 0.00173896521 +221003.43 61.5559 69.0394 0.00214102779 +223884.39 59.9582 67.4009 0.00162141913 diff --git a/calib_data/_calib_data/calib2023-06-27_p1_c6.dat b/calib_data/_calib_data/calib2023-06-27_p1_c6.dat new file mode 100644 index 0000000..16fcf2b --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p1_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65381.37 29082.63 20385.77 8.27847872 +67172.41 28981.58 20320.48 5.70771057 +69182.50 26854.14 19002.38 5.80849034 +71147.33 21566.73 15606.31 1.82046423 +73088.49 17634.76 13004.81 2.23192518 +75408.46 14516.05 10928.49 1.12866736 +77273.69 12090.82 9269.11 0.754778113 +79207.33 10159.22 7920.85 2.17201519 +81068.33 8619.54 6822.18 0.783938773 +82935.49 7345.41 5900.87 0.403744969 +84805.65 6362.16 5177.74 0.447928566 +86802.49 5510.79 4542.504 0.200395609 +88673.37 4823.99 4022.372 0.177774014 +90528.52 4237.243 3570.357 0.160368638 +92390.44 3749.41 3189.49 0.133873074 +94252.40 3335.198 2862.1 0.196707905 +96114.36 2981.432 2579.044 0.0777971722 +98052.49 2675.218 2331.21 0.126664912 +99925.44 2410.906 2115.188 0.192529478 +101785.44 2179.378 1923.248 0.0811763512 +103645.57 1979.413 1756.826 0.148823385 +105518.32 1803.145 1608.856 0.116217038 +107384.68 1645.335 1474.053 0.0586011945 +109255.64 1510.595 1359.944 0.0520422905 +111135.44 1372.839 1241.642 0.0317742034 +113012.36 1260.719 1144.848 0.0671386625 +114959.32 1159.717 1057.289 0.0419869027 +116837.32 1068.963 978.15 0.0357491259 +118803.44 982.033 902.198 0.0252111087 +120693.40 904.903 834.494 0.035922138 +122628.32 836.003 773.988 0.0219909072 +124551.52 771.169 716.796 0.0342403271 +126485.60 710.8 663.536 0.0122637678 +128497.32 655.05 614.203 0.015559563 +130498.32 602.021 567.207 0.0237086482 +132519.60 555.438 525.845 0.0301744925 +134584.48 510.397 485.5497 0.0115767439 +136713.36 469.6276 449.384 0.00823893197 +138920.44 431.2222 415.0213 0.0120855699 +141220.88 396.2058 383.6048 0.00648814303 +143684.48 363.7548 354.3871 0.0101827796 +146424.73 333.9456 327.4346 0.00667712513 +149613.37 306.5294 302.538 0.00472228758 +153217.33 281.2182 279.4437 0.00639382515 +156958.32 257.6183 257.7896 0.00456771278 +160772.36 236.2141 238.0723 0.00510695604 +164741.53 216.1082 219.3951 0.00742489057 +168714.56 197.7138 202.21 0.00858603517 +172757.52 181.5481 186.9941 0.0064100702 +177138.36 164.5023 170.7941 0.009009384 +181271.43 150.1797 157.1447 0.00261553054 +185388.35 137.0771 144.5234 0.00334723767 +189581.44 125.0889 132.8946 0.00236727692 +193773.39 113.5688 121.6317 0.00284973683 +197961.67 103.3065 111.5216 0.00205523721 +202076.35 94.2274 102.508 0.00174355958 +206114.43 85.776 94.0559 0.0020709901 +210097.35 78.0117 86.2287 0.00262316603 +214062.39 71.0163 79.1125 0.00168077363 +217877.39 64.5376 72.4881 0.00276568256 +221093.51 61.5431 69.4089 0.00241018671 +223975.44 59.9499 67.7561 0.00179694185 diff --git a/calib_data/_calib_data/calib2023-06-27_p2_c1.dat b/calib_data/_calib_data/calib2023-06-27_p2_c1.dat new file mode 100644 index 0000000..38f1acf --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p2_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65497.49 29070.32 24324.09 0.605053717 +67287.33 28982.4 24254.15 0.695305688 +69297.33 26855.05 22589.81 0.662638665 +71263.45 21571.99 18407.06 1.9504461 +73204.33 17635.63 15250.24 2.52615122 +75524.61 14515.45 12720.63 0.318763235 +77389.46 12090.23 10722.01 0.412662089 +79322.45 10161.02 9111.57 0.563568984 +81183.45 8618.31 7809.57 0.632463438 +83051.41 7344.65 6720 0.36 +84921.48 6361.79 5870.91 0.369986486 +86917.32 5509.72 5126.36 0.232894826 +88788.33 4824.127 4521.319 0.0893246886 +90644.48 4237.182 3997.99 0.0401746189 +92505.64 3749.379 3559.281 0.0712804321 +94368.33 3335.132 3183.092 0.085097591 +96230.46 2981.578 2859.495 0.0568550789 +98170.45 2675.214 2576.817 0.0430360314 +100040.68 2411.034 2331.393 0.0662276377 +101900.45 2179.42 2114.374 0.0816602719 +103761.48 1979.258 1925.9 0.0450777107 +105633.52 1803.064 1759.109 0.0436451601 +107500.60 1644.975 1608.758 0.0408607391 +109371.48 1510.572 1480.308 0.0196367003 +111251.40 1372.841 1348.202 0.0130230565 +113128.32 1260.771 1240.262 0.0196875595 +115075.64 1159.776 1142.924 0.0260844781 +116952.48 1069.045 1055.203 0.0340308683 +118919.32 982.096 971.102 0.0247305479 +120807.32 904.915 896.414 0.0270628897 +122743.40 836.05 829.785 0.0214126131 +124667.32 771.157 767.041 0.0248374717 +126600.44 710.773 708.559 0.0190499344 +128612.60 655.045 654.761 0.0270351623 +130613.48 601.993 603.478 0.0201395134 +132634.48 555.481 558.483 0.0157511904 +134700.52 510.342 514.874 0.0179555005 +136829.55 469.6094 475.5448 0.00868999425 +139035.52 431.2179 438.4271 0.00774525661 +141336.33 396.2143 404.5682 0.00628458431 +143800.52 363.7511 373.1089 0.00610974631 +146540.56 333.9289 344.1573 0.00783077263 +149728.32 306.4724 317.4411 0.00584542556 +153332.36 281.1559 292.7474 0.00725837447 +157073.49 257.5323 269.6381 0.0081245923 +160887.44 236.1576 248.6031 0.00676084314 +164855.44 216.0362 228.7564 0.00675899401 +168830.78 197.6441 210.5117 0.00824141978 +173072.43 181.3967 194.3276 0.0068457286 +177253.39 164.4238 177.3161 0.00726147368 +181385.44 150.1203 162.9579 0.00636780967 +185503.47 137.0173 149.6183 0.00337357377 +189696.32 125.0382 137.3985 0.00153785565 +193889.35 113.5238 125.594 0.0029563491 +198077.35 103.273 115.0083 0.00394474334 +202191.39 94.1977 105.5845 0.00245458754 +206230.43 85.7526 96.7583 0.00138600144 +210213.51 77.995 88.6047 0.0010397115 +214178.35 70.9993 81.2142 0.00264121184 +217994.43 64.5236 74.3218 0.00238662942 +221208.31 61.5336 71.1242 0.00291135707 +224091.43 59.9368 69.4129 0.00259403161 diff --git a/calib_data/_calib_data/calib2023-06-27_p2_c2.dat b/calib_data/_calib_data/calib2023-06-27_p2_c2.dat new file mode 100644 index 0000000..d0d514c --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p2_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65588.34 29064.81 18169.15 0.505420617 +67378.33 28981.14 18121.81 0.56770591 +69387.34 26856.71 16944.84 0.414294581 +71354.41 21576.74 13967.57 1.1559455 +73295.46 17628.82 11688.72 2.68781696 +75615.45 14515.44 9848.48 0.217163533 +77480.65 12090.67 8378.35 0.241764348 +79412.45 10160.37 7183.56 0.253456111 +81273.52 8618.95 6207.01 0.558471127 +83140.69 7344.77 5384.2 0.200499377 +85012.40 6362.19 4736.419 0.202101212 +87007.32 5509.97 4164.937 0.0988943881 +88878.36 4824.165 3697.879 0.06231292 +90735.73 4237.125 3290.636 0.0400049997 +92595.45 3749.475 2946.643 0.0396749291 +94458.32 3335.119 2650.108 0.086842386 +96320.44 2981.649 2393.082 0.0728807245 +98260.44 2675.035 2167.706 0.0792615922 +100131.40 2411.015 1970.603 0.0883408173 +101990.44 2179.288 1795.518 0.0812132994 +103851.40 1979.377 1642.798 0.0356875328 +105724.44 1803.247 1506.492 0.039364959 +107591.44 1645.096 1383.197 0.0340602408 +109462.60 1510.562 1278.054 0.020697826 +111342.52 1372.877 1168.947 0.0277506757 +113218.32 1260.741 1079.358 0.0248917657 +115165.64 1159.799 998.198 0.0221720545 +117043.48 1069.034 924.828 0.0157353106 +119010.48 982.046 854.14 0.0281780056 +120897.32 904.89 791.182 0.0232292919 +122834.48 836.059 734.709 0.0199724811 +124757.64 771.11 681.304 0.0224588513 +126691.39 710.777 631.469 0.0177454219 +128703.60 655.007 585.224 0.0229869528 +130703.48 601.998 541.14 0.0278208555 +132724.48 555.514 502.1657 0.0111148999 +134789.32 510.341 464.3353 0.0126554731 +136919.60 469.6231 430.2312 0.00583917802 +139125.60 431.2329 397.8188 0.00744150522 +141427.32 396.2029 368.1242 0.00499159293 +143889.64 363.7671 340.4584 0.00669357901 +146634.52 333.9104 314.9015 0.00901249133 +149818.52 306.4276 291.236 0.00562672196 +153423.44 281.1026 269.2768 0.00714534814 +157163.40 257.4883 248.6691 0.00842312294 +160978.36 236.106 229.886 0.00628490254 +164946.36 215.984 212.048 0.0094095696 +168921.60 197.6002 195.648 0.0061951594 +173163.52 181.3475 181.0312 0.00557279104 +177343.59 164.3764 165.6319 0.00842549702 +181474.43 150.0833 152.527 0.00186547581 +185593.47 136.9873 140.4283 0.00353284588 +189785.59 125.009 129.2662 0.00253298243 +193978.31 113.5023 118.4343 0.00363331804 +198168.31 103.2453 108.7016 0.002079423 +202281.67 94.1763 100.0177 0.00231969826 +206321.39 85.731 91.8564 0.00259306768 +210304.43 77.9798 84.3071 0.0022020445 +214268.31 70.9879 77.4384 0.00150465943 +218085.75 64.5112 71.0209 0.00324792241 +221298.35 61.5225 68.0423 0.00189235303 +224181.64 59.9269 66.4512 0.0017595454 diff --git a/calib_data/_calib_data/calib2023-06-27_p2_c5.dat b/calib_data/_calib_data/calib2023-06-27_p2_c5.dat new file mode 100644 index 0000000..6dec79c --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p2_c5.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65680.69 29058.61 20120.61 0.825887402 +67468.33 28978.21 20071.42 0.703960226 +69477.33 26856.14 18743.29 0.744372219 +71445.45 21576.6 15377.29 1.13449989 +73385.65 17623.86 12818.73 1.09426231 +75706.33 14516.14 10765.51 0.302142351 +77570.61 12090.35 9127.99 0.339838197 +79503.53 10160.53 7800.83 0.388085042 +81364.69 8619.45 6721.4 0.602494813 +83231.37 7344.46 5813.14 0.166853229 +85103.36 6362.35 5102.21 0.27256192 +87098.32 5510.51 4474.183 0.130851442 +88968.32 4824.131 3963.444 0.0406988943 +90825.72 4237.218 3518.814 0.0600699592 +92686.32 3749.408 3144.568 0.0695384786 +94548.32 3335.079 2822.519 0.0653980122 +96411.36 2981.582 2544.197 0.0782182843 +98352.40 2675.083 2300.496 0.0540592268 +100221.36 2410.952 2087.779 0.047317016 +102079.32 2179.247 1899.239 0.111062595 +103941.44 1979.329 1734.967 0.0701291665 +105815.52 1803.352 1588.63 0.0350998575 +107680.44 1645.243 1456.573 0.0390909197 +109553.68 1510.574 1344.069 0.0314149646 +111432.48 1372.87 1227.544 0.0153101274 +113308.32 1260.723 1132.011 0.0194653538 +115256.32 1159.806 1045.619 0.0280517379 +117134.44 1069.011 967.592 0.0171930218 +119100.56 982.041 892.588 0.0146150607 +120987.32 904.858 825.754 0.0151129084 +122924.72 836.043 766.09 0.023194827 +124847.60 771.129 709.57 0.0270554985 +126782.48 710.804 656.899 0.0272194783 +128794.40 655.022 608.148 0.0249319073 +130794.56 602.025 561.773 0.0151690474 +132815.44 555.538 520.866 0.0166853229 +134879.52 510.369 481.0181 0.0107781724 +137010.44 469.6167 445.244 0.00707530918 +139216.32 431.2159 411.2428 0.00745627253 +141517.32 396.1967 380.1781 0.00748124321 +143980.44 363.7519 351.2903 0.00774086558 +146729.36 333.8907 324.5702 0.00940616819 +149909.61 306.3953 299.8725 0.00517542269 +153513.41 281.052 276.9836 0.00540592268 +157253.52 257.45 255.5519 0.00427656404 +161068.36 236.0552 236.0071 0.004572636 +165036.36 215.9464 217.5138 0.0073304843 +169012.44 197.5643 200.4848 0.00891941702 +173253.39 181.3101 185.32 0.00629285309 +177433.43 164.3372 169.3809 0.0047674941 +181564.44 150.0506 155.8476 0.00212696968 +185683.48 136.951 143.3542 0.00274517759 +189875.43 124.9796 131.8497 0.00246190983 +194067.35 113.472 120.6983 0.00204963411 +198258.35 103.2199 110.6871 0.00297136332 +202371.48 94.1571 101.7615 0.0023843238 +206411.43 85.7135 93.3893 0.00231969826 +210395.56 77.9662 85.6477 0.00221382023 +214357.35 70.9788 78.6148 0.00252111087 +218175.47 64.5021 72.0406 0.00182866071 +221387.35 61.5103 68.9937 0.00174384632 +224272.40 59.921 67.3614 0.00305679571 diff --git a/calib_data/_calib_data/calib2023-06-27_p2_c6.dat b/calib_data/_calib_data/calib2023-06-27_p2_c6.dat new file mode 100644 index 0000000..cea763e --- /dev/null +++ b/calib_data/_calib_data/calib2023-06-27_p2_c6.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +65770.45 29049.11 20373.67 4.73415357 +67557.33 28975.9 20320.02 5.53797436 +69567.37 26854.33 19003.04 5.82894845 +71535.57 21570.93 15590.59 1.84404176 +73475.65 17624.72 13015.31 2.67426438 +75797.34 14516.72 10929.44 1.56870647 +77660.45 12090.15 9267.02 0.986083161 +79594.53 10161.26 7920.24 1.13931558 +81455.45 8619.5 6824.75 1.37479089 +83322.57 7344.48 5901.33 0.728978738 +85192.37 6361.99 5177.68 0.46406896 +87188.33 5510.42 4542.873 0.135705932 +89058.53 4824.134 4022.861 0.26872458 +90915.45 4237.327 3570.45 0.202494444 +92775.45 3749.341 3189.433 0.153395241 +94638.37 3335.142 2861.826 0.142654828 +96502.37 2981.592 2578.901 0.135937118 +98448.32 2675.277 2330.996 0.145094452 +100311.44 2410.999 2115.023 0.0981432626 +102168.32 2179.199 1923.479 0.116029738 +104032.40 1979.306 1756.828 0.123043082 +105905.45 1803.165 1608.577 0.104566247 +107771.40 1645.285 1473.933 0.0302009934 +109644.40 1510.578 1359.777 0.0346713138 +111522.65 1372.865 1241.619 0.0404833299 +113397.32 1260.765 1144.863 0.0275336158 +115346.32 1159.767 1057.258 0.0431462629 +117225.44 1069.017 978.176 0.0304039471 +119191.44 982.065 902.188 0.0191728975 +121078.36 904.828 834.529 0.0847755861 +123014.36 836.01 773.905 0.0212720474 +124938.32 771.132 716.743 0.0288461436 +126873.48 710.805 663.517 0.028567464 +128885.44 655.01 614.213 0.0161895028 +130885.44 602.03 567.164 0.0198595065 +132906.32 555.462 525.815 0.031344856 +134971.44 510.388 485.5571 0.0123080868 +137100.44 469.6133 449.3715 0.00666370768 +139305.48 431.2064 415.0083 0.00296327522 +141608.32 396.1904 383.5866 0.00945748381 +144072.68 363.7379 354.3651 0.00612935559 +146819.32 333.8651 327.3483 0.00565340605 +150015.92 306.3693 302.3719 0.00702773079 +153604.32 281.0124 279.2771 0.00739790511 +157343.77 257.4063 257.6169 0.00600907647 +161158.33 236.014 237.8745 0.00745955763 +165126.33 215.9198 219.196 0.0108480413 +169102.52 197.5242 202.0315 0.00335931541 +173343.47 181.2838 186.7313 0.00694413422 +177524.47 164.3107 170.6536 0.0103780538 +181655.55 150.0143 156.9786 0.00151789328 +185774.47 136.9207 144.3739 0.00268123106 +189965.43 124.9542 132.7703 0.00273879536 +194158.31 113.447 121.5189 0.00218380402 +198348.31 103.1994 111.4204 0.00171580885 +202461.46 94.1405 102.4181 0.0022997826 +206501.43 85.7004 93.9753 0.00169735088 +210485.43 77.9503 86.1611 0.00210451895 +214447.31 70.9687 79.0648 0.00228823076 +218265.47 64.4916 72.4388 0.00261839646 +221477.35 61.5053 69.3651 0.00107191418 +224362.47 59.9127 67.7205 0.00255049015 diff --git a/calib_data/_calib_data/calib2024-11-05_p0_c1.dat b/calib_data/_calib_data/calib2024-11-05_p0_c1.dat new file mode 100644 index 0000000..4649202 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-05_p0_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +52645.67 30025.93 21644.83 0.604160575 +54165.64 29820.11 21510.91 0.467856816 +55898.44 26798.32 19520.59 0.169970586 +57569.45 21543.45 16005.45 0.632653144 +59463.51 17471.86 13249.78 0.481414582 +61036.47 14493.93 11170.02 2.23731089 +62615.64 12077.75 9459.09 0.50208565 +64195.65 10152.99 8072.99 0.240187427 +65773.50 8613.67 6946.72 0.20189106 +67348.43 7341.07 6000.22 0.247305479 +68920.60 6358.98 5258.48 0.212037732 +70500.57 5511.73 4608.923 0.084273958 +72089.46 4824.847 4078.147 0.0487042093 +73666.43 4238.265 3616.722 0.0266758318 +75250.59 3750.405 3228.207 0.0175527776 +76829.44 3336.112 2894.11 0.0349571166 +78410.57 2982.224 2605.789 0.0223807953 +79990.57 2675.836 2353.485 0.0362008287 +81566.47 2411.715 2133.55 0.0143527001 +83141.64 2179.86 1939.095 0.0199624648 +84720.60 1979.852 1769.678 0.026030751 +86297.45 1802.673 1618.501 0.012525973 +87925.66 1644.566 1482.174 0.0198595065 +89516.43 1510.223 1366.433 0.00693541635 +91121.59 1372.584 1246.724 0.00603324125 +92723.60 1260.576 1148.772 0.00394968353 +94321.57 1159.679 1060.275 0.00533853913 +95920.58 1068.955 980.341 0.003591657 +97635.83 981.947 903.534 0.00404969135 +99248.43 904.734 835.127 0.00664078309 +100875.80 835.783 774.011 0.00830060239 +102505.81 770.855 716.33 0.00509901951 +104148.42 710.532 662.67 0.00509901951 +105820.59 654.781 613.046 0.00404969135 +107508.45 601.812 565.814 0.00451663592 +109223.49 555.283 524.292 0.00394968353 +110988.42 510.188 483.7859 0.00761636396 +112805.67 469.4319 447.508 0.00218632111 +114699.44 431.0711 413.0986 0.00161369142 +116660.61 396.1022 381.6616 0.00137258879 +118719.45 363.6915 352.4441 0.00179136819 +120916.47 333.9582 325.5539 0.00230412673 +123338.44 306.4728 300.5998 0.0029387072 +126000.57 281.0538 277.4225 0.00349356551 +128781.63 257.439 255.7868 0.0025051946 +131624.48 236.0546 236.089 0.00288790582 +134587.42 215.9315 217.4444 0.00288513431 +137610.60 197.5044 200.2677 0.00298010067 +140649.42 181.3249 185.0878 0.00313623979 +143855.67 164.2046 168.9138 0.00276694778 +147072.65 149.8864 155.2994 0.00208422648 +150279.43 136.8093 142.7678 0.00193804025 +153548.44 124.8485 131.2252 0.001713476 +156811.63 113.3616 120.0591 0.00175755512 +160074.52 103.1222 110.0317 0.00173810241 +163341.62 94.0455 101.0804 0.00146424042 +166545.64 85.6353 92.7272 0.00157353106 +169689.41 77.938 85.0304 0.0014366628 +172774.52 70.9744 78.0162 0.00122311079 +175740.61 64.5258 71.4761 0.00108120303 +178462.58 61.4869 68.3755 0.000452769257 +180940.60 59.8775 66.7298 0.000613188389 diff --git a/calib_data/_calib_data/calib2024-11-05_p0_c2.dat b/calib_data/_calib_data/calib2024-11-05_p0_c2.dat new file mode 100644 index 0000000..14b0f00 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-05_p0_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +52736.47 30010.42 43743.5 0.91476773 +54256.48 29811.25 43448.42 0.560142839 +55988.44 26798.83 38847.85 0.509165985 +57660.62 21547.17 30885.54 2.12650888 +59553.51 17471.95 24849.04 0.883764675 +61127.44 14492.69 20416.76 5.76022916 +62706.44 12077.29 16859.14 1.03404062 +64286.41 10154.29 14048.69 0.387414507 +65863.50 8613.94 11825.59 0.538785672 +67438.43 7341.3 10000.15 0.190394328 +69011.64 6358.91 8601.37 0.325898757 +70591.62 5511.92 7401.95 0.0886002257 +72180.61 4824.843 6440 0.0916515139 +73757.42 4238.205 5618.42 0.0797496081 +75341.63 3750.668 4937.938 0.0790670601 +76920.60 3336.14 4364.047 0.064172424 +78501.65 2982.292 3876.312 0.0435844009 +80081.62 2675.955 3455.968 0.0736586723 +81657.43 2411.783 3094.888 0.0628140112 +83232.64 2180.01 2779.726 0.0253061257 +84811.65 1980.019 2509.395 0.0265047166 +86388.45 1802.671 2270.668 0.0226627448 +88016.46 1644.572 2058.638 0.017538529 +89607.43 1510.182 1880.309 0.0442594623 +91212.63 1372.54 1697.89 0.0397240481 +92814.61 1260.578 1549.958 0.0131757353 +94412.57 1159.73 1418.091 0.0135977939 +96011.62 1068.966 1300.255 0.0168077363 +97726.47 981.951 1188.079 0.017461386 +99338.44 904.741 1089.308 0.00660302961 +100966.44 835.81 1001.809 0.0135240526 +102596.49 770.866 920.102 0.0139140217 +104238.42 710.515 844.797 0.00648845128 +105911.56 654.805 775.802 0.00784856675 +107598.41 601.814 710.769 0.00767463354 +109313.49 555.285 654.112 0.00689927532 +111078.46 510.191 599.562 0.00562138773 +112896.47 469.4216 550.96 0.0112249722 +114790.60 431.0525 505.207 0.0127318498 +116751.61 396.0923 463.5746 0.00338289817 +118810.58 363.6749 425.3798 0.00261074702 +121007.43 333.924 390.4894 0.00200599103 +123428.45 306.4122 358.3489 0.00215615398 +126091.61 280.9827 328.7453 0.00242507732 +128872.67 257.3704 301.3308 0.00192249837 +131715.65 235.9818 276.5472 0.00283125414 +134678.42 215.8627 253.2665 0.0030273751 +137701.60 197.437 231.9714 0.003228622 +140740.62 181.2583 213.2868 0.00233580821 +143946.48 164.1458 193.524 0.00219089023 +147163.50 149.8283 177.0525 0.00693000722 +150370.59 136.7531 161.9442 0.00629094587 +153638.45 124.8036 148.0859 0.00191023559 +156902.67 113.3176 134.8048 0.00151525575 +160165.64 103.0844 122.9774 0.00147105404 +163432.66 94.012 112.5692 0.00146833239 +166636.43 85.6031 102.7027 0.00124939986 +169780.57 77.9078 93.6951 0.00138166566 +172867.71 70.9468 85.575 0.0012083046 +175831.61 64.5025 78.039 0.00107703296 +178553.58 61.4723 74.4894 0.000723878443 +181031.60 59.8676 72.6077 0.000633245608 diff --git a/calib_data/_calib_data/calib2024-11-05_p0_c4.dat b/calib_data/_calib_data/calib2024-11-05_p0_c4.dat new file mode 100644 index 0000000..14dd127 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-05_p0_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +52827.43 29995.18 27941.64 0.585354593 +54347.44 29804.12 27774.86 0.294346734 +56078.44 26798.18 25106.79 0.329681665 +57751.62 21544.98 20399.6 0.804238771 +59643.50 17472.31 16745.24 0.567661871 +61218.44 14496.36 14017.14 1.94875345 +62797.44 12077.34 11775.98 0.668101789 +64377.41 10154.13 9981.7 0.2310844 +65953.51 8613.93 8533.59 0.289637705 +67528.43 7341.24 7325.31 0.172307864 +69102.48 6359.2 6383.69 0.223807953 +70682.48 5511.54 5565.92 0.0485798312 +72271.65 4825.138 4898.836 0.0305352256 +73848.43 4238.223 4323.189 0.0241847059 +75432.64 3750.757 3841.054 0.0183956517 +77011.65 3336.177 3428.705 0.035531676 +78592.61 2982.32 3074.285 0.0514635794 +80172.62 2675.967 2765.539 0.0425781634 +81748.43 2411.788 2497.49 0.00948683298 +83323.52 2179.996 2261.376 0.00493963561 +84902.65 1980.04 2056.857 0.0148357676 +86521.61 1802.642 1874.515 0.0141598023 +88107.42 1644.455 1711.36 0.0134164079 +89705.71 1510.204 1572.516 0.0219180291 +91303.60 1372.522 1429.78 0.00721110255 +92905.73 1260.616 1313.529 0.0138888444 +94503.57 1159.75 1208.666 0.00709929574 +96102.66 1069.005 1114.313 0.0122515305 +97817.43 981.962 1023.841 0.00727323862 +99428.44 904.72 943.657 0.00566568619 +101057.45 835.834 872.153 0.0076223356 +102687.42 770.881 804.884 0.00352136337 +104328.43 710.528 742.496 0.00404969135 +106002.59 654.808 685.003 0.00448330235 +107688.44 601.819 630.453 0.00448330235 +109403.53 555.288 582.624 0.00252982213 +111169.42 510.142 536.313 0.00284604989 +112987.43 469.4219 494.6109 0.00374819957 +114881.48 431.0507 455.3478 0.00304893424 +116842.65 396.0866 419.5831 0.00232142198 +118901.62 363.6612 386.4387 0.00151690474 +121098.43 333.8941 355.9988 0.00164195006 +123518.44 306.359 327.8147 0.00118363846 +126182.66 280.9206 301.7493 0.00203002463 +128963.51 257.311 277.5113 0.00184418003 +131806.45 235.917 255.4966 0.00285026315 +134768.42 215.8006 234.7421 0.00202212759 +137792.68 197.3766 215.6724 0.00260076912 +140830.57 181.1996 198.876 0.00247790234 +144037.43 164.0893 181.0447 0.00238348484 +147253.54 149.7735 166.1283 0.00564101055 +150461.63 136.7058 152.3537 0.00159405144 +153729.45 124.7627 139.7575 0.00158902486 +156993.51 113.2779 127.5956 0.00163217646 +160256.45 103.049 116.7191 0.00103392456 +163523.50 93.9819 107.0382 0.00108443534 +166727.44 85.5738 98.0249 0.000963846461 +169871.62 77.8804 89.7426 0.00123450395 +172958.43 70.9219 82.2205 0.000827647268 +175922.57 64.4806 75.2281 0.00088825672 +178643.50 61.4595 71.9384 0.000473286383 +181122.59 59.8585 70.1923 0.000317804972 diff --git a/calib_data/_calib_data/calib2024-11-05_p1_c1.dat b/calib_data/_calib_data/calib2024-11-05_p1_c1.dat new file mode 100644 index 0000000..bf4821b --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-05_p1_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +52943.51 29973.28 21611.38 0.682905557 +54464.52 29793.34 21492.87 0.367437069 +56194.49 26796.04 19519.24 0.0695701085 +57867.42 21547.21 16012.38 0.950873283 +59758.42 17473.47 13251.75 0.43617657 +61334.63 14494.54 11170.39 2.59146484 +62913.52 12077.32 9458.91 0.550354431 +64493.45 10152.8 8073.01 0.331798131 +66068.42 8613.82 6946.86 0.256203044 +67643.47 7340.55 6000.25 0.215058132 +69218.44 6358.43 5259.12 0.117303026 +70798.44 5511.92 4608.901 0.09351417 +72387.42 4825.041 4078.205 0.0286792608 +73963.51 4238.226 3616.7 0.0389871774 +75548.44 3750.493 3228.153 0.0431520567 +77127.40 3336.1 2894.191 0.0245132617 +78708.45 2982.287 2605.744 0.0211754575 +80288.46 2675.922 2353.454 0.0251475645 +81863.51 2411.564 2133.693 0.0262697545 +83438.43 2179.904 1939.043 0.0279660508 +85018.45 1979.972 1769.788 0.0117303026 +86637.41 1802.635 1618.435 0.0110679718 +88223.50 1644.677 1482.186 0.0445466048 +89821.59 1510.262 1366.449 0.0059076222 +91419.44 1372.562 1246.643 0.00600832755 +93021.56 1260.56 1148.804 0.00428952212 +94618.46 1159.707 1060.291 0.00457165178 +96319.30 1068.973 980.329 0.00457165178 +97933.67 981.94 903.484 0.0032249031 +99543.63 904.701 835.13 0.00489897949 +101173.65 835.777 773.977 0.00284604989 +102803.66 770.864 716.313 0.00448330235 +104443.51 710.522 662.673 0.00470106371 +106118.43 654.78 613.034 0.00493963561 +107803.52 601.804 565.815 0.00430116263 +109519.42 555.273 524.286 0.00252982213 +111285.66 510.169 483.7752 0.00788010152 +113103.52 469.4262 447.4995 0.00223271136 +114997.43 431.05 413.0816 0.00205036582 +116958.41 396.0706 381.6339 0.00228232338 +119017.42 363.6426 352.4015 0.000886002257 +121213.51 333.8587 325.4625 0.00117686023 +123633.52 306.2846 300.4374 0.002079423 +126298.42 280.8507 277.2372 0.00264499527 +129078.40 257.2403 255.6039 0.00161523992 +131922.65 235.837 235.8941 0.00156492811 +134883.50 215.729 217.258 0.00164924225 +137908.44 197.3041 200.0808 0.00240333102 +140946.46 181.13 184.9062 0.00248112878 +144153.52 164.0262 168.7466 0.00156971335 +147368.41 149.7276 155.149 0.00126491106 +150577.43 136.6551 142.6196 0.00126649122 +153845.61 124.7153 131.096 0.00128062485 +157108.42 113.2319 119.9324 0.000961249187 +160372.64 103.0082 109.9197 0.000938616002 +163638.47 93.947 100.9826 0.000907744457 +166843.52 85.5402 92.6317 0.000825227241 +169987.42 77.8485 84.9398 0.000689927532 +173073.56 70.8924 77.9331 0.000713442359 +176038.45 64.4541 71.4031 0.000793095202 +178758.42 61.4436 68.3326 0.000569209979 +181238.43 59.8488 66.7009 0.000518652099 diff --git a/calib_data/_calib_data/calib2024-11-05_p1_c2.dat b/calib_data/_calib_data/calib2024-11-05_p1_c2.dat new file mode 100644 index 0000000..31fb2cf --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-05_p1_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +53034.63 29960.35 43670.74 0.732147526 +54555.80 29787.31 43407.94 0.320062494 +56285.65 26797.7 38846.19 0.449099098 +57958.42 21548.24 30897.55 3.15918502 +59848.42 17474 24853.08 1.06525114 +61425.68 14492.36 20416.52 5.694327 +63003.52 12076.62 16858.15 1.22867815 +64583.50 10153.21 14047.75 0.879005119 +66158.42 8614.06 11826.06 0.690680824 +67733.51 7340.71 10000.73 0.273879536 +69308.44 6359.11 8601.94 0.290929545 +70888.45 5512.1 7402.11 0.0876926451 +72478.41 4824.85 6439.85 0.122678441 +74053.51 4238.106 5618.69 0.119540788 +75638.43 3750.696 4937.881 0.0544876133 +77218.45 3336.063 4363.999 0.0891229488 +78799.46 2982.46 3876.103 0.0348439378 +80378.42 2675.985 3455.835 0.0461139892 +81953.50 2411.587 3095.037 0.0490316224 +83528.43 2179.967 2779.711 0.0351695891 +85108.44 1980.025 2509.387 0.0279302703 +86728.45 1802.679 2270.554 0.0240914923 +88313.50 1644.862 2059.013 0.0183874958 +89912.62 1510.231 1880.404 0.0412359067 +91510.60 1372.534 1697.944 0.0405512022 +93112.53 1260.639 1550.062 0.0152184099 +94709.41 1159.721 1418.058 0.0129460419 +96410.59 1069.013 1300.228 0.012149074 +98023.68 981.936 1188.101 0.0138888444 +99634.52 904.709 1089.299 0.0103392456 +101264.53 835.796 1001.804 0.00603324125 +102894.50 770.856 920.078 0.00275680975 +104534.50 710.533 844.783 0.00490917508 +106208.43 654.782 775.81 0.00938083152 +107893.52 601.814 710.762 0.00525357021 +109610.57 555.281 654.1 0.00734846923 +111376.46 510.18 599.554 0.00352136337 +113193.51 469.4091 550.953 0.0134201341 +115088.45 431.0364 505.197 0.011140018 +117048.41 396.072 463.5509 0.00374285987 +119108.42 363.6428 425.338 0.00324037035 +121303.51 333.847 390.4039 0.00203690942 +123723.66 306.2631 358.1806 0.00197585425 +126388.42 280.8164 328.5533 0.00152348285 +129168.43 257.2037 301.138 0.00180554701 +132013.53 235.8006 276.337 0.00148996644 +134973.51 215.6891 253.0691 0.00184634775 +137998.44 197.2616 231.7706 0.00185580171 +141037.42 181.0888 213.0911 0.00172887246 +144243.52 163.9878 193.3434 0.0014366628 +147458.45 149.6889 176.8914 0.00599699925 +150668.43 136.6158 161.7864 0.00584841859 +153936.41 124.6863 147.9495 0.000930053762 +157198.43 113.2036 134.672 0.00116619038 +160463.53 102.9834 122.861 0.000734846923 +163729.42 93.9263 112.4711 0.000478539445 +166933.52 85.5203 102.6045 0.000827647268 +170078.46 77.8291 93.6035 0.000636396103 +173164.63 70.8748 85.4921 0.000740945342 +176128.41 64.4383 77.9637 0.000530094331 +178848.42 61.4348 74.4459 0.000537587202 +181328.44 59.8442 72.5804 0.000619677335 diff --git a/calib_data/_calib_data/calib2024-11-05_p1_c4.dat b/calib_data/_calib_data/calib2024-11-05_p1_c4.dat new file mode 100644 index 0000000..d9be64d --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-05_p1_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +53125.64 29947.88 27900.37 0.753000664 +54646.44 29781.73 27754.92 0.299933326 +56376.41 26798.39 25107.8 0.206397674 +58048.41 21547.97 20403.22 1.43239659 +59938.43 17474.46 16747.21 0.417480538 +61516.48 14491.3 14011.88 2.46316057 +63093.48 12075.81 11776.41 0.687088058 +64673.50 10153.64 9983.03 0.305303128 +66248.42 8614.85 8533.72 0.317111968 +67823.51 7340.75 7325.41 0.147275253 +69398.45 6359.19 6383.78 0.264499527 +70978.45 5511.53 5565.76 0.0532916504 +72568.41 4824.97 4898.896 0.0604847088 +74143.51 4238.263 4323.134 0.0646869384 +75728.43 3750.751 3841.142 0.029387072 +77308.45 3336.214 3428.722 0.0313304963 +78890.57 2982.459 3074.321 0.0198217053 +80468.42 2675.972 2765.523 0.0441372858 +82043.54 2411.699 2497.488 0.0174241212 +83618.43 2179.887 2261.567 0.0167361883 +85198.45 1980.042 2056.853 0.0216356188 +86818.46 1802.651 1874.516 0.00981835017 +88403.50 1644.75 1711.676 0.00789936706 +90003.63 1510.251 1572.56 0.0133416641 +91601.60 1372.544 1429.791 0.00899444273 +93203.60 1260.654 1313.559 0.00767463354 +94800.57 1159.757 1208.694 0.0132815662 +96501.58 1068.988 1114.283 0.00548634669 +98114.51 981.981 1023.849 0.0107191418 +99725.64 904.71 943.663 0.00678969808 +101355.65 835.797 872.168 0.00846167832 +102985.82 770.844 804.873 0.00693541635 +104625.82 710.519 742.504 0.00961249187 +106298.43 654.797 684.99 0.00447213595 +107983.52 601.814 630.441 0.00411096096 +109701.50 555.285 582.626 0.00379473319 +111467.42 510.135 536.301 0.00298328678 +113283.51 469.4069 494.5944 0.00419332803 +115178.44 431.038 455.3352 0.00329484446 +117138.45 396.0689 419.5677 0.00211210795 +119198.43 363.64 386.4142 0.00251316533 +121393.51 333.8397 355.944 0.00204450483 +123814.52 306.2364 327.6911 0.00188917972 +126478.42 280.7861 301.6091 0.00126846364 +129258.43 257.1713 277.3667 0.00172075565 +132103.53 235.7643 255.3406 0.00170997076 +135063.50 215.653 234.5879 0.00131491445 +138088.44 197.225 215.5166 0.000940212742 +141128.42 181.0515 198.7241 0.00163981706 +144334.48 163.9527 180.9045 0.00180138835 +147548.41 149.6512 165.9978 0.00506912221 +150758.43 136.5844 152.2285 0.000874642784 +154027.45 124.6597 139.6478 0.000880908622 +157288.42 113.1773 127.4895 0.000696419414 +160554.52 102.9603 116.625 0.000860232527 +163820.59 93.9071 106.959 0.00064807407 +167023.54 85.5024 97.9491 0.000830060239 +170169.42 77.8116 89.6698 0.00064498062 +173255.76 70.8589 82.1527 0.000693541635 +176218.41 64.4235 75.1662 0.000525357021 +178938.42 61.4264 71.9025 0.000353553391 +181418.44 59.84 70.1718 0.000562138773 diff --git a/calib_data/_calib_data/calib2024-11-05_p2_c1.dat b/calib_data/_calib_data/calib2024-11-05_p2_c1.dat new file mode 100644 index 0000000..6ec624b --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-05_p2_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +53241.63 29928.66 21581.55 0.562716625 +54762.56 29769.92 21478.86 0.294006803 +56492.61 26796.87 19519.1 0.175499288 +58163.49 21538.17 16007.35 1.53370467 +60053.51 17474.77 13251.31 0.420107129 +61632.64 14491.21 11171.03 3.32412545 +63208.41 12076.9 9457.68 0.913761457 +64788.42 10153.67 8072.99 0.171143215 +66363.51 8614.13 6946.43 0.284622557 +67938.44 7340.77 6000.67 0.226737734 +69513.53 6358.38 5258.77 0.175527776 +71094.49 5511.9 4609.039 0.0820542503 +72683.49 4825.039 4078.37 0.0347850543 +74259.42 4238.429 3616.626 0.0103150376 +75843.64 3750.444 3228.159 0.0275118156 +77424.57 3336.157 2894.177 0.0313384748 +79006.46 2982.181 2605.821 0.0366456 +80583.50 2675.885 2353.513 0.0215429803 +82158.43 2411.684 2133.554 0.0169233566 +83733.52 2179.703 1939.085 0.0182345825 +85313.52 1979.989 1769.79 0.00824621125 +86934.49 1802.647 1618.492 0.012149074 +88519.42 1644.663 1482.299 0.0204670467 +90119.43 1510.241 1366.441 0.00780384521 +91717.43 1372.582 1246.708 0.00442718872 +93319.45 1260.58 1148.758 0.00340587727 +94916.46 1159.728 1060.303 0.00470106371 +96617.43 1068.975 980.329 0.0033015148 +98230.59 981.978 903.497 0.00600832755 +99841.60 904.69 835.129 0.0059076222 +101471.61 835.763 774.008 0.00419523539 +103101.58 770.82 716.292 0.00704272674 +104741.55 710.52 662.674 0.00603324125 +106413.68 654.777 613.015 0.0040620192 +108099.44 601.809 565.798 0.00419523539 +109817.45 555.265 524.282 0.00236643191 +111583.50 510.166 483.7714 0.00908757393 +113398.43 469.4167 447.4901 0.00220658107 +115293.52 431.0445 413.0742 0.00179332094 +117253.50 396.0553 381.6189 0.00188917972 +119313.50 363.6262 352.3863 0.00145636534 +121509.43 333.8265 325.4362 0.00101784085 +123930.61 306.194 300.3565 0.000919238816 +126593.50 280.7474 277.1458 0.00183193886 +129373.51 257.1267 255.5023 0.00129653384 +132218.45 235.7207 235.7793 0.00162511538 +135178.42 215.6053 217.1456 0.00114192819 +138203.52 197.1796 199.9636 0.0014366628 +141243.50 181.0061 184.7905 0.00154434452 +144450.60 163.9071 168.6403 0.00129653384 +147663.50 149.6235 155.0488 0.000846167832 +150873.51 136.5531 142.5218 0.000745654075 +154143.53 124.6269 131.0111 0.000842021377 +157403.51 113.1454 119.8481 0.000740945342 +160670.61 102.9326 109.845 0.0006 +163936.47 93.8843 100.9211 0.000411096096 +167139.45 85.4802 92.5719 0.000623698645 +170285.67 77.791 84.8824 0.000451663592 +173371.59 70.8399 77.88 0.000244948974 +176333.57 64.4034 71.352 0.000424264069 +179053.54 61.4151 68.3027 0.000284604989 +181533.59 59.8335 66.6847 0.000530094331 diff --git a/calib_data/_calib_data/calib2024-11-05_p2_c2.dat b/calib_data/_calib_data/calib2024-11-05_p2_c2.dat new file mode 100644 index 0000000..23c0a24 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-05_p2_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +53332.63 29914.92 43599.66 0.713750657 +54853.52 29764.35 43376.53 0.489908155 +56583.49 26798.56 38848.36 0.900244411 +58253.50 21531.6 30895.32 2.30602689 +60143.51 17473.07 24854.06 0.751425312 +61723.52 14491.84 20415.95 3.26506508 +63298.44 12077.29 16858.45 1.22884092 +64879.41 10153.99 14049.46 0.354739341 +66453.50 8614.26 11826.24 0.63375074 +68028.44 7341.32 9999.48 0.44649748 +69603.48 6358.83 8601.76 0.33081717 +71185.61 5512.2 7402.22 0.0946572765 +72773.49 4824.926 6439.95 0.173349358 +74350.58 4238.334 5618.56 0.16074825 +75934.51 3750.487 4938.086 0.0502035855 +77515.65 3336.145 4364.114 0.0468230712 +79097.46 2982.226 3876.329 0.0417480538 +80673.50 2675.93 3455.888 0.0298596718 +82248.47 2411.632 3095.059 0.0397102002 +83824.52 2179.807 2779.937 0.0557503363 +85403.53 1979.96 2509.373 0.014216188 +87025.62 1802.722 2270.677 0.0218197159 +88610.58 1644.578 2058.604 0.0122637678 +90210.55 1510.165 1880.297 0.0385499676 +91808.44 1372.517 1697.89 0.0533291665 +93410.61 1260.577 1549.991 0.0145910932 +95007.46 1159.736 1418.061 0.012120231 +96708.42 1068.982 1300.23 0.00938083152 +98321.59 981.971 1188.081 0.00963846461 +99932.64 904.719 1089.307 0.00906090503 +101562.61 835.785 1001.824 0.0141562707 +103192.62 770.874 920.074 0.00451663592 +104832.58 710.521 844.746 0.0066633325 +106504.51 654.777 775.787 0.00735527022 +108190.61 601.816 710.775 0.00587367006 +109908.45 555.272 654.091 0.00411096096 +111673.50 510.176 599.545 0.00452769257 +113488.43 469.403 550.941 0.0143143285 +115383.52 431.0329 505.198 0.0114717043 +117343.49 396.058 463.5364 0.0035247695 +119403.50 363.6282 425.3264 0.00397290825 +121600.59 333.8277 390.3791 0.00312873776 +124021.48 306.1909 358.0978 0.00223964283 +126683.50 280.7306 328.4561 0.00120374416 +129463.51 257.1074 301.028 0.00138564065 +132308.45 235.6979 276.2175 0.00118532696 +135269.42 215.5809 252.9424 0.00105071404 +138293.52 197.154 231.6459 0.00143840189 +141334.49 180.9806 212.9676 0.00123450395 +144541.64 163.8875 193.2252 0.00154142791 +147754.54 149.5972 176.787 0.00563382641 +150964.52 136.5263 161.6802 0.0051260121 +154233.49 124.6086 147.8591 0.000780384521 +157494.51 113.1271 134.5835 0.000696419414 +160761.48 102.9165 122.7836 0.000493963561 +164027.42 93.8715 112.4082 0.000419523539 +167230.56 85.4676 102.5413 0.000246981781 +170376.46 77.7794 93.5468 0.000525357021 +173462.59 70.8299 85.4399 0.000498998998 +176424.61 64.3953 77.9129 0.000670074623 +179143.58 61.4097 74.4157 0.000470106371 +181623.56 59.8308 72.5645 0.000514781507 diff --git a/calib_data/_calib_data/calib2024-11-05_p2_c4.dat b/calib_data/_calib_data/calib2024-11-05_p2_c4.dat new file mode 100644 index 0000000..b8d0476 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-05_p2_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +53423.47 29900.69 27858.44 0.489530387 +54943.48 29758.54 27734.05 0.461573396 +56673.49 26798 25105.54 0.0981835017 +58343.50 21497.29 20303.5 39.5687276 +60233.47 17472.14 16745.76 0.568014084 +61813.52 14492.14 14011.05 2.37601557 +63388.45 12077.14 11776.43 0.617098047 +64970.58 10153.8 9982.2 0.365786823 +66544.51 8614.04 8534.1 0.411825206 +68118.44 7341.57 7324.56 0.262373779 +69693.52 6359.56 6384.26 0.275753513 +71276.45 5511.66 5565.74 0.0814861951 +72863.50 4824.937 4898.843 0.0649930766 +74441.59 4238.194 4323.195 0.0625819463 +76025.64 3750.618 3841.347 0.0305303128 +77606.45 3336.148 3428.833 0.0283919003 +79188.42 2982.316 3074.234 0.0414777049 +80763.54 2675.989 2765.553 0.0444983146 +82338.43 2411.62 2497.73 0.0266082694 +83915.68 2179.869 2261.325 0.00681909085 +85493.52 1979.944 2056.743 0.0197002538 +87116.46 1802.733 1874.626 0.0132060592 +88701.62 1644.449 1711.358 0.0137695316 +90301.59 1510.201 1572.544 0.0149799866 +91898.44 1372.532 1429.763 0.00917060521 +93501.57 1260.598 1313.479 0.0088825672 +95098.45 1159.733 1208.671 0.0059076222 +96798.43 1068.96 1114.315 0.00751664819 +98412.64 981.951 1023.89 0.00916515139 +100023.61 904.708 943.632 0.00613188389 +101653.61 835.788 872.109 0.003591657 +103283.66 770.859 804.901 0.00434741302 +104923.66 710.507 742.511 0.00573585216 +106595.64 654.776 684.986 0.0066633325 +108281.49 601.808 630.434 0.00379473319 +109998.41 555.278 582.624 0.00352136337 +111763.51 510.13 536.294 0.00289827535 +113578.43 469.3987 494.5884 0.00328694387 +115473.53 431.0335 455.3289 0.00426720049 +117433.49 396.0573 419.5547 0.00256534598 +119493.50 363.6273 386.4022 0.00243228288 +121691.63 333.8262 355.9268 0.0020189106 +124112.64 306.1804 327.6332 0.00155434874 +126773.50 280.7148 301.5411 0.00118701306 +129554.48 257.0894 277.284 0.00104880885 +132398.45 235.6751 255.2487 0.00102029408 +135360.59 215.5594 234.4905 0.00124298029 +138383.52 197.1299 215.4203 0.00137149553 +141425.66 180.9576 198.6246 0.00107888832 +144632.48 163.8645 180.8128 0.00127906216 +147845.62 149.5707 165.9128 0.00443576374 +151055.67 136.5048 152.1444 0.000789936706 +154323.53 124.5908 139.5768 0.000660302961 +157585.67 113.1101 127.4178 0.00064498062 +160852.65 102.9017 116.5622 0.000772010363 +164118.42 93.8593 106.9089 0.000498998998 +167321.48 85.4558 97.8989 0.000498998998 +170467.42 77.7692 89.6242 0.000464758002 +173553.57 70.8201 82.1113 0.000735527022 +176515.77 64.3854 75.1254 0.000493963561 +179233.58 61.4037 71.8777 0.000317804972 +181713.60 59.8275 70.1579 0.000434741302 diff --git a/calib_data/_calib_data/calib2024-11-08_p0_c1.dat b/calib_data/_calib_data/calib2024-11-08_p0_c1.dat new file mode 100644 index 0000000..4754214 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-08_p0_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38678.65 30475.3 24469.51 1.29022866 +39606.53 30521.55 24505.24 1.39163214 +40682.55 26927.77 21801.44 1.36030879 +41712.55 21626.76 17775.41 1.24398151 +42724.56 17687.78 14707.47 0.868107136 +43738.52 14657.14 12352.87 1.42007394 +44747.53 12252.09 10443.23 2.11012085 +46030.57 10157.14 8760.51 0.52980185 +46960.58 8611.1 7500.01 0.352547869 +47890.58 7333.56 6446.08 0.396434105 +48820.58 6350.36 5624.82 0.417803782 +49776.63 5504 4910.203 0.192759176 +50727.48 4818.453 4328.614 0.105187452 +51694.50 4232.833 3825.288 0.182897786 +52624.61 3745.711 3402.322 0.138324257 +53555.73 3331.894 3040.496 0.118500633 +54485.70 2979.938 2729.615 0.119668292 +55415.70 2674.97 2459.165 0.190721 +56345.63 2410.842 2223.014 0.109637585 +57275.72 2178.876 2014.181 0.219460475 +58205.68 1979.366 1833.96 0.153205744 +59135.73 1802.099 1672.423 0.138304374 +60095.65 1644.491 1527.687 0.0507158752 +61075.65 1509.949 1405.046 0.0498838651 +62018.50 1372.17 1278.411 0.0415559863 +62991.54 1260.169 1175.258 0.0492503807 +63964.55 1159.343 1082.194 0.0366387773 +64940.59 1068.609 998.47 0.0349571166 +65916.56 981.671 918.082 0.0321496501 +66905.72 904.614 846.853 0.0519047204 +67905.65 835.703 783.295 0.0322567822 +68915.66 770.841 723.494 0.0427597942 +69934.58 710.456 667.935 0.0263153947 +70967.63 654.683 616.72 0.0375765885 +72030.59 601.793 568.088 0.0399449621 +73107.47 555.632 525.769 0.0295448811 +74242.60 510.238 484.0643 0.0203420992 +75432.53 469.4588 447.0277 0.0115430065 +76685.69 431.1407 411.9777 0.00810067898 +78026.54 396.116 380.0039 0.0109740148 +79498.63 363.7421 350.3965 0.0110256519 +81178.64 334.2204 323.3919 0.0155970831 +83035.73 306.2447 297.7668 0.0155472184 +85070.58 281.516 275.0918 0.00737265217 +88422.56 259.4164 254.7052 0.0105496919 +91783.58 237.6868 234.6815 0.0143200908 +95102.59 217.5175 215.9005 0.00933300595 +98509.53 198.9408 198.6714 0.0164263203 +101914.59 182.7774 183.5067 0.00961462428 +105525.61 165.638 167.4403 0.0180709989 +109116.51 151.2383 153.8424 0.00704726897 +112706.52 138.0879 141.352 0.00286705424 +116290.59 126.0819 129.8823 0.00331375919 +119960.60 114.4454 118.7238 0.00343161769 +123541.58 104.1742 108.7824 0.00250279843 +127032.56 95.0294 99.9012 0.00412019417 +130524.50 86.4735 91.5415 0.00489744832 +133976.51 78.6485 83.8333 0.00401011222 +137334.53 71.565 76.8407 0.00305630496 +140606.55 65.0222 70.3123 0.00434062208 +143126.52 62.0262 67.3123 0.00347001441 +145205.78 60.3754 65.6623 0.00318763235 diff --git a/calib_data/_calib_data/calib2024-11-08_p0_c2.dat b/calib_data/_calib_data/calib2024-11-08_p0_c2.dat new file mode 100644 index 0000000..b659854 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-08_p0_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38709.49 30473.4 31712.55 4.69651467 +39637.50 30518.32 31773.89 2.54937051 +40713.54 26930.71 28071.38 1.56906341 +41743.51 21626.89 22588.94 1.80262031 +42755.63 17678.09 18489.03 1.75254387 +43769.52 14659.68 15367.61 1.2700748 +44778.49 12231.18 12835.78 0.730999316 +46061.62 10157.23 10672.67 0.461746684 +46991.58 8610.64 9055.18 0.31394267 +47921.55 7334.15 7717.41 0.402355564 +48851.59 6349.71 6683.68 0.467504011 +49807.67 5503.21 5792.88 0.500759423 +50757.48 4817.983 5072.36 0.433405122 +51724.52 4232.828 4451.383 0.189968682 +52655.73 3745.537 3935.529 0.115103866 +53586.50 3331.641 3497.141 0.111404219 +54516.54 2979.768 3123.148 0.184574104 +55446.54 2674.812 2799.646 0.0954064987 +56376.67 2410.658 2518.73 0.133641311 +57306.63 2179.394 2272.062 0.0771336502 +58236.56 1979.678 2059.578 0.109295929 +59166.49 1802.592 1871.202 0.102720981 +60126.53 1644.311 1703.08 0.155280392 +61106.50 1510.003 1560.424 0.0289551377 +62049.46 1372.241 1414.298 0.0421141306 +63022.59 1260.226 1295.753 0.0467129532 +63995.75 1159.35 1189.407 0.0298345437 +64971.59 1068.648 1093.997 0.0520586208 +65947.51 981.781 1002.799 0.0426485639 +66936.53 904.629 922.351 0.0412177146 +67936.65 835.715 850.769 0.0484654516 +68946.49 770.821 783.715 0.0290258505 +69965.74 710.502 721.662 0.028733256 +70998.55 654.637 664.618 0.0508487955 +72061.59 601.786 610.685 0.050798622 +73137.52 555.497 563.658 0.0365732142 +74273.57 510.25 518.031 0.0475909655 +75463.53 469.4997 477.1383 0.0142968878 +76716.54 431.1438 438.7402 0.00984256064 +78057.51 396.0898 403.8501 0.0132864216 +79529.43 363.7201 371.5544 0.0175483333 +81209.52 334.1918 342.2561 0.0166616026 +83066.49 306.2132 314.4955 0.01710687 +85101.58 281.4873 289.9541 0.0129317052 +88453.56 259.342 267.9777 0.0156237319 +91814.57 237.6362 246.4614 0.0164269291 +95133.59 217.455 226.3844 0.00915117479 +98540.57 198.905 207.9524 0.014961417 +101945.71 182.705 191.7636 0.0149761143 +105556.56 165.6084 174.6262 0.0186299758 +109146.55 151.2082 160.2831 0.0126652675 +112737.48 138.0594 146.9938 0.00459739056 +116321.59 126.0585 134.8644 0.00445466048 +119991.61 114.4267 123.0817 0.00523459645 +123572.58 104.1575 112.6204 0.00659272326 +127063.56 95.0123 103.2886 0.00590118632 +130555.65 86.4647 94.5139 0.00334499626 +134007.55 78.6258 86.4343 0.00484159065 +137365.65 71.5547 79.1146 0.00356987395 +140637.67 65.0098 72.3011 0.00344804292 +143157.52 62.0115 69.1692 0.00358273638 +145236.57 60.3625 67.4489 0.00452868634 diff --git a/calib_data/_calib_data/calib2024-11-08_p0_c4.dat b/calib_data/_calib_data/calib2024-11-08_p0_c4.dat new file mode 100644 index 0000000..f4976d3 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-08_p0_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38740.57 30468.68 27008.48 1.3224069 +39667.54 30519.02 27048.82 1.73998851 +40744.54 26930.92 24074.78 1.33062391 +41774.55 21629.29 19635.14 2.94904052 +42786.64 17661.05 16240.79 1.89665231 +43800.56 14677.4 13659.47 1.54032789 +44809.44 12232.8 11529.28 1.94421192 +46092.58 10157.66 9685.46 0.450821472 +47022.58 8610.44 8294.78 0.549326861 +47952.54 7334.32 7132.3 0.483735465 +48882.59 6351.03 6225.73 0.317505905 +49837.52 5502.24 5437.29 0.492838716 +50787.48 4818.157 4792.586 0.133769952 +51755.64 4232.793 4235.713 0.138679847 +52686.49 3745.449 3768.218 0.142715101 +53617.54 3331.809 3367.708 0.167175357 +54547.54 2979.561 3023.449 0.1058532 +55477.55 2674.609 2723.365 0.088524008 +56407.51 2410.692 2462.016 0.0677967551 +57337.48 2179.712 2231.086 0.126342392 +58267.52 1979.427 2030.614 0.0994907031 +59196.56 1802.627 1851.369 0.0891566038 +60157.65 1644.243 1691.174 0.123856368 +61136.54 1510.057 1554.705 0.0437549997 +62080.58 1372.288 1414.055 0.0354189215 +63053.55 1260.23 1299.109 0.0353680647 +64026.55 1159.409 1195.879 0.0405080239 +65002.60 1068.607 1102.725 0.0557539236 +65978.68 981.775 1013.458 0.041080409 +66967.52 904.534 934.219 0.0548169682 +67967.49 835.742 863.628 0.0592418771 +68977.66 770.783 797.061 0.0452205705 +69996.50 710.543 735.194 0.0517918913 +71029.42 654.701 678.364 0.0589610041 +72092.51 601.812 624.33 0.0303315018 +73167.64 555.463 577.151 0.036727374 +74304.57 510.164 531.215 0.0341540627 +75494.53 469.4978 489.8489 0.0129649142 +76747.50 431.1224 450.9467 0.0149906971 +78087.50 396.0907 415.4505 0.0148984899 +79560.60 363.7057 382.6049 0.0136333782 +81240.60 334.1763 352.7113 0.011609522 +83097.49 306.1848 324.3295 0.0167488806 +85132.54 281.4672 299.1994 0.0178959213 +88484.52 259.2867 276.6401 0.015123128 +91845.66 237.5974 254.5268 0.0183536372 +95164.60 217.4338 233.8551 0.0153378291 +98571.62 198.872 214.8621 0.00782617403 +101976.55 182.6478 198.2049 0.0104951894 +105587.49 165.5659 180.5083 0.0119983749 +109176.47 151.1647 165.6935 0.0130661777 +112768.49 138.0322 151.9207 0.00656361181 +116352.59 126.0305 139.3784 0.00186118242 +120022.56 114.4062 127.2006 0.00419332803 +123603.58 104.1378 116.3753 0.00334678951 +127094.55 94.9909 106.6967 0.0044588115 +130586.49 86.4569 97.6401 0.00412904347 +134038.56 78.611 89.2776 0.00499039077 +137396.57 71.5439 81.7026 0.00441633332 +140668.63 65.0039 74.6669 0.00415078306 +143187.52 62.0022 71.4216 0.00610933712 +145267.50 60.3493 69.6453 0.00456081133 diff --git a/calib_data/_calib_data/calib2024-11-08_p1_c1.dat b/calib_data/_calib_data/calib2024-11-08_p1_c1.dat new file mode 100644 index 0000000..7e88647 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-08_p1_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38776.54 30466.96 24433.91 7.41059309 +39703.58 30512.79 24494.52 1.1441853 +40780.59 26926.86 21805.68 1.54504369 +41810.59 21626.69 17777.01 2.20156535 +42822.56 17673.16 14725.41 1.1839299 +43836.49 14674.11 12383.69 2.47800121 +44845.69 12256.03 10439.84 1.88760165 +46128.46 10157.43 8760.3 0.527825729 +47058.66 8609.64 7499.65 0.539675829 +47988.63 7332.06 6445.95 0.349928564 +48918.50 6352.1 5625.51 0.558650159 +49872.55 5503.33 4909.811 0.130195622 +50822.55 4819.022 4328.889 0.127267042 +51791.56 4232.418 3824.921 0.155508521 +52722.57 3745.657 3402.165 0.101658743 +53652.57 3331.776 3040.49 0.137847742 +54582.58 2979.429 2729.299 0.127251326 +55512.58 2674.399 2459.053 0.151453293 +56443.55 2411.051 2222.938 0.13918908 +57372.60 2179.69 2014.153 0.0639069636 +58302.60 1979.604 1833.356 0.154137601 +59232.60 1802.573 1672.454 0.0851140411 +60192.53 1644.521 1527.532 0.0554941438 +61172.58 1510.004 1405.011 0.0385084406 +62116.54 1372.335 1278.464 0.0443215523 +63089.50 1260.17 1175.2 0.0262678511 +64062.59 1159.452 1082.14 0.0399749922 +65038.51 1068.802 998.318 0.0393903541 +66014.56 981.807 917.999 0.0476959118 +67003.56 904.615 846.668 0.0390589298 +68002.65 835.556 783.194 0.0412601503 +69013.57 770.717 723.44 0.0416173041 +70031.62 710.476 667.967 0.0460662566 +71065.70 654.909 616.695 0.031344856 +72128.68 601.641 568.173 0.0569570013 +73203.57 555.473 525.576 0.0375819105 +74340.60 510.135 484.0885 0.0100729837 +75530.61 469.4568 447.0377 0.0102323507 +76782.62 431.0866 411.9648 0.00690478095 +78122.59 396.0886 379.9475 0.00712355248 +79596.51 363.6239 350.3731 0.0123429737 +81276.57 334.1517 323.3329 0.0156412595 +83132.53 306.1544 297.7069 0.0196348924 +85168.50 281.4303 274.966 0.0160068735 +88520.60 259.2293 254.5595 0.00811326075 +91881.58 237.5475 234.5561 0.0118485864 +95200.59 217.3224 215.7774 0.00948071727 +98607.61 198.8316 198.5685 0.0117696644 +102012.59 182.5951 183.4563 0.0141908774 +105622.57 165.5189 167.3428 0.012057197 +109211.59 151.1284 153.7637 0.00432215224 +112804.60 138.001 141.2714 0.00343278313 +116388.63 125.9977 129.8234 0.00405018518 +120058.64 114.395 118.658 0.00597159945 +123639.46 104.1287 108.7248 0.00324899985 +127130.60 94.9648 99.8526 0.00453916292 +130621.53 86.4424 91.4945 0.00668917035 +134074.55 78.6118 83.783 0.00323728281 +137432.53 71.5217 76.7855 0.00448385994 +140704.51 64.9844 70.2762 0.00309127805 +143222.60 62.0062 67.2732 0.00353496818 +145302.65 60.3464 65.6241 0.0041915391 diff --git a/calib_data/_calib_data/calib2024-11-08_p1_c2.dat b/calib_data/_calib_data/calib2024-11-08_p1_c2.dat new file mode 100644 index 0000000..5bf6d4b --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-08_p1_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38807.49 30459.19 31713.09 1.10629562 +39734.54 30509.78 31762.34 0.847844325 +40811.59 26922.51 28070.43 1.58953138 +41841.59 21624.1 22594.72 0.982527353 +42853.56 17676.91 18486.56 2.10129484 +43867.68 14669.85 15391.27 3.41350406 +44876.52 12240.9 12844.58 2.52098393 +46159.53 10156.5 10671.97 0.465413794 +47089.49 8609.4 9055.93 0.253001976 +48019.50 7332.56 7716.4 0.502195181 +48949.51 6349.98 6684.22 0.319937494 +49903.56 5503.31 5792.37 0.459575891 +50853.56 4818.456 5071.89 0.284059853 +51822.56 4232.307 4451.239 0.152344675 +52753.57 3745.461 3935.563 0.115603201 +53683.57 3332.096 3496.969 0.144799517 +54613.54 2979.186 3122.772 0.118918459 +55543.54 2674.59 2799.647 0.155087395 +56474.55 2411.121 2518.471 0.141353811 +57403.59 2179.692 2272.138 0.169297372 +58333.60 1979.524 2059.56 0.159160297 +59263.56 1802.495 1871.278 0.074602949 +60223.53 1644.342 1703.392 0.124786217 +61203.53 1510.115 1560.233 0.0373911754 +62147.50 1372.237 1414.507 0.0320327957 +63120.59 1260.171 1295.673 0.0464338239 +64093.58 1159.366 1189.313 0.0437732795 +65069.41 1068.619 1093.911 0.0454411708 +66045.72 981.747 1002.876 0.0595012605 +67034.52 904.497 922.319 0.058351521 +68033.61 835.696 850.819 0.0384304567 +69044.50 770.805 783.616 0.0354739341 +70062.58 710.436 721.635 0.0342125708 +71096.55 654.698 664.648 0.0429138672 +72159.52 601.783 610.613 0.0282506637 +73234.55 555.321 563.446 0.0732966575 +74371.60 510.135 518.028 0.0486374341 +75561.61 469.4658 477.1362 0.011171213 +76813.50 431.1165 438.7504 0.0129376969 +78153.62 396.0717 403.802 0.0201131798 +79627.51 363.6567 371.5594 0.019187079 +81307.48 334.1386 342.193 0.0116713324 +83163.57 306.1398 314.3917 0.0171067531 +85199.50 281.4026 289.8617 0.0167595048 +88551.60 259.2135 267.8255 0.0158979558 +91912.58 237.5031 246.3202 0.0101339035 +95231.59 217.3244 226.2644 0.0137798403 +98638.65 198.7898 207.8088 0.011704529 +102043.59 182.611 191.6343 0.014067729 +105653.57 165.4987 174.5471 0.00972260253 +109242.54 151.1115 160.2228 0.0104074973 +112835.77 137.9776 146.9034 0.00337105325 +116419.46 125.9667 134.7699 0.00436451601 +120089.52 114.3714 123.0087 0.00538340041 +123670.58 104.1079 112.5573 0.00389628028 +127161.56 94.9539 103.2201 0.00255127419 +130652.54 86.4188 94.4545 0.00536516542 +134105.76 78.5852 86.3984 0.00335320742 +137463.53 71.5168 79.0737 0.00503199762 +140735.67 64.973 72.2623 0.00266477016 +143253.56 61.9871 69.1411 0.00367545915 +145333.61 60.3404 67.4111 0.004817572 diff --git a/calib_data/_calib_data/calib2024-11-08_p1_c4.dat b/calib_data/_calib_data/calib2024-11-08_p1_c4.dat new file mode 100644 index 0000000..ac0545f --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-08_p1_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38837.49 30456.46 26994.63 1.8912985 +39765.74 30504.05 27037.92 1.42518771 +40842.59 26920.5 24073.6 1.62609963 +41872.56 21625.8 19624.72 2.2396339 +42884.56 17670.2 16274.59 1.88983862 +43897.52 14666.72 13668.69 1.52489016 +44907.49 12232.84 11525.15 1.15293105 +46190.58 10155.89 9684.4 0.300998339 +47120.58 8609.94 8293.35 0.645639218 +48050.59 7332.42 7130.39 0.501487786 +48980.59 6350.41 6225.91 0.329378202 +49934.55 5502.5 5436.24 0.335916656 +50884.56 4818.563 4793.049 0.155791206 +51853.52 4232.635 4235.887 0.0992678196 +52784.56 3745.233 3768.374 0.130139925 +53714.61 3332.489 3367.897 0.159681245 +54644.58 2979.252 3023.269 0.106239823 +55574.55 2674.713 2723.385 0.148998322 +56505.67 2410.995 2461.86 0.128903064 +57434.55 2179.495 2231.337 0.125698449 +58364.56 1979.537 2030.604 0.0694435022 +59294.56 1802.466 1851.347 0.150459629 +60254.53 1644.357 1691.222 0.0972399095 +61234.50 1510.065 1554.561 0.0416040863 +62177.50 1372.329 1414.034 0.0363097783 +63151.58 1260.215 1299.221 0.0372411063 +64124.55 1159.413 1195.847 0.0370148619 +65100.59 1068.638 1102.717 0.0379486495 +66076.56 981.809 1013.511 0.056079408 +67065.65 904.564 934.159 0.0399111513 +68064.57 835.734 863.456 0.0280784615 +69075.66 770.816 797.045 0.0320390387 +70093.58 710.471 735.321 0.0385084406 +71127.63 654.607 678.449 0.054597619 +72190.59 601.834 624.364 0.0435935775 +73265.68 555.385 577.012 0.0424216926 +74402.60 510.049 531.074 0.0353043907 +75592.58 469.4814 489.8403 0.0120324977 +76844.62 431.122 450.8992 0.0107589962 +78184.62 396.0855 415.4181 0.013247981 +79657.51 363.6764 382.6102 0.0142413483 +81337.56 334.1279 352.6031 0.0208664563 +83194.57 306.1287 324.261 0.0120299626 +85230.58 281.364 299.0558 0.0138251944 +88582.56 259.1575 276.4752 0.0158901227 +91943.62 237.4793 254.3867 0.0167624879 +95262.55 217.2832 233.7079 0.0142481227 +98669.45 198.7604 214.731 0.0163438062 +102074.55 182.5845 198.0695 0.0118019066 +105684.57 165.4611 180.3877 0.0118659597 +109273.55 151.0842 165.5868 0.0207175288 +112866.53 137.9518 151.8271 0.00485685083 +116450.59 125.9506 139.2972 0.0029488981 +120120.56 114.3504 127.13 0.00337342556 +123701.58 104.0767 116.3053 0.0047498421 +127192.52 94.941 106.6478 0.00354626564 +130683.58 86.3992 97.5893 0.0032095171 +134136.52 78.577 89.2282 0.00384915575 +137494.54 71.5157 81.6632 0.00284885942 +140766.51 64.9604 74.6302 0.00479749935 +143284.56 61.9799 71.3885 0.00437092668 +145364.57 60.3334 69.613 0.00481040539 diff --git a/calib_data/_calib_data/calib2024-11-08_p2_c1.dat b/calib_data/_calib_data/calib2024-11-08_p2_c1.dat new file mode 100644 index 0000000..5aadb0d --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-08_p2_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38872.54 30477.45 24465.6 1.32181693 +39801.58 30495.09 24490.1 1.01380471 +40878.59 26924.4 21805.91 1.43641568 +41908.63 21640.13 17765.5 2.20997738 +42920.60 17681.39 14710.34 0.630111101 +43933.53 14661.71 12372.66 2.4856468 +44942.64 12234.27 10440.06 2.55081164 +46226.66 10155.92 8758.76 0.488917171 +47156.50 8608.4 7499.77 0.288461436 +48086.50 7332.14 6445.68 0.485345238 +49016.59 6349.81 5625.08 0.547868597 +49970.59 5503.53 4909.842 0.116084452 +50920.60 4818.525 4328.686 0.128710528 +51889.45 4232.509 3824.935 0.156283396 +52820.57 3745.391 3402.265 0.0988964105 +53750.61 3332.395 3040.282 0.0683637331 +54680.58 2979.04 2728.953 0.131545049 +55610.58 2674.543 2458.614 0.0855827085 +56541.54 2410.364 2222.909 0.127125529 +57470.60 2178.676 2014.566 0.0679882343 +58400.60 1979.537 1833.648 0.180802655 +59330.57 1802.565 1672.681 0.107865194 +60290.57 1644.392 1527.566 0.0596690875 +61270.57 1510.048 1405.024 0.0474172964 +62212.61 1372.259 1278.375 0.0338008876 +63187.50 1260.099 1175.263 0.0506171908 +64160.59 1159.355 1082.136 0.0189314553 +65136.52 1068.74 998.423 0.0487042093 +66112.56 981.709 918.041 0.0612935559 +67101.56 904.664 846.812 0.0452061943 +68100.62 835.692 783.343 0.0495792295 +69111.54 770.808 723.545 0.0395284708 +70129.50 710.654 668.001 0.0432539016 +71163.51 654.651 616.781 0.0493852205 +72226.55 601.66 568.243 0.0397756207 +73301.56 555.247 525.434 0.0358664188 +74438.52 510.147 484.0546 0.0166986227 +75628.49 469.4566 447.0047 0.0145162323 +76880.62 431.0485 411.9763 0.01624503 +78220.59 396.0633 379.9235 0.0125293655 +79692.55 363.668 350.3184 0.0130385582 +81372.60 334.0681 323.271 0.0131954538 +83230.57 306.0728 297.6122 0.0199533456 +85266.68 281.3226 274.897 0.0128848749 +88618.52 259.1132 254.4009 0.00976775307 +91979.45 237.4377 234.4259 0.0160227651 +95298.63 217.2117 215.6847 0.00880346523 +98704.57 198.7453 198.4637 0.0197063695 +102110.59 182.5611 183.311 0.0119054609 +105720.60 165.4276 167.2443 0.0153948368 +109309.43 151.0447 153.6796 0.00485427647 +112902.61 137.9126 141.1953 0.00367164813 +116486.63 125.9266 129.739 0.00358887169 +120156.57 114.3231 118.59 0.00347850543 +123737.50 104.0635 108.6674 0.00329302293 +127228.48 94.9283 99.7898 0.00514353964 +130719.50 86.3918 91.4575 0.00297405447 +134172.59 78.5597 83.7557 0.00578973229 +137530.58 71.5027 76.7666 0.00349055869 +140801.59 64.9695 70.2467 0.00357784852 +143320.60 61.9642 67.247 0.00407921561 +145400.61 60.3193 65.6077 0.00208830074 diff --git a/calib_data/_calib_data/calib2024-11-08_p2_c2.dat b/calib_data/_calib_data/calib2024-11-08_p2_c2.dat new file mode 100644 index 0000000..5b69b43 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-08_p2_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38903.62 30492.26 31741.41 1.63434696 +39832.58 30494.33 31748.48 1.25162295 +40909.50 26924.9 28068.22 1.67486119 +41939.51 21645.29 22598.64 1.35817525 +42951.52 17686.06 18500.68 1.83121817 +43964.52 14668.63 15376.66 1.11276233 +44973.61 12239.48 12852.59 2.2444799 +46257.61 10155.11 10670.91 0.308366665 +47187.62 8608.53 9055.14 0.38709172 +48117.62 7333.05 7717.35 0.569078202 +49047.63 6349.54 6682.98 0.463422054 +50001.55 5502.94 5791.15 0.429010489 +50951.56 4818.15 5072.2 0.235796522 +51920.56 4232.874 4451.23 0.143331783 +52851.65 3745.554 3935.596 0.117899958 +53781.57 3332.319 3497.574 0.120782449 +54711.57 2979.22 3122.954 0.1255245 +55641.58 2675.011 2799.371 0.144446876 +56572.55 2410.775 2518.598 0.206880642 +57501.60 2178.856 2272.001 0.153593294 +58431.60 1979.434 2059.618 0.145181266 +59361.56 1802.44 1871.409 0.17314416 +60321.54 1644.419 1703.497 0.143297244 +61301.54 1510.015 1560.458 0.0589202851 +62243.58 1372.209 1414.269 0.0489581454 +63217.50 1260.219 1295.789 0.0506645833 +64191.59 1159.378 1189.339 0.0528857259 +65167.63 1068.776 1093.957 0.0470754713 +66143.52 981.691 1002.829 0.0581283064 +67132.56 904.584 922.24 0.0594138031 +68131.61 835.616 850.866 0.0404771541 +69142.58 770.856 783.616 0.0462428373 +70160.58 710.514 721.639 0.0601739146 +71194.51 654.751 664.6 0.0429185275 +72257.52 601.792 610.658 0.0375179957 +73332.56 555.216 563.567 0.0431752244 +74469.53 510.172 517.913 0.0364431063 +75659.49 469.4625 477.1045 0.0168263187 +76911.58 431.0921 438.7035 0.019735881 +78251.59 396.0939 403.7677 0.016451778 +79723.55 363.6333 371.5357 0.0130284688 +81403.61 334.0724 342.1144 0.0125133529 +83261.58 306.0723 314.3258 0.0196243726 +85297.54 281.2729 289.756 0.0131316412 +88649.52 259.0544 267.6552 0.0199127095 +92010.58 237.3741 246.206 0.0150983443 +95329.51 217.1834 226.122 0.0193886565 +98735.78 198.6767 207.7005 0.00931584671 +102141.59 182.4847 191.5394 0.0180694217 +105751.57 165.4123 174.4647 0.0104594933 +109340.59 151.0221 160.1264 0.0100321483 +112933.60 137.8985 146.8193 0.0024333105 +116517.50 125.9074 134.7159 0.0058042226 +120187.52 114.3102 122.9462 0.00671833313 +123767.50 104.0359 112.4963 0.004238042 +127259.52 94.8967 103.165 0.0045033321 +130750.57 86.3729 94.4158 0.00450732737 +134203.56 78.5408 86.3492 0.00476822818 +137561.53 71.4814 79.0376 0.00402541923 +140832.60 64.9578 72.2311 0.00431381502 +143351.56 61.9449 69.0981 0.00392542991 +145431.49 60.3043 67.3873 0.00186037631 diff --git a/calib_data/_calib_data/calib2024-11-08_p2_c4.dat b/calib_data/_calib_data/calib2024-11-08_p2_c4.dat new file mode 100644 index 0000000..59e6cd3 --- /dev/null +++ b/calib_data/_calib_data/calib2024-11-08_p2_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38934.53 30507.1 27035.86 0.666663333 +39863.54 30494.4 27032.51 0.970097933 +40940.59 26928.86 24073.52 1.77441821 +41970.59 21638.21 19636.27 1.85094841 +42982.55 17681.79 16285.99 3.23006037 +43995.73 14668.98 13667.73 1.11229942 +45004.56 12244.58 11527.3 0.644049688 +46288.54 10155.44 9684.46 0.238830484 +47218.62 8609.02 8291.81 0.412662089 +48148.51 7332.93 7132.44 0.554472723 +49077.63 6350.02 6224.92 0.210142809 +50032.55 5502.52 5436.69 0.420107129 +50982.52 4818.323 4792.623 0.137113457 +51951.56 4232.932 4235.608 0.114366079 +52882.57 3745.201 3768.2 0.193463175 +53812.57 3332.425 3368.212 0.118387499 +54742.58 2979.443 3022.922 0.0872444841 +55672.59 2674.972 2723.484 0.133380658 +56603.51 2410.869 2462.172 0.130811314 +57532.56 2179.089 2231.178 0.122831592 +58462.60 1979.585 2030.566 0.0949968421 +59392.61 1802.581 1852.072 0.118412837 +60352.57 1644.296 1691.49 0.125713961 +61332.49 1510.009 1554.519 0.0583000858 +62274.58 1372.28 1413.955 0.0416713331 +63247.51 1260.324 1299.193 0.0367980978 +64222.59 1159.406 1195.836 0.0372880678 +65198.64 1068.754 1102.816 0.0397290825 +66174.57 981.658 1013.393 0.027204779 +67163.57 904.53 934.247 0.0315927207 +68162.57 835.639 863.499 0.0559365712 +69173.58 770.926 797.07 0.0404722127 +70191.59 710.473 735.312 0.0481414582 +71225.71 654.81 678.49 0.0442718872 +72287.59 601.814 624.335 0.055285622 +73363.56 555.196 577.035 0.0260096136 +74500.60 510.114 531.111 0.0402106951 +75690.62 469.4529 489.8329 0.00788600025 +76942.62 431.1011 450.9182 0.0132565456 +78282.55 396.0887 415.4261 0.0159470687 +79754.56 363.6247 382.5998 0.0152864646 +81434.60 334.0349 352.5461 0.0107586709 +83292.55 306.0665 324.16 0.0149445642 +85327.51 281.2312 298.9942 0.0147775505 +88680.60 259.01 276.3715 0.0131607371 +92041.62 237.3601 254.2111 0.0112396174 +95360.59 217.1492 233.586 0.0133259146 +98766.53 198.6266 214.6168 0.018019323 +102172.63 182.4674 197.9668 0.011365562 +105782.61 165.3981 180.3015 0.00781952684 +109371.58 150.994 165.4945 0.0176975987 +112964.61 137.8773 151.7475 0.00506211418 +116547.50 125.8857 139.2356 0.00501437932 +120217.56 114.2927 127.0615 0.00247891105 +123797.50 104.0221 116.2464 0.00386574702 +127290.60 94.8854 106.5901 0.00332400361 +130781.62 86.3553 97.5437 0.00447448321 +134234.59 78.5401 89.1884 0.00257371327 +137592.53 71.4794 81.6282 0.00347793042 +140863.60 64.949 74.5971 0.00389987179 +143382.60 61.9345 71.3497 0.00376311042 +145462.61 60.3052 69.5877 0.00547366422 diff --git a/calib_data/_calib_data/calib2024-12-06_p0_c1.dat b/calib_data/_calib_data/calib2024-12-06_p0_c1.dat new file mode 100644 index 0000000..ab91512 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p0_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +41996.52 18736.18 25480.67 26.8026232 +49561.60 13556.51 18154.65 1.55719299 +52019.41 11257.92 14958.37 1.64079554 +54442.59 9484.38 12504.09 1.7455343 +57045.72 8066.23 10545.95 2.26888739 +59618.41 6860.92 8898.62 3.63765859 +62164.62 5908.44 7605.77 0.861748223 +64611.59 5176.63 6611.22 1.55549349 +76093.58 4252.251 5377.106 0.320000625 +78298.43 3866.932 4858.837 0.516906278 +80508.43 3503.256 4372.911 0.197638306 +82738.41 3177.796 3939.663 0.688334294 +84948.42 2887.321 3555.976 0.523994656 +87182.59 2628.482 3215.129 0.181148834 +89422.60 2399.263 2914.656 0.0772683635 +91640.57 2194.897 2648.008 0.253999213 +93862.58 2013.557 2412.834 0.13939297 +96078.43 1849.628 2201.007 0.101951459 +98321.61 1698.803 2007.726 0.123249341 +100585.73 1563.438 1835.643 0.168932235 +102842.55 1442.144 1681.816 0.146247735 +105088.45 1330.501 1540.124 0.0268774999 +107336.49 1227.822 1411.616 0.0296378137 +109598.42 1134.152 1295.394 0.0429930227 +111860.59 1048.552 1189.787 0.0580870037 +114133.60 970.845 1094.734 0.0349342239 +116428.46 895.962 1003.979 0.0376417322 +118735.75 829.023 923.428 0.0398697881 +121090.60 765.61 847.837 0.0202509259 +123452.57 709.027 781.078 0.0153492671 +125879.42 653.948 716.58 0.0286006993 +128361.59 603.307 657.856 0.0255812431 +130909.45 556.86 604.436 0.0218265893 +133550.57 514.441 556.19 0.0253771551 +136286.47 473.4636 510.01 0.0404722127 +139110.61 435.6499 467.4362 0.012415152 +142198.42 401.2786 429.1596 0.00534265851 +145390.60 369.1071 393.5674 0.00766054828 +149879.54 339.341 360.8182 0.0104266965 +153748.44 311.6814 330.565 0.00887580982 +157738.42 286.3559 302.9877 0.00452117241 +161819.44 263.1666 277.8586 0.0134923682 +166053.50 241.5362 254.5173 0.00953734764 +170408.44 221.4569 232.9131 0.00376948272 +174820.58 202.9574 213.0911 0.00798179178 +179358.48 186.0784 195.0241 0.00987466455 +183985.67 169.991 177.8883 0.00838933847 +188683.56 155.04 162.0794 0.0119934982 +193314.63 141.491 147.6501 0.00449544214 +198003.49 129.0281 134.4957 0.00335276006 +202629.43 117.8197 122.69 0.00375765885 +207328.45 107.067 111.4004 0.00313113398 +211950.60 97.5694 101.4599 0.00339838197 +216571.58 88.7547 92.2667 0.00451009978 +221108.48 81.057 84.2508 0.0033430525 +225640.58 73.7603 76.679 0.00343511281 +230235.76 65.8953 68.5408 0.00144775689 +233926.42 62.8157 65.3648 0.0017538529 +237015.63 61.1814 63.6768 0.00247709507 diff --git a/calib_data/_calib_data/calib2024-12-06_p0_c2.dat b/calib_data/_calib_data/calib2024-12-06_p0_c2.dat new file mode 100644 index 0000000..a1277c1 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p0_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42087.45 18715.13 17977.81 10.142864 +49652.60 13551.29 13082.95 1.32606561 +52110.58 11250.7 10908.58 0.810407305 +54533.59 9480.88 9224.12 0.515519156 +57136.44 8062.74 7867.97 0.616124987 +59708.41 6859.35 6710.68 0.364910948 +62255.75 5907.29 5790.81 0.310950157 +64702.60 5176.03 5078.04 0.1877232 +76183.58 4254.844 4186.791 0.220469726 +78388.43 3867.33 3802.68 0.0969948452 +80598.44 3503.283 3441.593 0.0619846755 +82828.41 3177.364 3118.092 0.0556740514 +85038.42 2886.956 2829.461 0.0540823446 +87273.59 2628.059 2572.075 0.0911070799 +89513.57 2398.907 2343.351 0.0406804621 +91731.57 2194.381 2139.584 0.0376085097 +93953.58 2013.183 1958.899 0.0865384308 +96168.43 1849.134 1795.234 0.0806994424 +98412.60 1698.494 1645.225 0.0619233397 +100678.42 1563.172 1510.363 0.0230239006 +102933.64 1441.909 1389.714 0.022680388 +105178.44 1330.282 1278.735 0.0227705951 +107427.40 1227.624 1176.983 0.0254184972 +109688.42 1133.934 1084.323 0.0218197159 +111951.60 1048.386 999.943 0.0304318912 +114224.52 970.681 923.514 0.0206009709 +116519.42 895.807 850.32 0.0212132034 +118826.47 828.863 785.037 0.0219567757 +121181.59 765.473 723.532 0.0237402612 +123543.60 708.918 668.918 0.026487733 +125970.58 653.87 616.027 0.0282152441 +128452.59 603.169 567.535 0.0225055549 +131000.57 556.783 523.344 0.0224588513 +133641.57 514.347 482.977 0.00806473806 +136377.43 473.3657 444.4136 0.00888841943 +139201.57 435.5351 408.7998 0.00477660968 +142288.39 401.1904 376.5587 0.00982756328 +145481.59 369.0009 346.4728 0.00835918656 +149970.58 339.2181 318.7114 0.00912491096 +153838.48 311.5515 292.9386 0.00803517268 +157828.41 286.2333 269.3518 0.0067864571 +161910.60 263.0482 247.8155 0.00775145148 +166143.54 241.4241 227.7234 0.00576055553 +170498.44 221.3445 209.0715 0.00904350596 +174911.58 202.867 191.8778 0.00596623835 +179448.44 185.9759 176.1868 0.00757733462 +184076.51 169.9051 161.2264 0.00602528008 +188773.57 154.9644 147.3248 0.0035519009 +193405.83 141.4155 134.687 0.00444297198 +198093.49 128.9628 123.0933 0.00375246586 +202720.63 117.7589 112.6376 0.003575472 +207419.45 107.0115 102.6068 0.00324592052 +212041.59 97.5144 93.7452 0.00271587923 +216662.65 88.7146 85.5212 0.00293189359 +221198.45 81.0166 78.3254 0.00228122774 +225731.58 73.7239 71.5129 0.00244724335 +230326.56 65.8586 64.1745 0.0035503521 +234017.51 62.7846 61.3055 0.00319765539 +237106.44 61.1535 59.7803 0.00174384632 diff --git a/calib_data/_calib_data/calib2024-12-06_p0_c4.dat b/calib_data/_calib_data/calib2024-12-06_p0_c4.dat new file mode 100644 index 0000000..863d092 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p0_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42178.45 18742.71 12637.2 7.83224106 +49743.60 13548.22 9439.96 1.32251276 +52201.57 11245.48 7970.49 0.545426439 +54624.62 9476.49 6817.53 0.538525765 +57227.43 8059.87 5877.21 0.412662089 +59798.41 6857.62 5066.63 0.316559631 +62346.47 5907.18 4411.876 0.203731195 +64793.60 5175.36 3902.14 0.0998398718 +76273.57 4257.326 3254.407 0.133244512 +78479.43 3867.688 2973.148 0.0748438374 +80689.44 3503.332 2707.689 0.0790246797 +82918.45 3177.165 2467.765 0.0470372193 +85128.42 2886.648 2252.305 0.0846197377 +87363.60 2627.675 2058.745 0.105425329 +89603.61 2398.585 1885.746 0.0726663609 +91822.57 2194.11 1730.526 0.0783989796 +94043.50 2012.936 1592.054 0.0667712513 +96258.44 1848.834 1465.514 0.0344441577 +98503.57 1698.432 1349.185 0.0263153947 +100773.57 1562.981 1244.426 0.0195550505 +103024.63 1441.798 1149.83 0.0164316767 +105268.44 1330.084 1062.4 0.0317175031 +107518.45 1227.488 981.774 0.0141562707 +109778.43 1133.795 908.035 0.0258166613 +112042.59 1048.21 840.583 0.0203002463 +114315.64 970.49 779.238 0.0178213355 +116610.57 895.688 720.145 0.0197610728 +118917.42 828.74 667.245 0.0233345238 +121272.60 765.319 617.219 0.0302473139 +123634.49 708.78 572.632 0.0266758318 +126061.58 653.775 529.193 0.0213096222 +128543.59 603.1 489.0903 0.00612217282 +131091.60 556.749 452.5382 0.00797094725 +133732.62 514.323 419.16 0.0109918151 +136468.43 473.2793 387.0005 0.00578143581 +139292.52 435.4378 357.1941 0.00887068205 +142378.42 401.0999 330.134 0.00778203058 +145572.48 368.9008 304.7553 0.00801130451 +150061.62 339.0965 281.1962 0.00913980306 +153929.44 311.416 259.3117 0.0114804617 +157918.49 286.096 239.238 0.00986610359 +162001.64 262.9278 220.8111 0.00798304453 +166234.58 241.3219 203.5753 0.00494378398 +170588.44 221.2372 187.5008 0.0159679679 +175002.62 202.7679 172.6496 0.00576229121 +179539.45 185.8848 159.0414 0.0102099951 +184167.42 169.828 145.982 0.00285306852 +188864.64 154.8972 133.8827 0.00313703682 +193496.51 141.3345 122.8061 0.00289637705 +198183.49 128.9012 112.6125 0.00319452657 +202811.60 117.698 103.3875 0.00436634859 +207510.58 106.9601 94.5155 0.0032596012 +212132.68 97.4685 86.6478 0.00274153242 +216753.66 88.6701 79.3293 0.0031434058 +221288.45 80.9774 72.9141 0.00209976189 +225822.69 73.6894 66.8128 0.00216702561 +230417.45 65.8272 60.2178 0.00271955879 +234108.43 62.7574 57.6351 0.0027765086 +237197.48 61.1246 56.258 0.00342636834 diff --git a/calib_data/_calib_data/calib2024-12-06_p0_c5.dat b/calib_data/_calib_data/calib2024-12-06_p0_c5.dat new file mode 100644 index 0000000..4d5c715 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p0_c5.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42268.44 18760.93 22892.35 25.3596619 +49834.60 13544.37 16461.91 0.932893349 +52292.61 11239.69 13628.84 0.64283746 +54715.75 9473.03 11469.54 1.11491704 +57318.44 8057.37 9741.11 0.431381502 +59888.41 6856.24 8283.06 0.52956586 +62437.43 5906.73 7131.22 0.353779592 +64884.60 5174.78 6245.74 0.268402683 +76363.58 4259.7 5142.087 0.251916851 +78570.59 3868.311 4670.465 0.0668917035 +80780.56 3503.43 4231.293 0.0446329475 +83009.41 3177.104 3838.392 0.108423245 +85218.42 2886.422 3489.049 0.0593877092 +87453.60 2627.478 3177.862 0.0764957515 +89694.64 2398.275 2902.251 0.0787203913 +91913.57 2193.976 2656.81 0.0451884941 +94133.59 2012.773 2439.549 0.0987972672 +96348.44 1848.662 2242.407 0.0810438153 +98593.61 1698.216 2061.818 0.055942828 +100864.66 1562.75 1900.358 0.112336993 +103115.79 1441.517 1755.081 0.08553888 +105358.44 1329.933 1621.594 0.0491975609 +107608.41 1227.388 1498.331 0.0134499071 +109868.43 1133.708 1386.637 0.0298680431 +112133.48 1048.059 1284.649 0.014862705 +114406.49 970.341 1192.184 0.0281140534 +116701.58 895.547 1103.422 0.016358484 +119008.43 828.599 1024.062 0.0226185764 +121363.48 765.233 949.096 0.0204058815 +123725.65 708.665 882.335 0.0237170825 +126152.58 653.651 817.336 0.0228560714 +128633.63 603.033 757.693 0.0317190794 +131182.61 556.665 702.968 0.0232723011 +133823.58 514.241 652.978 0.0153492671 +136558.43 473.187 604.75 0.0264575131 +139383.53 435.3451 559.952 0.0285937056 +142468.42 401.0082 519.169 0.0241847059 +145663.52 368.8216 480.7213 0.00812902208 +150152.50 338.993 445.1031 0.00737760124 +154020.60 311.2982 411.8716 0.00798398397 +158009.42 285.985 381.3051 0.00430917626 +162092.64 262.8193 353.1814 0.00881725581 +166325.74 241.2312 326.7774 0.00836444858 +170678.44 221.1535 302.0725 0.00840148796 +175093.51 202.6806 279.0878 0.00721637028 +179630.56 185.8135 257.9817 0.00810561534 +184258.43 169.7533 237.6388 0.00658604585 +188955.77 154.8271 218.6672 0.0117582312 +193587.43 141.2644 201.1675 0.00876726867 +198273.49 128.8389 184.9413 0.00879551022 +202902.67 117.6355 170.1572 0.00805208048 +207601.58 106.9113 155.7818 0.00240748832 +212223.51 97.4316 142.9908 0.00298596718 +216844.50 88.6349 130.9847 0.00211683726 +221378.44 80.9458 120.3762 0.0015861904 +225913.51 73.6595 110.2108 0.0024240462 +230508.48 65.804 99.1084 0.0025502941 +234198.42 62.7356 94.7272 0.00275245345 +237288.44 61.1033 92.3842 0.0029826163 diff --git a/calib_data/_calib_data/calib2024-12-06_p0_c6.dat b/calib_data/_calib_data/calib2024-12-06_p0_c6.dat new file mode 100644 index 0000000..05b0d5b --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p0_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42358.44 18774.43 19870.37 12.2503963 +49925.72 13537.79 14380.83 0.988539326 +52383.62 11233.59 11976.28 0.932502011 +54806.47 9470.51 10129.64 0.716407705 +57408.44 8055.01 8649.11 0.409743822 +59978.42 6855.67 7392.54 0.400549622 +62528.43 5905.56 6392.72 0.274881793 +64975.76 5174.02 5621.33 0.251813423 +76453.58 4262.153 4656.984 0.197525695 +78661.59 3869.077 4240.126 0.08003999 +80871.60 3503.587 3850.817 0.0684112564 +83100.61 3176.964 3502.344 0.081316665 +85308.43 2886.347 3191.708 0.0864615521 +87543.59 2627.275 2913.868 0.108791544 +89785.65 2398.024 2667.459 0.0598907338 +92003.57 2193.699 2447.147 0.0900560936 +94223.59 2012.508 2251.489 0.0571393035 +96438.44 1848.437 2073.769 0.0907022602 +98684.65 1697.912 1910.593 0.0855809558 +100955.74 1562.554 1764.271 0.0754380541 +103206.47 1441.304 1632.385 0.0813418711 +105448.45 1329.872 1510.226 0.0335320742 +107698.41 1227.285 1398.287 0.0203002463 +109958.42 1133.588 1296.089 0.0151294415 +112223.47 1047.948 1202.659 0.018732325 +114497.45 970.219 1117.716 0.0281496004 +116792.57 895.429 1036.085 0.0156364958 +119098.43 828.463 962.974 0.0235881326 +121453.48 765.139 893.746 0.0173320512 +123816.45 708.618 831.912 0.0189631221 +126243.62 653.566 771.735 0.0335037311 +128724.67 602.906 716.207 0.0163737595 +131273.61 556.549 665.293 0.0218654979 +133914.62 514.141 618.735 0.0196086716 +136648.44 473.1165 573.67 0.0225831796 +139479.92 435.249 531.813 0.0251017928 +142558.43 400.9512 493.5208 0.00645879246 +145754.52 368.7649 457.5843 0.00692249955 +150243.50 338.9068 424.1066 0.0100649888 +154111.68 311.2059 392.862 0.0100309521 +158100.58 285.887 364.0683 0.00595659299 +162183.52 262.7132 337.5644 0.0105519666 +166416.42 241.1301 312.6372 0.00937208621 +170769.43 221.0715 289.2886 0.00825372643 +175184.50 202.5875 267.5764 0.00837997613 +179721.60 185.7392 247.5587 0.00397756207 +184348.46 169.6828 228.3079 0.00392542991 +189046.61 154.7567 210.2582 0.0100864265 +193678.42 141.1979 193.6212 0.0110098138 +198364.49 128.7767 178.1963 0.00982858077 +202993.55 117.5808 164.1005 0.010710042 +207692.58 106.8676 150.4059 0.00210926527 +212313.47 97.3932 138.1922 0.00182098874 +216935.66 88.603 126.7266 0.00262373779 +221468.48 80.9127 116.5816 0.00274299107 +226003.51 73.6307 106.8482 0.00172510869 +230599.44 65.778 96.2101 0.00219294323 +234288.42 62.7183 92.0013 0.00312745903 +237378.44 61.0853 89.7611 0.0021746264 diff --git a/calib_data/_calib_data/calib2024-12-06_p1_c1.dat b/calib_data/_calib_data/calib2024-12-06_p1_c1.dat new file mode 100644 index 0000000..de1c0f0 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p1_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42473.52 18756.78 25568.95 31.7237427 +50041.60 13534.1 18122.15 3.78827797 +52499.45 11229.08 14918.19 1.78372924 +54922.58 9462.91 12474.21 1.45316551 +57523.56 8053.45 10532.67 1.61108969 +60093.62 6855.38 8890.97 1.2987725 +62643.55 5903.83 7595.98 0.743747269 +65091.56 5173.57 6605.92 2.82459909 +76568.42 4264.948 5393.424 0.256246756 +78777.43 3870.035 4863.336 0.437571023 +80987.45 3503.795 4374.201 0.148185357 +83216.41 3176.565 3938.975 0.126777364 +85423.58 2886.001 3554.253 0.346185066 +87658.43 2626.946 3213.012 0.170415962 +89901.60 2397.681 2912.81 0.145079289 +92118.41 2193.285 2646.061 0.289013667 +94339.43 2012.343 2411.16 0.0839761871 +96553.60 1848.181 2199.458 0.113311959 +98800.57 1697.759 2006.121 0.14239698 +101071.58 1562.359 1834.489 0.136267751 +103322.59 1441.095 1680.34 0.12886427 +105563.49 1329.684 1539.141 0.0246758992 +107813.61 1227.065 1410.802 0.0234435492 +110073.62 1133.412 1294.408 0.0384135393 +112338.43 1047.801 1188.89 0.0414004831 +114613.61 970.113 1093.842 0.0238243573 +116908.42 895.321 1003.124 0.0268402683 +119213.63 828.356 922.639 0.0281229444 +121568.44 764.942 847.142 0.0193287351 +123932.57 708.394 780.446 0.0343278313 +126359.42 653.402 715.985 0.0344456093 +128840.59 602.751 657.279 0.0162757488 +131389.41 556.36 603.949 0.0256300605 +134030.58 513.934 555.693 0.0374446258 +136763.63 473.0189 509.549 0.027765086 +139726.49 435.1384 466.8569 0.00951782538 +142673.58 400.869 428.7224 0.00781050575 +145870.60 368.6767 393.0887 0.0069829077 +150358.42 338.7747 360.2184 0.00814518263 +154227.44 311.0848 329.9241 0.00637251913 +158216.50 285.7669 302.3623 0.00795493557 +162298.44 262.5865 277.2456 0.00745010067 +166532.66 241.021 253.9547 0.00716526343 +170885.77 220.9567 232.3854 0.00663656538 +175300.58 202.4679 212.5735 0.0055031809 +179837.45 185.6455 194.5704 0.00667113184 +184463.59 169.5966 177.4665 0.00674277391 +189162.65 154.676 161.6957 0.00930811474 +193793.67 141.1258 147.276 0.00298328678 +198480.61 128.7207 134.1687 0.00304647337 +203108.47 117.5294 122.3888 0.00309127805 +207808.42 106.8098 111.1327 0.00397504717 +212428.48 97.3353 101.2193 0.00308885092 +217051.54 88.5501 92.049 0.00283901391 +221583.64 80.8704 84.0584 0.00336214217 +226119.42 73.5938 76.5072 0.00257992248 +230715.65 65.7434 68.3878 0.00306202547 +234403.62 62.6825 65.2225 0.00213190056 +237494.52 61.0517 63.544 0.00229782506 diff --git a/calib_data/_calib_data/calib2024-12-06_p1_c2.dat b/calib_data/_calib_data/calib2024-12-06_p1_c2.dat new file mode 100644 index 0000000..83fb207 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p1_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42563.60 18727.07 17925.19 5.9200076 +50132.61 13529.18 13063.1 0.976012295 +52590.58 11222.05 10886.7 0.784984076 +55013.59 9459.28 9204.99 0.510578104 +57613.60 8053.15 7860.54 0.287471738 +60183.53 6853.95 6705.83 0.538897022 +62733.59 5903.48 5786.11 0.295110149 +65182.56 5172.97 5075.06 0.196061215 +76658.42 4266.54 4197.724 0.227416798 +78868.43 3870.587 3805.57 0.0866833317 +81078.44 3503.966 3442.32 0.0943716059 +83307.41 3176.583 3117.544 0.0716826339 +85513.58 2885.825 2828.505 0.087923262 +87749.44 2626.711 2570.453 0.0900894 +89992.57 2397.537 2342.244 0.0554111902 +92208.42 2193.058 2138.439 0.0671930056 +94430.59 2012.342 1957.886 0.0502633067 +96644.68 1847.998 1794.183 0.0682795723 +98891.57 1697.521 1644.073 0.0681182795 +101162.58 1562.24 1509.501 0.0202706685 +103413.63 1441.064 1388.921 0.0213752193 +105653.48 1329.579 1278.116 0.0234606053 +107904.65 1226.995 1176.35 0.0186010752 +110164.67 1133.315 1083.641 0.0294771098 +112428.43 1047.733 999.273 0.0157511904 +114704.48 969.997 922.977 0.0228495077 +116998.42 895.214 849.775 0.0247082982 +119304.67 828.273 784.507 0.0158145503 +121658.44 764.842 723.041 0.0193106188 +124023.52 708.333 668.451 0.0203690942 +126450.58 653.333 615.497 0.0189235303 +128932.59 602.679 567.067 0.0196494275 +131480.61 556.303 522.94 0.0142828569 +134121.54 513.942 482.6301 0.00836594286 +136854.67 472.9517 444.0535 0.0083297659 +139818.42 435.055 408.3669 0.00606704211 +142764.66 400.8261 376.2553 0.00783077263 +145961.60 368.5985 346.117 0.00787400787 +150448.42 338.7104 318.2467 0.00778466441 +154318.48 310.9942 292.4497 0.00311464284 +158307.42 285.6849 268.8784 0.00637683307 +162388.43 262.5207 247.3338 0.00954442246 +166623.62 240.9299 227.2654 0.00538739269 +170976.56 220.8862 208.6443 0.00843925352 +175391.58 202.402 191.4747 0.00399512203 +179928.49 185.569 175.8257 0.00670082085 +184554.55 169.5207 160.8849 0.0041435492 +189253.77 154.6204 147.0132 0.00216702561 +193884.51 141.074 134.3805 0.0032534597 +198571.57 128.6715 122.8121 0.00269981481 +203199.44 117.4874 112.3793 0.00340602408 +207898.41 106.7714 102.3805 0.00241764348 +212518.44 97.2996 93.5377 0.0023876767 +217142.66 88.5197 85.3407 0.00249018072 +221674.61 80.8431 78.167 0.00172046505 +226210.58 73.5673 71.3773 0.0018976301 +230806.53 65.7225 64.0469 0.001126499 +234494.50 62.6635 61.189 0.00271293199 +237585.80 61.0297 59.6705 0.00168671278 diff --git a/calib_data/_calib_data/calib2024-12-06_p1_c4.dat b/calib_data/_calib_data/calib2024-12-06_p1_c4.dat new file mode 100644 index 0000000..ad1dca8 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p1_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42654.56 18689.17 12649.98 8.01015356 +50223.60 13518.97 9421.98 0.546772348 +52681.61 11216.62 7951.59 0.560080351 +55103.59 9456.5 6803.89 0.524490229 +57704.56 8050.52 5873.13 0.331677554 +60273.61 6852.79 5063.99 0.342476277 +62823.58 5902.83 4409.36 0.209437341 +65273.56 5172.56 3900.708 0.115730722 +76748.42 4268.443 3262.23 0.147023808 +78958.43 3870.989 2975.458 0.0726057849 +81168.44 3504.14 2708.205 0.0734744854 +83398.42 3176.572 2467.263 0.0514985437 +85603.55 2885.749 2251.722 0.0664198765 +87840.59 2626.522 2057.878 0.0650046152 +90083.57 2397.323 1885.001 0.0610647198 +92298.46 2192.833 1729.667 0.09587544 +94521.58 2012.145 1591.678 0.120944615 +96735.76 1847.983 1464.684 0.0273934299 +98982.61 1697.413 1348.343 0.034235946 +101253.62 1562.138 1243.749 0.0262469046 +103504.67 1440.998 1149.241 0.0388960152 +105743.65 1329.488 1061.908 0.0308155805 +107995.77 1226.912 981.302 0.0242816803 +110255.70 1133.195 907.549 0.0271827151 +112518.44 1047.66 840.063 0.0199022612 +114795.72 969.85 778.76 0.0213072758 +117088.46 895.11 719.69 0.0164924225 +119395.78 828.187 666.815 0.0143701079 +121748.44 764.789 616.77 0.0205912603 +124113.49 708.247 572.149 0.0187856328 +126541.59 653.265 528.754 0.0168641632 +129023.51 602.635 488.7419 0.0109658105 +131571.60 556.33 452.2297 0.00837143954 +134212.58 513.96 418.8604 0.0071612848 +136945.67 472.8996 386.7109 0.00451984513 +139908.41 435.0102 356.8578 0.00623345811 +142855.78 400.7581 329.8648 0.00622382519 +146052.48 368.5235 304.4685 0.00638631349 +150538.42 338.637 280.8457 0.00595994966 +154408.44 310.9065 258.9103 0.0101882776 +158398.42 285.6025 238.8301 0.00915035518 +162478.44 262.4386 220.4061 0.00901493206 +166714.55 240.8454 203.2018 0.00671088668 +171067.44 220.8042 187.1542 0.00562281069 +175482.62 202.3265 172.3173 0.00649006934 +180019.45 185.5211 158.6835 0.00497041246 +184645.83 169.4747 145.6997 0.00159405144 +189344.65 154.5768 133.6165 0.00200124961 +193975.67 141.017 122.5514 0.0024049948 +198662.65 128.6244 112.3801 0.00208062491 +203290.67 117.4409 103.177 0.00294278779 +207988.50 106.7285 94.3265 0.00290602822 +212609.44 97.2653 86.4741 0.00217002304 +217233.66 88.4862 79.1752 0.00184282392 +221765.77 80.8148 72.7727 0.00253791253 +226301.63 73.5433 66.6903 0.00329863608 +230897.40 65.701 60.1072 0.00218082553 +234585.67 62.6484 57.5369 0.0015965588 +237676.48 61.0165 56.1725 0.00229891279 diff --git a/calib_data/_calib_data/calib2024-12-06_p1_c5.dat b/calib_data/_calib_data/calib2024-12-06_p1_c5.dat new file mode 100644 index 0000000..8b9e8f5 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p1_c5.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42745.73 18693.9 22929.38 12.836914 +50313.61 13515.21 16433.85 1.45087904 +52772.57 11212.26 13596.45 0.823680763 +55193.59 9452.64 11442.96 0.742051211 +57795.76 8048.7 9732.41 0.323867257 +60364.62 6851.09 8276.29 0.403100484 +62913.59 5902.42 7125.21 0.185175592 +65363.56 5172.33 6242.82 0.233152311 +76838.42 4270.623 5155.289 0.291298644 +79048.43 3871.736 4674.46 0.134959253 +81258.44 3504.557 4232.495 0.0543000921 +83488.42 3176.449 3837.96 0.0673349835 +85693.58 2885.691 3488.099 0.0665349532 +87931.60 2626.493 3176.62 0.0369323706 +90174.61 2397.229 2901.219 0.0855505698 +92388.42 2192.731 2655.389 0.0593034569 +94612.59 2011.807 2438.48 0.0644670458 +96826.52 1847.845 2241.393 0.0578973229 +99073.56 1697.231 2060.771 0.077607345 +101344.66 1562.007 1899.679 0.070886529 +103595.80 1440.842 1754.257 0.105243052 +105834.64 1329.337 1620.924 0.0396534992 +108086.41 1226.79 1497.657 0.015036622 +110346.42 1133.159 1385.855 0.0263533679 +112608.44 1047.545 1283.936 0.026122787 +114886.53 969.809 1191.517 0.0192898937 +117178.42 895.026 1102.811 0.0203690942 +119486.43 828.123 1023.49 0.0228473193 +121838.44 764.743 948.549 0.0213752193 +124203.49 708.208 881.813 0.0201022387 +126632.58 653.194 816.882 0.0120664825 +129113.64 602.589 757.178 0.0348941256 +131662.57 556.303 702.531 0.0271827151 +134303.62 513.884 652.541 0.0213752193 +137036.43 472.8449 604.325 0.0229455878 +139998.41 434.9492 559.523 0.0294635368 +142946.42 400.7111 518.847 0.018976301 +146143.48 368.4827 480.3379 0.00808263571 +150628.43 338.5614 444.5965 0.00692423281 +154498.44 310.8336 411.2931 0.00942385272 +158488.42 285.5196 380.7509 0.00675640437 +162569.44 262.3572 352.5988 0.00728258196 +166805.66 240.7763 326.2411 0.0083215984 +171158.44 220.7367 301.5359 0.00693750676 +175573.50 202.2657 278.6013 0.00874991429 +180110.60 185.4754 257.5236 0.00753418874 +184736.55 169.424 237.241 0.00577234788 +189435.65 154.5214 218.2648 0.00975479369 +194066.51 140.9681 200.787 0.0156198592 +198753.61 128.5782 184.5914 0.0121442991 +203381.55 117.3941 169.8466 0.00904897784 +208079.42 106.6911 155.497 0.00202977831 +212700.64 97.2356 142.7253 0.0022318154 +217324.51 88.4591 130.7547 0.0029293344 +221856.48 80.7902 120.169 0.00226715681 +226392.62 73.5221 110.0244 0.00277200289 +230988.44 65.6809 98.9389 0.00243905719 +234676.47 62.6308 94.5714 0.00243803199 +237767.45 61.0049 92.2353 0.00181686543 diff --git a/calib_data/_calib_data/calib2024-12-06_p1_c6.dat b/calib_data/_calib_data/calib2024-12-06_p1_c6.dat new file mode 100644 index 0000000..b9736a6 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p1_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42836.52 18726.79 19839.99 16.9760976 +50404.65 13511.9 14349.67 0.695133081 +52863.58 11206.16 11946.25 0.632653144 +55283.59 9448.35 10109.65 0.672346637 +57886.49 8047.15 8644.15 0.511517351 +60455.74 6849.52 7385.96 0.537810376 +63003.59 5902.58 6388.43 0.213096222 +65453.60 5172.03 5619.7 0.222710575 +76928.42 4272.694 4668.276 0.134567455 +79138.43 3872.439 4243.423 0.0786898977 +81348.44 3504.78 3852.047 0.0505183135 +83578.41 3176.456 3502.148 0.0526839634 +85783.62 2885.396 3191.038 0.0862994786 +88022.60 2626.488 2912.873 0.0411594461 +90265.69 2397.274 2666.475 0.0574673821 +92478.41 2192.62 2446.049 0.0577659069 +94703.58 2011.717 2250.834 0.0702595189 +96917.44 1847.594 2073.03 0.0895767827 +99163.57 1697.059 1909.776 0.0838594062 +101435.78 1561.876 1763.522 0.0818022005 +103686.43 1440.736 1631.76 0.0675425792 +105925.60 1329.247 1509.629 0.0331496606 +108177.46 1226.743 1397.779 0.0203199409 +110437.42 1133.105 1295.589 0.0340132327 +112698.43 1047.471 1202.034 0.0282913414 +114977.40 969.785 1117.224 0.0149130815 +117268.41 894.97 1035.542 0.0194319325 +119577.43 828.086 962.486 0.0209857094 +121928.44 764.692 893.235 0.0220113607 +124293.61 708.182 831.455 0.0115108644 +126723.62 653.112 771.251 0.0318574952 +129204.48 602.534 715.789 0.0294431656 +131753.49 556.163 664.91 0.0203469899 +134394.50 513.81 618.348 0.0226627448 +137127.44 472.7804 573.347 0.0189235303 +140088.45 434.9041 531.48 0.0165529454 +143037.42 400.6713 493.2003 0.00797878437 +147384.60 368.268 456.8633 0.0794129775 +150718.43 338.5146 423.661 0.00572712843 +154588.44 310.7762 392.3424 0.00909417396 +158578.43 285.453 363.592 0.00761183289 +162660.61 262.2858 337.063 0.00760131568 +166896.47 240.7249 312.1605 0.00357840747 +171248.44 220.6877 288.8332 0.00840571234 +175664.50 202.206 267.1285 0.00608974548 +180201.61 185.4105 247.1531 0.00881073209 +184827.43 169.3554 227.9276 0.00640343658 +189526.49 154.4655 209.9036 0.00957726475 +194157.43 140.9175 193.2727 0.00609762249 +198844.53 128.5316 177.8882 0.00790037974 +203472.64 117.351 163.8318 0.00804213902 +208170.58 106.6594 150.1442 0.00170762994 +212791.60 97.2048 137.9584 0.00363373087 +217415.62 88.4393 126.5156 0.00291273068 +221947.44 80.7708 116.3904 0.00229434086 +226483.51 73.5038 106.6842 0.00220816666 +231078.40 65.6659 96.0484 0.0022324874 +234767.48 62.6128 91.8683 0.00190814046 +237858.44 60.9866 89.6288 0.00223069496 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c1-original.dat b/calib_data/_calib_data/calib2024-12-06_p2_c1-original.dat new file mode 100644 index 0000000..b9971aa --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c1-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47429.43 1525.868 1786.369 0.100194311 +50520.61 13504.26 18089.98 2.6090918 +52978.42 11198.9 14880.05 1.26919266 +55398.43 9443.97 12448.96 1.94237998 +58002.60 8045.22 10516.72 2.37127814 +60571.58 6848.3 8880.77 0.67335726 +63118.43 5901.73 7592.15 2.80614504 +65569.45 5171.9 6604.7 0.546626015 +77043.58 4275.113 5408.357 0.505236677 +79253.59 3873.155 4867.514 0.230318041 +81463.61 3504.802 4375.344 0.14703877 +83693.53 3176.563 3938.62 0.13303383 +85898.43 2885.492 3553.332 0.67339112 +88138.44 2626.377 3211.951 0.4219276 +90381.61 2396.888 2911.338 0.236278649 +92593.58 2192.556 2644.987 0.47391993 +94818.43 2011.649 2410.311 0.150648266 +97033.55 1847.476 2198.38 0.0468828327 +99279.41 1696.829 2005.268 0.0905295532 +101551.59 1561.777 1833.652 0.109597445 +103802.60 1440.589 1679.939 0.0798805358 +106041.60 1329.173 1538.574 0.025385035 +108293.62 1226.502 1410.203 0.0442052033 +110553.62 1132.884 1293.858 0.0390845238 +112813.64 1047.256 1188.323 0.027204779 +115093.49 969.636 1093.241 0.029847948 +117383.62 894.871 1002.571 0.0259788375 +119693.63 827.933 922.187 0.0287419554 +122043.65 764.589 846.636 0.019089264 +124409.42 708.052 779.958 0.0288374756 +126839.43 652.997 715.514 0.0259306768 +129320.59 602.384 656.879 0.0238516247 +131868.45 556.039 603.616 0.0282559728 +134510.58 513.718 555.319 0.0245947149 +137243.64 472.7162 509.183 0.034235946 +140206.57 434.8821 466.6225 0.00563959218 +143255.51 400.6105 428.4284 0.00730780405 +147490.57 367.9592 392.394 0.0727305988 +150833.58 338.4427 359.8347 0.00988539326 +154703.48 310.6855 329.4805 0.00616319722 +158693.51 285.3618 301.929 0.0064591021 +162776.60 262.2106 276.8027 0.00590093213 +167012.66 240.6378 253.5383 0.00542411283 +171363.48 220.6038 232.0054 0.00496225755 +175780.58 202.1383 212.2074 0.00462644572 +180317.44 185.3248 194.231 0.00765506368 +184943.63 169.3092 177.1596 0.00724458418 +189642.61 154.4076 161.4105 0.00719061889 +194274.51 140.8664 147.0005 0.00228582589 +198960.58 128.4866 133.9218 0.00362436201 +203588.48 117.3126 122.1592 0.00240333102 +208286.49 106.6189 110.9337 0.00330771825 +212907.44 97.1621 101.0341 0.00309983871 +217531.58 88.3983 91.8912 0.00253298243 +222063.57 80.7367 83.9203 0.00286373881 +226598.43 73.483 76.3943 0.00299349294 +231193.49 65.644 68.2777 0.00195473783 +234883.66 62.5857 65.1319 0.00212814473 +237974.52 60.9686 63.4605 0.0026124701 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c1.dat b/calib_data/_calib_data/calib2024-12-06_p2_c1.dat new file mode 100644 index 0000000..553bd7a --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47429.43 15258.68 1786.369 0.100194311 +50520.61 13504.26 18089.98 2.6090918 +52978.42 11198.9 14880.05 1.26919266 +55398.43 9443.97 12448.96 1.94237998 +58002.60 8045.22 10516.72 2.37127814 +60571.58 6848.3 8880.77 0.67335726 +63118.43 5901.73 7592.15 2.80614504 +65569.45 5171.9 6604.7 0.546626015 +77043.58 4275.113 5408.357 0.505236677 +79253.59 3873.155 4867.514 0.230318041 +81463.61 3504.802 4375.344 0.14703877 +83693.53 3176.563 3938.62 0.13303383 +85898.43 2885.492 3553.332 0.67339112 +88138.44 2626.377 3211.951 0.4219276 +90381.61 2396.888 2911.338 0.236278649 +92593.58 2192.556 2644.987 0.47391993 +94818.43 2011.649 2410.311 0.150648266 +97033.55 1847.476 2198.38 0.0468828327 +99279.41 1696.829 2005.268 0.0905295532 +101551.59 1561.777 1833.652 0.109597445 +103802.60 1440.589 1679.939 0.0798805358 +106041.60 1329.173 1538.574 0.025385035 +108293.62 1226.502 1410.203 0.0442052033 +110553.62 1132.884 1293.858 0.0390845238 +112813.64 1047.256 1188.323 0.027204779 +115093.49 969.636 1093.241 0.029847948 +117383.62 894.871 1002.571 0.0259788375 +119693.63 827.933 922.187 0.0287419554 +122043.65 764.589 846.636 0.019089264 +124409.42 708.052 779.958 0.0288374756 +126839.43 652.997 715.514 0.0259306768 +129320.59 602.384 656.879 0.0238516247 +131868.45 556.039 603.616 0.0282559728 +134510.58 513.718 555.319 0.0245947149 +137243.64 472.7162 509.183 0.034235946 +140206.57 434.8821 466.6225 0.00563959218 +143255.51 400.6105 428.4284 0.00730780405 +147490.57 367.9592 392.394 0.0727305988 +150833.58 338.4427 359.8347 0.00988539326 +154703.48 310.6855 329.4805 0.00616319722 +158693.51 285.3618 301.929 0.0064591021 +162776.60 262.2106 276.8027 0.00590093213 +167012.66 240.6378 253.5383 0.00542411283 +171363.48 220.6038 232.0054 0.00496225755 +175780.58 202.1383 212.2074 0.00462644572 +180317.44 185.3248 194.231 0.00765506368 +184943.63 169.3092 177.1596 0.00724458418 +189642.61 154.4076 161.4105 0.00719061889 +194274.51 140.8664 147.0005 0.00228582589 +198960.58 128.4866 133.9218 0.00362436201 +203588.48 117.3126 122.1592 0.00240333102 +208286.49 106.6189 110.9337 0.00330771825 +212907.44 97.1621 101.0341 0.00309983871 +217531.58 88.3983 91.8912 0.00253298243 +222063.57 80.7367 83.9203 0.00286373881 +226598.43 73.483 76.3943 0.00299349294 +231193.49 65.644 68.2777 0.00195473783 +234883.66 62.5857 65.1319 0.00212814473 +237974.52 60.9686 63.4605 0.0026124701 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c2-original.dat b/calib_data/_calib_data/calib2024-12-06_p2_c2-original.dat new file mode 100644 index 0000000..b2627fb --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c2-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47520.59 1524.838 1469.515 0.0476707457 +50611.56 13500.53 13037.23 1.22629931 +53068.41 11194.76 10860.3 1.02381639 +55488.44 9439.58 9187.28 0.411533717 +58093.56 8043.56 7850.64 0.558068096 +60662.58 6847.34 6699.41 0.419392418 +63208.43 5900.75 5783.01 0.388702971 +65660.60 5171.57 5073.45 0.271753565 +77133.59 4277.59 4208.436 0.115639094 +79343.55 3873.791 3808.641 0.0572791411 +81553.57 3504.906 3443.349 0.0810117275 +83783.58 3176.483 3117.285 0.0702602306 +85988.43 2885.412 2827.988 0.0741458023 +88228.43 2626.177 2569.807 0.0653306972 +90472.61 2396.806 2341.269 0.0780954544 +92683.58 2192.382 2137.687 0.0705839925 +94908.43 2011.603 1957.215 0.0631070519 +97123.60 1847.469 1793.41 0.0694694177 +99370.61 1696.831 1643.417 0.0734853727 +101642.58 1561.737 1508.926 0.024503061 +103893.64 1440.609 1388.543 0.0136418474 +106132.56 1329.073 1277.636 0.0331722776 +108384.65 1226.499 1175.956 0.0305352256 +110644.63 1132.814 1083.305 0.024989998 +112904.68 1047.257 998.851 0.0202212759 +115183.53 969.561 922.526 0.0234606053 +117474.65 894.75 849.395 0.0280446073 +119784.67 827.879 784.114 0.0321309819 +122134.49 764.516 722.667 0.0192898937 +124500.58 707.992 668.149 0.0262087772 +126930.59 652.951 615.184 0.0260844781 +129411.60 602.329 566.787 0.0259634358 +131958.42 555.99 522.637 0.0279660508 +134601.58 513.69 482.3778 0.0111200719 +137334.64 472.6813 443.8211 0.00497483668 +140311.65 434.8452 408.1987 0.0060762653 +143346.43 400.5505 375.9903 0.00513039959 +147576.45 367.9455 345.5963 0.0524017271 +150923.59 338.3854 317.9631 0.00882094099 +154794.64 310.6317 292.1072 0.00882133777 +158784.55 285.2874 268.5482 0.00722744768 +162867.45 262.135 247.0052 0.00810283901 +167103.51 240.5715 226.9669 0.00704904249 +171453.56 220.5513 208.3492 0.00591066832 +175871.59 202.0885 191.1903 0.00655293827 +180408.53 185.2795 175.5492 0.00616895453 +185034.63 169.2513 160.6382 0.00440408901 +189733.69 154.3689 146.7793 0.00318449368 +194365.83 140.8305 134.1576 0.00159499216 +199051.58 128.448 122.6229 0.0029814426 +203679.44 117.2808 112.1975 0.00210831686 +208377.42 106.5909 102.2186 0.00231170932 +212998.44 97.1349 93.3959 0.00272194783 +217622.66 88.3763 85.2134 0.00281851024 +222154.64 80.7138 78.0529 0.00197205477 +226688.43 73.4658 71.2783 0.0013118689 +231283.48 65.6267 63.9555 0.00272488532 +234974.51 62.5733 61.1145 0.0021691012 +238065.72 60.957 59.5923 0.00200024998 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c2.dat b/calib_data/_calib_data/calib2024-12-06_p2_c2.dat new file mode 100644 index 0000000..9e1bf32 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47520.59 15248.38 1469.515 0.0476707457 +50611.56 13500.53 13037.23 1.22629931 +53068.41 11194.76 10860.3 1.02381639 +55488.44 9439.58 9187.28 0.411533717 +58093.56 8043.56 7850.64 0.558068096 +60662.58 6847.34 6699.41 0.419392418 +63208.43 5900.75 5783.01 0.388702971 +65660.60 5171.57 5073.45 0.271753565 +77133.59 4277.59 4208.436 0.115639094 +79343.55 3873.791 3808.641 0.0572791411 +81553.57 3504.906 3443.349 0.0810117275 +83783.58 3176.483 3117.285 0.0702602306 +85988.43 2885.412 2827.988 0.0741458023 +88228.43 2626.177 2569.807 0.0653306972 +90472.61 2396.806 2341.269 0.0780954544 +92683.58 2192.382 2137.687 0.0705839925 +94908.43 2011.603 1957.215 0.0631070519 +97123.60 1847.469 1793.41 0.0694694177 +99370.61 1696.831 1643.417 0.0734853727 +101642.58 1561.737 1508.926 0.024503061 +103893.64 1440.609 1388.543 0.0136418474 +106132.56 1329.073 1277.636 0.0331722776 +108384.65 1226.499 1175.956 0.0305352256 +110644.63 1132.814 1083.305 0.024989998 +112904.68 1047.257 998.851 0.0202212759 +115183.53 969.561 922.526 0.0234606053 +117474.65 894.75 849.395 0.0280446073 +119784.67 827.879 784.114 0.0321309819 +122134.49 764.516 722.667 0.0192898937 +124500.58 707.992 668.149 0.0262087772 +126930.59 652.951 615.184 0.0260844781 +129411.60 602.329 566.787 0.0259634358 +131958.42 555.99 522.637 0.0279660508 +134601.58 513.69 482.3778 0.0111200719 +137334.64 472.6813 443.8211 0.00497483668 +140311.65 434.8452 408.1987 0.0060762653 +143346.43 400.5505 375.9903 0.00513039959 +147576.45 367.9455 345.5963 0.0524017271 +150923.59 338.3854 317.9631 0.00882094099 +154794.64 310.6317 292.1072 0.00882133777 +158784.55 285.2874 268.5482 0.00722744768 +162867.45 262.135 247.0052 0.00810283901 +167103.51 240.5715 226.9669 0.00704904249 +171453.56 220.5513 208.3492 0.00591066832 +175871.59 202.0885 191.1903 0.00655293827 +180408.53 185.2795 175.5492 0.00616895453 +185034.63 169.2513 160.6382 0.00440408901 +189733.69 154.3689 146.7793 0.00318449368 +194365.83 140.8305 134.1576 0.00159499216 +199051.58 128.448 122.6229 0.0029814426 +203679.44 117.2808 112.1975 0.00210831686 +208377.42 106.5909 102.2186 0.00231170932 +212998.44 97.1349 93.3959 0.00272194783 +217622.66 88.3763 85.2134 0.00281851024 +222154.64 80.7138 78.0529 0.00197205477 +226688.43 73.4658 71.2783 0.0013118689 +231283.48 65.6267 63.9555 0.00272488532 +234974.51 62.5733 61.1145 0.0021691012 +238065.72 60.957 59.5923 0.00200024998 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c4-original.dat b/calib_data/_calib_data/calib2024-12-06_p2_c4-original.dat new file mode 100644 index 0000000..59df07e --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c4-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47611.60 1523.875 1213.462 0.0507700699 +50702.61 13493.74 9407.98 0.924099562 +53158.42 11191.5 7934.76 0.552304264 +55578.43 9436.2 6792.67 0.367437069 +58183.61 8040.49 5865 0.442944692 +60753.58 6846.16 5058.73 0.488477226 +63298.43 5899.81 4407.263 0.196122666 +65751.57 5171.46 3899.808 0.114217337 +77223.58 4279.466 3269.974 0.131462542 +79433.59 3874.397 2977.889 0.0870339014 +81644.65 3505.164 2708.881 0.0765826351 +83873.54 3176.367 2467.23 0.070639932 +86078.42 2885.264 2251.291 0.106409116 +88318.44 2625.906 2057.176 0.0588081627 +90563.61 2396.641 1884.384 0.0654400489 +92773.54 2192.169 1729.222 0.0554400577 +94998.43 2011.637 1591.233 0.05184689 +97214.64 1847.401 1464.251 0.0377743299 +99461.57 1697.03 1347.957 0.0342943144 +101733.62 1561.698 1243.432 0.0194319325 +103984.67 1440.532 1148.898 0.0284534708 +106223.60 1329.027 1061.567 0.0231969826 +108475.71 1226.459 980.99 0.0202484567 +110735.79 1132.795 907.32 0.0235796522 +112995.79 1047.213 839.785 0.0304384625 +115274.65 969.485 778.425 0.0271016605 +117565.74 894.66 719.403 0.0256924113 +119875.75 827.798 666.59 0.0121655251 +122225.64 764.436 616.528 0.020774985 +124591.58 707.967 571.993 0.0125737822 +127021.58 652.88 528.525 0.0191963538 +129502.60 602.344 488.51 0.0146615142 +132048.45 556.034 451.9911 0.00995334115 +134692.57 513.674 418.6712 0.00823626129 +137425.68 472.6361 386.4945 0.00509165985 +140407.05 434.8206 356.7131 0.00849523396 +143437.43 400.4965 329.6634 0.00709957745 +147662.65 367.9015 304.0167 0.0462489027 +151014.55 338.3397 280.6148 0.00965069946 +154885.76 310.5567 258.6339 0.0086907422 +158875.75 285.2308 238.5515 0.00982776679 +162958.40 262.0745 220.1269 0.00449099098 +167193.55 240.5153 202.9289 0.00935355547 +171543.56 220.5 186.8991 0.00863649234 +175962.63 202.0258 172.047 0.00734982993 +180499.49 185.252 158.4607 0.00198015151 +185125.67 169.2167 145.4815 0.00160156174 +189824.57 154.3288 133.4245 0.00286443712 +194456.55 140.7894 122.3611 0.00302142351 +199142.50 128.4135 112.2113 0.00284270997 +203769.44 117.2494 103.0191 0.00324175878 +208468.45 106.561 94.1868 0.00296580512 +213088.44 97.1129 86.3561 0.0022246348 +217713.66 88.3529 79.0652 0.00209666402 +222245.72 80.6983 72.6738 0.00258766304 +226778.42 73.4493 66.6047 0.00214032708 +231373.49 65.6124 60.0282 0.00117303026 +235065.63 62.5656 57.4707 0.00215429803 +238156.44 60.9446 56.1093 0.00220476756 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c4.dat b/calib_data/_calib_data/calib2024-12-06_p2_c4.dat new file mode 100644 index 0000000..52d4a38 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47611.60 15238.75 1213.462 0.0507700699 +50702.61 13493.74 9407.98 0.924099562 +53158.42 11191.5 7934.76 0.552304264 +55578.43 9436.2 6792.67 0.367437069 +58183.61 8040.49 5865 0.442944692 +60753.58 6846.16 5058.73 0.488477226 +63298.43 5899.81 4407.263 0.196122666 +65751.57 5171.46 3899.808 0.114217337 +77223.58 4279.466 3269.974 0.131462542 +79433.59 3874.397 2977.889 0.0870339014 +81644.65 3505.164 2708.881 0.0765826351 +83873.54 3176.367 2467.23 0.070639932 +86078.42 2885.264 2251.291 0.106409116 +88318.44 2625.906 2057.176 0.0588081627 +90563.61 2396.641 1884.384 0.0654400489 +92773.54 2192.169 1729.222 0.0554400577 +94998.43 2011.637 1591.233 0.05184689 +97214.64 1847.401 1464.251 0.0377743299 +99461.57 1697.03 1347.957 0.0342943144 +101733.62 1561.698 1243.432 0.0194319325 +103984.67 1440.532 1148.898 0.0284534708 +106223.60 1329.027 1061.567 0.0231969826 +108475.71 1226.459 980.99 0.0202484567 +110735.79 1132.795 907.32 0.0235796522 +112995.79 1047.213 839.785 0.0304384625 +115274.65 969.485 778.425 0.0271016605 +117565.74 894.66 719.403 0.0256924113 +119875.75 827.798 666.59 0.0121655251 +122225.64 764.436 616.528 0.020774985 +124591.58 707.967 571.993 0.0125737822 +127021.58 652.88 528.525 0.0191963538 +129502.60 602.344 488.51 0.0146615142 +132048.45 556.034 451.9911 0.00995334115 +134692.57 513.674 418.6712 0.00823626129 +137425.68 472.6361 386.4945 0.00509165985 +140407.05 434.8206 356.7131 0.00849523396 +143437.43 400.4965 329.6634 0.00709957745 +147662.65 367.9015 304.0167 0.0462489027 +151014.55 338.3397 280.6148 0.00965069946 +154885.76 310.5567 258.6339 0.0086907422 +158875.75 285.2308 238.5515 0.00982776679 +162958.40 262.0745 220.1269 0.00449099098 +167193.55 240.5153 202.9289 0.00935355547 +171543.56 220.5 186.8991 0.00863649234 +175962.63 202.0258 172.047 0.00734982993 +180499.49 185.252 158.4607 0.00198015151 +185125.67 169.2167 145.4815 0.00160156174 +189824.57 154.3288 133.4245 0.00286443712 +194456.55 140.7894 122.3611 0.00302142351 +199142.50 128.4135 112.2113 0.00284270997 +203769.44 117.2494 103.0191 0.00324175878 +208468.45 106.561 94.1868 0.00296580512 +213088.44 97.1129 86.3561 0.0022246348 +217713.66 88.3529 79.0652 0.00209666402 +222245.72 80.6983 72.6738 0.00258766304 +226778.42 73.4493 66.6047 0.00214032708 +231373.49 65.6124 60.0282 0.00117303026 +235065.63 62.5656 57.4707 0.00215429803 +238156.44 60.9446 56.1093 0.00220476756 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c5-original.dat b/calib_data/_calib_data/calib2024-12-06_p2_c5-original.dat new file mode 100644 index 0000000..0e62a1c --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c5-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47702.59 1522.903 1851.737 0.0452559388 +50793.56 13486.27 16394.25 1.87201763 +53248.42 11188.02 13568.83 0.85510818 +55668.43 9433.64 11419.3 0.508527285 +58273.61 8038.54 9718.17 0.459575891 +60844.58 6845.5 8267.94 0.421710801 +63388.43 5899.08 7122.2 0.461735855 +65842.60 5170.81 6241.27 0.201022387 +77313.54 4281.823 5168.841 0.273146298 +79523.59 3875.231 4678.52 0.0749266308 +81735.76 3505.443 4233.725 0.100451481 +83963.57 3176.481 3837.769 0.102950959 +86168.43 2885.232 3487.449 0.102298094 +88408.44 2625.736 3175.658 0.0774054262 +90654.65 2396.415 2900.313 0.0542411283 +92863.57 2192.014 2654.608 0.0557458519 +95088.43 2011.509 2437.733 0.0599007512 +97305.76 1847.23 2240.68 0.0643428318 +99552.57 1696.896 2060.146 0.0603191512 +101824.66 1561.562 1898.985 0.0906449116 +104075.80 1440.382 1753.856 0.0909857132 +106314.65 1328.946 1620.298 0.0627502988 +108566.41 1226.425 1497.124 0.0209857094 +110826.46 1132.743 1385.441 0.0213752193 +113086.48 1047.149 1283.485 0.0227266364 +115365.73 969.426 1191.107 0.0189235303 +117656.46 894.684 1102.401 0.0136711375 +119966.47 827.783 1023.124 0.0206494552 +122316.44 764.38 948.17 0.0196468827 +124682.61 707.971 881.468 0.0234008547 +127112.59 652.827 816.521 0.0179136819 +129593.47 602.327 756.822 0.0219453868 +132138.45 556.012 702.221 0.0233858932 +134783.63 513.623 652.229 0.0275481397 +137516.43 472.5798 603.978 0.03706211 +140499.42 434.7835 559.291 0.0302803567 +143528.42 400.4592 518.563 0.0186574382 +147748.49 367.8716 479.6998 0.0700276802 +151105.74 338.2964 444.265 0.00504579032 +154976.52 310.4995 410.9223 0.00737570336 +158966.62 285.1992 380.3627 0.00721255849 +163048.45 262.0291 352.2129 0.00538600037 +167283.50 240.4677 325.8579 0.00732454777 +171634.53 220.4545 301.1851 0.00596900327 +176054.51 201.9761 278.2389 0.00434614772 +180590.57 185.2084 257.1889 0.00731771822 +185216.55 169.1819 236.9191 0.00906912344 +189915.73 154.282 217.981 0.00823650411 +194547.44 140.7471 200.485 0.0106808239 +199233.65 128.3782 184.3399 0.00835158668 +203860.60 117.2146 169.6018 0.00703676062 +208558.42 106.5327 155.289 0.00269814751 +213178.44 97.0938 142.5332 0.00210618138 +217804.66 88.334 130.5863 0.00249419326 +222336.56 80.6851 120.0129 0.00253160028 +226868.47 73.434 109.8898 0.00147512711 +231463.49 65.5991 98.8125 0.00266176633 +235156.43 62.5517 94.4596 0.00229434086 +238247.44 60.9281 92.1349 0.00195166596 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c5.dat b/calib_data/_calib_data/calib2024-12-06_p2_c5.dat new file mode 100644 index 0000000..8489143 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c5.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47702.59 15229.03 1851.737 0.0452559388 +50793.56 13486.27 16394.25 1.87201763 +53248.42 11188.02 13568.83 0.85510818 +55668.43 9433.64 11419.3 0.508527285 +58273.61 8038.54 9718.17 0.459575891 +60844.58 6845.5 8267.94 0.421710801 +63388.43 5899.08 7122.2 0.461735855 +65842.60 5170.81 6241.27 0.201022387 +77313.54 4281.823 5168.841 0.273146298 +79523.59 3875.231 4678.52 0.0749266308 +81735.76 3505.443 4233.725 0.100451481 +83963.57 3176.481 3837.769 0.102950959 +86168.43 2885.232 3487.449 0.102298094 +88408.44 2625.736 3175.658 0.0774054262 +90654.65 2396.415 2900.313 0.0542411283 +92863.57 2192.014 2654.608 0.0557458519 +95088.43 2011.509 2437.733 0.0599007512 +97305.76 1847.23 2240.68 0.0643428318 +99552.57 1696.896 2060.146 0.0603191512 +101824.66 1561.562 1898.985 0.0906449116 +104075.80 1440.382 1753.856 0.0909857132 +106314.65 1328.946 1620.298 0.0627502988 +108566.41 1226.425 1497.124 0.0209857094 +110826.46 1132.743 1385.441 0.0213752193 +113086.48 1047.149 1283.485 0.0227266364 +115365.73 969.426 1191.107 0.0189235303 +117656.46 894.684 1102.401 0.0136711375 +119966.47 827.783 1023.124 0.0206494552 +122316.44 764.38 948.17 0.0196468827 +124682.61 707.971 881.468 0.0234008547 +127112.59 652.827 816.521 0.0179136819 +129593.47 602.327 756.822 0.0219453868 +132138.45 556.012 702.221 0.0233858932 +134783.63 513.623 652.229 0.0275481397 +137516.43 472.5798 603.978 0.03706211 +140499.42 434.7835 559.291 0.0302803567 +143528.42 400.4592 518.563 0.0186574382 +147748.49 367.8716 479.6998 0.0700276802 +151105.74 338.2964 444.265 0.00504579032 +154976.52 310.4995 410.9223 0.00737570336 +158966.62 285.1992 380.3627 0.00721255849 +163048.45 262.0291 352.2129 0.00538600037 +167283.50 240.4677 325.8579 0.00732454777 +171634.53 220.4545 301.1851 0.00596900327 +176054.51 201.9761 278.2389 0.00434614772 +180590.57 185.2084 257.1889 0.00731771822 +185216.55 169.1819 236.9191 0.00906912344 +189915.73 154.282 217.981 0.00823650411 +194547.44 140.7471 200.485 0.0106808239 +199233.65 128.3782 184.3399 0.00835158668 +203860.60 117.2146 169.6018 0.00703676062 +208558.42 106.5327 155.289 0.00269814751 +213178.44 97.0938 142.5332 0.00210618138 +217804.66 88.334 130.5863 0.00249419326 +222336.56 80.6851 120.0129 0.00253160028 +226868.47 73.434 109.8898 0.00147512711 +231463.49 65.5991 98.8125 0.00266176633 +235156.43 62.5517 94.4596 0.00229434086 +238247.44 60.9281 92.1349 0.00195166596 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c6-original.dat b/calib_data/_calib_data/calib2024-12-06_p2_c6-original.dat new file mode 100644 index 0000000..8fe79f4 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c6-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47793.59 1521.933 1719.351 0.0578869588 +50884.64 13480.66 14319.19 1.7778892 +53338.42 11183.14 11923.11 0.691295885 +55758.43 9430.21 10092.72 0.737672014 +58363.57 8037.32 8632.7 0.754055701 +60935.74 6844.79 7379.55 0.434798804 +63478.43 5899.13 6385.43 0.537038174 +65933.56 5170.51 5617.86 0.29906521 +77403.59 4284.228 4680.639 0.151614313 +79613.60 3876.047 4247.419 0.0931713475 +81826.45 3505.819 3853.236 0.0672041665 +84053.58 3176.744 3502 0.103797881 +86258.42 2885.15 3190.344 0.0833930453 +88498.44 2625.609 2912.131 0.0578869588 +90745.73 2396.32 2665.706 0.0564127645 +92953.58 2191.865 2445.343 0.0668887135 +95178.43 2011.217 2250.22 0.0781152994 +97396.44 1847.012 2072.37 0.0876013699 +99643.62 1696.584 1909.175 0.0642066975 +101915.70 1561.415 1763.074 0.0534265851 +104166.43 1440.336 1631.385 0.0972959403 +106405.78 1328.941 1509.187 0.0295313393 +108657.41 1226.362 1397.381 0.0369716107 +110917.43 1132.728 1295.14 0.0270554985 +113177.44 1047.068 1201.68 0.0124096736 +115456.45 969.396 1116.867 0.0264215821 +117747.42 894.653 1035.197 0.0209785605 +120057.43 827.748 962.116 0.0228997817 +122407.44 764.387 892.923 0.0191337398 +124773.62 707.946 831.144 0.0183412104 +127203.63 652.79 770.911 0.0333601559 +129683.48 602.256 715.466 0.0253061257 +132229.45 555.879 664.621 0.0221110832 +134873.55 513.578 618.074 0.0107888832 +137607.44 472.5417 573.065 0.0201121854 +140590.57 434.7474 531.258 0.0212508823 +143618.43 400.4457 492.945 0.00879659025 +147839.40 367.8655 456.5886 0.010477786 +151196.51 338.265 423.3827 0.0120897064 +155067.44 310.4663 391.9963 0.00657426802 +159057.42 285.1454 363.2376 0.00640343658 +163138.45 261.9736 336.7056 0.00824645378 +167374.47 240.4183 311.8406 0.00795260963 +171725.74 220.4104 288.5086 0.00678851972 +176145.79 201.9501 266.8114 0.00656384034 +180681.57 185.1475 246.8663 0.00688774274 +185307.43 169.1403 227.6223 0.00890847911 +190006.61 154.2423 209.643 0.0112222992 +194638.43 140.7059 193.0114 0.00755804207 +199324.50 128.3436 177.6548 0.0082277579 +203951.53 117.179 163.5939 0.00439420072 +208648.46 106.512 149.9523 0.00309854805 +213268.48 97.0719 137.7846 0.00261992366 +217895.67 88.3197 126.364 0.00232808935 +222427.41 80.6663 116.2478 0.00203371581 +226959.43 73.4169 106.5546 0.00355021126 +231554.49 65.5874 95.9447 0.0018817545 +235247.43 62.5441 91.7755 0.00401061093 +238338.45 60.9205 89.5391 0.0014862705 diff --git a/calib_data/_calib_data/calib2024-12-06_p2_c6.dat b/calib_data/_calib_data/calib2024-12-06_p2_c6.dat new file mode 100644 index 0000000..afbf658 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-06_p2_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47793.59 15219.33 1719.351 0.0578869588 +50884.64 13480.66 14319.19 1.7778892 +53338.42 11183.14 11923.11 0.691295885 +55758.43 9430.21 10092.72 0.737672014 +58363.57 8037.32 8632.7 0.754055701 +60935.74 6844.79 7379.55 0.434798804 +63478.43 5899.13 6385.43 0.537038174 +65933.56 5170.51 5617.86 0.29906521 +77403.59 4284.228 4680.639 0.151614313 +79613.60 3876.047 4247.419 0.0931713475 +81826.45 3505.819 3853.236 0.0672041665 +84053.58 3176.744 3502 0.103797881 +86258.42 2885.15 3190.344 0.0833930453 +88498.44 2625.609 2912.131 0.0578869588 +90745.73 2396.32 2665.706 0.0564127645 +92953.58 2191.865 2445.343 0.0668887135 +95178.43 2011.217 2250.22 0.0781152994 +97396.44 1847.012 2072.37 0.0876013699 +99643.62 1696.584 1909.175 0.0642066975 +101915.70 1561.415 1763.074 0.0534265851 +104166.43 1440.336 1631.385 0.0972959403 +106405.78 1328.941 1509.187 0.0295313393 +108657.41 1226.362 1397.381 0.0369716107 +110917.43 1132.728 1295.14 0.0270554985 +113177.44 1047.068 1201.68 0.0124096736 +115456.45 969.396 1116.867 0.0264215821 +117747.42 894.653 1035.197 0.0209785605 +120057.43 827.748 962.116 0.0228997817 +122407.44 764.387 892.923 0.0191337398 +124773.62 707.946 831.144 0.0183412104 +127203.63 652.79 770.911 0.0333601559 +129683.48 602.256 715.466 0.0253061257 +132229.45 555.879 664.621 0.0221110832 +134873.55 513.578 618.074 0.0107888832 +137607.44 472.5417 573.065 0.0201121854 +140590.57 434.7474 531.258 0.0212508823 +143618.43 400.4457 492.945 0.00879659025 +147839.40 367.8655 456.5886 0.010477786 +151196.51 338.265 423.3827 0.0120897064 +155067.44 310.4663 391.9963 0.00657426802 +159057.42 285.1454 363.2376 0.00640343658 +163138.45 261.9736 336.7056 0.00824645378 +167374.47 240.4183 311.8406 0.00795260963 +171725.74 220.4104 288.5086 0.00678851972 +176145.79 201.9501 266.8114 0.00656384034 +180681.57 185.1475 246.8663 0.00688774274 +185307.43 169.1403 227.6223 0.00890847911 +190006.61 154.2423 209.643 0.0112222992 +194638.43 140.7059 193.0114 0.00755804207 +199324.50 128.3436 177.6548 0.0082277579 +203951.53 117.179 163.5939 0.00439420072 +208648.46 106.512 149.9523 0.00309854805 +213268.48 97.0719 137.7846 0.00261992366 +217895.67 88.3197 126.364 0.00232808935 +222427.41 80.6663 116.2478 0.00203371581 +226959.43 73.4169 106.5546 0.00355021126 +231554.49 65.5874 95.9447 0.0018817545 +235247.43 62.5441 91.7755 0.00401061093 +238338.45 60.9205 89.5391 0.0014862705 diff --git a/calib_data/_calib_data/calib2024-12-09_p0_c1.dat b/calib_data/_calib_data/calib2024-12-09_p0_c1.dat new file mode 100644 index 0000000..27716ee --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p0_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +67970.60 17553.23 445.98 0.0181565415 +70575.69 13326.27 408.9861 0.00907573688 +72777.42 11427.59 389.2283 0.00641880051 +74977.43 9841.26 370.6065 0.00660492241 +77173.52 8571.56 353.8821 0.00924818901 +79369.45 7466.15 337.6768 0.00898309523 +81566.46 6550.59 322.7348 0.00814346364 +83762.63 5778.76 308.842 0.00894427191 +85963.49 5132.79 296.0292 0.00850623301 +88223.49 4559.758 283.6169 0.0066052252 +90428.43 4060.425 271.7485 0.00360347055 +92644.51 3630.186 260.5678 0.00680705516 +94865.65 3253.787 249.9466 0.00665462245 +97098.42 2923.335 239.8332 0.00773666595 +99327.43 2628.238 230.0206 0.00559499777 +101592.64 2370.526 220.7686 0.00525965778 +103828.41 2150.521 212.278 0.0084923495 +106056.42 1957.906 204.3038 0.00992149182 +108283.52 1787.023 196.7338 0.00747903737 +110515.65 1635.698 189.5838 0.00752037233 +112746.46 1502.468 182.9583 0.00762502459 +114983.50 1379.155 176.4032 0.0065449217 +117207.44 1267.504 170.1083 0.00559115373 +119468.45 1165.998 164.0447 0.00849240837 +121729.42 1074.245 158.1895 0.00249499499 +124001.63 991.541 152.6762 0.00337283264 +126310.60 912.649 147.11 0.00201494417 +128625.66 842.655 141.8949 0.00274390233 +130945.63 776.895 136.7219 0.00335097001 +133310.60 718.527 131.8705 0.00184526421 +135715.65 661.878 126.9019 0.00196188685 +138200.58 609.893 122.0697 0.00277866875 +140732.63 562.433 117.4127 0.00183330303 +143328.45 519.095 112.9288 0.00318998433 +146015.66 477.2764 108.3773 0.00207870152 +148790.59 438.8868 103.945 0.00250998008 +151697.41 403.7219 99.6593 0.00253396922 +155283.51 370.5073 95.3898 0.00334604244 +158683.52 341.2 91.4272 0.00191728975 +162480.58 313.2714 87.463 0.00269443872 +166416.48 287.5015 83.6167 0.00182236111 +170443.50 264.0062 79.9294 0.00303380949 +174633.48 242.1118 76.321 0.0031144823 +178941.58 221.8554 72.813 0.00224499443 +183321.65 203.1747 69.4137 0.00258089132 +187833.67 186.144 66.1642 0.00174814187 +192361.65 170.0645 62.9313 0.00220476756 +197071.63 154.9338 59.7556 0.00242156974 +201768.42 141.2717 56.7247 0.00278585714 +206404.52 128.8927 53.8301 0.00354809808 +211063.62 117.6341 51.0695 0.00360901649 +215893.60 106.8565 48.27042 0.00105278678 +220553.50 97.3799 45.71292 0.00100227741 +225179.45 88.5843 43.22631 0.000573837956 +229745.67 80.8615 40.94189 0.000787965735 +234279.42 73.6065 38.70428 0.0011180161 +238907.44 65.7571 36.16618 0.000590050845 +242627.42 62.6951 35.13674 0.000764748325 +245748.43 61.0598 34.57945 0.000720728798 diff --git a/calib_data/_calib_data/calib2024-12-09_p0_c2.dat b/calib_data/_calib_data/calib2024-12-09_p0_c2.dat new file mode 100644 index 0000000..d4efb5c --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p0_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68061.63 17552.75 19187.77 1.87446259 +70666.49 13327.74 14674.94 0.526535849 +72868.41 11428.25 12632.48 0.358831437 +75068.43 9841.08 10919.08 0.399949997 +77264.52 8571.44 9542.99 0.196697738 +79460.57 7466.6 8337.93 0.304975409 +81657.43 6550.66 7335.47 0.39218618 +83853.59 5779.75 6487.28 0.217163533 +86054.60 5132.82 5773.35 0.215522621 +88313.49 4559.679 5139.7 0.176068169 +90518.42 4060.44 4581.339 0.112413967 +92735.64 3630.325 4100.15 0.054277067 +94956.44 3253.789 3677.527 0.0875791071 +97188.42 2923.34 3305.346 0.0681498349 +99418.43 2628.092 2971.199 0.0470414711 +101683.52 2370.488 2678.935 0.0771783648 +103918.46 2150.372 2428.526 0.0892658949 +106147.43 1957.611 2208.641 0.0642876349 +108373.48 1787.002 2013.673 0.0738112458 +110606.40 1635.49 1840.475 0.0847614299 +112837.42 1502.275 1688.684 0.0520615021 +115073.51 1379.166 1547.06 0.0289482297 +117298.44 1267.439 1419.201 0.023428615 +119558.45 1165.941 1303.22 0.0165529454 +121820.58 1074.144 1198.513 0.0219111844 +124092.63 991.447 1104.381 0.0193106188 +126401.64 912.569 1014.873 0.0179471446 +128716.45 842.52 935.662 0.0283125414 +131036.46 776.791 861.607 0.0164347193 +133401.64 718.462 796.134 0.0278280434 +135806.45 661.765 732.764 0.0187189743 +138291.62 609.791 674.918 0.0194319325 +140823.51 562.306 622.253 0.0105877287 +143418.45 519.02 574.437 0.0221833271 +146106.46 477.1634 528.568 0.0296580512 +148881.63 438.7942 486.2843 0.00823049209 +151788.45 403.6394 447.8543 0.00622101278 +155373.51 370.4352 411.5964 0.00444792086 +158774.52 341.065 379.5929 0.00881413637 +162571.62 313.1402 349.1986 0.00992088706 +166507.44 287.3812 321.1687 0.0111759116 +170533.50 263.8816 295.6183 0.0102587036 +174723.48 242.0112 271.788 0.00926066952 +179032.63 221.7333 249.7092 0.00707361294 +183412.48 203.0683 229.3744 0.00919478113 +187924.50 186.0466 210.7762 0.00885753916 +192452.61 169.9757 193.1547 0.00811671116 +197162.63 154.854 176.649 0.0137971011 +201858.41 141.1966 161.6368 0.00683198361 +206495.76 128.8256 147.9146 0.00362270617 +211154.58 117.5703 135.468 0.00384967531 +215984.48 106.8007 123.5144 0.0040303846 +220643.63 97.3286 112.9785 0.00290258505 +225270.57 88.5333 103.1713 0.00383418831 +229836.51 80.8179 94.5332 0.00380473389 +234370.58 73.5742 86.3932 0.00339057517 +238998.44 65.7259 77.5455 0.00297405447 +242718.42 62.6661 74.0745 0.00186681547 +245838.43 61.0274 72.2225 0.00309919344 diff --git a/calib_data/_calib_data/calib2024-12-09_p0_c4.dat b/calib_data/_calib_data/calib2024-12-09_p0_c4.dat new file mode 100644 index 0000000..248fad2 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p0_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68152.64 17552.49 9874.24 0.257371327 +70757.44 13328.09 7768.47 0.271679959 +72958.46 11426.38 6788.96 0.271735165 +75158.43 9841.47 5956.48 0.250918313 +77355.64 8571.29 5280.15 0.242177621 +79551.61 7465.99 4677.506 0.10099703 +81748.42 6550.86 4172.246 0.134269877 +83944.51 5780.24 3740.561 0.189860212 +86145.64 5132.54 3372.58 0.0954567965 +88403.49 4559.54 3042.316 0.0909857132 +90608.42 4060.362 2749.621 0.0427188483 +92826.43 3630.252 2494.114 0.107797959 +95047.45 3253.763 2267.007 0.0495993952 +97278.42 2923.278 2065.098 0.0418282201 +99508.43 2628.014 1881.985 0.0500249938 +101773.52 2370.282 1720.187 0.0736756405 +104008.45 2150.436 1579.72 0.0254950976 +106238.43 1957.727 1455.596 0.0251475645 +108463.51 1786.918 1344.328 0.024240462 +110697.44 1635.566 1244.624 0.0354739341 +112928.42 1502.17 1156.165 0.0185067555 +115163.50 1379.133 1073.131 0.021883784 +117388.43 1267.349 997.005 0.0270277635 +119648.45 1165.908 927.042 0.0244867311 +121911.62 1074.01 863.109 0.0310950157 +124183.51 991.288 804.855 0.0189868375 +126492.60 912.458 748.712 0.028241813 +128807.42 842.367 698.255 0.0193002591 +131127.42 776.702 650.333 0.024861617 +133492.64 718.387 607.361 0.0172887246 +135897.45 661.708 565.009 0.0243084348 +138382.58 609.656 525.747 0.0202509259 +140913.52 562.226 489.2893 0.00842146068 +143508.45 518.965 455.7504 0.00797395761 +146197.42 477.0878 423.0896 0.00881725581 +148972.63 438.6991 392.6166 0.00469936166 +151878.45 403.5697 364.3991 0.00543405926 +155463.50 370.3687 337.4214 0.0060517766 +158865.68 340.9476 313.2171 0.00587443614 +162662.66 313.0084 289.9747 0.00705981586 +166598.44 287.2496 268.3355 0.00752230018 +170623.50 263.761 248.3449 0.0114677374 +174813.48 241.8872 229.563 0.00457820926 +179123.58 221.6159 211.9569 0.00648143503 +183503.49 202.9651 195.5747 0.00746598955 +188015.83 185.9606 180.5062 0.0044086279 +192543.48 169.875 166.1171 0.00712242936 +197253.59 154.7851 152.4615 0.00312809846 +201948.42 141.1303 139.9986 0.00299399399 +206586.48 128.7652 128.593 0.0036138622 +211245.78 117.5125 118.1342 0.0031962478 +216075.65 106.7398 108.0353 0.00309531905 +220734.63 97.28 99.0845 0.00258940148 +225361.65 88.4882 90.7103 0.00342651426 +229927.44 80.7792 83.3039 0.00131491445 +234461.61 73.5355 76.2932 0.00334604244 +239089.45 65.6972 68.6403 0.00317505905 +242808.42 62.6332 65.6304 0.00181769084 +245928.43 60.9981 64.0196 0.00235881326 diff --git a/calib_data/_calib_data/calib2024-12-09_p0_c5.dat b/calib_data/_calib_data/calib2024-12-09_p0_c5.dat new file mode 100644 index 0000000..f942f26 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p0_c5.dat @@ -0,0 +1,50 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68243.52 17547.24 10645.95 1.11939716 +70848.45 13327.5 8082.02 0.421141306 +73049.42 11425.1 6924.9 0.267581763 +75248.43 9840.58 5961.91 0.298814324 +77446.44 8571.3 5191.17 0.352718018 +79642.61 7466.51 4517.742 0.175566512 +81838.42 6550.91 3961.221 0.0611138282 +84035.76 5780.2 3492.448 0.0712713126 +86236.48 5132.18 3098.785 0.0719478978 +88493.50 4559.681 2751.18 0.0656810475 +90698.43 4060.239 2446.624 0.10546279 +92917.43 3630.214 2184.117 0.0724851709 +95138.45 3253.766 1954.678 0.0994967336 +97368.42 2923.121 1752.822 0.0761813626 +99598.43 2628.189 1571.237 0.0392950379 +101864.48 2370.209 1413.886 0.0334424879 +104099.45 2150.51 1279.565 0.0343292878 +106328.42 1957.734 1161.777 0.0316243577 +108553.52 1786.956 1057.598 0.028975852 +110788.45 1635.673 965.337 0.019851952 +113018.42 1502.172 884.481 0.0305434117 +115253.51 1379.018 809.602 0.020238577 +117478.43 1267.204 741.844 0.0370189141 +119739.41 1165.813 680.502 0.0189103146 +122002.62 1073.924 625.16 0.013114877 +124273.51 991.211 575.56 0.0177763888 +126583.52 912.375 528.438 0.0243228288 +128898.41 842.338 455.1977 0.00679418869 +131218.43 776.637 419.0191 0.00749459805 +133583.52 718.358 387.2687 0.0074431848 +135988.45 661.667 356.5208 0.00650814874 +138473.50 609.633 328.4211 0.00493649673 +141003.52 562.227 302.8597 0.00775377327 +143599.45 518.941 279.7202 0.00431462629 +146288.42 477.0273 257.6061 0.00705187918 +149063.52 438.6107 237.3114 0.00839785687 +151968.41 403.4895 218.7956 0.00822702863 +155553.51 370.3147 201.4766 0.0101392307 +158956.45 340.8307 186.0619 0.0110203902 +162753.50 312.8931 171.509 0.00826559133 +166688.45 287.1451 158.1919 0.0241910934 +170714.50 263.6465 145.9613 0.0218133216 +174903.48 241.7881 134.6218 0.0270143665 +179213.58 221.5209 124.1092 0.0177424914 +183593.49 202.8766 114.4851 0.0133240009 +188110.51 185.8901 105.6596 0.0156730342 +192634.49 169.7869 97.2324 0.0274769722 +197344.51 154.7201 89.4848 0.00948451369 diff --git a/calib_data/_calib_data/calib2024-12-09_p0_c6.dat b/calib_data/_calib_data/calib2024-12-09_p0_c6.dat new file mode 100644 index 0000000..8226cca --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p0_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68333.63 17544.93 19677.77 1.73384255 +70939.45 13328.9 15034.01 0.287210724 +73140.58 11427.03 12928.71 0.679036082 +75338.43 9840.22 11167.16 0.365568051 +77537.44 8571.36 9753.34 0.209380037 +79733.49 7466.87 8516.15 0.158271918 +81928.42 6550.42 7486.34 0.192457788 +84126.43 5779.46 6616.69 0.341891796 +86327.45 5131.61 5884.15 0.149833241 +88583.50 4559.792 5236.65 0.208446636 +90788.43 4060.578 4665.607 0.070186181 +93008.44 3630.325 4173.536 0.12514152 +95228.41 3253.843 3741.694 0.0767619698 +97458.42 2923.161 3361.116 0.101115775 +99688.43 2628.162 3020.025 0.0455466794 +101955.68 2370.387 2721.657 0.0563036411 +104190.57 2150.48 2466.464 0.0827550603 +106418.42 1957.478 2242.019 0.0819444934 +108644.64 1786.991 2043.458 0.0946657277 +110878.45 1635.464 1867.24 0.0728010989 +113108.41 1502.164 1712.659 0.0798179178 +115343.51 1379.017 1568.506 0.033888051 +117568.43 1267.195 1438.383 0.0172655727 +119830.60 1165.754 1320.507 0.0211683726 +122093.62 1073.867 1213.967 0.0322195593 +124364.51 991.133 1118.314 0.0155692004 +126674.52 912.359 1027.49 0.0260768096 +128988.42 842.326 947.017 0.0164347193 +131308.43 776.56 871.776 0.0195038458 +133673.52 718.273 805.388 0.0193287351 +136079.41 661.569 741.109 0.0311271586 +138563.50 609.614 682.513 0.0212626433 +141094.52 562.163 629.057 0.0268346791 +143690.61 518.817 580.528 0.0309127805 +146378.42 476.9545 534.087 0.0238348484 +149153.51 438.5636 491.2454 0.00772813043 +152058.45 403.4107 452.294 0.0076602872 +155643.51 370.2605 415.6366 0.00882745717 +159047.45 340.7315 383.0718 0.00548962658 +162843.51 312.7987 352.2853 0.00632305306 +166778.44 287.0485 323.9551 0.00726009642 +170805.67 263.5578 298.0971 0.00927949352 +174993.48 241.7027 274.0436 0.0080959249 +179303.63 221.4371 251.729 0.0103720779 +183683.50 202.7929 231.1578 0.00699685644 +188209.43 185.8011 212.392 0.00637965516 +192725.65 169.725 194.6248 0.0155812708 +197435.67 154.649 177.9984 0.0089500838 +202128.42 141.0054 162.8231 0.00602071424 +206768.44 128.6455 149.0024 0.0026540535 +211427.42 117.405 136.4579 0.00253948814 +216257.45 106.6515 124.424 0.00318433667 +220916.44 97.1926 113.8107 0.00298680431 +225543.62 88.4124 103.9302 0.00288374756 +230108.43 80.7081 95.2393 0.00289153938 +234643.58 73.4782 87.0491 0.00305761345 +239271.64 65.6412 78.15 0.00296984848 +242988.42 62.5828 74.6623 0.00250619233 +246108.44 60.9496 72.8123 0.00340014706 diff --git a/calib_data/_calib_data/calib2024-12-09_p1_c1.dat b/calib_data/_calib_data/calib2024-12-09_p1_c1.dat new file mode 100644 index 0000000..6905a45 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p1_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68449.44 17539.01 445.8757 0.0123272462 +71055.69 13328.08 409.0312 0.00706371007 +73256.42 11426.77 389.202 0.00997997996 +75453.51 9840.95 370.608 0.00700999287 +77653.57 8572.65 353.9091 0.0114808101 +79848.41 7465.96 337.6637 0.00784863045 +82043.50 6550.19 322.738 0.008655634 +84242.64 5779.79 308.8316 0.00461345857 +86493.53 5132.38 296.0215 0.00825378701 +88698.46 4559.934 283.6381 0.00691151214 +90903.62 4060.308 271.754 0.00600832755 +93124.52 3630.279 260.5703 0.00625307924 +95343.61 3253.848 249.946 0.00603324125 +97573.50 2923.332 239.8176 0.00720583097 +99803.51 2627.816 230.005 0.00713161973 +102071.61 2370.249 220.7775 0.00436405774 +104306.42 2150.059 212.257 0.00854751426 +106533.63 1957.332 204.2817 0.00924883776 +108760.60 1786.519 196.7139 0.00812582304 +110993.48 1635.42 189.5664 0.00595348637 +113223.54 1502.109 182.9448 0.00923125127 +115458.42 1378.927 176.4091 0.00392288159 +117684.52 1267.158 170.0891 0.00830716558 +119946.45 1165.69 164.0337 0.00546452194 +122209.42 1073.896 158.1618 0.00267132926 +124480.59 991.154 152.6409 0.00198217053 +126790.60 912.2 147.0842 0.00217163533 +129103.50 842.279 141.865 0.00301330383 +131423.51 776.455 136.6857 0.00417624233 +133788.44 718.177 131.8366 0.00277200289 +136195.66 661.491 126.8647 0.00314022292 +138678.42 609.519 122.0408 0.00300599401 +141210.60 562.054 117.381 0.00446766158 +143806.45 518.706 112.8899 0.0020709901 +146493.50 476.8998 108.3338 0.00155434874 +149268.44 438.4618 103.8983 0.00277506757 +152173.61 403.3494 99.6098 0.00258379566 +155758.43 370.1968 95.348 0.00191833261 +159163.52 340.6205 91.3547 0.00174957138 +162958.42 312.6875 87.3738 0.00223964283 +166893.52 286.9301 83.5303 0.0019851952 +170921.66 263.4272 79.8348 0.0020238577 +175108.45 241.5918 76.2292 0.00264121184 +179418.43 221.3357 72.7215 0.00218746429 +183798.45 202.7026 69.3294 0.00182866071 +188325.75 185.7221 66.0753 0.0024861617 +192841.65 169.6326 62.8433 0.00230672929 +197551.64 154.5683 59.6772 0.00154790181 +202244.49 140.9324 56.6439 0.00201221271 +206883.64 128.5708 53.749 0.00343511281 +211548.51 117.3323 50.9931 0.00180803761 +216373.61 106.5899 48.20274 0.000973570747 +221032.63 97.1406 45.64793 0.000829463682 +225659.46 88.3627 43.16305 0.000691122276 +230223.64 80.6743 40.88662 0.000730588804 +234759.42 73.4399 38.65169 0.0007850414 +239387.44 65.6085 36.11434 0.000860604439 +243104.62 62.5519 35.08968 0.00097537685 +246223.63 60.9261 34.53492 0.00120181529 diff --git a/calib_data/_calib_data/calib2024-12-09_p1_c2.dat b/calib_data/_calib_data/calib2024-12-09_p1_c2.dat new file mode 100644 index 0000000..e3b3ba2 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p1_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68540.60 17533.85 19165.47 1.25236177 +71146.45 13328.69 14674.58 0.406890649 +73347.42 11426.61 12632 0.439772669 +75543.47 9840.51 10919.42 0.27342275 +77743.53 8573.46 9544.78 0.304893424 +79938.43 7465.02 8336.73 0.313384748 +82133.63 6550.48 7334.71 0.249178651 +84333.51 5779.88 6486.67 0.435671895 +86583.56 5133.24 5772.79 0.306088223 +88789.42 4559.729 5139.17 0.318449368 +90994.50 4060.334 4581.526 0.137689506 +93215.68 3630.379 4100.274 0.0647950615 +95434.53 3253.891 3677.671 0.0654133014 +97663.50 2923.447 3305.318 0.0742670856 +99893.51 2627.736 2971.006 0.0599032553 +102162.48 2370.374 2678.538 0.0665552402 +104397.41 2150.119 2428.162 0.0776891241 +106624.62 1957.324 2208.327 0.0429662658 +108851.60 1786.632 2013.245 0.0621007246 +111083.49 1635.391 1840.251 0.0892350828 +113314.49 1502.051 1688.249 0.0857373897 +115548.44 1378.856 1546.824 0.0250679078 +117775.76 1267.101 1418.842 0.0230564525 +120037.45 1165.639 1302.96 0.0205912603 +122300.58 1073.846 1198.131 0.0108120303 +124571.64 991.159 1104.038 0.0184824241 +126881.65 912.271 1014.472 0.0191206694 +129193.50 842.238 935.357 0.0329256739 +131513.51 776.449 861.239 0.0295787086 +133878.44 718.151 795.757 0.0212626433 +136286.45 661.449 732.396 0.0166853229 +138768.42 609.506 674.619 0.0198217053 +141301.63 561.973 621.893 0.0189235303 +143897.45 518.68 574.086 0.0248676497 +146583.51 476.8396 528.215 0.0315673882 +149358.43 438.4305 485.9174 0.00914133469 +152264.53 403.2889 447.456 0.00881022134 +155848.42 370.1593 411.2781 0.00638975743 +159253.49 340.5392 379.0176 0.0058278641 +163048.42 312.5989 348.6111 0.00887744333 +166983.53 286.8446 320.5869 0.00969169748 +171012.62 263.3551 295.0222 0.00589881344 +175198.44 241.5142 271.2579 0.00703484186 +179508.42 221.2439 249.1956 0.00478581237 +183888.44 202.6228 228.8558 0.00786485855 +188416.46 185.6553 210.3123 0.00971807594 +192932.49 169.5687 192.7028 0.00588523576 +197642.64 154.5113 176.2634 0.00871114229 +202335.70 140.8755 161.2631 0.00989085436 +206974.52 128.5202 147.5741 0.00330590381 +211697.86 117.2764 135.1296 0.00386574702 +216464.61 106.5542 123.2504 0.00237571042 +221123.63 97.1041 112.7314 0.00198090888 +225750.57 88.3267 102.9405 0.0027358728 +230314.63 80.6442 94.339 0.00405462699 +234850.58 73.4117 86.2097 0.00199022612 +239478.44 65.5871 77.3821 0.00153915561 +243195.79 62.5315 73.9313 0.00234968083 +246314.63 60.905 72.0889 0.00259403161 diff --git a/calib_data/_calib_data/calib2024-12-09_p1_c4.dat b/calib_data/_calib_data/calib2024-12-09_p1_c4.dat new file mode 100644 index 0000000..7677114 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p1_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68631.63 17531.45 9864.68 0.486168695 +71237.45 13331.52 7770.79 0.382478758 +73438.43 11425.62 6789.43 0.288461436 +75633.60 9841.39 5956.8 0.207846097 +77833.49 8572.83 5280.41 0.278729259 +80028.41 7465.87 4677.678 0.16991645 +82224.50 6550.8 4172.932 0.10280856 +84423.52 5779.6 3740.44 0.104613575 +86674.52 5132.86 3372.334 0.117509149 +88880.55 4559.619 3042.464 0.0587401055 +91085.63 4060.488 2749.713 0.0574116713 +93306.48 3630.212 2494.032 0.0710183075 +95525.65 3253.817 2266.935 0.0800281201 +97753.50 2923.435 2065.128 0.058477346 +99983.51 2627.731 1881.889 0.0678741482 +102253.52 2370.266 1720.097 0.0941705899 +104488.41 2150.178 1579.589 0.0257856549 +106715.66 1957.379 1455.384 0.0348482424 +108942.64 1786.67 1344.174 0.0252269697 +111173.53 1635.435 1244.494 0.0282913414 +113405.66 1502.063 1156.072 0.017538529 +115638.43 1378.868 1073.038 0.0198896958 +117866.48 1267.072 996.843 0.025221023 +120128.41 1165.618 926.895 0.0184526421 +122391.58 1073.765 862.906 0.0331119314 +124662.63 991.055 804.696 0.0221900879 +126972.56 912.253 748.504 0.0315658043 +129283.50 842.173 698.003 0.0208350666 +131603.51 776.399 650.125 0.0321014018 +133968.43 718.086 607.124 0.0254636997 +136377.41 661.378 564.815 0.0244642596 +138858.42 609.44 525.544 0.0239248824 +141392.63 561.922 489.047 0.00701997151 +143988.45 518.647 455.5274 0.00674121651 +146673.50 476.8015 422.8431 0.00811350726 +149449.43 438.3993 392.3716 0.00340939877 +152355.69 403.2273 364.141 0.0057965507 +155938.43 370.1237 337.2097 0.00814499847 +159343.49 340.4717 312.8105 0.00756736414 +163138.43 312.5259 289.5821 0.00681535032 +167073.52 286.7615 267.9034 0.00628999205 +171103.51 263.2639 247.92 0.00527636238 +175288.40 241.4375 229.1736 0.0066139247 +179598.43 221.1734 211.5915 0.00636592491 +183978.45 202.542 195.21 0.00901665126 +188507.43 185.5839 180.1745 0.00846079193 +193023.49 169.5168 165.762 0.00849941174 +197733.64 154.4593 152.1639 0.00323558341 +202426.42 140.8314 139.7143 0.00367980978 +207065.77 128.4698 128.319 0.0021023796 +211789.43 117.2251 117.8655 0.00188281704 +216555.64 106.5201 107.8241 0.0015195394 +221214.63 97.0703 98.8877 0.00319390044 +225841.58 88.2935 90.5304 0.0022592034 +230405.68 80.6138 83.1466 0.00217347648 +234941.62 73.3866 76.1473 0.00268346791 +239568.45 65.5651 68.5067 0.00236664319 +243286.46 62.5152 65.5081 0.00190499344 +246405.67 60.8882 63.911 0.00293257566 diff --git a/calib_data/_calib_data/calib2024-12-09_p1_c5-original.dat b/calib_data/_calib_data/calib2024-12-09_p1_c5-original.dat new file mode 100644 index 0000000..450b399 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p1_c5-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68722.64 17531.17 10633.29 0.857257254 +71328.41 13330.84 8083.26 0.26540535 +73528.42 11425.14 6924.97 0.183874958 +75724.51 9840.4 5960.87 0.329863608 +77923.52 8571.17 5192.06 0.224588513 +80118.41 7466.74 4517.686 0.129020929 +82315.79 6550.96 3960.979 0.076973372 +84513.51 5780.21 3492.439 0.0787965735 +86765.65 5132.55 3099.327 0.0884878523 +88971.62 4559.758 2751.176 0.130155292 +91176.43 4060.378 2446.512 0.11531522 +93397.44 3630.101 2184.11 0.0870057469 +95616.45 3253.868 1954.44 0.0798122798 +97843.50 2923.319 1752.925 0.0657457223 +100073.51 2627.932 1571.225 0.0304055916 +102344.52 2370.234 1413.734 0.0277560804 +104578.41 2150.142 1279.449 0.0167600716 +106806.42 1957.363 1161.562 0.0310096759 +109033.64 1786.655 1057.449 0.0247163913 +111263.52 1635.455 965.314 0.0256593063 +113496.42 1502.113 884.469 0.0203199409 +115728.43 1378.845 809.441 0.018732325 +117957.44 1267.013 741.77 0.0177763888 +120218.41 1165.534 680.449 0.022020445 +122482.62 1073.671 625.031 0.0277290461 +124753.51 990.947 575.427 0.0196494275 +127064.48 912.183 528.317 0.0237507895 +129374.50 842.163 455.1186 0.00993498868 +131694.51 776.392 418.8698 0.00908713376 +134058.44 718.058 387.0787 0.00647618715 +136468.46 661.415 356.441 0.00712460525 +138948.43 609.401 328.2859 0.00928164856 +141483.52 561.961 302.7278 0.0101121709 +144078.46 518.647 279.5876 0.00618417335 +146763.50 476.7639 257.4781 0.00626490223 +149540.60 438.3446 237.1628 0.00518613536 +152446.45 403.1694 218.6274 0.00531450844 +156028.43 370.0706 201.3174 0.00643303972 +159433.53 340.3971 185.8325 0.00764362479 +163228.43 312.4427 171.2608 0.00988008097 +167164.33 286.6935 157.9546 0.0326457348 +171193.34 263.1844 145.7734 0.0271688056 +175379.29 241.3738 134.4808 0.0192866793 +179688.27 221.1137 123.907 0.0260614658 +184070.45 202.4894 114.3116 0.0282762091 +188598.43 185.5163 105.4609 0.0176286415 +193113.45 169.445 97.1176 0.0188802542 +197824.48 154.4099 89.3238 0.0241953715 +202517.42 140.7849 170.5659 0.00865268744 +207156.49 128.4239 155.9205 0.00182893412 +211880.59 117.1837 142.6342 0.00329484446 +216646.45 106.4856 129.9709 0.00162757488 +221305.64 97.036 118.7675 0.00182345825 +225932.62 88.267 108.351 0.00250998008 +230496.44 80.5903 99.1999 0.00357896633 +235032.62 73.368 90.5792 0.00165408585 +239658.44 65.544 81.2136 0.00253061257 +243377.42 62.4943 77.5486 0.00339470175 +246496.48 60.8736 75.6053 0.00243741667 diff --git a/calib_data/_calib_data/calib2024-12-09_p1_c5.dat b/calib_data/_calib_data/calib2024-12-09_p1_c5.dat new file mode 100644 index 0000000..56bdf77 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p1_c5.dat @@ -0,0 +1,53 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68722.64 17531.17 10633.29 0.857257254 +71328.41 13330.84 8083.26 0.26540535 +73528.42 11425.14 6924.97 0.183874958 +75724.51 9840.4 5960.87 0.329863608 +77923.52 8571.17 5192.06 0.224588513 +80118.41 7466.74 4517.686 0.129020929 +82315.79 6550.96 3960.979 0.076973372 +84513.51 5780.21 3492.439 0.0787965735 +86765.65 5132.55 3099.327 0.0884878523 +88971.62 4559.758 2751.176 0.130155292 +91176.43 4060.378 2446.512 0.11531522 +93397.44 3630.101 2184.11 0.0870057469 +95616.45 3253.868 1954.44 0.0798122798 +97843.50 2923.319 1752.925 0.0657457223 +100073.51 2627.932 1571.225 0.0304055916 +102344.52 2370.234 1413.734 0.0277560804 +104578.41 2150.142 1279.449 0.0167600716 +106806.42 1957.363 1161.562 0.0310096759 +109033.64 1786.655 1057.449 0.0247163913 +111263.52 1635.455 965.314 0.0256593063 +113496.42 1502.113 884.469 0.0203199409 +115728.43 1378.845 809.441 0.018732325 +117957.44 1267.013 741.77 0.0177763888 +120218.41 1165.534 680.449 0.022020445 +122482.62 1073.671 625.031 0.0277290461 +124753.51 990.947 575.427 0.0196494275 +127064.48 912.183 528.317 0.0237507895 +129374.50 842.163 455.1186 0.00993498868 +131694.51 776.392 418.8698 0.00908713376 +134058.44 718.058 387.0787 0.00647618715 +136468.46 661.415 356.441 0.00712460525 +138948.43 609.401 328.2859 0.00928164856 +141483.52 561.961 302.7278 0.0101121709 +144078.46 518.647 279.5876 0.00618417335 +146763.50 476.7639 257.4781 0.00626490223 +149540.60 438.3446 237.1628 0.00518613536 +152446.45 403.1694 218.6274 0.00531450844 +156028.43 370.0706 201.3174 0.00643303972 +159433.53 340.3971 185.8325 0.00764362479 +163228.43 312.4427 171.2608 0.00988008097 +167164.33 286.6935 157.9546 0.0326457348 +171193.34 263.1844 145.7734 0.0271688056 +175379.29 241.3738 134.4808 0.0192866793 +179688.27 221.1137 123.907 0.0260614658 +184070.45 202.4894 114.3116 0.0282762091 +188598.43 185.5163 105.4609 0.0176286415 +193113.45 169.445 97.1176 0.0188802542 +197824.48 154.4099 89.3238 0.0241953715 +239658.44 65.544 81.2136 0.00253061257 +243377.42 62.4943 77.5486 0.00339470175 +246496.48 60.8736 75.6053 0.00243741667 diff --git a/calib_data/_calib_data/calib2024-12-09_p1_c6.dat b/calib_data/_calib_data/calib2024-12-09_p1_c6.dat new file mode 100644 index 0000000..9498d74 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p1_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68813.64 17527.28 19658.93 1.40000357 +71418.41 13330.85 15037.95 0.620523972 +73618.42 11425.09 12926.58 0.207267943 +75815.79 9840.4 11167.5 0.313049517 +78014.49 8571.14 9753.71 0.357057418 +80208.41 7466.05 8515.74 0.30469657 +82406.43 6550.5 7487.53 0.289153938 +84604.52 5780.17 6617.52 0.386212377 +86856.45 5132.43 5884.02 0.378364903 +89062.58 4559.733 5236.68 0.16358484 +91267.43 4060.253 4665.325 0.0698032951 +93488.44 3630.251 4173.53 0.0747127834 +95707.42 3253.886 3741.482 0.0719138373 +97933.46 2923.362 3361.059 0.0791384862 +100163.51 2628.11 3019.747 0.0852062204 +102435.60 2370.401 2721.615 0.0561114961 +104668.41 2150.113 2466.003 0.0791713332 +106897.42 1957.239 2241.897 0.0664838326 +109124.52 1786.514 2043.229 0.0608678897 +111353.54 1635.31 1866.943 0.0706406399 +113587.41 1502.087 1712.467 0.0682502747 +115818.43 1378.825 1568.318 0.0261457454 +118048.44 1267.046 1438.136 0.0332024096 +120308.41 1165.568 1320.307 0.0236241402 +122573.50 1073.672 1213.804 0.0290585616 +124844.52 990.948 1118.12 0.0224944438 +127155.65 912.137 1027.206 0.0249479458 +129465.77 842.157 946.829 0.0240603408 +131785.67 776.371 871.599 0.0229106962 +134148.44 718.079 805.11 0.0188679623 +136558.42 661.393 740.903 0.0264215821 +139038.42 609.422 682.202 0.0354062141 +141574.52 561.953 628.802 0.0356033706 +144168.46 518.585 580.259 0.0145910932 +146853.51 476.7035 533.799 0.036206353 +149631.64 438.3056 490.9376 0.00808727395 +152537.41 403.1377 451.9795 0.00758056726 +156119.43 370.0293 415.3827 0.00726780572 +159524.53 340.3336 382.6207 0.004331397 +163318.43 312.3789 351.841 0.00829819257 +167255.69 286.6338 323.4808 0.00811147336 +171283.63 263.1267 297.6154 0.00835487881 +175469.45 241.3079 273.6069 0.00874922854 +179778.42 221.0515 251.2991 0.0073436367 +184161.65 202.4309 230.7399 0.00394829077 +188688.43 185.4626 212.0169 0.00852578442 +193203.61 169.3714 194.238 0.00686440092 +197915.67 154.3548 177.655 0.0114873844 +202608.42 140.7267 162.5249 0.0102571439 +207247.44 128.3834 148.7106 0.00355021126 +211971.63 117.1462 136.1738 0.00259923066 +216737.41 106.4501 124.1992 0.00216240607 +221396.44 97.0013 113.5998 0.0026487733 +226023.50 88.2383 103.7365 0.00326266762 +230587.44 80.5658 95.0744 0.00202089089 +235123.58 73.3427 86.8984 0.00183956517 +239748.40 65.5242 78.0167 0.00275336158 +243468.42 62.4777 74.5537 0.00297001683 +246587.44 60.8586 72.6929 0.00183002732 diff --git a/calib_data/_calib_data/calib2024-12-09_p2_c1.dat b/calib_data/_calib_data/calib2024-12-09_p2_c1.dat new file mode 100644 index 0000000..47378aa --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p2_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68929.44 17525.06 445.7732 0.0110070886 +71533.61 13331.28 409.0457 0.00533863278 +73733.59 11426.75 389.2007 0.00457176115 +75931.64 9841.08 370.5847 0.00740682118 +78130.56 8572.12 353.8993 0.0101420412 +80323.50 7466.21 337.66 0.00972419662 +82522.59 6549.65 322.7234 0.00939489223 +84720.56 5780.02 308.8523 0.00532174783 +86972.49 5131.98 295.9845 0.00741248946 +89178.42 4559.583 283.6142 0.00940829421 +91383.51 4060.107 271.725 0.00790948797 +93604.52 3630.141 260.5775 0.00485231903 +95823.53 3253.593 249.9461 0.00640694935 +98048.42 2923.359 239.8273 0.00567987676 +100278.43 2627.971 230.0185 0.00771654068 +102551.61 2370.304 220.7704 0.00689666586 +104783.50 2150.086 212.244 0.00881362581 +107013.50 1957.239 204.2682 0.0093507219 +109240.60 1786.526 196.704 0.00820853215 +111468.45 1635.129 189.5712 0.00535686475 +113703.50 1502.035 182.947 0.00597327381 +115933.51 1378.678 176.3923 0.00632463438 +118164.52 1267.025 170.0542 0.0078112739 +120423.53 1165.578 164.0247 0.00651160502 +122688.42 1073.739 158.158 0.00200997512 +124960.59 990.953 152.6358 0.00257992248 +127271.61 912.104 147.0741 0.00274754436 +129581.65 842.083 141.8481 0.00317001577 +131901.63 776.299 136.6699 0.00208062491 +134263.48 718.03 131.832 0.00362215406 +136673.45 661.395 126.85 0.00202977831 +139153.51 609.356 122.0199 0.00254342289 +141690.60 561.837 117.3581 0.00335395289 +144283.49 518.502 112.864 0.00270554985 +146968.43 476.6404 108.3091 0.00195678307 +149747.44 438.2491 103.8639 0.0022558812 +152653.53 403.0998 99.58 0.00202484567 +156235.67 369.9805 95.3241 0.00178016853 +159640.57 340.2524 91.2984 0.00289551377 +163433.50 312.3058 87.3219 0.00270351623 +167371.57 286.5379 83.4662 0.00203862699 +171399.43 263.0458 79.771 0.00282842712 +175585.77 241.2186 76.1699 0.00268867997 +179893.63 220.9731 72.6624 0.00208901891 +184277.41 202.3362 69.2608 0.00179332094 +188803.63 185.3908 66.0166 0.00140854535 +193319.41 169.3127 62.7835 0.00260480326 +198031.63 154.2959 59.6202 0.00193804025 +202723.58 140.6751 56.5803 0.0031434058 +207363.60 128.3228 53.6963 0.00392950379 +212087.42 117.0955 50.9372 0.00269369635 +216853.61 106.4086 48.15557 0.000922176773 +221512.64 96.9604 45.60092 0.000669746221 +226138.46 88.2015 43.11612 0.000694377419 +230703.48 80.5342 40.84501 0.000591684037 +235239.46 73.3152 38.6116 0.000766681159 +239863.61 65.4984 36.08061 0.00112057574 +243583.62 62.4594 35.05735 0.000551225907 +246703.60 60.8456 34.50514 0.000837042412 diff --git a/calib_data/_calib_data/calib2024-12-09_p2_c2.dat b/calib_data/_calib_data/calib2024-12-09_p2_c2.dat new file mode 100644 index 0000000..3fe816d --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p2_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69020.60 17521.25 19160.66 1.10789891 +71624.49 13332.05 14677.53 0.357505245 +73824.51 11426.43 12631.2 0.350713558 +76022.63 9842.02 10919.31 0.467001071 +78221.60 8572.97 9543.79 0.445522166 +80413.49 7466.84 8338.31 0.264367169 +82613.51 6549.61 7334.11 0.163981706 +84811.63 5780.53 6487.82 0.346929388 +87063.53 5131.78 5772.01 0.256300605 +89268.43 4559.598 5138.77 0.262697545 +91474.63 4060.368 4581.305 0.0597871224 +93695.64 3630.175 4100.194 0.0810333265 +95914.53 3253.612 3677.499 0.0420820627 +98138.42 2923.292 3305.131 0.0813197393 +100368.44 2627.984 2970.798 0.0772761283 +102642.48 2370.386 2678.729 0.0668797428 +104873.50 2150.008 2428.024 0.093136459 +107103.50 1957.301 2208.067 0.0578108986 +109331.64 1786.584 2013.277 0.0709372963 +111558.41 1635.047 1839.948 0.115237147 +113793.50 1501.958 1688.346 0.0547941603 +116023.51 1378.767 1546.729 0.0355654327 +118255.68 1267.03 1418.746 0.0194010309 +120513.49 1165.555 1302.844 0.0286076913 +122778.42 1073.701 1197.969 0.0183002732 +125051.64 990.915 1103.826 0.0208901891 +127362.49 912.111 1014.368 0.035771497 +129672.61 842.061 935.174 0.0217807254 +131992.63 776.287 861.023 0.0207870152 +134353.52 718.108 795.756 0.0223696223 +136763.54 661.367 732.317 0.0222733024 +139243.50 609.327 674.354 0.0204058815 +141781.65 561.829 621.664 0.0147105404 +144374.49 518.522 573.834 0.0215034881 +147058.43 476.6181 528.01 0.0327108545 +149838.44 438.2225 485.6684 0.00703306477 +152744.49 403.066 447.2169 0.00790752806 +156326.47 369.9634 411.0866 0.00729273611 +159731.65 340.1975 378.6279 0.00523536054 +163523.51 312.2478 348.2181 0.00920809427 +167462.49 286.49 320.1982 0.00564588346 +171490.58 262.974 294.6344 0.00797144905 +175676.45 241.1594 270.881 0.00824378554 +179983.62 220.9215 248.8323 0.00954992147 +184368.45 202.2911 228.496 0.0104288063 +188894.63 185.3456 209.9918 0.00428205558 +193410.62 169.2719 192.3826 0.00399048869 +198122.63 154.2534 175.9845 0.00563071931 +202814.50 140.6339 161.006 0.00831865374 +207454.52 128.2881 147.3176 0.00230304147 +212178.43 117.0633 134.9077 0.00274244417 +216944.49 106.3799 123.0563 0.00273879536 +221603.47 96.9399 112.5483 0.0023283041 +226228.41 88.1772 102.7779 0.00301147804 +230794.64 80.5161 94.1925 0.00198116128 +235330.58 73.2989 86.0813 0.00339131243 +239954.49 65.483 77.2736 0.00340646444 +243674.63 62.443 73.8283 0.00220022726 +246793.64 60.831 72.0002 0.00232723011 diff --git a/calib_data/_calib_data/calib2024-12-09_p2_c4.dat b/calib_data/_calib_data/calib2024-12-09_p2_c4.dat new file mode 100644 index 0000000..9904da7 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p2_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69111.64 17522.11 9861.93 0.586182565 +71715.65 13331.76 7771.22 0.382047118 +73915.62 11426.3 6788.53 0.298345437 +76113.52 9840.3 5957.33 0.187643279 +78312.60 8572.26 5280.54 0.34473178 +80503.50 7466.49 4677.664 0.143862434 +82703.51 6550.33 4172.595 0.127978514 +84902.64 5780.82 3740.963 0.093520586 +87153.49 5132.31 3372.24 0.0529528092 +89358.41 4559.683 3042.403 0.0641880051 +91565.68 4060.427 2749.761 0.11051199 +93786.45 3630.169 2493.806 0.0336808551 +96005.61 3253.713 2266.833 0.0899227446 +98229.42 2923.285 2065.078 0.0714954544 +100458.44 2627.859 1881.941 0.0869994253 +102733.48 2370.278 1720.101 0.0485685083 +104963.50 2149.994 1579.488 0.0271219468 +107193.51 1957.334 1455.324 0.0406743162 +109422.64 1786.719 1344.2 0.0134907376 +111648.45 1635.149 1244.29 0.0230217289 +113883.50 1501.964 1155.932 0.0276694778 +116113.51 1378.807 1072.922 0.0238243573 +118346.44 1267.038 996.875 0.0368035324 +120603.49 1165.576 926.834 0.0106957936 +122868.42 1073.631 862.838 0.0154142791 +125142.63 990.873 804.578 0.0216240607 +127453.52 912.039 748.434 0.0188255146 +129763.50 842.003 697.959 0.0189446562 +132083.51 776.197 649.989 0.028193971 +134443.52 718.075 607.115 0.0360901649 +136853.49 661.307 564.678 0.0296243143 +139333.51 609.284 525.433 0.0234968083 +141872.64 561.804 488.9275 0.00636906587 +144465.65 518.484 455.3698 0.00801847866 +147148.42 476.6086 422.6897 0.00508340437 +149928.44 438.1829 392.2026 0.00868009217 +152835.65 403.0322 363.9594 0.00940446702 +156417.43 369.939 337.064 0.00517687164 +159822.61 340.1488 312.5609 0.00852812992 +163614.63 312.1894 289.3057 0.00986818119 +167553.52 286.431 267.6289 0.01097857 +171581.63 262.9144 247.6397 0.00728017857 +175767.40 241.1098 228.8628 0.00500159974 +180073.63 220.857 211.2895 0.00630277717 +184458.45 202.2376 194.9342 0.0102925216 +188985.63 185.3029 179.9113 0.00470329672 +193501.61 169.2214 165.5149 0.00538785672 +198213.64 154.2178 151.9436 0.00249879971 +202905.66 140.5998 139.5063 0.00259248915 +207545.68 128.2556 128.1234 0.00260844781 +212268.43 117.0334 117.6926 0.00252665787 +217035.69 106.3446 107.6666 0.00151129084 +221693.63 96.9118 98.7431 0.00163370744 +226318.41 88.1543 90.3949 0.00251575039 +230885.72 80.4994 83.0307 0.00234115356 +235421.63 73.2796 76.0459 0.00260940606 +240045.65 65.4661 68.4196 0.00206009709 +243765.66 62.4288 65.4323 0.00308236922 +246884.64 60.8183 63.8363 0.00217738375 diff --git a/calib_data/_calib_data/calib2024-12-09_p2_c5-original.dat b/calib_data/_calib_data/calib2024-12-09_p2_c5-original.dat new file mode 100644 index 0000000..3c4b561 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p2_c5-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69202.48 17520.84 10633.15 0.526735228 +71806.46 13330.02 8083.52 0.310096759 +74006.47 11426.05 6925.46 0.166853229 +76203.52 9839.43 5960.91 0.283001767 +78403.53 8571.91 5191.59 0.258244071 +80593.49 7466.2 4517.542 0.128769562 +82793.51 6550.42 3961.591 0.0623610455 +84993.52 5780.65 3493.4 0.118718154 +87244.49 5132.39 3099.171 0.104932836 +89448.43 4559.319 2750.915 0.0749833315 +91656.43 4060.32 2446.493 0.0738383369 +93877.44 3630.208 2184.32 0.0968710483 +96096.45 3253.654 1954.577 0.0774603124 +98320.59 2923.388 1752.902 0.0642464007 +100548.43 2627.921 1571.247 0.0265348827 +102823.48 2370.267 1413.818 0.0470914005 +105053.61 2150.083 1279.219 0.0165196852 +107283.51 1957.399 1161.542 0.0343744091 +109513.48 1786.809 1057.476 0.0198595065 +111738.45 1635.268 965.177 0.0334080829 +113973.50 1501.975 884.303 0.0214499417 +116203.63 1378.794 809.457 0.0254578082 +118437.44 1267.019 741.72 0.0225831796 +120693.54 1165.532 680.3 0.0132664992 +122958.43 1073.595 624.967 0.0300349796 +125233.51 990.807 575.29 0.0203469899 +127543.49 911.976 528.262 0.0197888858 +129853.50 841.986 454.9896 0.00988352164 +132173.51 776.218 418.8509 0.00955766708 +134533.52 718.077 387.4529 0.00920483569 +136943.49 661.304 356.2949 0.0088073265 +139424.51 609.28 328.1681 0.00730130125 +141964.48 561.787 302.6048 0.0113408994 +144556.45 518.425 279.4792 0.00749373071 +147238.42 476.5708 257.3655 0.00936509477 +150019.44 438.1419 237.0645 0.0109281746 +152926.45 402.9776 218.559 0.00681909085 +156508.43 369.8981 201.2538 0.0091834634 +159913.53 340.1029 185.6822 0.00700399886 +163705.67 312.1318 171.1044 0.0106632078 +167644.52 286.3659 157.8232 0.0161825832 +171672.63 262.8695 145.5398 0.0178077511 +175858.40 241.0612 134.1819 0.026371367 +180163.62 220.8055 123.7169 0.0193728934 +184548.41 202.1957 114.094 0.0173476223 +189076.32 185.2645 105.3134 0.0164737367 +193592.61 169.1779 96.9867 0.0100020498 +198304.64 154.1816 89.2345 0.0107081744 +202996.46 140.5638 170.3103 0.00487862686 +207636.44 128.2193 155.6827 0.00322815737 +212358.43 117.0038 142.4359 0.0022558812 +217126.49 106.3233 129.7808 0.00254086599 +221784.64 96.8887 118.5919 0.0028929224 +226409.42 88.1337 108.1973 0.00177792013 +230976.48 80.4793 99.0692 0.00277776889 +235512.63 73.2576 90.4551 0.00261705942 +240136.48 65.4556 81.1004 0.00320062494 +243856.43 62.4204 77.4605 0.00167481342 +246975.68 60.8054 75.5125 0.00263153947 diff --git a/calib_data/_calib_data/calib2024-12-09_p2_c5.dat b/calib_data/_calib_data/calib2024-12-09_p2_c5.dat new file mode 100644 index 0000000..d263d98 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p2_c5.dat @@ -0,0 +1,50 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69202.48 17520.84 10633.15 0.526735228 +71806.46 13330.02 8083.52 0.310096759 +74006.47 11426.05 6925.46 0.166853229 +76203.52 9839.43 5960.91 0.283001767 +78403.53 8571.91 5191.59 0.258244071 +80593.49 7466.2 4517.542 0.128769562 +82793.51 6550.42 3961.591 0.0623610455 +84993.52 5780.65 3493.4 0.118718154 +87244.49 5132.39 3099.171 0.104932836 +89448.43 4559.319 2750.915 0.0749833315 +91656.43 4060.32 2446.493 0.0738383369 +93877.44 3630.208 2184.32 0.0968710483 +96096.45 3253.654 1954.577 0.0774603124 +98320.59 2923.388 1752.902 0.0642464007 +100548.43 2627.921 1571.247 0.0265348827 +102823.48 2370.267 1413.818 0.0470914005 +105053.61 2150.083 1279.219 0.0165196852 +107283.51 1957.399 1161.542 0.0343744091 +109513.48 1786.809 1057.476 0.0198595065 +111738.45 1635.268 965.177 0.0334080829 +113973.50 1501.975 884.303 0.0214499417 +116203.63 1378.794 809.457 0.0254578082 +118437.44 1267.019 741.72 0.0225831796 +120693.54 1165.532 680.3 0.0132664992 +122958.43 1073.595 624.967 0.0300349796 +125233.51 990.807 575.29 0.0203469899 +127543.49 911.976 528.262 0.0197888858 +129853.50 841.986 454.9896 0.00988352164 +132173.51 776.218 418.8509 0.00955766708 +134533.52 718.077 387.4529 0.00920483569 +136943.49 661.304 356.2949 0.0088073265 +139424.51 609.28 328.1681 0.00730130125 +141964.48 561.787 302.6048 0.0113408994 +144556.45 518.425 279.4792 0.00749373071 +147238.42 476.5708 257.3655 0.00936509477 +150019.44 438.1419 237.0645 0.0109281746 +152926.45 402.9776 218.559 0.00681909085 +156508.43 369.8981 201.2538 0.0091834634 +159913.53 340.1029 185.6822 0.00700399886 +163705.67 312.1318 171.1044 0.0106632078 +167644.52 286.3659 157.8232 0.0161825832 +171672.63 262.8695 145.5398 0.0178077511 +175858.40 241.0612 134.1819 0.026371367 +180163.62 220.8055 123.7169 0.0193728934 +184548.41 202.1957 114.094 0.0173476223 +189076.32 185.2645 105.3134 0.0164737367 +193592.61 169.1779 96.9867 0.0100020498 +198304.64 154.1816 89.2345 0.0107081744 diff --git a/calib_data/_calib_data/calib2024-12-09_p2_c6.dat b/calib_data/_calib_data/calib2024-12-09_p2_c6.dat new file mode 100644 index 0000000..27770b1 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-09_p2_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69292.65 17520.29 19656.56 1.61593317 +71897.46 13329.87 15036.57 0.669186073 +74097.42 11426.25 12928.12 0.581515262 +76293.52 9840.18 11168.27 0.419297031 +78494.45 8573.23 9752.8 0.343220046 +80684.62 7466.19 8516.22 0.211092397 +82883.51 6549.74 7486.92 0.43099884 +85083.52 5780.36 6618.22 0.261074702 +87335.65 5131.58 5883.34 0.261610397 +89538.42 4559.213 5236.26 0.321309819 +91747.43 4060.127 4665.133 0.0629769799 +93968.44 3630.423 4173.45 0.0942974019 +96187.45 3253.643 3741.222 0.0939127254 +98411.63 2923.485 3361.152 0.0749639914 +100638.44 2627.989 3019.719 0.0639914057 +102913.49 2370.398 2721.683 0.0771368913 +105144.50 2150.018 2466.107 0.0854640275 +107373.47 1957.414 2241.697 0.0867415702 +109603.53 1786.751 2043.307 0.0685718601 +111829.41 1635.056 1866.836 0.0776942726 +114063.50 1501.934 1712.345 0.0871349528 +116294.51 1378.789 1568.2 0.0186547581 +118528.45 1267.018 1438.186 0.0256593063 +120783.50 1165.509 1320.18 0.0175499288 +123048.43 1073.589 1213.639 0.0144533733 +125323.52 990.824 1117.998 0.0338171554 +127633.52 911.964 1027.029 0.0181356003 +129943.62 842.012 946.656 0.025502941 +132264.51 776.234 871.367 0.0188706121 +134623.52 718 805.082 0.0258379566 +137033.50 661.287 740.723 0.0231969826 +139515.66 609.265 682.061 0.0216540989 +142055.67 561.725 628.651 0.0201221271 +144647.43 518.364 580.08 0.025019992 +147328.42 476.5293 533.61 0.0296984848 +150110.60 438.118 490.7403 0.00600341569 +153017.46 402.9544 451.7664 0.00374753252 +156598.44 369.8725 415.2328 0.00823747534 +160004.44 340.041 382.3106 0.00523870213 +163796.51 312.0853 351.5203 0.00479802043 +167735.68 286.3194 323.1536 0.00533704038 +171763.50 262.8298 297.2937 0.00674247729 +175948.44 241.014 273.2693 0.0045366287 +180253.63 220.7646 250.9722 0.00966933297 +184638.45 202.1557 230.4428 0.00643397233 +189167.43 185.2231 211.7332 0.00939659513 +193683.62 169.132 193.9639 0.00754645612 +198395.68 154.1378 177.418 0.00965608616 +203087.42 140.5262 162.2946 0.0111276233 +207727.44 128.1874 148.4948 0.00168997041 +212448.42 116.9793 135.9838 0.00277416654 +217217.41 106.2979 124.034 0.00227596134 +221875.76 96.8696 113.4435 0.00258166613 +226500.57 88.1116 103.6004 0.00257371327 +231067.44 80.4593 94.9558 0.00249719843 +235603.62 73.2411 86.7912 0.00191728975 +240227.45 65.4404 77.922 0.00291204396 +243947.43 62.41 74.4634 0.00242569578 +247066.48 60.7938 72.6212 0.00120664825 diff --git a/calib_data/_calib_data/calib2024-12-12_p0_c1.dat b/calib_data/_calib_data/calib2024-12-12_p0_c1.dat new file mode 100644 index 0000000..979ca32 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p0_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54468.44 18348.03 19541.71 1.97420617 +56769.42 16020.73 17117.19 1.2763581 +59268.42 13213.81 14173.96 0.980938326 +61487.43 11227.85 12080.16 0.953016264 +63703.61 9601.96 10359.71 1.07354087 +65951.62 8289.88 8963.98 0.31394267 +68227.43 7147.01 7743 0.247386338 +70500.56 6221.25 6750.03 0.224521714 +72802.61 5442.66 5910.67 0.250619233 +75174.63 4790.663 5207.84 0.301396748 +77615.67 4219.835 4585.926 0.0572573139 +80048.41 3752.418 4076.745 0.0559687413 +82443.61 3362.297 3650.303 0.0747402168 +84798.43 3030.269 3286.006 0.0768400937 +87105.75 2744.021 2971.42 0.0721664742 +89380.61 2491.94 2693.912 0.049614514 +91652.58 2268.612 2447.382 0.0697538529 +93908.43 2071.218 2229.076 0.072113799 +96148.44 1895.284 2034.654 0.0640499805 +98378.41 1737.981 1860.194 0.0376881944 +100619.43 1596.13 1703.038 0.0889696577 +102886.43 1469.408 1563.049 0.0305434117 +105139.44 1351.237 1432.466 0.0175042852 +107388.45 1243.531 1313.685 0.0282577423 +109649.42 1146.503 1206.868 0.0205329004 +111917.44 1058.338 1110.289 0.0128413395 +114192.61 978.811 1023.415 0.0270277635 +116501.57 902.55 940.417 0.0158776573 +118811.56 834.4 866.618 0.0173666347 +121215.68 770.001 797.424 0.0219180291 +123594.61 712.759 736.111 0.021234406 +126048.42 657.069 676.867 0.030101495 +128618.43 605.75 622.609 0.027944588 +131160.56 558.977 573.481 0.0165801086 +134295.75 516.144 528.743 0.0251017928 +137020.60 474.8701 485.8708 0.00813363387 +139845.73 436.9099 446.6131 0.0086214268 +142792.58 402.0399 410.798 0.00828371897 +145917.44 369.774 377.7704 0.00785264287 +149351.57 340.116 347.558 0.0113022122 +153228.44 312.3999 319.3999 0.00855739446 +157251.58 287.0246 293.7097 0.00501208539 +161427.43 263.6528 270.0929 0.012714126 +165690.57 242.0287 248.2675 0.00802402642 +170137.40 221.7867 227.8743 0.00512845006 +174670.58 203.1598 209.1524 0.00785518937 +179287.43 186.2421 192.1288 0.0109825316 +183997.42 170.1195 175.9025 0.00822830481 +188726.44 155.1972 160.9649 0.00831438512 +193534.50 141.487 147.1067 0.00351297595 +198287.45 129.0991 134.6335 0.00497443464 +203033.50 117.8472 123.2951 0.00297808663 +207839.42 107.0928 112.4556 0.00295025423 +212554.51 97.6025 102.874 0.00412795349 +217269.45 88.7678 93.9597 0.00360568995 +221890.59 81.0637 86.159 0.00323109888 +226505.65 73.7778 78.7859 0.00303792692 +231247.44 65.9047 70.785 0.00296984848 +234997.46 62.836 67.6606 0.00401795968 +238165.75 61.1811 65.9781 0.00219749858 diff --git a/calib_data/_calib_data/calib2024-12-12_p0_c2.dat b/calib_data/_calib_data/calib2024-12-12_p0_c2.dat new file mode 100644 index 0000000..0d24342 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p0_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54558.44 18346.94 20298.94 2.28649076 +56860.57 16016.51 17786.13 1.56454786 +59358.43 13211.87 14733.48 1.46777382 +61578.44 11226.83 12565.19 1.30003461 +63794.49 9601.97 10782.3 1.19899958 +66042.62 8290.13 9339.99 0.29238673 +68318.43 7146.12 8073.32 0.192769292 +70591.64 6220.85 7044.66 0.128218563 +72893.57 5441.65 6174.89 0.306740933 +75265.74 4789.847 5445.77 0.321263132 +77706.47 4219.575 4801.996 0.0694146959 +80138.45 3752.076 4273.319 0.100094455 +82534.62 3362.088 3830.701 0.0541377872 +84888.43 3029.934 3452.433 0.0661369791 +87196.44 2743.695 3125.444 0.0869620607 +89471.57 2491.683 2836.905 0.0684434073 +91743.58 2268.353 2580.734 0.0690101442 +93998.43 2070.906 2353.531 0.0735452242 +96238.44 1895.216 2151.093 0.0524223235 +98468.42 1737.678 1969.159 0.066294042 +100710.55 1595.797 1805.383 0.0653766013 +102977.44 1469.169 1659.968 0.0437675679 +105230.60 1351.058 1522.829 0.0287906235 +107478.42 1243.375 1398.573 0.0194447936 +109740.59 1146.293 1286.898 0.02252998 +112008.43 1058.187 1185.664 0.0244622158 +114283.61 978.652 1094.516 0.0199599599 +116592.57 902.421 1007.349 0.0280517379 +118902.58 834.257 929.821 0.0236833275 +121306.44 769.897 856.916 0.0176181724 +123703.57 712.618 792.239 0.0301147804 +126142.55 656.893 729.53 0.0241660919 +128708.44 605.63 672.212 0.0192249837 +131251.61 558.846 620.032 0.0229259678 +134386.46 516.074 572.525 0.0259711378 +137111.60 474.7847 527.078 0.028628657 +139936.45 436.8153 485.0718 0.00641217592 +142883.63 401.947 446.7592 0.00854494002 +146008.44 369.6755 411.3841 0.00856557062 +149442.62 339.9784 378.913 0.010633908 +153318.43 312.2623 348.6489 0.0130778056 +157342.49 286.8863 320.9444 0.0104644159 +161518.43 263.5279 295.4484 0.00904676738 +165781.61 241.9209 271.8473 0.0119390536 +170228.44 221.6751 249.7335 0.00448831817 +174761.61 203.0483 229.3881 0.00628243583 +179378.43 186.1499 210.8661 0.00927626002 +184088.42 170.0412 193.196 0.0103014562 +188817.44 155.1072 176.8738 0.0118935277 +193625.66 141.4124 161.7902 0.0124312509 +198378.44 129.0285 148.064 0.00331360831 +203123.62 117.7845 135.6312 0.00442899537 +207930.56 107.0342 123.709 0.00219089023 +212645.63 97.5485 113.166 0.00270924344 +217360.61 88.7244 103.3319 0.00297136332 +221981.64 81.0213 94.7206 0.00297052184 +226596.45 73.7403 86.557 0.00232379001 +231338.44 65.8692 77.6994 0.00328390012 +235088.41 62.8027 74.2436 0.00255812431 +238256.47 61.1498 72.3764 0.00232894826 diff --git a/calib_data/_calib_data/calib2024-12-12_p0_c4.dat b/calib_data/_calib_data/calib2024-12-12_p0_c4.dat new file mode 100644 index 0000000..b754bb2 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p0_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54648.44 18347.44 10735.44 0.900466546 +56951.58 16015.19 9530.27 0.5122597 +59448.43 13208.68 8043.85 0.521008637 +61668.44 11228.18 6966.3 0.433820239 +63885.65 9601 6069.41 0.604061255 +66133.62 8289.11 5334.52 0.306528955 +68408.43 7145.86 4679.489 0.0833360666 +70682.48 6220.58 4142.415 0.100630512 +72984.62 5441.29 3682.756 0.0655164102 +75356.46 4789.645 3293.657 0.0812163777 +77797.43 4219.187 2946.53 0.0550999093 +80228.45 3751.525 2657.94 0.0670074623 +82625.66 3361.764 2413.829 0.0437138422 +84978.43 3029.432 2202.872 0.0530622276 +87287.44 2743.389 2018.96 0.0677642974 +89562.57 2491.23 1855.196 0.0692560467 +91833.54 2268.074 1708.548 0.0355752723 +94088.43 2070.926 1576.781 0.0295110149 +96328.45 1895.277 1458.796 0.0249078301 +98558.41 1737.516 1351.841 0.0357057418 +100801.62 1595.695 1254.489 0.0260173019 +103068.43 1469.024 1167.21 0.0167928556 +105321.60 1350.816 1084.433 0.0160031247 +107568.42 1243.235 1008.337 0.0197509493 +109831.58 1146.123 938.997 0.0182784026 +112098.44 1058.053 875.333 0.0183330303 +114374.49 978.539 817.368 0.0171930218 +116683.62 902.236 761.102 0.0211565593 +118993.63 834.092 710.361 0.034159918 +121397.44 769.763 661.87 0.0364417343 +123793.61 712.516 618.237 0.028286039 +126233.62 656.776 575.301 0.0241018671 +128798.43 605.491 535.309 0.0182455474 +131342.57 558.795 498.3337 0.00692538808 +134477.42 515.996 464.1535 0.0097316494 +137202.48 474.6948 430.9307 0.00920440112 +140027.45 436.7268 399.9142 0.00720527584 +142974.66 401.8672 371.091 0.00773045924 +146098.44 369.5752 344.1034 0.00862461593 +149533.62 339.8515 318.9847 0.00578454838 +153408.44 312.1263 295.3115 0.00764493296 +157432.50 286.7713 273.4021 0.00587783974 +161608.43 263.4242 253.0249 0.00837669386 +165872.62 241.8028 233.948 0.0113973681 +170318.44 221.573 215.9613 0.00506566876 +174852.62 202.9488 199.2403 0.00866954439 +179468.44 186.0664 183.8891 0.0102629918 +184178.42 169.9531 169.1323 0.00879664709 +188908.44 155.0311 155.3388 0.00343161769 +193716.46 141.3421 142.5615 0.00198620241 +198468.45 128.9657 130.9023 0.00366073763 +203214.50 117.7228 120.2248 0.00367096718 +208021.61 106.9794 109.9389 0.00341306314 +212736.42 97.4974 100.7867 0.00270573465 +217451.61 88.6784 92.2132 0.00209666402 +222072.63 80.9767 84.6673 0.00358343411 +226687.41 73.7022 77.4891 0.00247971773 +231428.44 65.8342 69.6631 0.00222013513 +235178.41 62.7694 66.5935 0.00294023809 +238347.42 61.1237 64.937 0.00167928556 diff --git a/calib_data/_calib_data/calib2024-12-12_p0_c5.dat b/calib_data/_calib_data/calib2024-12-12_p0_c5.dat new file mode 100644 index 0000000..95f0afd --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p0_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54738.45 18353.22 23133.47 1.15629149 +57042.62 16012.25 20188.7 2.39415956 +59538.43 13206.62 16650.07 1.85688179 +61758.44 11227.44 14140.16 1.40293977 +63976.45 9599.21 12087.5 1.6810116 +66224.58 8288.14 10430.94 0.486456576 +68498.43 7146.1 8983.56 0.26046113 +70774.48 6220.62 7813.39 0.203690942 +73075.73 5440.68 6826.11 0.250778787 +75447.42 4789.472 6002.54 0.228997817 +77888.43 4218.864 5279.13 0.360846228 +80319.40 3751.233 4682.948 0.0688302259 +82716.46 3361.499 4187.832 0.0818144242 +85068.43 3029.103 3765.593 0.0683527615 +87378.44 2743.008 3401.642 0.0692502708 +89653.57 2491.04 3080.969 0.0819322891 +91923.58 2267.787 2796.961 0.0548898898 +94178.44 2070.869 2546.07 0.0483321839 +96418.44 1895.05 2322.886 0.0768010417 +98648.46 1737.482 2122.763 0.0636089616 +100892.66 1595.572 1942.623 0.056745925 +103158.43 1468.903 1782.999 0.100353874 +105412.60 1350.654 1633.664 0.0996915242 +107658.41 1243.139 1497.541 0.0231711027 +109922.59 1146.067 1375.621 0.0134499071 +112188.44 1057.916 1265.422 0.0207267943 +114465.61 978.448 1166.467 0.0227618101 +116774.62 902.133 1071.939 0.0149966663 +119083.63 834.009 988.034 0.0251077677 +121488.45 769.688 909.216 0.0196570598 +123884.58 712.437 839.446 0.0195550505 +126323.63 656.672 771.949 0.0292728543 +128888.44 605.43 710.263 0.0267600448 +131433.61 558.758 654.39 0.0256515107 +134568.42 515.923 603.472 0.024240462 +137292.60 474.6119 554.798 0.0196875595 +140118.45 436.6173 510.089 0.0302473139 +143065.74 401.7946 469.047 0.00611555394 +146188.45 369.4865 431.3173 0.00867991935 +149624.65 339.7403 396.7116 0.0107890685 +153498.43 312.008 364.5493 0.00735669763 +157523.61 286.6485 335.1506 0.00928891813 +161698.44 263.3168 308.1866 0.0096158203 +165963.61 241.6745 283.1943 0.0102157232 +170408.43 221.4674 259.8751 0.00697775035 +174943.50 202.8716 238.4321 0.00711540582 +179558.44 185.9823 218.9394 0.0124781409 +184268.41 169.8697 200.364 0.00943716059 +188998.44 154.9598 183.2225 0.0128446487 +193807.42 141.2743 167.3963 0.0083881464 +198559.44 128.9052 153.0177 0.00305957513 +203305.62 117.6644 140.0043 0.00340602408 +208112.49 106.9295 127.5502 0.00337283264 +212827.43 97.4515 116.5475 0.00304055916 +217542.61 88.6344 106.2887 0.00346713138 +222163.52 80.9413 97.3197 0.00136418474 +226778.39 73.6737 88.8341 0.00332701067 +231518.43 65.8079 79.625 0.00162480768 +235268.42 62.7437 76.0459 0.00398610085 +238438.43 61.0999 74.1024 0.00417660149 diff --git a/calib_data/_calib_data/calib2024-12-12_p0_c6.dat b/calib_data/_calib_data/calib2024-12-12_p0_c6.dat new file mode 100644 index 0000000..2acbb96 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p0_c6.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54828.44 18354.2 10504.74 0.62260742 +57133.61 16007.93 9363.25 1.32538674 +59628.43 13206.8 7960.81 0.778132379 +61849.44 11222.83 6939.85 0.449499722 +64067.41 9599.98 6079.73 0.421912313 +66315.70 8288.09 5367.63 0.349871405 +68588.43 7145.93 4730.241 0.108861839 +70865.69 6220.3 4202.127 0.0979801 +73166.45 5440.8 3747.293 0.0942448938 +75538.43 4789.153 3359.29 0.0733757453 +77978.41 4218.691 3011.45 0.0842733647 +80410.61 3750.814 2719.929 0.0582829306 +82807.42 3361.342 2472.757 0.101351369 +85158.43 3028.915 2258.147 0.0655293827 +87468.44 2742.626 2070.142 0.0751638211 +89743.57 2490.978 1902.191 0.0765826351 +92013.59 2267.768 1750.835 0.0533338542 +94268.43 2070.407 1615.301 0.0660371108 +96508.44 1894.778 1492.24 0.0259229628 +98739.41 1737.459 1381.171 0.0290671636 +100983.50 1595.459 1279.822 0.0472398137 +103249.44 1468.8 1188.724 0.0216887067 +105503.49 1350.563 1102.369 0.0179694185 +107748.41 1242.959 1022.892 0.0294210809 +110013.63 1145.999 950.624 0.0160124951 +112278.44 1057.796 884.376 0.0300399734 +114556.45 978.34 824.079 0.0254342289 +116865.74 902.047 765.821 0.0161523992 +119173.63 833.924 713.374 0.0277200289 +121578.45 769.588 663.453 0.0154951605 +123975.78 712.326 618.818 0.0130230565 +126413.63 656.573 574.946 0.020307634 +128978.44 605.374 534.41 0.0271661554 +131524.65 558.673 497.039 0.0061367744 +134658.42 515.873 462.6929 0.0111062595 +137383.64 474.545 429.4353 0.0080000625 +140209.42 436.527 398.4623 0.00836187778 +143156.46 401.7313 369.9268 0.0100317496 +146278.44 369.4088 343.1652 0.00564233994 +149715.74 339.6288 318.3396 0.00417420651 +153588.43 311.9105 295.0225 0.00795267251 +157614.65 286.5456 273.4871 0.00797176267 +161788.43 263.2188 253.4981 0.00652449232 +166054.65 241.5606 234.7708 0.00830397495 +170498.43 221.3652 217.098 0.00858836422 +175033.50 202.7909 200.6804 0.00925548486 +179648.44 185.898 185.5952 0.0091485518 +184358.41 169.7917 171.0673 0.00705556518 +189088.44 154.8913 157.4589 0.00357896633 +193898.42 141.2136 144.8319 0.00412662089 +198650.56 128.8403 133.2778 0.00208230641 +203396.42 117.6122 122.6816 0.00313751494 +208203.49 106.8795 112.4479 0.00292728543 +212918.42 97.4062 103.3134 0.00267656496 +217633.54 88.5938 94.7378 0.00292164337 +222253.51 80.9081 87.1796 0.00250679078 +226868.46 73.6433 79.9625 0.00161400124 +231608.43 65.7825 72.0857 0.00257701378 +235358.41 62.722 68.9913 0.0030101495 +238528.43 61.0767 67.3257 0.00280017857 diff --git a/calib_data/_calib_data/calib2024-12-12_p1_c1.dat b/calib_data/_calib_data/calib2024-12-12_p1_c1.dat new file mode 100644 index 0000000..a5f13fb --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p1_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54943.48 18351.45 19545.33 1.93153048 +57249.42 16004.04 17107.16 1.94176209 +59743.64 13205.89 14159.03 1.17184043 +61965.68 11220.16 12075.85 0.994308805 +64183.61 9600.89 10357.04 1.28873581 +66431.62 8287.88 8962.06 0.339764624 +68703.59 7144.6 7741.27 0.24861617 +70981.64 6219.11 6747.97 0.202014851 +73282.57 5439.48 5908.19 0.251575039 +75653.63 4788.884 5205.75 0.295719462 +78093.63 4218.652 4584.972 0.0662238628 +80526.41 3750.76 4074.979 0.0691006512 +82923.63 3360.946 3648.681 0.061570285 +85273.59 3028.846 3284.523 0.101578049 +87583.61 2742.71 2970.095 0.0637220527 +89859.45 2490.709 2692.472 0.0901975609 +92128.42 2267.579 2445.923 0.0657274676 +94383.59 2070.201 2227.934 0.063924956 +96623.92 1894.421 2033.369 0.0784786595 +98855.65 1737.166 1859.243 0.0680595328 +101098.42 1595.218 1702.18 0.0674981481 +103365.71 1468.704 1562.145 0.0223718573 +105618.40 1350.508 1431.566 0.0293666477 +107863.62 1242.77 1312.843 0.0213564978 +110129.43 1145.804 1206.154 0.0184499322 +112393.65 1057.695 1109.591 0.03103063 +114672.61 978.22 1022.714 0.0213166602 +116981.58 901.882 939.821 0.0240603408 +119289.43 833.849 866.103 0.0137876757 +121693.60 769.485 796.828 0.0232723011 +124091.53 712.237 735.573 0.0218197159 +126537.70 656.471 676.286 0.0198595065 +129093.60 605.301 622.141 0.0197711912 +131640.57 558.529 573.021 0.023767625 +134773.63 515.778 528.321 0.0292728543 +137499.43 474.4704 485.4299 0.00525823164 +140325.73 436.4748 446.1784 0.00543911758 +143272.59 401.6475 410.3882 0.00599966666 +146393.64 369.3175 377.311 0.00791580697 +149831.58 339.5085 346.9393 0.00819640165 +153703.64 311.7886 318.7668 0.00956953499 +157730.58 286.4063 293.0784 0.00530320658 +161904.63 263.0848 269.515 0.01 +166170.57 241.4513 247.6981 0.00515839122 +170614.67 221.2564 227.3554 0.00449488598 +175148.42 202.6773 208.6587 0.00778337973 +179763.52 185.8008 191.6867 0.00832111771 +184473.49 169.7086 175.4916 0.00516759132 +189203.48 154.8031 160.5692 0.0104343663 +194013.51 141.1395 146.7511 0.00267001873 +198766.44 128.7681 134.2933 0.00276423588 +203512.62 117.5445 122.9872 0.00332505639 +208318.45 106.8236 112.1796 0.00235881326 +213033.51 97.3513 102.6234 0.00314388295 +217748.41 88.548 93.7389 0.00214219514 +222368.43 80.8605 85.956 0.00300998339 +226983.50 73.6024 78.6051 0.00230412673 +231724.52 65.744 70.6288 0.00250918313 +235473.49 62.6855 67.5209 0.00272928562 +238643.51 61.0508 65.8466 0.00265781865 diff --git a/calib_data/_calib_data/calib2024-12-12_p1_c2.dat b/calib_data/_calib_data/calib2024-12-12_p1_c2.dat new file mode 100644 index 0000000..08714b7 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p1_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55033.57 18351.94 20301.35 1.95791981 +57340.58 16005.95 17766.05 2.44181285 +59834.63 13201.07 14717.45 1.51916095 +62056.48 11219.87 12558.53 1.12597069 +64274.61 9600.79 10781.46 1.36720152 +66522.62 8288.62 9337.28 0.28135387 +68794.63 7145.11 8073.04 0.215034881 +71072.49 6218.99 7042.46 0.263134946 +73373.61 5439.56 6173 0.225831796 +75744.59 4788.724 5445.14 0.267282622 +78184.63 4218.417 4800.803 0.083582893 +80617.45 3750.609 4271.673 0.0800381159 +83014.62 3360.862 3829.41 0.0883742044 +85363.63 3028.853 3451.306 0.081292066 +87674.60 2742.598 3124.271 0.0839696374 +89950.57 2490.689 2835.791 0.0745312015 +92218.42 2267.402 2579.564 0.0565720779 +94473.60 2070.122 2352.421 0.0775299942 +96714.64 1894.337 2150.117 0.0860935538 +98946.46 1736.996 1968.36 0.0501796772 +101188.42 1595.192 1804.763 0.0764467135 +103456.48 1468.616 1659.364 0.0740702369 +105708.45 1350.378 1522.071 0.0245540221 +107954.65 1242.712 1397.953 0.0230672929 +110220.59 1145.723 1286.245 0.0267301328 +112484.48 1057.627 1185.025 0.0288530761 +114763.49 978.11 1093.917 0.0205450724 +117072.58 901.882 1006.807 0.0298680431 +119380.59 833.77 929.305 0.0357561184 +121784.60 769.448 856.334 0.0237991596 +124182.54 712.174 791.715 0.0341247711 +126645.75 656.442 729.037 0.0222733024 +129183.59 605.262 671.744 0.0160124951 +131731.57 558.455 619.66 0.0177763888 +134864.67 515.685 572.147 0.0213096222 +137590.60 474.4054 526.695 0.0276857364 +140416.45 436.4085 484.6341 0.00777103597 +143363.63 401.6093 446.3994 0.0100818649 +146484.68 369.2612 410.9522 0.00610213078 +149922.61 339.4191 378.3076 0.00751159104 +153794.47 311.6983 348.0262 0.00609885235 +157821.54 286.323 320.3253 0.00736077442 +161995.80 262.9926 294.8782 0.00638717465 +166261.58 241.3695 271.2608 0.00598965775 +170705.80 221.1753 249.2046 0.00788187795 +175238.42 202.6036 228.8833 0.00730759878 +179854.52 185.7317 210.4162 0.00759973684 +184563.62 169.6454 192.7559 0.00883227038 +189293.52 154.731 176.4724 0.0133844686 +194103.50 141.0804 161.4261 0.0107335455 +198857.45 128.7166 147.7217 0.0019851952 +203603.50 117.4946 135.3115 0.0021691012 +208408.45 106.7832 123.4324 0.0025698249 +213124.60 97.315 112.9071 0.00186788651 +217838.41 88.5155 103.0995 0.00283284309 +222458.43 80.8342 94.511 0.00251396102 +227073.49 73.575 86.375 0.00262297541 +231815.68 65.7228 77.5388 0.0016358484 +235563.50 62.6639 74.0907 0.00289844786 +238733.51 61.033 72.2361 0.00299148792 diff --git a/calib_data/_calib_data/calib2024-12-12_p1_c4.dat b/calib_data/_calib_data/calib2024-12-12_p1_c4.dat new file mode 100644 index 0000000..27ee5e1 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p1_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55124.61 18351.29 10735.5 0.774467559 +57431.58 16001.43 9519.93 0.576203089 +59925.63 13196.58 8036.96 0.437995434 +62147.44 11218.31 6963.49 0.645360364 +64365.65 9596.93 6069.63 0.391675886 +66613.62 8287.62 5333.33 0.18817545 +68885.67 7145.2 4679.151 0.0909884608 +71163.48 6219.65 4141.747 0.127122382 +73464.62 5440.09 3682.144 0.0939595658 +75835.66 4788.662 3292.958 0.0750306604 +78275.64 4218.206 2945.941 0.058965244 +80708.41 3750.275 2657.236 0.0662449998 +83105.78 3360.765 2413.221 0.0811473968 +85454.63 3028.543 2202.465 0.0792496057 +87765.68 2742.556 2018.474 0.0674566527 +90041.57 2490.429 1854.986 0.0750759615 +92308.42 2267.249 1708.042 0.0962579867 +94563.55 2069.962 1576.265 0.025029982 +96805.68 1894.475 1458.258 0.0361330873 +99037.43 1737.012 1351.428 0.0214848784 +101279.43 1595.171 1254.103 0.0269091063 +103547.43 1468.521 1166.855 0.0231624696 +105798.41 1350.234 1083.979 0.0229543024 +108045.78 1242.705 1007.988 0.031931176 +110311.59 1145.655 938.596 0.0224142812 +112575.80 1057.581 874.998 0.0224410338 +114853.61 978.047 817.001 0.0191023559 +117163.62 901.782 760.767 0.0233687826 +119471.59 833.718 710.043 0.0291221565 +121875.69 769.38 661.587 0.0164347193 +124273.62 712.124 617.954 0.0144360659 +126736.43 656.336 574.936 0.02691468 +129274.64 605.138 535.076 0.022680388 +131822.61 558.45 498.037 0.00870861642 +134955.75 515.619 463.8849 0.00730814614 +137681.60 474.3361 430.6701 0.00855154957 +140507.45 436.3506 399.5999 0.00751724684 +143454.67 401.5633 370.8361 0.00623931086 +146575.76 369.1947 343.7829 0.00809376303 +150013.61 339.3447 318.5422 0.00753763889 +153885.75 311.6125 294.8444 0.00798398397 +157912.58 286.2438 272.9359 0.0102307869 +162086.44 262.9022 252.5937 0.00776665951 +166352.61 241.2806 233.5074 0.00667263067 +170796.48 221.1118 215.5618 0.00536246212 +175328.42 202.538 198.8421 0.00678888798 +179945.64 185.6546 183.5357 0.00853703696 +184654.50 169.5724 168.8025 0.0073256399 +189383.52 154.6759 155.0158 0.0031931176 +194193.51 141.0301 142.262 0.00275317998 +198948.41 128.6689 130.6199 0.00202706685 +203693.50 117.4505 119.9659 0.00226030971 +208499.45 106.738 109.7074 0.00243803199 +213215.68 97.2769 100.5739 0.00250379712 +217928.45 88.4839 92.0193 0.00213096222 +222548.43 80.8068 84.4959 0.00280873637 +227163.50 73.5501 77.3359 0.00268867997 +231906.44 65.6988 69.5244 0.00171580885 +235653.49 62.6434 66.4718 0.00283830936 +238823.63 61.0187 64.8276 0.00192457788 diff --git a/calib_data/_calib_data/calib2024-12-12_p1_c5.dat b/calib_data/_calib_data/calib2024-12-12_p1_c5.dat new file mode 100644 index 0000000..6b7a9de --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p1_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55215.64 18351.36 23138.41 2.2650585 +57522.62 15997.56 20176.32 1.6853961 +60016.43 13195.62 16633.4 1.19239255 +62238.44 11218.31 14131.2 1.00468901 +64456.41 9593.99 12082.51 1.54527991 +66704.59 8287.48 10427.82 0.52721912 +68976.44 7144.31 8981.84 0.101192885 +71253.48 6219.78 7811.49 0.227793766 +73555.66 5440.13 6824.33 0.219111844 +75926.43 4788.891 6002.24 0.201593651 +78366.48 4218.315 5278.53 0.236664319 +80798.45 3749.97 4681.717 0.0647000773 +83196.42 3360.806 4187.144 0.0641435889 +85545.67 3028.421 3764.751 0.0590330416 +87856.45 2742.461 3400.568 0.103564473 +90132.61 2490.264 3080.196 0.0816725168 +92398.43 2267.163 2796.095 0.0656848537 +94653.60 2070.058 2545.425 0.101284253 +96896.44 1894.488 2321.862 0.0610376933 +99128.41 1736.888 2122.044 0.0437309959 +101370.59 1594.984 1941.929 0.100989603 +103638.44 1468.423 1782.428 0.119589297 +105888.44 1350.12 1633.202 0.0528734338 +108136.45 1242.695 1496.965 0.0319765539 +110402.59 1145.581 1375.075 0.0281868764 +112666.44 1057.543 1264.877 0.0151029798 +114944.65 978.032 1166.007 0.0235393288 +117254.66 901.717 1071.455 0.0272855273 +119607.43 833.627 987.592 0.0219909072 +121966.44 769.281 908.738 0.0200897984 +124364.65 712.069 839.015 0.0221020361 +126827.42 656.234 771.479 0.0196697738 +129365.63 605.09 709.86 0.02310844 +131913.61 558.428 653.992 0.0159248234 +135046.47 515.592 603.036 0.0192457788 +137772.60 474.2923 554.473 0.0270942798 +140598.42 436.288 509.693 0.0310821492 +143545.74 401.5134 468.7256 0.00555013513 +146666.44 369.1438 430.9235 0.00843237808 +150104.66 339.2632 396.1673 0.00729115903 +153976.47 311.533 363.9717 0.00912365059 +158003.61 286.1688 334.604 0.00578446195 +162177.43 262.8182 307.6327 0.00864528773 +166443.62 241.1925 282.6592 0.0103680278 +170887.44 221.0299 259.3766 0.0113059276 +175418.42 202.4619 237.9676 0.00489530387 +180036.44 185.5909 218.5192 0.0108552292 +184745.67 169.504 199.9583 0.00795870592 +189474.52 154.6223 182.8236 0.0155930754 +194283.50 140.9786 167.0527 0.0132552254 +199038.44 128.6227 152.6888 0.00225743217 +203784.50 117.4094 139.7036 0.00364197748 +208590.57 106.6996 127.2933 0.00287419554 +213306.43 97.2433 116.3051 0.00162141913 +218018.41 88.4567 106.0772 0.00190157829 +222638.44 80.7791 97.1312 0.00314261038 +227253.61 73.5312 88.6642 0.00240748832 +231997.43 65.6773 79.476 0.00203469899 +235743.49 62.6286 75.8995 0.00132853303 +238913.52 61.0006 73.9887 0.00281442712 diff --git a/calib_data/_calib_data/calib2024-12-12_p1_c6.dat b/calib_data/_calib_data/calib2024-12-12_p1_c6.dat new file mode 100644 index 0000000..6cb94a0 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p1_c6.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55306.44 18354.37 10509.04 0.746886872 +57613.61 16000.05 9363.65 0.470159547 +60107.43 13197.11 7955.55 0.642222703 +62328.44 11218.86 6938.58 0.378364903 +64547.42 9595.85 6078.42 0.526839634 +66795.67 8287.34 5367.4 0.258843582 +69067.43 7143.32 4728.67 0.10198039 +71343.49 6219.2 4201.297 0.0683234952 +73646.45 5439.38 3746.494 0.0576576101 +76017.42 4788.854 3359.081 0.0646289409 +78457.44 4218.385 3011.169 0.0954824591 +80888.41 3749.668 2719.183 0.0598172216 +83287.42 3360.567 2472.38 0.0585662019 +85636.47 3028.283 2257.758 0.0744687854 +87947.44 2742.062 2069.688 0.0664499812 +90223.54 2489.984 1901.536 0.0780153831 +92488.42 2267.13 1750.469 0.0495671262 +94743.56 2069.924 1614.635 0.0791233215 +96987.40 1894.334 1491.927 0.0361676651 +99218.41 1736.718 1380.76 0.0391663121 +101461.62 1595.1 1279.515 0.0279732015 +103728.44 1468.379 1188.43 0.0221359436 +105978.44 1350.055 1101.939 0.0230412673 +108227.42 1242.621 1022.621 0.0129961533 +110493.60 1145.506 950.301 0.0400112484 +112757.44 1057.455 884.056 0.0204058815 +115035.73 978.001 823.851 0.0216540989 +117345.78 901.661 765.557 0.014003571 +119698.43 833.508 713.024 0.0229434086 +122057.44 769.205 663.231 0.0202212759 +124455.66 711.959 618.509 0.0294091822 +126918.43 656.209 574.675 0.016507574 +129456.48 605.021 534.161 0.0226914081 +132012.45 558.347 496.7684 0.0110156253 +135137.43 515.531 462.4491 0.00779159804 +137863.64 474.2436 429.1891 0.00674603587 +140688.45 436.2263 398.228 0.00697423831 +143636.46 401.456 369.6833 0.00588396125 +146757.44 369.1056 342.9338 0.0051260121 +150195.78 339.1933 317.9729 0.00615215409 +154067.43 311.451 294.661 0.00558569602 +158094.66 286.0791 273.0799 0.00715604639 +162268.44 262.7546 253.0942 0.00570753887 +166534.66 241.1224 234.3899 0.00860168588 +170978.44 220.9483 216.7454 0.00984296703 +175508.42 202.398 200.331 0.00665732679 +180127.44 185.5439 185.268 0.00705124103 +184836.46 169.4505 170.7548 0.00711168053 +189565.65 154.5702 157.1638 0.00361054013 +194374.50 140.9299 144.5672 0.00229259678 +199129.44 128.5746 133.0285 0.00149833241 +203875.67 117.3709 122.4579 0.00253948814 +208681.65 106.6648 112.2401 0.00124458829 +213397.43 97.2128 103.1244 0.00305352256 +218108.45 88.4303 94.5729 0.0025551908 +222728.44 80.7563 87.0274 0.00162603813 +227344.49 73.5084 79.8306 0.00255812431 +232088.44 65.6602 71.9601 0.00203690942 +235833.49 62.613 68.8839 0.00280160668 +239003.51 60.9802 67.2281 0.00200723691 diff --git a/calib_data/_calib_data/calib2024-12-12_p2_c1.dat b/calib_data/_calib_data/calib2024-12-12_p2_c1.dat new file mode 100644 index 0000000..4da9d8f --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p2_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55422.60 18352.44 19559.92 2.43564365 +57729.41 16004.78 17099.17 1.17847783 +60223.63 13191.43 14152.44 0.75989473 +62443.48 11217.74 12063.84 0.899132916 +64663.61 9593.75 10352.94 0.953960167 +66911.62 8286.36 8961.17 0.293955779 +69183.55 7142.23 7737.95 0.152479507 +71458.44 6218.71 6747.26 0.278639552 +73762.61 5438.94 5907.31 0.153264477 +76133.59 4788.434 5205.61 0.150632002 +78573.64 4218.024 4584.175 0.0687931683 +81003.49 3749.532 4073.678 0.0799849986 +83403.62 3360.272 3648.017 0.0495186833 +85752.63 3028.052 3283.89 0.0591607978 +88063.60 2741.942 2969.225 0.0511321816 +90338.41 2490.098 2691.721 0.045966292 +92603.59 2267.026 2445.526 0.056217435 +94858.43 2069.513 2227.287 0.0960109369 +97103.54 1894.035 2032.942 0.0884058822 +99333.58 1736.712 1858.623 0.0642347258 +101600.59 1594.773 1701.633 0.0447671755 +103843.64 1468.294 1561.821 0.0240187427 +106093.49 1349.979 1431.04 0.020880613 +108343.62 1242.497 1312.545 0.0224165118 +110609.43 1145.449 1205.711 0.0106254412 +112873.65 1057.396 1109.21 0.0207846097 +115151.57 977.899 1022.369 0.023641066 +117461.58 901.615 939.414 0.020356817 +119813.67 833.507 865.694 0.0183956517 +122173.60 769.136 796.577 0.0104928547 +124571.58 711.92 735.281 0.0245132617 +127036.51 656.124 675.929 0.028193971 +129572.60 604.99 621.849 0.0180803761 +132127.41 558.304 572.728 0.0244458585 +135253.62 515.458 527.992 0.0152184099 +137979.44 474.1947 485.1383 0.00513819034 +140803.61 436.1626 445.864 0.0101577557 +143752.63 401.4114 410.157 0.00652380257 +146873.44 369.0525 377.0245 0.00449499722 +150311.58 339.1093 346.5377 0.00716665891 +154183.64 311.3659 318.3515 0.00718226984 +158210.58 285.9956 292.6572 0.00673023031 +162383.64 262.6596 269.1021 0.00756762843 +166650.58 241.0493 247.2932 0.00913652013 +171093.56 220.8672 226.9763 0.00744184117 +175623.50 202.3228 208.3106 0.00643148505 +180243.53 185.4612 191.3441 0.0116150334 +184952.62 169.3848 175.1843 0.00614174242 +189681.60 154.4987 160.2757 0.0084522778 +194490.59 140.8749 146.4846 0.00331119314 +199245.77 128.5126 134.0444 0.0029906521 +203991.64 117.3212 122.7561 0.00295787086 +208797.41 106.6193 111.9726 0.00286076913 +213513.51 97.1683 102.4407 0.00206905776 +218223.53 88.3895 93.5738 0.0027342275 +222843.60 80.7206 85.8232 0.00261839646 +227460.62 73.4737 78.4838 0.00222620754 +232203.52 65.6358 70.5188 0.00189103146 +235948.46 62.5919 67.4197 0.00293274615 +239118.43 60.9627 65.758 0.00264575131 diff --git a/calib_data/_calib_data/calib2024-12-12_p2_c2.dat b/calib_data/_calib_data/calib2024-12-12_p2_c2.dat new file mode 100644 index 0000000..696a57f --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p2_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55513.61 18357.32 20310.58 1.89988421 +57820.58 16004.25 17762.86 1.28733834 +60314.63 13191.64 14711.22 0.744150522 +62534.64 11216.22 12555.94 1.00171852 +64754.58 9593.88 10775.85 1.11456269 +67002.59 8286.59 9335 0.368239053 +69274.60 7142.83 8069.15 0.189868375 +71548.44 6219.05 7042.51 0.267001873 +73853.49 5438.8 6172.71 0.194653538 +76224.63 4788.02 5443.9 0.148996644 +78664.64 4217.843 4799.751 0.0812582304 +81093.62 3749.41 4270.321 0.0684024853 +83494.62 3360.141 3828.91 0.0644515322 +85843.63 3028.115 3450.643 0.0977348454 +88154.60 2741.876 3123.613 0.0922393625 +90428.42 2490.206 2835.21 0.0684689711 +92693.55 2266.884 2578.831 0.0756894973 +94948.43 2069.477 2352.029 0.0588294144 +97194.57 1893.901 2149.641 0.0868268392 +99423.58 1736.601 1967.928 0.0602129554 +101691.59 1594.773 1804.162 0.0835918656 +103934.68 1468.248 1658.765 0.0637377439 +106183.61 1349.991 1521.589 0.0301147804 +108434.66 1242.464 1397.551 0.0205158475 +110700.60 1145.422 1285.886 0.0226362541 +112964.48 1057.337 1184.651 0.0258244071 +115242.57 977.843 1093.528 0.0186440339 +117552.58 901.562 1006.394 0.0254243977 +119911.63 833.524 928.875 0.0157003185 +122264.48 769.152 856.015 0.0290602822 +124662.58 711.902 791.391 0.0221562632 +127127.42 656.105 728.682 0.0332505639 +129664.64 604.913 671.411 0.0254342289 +132218.41 558.22 619.281 0.0149298359 +135344.62 515.383 571.851 0.020709901 +138070.61 474.1542 526.39 0.0292232784 +140894.66 436.1517 484.3349 0.00818834538 +143843.63 401.3959 446.1694 0.0108877913 +146963.48 369.0375 410.6707 0.00717641972 +150402.62 339.05 377.9039 0.00856206751 +154274.68 311.3048 347.5943 0.00966545395 +158301.54 285.923 319.8942 0.00912447259 +162474.67 262.6014 294.4426 0.00446810922 +166741.54 240.9865 270.8357 0.00555526777 +171184.48 220.8146 248.8108 0.0060511156 +175713.49 202.2682 228.5246 0.00603025704 +180333.52 185.4121 210.0814 0.00405758549 +185043.62 169.3302 192.4279 0.00605384176 +189772.49 154.4553 176.1374 0.00946805154 +194581.63 140.83 161.145 0.0076694198 +199336.44 128.4783 147.4545 0.00403050865 +204082.63 117.2863 135.0757 0.00214965113 +208888.45 106.5908 123.2224 0.00244622158 +213603.51 97.1398 112.7214 0.00158871017 +218314.49 88.369 102.9326 0.00309257175 +222933.52 80.6982 94.3622 0.00262982889 +227551.58 73.4536 86.242 0.00235372046 +232293.49 65.6183 77.4205 0.00198116128 +236038.42 62.577 73.9842 0.00258766304 +239208.43 60.9532 72.1447 0.00259634358 diff --git a/calib_data/_calib_data/calib2024-12-12_p2_c4.dat b/calib_data/_calib_data/calib2024-12-12_p2_c4.dat new file mode 100644 index 0000000..8d9195c --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p2_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55603.61 18365.13 10742.88 1.17811714 +57911.62 16003.74 9526.6 0.585320425 +60405.63 13194.81 8030.58 0.482866441 +62625.60 11215.75 6961.74 0.710943036 +64845.77 9592.7 6065.86 0.693858775 +67093.62 8286.4 5332.19 0.290327401 +69365.75 7142.99 4678.455 0.108252021 +71638.45 6219.09 4141.513 0.0529159711 +73943.62 5439.1 3681.108 0.106158372 +76315.63 4787.738 3292.426 0.0541331691 +78755.68 4217.475 2945.396 0.0997316399 +81184.61 3749.23 2656.62 0.107582526 +83585.67 3359.951 2412.755 0.0844304447 +85934.59 3027.948 2201.882 0.066660333 +88245.65 2741.611 2018.06 0.0761051904 +90518.41 2490.063 1854.461 0.0665950449 +92783.59 2266.722 1707.676 0.0756994055 +95038.43 2069.548 1575.987 0.0153003268 +97285.73 1893.975 1458.053 0.0156236999 +99513.58 1736.622 1351.134 0.0313432608 +101782.59 1594.763 1253.881 0.0173464694 +104025.76 1468.182 1166.575 0.0144395291 +106274.49 1349.942 1083.733 0.00949210198 +108525.78 1242.331 1007.691 0.0306088223 +110791.59 1145.347 938.394 0.0244622158 +113055.73 1057.248 874.764 0.027466343 +115333.61 977.777 816.821 0.0194653538 +117643.50 901.476 760.543 0.0250619233 +120002.67 833.403 709.78 0.0266833281 +122355.69 769.072 661.35 0.0282488938 +124753.58 711.844 617.759 0.0174040225 +127223.64 656.073 574.753 0.0147003401 +129755.76 604.896 534.884 0.027971414 +132308.41 558.187 497.8463 0.0108434773 +135435.75 515.409 463.7105 0.00924689137 +138161.60 474.1199 430.4726 0.00596355599 +140985.74 436.1111 399.4041 0.0095639427 +143934.67 401.376 370.6798 0.0113831454 +147053.48 368.9892 343.6193 0.00909950548 +150493.62 338.989 318.2666 0.00610606256 +154365.80 311.2547 294.5556 0.00811935958 +158392.49 285.8532 272.6235 0.00674129068 +162565.76 262.5444 252.2742 0.00523029636 +166832.62 240.9163 233.2053 0.00738247926 +171275.75 220.7646 215.2552 0.00601464878 +175803.54 202.2233 198.5619 0.0065428587 +180423.48 185.3625 183.2763 0.0048146651 +185134.62 169.2867 168.5508 0.0090606843 +189863.52 154.4164 154.7622 0.00161121072 +194672.62 140.7857 142.0453 0.00234968083 +199427.45 128.444 130.4082 0.0041080409 +204173.51 117.2473 119.7762 0.00354344465 +208978.41 106.5624 109.5354 0.00222800359 +213694.52 97.112 100.4204 0.0030893365 +218405.66 88.3396 91.8839 0.00288600069 +223023.51 80.677 84.3707 0.0035554184 +227642.62 73.4353 77.226 0.00243721152 +232383.64 65.6019 69.4278 0.00272323337 +236128.42 62.5617 66.3824 0.00197585425 +239298.43 60.9378 64.7503 0.00162511538 diff --git a/calib_data/_calib_data/calib2024-12-12_p2_c5.dat b/calib_data/_calib_data/calib2024-12-12_p2_c5.dat new file mode 100644 index 0000000..da8e3bb --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p2_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55694.61 18367.18 23155.87 2.59653808 +58002.62 16000.33 20173.58 1.41518903 +60496.43 13189.4 16617.35 1.8650067 +62716.44 11214.77 14125.13 1.27106648 +64936.42 9590.92 12072.9 0.582237065 +67184.58 8285.79 10425.54 0.284675254 +69456.44 7142.63 8979.72 0.248112878 +71728.41 6218.89 7810.7 0.208326667 +74034.62 5438.55 6823.5 0.26 +76406.47 4787.825 6000.37 0.179471446 +78846.44 4217.022 5276.29 0.200723691 +81275.65 3749.031 4680.485 0.0779775609 +83676.43 3359.879 4186.355 0.0702032763 +86025.67 3027.907 3763.884 0.0706286061 +88336.45 2741.481 3399.861 0.0762948229 +90608.42 2489.961 3079.573 0.0589414964 +92873.59 2266.593 2795.515 0.0473761543 +95128.44 2069.449 2544.593 0.0652694415 +97376.41 1893.935 2321.373 0.074780345 +99603.58 1736.671 2121.501 0.0898493183 +101873.63 1594.696 1941.619 0.0684463293 +104116.44 1468.125 1781.943 0.0556246348 +106365.77 1349.765 1632.697 0.0980209161 +108616.46 1242.326 1496.429 0.0193106188 +110882.59 1145.304 1374.678 0.0288721319 +113146.48 1057.157 1264.561 0.0223360695 +115424.66 977.745 1165.565 0.016507574 +117733.54 901.46 1071.137 0.0225410736 +120093.51 833.336 987.131 0.0260940606 +122446.41 769.025 908.388 0.0227508242 +124844.65 711.79 838.689 0.0248777009 +127314.67 656.016 771.142 0.0122311079 +129846.44 604.872 709.652 0.016297239 +132400.57 558.157 653.639 0.0169970586 +135526.43 515.375 602.824 0.00695701085 +138252.48 474.0833 554.091 0.0222912539 +141076.50 436.0584 509.376 0.0292643127 +144025.79 401.3475 468.5072 0.00698111739 +147144.48 368.936 430.6912 0.00647888879 +150584.66 338.9483 395.7939 0.00991811474 +154456.48 311.198 363.5881 0.0084005357 +158483.62 285.7988 334.1887 0.00528403255 +162656.44 262.4798 307.2388 0.00918237442 +166923.57 240.8583 282.2605 0.00673238442 +171366.44 220.7136 259.006 0.0118220134 +175893.50 202.1751 237.6055 0.0119860335 +180513.52 185.3083 218.1887 0.00649160997 +185225.66 169.2538 199.6404 0.00969659734 +189953.53 154.3734 182.5257 0.00929306193 +194763.55 140.7457 166.804 0.00736613874 +199518.45 128.4048 152.4416 0.00227244362 +204263.51 117.2131 139.4858 0.00303907881 +209068.45 106.5314 127.0913 0.00169144908 +213785.67 97.0894 116.1209 0.00238096619 +218496.45 88.3139 105.9193 0.00216356188 +223113.52 80.6554 96.9891 0.00182455474 +227733.50 73.4181 88.5385 0.00224165118 +232474.48 65.5872 79.3748 0.00152184099 +236218.42 62.5469 75.8047 0.00175527776 +239388.44 60.9246 73.8988 0.00231430335 diff --git a/calib_data/_calib_data/calib2024-12-12_p2_c6.dat b/calib_data/_calib_data/calib2024-12-12_p2_c6.dat new file mode 100644 index 0000000..ed0e5ab --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-12_p2_c6.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55785.70 18369.52 10516.44 0.700171408 +58093.62 15999.62 9365.11 0.8566738 +60587.43 13186.03 7951.96 0.629952379 +62807.44 11214.63 6935.06 0.658513477 +65027.41 9591.2 6075.94 0.551035389 +67275.66 8284.58 5365.49 0.188387898 +69547.44 7142.63 4727.892 0.124874337 +71818.45 6218.37 4200.823 0.119950406 +74125.62 5438.06 3745.144 0.0954798408 +76497.43 4787.832 3358.338 0.106843811 +78937.44 4216.951 3010.086 0.0614198665 +81366.46 3748.814 2718.758 0.0928310293 +83767.42 3359.828 2472.144 0.0812551537 +86116.43 3027.767 2257.31 0.114052619 +88427.40 2741.546 2069.378 0.0646343562 +90698.41 2489.868 1901.269 0.0582142594 +92963.55 2266.325 1750.212 0.0465360076 +95218.44 2069.273 1614.493 0.0531234412 +97467.41 1893.864 1491.591 0.0301147804 +99693.57 1736.56 1380.537 0.0334678951 +101964.67 1594.826 1279.256 0.0346756399 +104207.44 1468.164 1188.291 0.0134499071 +106456.41 1349.678 1101.696 0.0188255146 +108707.42 1242.246 1022.351 0.022020445 +110974.67 1145.286 950.086 0.035810613 +113237.44 1057.126 883.891 0.0253554728 +115515.77 977.668 823.605 0.0197610728 +117823.63 901.391 765.293 0.0197509493 +120183.51 833.282 712.893 0.0214499417 +122537.40 769.013 663.047 0.0192379833 +124935.74 711.731 618.309 0.0257856549 +127405.75 655.978 574.465 0.0272121296 +129937.44 604.823 534.022 0.0241991735 +132992.59 558.076 496.5092 0.00789911387 +135617.43 515.354 462.2836 0.00535014019 +138343.48 474.0088 429.0094 0.00928353381 +141167.42 436.0072 398.052 0.0055767374 +144116.47 401.326 369.5733 0.00424040092 +147235.64 368.9 342.7668 0.00992753746 +150675.74 338.8971 317.7301 0.00348267139 +154547.44 311.1353 294.3606 0.00485015464 +158574.65 285.7478 272.8164 0.00901687307 +162747.43 262.4297 252.824 0.00615304803 +167014.66 240.8127 234.0933 0.00492757547 +171457.44 220.6594 216.4628 0.00907281654 +175983.54 202.1221 200.0724 0.00673379536 +180603.53 185.276 185.0343 0.00902225027 +185316.48 169.2147 170.5204 0.00787680138 +190044.52 154.3343 156.9406 0.00287819388 +194853.51 140.7123 144.3645 0.00169852878 +199608.45 128.3667 132.8365 0.00237170825 +204353.63 117.1828 122.2818 0.00227508242 +209159.41 106.5025 112.084 0.00234946802 +213876.44 97.0636 102.983 0.0026 +218587.42 88.2945 94.4465 0.00406509532 +223203.52 80.6376 86.9117 0.00191337398 +227823.50 73.4039 79.7328 0.00230564525 +232565.68 65.5757 71.8725 0.00155080624 +236308.42 62.5342 68.8102 0.00136235091 +239479.44 60.917 67.1615 0.00195576072 diff --git a/calib_data/_calib_data/calib2024-12-17_p0_c1.dat b/calib_data/_calib_data/calib2024-12-17_p0_c1.dat new file mode 100644 index 0000000..840dafe --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p0_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47433.63 18886.6 5849.748 3.3721669 +49573.64 17796.5 5590.888 3.56559414 +51765.61 13487.47 4557.447 0.314722259 +53657.43 11539.04 4060.208 0.0962060289 +55540.56 9908.04 3623.076 0.370286916 +57438.44 8591.71 3257.66 0.14362451 +59320.61 7479.1 2934.705 0.087843611 +61203.61 6552.69 2655.041 0.127627975 +63089.42 5774.35 2411.638 0.0464284396 +65048.44 5162.26 2213.245 0.0689818817 +66943.48 4569.718 2017.949 0.310530031 +68833.61 4069.53 1843.024 0.0876607096 +70723.62 3639.56 1688.723 0.0615962661 +72615.67 3265.365 1549.695 0.0350499643 +74517.45 2933.163 1423.195 0.0200124961 +76447.41 2638.888 1307.663 0.0287767267 +78348.42 2387.146 1206.24 0.022627417 +80248.42 2167.438 1115.304 0.0339764624 +82147.43 1972.702 1032.62 0.0388329757 +84048.36 1799.392 957.475 0.0443677811 +85943.57 1646.456 889.639 0.0251177228 +87853.62 1512.024 828.972 0.024690079 +89760.59 1386.861 771.187 0.0225410736 +91678.44 1273.576 717.924 0.0121819539 +93612.65 1171.84 669.299 0.0227354349 +95552.63 1079.527 624.486 0.0232894826 +97516.47 996.437 583.567 0.0237928561 +99478.44 916.984 543.775 0.0183439363 +101450.60 846.174 507.908 0.0255264569 +103470.61 779.67 473.6058 0.00742805493 +105520.58 720.775 443.0197 0.00928444936 +107612.63 663.715 412.9778 0.00449177025 +109740.60 611.47 385.1551 0.00820420624 +111939.41 563.716 359.4231 0.00844328135 +114215.78 520.265 335.6948 0.00721221187 +116575.79 478.2289 312.638 0.00840713982 +119049.45 439.6846 291.127 0.00885437745 +121621.57 404.4413 271.1843 0.00637502941 +124325.83 371.7457 252.4618 0.00650507494 +127250.56 341.7507 235.0714 0.00976749712 +130549.41 313.7968 218.6878 0.00730451915 +133998.44 287.9392 203.2971 0.00914270201 +137597.41 264.2343 189.0138 0.00735091831 +142717.43 242.0851 175.4737 0.0116979058 +146617.41 221.7781 162.8475 0.00622133426 +150600.59 203.0759 151.045 0.00256904652 +154650.62 186.0946 140.2008 0.00356875328 +158718.43 169.9831 129.7505 0.00243413229 +162924.54 154.8795 119.8613 0.00432677709 +167128.43 141.2112 110.7348 0.00221720545 +171330.57 128.7639 102.3089 0.00327856676 +175611.59 117.4474 94.5248 0.00436302647 +179898.41 106.731 87.054 0.00240416306 +184100.60 97.2452 80.3573 0.00331978915 +188299.41 88.4325 74.0457 0.00298345437 +192500.61 80.7001 68.4462 0.00295567251 +196627.42 73.4657 63.1351 0.00146594679 +200829.44 65.6264 57.2969 0.00342184161 +204201.61 62.5509 54.992 0.00235372046 +206975.67 60.9288 53.7648 0.0030423675 diff --git a/calib_data/_calib_data/calib2024-12-17_p0_c2.dat b/calib_data/_calib_data/calib2024-12-17_p0_c2.dat new file mode 100644 index 0000000..99ac7be --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p0_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47523.63 18885.11 22909.51 25.7287833 +49664.48 17801.79 21576.8 24.5859065 +51856.46 13486.57 16174.18 1.00596223 +53748.42 11540.22 13772.81 1.38949271 +55631.63 9902.21 11766.94 0.988959049 +57528.44 8592.22 10172.69 0.360679913 +59411.61 7479.01 8830.81 0.514674655 +61294.50 6553.36 7719.44 0.22324874 +63180.59 5775.02 6788.79 0.24349538 +65138.44 5160.5 6052.48 0.273788239 +67033.60 4569.68 5358.97 0.348439378 +68924.50 4068.892 4769.243 0.250084186 +70814.50 3639.555 4261.009 0.108521426 +72706.43 3265.218 3820.073 0.046691541 +74608.44 2933.267 3429.434 0.10140217 +76538.40 2638.622 3083.641 0.09623357 +78438.41 2387.119 2788.706 0.0680323452 +80338.42 2167.607 2531.508 0.0457121428 +82238.44 1972.629 2303.593 0.0828377933 +84138.45 1799.558 2101.342 0.0571279266 +86033.61 1646.483 1923.25 0.0714562803 +87944.51 1512.024 1767.51 0.0687749955 +89851.59 1386.814 1622.072 0.0470489107 +91768.44 1273.528 1490.168 0.0215313725 +93703.61 1171.826 1372.652 0.0237823464 +95643.62 1079.475 1266.266 0.0221449769 +97607.42 996.395 1170.761 0.0258244071 +99568.43 916.905 1079.664 0.019089264 +101541.61 846.102 998.786 0.0273203221 +103561.57 779.589 922.93 0.0241246762 +105611.54 720.727 856.021 0.025591014 +107703.51 663.661 791.272 0.0188573593 +109831.57 611.456 732.115 0.0205548048 +112030.58 563.631 678.109 0.0182455474 +114306.42 520.15 628.943 0.0238348484 +116666.43 478.1337 581.62 0.0212132034 +119140.60 439.5922 537.973 0.0210261742 +121712.62 404.3442 497.898 0.00722634071 +124416.43 371.6353 460.7365 0.00587239304 +127341.60 341.6284 426.5019 0.0084171848 +130640.58 313.668 394.5279 0.00963166652 +134088.43 287.8246 364.8136 0.00528242369 +137688.45 264.116 337.402 0.0080137382 +142808.44 241.983 311.6506 0.00721553879 +146708.42 221.6763 287.862 0.008428523 +150691.59 202.9675 265.7692 0.0116788698 +154741.58 186.0053 245.5689 0.00950836474 +158808.44 169.8919 226.1836 0.0137376854 +163015.81 154.7931 207.9615 0.00935868581 +167218.43 141.1339 191.2034 0.00763701512 +171421.58 128.6956 175.807 0.0094318609 +175702.64 117.3801 161.6579 0.00916018559 +179988.42 106.6757 148.0467 0.003379497 +184191.64 97.1928 135.929 0.00182208672 +188390.58 88.3838 124.5448 0.00361054013 +192591.63 80.6609 114.4471 0.00209499403 +196718.46 73.4316 104.8954 0.00361718122 +200920.60 65.5914 94.3951 0.00322939623 +204292.61 62.5204 90.2318 0.00352930588 +207066.42 60.9031 88.0413 0.00253791253 diff --git a/calib_data/_calib_data/calib2024-12-17_p0_c4.dat b/calib_data/_calib_data/calib2024-12-17_p0_c4.dat new file mode 100644 index 0000000..a238745 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p0_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47614.51 18889.21 25989.78 21.6796624 +49755.68 17772.65 24265.01 9.71715442 +51947.41 13486.51 18122.24 1.69730374 +53838.42 11539.95 15382 1.16970082 +55722.63 9896.82 13093.2 1.29460419 +57618.43 8589.04 11303.07 0.520970249 +59502.49 7477.91 9788.39 0.353397793 +61385.62 6553.4 8534.9 0.359444015 +63271.63 5775.31 7490.35 0.337416656 +65228.44 5159.89 6670.17 0.461530064 +67124.49 4572.57 5896.96 0.408705273 +69015.65 4068.444 5228.48 0.358552646 +70905.66 3639.75 4663.69 0.130491379 +72797.43 3265.41 4173.228 0.140419372 +74698.44 2933.348 3740.43 0.0878862902 +76629.45 2638.596 3357.233 0.0560365952 +78528.42 2387.233 3031.187 0.0823170699 +80428.43 2167.583 2747.332 0.0531751822 +82328.44 1972.501 2496.248 0.100705511 +84228.45 1799.386 2274.058 0.0676875173 +86124.50 1646.501 2078.292 0.0630840709 +88035.82 1511.97 1907.457 0.0587545743 +89942.63 1386.802 1748.467 0.0884878523 +91858.44 1273.444 1605.076 0.0515790655 +93793.61 1171.835 1475.992 0.0165408585 +95734.50 1079.48 1360.013 0.0249419326 +97698.44 996.325 1255.955 0.0276495931 +99658.43 916.854 1156.85 0.018 +101632.60 846.044 1068.948 0.0208710326 +103652.62 779.538 986.736 0.0125857062 +105702.63 720.642 914.226 0.0186654762 +107793.63 663.558 844.163 0.0264971697 +109922.64 611.355 780.133 0.0249819935 +112121.57 563.569 721.893 0.0263837071 +114397.42 520.069 668.83 0.0196977156 +116757.43 478.0413 617.959 0.0228232338 +119231.56 439.5059 570.947 0.0209308385 +121803.61 404.2647 528.014 0.021549942 +124507.43 371.5523 487.9507 0.00661218572 +127432.64 341.5344 451.2238 0.00577546535 +130731.58 313.5687 416.9589 0.00876179205 +134178.45 287.7206 385.1719 0.0062087841 +137778.45 263.9918 355.8751 0.0128097229 +142898.44 241.8888 328.4031 0.00379591886 +146798.41 221.5846 303.0338 0.00997877748 +150782.64 202.8762 279.5063 0.00884991525 +154832.58 185.9081 257.9926 0.00491975609 +158898.44 169.8006 237.4289 0.00621039451 +163106.42 154.7132 218.0653 0.00806975836 +167308.44 141.0558 200.3186 0.0106284524 +171512.61 128.626 183.9865 0.00789461842 +175793.60 117.3178 169.0275 0.0127076748 +180079.41 106.6228 154.6503 0.00276423588 +184282.64 97.1444 141.856 0.00373095162 +188481.62 88.3426 129.8452 0.00336392628 +192682.63 80.6309 119.203 0.00241660919 +196808.41 73.3998 109.1488 0.00274517759 +201011.63 65.5603 98.0976 0.00269888866 +204383.61 62.4945 93.736 0.00235372046 +207157.42 60.8816 91.4297 0.00190814046 diff --git a/calib_data/_calib_data/calib2024-12-17_p0_c5.dat b/calib_data/_calib_data/calib2024-12-17_p0_c5.dat new file mode 100644 index 0000000..6c0a5a5 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p0_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47705.67 18909.47 18653.85 12.8594965 +49846.48 17753.7 17600.88 11.565222 +52038.41 13488.78 13427.19 0.783511327 +53928.42 11538.4 11528.67 0.700292796 +55813.63 9895.51 9923.08 1.52235344 +57709.44 8591.28 8656.94 0.360333179 +59593.61 7477.84 7569.87 0.448564377 +61476.46 6551.44 6660.77 0.390397234 +63362.63 5774.56 5895.22 0.261074702 +65318.43 5162.64 5289.86 0.251475645 +67215.65 4577.066 4710.315 0.885515951 +69106.45 4069.049 4210.182 0.19883561 +70996.46 3639.558 3781.096 0.118778786 +72888.43 3265.617 3405.472 0.0615597271 +74788.44 2933.213 3071.316 0.0878088834 +76720.57 2638.737 2773.576 0.0863272842 +78618.41 2387.332 2518.485 0.0732427471 +80518.42 2167.604 2294.805 0.115058681 +82418.43 1972.505 2095.522 0.0667952094 +84318.44 1799.143 1918.02 0.0478121324 +86215.65 1646.366 1760.94 0.0550454358 +88126.46 1511.805 1622.974 0.0806622588 +90033.63 1386.824 1493.086 0.0316922704 +91949.44 1273.383 1375.877 0.0308236922 +93883.61 1171.742 1270.662 0.0346929388 +95825.78 1079.39 1174.98 0.0165529454 +97789.43 996.281 1088.735 0.0369932426 +99748.43 916.809 1006.267 0.0187643279 +101723.62 845.967 932.792 0.0261074702 +103743.62 779.421 863.661 0.0248374717 +105793.62 720.567 802.589 0.017461386 +107884.63 663.47 743.191 0.0197711912 +110013.48 611.204 688.792 0.0154142791 +112212.61 563.47 639.102 0.0297926165 +114488.42 519.971 593.671 0.0239770724 +116848.44 477.9628 549.923 0.0109590146 +119322.60 439.4261 509.371 0.0247971773 +121894.62 404.2006 472.0539 0.00704052555 +124598.43 371.4851 437.3693 0.00684404851 +127523.49 341.4312 405.4047 0.00721948752 +130822.58 313.4665 375.4517 0.00572721573 +134268.43 287.5983 347.5734 0.0088217912 +137868.45 263.8862 321.8511 0.009009384 +142988.44 241.7937 297.6274 0.00620193518 +146889.42 221.4861 275.221 0.00784856675 +150873.60 202.7972 254.3809 0.0105360809 +154923.62 185.8159 235.2767 0.00951320135 +158988.44 169.7113 216.9789 0.00937917907 +163197.45 154.6451 199.7343 0.01032187 +167398.43 140.9885 183.8414 0.00893106936 +171603.62 128.5614 169.2075 0.00641755405 +175883.63 117.2693 155.7153 0.00148357676 +180170.57 106.5709 142.8157 0.00316243577 +184373.48 97.1022 131.2668 0.00365732142 +188572.62 88.3034 120.3978 0.0020774985 +192773.64 80.5955 110.7656 0.0029906521 +196898.42 73.3663 101.6327 0.00223629157 +201102.64 65.534 91.5838 0.0016297239 +204474.49 62.4708 87.6076 0.00251077677 +207248.43 60.8552 85.503 0.00156843871 diff --git a/calib_data/_calib_data/calib2024-12-17_p1_c1.dat b/calib_data/_calib_data/calib2024-12-17_p1_c1.dat new file mode 100644 index 0000000..5908100 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p1_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47821.63 18905.31 5857.544 1.44738675 +49962.64 17802.42 5597.327 6.67201814 +52153.62 13486.79 4558.764 0.329758093 +54043.63 11534.11 4060.397 0.374457074 +55929.43 9898.76 3621.737 0.175448283 +57825.64 8591.12 3257.312 0.106299577 +59709.41 7478.06 2934.332 0.0759842089 +61592.62 6552.52 2655.251 0.0842787043 +63478.43 5774.59 2411.385 0.0822100967 +65433.64 5159.35 2211.94 0.138874044 +67331.65 4576.141 2018.551 0.199912231 +69222.62 4068.796 1842.953 0.071568848 +71112.62 3638.528 1688.417 0.0794990566 +73003.64 3265.059 1549.614 0.0509745034 +74904.52 2933.193 1423.232 0.03706211 +76836.45 2638.635 1307.739 0.0228670068 +78733.61 2386.713 1206.158 0.027342275 +80633.63 2167.519 1115.262 0.0260691388 +82533.64 1972.021 1032.501 0.0322009317 +84433.49 1799.281 957.383 0.0300349796 +86331.61 1645.952 889.546 0.027971414 +88242.62 1511.715 828.841 0.0206615585 +90149.43 1386.756 771.162 0.0209666402 +92065.64 1273.338 717.877 0.0167958328 +93998.45 1171.603 669.251 0.012525973 +95941.57 1079.354 624.401 0.0191546339 +97905.83 996.19 583.431 0.016878981 +99863.64 916.625 543.645 0.0301081384 +101838.40 845.886 507.817 0.0151029798 +103859.41 779.398 473.4493 0.0105669769 +105909.42 720.523 442.8584 0.00895120104 +108000.59 663.403 412.8447 0.00988134606 +110128.44 611.129 384.9931 0.0095639427 +112328.38 563.382 359.2651 0.00899827761 +114603.63 519.91 335.5508 0.00668101789 +116963.64 477.9049 312.4854 0.00635955973 +119438.40 439.3657 290.9406 0.00845718629 +122010.58 404.1153 271.0053 0.00528024621 +124714.51 371.379 252.2807 0.00715129359 +127638.44 341.3104 234.8452 0.00860209277 +130938.42 313.3298 218.4016 0.00550309004 +134383.63 287.4508 203.0019 0.00804791899 +139355.82 262.8608 188.1711 0.00639445072 +143103.64 241.6536 175.2048 0.00933895069 +147005.82 221.3756 162.6174 0.00647950615 +150988.43 202.6891 150.7909 0.00335097001 +155039.46 185.7252 139.955 0.00280713377 +159103.63 169.6123 129.5193 0.00230672929 +163313.62 154.5522 119.6534 0.003575472 +167513.63 140.909 110.5323 0.00313384748 +171719.42 128.4899 102.1208 0.00283830936 +175999.44 117.2072 94.359 0.00129614814 +180286.42 106.5121 86.9031 0.0026474516 +184488.44 97.04 80.2138 0.00318370853 +188688.42 88.249 73.9147 0.00301678637 +192889.43 80.547 68.332 0.00225831796 +197013.58 73.3222 63.0303 0.00237086482 +201218.44 65.4987 57.1998 0.00216702561 +204590.58 62.4277 54.9045 0.00240104144 +207363.63 60.8232 53.6762 0.00143387587 diff --git a/calib_data/_calib_data/calib2024-12-17_p1_c2.dat b/calib_data/_calib_data/calib2024-12-17_p1_c2.dat new file mode 100644 index 0000000..2d502ae --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p1_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47912.63 18938.16 22964.53 13.4357289 +50053.60 17828.73 21496.58 9.88011943 +52244.49 13482.52 16172.26 1.62149314 +54134.63 11527.53 13754.67 2.44671412 +56020.60 9903.13 11761.89 1.15667195 +57916.44 8590.24 10173.85 0.617130456 +59800.57 7480.19 8831.02 0.287680378 +61683.62 6553.73 7718.9 0.277488739 +63568.43 5774.14 6788.57 0.286024474 +65524.52 5159.81 6054.72 0.341994152 +67422.62 4570.321 5366.98 0.985575974 +69313.58 4068.347 4767.262 0.388810494 +71203.62 3639.476 4261.236 0.0968627896 +73094.51 3265.341 3819.976 0.091435223 +74995.64 2933.356 3429.5 0.0784474346 +76927.41 2638.695 3083.64 0.0756042327 +78824.50 2387.131 2788.682 0.0762994102 +80724.51 2167.558 2531.369 0.0737895657 +82624.52 1972.248 2303.126 0.0851375358 +84523.49 1799.372 2101.293 0.0480634997 +86424.74 1646.316 1923.098 0.0600632999 +88333.62 1511.778 1767.147 0.0372572141 +90240.55 1386.632 1621.891 0.04262511 +92156.49 1273.378 1490.073 0.0377107412 +94088.41 1171.622 1372.467 0.0181686543 +96032.62 1079.364 1266.102 0.0193287351 +97996.43 996.167 1170.514 0.0204058815 +99954.52 916.6 1079.408 0.0296580512 +101928.44 845.852 998.47 0.0281424946 +103950.58 779.379 922.614 0.029839571 +106000.59 720.476 855.725 0.0234627364 +108091.60 663.4 790.974 0.0267282622 +110218.44 611.111 731.848 0.0188573593 +112418.41 563.384 677.798 0.0209666402 +114694.51 519.888 628.634 0.0256593063 +117054.64 477.8447 581.32 0.0290516781 +119528.45 439.3018 537.699 0.0262087772 +122101.58 404.0561 497.5638 0.00812256117 +124805.84 371.3099 460.3636 0.00432943414 +127728.44 341.2441 426.091 0.00731436942 +131028.42 313.2557 394.0305 0.0113501101 +134474.51 287.3505 364.2875 0.00632020569 +139446.41 262.8206 335.9482 0.00574943475 +143194.48 241.5729 311.1873 0.00646072751 +147096.41 221.2978 287.4242 0.00783428363 +151078.43 202.62 265.332 0.00826680107 +155130.58 185.6569 245.1443 0.00623706662 +159194.63 169.5647 225.79 0.00910274684 +163404.50 154.4959 207.5975 0.00661551207 +167604.51 140.8476 190.8666 0.00740027027 +171810.58 128.4305 175.4797 0.0118220557 +176090.55 117.1581 161.3785 0.0104826046 +180377.42 106.4685 147.7919 0.00280873637 +184578.44 97.006 135.6877 0.00187643279 +188778.41 88.2175 124.3247 0.00338540987 +192980.60 80.5221 114.2606 0.00209380037 +197104.62 73.3044 104.7176 0.00229434086 +201308.44 65.4726 94.2297 0.00221833271 +204681.62 62.4126 90.084 0.00183847763 +207454.62 60.8025 87.8947 0.00288461436 diff --git a/calib_data/_calib_data/calib2024-12-17_p1_c4.dat b/calib_data/_calib_data/calib2024-12-17_p1_c4.dat new file mode 100644 index 0000000..f6d60c7 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p1_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48003.63 18932.16 25949.2 17.2598378 +50144.54 17815.22 24284.66 27.6849389 +52335.74 13477.38 18101.39 1.0739134 +54225.74 11530.13 15379.76 2.15165982 +56111.64 9903.27 13104.79 0.626649822 +58007.45 8591.29 11304.66 0.472482804 +59891.57 7480.92 9786.44 0.296040538 +61774.50 6553.73 8533.17 0.226296266 +63659.43 5774.6 7489.47 0.309531905 +65615.69 5159.97 6669.03 0.35806424 +67513.61 4571.275 5890.51 0.974315144 +69403.62 4067.556 5228.7 0.466261729 +71294.50 3639.675 4663.758 0.133849169 +73185.64 3265.342 4173.188 0.114112225 +75086.45 2933.206 3740.007 0.0983976626 +77018.41 2638.853 3356.966 0.0769441356 +78915.66 2387.074 3031.213 0.115974566 +80815.64 2167.457 2747.416 0.0429697568 +82715.76 1972.352 2496.199 0.0746116613 +84613.60 1799.154 2273.846 0.121071879 +86515.82 1646.278 2078.513 0.0676912107 +88424.50 1511.813 1907.408 0.0589542195 +90331.59 1386.614 1748.412 0.0928202564 +92247.45 1273.394 1604.914 0.127422133 +94178.41 1171.68 1475.832 0.028135387 +96123.62 1079.387 1359.83 0.0284253408 +98087.43 996.168 1255.765 0.0273221522 +100045.80 916.679 1156.624 0.0304039471 +102018.41 845.84 1068.75 0.0116619038 +104041.57 779.268 986.43 0.0235796522 +106091.58 720.399 913.957 0.0126530629 +108182.64 663.343 843.911 0.0233002146 +110308.44 611.066 779.926 0.0185580171 +112508.42 563.312 721.584 0.0212696968 +114785.82 519.802 668.574 0.026540535 +117145.63 477.7962 617.588 0.0273788239 +119619.44 439.2596 570.695 0.0269536639 +122192.62 403.9916 527.724 0.0157607106 +124896.49 371.265 487.5968 0.00833522645 +127818.45 341.1823 450.8283 0.00839172211 +131118.42 313.1744 416.492 0.0063387696 +134565.64 287.2828 384.6534 0.00722938448 +139537.42 262.8025 354.4029 0.00348267139 +143285.76 241.4959 327.9281 0.00862258662 +147187.41 221.2296 302.5983 0.00514402566 +151168.43 202.5444 279.0859 0.00550536102 +155221.57 185.5803 257.5842 0.00608078942 +159285.79 169.4862 237.0173 0.00962086275 +163495.79 154.433 217.7263 0.00854757275 +167695.80 140.7908 199.9602 0.0116067222 +171901.58 128.3795 183.6674 0.0115811916 +176181.63 117.1122 168.7551 0.0096679367 +180468.42 106.431 154.3923 0.00327429382 +184668.43 96.9711 141.6129 0.00285464534 +188868.42 88.1893 129.6269 0.00396093423 +193071.64 80.4975 119.0246 0.00242981481 +197195.77 73.2852 108.9732 0.00180443897 +201398.44 65.4501 97.9437 0.0022318154 +204772.61 62.3975 93.5901 0.00317316876 +207545.67 60.7844 91.2913 0.00309208667 diff --git a/calib_data/_calib_data/calib2024-12-17_p1_c5.dat b/calib_data/_calib_data/calib2024-12-17_p1_c5.dat new file mode 100644 index 0000000..045506c --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p1_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48093.63 18883.87 18700.95 14.9274127 +50235.80 17816.12 17642.15 14.7762867 +52426.46 13477.53 13418.53 0.879323604 +54316.47 11533.82 11528.02 1.24441151 +56202.64 9902.65 9935.55 0.793252797 +58098.45 8593.31 8657.15 0.289223097 +59982.61 7480.01 7569.73 0.165559657 +61865.66 6553.17 6660.54 0.146424042 +63750.59 5774.91 5894.99 0.20902153 +65706.48 5160.81 5290.55 0.271385335 +67603.61 4572.975 4707.244 0.47700566 +69494.49 4068.396 4209.835 0.160656466 +71385.79 3639.759 3780.933 0.183450538 +73276.48 3265.336 3405.493 0.089555011 +75177.44 2933.038 3071.531 0.0546342383 +77108.41 2638.836 2773.623 0.0910939076 +79006.42 2387.144 2518.609 0.0730267074 +80906.47 2167.475 2294.703 0.0620330557 +82806.44 1972.381 2095.404 0.0564127645 +84704.49 1799.187 1917.906 0.0351055551 +86606.46 1646.14 1760.959 0.0773621354 +88515.79 1511.723 1622.879 0.0233430932 +90422.63 1386.697 1493.062 0.0204352636 +92338.45 1273.307 1375.846 0.0208901891 +94268.45 1171.691 1270.58 0.0347562944 +96214.57 1079.315 1174.841 0.0181906569 +98178.43 996.116 1088.632 0.0275245345 +100136.47 916.657 1006.102 0.0242816803 +102108.40 845.845 932.634 0.0268029849 +104132.62 779.204 863.476 0.019089264 +106182.63 720.364 802.38 0.020880613 +108274.51 663.273 743.06 0.0313687743 +110399.44 611.059 688.652 0.0234008547 +112598.41 563.257 638.9 0.0239582971 +114876.43 519.763 593.484 0.0206009709 +117236.47 477.7527 549.662 0.0391612053 +119710.57 439.234 509.159 0.0280160668 +122283.62 403.9518 471.8069 0.0059757008 +124987.44 371.2318 437.1229 0.00669096406 +127909.45 341.121 405.0787 0.00618231348 +131208.42 313.1015 375.0617 0.00651774501 +134656.48 287.2211 347.1677 0.0115187239 +139628.42 262.7805 320.6286 0.00493396392 +143376.48 241.4284 297.2712 0.00465360076 +147278.41 221.1613 274.8687 0.00672168134 +151258.44 202.4817 254.0395 0.00766191882 +155312.62 185.5196 234.9551 0.00680066173 +159376.43 169.4042 216.6402 0.00956221732 +163586.45 154.3756 199.4294 0.00953645636 +167786.52 140.7406 183.5436 0.00986934648 +171992.62 128.3298 168.9434 0.00670253683 +176272.64 117.0716 155.4782 0.00343453054 +180558.42 106.3915 142.5964 0.00334125725 +184758.44 96.9332 131.0597 0.00181135309 +188958.42 88.1559 120.2205 0.00224610774 +193162.64 80.4682 110.6146 0.00228560714 +197286.46 73.258 101.485 0.00228910463 +201488.44 65.4288 91.4506 0.00201593651 +204863.61 62.379 87.4904 0.00320374781 +207636.47 60.7667 85.3895 0.00291976026 diff --git a/calib_data/_calib_data/calib2024-12-17_p2_c1.dat b/calib_data/_calib_data/calib2024-12-17_p2_c1.dat new file mode 100644 index 0000000..58d2732 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p2_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48209.43 18902.39 5841.376 2.25094478 +50351.65 17809.99 5586.499 1.28805237 +52542.61 13473.88 4554.519 0.26669252 +54432.63 11530.78 4056.584 0.26090688 +56318.43 9902.02 3621.042 0.301220185 +58213.61 8592.14 3257.243 0.0919679292 +60098.42 7477.08 2934.277 0.080000625 +61981.63 6552.31 2655.031 0.0831558777 +63866.43 5773.72 2411.441 0.0766217985 +65822.60 5160.41 2212.606 0.145589835 +67719.45 4569.17 2016.768 0.152307584 +69610.58 4068.237 1842.066 0.110952242 +71501.62 3639.64 1688.685 0.0697746372 +73392.63 3265.067 1549.607 0.0537596503 +75293.64 2933.195 1423.127 0.0219111844 +77223.49 2638.82 1307.622 0.0207267943 +79122.62 2387.063 1206.226 0.030665942 +81022.59 2167.307 1115.291 0.0378007936 +82922.63 1972.333 1032.483 0.0251017928 +84820.57 1798.852 957.33 0.0286705424 +86722.62 1646.179 889.501 0.0202212759 +88631.58 1511.77 828.851 0.0172887246 +90538.43 1386.639 771.08 0.0253771551 +92453.49 1273.374 717.901 0.016878981 +94383.49 1171.611 669.27 0.0140712473 +96330.58 1079.235 624.381 0.027944588 +98293.54 996.087 583.336 0.0276839304 +100252.63 916.577 543.611 0.0339543812 +102223.49 845.761 507.675 0.0187749834 +104248.41 779.176 473.3741 0.0066504887 +106298.42 720.335 442.7799 0.00974315144 +108390.60 663.184 412.7309 0.00955662074 +110515.81 610.987 384.8925 0.0103094617 +112713.62 563.283 359.1507 0.00829463682 +114992.62 519.758 335.44 0.00759473502 +117352.63 477.6915 312.3489 0.00755175476 +119826.49 439.1854 290.818 0.00849117189 +122399.43 403.9123 270.8881 0.00471900413 +125103.47 371.1613 252.1349 0.00801554739 +128025.65 341.0373 234.6689 0.00543957719 +131323.62 313.0008 218.2078 0.00727296363 +134772.64 287.099 202.7997 0.0062706459 +139743.62 262.7173 188.095 0.00671863081 +143492.64 241.342 174.9884 0.00893106936 +147393.61 221.0648 162.4003 0.00907860121 +151373.60 202.4125 150.6054 0.00289205809 +155428.42 185.4455 139.784 0.00188148877 +159492.64 169.3346 129.3372 0.00265631323 +163702.61 154.3168 119.4874 0.00340646444 +167902.61 140.6768 110.3767 0.00289499568 +172108.46 128.2711 101.9731 0.00196188685 +176388.44 117.0275 94.2365 0.00246272207 +180673.57 106.342 86.7852 0.00280285569 +184873.64 96.8941 80.1025 0.00288530761 +189073.62 88.115 73.8206 0.00263134946 +193278.44 80.4345 68.2521 0.00213752193 +197402.58 73.2256 62.9513 0.00172655727 +201603.60 65.3927 57.1256 0.00183956517 +204979.42 62.3536 54.84 0.00191833261 +207752.63 60.7398 53.6197 0.00210736803 diff --git a/calib_data/_calib_data/calib2024-12-17_p2_c2.dat b/calib_data/_calib_data/calib2024-12-17_p2_c2.dat new file mode 100644 index 0000000..47c6581 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p2_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48300.60 18937.37 23016.55 16.5498112 +50442.48 17792.05 21578.4 23.6747418 +52633.62 13478.59 16161 2.45393561 +54523.62 11530.48 13760.19 1.22257515 +56408.44 9902.06 11756.61 0.651682438 +58304.52 8593.06 10173.98 0.371967741 +60188.41 7478.03 8830.39 0.29238673 +62072.62 6552.45 7717.82 0.392377369 +63957.43 5774.64 6787.86 0.438223687 +65913.48 5160.06 6055.31 0.396598033 +67810.57 4571.206 5362.99 1.01207213 +69701.62 4068.595 4767.906 0.459460989 +71592.64 3639.197 4261.091 0.0953776703 +73483.63 3265.245 3819.75 0.125347517 +75384.53 2933.231 3429.537 0.0714569801 +77313.62 2638.652 3083.652 0.0651889561 +79213.62 2387.13 2788.649 0.0725596306 +81113.63 2167.306 2531.502 0.0632898096 +83014.48 1972.408 2303.354 0.0737455083 +84911.61 1799.217 2101.325 0.117117462 +86813.61 1646.312 1923.006 0.0647796264 +88722.62 1511.711 1767.064 0.0634854314 +90628.43 1386.598 1621.912 0.0670492356 +92543.61 1273.417 1490.024 0.0182318403 +94474.49 1171.588 1372.463 0.0337653669 +96421.58 1079.263 1266.057 0.0307912325 +98384.51 996.094 1170.434 0.0249078301 +100343.48 916.585 1079.316 0.02691468 +102313.57 845.756 998.405 0.0245051015 +104338.42 779.209 922.498 0.0218082553 +106388.43 720.334 855.614 0.0163217646 +108481.59 663.173 790.867 0.024333105 +110606.40 611.009 731.569 0.023641066 +112804.49 563.229 677.602 0.0244867311 +115083.63 519.707 628.471 0.0237255137 +117443.64 477.649 581.132 0.0284534708 +119917.41 439.1386 537.49 0.0282842712 +122490.58 403.8908 497.3511 0.00589822007 +125193.59 371.1179 460.115 0.00835583628 +128116.44 340.9855 425.7916 0.00729547805 +131414.51 312.944 393.705 0.00681322244 +134863.64 287.0416 363.9118 0.00693945243 +139833.62 262.7002 335.796 0.00691953756 +143583.48 241.2864 310.8516 0.00526535849 +147484.50 221.0072 287.0778 0.00634318532 +151464.51 202.3514 265.0174 0.00967904954 +155518.42 185.4039 244.8179 0.005862508 +159583.64 169.2863 225.4772 0.00688302259 +163793.63 154.2684 207.3272 0.00974248428 +167993.64 140.6279 190.5973 0.00795870592 +172198.42 128.2247 175.2456 0.00832970588 +176478.44 116.9898 161.1574 0.0088466943 +180763.62 106.3145 147.59 0.00354682957 +184964.48 96.8647 135.5047 0.00192379833 +189164.62 88.0893 124.1654 0.00231170932 +193368.45 80.4145 114.1217 0.00311464284 +197493.62 73.2048 104.5913 0.00222283603 +201694.64 65.3799 94.1081 0.0020709901 +205070.58 62.3361 89.9835 0.00211778186 +207843.51 60.7293 87.8011 0.00240187427 diff --git a/calib_data/_calib_data/calib2024-12-17_p2_c4.dat b/calib_data/_calib_data/calib2024-12-17_p2_c4.dat new file mode 100644 index 0000000..c0c6df6 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p2_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48391.63 19027.42 25980.61 23.2064493 +50533.61 17754.93 24220.21 11.5475231 +52724.50 13477.1 18122.39 1.53267413 +54614.51 11533.86 15378.35 2.70832974 +56498.44 9904.34 13112.61 0.915254063 +58395.65 8592.63 11304.82 0.354344465 +60278.42 7477.62 9788.25 0.351639019 +62163.62 6552.8 8532.72 0.386471215 +64048.43 5775.08 7490.09 0.422953898 +66004.52 5162.27 6671.75 0.291633331 +67901.61 4571.811 5896.02 0.71704951 +69792.62 4068.149 5229.18 0.267507009 +71683.62 3639.436 4664.203 0.0786136121 +73574.52 3264.949 4172.923 0.050814368 +75475.64 2933.241 3740.034 0.0487483333 +77404.49 2638.496 3357.01 0.0607782856 +79304.50 2386.876 3031.05 0.0704840407 +81204.63 2167.379 2747.215 0.0850088231 +83105.68 1972.646 2496.174 0.03516248 +85002.61 1799.28 2274.112 0.0743881711 +86904.50 1646.331 2078.302 0.0645569516 +88813.63 1511.742 1907.311 0.0459227612 +90718.43 1386.664 1748.388 0.0946762906 +92634.49 1273.355 1604.85 0.0596824932 +94565.81 1171.606 1475.782 0.0361054013 +96512.62 1079.309 1359.868 0.0313623979 +98475.83 996.131 1255.674 0.0236304888 +100433.63 916.631 1156.536 0.0206494552 +102404.48 845.75 1068.595 0.0143701079 +104428.42 779.158 986.352 0.0211565593 +106478.43 720.287 913.84 0.0224053565 +108572.64 663.178 843.766 0.0181769084 +110697.44 610.919 779.741 0.0191023559 +112895.81 563.149 721.419 0.0200224874 +115174.50 519.682 668.329 0.0156492811 +117534.52 477.6281 617.378 0.0250119971 +120008.41 439.0924 570.425 0.0351923287 +122581.58 403.862 527.524 0.030665942 +125284.64 371.0867 487.3705 0.00742866071 +128207.41 340.9646 450.5415 0.00678269858 +131505.79 312.8974 416.1514 0.00586037541 +134954.52 286.9853 384.2944 0.00663053542 +139923.62 262.6956 354.2421 0.00777232269 +143673.48 241.2451 327.6014 0.00580379186 +147575.82 220.9577 302.2521 0.00657183384 +151555.64 202.2791 278.752 0.00863249674 +155608.42 185.3463 257.2643 0.00642658541 +159674.52 169.2268 236.6847 0.00810561534 +163883.62 154.2231 217.4353 0.00564809702 +168084.51 140.5815 199.7069 0.012391489 +172288.42 128.1893 183.4307 0.00779236806 +176569.44 116.955 168.5338 0.00798348295 +180854.58 106.2816 154.1906 0.00225033331 +185055.80 96.8372 141.4317 0.00211683726 +189255.66 88.0699 129.4662 0.00261074702 +193458.44 80.3963 118.8863 0.0016065491 +197584.61 73.1919 108.8425 0.00173349358 +201785.68 65.3637 97.8253 0.00245377261 +205161.62 62.3205 93.4966 0.00353327044 +207933.63 60.7164 91.1969 0.00126055543 diff --git a/calib_data/_calib_data/calib2024-12-17_p2_c5.dat b/calib_data/_calib_data/calib2024-12-17_p2_c5.dat new file mode 100644 index 0000000..52b1303 --- /dev/null +++ b/calib_data/_calib_data/calib2024-12-17_p2_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48482.63 18979.94 18698.13 12.7764318 +50624.49 17758.22 17626.37 16.11701 +52815.66 13475.68 13415.34 0.761078183 +54705.66 11540.79 11529.39 0.609663842 +56588.43 9902 9930.26 0.3228622 +58486.45 8591.66 8656.05 0.301081384 +60368.41 7479.12 7569.88 0.354626564 +62254.51 6552.61 6659.79 0.356216226 +64138.43 5774.2 5895.4 0.320936131 +66095.64 5162.25 5290.91 0.229543024 +67992.61 4572.552 4713.249 0.754597177 +69883.58 4066.937 4207.407 0.314385273 +71774.51 3639.712 3781.555 0.202673383 +73665.68 3264.64 3405.275 0.0915887548 +75566.45 2933.221 3071.282 0.0975991803 +77495.65 2638.451 2773.562 0.0811270608 +79395.67 2386.979 2518.396 0.0645476568 +81295.63 2167.366 2294.747 0.0961670422 +83196.48 1972.417 2095.58 0.0394968353 +85093.61 1799.116 1917.866 0.0634854314 +86995.78 1646.249 1760.797 0.0859307861 +88904.51 1511.748 1622.759 0.0853399086 +90808.43 1386.706 1492.995 0.0228144691 +92725.65 1273.316 1375.771 0.0156492811 +94656.45 1171.601 1270.5 0.0272763634 +96603.62 1079.307 1174.802 0.0203371581 +98566.47 996.137 1088.597 0.0190814046 +100524.51 916.614 1006.092 0.0205815451 +102495.80 845.74 932.517 0.0200524313 +104518.46 779.14 863.446 0.0241743666 +106568.43 720.269 802.281 0.013960659 +108663.60 663.194 742.918 0.0238243573 +110788.45 610.851 688.501 0.0171143215 +112986.41 563.15 638.745 0.0200624026 +115265.79 519.637 593.253 0.0184418003 +117625.84 477.5923 549.487 0.0254578082 +120098.45 439.0587 508.986 0.019193749 +122672.62 403.8172 471.646 0.0103295692 +125375.83 371.0449 436.9228 0.00697538529 +128298.45 340.9194 404.8391 0.00983509024 +131596.43 312.8316 374.7935 0.0077772103 +135045.84 286.9262 346.8612 0.00783428363 +140014.50 262.6685 320.504 0.0059126982 +143763.48 241.2011 296.9816 0.00709112121 +147666.46 220.9175 274.584 0.00475394573 +151646.44 202.2353 253.7553 0.00690659105 +155698.42 185.2959 234.6953 0.00516536543 +159765.64 169.1812 216.371 0.00628808397 +163973.61 154.1817 199.1664 0.00819292378 +168175.64 140.5395 183.3262 0.00747903737 +172378.42 128.1539 168.748 0.00872467764 +176660.60 116.9232 155.2945 0.00245865817 +180945.66 106.2489 142.4253 0.00320327957 +185146.44 96.8114 130.9027 0.00253001976 +189346.46 88.0485 120.0767 0.00207870152 +193548.44 80.3763 110.4926 0.00315023809 +197675.66 73.1754 101.3761 0.00150632002 +201876.45 65.3477 91.3434 0.00302059597 +205252.62 62.307 87.3994 0.00167451486 +208024.63 60.7072 85.311 0.00166132477 diff --git a/calib_data/_calib_data/calib_2021-05-04.txt b/calib_data/_calib_data/calib_2021-05-04.txt new file mode 100644 index 0000000..016f4b0 --- /dev/null +++ b/calib_data/_calib_data/calib_2021-05-04.txt @@ -0,0 +1,932 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 33797.96 10541.46 0.142267354 1.38 +2 33804.99 32620.24 6.55925606 1.38 +4 33799.47 22597.41 1.88830347 1.38 +5 33789.71 25499.35 0.411400049 1.38 +6 33793.36 5197.125 0.225970131 1.38 +1 33792.02 10539.51 0.21234406 1.38 +2 33791.67 32622.36 1.81092242 1.38 +4 33790.97 22590.7 0.516913919 1.38 +5 33789.08 25494.74 0.772554205 1.38 +6 33789.76 5195.701 0.0923845225 1.38 +1 33787.26 10537.79 0.0830060239 1.38 +2 33786.79 32611.77 2.85300018 1.38 +4 33777.56 22584.54 1.17772662 1.38 +5 33773.38 25487.9 0.910384534 1.38 +6 33781.41 5193.753 0.182740526 1.38 +1 31063.05 9815.2 0.424264069 1.42 +2 31043.63 29772.07 6.21417814 1.42 +4 31023.28 20745.57 1.2739741 1.42 +5 31012.66 23356.9 0.493963561 1.42 +6 31019.2 4819.495 0.218028668 1.42 +1 31026.59 9802.43 0.464983871 1.42 +2 31037.07 29771.28 3.92328434 1.42 +4 31057.38 20770.01 0.621522325 1.42 +5 31073.35 23402.52 0.479124201 1.42 +6 31086.25 4828.776 0.170371359 1.42 +1 31094.3 9820.24 0.133566463 1.42 +2 31095.82 29837.63 1.12907484 1.42 +4 31098.04 20795.37 0.288114561 1.42 +5 31097.24 23417.25 1.64025913 1.42 +6 31093.25 4830.296 0.194412963 1.42 +1 26417.39 8555.57 0.246190983 1.51 +2 26414.5 25067.67 1.4017168 1.51 +4 26410.76 17682.51 0.337475925 1.51 +5 26406.06 19825.1 0.987218314 1.51 +6 26403.75 4189.613 0.165807418 1.51 +1 26387.27 8550.27 0.244560831 1.51 +2 26397.19 25053.16 2.85360123 1.51 +4 26393.78 17670.36 0.437081228 1.51 +5 26386.84 19812.22 0.438360582 1.51 +6 26384.47 4187.35 0.158328772 1.51 +1 26385.97 8545.95 0.215522621 1.51 +2 26380.89 25029.66 5.56915074 1.51 +4 26378.57 17663.1 1.70440605 1.51 +5 26376.87 19800.31 1.2291013 1.51 +6 26374.78 4185.591 0.138379551 1.51 +1 21149.79 7092.57 0.669484877 1.66 +2 21149.15 19805.26 2.04930232 1.66 +4 21146.62 14195.46 0.775912366 1.66 +5 21147.5 15829.68 0.622543171 1.66 +6 21145.67 3456.665 0.112305387 1.66 +1 21141.49 7091.29 0.226914081 1.66 +2 21139.94 19801.36 1.56755861 1.66 +4 21143.26 14191.76 0.725699662 1.66 +5 21148.66 15825.64 0.54114693 1.66 +6 21149.92 3456.015 0.147249788 1.66 +1 21136.05 7089.69 0.163370744 1.66 +2 21137.28 19795.35 1.34009328 1.66 +4 21140.12 14188.8 0.494368284 1.66 +5 21141.31 15821.22 1.05818713 1.66 +6 21139.74 3455.552 0.142645014 1.66 +1 17253.26 5976.82 0.311384007 1.82 +2 17256.65 15980.69 0.631735704 1.82 +4 17256.55 11624.9 0.33763886 1.82 +5 17251.45 12899.36 0.87157329 1.82 +6 17250.52 2899.505 0.11283838 1.82 +1 17252.81 5976.68 0.150864177 1.82 +2 17252.09 15978.71 0.50940161 1.82 +4 17250.27 11623.33 0.496799758 1.82 +5 17247.35 12897.09 0.710415371 1.82 +6 17251.17 2899.029 0.150322653 1.82 +1 17246.91 5975.93 0.255362487 1.82 +2 17249.34 15974.62 2.31718795 1.82 +4 17252.84 11622.04 0.623089079 1.82 +5 17251.47 12895.83 0.428030373 1.82 +6 17250.54 2898.845 0.0667720001 1.82 +1 14312.93 5113.89 0.311592683 1.99 +2 14313.2 13152.86 0.20697826 1.99 +4 14314.12 9691.85 0.18069311 1.99 +5 14313.99 10707.98 0.306855015 1.99 +6 14313.69 2470.143 0.0483332184 1.99 +1 14314.73 5113.45 0.262773667 1.99 +2 14313.56 13150.97 0.568339687 1.99 +4 14313.24 9691.15 0.182345825 1.99 +5 14312.55 10706.49 0.489377155 1.99 +6 14312.7 2470.089 0.0378272389 1.99 +1 14312.27 5113.3 0.269443872 1.99 +2 14311.77 13150.79 0.351695891 1.99 +4 14312.34 9690.72 0.15861904 1.99 +5 14312.24 10706.37 0.309531905 1.99 +6 14311.43 2470.021 0.0331798131 1.99 +1 11942.62 4393.285 0.132213842 2.18 +2 11942.64 10895.96 0.36991891 2.18 +4 11941.44 8127.77 0.0906090503 2.18 +5 11941.29 8942.54 0.462428373 2.18 +6 11941.44 2114.487 0.023960384 2.18 +1 11942.42 4392.935 0.117942783 2.18 +2 11942.05 10896.09 0.212814473 2.18 +4 11940.91 8127.46 0.137258879 2.18 +5 11940.23 8942.95 0.125896783 2.18 +6 11940.47 2114.428 0.0389820471 2.18 +1 11941.26 4392.853 0.152650254 2.18 +2 11941.63 10895.43 0.567635446 2.18 +4 11941.41 8126.77 0.207870152 2.18 +5 11940.16 8942.16 0.102176318 2.18 +6 11939.33 2114.418 0.0401447381 2.18 +1 10052.34 3805.626 0.0461995671 2.39 +2 10052.08 9123.01 0.661279064 2.39 +4 10052.6 6881.48 0.314261038 2.39 +5 10053.01 7543.95 0.128257553 2.39 +6 10052.47 1824.744 0.0262754638 2.39 +1 10053.49 3805.485 0.109061909 2.39 +2 10052.62 9121.53 0.599674912 2.39 +4 10051.45 6881.64 0.260844781 2.39 +5 10051.89 7543.48 0.122311079 2.39 +6 10051.88 1824.875 0.0259711378 2.39 +1 10052.08 3805.473 0.0714009804 2.39 +2 10051.86 9121.31 0.576792857 2.39 +4 10051.91 6881.19 0.129961533 2.39 +5 10051.68 7543.37 0.0648845128 2.39 +6 10052.01 1824.999 0.0269981481 2.39 +1 8541 3322.985 0.0673832323 2.62 +2 8541.13 7718.23 0.174957138 2.62 +4 8540.26 5883.45 0.0696419414 2.62 +5 8540.18 6427.49 0.0607453702 2.62 +6 8540.93 1587.874 0.0671892849 2.62 +1 8540.82 3323 0.0509116882 2.62 +2 8540.64 7718.14 0.140142784 2.62 +4 8540.33 5883.42 0.0784856675 2.62 +5 8539.9 6427.25 0.0961769203 2.62 +6 8540.42 1587.882 0.0768609133 2.62 +1 8541.34 3322.902 0.130382514 2.62 +2 8541.14 7718.46 0.275390632 2.62 +4 8540.12 5883.14 0.032249031 2.62 +5 8539.88 6427.18 0.0987927123 2.62 +6 8540.47 1587.964 0.0565720779 2.62 +1 7287.85 2913.337 0.0428263937 2.88 +2 7287.39 6567.1 0.25019992 2.88 +4 7286.77 5055.44 0.0428952212 2.88 +5 7286.93 5505.07 0.0401248053 2.88 +6 7288.05 1387.57 0.0378153408 2.88 +1 7287.98 2913.31 0.048846699 2.88 +2 7287.41 6568.13 0.838218349 2.88 +4 7286.96 5055.25 0.0552268051 2.88 +5 7287.09 5505.01 0.0537587202 2.88 +6 7287.69 1387.487 0.0923152208 2.88 +1 7287.98 2913.252 0.058237445 2.88 +2 7287.24 6567.73 0.604491522 2.88 +4 7286.61 5055.2 0.0774596669 2.88 +5 7286.87 5504.95 0.0514781507 2.88 +6 7287.8 1387.526 0.0734874139 2.88 +1 6320.03 2589.386 0.128687218 3.15 +2 6319.86 5685.92 0.096747093 3.15 +4 6320.07 4413.432 0.230806412 3.15 +5 6320.75 4792.824 0.195142 3.15 +6 6320.77 1229.907 0.0302009934 3.15 +1 6320.19 2589.446 0.059045745 3.15 +2 6319.7 5686.06 0.0737563557 3.15 +4 6320.2 4413.414 0.202174182 3.15 +5 6321.05 4792.831 0.170824179 3.15 +6 6320.7 1229.888 0.0508291255 3.15 +1 6320.04 2589.42 0.0868792265 3.15 +2 6319.56 5685.53 0.370418682 3.15 +4 6320.11 4413.449 0.189923406 3.15 +5 6321.08 4792.812 0.186170889 3.15 +6 6320.93 1229.949 0.0491823139 3.15 +1 5482.8 2302.912 0.0598798798 3.46 +2 5483.17 4927.778 0.204561971 3.46 +4 5482.93 3857.925 0.157640414 3.46 +5 5482.5 4178.184 0.172291613 3.46 +6 5482.55 1090.736 0.0510333224 3.46 +1 5481.68 2302.737 0.129499421 3.46 +2 5482.26 4927.613 0.205134346 3.46 +4 5482.73 3857.895 0.159318863 3.46 +5 5482.65 4178.139 0.186469569 3.46 +6 5482.65 1090.721 0.0837072279 3.46 +1 5481.57 2302.733 0.114952599 3.46 +2 5482.24 4927.57 0.263594385 3.46 +4 5482.91 3857.878 0.160204869 3.46 +5 5482.71 4178.024 0.187190812 3.46 +6 5482.62 1090.809 0.0213752193 3.46 +1 4803.46 2066.969 0.0532249941 3.79 +2 4803.525 4321.569 0.121321474 3.79 +4 4803.689 3408.853 0.0628816348 3.79 +5 4803.688 3682.926 0.0358385268 3.79 +6 4803.668 976.544 0.00737563557 3.79 +1 4803.641 2066.97 0.0553353413 3.79 +2 4803.574 4321.601 0.0591853022 3.79 +4 4803.724 3408.886 0.033322665 3.79 +5 4803.529 3682.892 0.0320873807 3.79 +6 4803.564 976.64 0.0220454077 3.79 +1 4803.631 2066.967 0.056445549 3.79 +2 4803.505 4321.518 0.105724169 3.79 +4 4803.69 3408.855 0.016263456 3.79 +5 4803.693 3682.907 0.0312105751 3.79 +6 4803.64 976.547 0.0608120054 3.79 +1 4222.433 1860.008 0.0753498507 4.16 +2 4222.351 3804 0.0546260011 4.16 +4 4222.298 3022.005 0.0459836928 4.16 +5 4222.338 3257.468 0.0252507426 4.16 +6 4222.265 876.71 0.0092736185 4.16 +1 4222.398 1859.997 0.0547549085 4.16 +2 4222.267 3804.007 0.0527076844 4.16 +4 4222.338 3021.981 0.0455291116 4.16 +5 4222.397 3257.473 0.0217738375 4.16 +6 4222.4 876.737 0.0261553054 4.16 +1 4222.285 1859.958 0.0407627281 4.16 +2 4222.213 3803.962 0.0388278251 4.16 +4 4222.354 3021.889 0.0385084406 4.16 +5 4222.243 3257.371 0.0388960152 4.16 +6 4222.26 876.641 0.0596565168 4.16 +1 3738.338 1684.37 0.0344963766 4.56 +2 3738.466 3375.659 0.0352264105 4.56 +4 3738.504 2699.294 0.0123450395 4.56 +5 3738.371 2903.439 0.0307066768 4.56 +6 3738.39 792.17 0.00916515139 4.56 +1 3738.411 1684.367 0.0323125363 4.56 +2 3738.336 3375.586 0.0792237338 4.56 +4 3738.441 2699.24 0.0214009346 4.56 +5 3738.358 2903.468 0.0272690301 4.56 +6 3738.42 792.193 0.00583952053 4.56 +1 3738.413 1684.352 0.0329484446 4.56 +2 3738.309 3375.569 0.0697918333 4.56 +4 3738.442 2699.224 0.032409875 4.56 +5 3738.39 2903.473 0.0108673824 4.56 +6 3738.265 792.177 0.0264215821 4.56 +1 3327.233 1531.806 0.0458955336 5.00 +2 3327.245 3013.555 0.0297405447 5.00 +4 3326.91 2424.3 0.03082207 5.00 +5 3326.807 2602.639 0.0278010791 5.00 +6 3326.824 719.249 0.0215615398 5.00 +1 3327.166 1531.784 0.058089586 5.00 +2 3327.147 3013.429 0.0759927628 5.00 +4 3326.947 2424.304 0.0185040536 5.00 +5 3326.909 2602.595 0.0247487373 5.00 +6 3326.874 719.275 0.0301081384 5.00 +1 3327.177 1531.766 0.0605508051 5.00 +2 3327.137 3013.448 0.0457558739 5.00 +4 3326.979 2424.264 0.0173320512 5.00 +5 3326.917 2602.568 0.0270111088 5.00 +6 3326.793 719.195 0.0526735228 5.00 +1 2975.417 1399.785 0.0449054562 5.48 +2 2975.479 2705.422 0.0324899985 5.48 +4 2975.223 2188.839 0.0205158475 5.48 +5 2975.147 2345.577 0.0128101522 5.48 +6 2975.178 656.021 0.0258631011 5.48 +1 2975.523 1399.777 0.0424746984 5.48 +2 2975.479 2705.384 0.0310225724 5.48 +4 2975.176 2188.752 0.0231430335 5.48 +5 2975.117 2345.518 0.0350085704 5.48 +6 2975.133 656.003 0.0116661905 5.48 +1 2975.371 1399.766 0.0425487955 5.48 +2 2975.346 2705.384 0.0319749902 5.48 +4 2975.18 2188.764 0.0201096992 5.48 +5 2975.154 2345.5 0.0395727179 5.48 +6 2975.172 656.022 0.0474510274 5.48 +1 2670.613 1283.544 0.0448374843 6.01 +2 2670.679 2439.637 0.0503398451 6.01 +4 2670.485 1984.272 0.0363813139 6.01 +5 2670.369 2122.788 0.0264121184 6.01 +6 2670.325 600.304 0.0500839296 6.01 +1 2670.685 1283.527 0.0405721579 6.01 +2 2670.631 2439.632 0.0365458616 6.01 +4 2670.448 1984.283 0.0140748002 6.01 +5 2670.387 2122.801 0.0175185616 6.01 +6 2670.245 600.325 0.0106066017 6.01 +1 2670.701 1283.515 0.0508773034 6.01 +2 2670.699 2439.645 0.0353906767 6.01 +4 2670.507 1984.263 0.0310499597 6.01 +5 2670.537 2122.812 0.0120664825 6.01 +6 2670.463 600.323 0.00317804972 6.01 +1 2407.501 1181.635 0.0395537609 6.59 +2 2407.514 2211.16 0.0354118624 6.59 +4 2407.33 1807.377 0.0112294256 6.59 +5 2407.282 1930.447 0.0328039632 6.59 +6 2407.281 551.749 0.0363166628 6.59 +1 2407.564 1181.616 0.0414777049 6.59 +2 2407.538 2211.231 0.0247971773 6.59 +4 2407.315 1807.358 0.0405166632 6.59 +5 2407.233 1930.466 0.0517532608 6.59 +6 2407.234 551.718 0.00660302961 6.59 +1 2407.577 1181.641 0.034159918 6.59 +2 2407.543 2211.118 0.0975684375 6.59 +4 2407.342 1807.384 0.0101192885 6.59 +5 2407.279 1930.488 0.0215313725 6.59 +6 2407.299 551.74 0.0223159136 6.59 +1 2176.539 1090.886 0.0429231872 7.23 +2 2176.629 2011.396 0.0414535885 7.23 +4 2176.499 1651.761 0.0231279052 7.23 +5 2176.403 1761.659 0.0117004273 7.23 +6 2176.362 508.474 0.0447928566 7.23 +1 2176.575 1090.866 0.0409926823 7.23 +2 2176.524 2011.343 0.0280017857 7.23 +4 2176.337 1651.796 0.0250679078 7.23 +5 2176.309 1761.605 0.0253475837 7.23 +6 2176.339 508.574 0.0401297894 7.23 +1 2176.504 1090.878 0.0352363449 7.23 +2 2176.438 2011.347 0.037577919 7.23 +4 2176.347 1651.764 0.00737563557 7.23 +5 2176.333 1761.63 0.0134164079 7.23 +6 2176.27 508.521 0.00953414915 7.23 +1 1977.083 1011.355 0.0437778483 7.92 +2 1977.067 1839.302 0.0254479862 7.92 +4 1977.169 1516.476 0.0664710463 7.92 +5 1977.111 1615.731 0.0253948814 7.92 +6 1976.963 473.0041 0.13714543 7.92 +1 1977.093 1011.359 0.0351695891 7.92 +2 1976.983 1839.216 0.0655316717 7.92 +4 1977.056 1516.454 0.0709675982 7.92 +5 1977.053 1615.715 0.02182888 7.92 +6 1976.963 472.2053 0.780412827 7.92 +1 1977.077 1011.349 0.0353397793 7.92 +2 1976.997 1839.259 0.0246758992 7.92 +4 1977.111 1516.456 0.0686760511 7.92 +5 1977.063 1615.748 0.0171930218 7.92 +6 1977.113 473.0016 0.130905936 7.92 +1 1799.571 939.584 0.0348769265 8.69 +2 1799.332 1686.471 0.0214685817 8.69 +4 1799.425 1396.234 0.0503030814 8.69 +5 1799.66 1485.109 0.0677266565 8.69 +6 1799.716 437.5149 1.44192411 8.69 +1 1799.356 939.559 0.0411934461 8.69 +2 1799.263 1686.445 0.0136565003 8.69 +4 1799.35 1396.178 0.0654033638 8.69 +5 1799.601 1485.11 0.0632929696 8.69 +6 1799.549 439.0616 0.0344151711 8.69 +1 1799.345 939.559 0.0322629819 8.69 +2 1799.246 1686.421 0.0221110832 8.69 +4 1799.385 1396.183 0.063844342 8.69 +5 1799.746 1485.1 0.059749477 8.69 +6 1799.662 439.0642 0.0370488326 8.69 +1 1641.705 875.034 0.0254243977 9.53 +2 1641.89 1550.62 0.0740405294 9.53 +4 1641.946 1289.21 0.0592958683 9.53 +5 1641.932 1369.574 0.0562352203 9.53 +6 1642.072 408.5401 0.0546965173 9.53 +1 1641.649 875.023 0.0273514168 9.53 +2 1641.874 1550.583 0.0831029482 9.53 +4 1641.98 1289.209 0.0533000938 9.53 +5 1641.937 1369.577 0.0549190313 9.53 +6 1641.797 407.7763 0.693271708 9.53 +1 1641.62 875 0.0323419233 9.53 +2 1641.8 1550.574 0.0772554205 9.53 +4 1641.923 1289.186 0.0533704038 9.53 +5 1641.909 1369.569 0.0495065652 9.53 +6 1641.875 407.2721 1.18976338 9.53 +1 1507.527 819.767 0.00748999332 10.40 +2 1507.55 1436.362 0.0365184885 10.40 +4 1507.583 1198.466 0.0156971335 10.40 +5 1507.566 1271.732 0.0148862353 10.40 +6 1507.595 382.3789 0.0578790895 10.40 +1 1507.572 819.766 0.00750999334 10.40 +2 1507.54 1436.352 0.0283478394 10.40 +4 1507.543 1198.449 0.00654980916 10.40 +5 1507.523 1271.706 0.0147783626 10.40 +6 1507.54 382.3614 0.0853867905 10.40 +1 1507.539 819.761 0.00984377976 10.40 +2 1507.512 1436.332 0.0159874951 10.40 +4 1507.57 1198.428 0.00822192192 10.40 +5 1507.564 1271.701 0.0184092368 10.40 +6 1507.568 382.3434 0.0984840292 10.40 +1 1370.317 762.066 0.00764198927 11.50 +2 1370.346 1318.884 0.0295702553 11.50 +4 1370.373 1104.68 0.00989949494 11.50 +5 1370.349 1170.785 0.0185607112 11.50 +6 1370.362 355.3192 0.0367983152 11.50 +1 1370.333 762.066 0.00695701085 11.50 +2 1370.348 1318.859 0.0285464534 11.50 +4 1370.388 1104.663 0.0187109594 11.50 +5 1370.35 1170.77 0.0147648231 11.50 +6 1370.33 354.369 0.850207716 11.50 +1 1370.36 762.062 0.00675277721 11.50 +2 1370.346 1318.889 0.01126499 11.50 +4 1370.351 1104.659 0.0201221271 11.50 +5 1370.331 1170.764 0.015504838 11.50 +6 1370.314 355.2462 0.0317719373 11.50 +1 1258.674 714.449 0.00555877684 12.60 +2 1258.698 1223.295 0.0262392835 12.60 +4 1258.72 1028.03 0.0160623784 12.60 +5 1258.713 1088.393 0.0177228666 12.60 +6 1258.733 333.0215 0.0943864662 12.60 +1 1258.722 714.459 0.0113534136 12.60 +2 1258.697 1223.277 0.0225410736 12.60 +4 1258.709 1028.02 0.0116619038 12.60 +5 1258.707 1088.376 0.0175613211 12.60 +6 1258.713 333.0057 0.01249964 12.60 +1 1258.688 714.435 0.00738241153 12.60 +2 1258.678 1223.266 0.0210333069 12.60 +4 1258.701 1028.012 0.0166012048 12.60 +5 1258.683 1088.38 0.006164414 12.60 +6 1258.683 332.6749 0.283562919 12.60 +1 1158.073 670.93 0.006 13.80 +2 1158.069 1137.039 0.0167600716 13.80 +4 1158.091 958.6 0.0106770783 13.80 +5 1158.098 1013.844 0.0129769026 13.80 +6 1158.146 312.501 0.0413448909 13.80 +1 1158.101 670.923 0.00617251974 13.80 +2 1158.076 1137.017 0.0266852019 13.80 +4 1158.105 958.608 0.00997997996 13.80 +5 1158.082 1013.845 0.0157003185 13.80 +6 1158.055 312.4465 0.0879350044 13.80 +1 1158.092 670.921 0.00727323862 13.80 +2 1158.07 1137 0.0321558704 13.80 +4 1158.087 958.593 0.0113181271 13.80 +5 1158.074 1013.835 0.0121860576 13.80 +6 1158.103 312.4546 0.0491129718 13.80 +1 1067.549 631.206 0.00940212742 15.10 +2 1067.581 1059.265 0.0184526421 15.10 +4 1067.616 895.759 0.00876926451 15.10 +5 1067.601 946.464 0.0128218563 15.10 +6 1067.582 291.7642 1.93884051 15.10 +1 1067.574 631.19 0.006164414 15.10 +2 1067.561 1059.25 0.0092736185 15.10 +4 1067.591 895.742 0.0118152444 15.10 +5 1067.573 946.45 0.0122474487 15.10 +6 1067.607 293.7607 0.126309544 15.10 +1 1067.564 631.181 0.00573585216 15.10 +2 1067.539 1059.225 0.0166883193 15.10 +4 1067.553 895.72 0.00989949494 15.10 +5 1067.539 946.428 0.016235763 15.10 +6 1067.514 293.7774 0.0891367713 15.10 +1 980.8 592.48 0.00447213595 16.60 +2 980.824 984.4 0.0092736185 16.60 +4 980.846 835.037 0.00980306075 16.60 +5 980.807 881.437 0.015036622 16.60 +6 980.814 275.1771 0.506487758 16.60 +1 980.797 592.486 0.00635609943 16.60 +2 980.779 984.371 0.022425432 16.60 +4 980.793 835.024 0.0125059986 16.60 +5 980.789 881.42 0.0114891253 16.60 +6 980.782 275.7726 0.0645442794 16.60 +1 980.734 592.473 0.00470106371 16.60 +2 980.777 984.358 0.0218082553 16.60 +4 980.794 835.016 0.00896660471 16.60 +5 980.781 881.412 0.0101784085 16.60 +6 980.752 275.6836 0.0311008682 16.60 +1 903.78 557.514 0.00352136337 18.20 +2 903.792 917.593 0.0167958328 18.20 +4 903.797 780.659 0.0088825672 18.20 +5 903.786 823.264 0.0138708327 18.20 +6 903.814 258.0684 1.19365279 18.20 +1 903.768 557.51 0.00509901951 18.20 +2 903.751 917.572 0.0209666402 18.20 +4 903.781 780.637 0.0148357676 18.20 +5 903.776 823.246 0.0127436259 18.20 +6 903.775 259.3163 0.0420968051 18.20 +1 903.77 557.51 0.00547722558 18.20 +2 903.755 917.566 0.0163217646 18.20 +4 903.756 780.627 0.0158145503 18.20 +5 903.737 823.238 0.0141985915 18.20 +6 903.757 257.3691 1.80725863 18.20 +1 835.089 525.725 0.00494974747 19.90 +2 835.049 857.566 0.0109726934 19.90 +4 835.065 731.603 0.0163737595 19.90 +5 835.046 770.862 0.013326665 19.90 +6 835.036 244.3235 0.165689967 19.90 +1 835.031 525.721 0.00537587202 19.90 +2 835.025 857.54 0.022 19.90 +4 835.045 731.596 0.0106957936 19.90 +5 835.043 770.854 0.0119331471 19.90 +6 835.075 242.6741 1.68670445 19.90 +1 835.028 525.718 0.0054405882 19.90 +2 835.016 857.542 0.0144083309 19.90 +4 835.03 731.591 0.00607453702 19.90 +5 835.017 770.846 0.00764198927 19.90 +6 835.028 243.5942 0.799428631 19.90 +1 770.367 495.0206 0.0247871741 21.80 +2 770.335 800.53 0.0116619038 21.80 +4 770.265 684.829 0.00805605362 21.80 +5 770.246 720.938 0.00797496081 21.80 +6 770.208 228.4287 1.70070282 21.80 +1 770.331 495.0135 0.0226403401 21.80 +2 770.332 800.509 0.0194653538 21.80 +4 770.259 684.822 0.00340587727 21.80 +5 770.239 720.917 0.00906090503 21.80 +6 770.212 230.2301 0.0250924092 21.80 +1 770.324 495.0032 0.0208704576 21.80 +2 770.322 800.513 0.00490917508 21.80 +4 770.243 684.817 0.00246981781 21.80 +5 770.228 720.907 0.00894986033 21.80 +6 770.226 230.2542 0.00279928562 21.80 +1 710.124 466.0148 0.0193730741 23.90 +2 710.128 746.967 0.00617251974 23.90 +4 710.059 640.759 0.0108120303 23.90 +5 710.036 673.954 0.0116790411 23.90 +6 710.075 216.6361 0.0882977293 23.90 +1 710.111 466.001 0.0188074453 23.90 +2 710.108 746.936 0.0183956517 23.90 +4 710.027 640.748 0.00660302961 23.90 +5 710.024 673.94 0.0124096736 23.90 +6 710.038 216.6241 0.117018413 23.90 +1 710.084 465.9991 0.0191046853 23.90 +2 710.089 746.93 0.0170293864 23.90 +4 710.023 640.738 0.0127906216 23.90 +5 710.012 673.928 0.00914330356 23.90 +6 710.034 216.6656 0.0448350756 23.90 +1 654.399 438.571 0.0171201636 26.20 +2 654.435 696.867 0.00970051545 26.20 +4 654.377 599.397 0.00980306075 26.20 +5 654.361 629.903 0.0120871833 26.20 +6 654.384 204.0478 0.0579642649 26.20 +1 654.415 438.5568 0.0204356551 26.20 +2 654.423 696.843 0.013118689 26.20 +4 654.366 599.392 0.0092520268 26.20 +5 654.34 629.9 0.0111355287 26.20 +6 654.286 203.88 0.0659414892 26.20 +1 654.421 438.5534 0.0199920984 26.20 +2 654.411 696.842 0.00758946638 26.20 +4 654.341 599.389 0.00434741302 26.20 +5 654.332 629.885 0.0112472219 26.20 +6 654.335 203.8929 0.0438192766 26.20 +1 601.376 411.7936 0.0155294559 28.80 +2 601.413 648.54 0.0114891253 28.80 +4 601.357 559.363 0.00938616002 28.80 +5 601.351 587.325 0.00751664819 28.80 +6 601.325 191.4474 0.0366175368 28.80 +1 601.414 411.7789 0.0193661819 28.80 +2 601.412 648.522 0.0113841996 28.80 +4 601.352 559.348 0.00340587727 28.80 +5 601.341 587.308 0.0112071406 28.80 +6 601.309 191.2514 0.200693657 28.80 +1 601.396 411.7737 0.0177003107 28.80 +2 601.402 648.496 0.0149130815 28.80 +4 601.335 559.333 0.0114061387 28.80 +5 601.318 587.291 0.0097416631 28.80 +6 601.326 191.4558 0.0137940567 28.80 +1 554.846 387.7042 0.0155767776 31.50 +2 554.923 605.54 0.0195959179 31.50 +4 554.861 523.629 0.0097416631 31.50 +5 554.86 549.359 0.0102420701 31.50 +6 554.903 180.2733 0.0541564493 31.50 +1 554.918 387.6894 0.0166530478 31.50 +2 554.91 605.524 0.0124257797 31.50 +4 554.851 523.605 0.012349089 31.50 +5 554.84 549.341 0.0105309069 31.50 +6 554.818 175.0729 3.12124693 31.50 +1 554.896 387.6855 0.0136288297 31.50 +2 554.893 605.527 0.00448330235 31.50 +4 554.836 523.605 0.00353553391 31.50 +5 554.825 549.326 0.0108811764 31.50 +6 554.84 180.1051 0.151234484 31.50 +1 509.913 363.7284 0.0157208142 34.60 +2 509.84 563.235 0.0115974135 34.60 +4 509.854 488.2122 0.0241718018 34.60 +5 509.852 511.911 0.0101439637 34.60 +6 509.799 169.2036 0.086988413 34.60 +1 509.816 363.7143 0.0183488692 34.60 +2 509.817 563.223 0.0110498869 34.60 +4 509.849 488.2082 0.0200343705 34.60 +5 509.842 511.893 0.0142863571 34.60 +6 509.794 169.096 0.0175647374 34.60 +1 509.815 363.7081 0.016431342 34.60 +2 509.81 563.204 0.0128218563 34.60 +4 509.817 488.1894 0.0240562674 34.60 +5 509.813 511.889 0.0097416631 34.60 +6 509.759 169.081 0.0178874258 34.60 +1 469.1473 341.6467 0.00180027776 37.90 +2 469.1324 524.72 0.0267207784 37.90 +4 469.1471 455.9403 0.00962086275 37.90 +5 469.1744 477.5589 0.00961296 37.90 +6 469.1388 158.0176 0.112442625 37.90 +1 469.137 341.6371 0.002790878 37.90 +2 469.12 524.706 0.0225477272 37.90 +4 469.1339 455.9299 0.00879482803 37.90 +5 469.1581 477.5472 0.00812132994 37.90 +6 469.1326 157.7278 0.142867967 37.90 +1 469.139 341.6298 0.00313304963 37.90 +2 469.1047 524.687 0.0156236999 37.90 +4 469.1122 455.9193 0.00789816434 37.90 +5 469.1398 477.5361 0.00954719854 37.90 +6 469.1045 154.7936 0.894227479 37.90 +1 430.7889 320.1373 0.00358901101 41.60 +2 430.8079 487.386 0.0112267538 41.60 +4 430.8212 424.7705 0.00936936497 41.60 +5 430.8185 444.5418 0.010101287 41.60 +6 430.7701 146.6828 0.802553859 41.60 +1 430.7962 320.136 0.00431277173 41.60 +2 430.8004 487.3742 0.0127646387 41.60 +4 430.8152 424.7653 0.00938621329 41.60 +5 430.8058 444.5342 0.00827985507 41.60 +6 430.7739 145.4264 0.539206847 41.60 +1 430.7875 320.1273 0.00432677709 41.60 +2 430.7921 487.3643 0.0124812259 41.60 +4 430.8055 424.7583 0.00778466441 41.60 +5 430.8059 444.5267 0.00587034922 41.60 +6 430.7739 143.2324 0.645185604 41.60 +1 395.7803 299.9923 0.00162511538 45.60 +2 395.8015 452.9457 0.0121515843 45.60 +4 395.8112 395.7639 0.00726973177 45.60 +5 395.8017 413.8461 0.00792016414 45.60 +6 395.784 136.3858 0.994345984 45.60 +1 395.7727 299.972 0.00354964787 45.60 +2 395.7767 452.9209 0.0122093816 45.60 +4 395.7868 395.7463 0.0056196975 45.60 +5 395.7791 413.8267 0.00799130778 45.60 +6 395.7493 137.7 0.533730906 45.60 +1 395.7566 299.9609 0.00271459021 45.60 +2 395.7589 452.899 0.0135218342 45.60 +4 395.7695 395.7307 0.00662578297 45.60 +5 395.7656 413.8128 0.00828227022 45.60 +6 395.7663 131.4928 1.88711476 45.60 +1 363.343 280.8149 0.00225144398 50.00 +2 363.345 420.5111 0.0111341367 50.00 +4 363.3456 368.3606 0.00476487146 50.00 +5 363.3335 384.8732 0.00796718269 50.00 +6 363.3064 125.9468 1.41169146 50.00 +1 363.2998 280.785 0.00105830052 50.00 +2 363.2969 420.4605 0.0131188795 50.00 +4 363.3005 368.3192 0.0066660333 50.00 +5 363.2902 384.8344 0.00724596439 50.00 +6 363.2763 128.8881 0.855670152 50.00 +1 363.2463 280.7576 0.00364472221 50.00 +2 363.2551 420.4219 0.0107400652 50.00 +4 363.2675 368.2823 0.00824748446 50.00 +5 363.2578 384.8022 0.0092701672 50.00 +6 363.2436 129.8069 0.706759159 50.00 +1 333.6342 262.8362 0.00215777663 54.80 +2 333.6834 390.4152 0.0105040944 54.80 +4 333.7012 342.8621 0.00646134661 54.80 +5 333.7008 357.9609 0.0078223398 54.80 +6 333.6796 118.542 1.13971212 54.80 +1 333.6738 262.8374 0.00244622158 54.80 +2 333.6944 390.4183 0.0114508078 54.80 +4 333.71 342.8703 0.00782438496 54.80 +5 333.7104 357.9734 0.00832970588 54.80 +6 333.6967 119.6064 0.647936991 54.80 +1 333.6994 262.8464 0.00285376944 54.80 +2 333.7022 390.4336 0.0103016504 54.80 +4 333.7128 342.8761 0.00551624873 54.80 +5 333.7079 357.9722 0.00829192378 54.80 +6 333.7077 117.471 0.762411962 54.80 +1 306.1121 245.7107 0.00342651426 60.10 +2 306.1125 362.0124 0.0103616601 60.10 +4 306.116 318.7108 0.00762469672 60.10 +5 306.1086 332.4798 0.00591574171 60.10 +6 306.0844 114.0872 0.25523698 60.10 +1 306.0845 245.692 0.00238746728 60.10 +2 306.087 361.9813 0.0105357012 60.10 +4 306.0919 318.6909 0.00473381453 60.10 +5 306.0836 332.4552 0.00724127061 60.10 +6 306.065 110.6429 0.959988744 60.10 +1 306.0628 245.6785 0.00396799698 60.10 +2 306.0654 361.9605 0.0108519583 60.10 +4 306.0734 318.6737 0.00660764709 60.10 +5 306.0672 332.4422 0.00730041095 60.10 +6 306.0532 104.0933 1.26946354 60.10 +1 280.6454 229.5104 0.00115931014 65.90 +2 280.6328 335.3879 0.00572965968 65.90 +4 280.6211 295.998 0.00512640225 65.90 +5 280.6001 308.5259 0.00621361409 65.90 +6 280.5738 239.9694 0.00235881326 65.90 +1 280.5503 229.4409 0.00240187427 65.90 +2 280.5387 335.2814 0.00849493967 65.90 +4 280.5322 295.9171 0.00558471127 65.90 +5 280.5134 308.4459 0.00708583093 65.90 +6 280.4927 239.916 0.00255734237 65.90 +1 280.4796 229.3974 0.00248676497 65.90 +2 280.471 335.2155 0.00684580163 65.90 +4 280.4704 295.8674 0.00347908034 65.90 +5 280.461 308.3967 0.00635932386 65.90 +6 280.4454 239.8809 0.00320764711 65.90 +1 257.7251 214.5799 0.00197205477 72.30 +2 257.6828 311.0702 0.00312985623 72.30 +4 257.6467 275.1796 0.00468657658 72.30 +5 257.5994 286.5826 0.00513848227 72.30 +6 257.5501 223.9882 0.00254872517 72.30 +1 257.4933 214.4253 0.00137876757 72.30 +2 257.4565 310.8259 0.00638349434 72.30 +4 257.4311 274.9846 0.00438451822 72.30 +5 257.3949 286.3852 0.00546223398 72.30 +6 257.3548 223.8504 0.00292301215 72.30 +1 257.3075 214.3025 0.00172771525 72.30 +2 257.2856 310.6392 0.00658452732 72.30 +4 257.2666 274.8307 0.00510107832 72.30 +5 257.2293 286.2364 0.00368293361 72.30 +6 257.1982 223.7429 0.00296462477 72.30 +1 236.1714 200.217 0.00308868904 79.20 +2 236.1321 287.9185 0.00607988487 79.20 +4 236.0993 255.3345 0.0047355042 79.20 +5 236.0605 265.7109 0.00288600069 79.20 +6 236.0132 208.7121 0.00180803761 79.20 +1 235.9633 200.0746 0.00165650234 79.20 +2 235.9331 287.7 0.0052516664 79.20 +4 235.9021 255.1593 0.00140748002 79.20 +5 235.8705 265.5316 0.00558605406 79.20 +6 235.8378 208.5871 0.00269981481 79.20 +1 235.8002 199.9655 0.00298747385 79.20 +2 235.7762 287.5331 0.00694758951 79.20 +4 235.7561 255.0391 0.0126999606 79.20 +5 235.7322 265.3957 0.00440919494 79.20 +6 235.7064 208.4912 0.00227068272 79.20 +1 216.0679 186.5238 0.00213447886 86.90 +2 216.0373 266.0509 0.0057800519 86.90 +4 216.0067 236.5309 0.00505262308 86.90 +5 215.9644 245.9466 0.00334723767 86.90 +6 215.9217 194.1579 0.00143840189 86.90 +1 215.8806 186.3918 0.0020774985 86.90 +2 215.8545 265.8527 0.00335871999 86.90 +4 215.8278 236.3648 0.00510254838 86.90 +5 215.7947 245.7806 0.00386315933 86.90 +6 215.7642 194.0413 0.00214965113 86.90 +1 215.7347 186.2851 0.00291358885 86.90 +2 215.7107 265.6842 0.00673171598 86.90 +4 215.6874 236.2321 0.00497282616 86.90 +5 215.662 245.6425 0.00510538931 86.90 +6 215.634 193.948 0.00142828569 86.90 +1 197.6574 173.6996 0.00240914923 95.30 +2 197.6259 245.7591 0.00610155718 95.30 +4 197.5928 219.0341 0.00382478758 95.30 +5 197.5557 227.5673 0.0031434058 95.30 +6 197.5249 180.5469 0.00115282262 95.30 +1 197.4784 173.5701 0.00223360695 95.30 +2 197.4514 245.5666 0.00476067222 95.30 +4 197.4277 218.8749 0.00354527855 95.30 +5 197.397 227.4072 0.00367913033 95.30 +6 197.3665 180.4322 0.00148862353 95.30 +1 197.3245 173.4725 0.00146458185 95.30 +2 197.3136 245.4161 0.00528478949 95.30 +4 197.298 218.7507 0.0015559563 95.30 +5 197.2721 227.2836 0.00270628897 95.30 +6 197.246 180.3418 0.00188573593 95.30 +1 181.5767 162.2608 0.0017595454 104.00 +2 181.5475 227.82 0.00423792402 104.00 +4 181.5196 203.5217 0.00459793432 104.00 +5 181.4873 211.2886 0.00340939877 104.00 +6 181.4553 168.4219 0.00161523992 104.00 +1 181.4127 162.1422 0.00191206694 104.00 +2 181.3886 227.6418 0.00541811775 104.00 +4 181.3676 203.377 0.00378681925 104.00 +5 181.3434 211.1403 0.00431752244 104.00 +6 181.3136 168.3169 0.00250778787 104.00 +1 181.2847 162.0502 0.00217163533 104.00 +2 181.2645 227.5041 0.00574882597 104.00 +4 181.2493 203.2624 0.00307961036 104.00 +5 181.2278 211.0279 0.00222912539 104.00 +6 181.204 168.2356 0.00149799866 104.00 +1 164.61 149.8305 0.00562361094 115.00 +2 164.5762 208.6203 0.00460662566 115.00 +4 164.5232 186.8725 0.00371012129 115.00 +5 164.4962 193.8203 0.004266263 115.00 +6 164.4905 155.2571 0.00672376383 115.00 +1 164.452 149.7134 0.00625971245 115.00 +2 164.4225 208.4503 0.00437046908 115.00 +4 164.3763 186.7302 0.00169587735 115.00 +5 164.351 193.6745 0.00406509532 115.00 +6 164.3503 155.1525 0.0066291025 115.00 +1 164.3211 149.6205 0.00557180402 115.00 +2 164.2998 208.3125 0.00206033978 115.00 +4 164.2622 186.6119 0.00317946536 115.00 +5 164.2401 193.5587 0.00431288766 115.00 +6 164.2428 155.0694 0.00619709609 115.00 +1 150.2404 139.2376 0.00192976683 126.00 +2 150.2075 192.319 0.00816455755 126.00 +4 150.1705 172.6998 0.00735227856 126.00 +5 150.1446 178.9716 0.00698025787 126.00 +6 150.1286 144.0597 0.00178353581 126.00 +1 150.1061 139.1316 0.0018984204 126.00 +2 150.0738 192.1663 0.00835110771 126.00 +4 150.0459 172.5742 0.00817288199 126.00 +5 150.0238 178.8449 0.00681535032 126.00 +6 150.0096 143.9664 0.00228997817 126.00 +1 149.9945 139.0493 0.00124137021 126.00 +2 149.9668 192.0458 0.0106984111 126.00 +4 149.9421 172.4712 0.0073454748 126.00 +5 149.9255 178.7397 0.00648544524 126.00 +6 149.9168 143.8912 0.00273788239 126.00 +1 137.1973 129.3382 0.001713476 138.00 +2 137.1653 177.2054 0.00730643552 138.00 +4 137.1325 159.5252 0.00669596894 138.00 +5 137.1072 165.1832 0.0082641394 138.00 +6 137.0887 133.6048 0.00149532605 138.00 +1 137.0659 129.2378 0.00195857091 138.00 +2 137.0401 177.0563 0.00616287271 138.00 +4 137.0213 159.3236 0.0192406861 138.00 +5 136.9985 165.0628 0.00660272671 138.00 +6 136.9767 133.512 0.00232808935 138.00 +1 136.9636 129.1563 0.00183874958 138.00 +2 136.9372 176.9379 0.00754513088 138.00 +4 136.9223 159.2085 0.00459401785 138.00 +5 136.9051 164.9625 0.00761741426 138.00 +6 136.8863 133.4393 0.00203002463 138.00 +1 125.3126 120.1338 0.00124739729 151.00 +2 125.282 163.2673 0.006942694 151.00 +4 125.2604 147.2568 0.00285587115 151.00 +5 125.2465 152.3569 0.00295110149 151.00 +6 125.221 123.8937 0.00156875747 151.00 +1 125.1882 120.0382 0.0016358484 151.00 +2 125.1654 163.1292 0.00693080082 151.00 +4 125.1483 147.1403 0.00314022292 151.00 +5 125.1387 152.2409 0.00346828488 151.00 +6 125.1193 123.8092 0.00161121072 151.00 +1 125.0952 119.9623 0.0018976301 151.00 +2 125.07 163.021 0.0060876925 151.00 +4 125.058 147.0487 0.00349585469 151.00 +5 125.0523 152.1491 0.00333901183 151.00 +6 125.0362 123.7406 0.0013130118 151.00 +1 113.8037 111.0348 0.00135499077 166.00 +2 113.7854 149.5179 0.00315420354 166.00 +4 113.7665 135.2957 0.00130422391 166.00 +5 113.7454 139.8658 0.00291821863 166.00 +6 113.7244 114.306 0.00137113092 166.00 +1 113.698 110.95 0.001356466 166.00 +2 113.6818 149.3979 0.00240187427 166.00 +4 113.6683 135.192 0.00279284801 166.00 +5 113.6531 139.7653 0.00230672929 166.00 +6 113.636 114.2311 0.00170557908 166.00 +1 113.6143 110.8827 0.00141456707 166.00 +2 113.6023 149.3005 0.00354471437 166.00 +4 113.5907 135.1126 0.00159499216 166.00 +5 113.576 139.6828 0.00303578655 166.00 +6 113.5626 114.1701 0.00174040225 166.00 +1 103.5821 102.7865 0.00111579568 182.00 +2 103.5645 137.2435 0.00239687296 182.00 +4 103.5478 124.5186 0.00694291005 182.00 +5 103.5285 128.6154 0.00228997817 182.00 +6 103.509 105.6204 0.00132060592 182.00 +1 103.4865 102.7076 0.00135793962 182.00 +2 103.4718 137.1315 0.00299749896 182.00 +4 103.4589 124.4146 0.00261610397 182.00 +5 103.4442 128.5226 0.00239248824 182.00 +6 103.4291 105.5528 0.00145464772 182.00 +1 103.412 102.6473 0.00121696343 182.00 +2 103.4018 137.0466 0.00290929545 182.00 +4 103.3922 124.3423 0.00324052465 182.00 +5 103.38 128.4507 0.00227618101 182.00 +6 103.3673 105.4992 0.00131757353 182.00 +1 94.5259 95.3349 0.000767463354 199.00 +2 94.5094 126.2365 0.00316306813 199.00 +4 94.4944 114.8149 0.00238516247 199.00 +5 94.4781 118.5123 0.00235393288 199.00 +6 94.4606 97.7807 0.000938616002 199.00 +1 94.4335 95.2597 0.00113181271 199.00 +2 94.4249 126.1346 0.00233752005 199.00 +4 94.4151 114.7294 0.00120166551 199.00 +5 94.4021 118.4265 0.00192483766 199.00 +6 94.3868 97.7168 0.00130996183 199.00 +1 94.3701 95.2034 0.00120166551 199.00 +2 94.3605 126.055 0.00271293199 199.00 +4 94.3522 114.6622 0.00238243573 199.00 +5 94.3414 118.3605 0.00267301328 199.00 +6 94.3319 97.6686 0.00128996124 199.00 +1 86.0853 88.2504 0.00157607106 218.00 +2 86.0707 115.8573 0.00220476756 218.00 +4 86.0574 105.6522 0.00218082553 218.00 +5 86.0421 108.9702 0.00189103146 218.00 +6 86.0258 90.3369 0.00162757488 218.00 +1 86.0072 88.184 0.00144913767 218.00 +2 85.996 115.7629 0.00259017374 218.00 +4 85.9859 105.5746 0.00196061215 218.00 +5 85.974 108.8928 0.00172510869 218.00 +6 85.9617 90.2804 0.0014366628 218.00 +1 85.9449 88.1332 0.00152184099 218.00 +2 85.9387 115.6921 0.00293410975 218.00 +4 85.9303 105.5142 0.00222620754 218.00 +5 85.9212 108.8337 0.0016065491 218.00 +6 85.9115 90.2362 0.00118995798 218.00 +1 78.3426 81.63 0.000774596669 239.00 +2 78.3295 106.2206 0.00262373779 239.00 +4 78.3183 97.127 0.00201494417 239.00 +5 78.3055 100.0987 0.00166763305 239.00 +6 78.2923 83.385 0.0012489996 239.00 +1 78.2739 81.5705 0.00125896783 239.00 +2 78.2636 106.1392 0.00212508823 239.00 +4 78.2558 97.0582 0.00236135554 239.00 +5 78.2466 100.0305 0.00195064092 239.00 +6 78.2366 83.3343 0.000860813569 239.00 +1 78.2223 81.5248 0.00140570267 239.00 +2 78.2157 106.0764 0.00272836948 239.00 +4 78.2095 97.0069 0.00179136819 239.00 +5 78.2018 99.9798 0.00208710326 239.00 +6 78.1934 83.2972 0.000892188321 239.00 +1 71.3491 75.5325 0.000380788655 262.00 +2 71.338 97.4101 0.0021234406 262.00 +4 71.3272 89.3149 0.00178577714 262.00 +5 71.3134 91.9733 0.00164347193 262.00 +6 71.3012 76.9869 0.00144533733 262.00 +1 71.2871 75.4771 0.00152610616 262.00 +2 71.2783 97.3356 0.00201593651 262.00 +4 71.2709 89.2531 0.00092141196 262.00 +5 71.2617 91.9117 0.00195984693 262.00 +6 71.2526 76.9403 0.00126530629 262.00 +1 71.2404 75.4359 0.00162141913 262.00 +2 71.2343 97.2801 0.0022020445 262.00 +4 71.2294 89.2053 0.00211210795 262.00 +5 71.2227 91.866 0.00183303028 262.00 +6 71.2148 76.9063 0.00117515956 262.00 +1 64.8566 69.7628 0.00096747093 288.00 +2 64.8472 89.1302 0.00212037732 288.00 +4 64.8372 81.9571 0.00194653538 288.00 +5 64.8269 84.3275 0.00173925271 288.00 +6 64.8178 70.9384 0.0013130118 288.00 +1 64.8046 69.7147 0.000949210198 288.00 +2 64.7968 89.0728 0.0061835265 288.00 +4 64.7894 81.9022 0.00161740533 288.00 +5 64.7807 84.2728 0.00134759044 288.00 +6 64.7728 70.8974 0.000532916504 288.00 +1 64.762 69.6772 0.00123125952 288.00 +2 64.7571 89.0139 0.00259403161 288.00 +4 64.7544 81.8604 0.00106018866 288.00 +5 64.7477 84.2322 0.0016297239 288.00 +6 64.7403 70.8667 0.00112294256 288.00 +1 61.8212 67.0253 0.000980306075 302.00 +2 61.8124 85.2191 0.00181356003 302.00 +4 61.8044 78.4787 0.000849117189 302.00 +5 61.795 80.713 0.0016673332 302.00 +6 61.7851 68.0704 0.001394274 302.00 +1 61.774 66.9816 0.00101192885 302.00 +2 61.7679 85.1621 0.00133003759 302.00 +4 61.7612 78.4291 0.00181906569 302.00 +5 61.7543 80.6658 0.00207267943 302.00 +6 61.7473 68.0357 0.00131946959 302.00 +1 61.7386 66.9505 0.00133603892 302.00 +2 61.7353 85.1199 0.00203690942 302.00 +4 61.732 78.3939 0.00168196314 302.00 +5 61.7272 80.6332 0.00141279864 302.00 +6 61.7221 68.0101 0.00144533733 302.00 +1 60.2442 65.5937 0.00118363846 310.00 +2 60.2365 83.1779 0.00175185616 310.00 +4 60.2279 76.6572 0.00262982889 310.00 +5 60.217 78.8238 0.0016235763 310.00 +6 60.2069 66.5675 0.00114236597 310.00 +1 60.196 65.5468 0.00112071406 310.00 +2 60.1883 83.1149 0.00190499344 310.00 +4 60.1809 76.6057 0.00114934764 310.00 +5 60.1739 78.7717 0.00178353581 310.00 +6 60.1656 66.5291 0.00097416631 310.00 +1 60.1578 65.5139 0.0013960659 310.00 +2 60.153 83.0712 0.00201395134 310.00 +4 60.1491 76.5689 0.00155852494 310.00 +5 60.1448 78.7373 0.00174957138 310.00 +6 60.1399 66.5031 0.0012525973 310.00 diff --git a/calib_data/_calib_data/calib_2022-02-21.txt b/calib_data/_calib_data/calib_2022-02-21.txt new file mode 100644 index 0000000..2561507 --- /dev/null +++ b/calib_data/_calib_data/calib_2022-02-21.txt @@ -0,0 +1,932 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 33868.24 22830.67 0.982858077 1.38 +2 33864.27 13709.53 0.195473783 1.38 +4 33864.2 17922.38 0.48099896 1.38 +5 33862.34 10317.04 0.285727143 1.38 +6 33858.19 7452.89 0.246758992 1.38 +1 33855.51 22821.67 0.739195509 1.38 +2 33854.59 13705.76 0.22009089 1.38 +4 33845.76 17914.51 0.415559863 1.38 +5 34240.89 10317.89 12.6884944 1.38 +6 34326.95 7521.41 6.07930012 1.38 +1 33860.62 22808.31 2.54049011 1.38 +2 33791.82 13683.53 0.274972726 1.38 +4 33780.2 17885.62 0.310096759 1.38 +5 33775.98 10297.81 0.281229444 1.38 +6 33763.54 7438.29 0.241018671 1.38 +1 31187.46 21229.76 0.890864748 1.42 +2 31179.51 12844.53 0.429662658 1.42 +4 31171.22 16711.58 1.43358292 1.42 +5 31148.81 9706.18 0.450510821 1.42 +6 31122.12 7040.73 0.380013158 1.42 +1 31099.59 21171.2 1.5118201 1.42 +2 30844.05 12628.62 49.2482138 1.42 +4 30717.84 16561.26 3.44125558 1.42 +5 30799.83 9627.51 0.898493183 1.42 +6 30723.68 6980.28 0.541811775 1.42 +1 30610.46 20890.63 3.74526501 1.42 +2 30458.41 12609.84 3.36072016 1.42 +4 30260.97 16305.45 4.8677767 1.42 +5 29975.84 9445.55 4.30079644 1.42 +6 29610.18 6806.5 2.66319357 1.42 +1 26853.46 18610.58 0.350371232 1.51 +2 26857.2 11422.08 0.377041112 1.51 +4 26866.25 14752.34 1.0257875 1.51 +5 26866.09 8712.37 0.51517958 1.51 +6 26853.69 6375.37 0.392950379 1.51 +1 26856.24 18609.37 1.27326745 1.51 +2 26854.94 11421.07 0.594482969 1.51 +4 26849.3 14750.57 0.541857915 1.51 +5 26850.98 8710.54 0.391714182 1.51 +6 26856.36 6375.13 0.173810241 1.51 +1 26841.16 18601.1 0.360555128 1.51 +2 26841.98 11416.7 0.38704005 1.51 +4 26840.69 14743.03 0.298680431 1.51 +5 26841.93 8706.77 0.234542107 1.51 +6 26842.34 6372.27 0.190289254 1.51 +1 21493.03 15301.75 0.617130456 1.66 +2 21493 9582.62 0.463206218 1.66 +4 21495.43 12232.16 0.825009091 1.66 +5 21495.76 7400.57 0.201022387 1.66 +6 21492.68 5484.13 0.320327957 1.66 +1 21492.72 15301.96 0.597862861 1.66 +2 21492.64 9582.33 0.413291665 1.66 +4 21492.15 12232.59 0.653827194 1.66 +5 21493.4 7399.82 0.243228288 1.66 +6 21493.06 5483.31 0.345673256 1.66 +1 21491.64 15302.12 0.763125154 1.66 +2 21493.8 9582.96 0.315023809 1.66 +4 21494.65 12232.32 0.639186984 1.66 +5 21492.99 7400.37 0.402753026 1.66 +6 21489.86 5483.73 0.267600448 1.66 +1 17512.18 12782.45 0.553217859 1.82 +2 17511.87 8152.67 0.489908155 1.82 +4 17510.83 10299.05 0.512103505 1.82 +5 17511.53 6367.43 0.285324377 1.82 +6 17513.09 4770.649 0.2309435 1.82 +1 17512.34 12783.12 0.464284396 1.82 +2 17512.74 8152.3 0.397492138 1.82 +4 17511.67 10297.56 0.571699222 1.82 +5 17510.87 6367.31 0.318260899 1.82 +6 17511.94 4770.744 0.187014438 1.82 +1 17513.82 12782.35 0.460488871 1.82 +2 17514.49 8152.6 0.207364414 1.82 +4 17513.35 10297.22 0.540888158 1.82 +5 17510.59 6367.73 0.295989865 1.82 +6 17511.96 4770.745 0.197444929 1.82 +1 14506.22 10839.72 0.375446401 1.99 +2 14506.16 7028.03 0.319390044 1.99 +4 14505.29 8793.64 0.302390476 1.99 +5 14505.78 5546.03 0.397756207 1.99 +6 14506.88 4197.001 0.0910982986 1.99 +1 14505.53 10839.37 0.264594029 1.99 +2 14505.09 7028.32 0.304893424 1.99 +4 14505.4 8793.41 0.365362833 1.99 +5 14505.64 5545.75 0.200624026 1.99 +6 14505.27 4196.738 0.142525787 1.99 +1 14505.8 10838.33 0.45826848 1.99 +2 14505.15 7028.47 0.209785605 1.99 +4 14504.83 8793.14 0.619870954 1.99 +5 14505.57 5545.56 0.521190944 1.99 +6 14505.85 4196.998 0.126457898 1.99 +1 12079.66 9231.57 0.668737617 2.18 +2 12080.61 6081.07 0.751005992 2.18 +4 12079.63 7539.43 1.04995714 2.18 +5 12079.85 4844.025 0.448716503 2.18 +6 12079.73 3702.645 0.300463808 2.18 +1 12078.97 9231.09 1.08926122 2.18 +2 12079.02 6080.88 0.664951126 2.18 +4 12079.64 7539.5 0.771362431 2.18 +5 12080.61 4843.761 0.213670073 2.18 +6 12079.51 3702.795 0.354136273 2.18 +1 12081.95 9232.46 0.79312042 2.18 +2 12080.29 6081.17 0.623225481 2.18 +4 12078.78 7539.13 0.534612009 2.18 +5 12078.63 4843.831 0.364289583 2.18 +6 12078.77 3702.648 0.347271652 2.18 +1 10150.27 7924.45 0.452824469 2.39 +2 10150.68 5296.75 0.503636774 2.39 +4 10150.39 6512.09 0.532062026 2.39 +5 10150.78 4258.175 0.203829586 2.39 +6 10150.53 3284.653 0.158650875 2.39 +1 10151.2 7925.42 0.607420777 2.39 +2 10150.88 5297.75 0.332039154 2.39 +4 10150.81 6511.65 0.50680371 2.39 +5 10150.7 4258.211 0.134888472 2.39 +6 10149.79 3284.364 0.105035232 2.39 +1 10150.2 7924.82 0.473455383 2.39 +2 10150.4 5297.27 0.337357377 2.39 +4 10150.27 6512.44 0.453916292 2.39 +5 10150.37 4257.924 0.194798357 2.39 +6 10150.48 3284.571 0.149227678 2.39 +1 8608.68 6858.17 0.387569349 2.62 +2 8608.98 4646.366 0.119718002 2.62 +4 8608.42 5668.44 0.263514705 2.62 +5 8608.56 3767.194 0.0739756717 2.62 +6 8609.53 2930.878 0.0601631116 2.62 +1 8608.08 6857.82 0.230130398 2.62 +2 8608.71 4646.086 0.112215863 2.62 +4 8608.87 5668.44 0.249479458 2.62 +5 8608.73 3766.936 0.102870793 2.62 +6 8609.32 2930.594 0.0664560005 2.62 +1 8608.61 6858.83 0.25221023 2.62 +2 8608.87 4646.047 0.172308154 2.62 +4 8608.55 5668.09 0.249178651 2.62 +5 8608.72 3767.195 0.104806965 2.62 +6 8609.76 2930.732 0.107886978 2.62 +1 7334.01 5958.87 0.273148311 2.88 +2 7334.24 4089.23 0.116370099 2.88 +4 7334.72 4950.406 0.117210921 2.88 +5 7335.07 3342.611 0.0951677466 2.88 +6 7334.93 2621.418 0.0892277984 2.88 +1 7333.56 5958.18 0.27921318 2.88 +2 7334.03 4089.548 0.0799474828 2.88 +4 7334.6 4950.531 0.170871004 2.88 +5 7334.52 3342.68 0.103894177 2.88 +6 7334.19 2621.504 0.107844332 2.88 +1 7335.1 5958.16 0.217807254 2.88 +2 7334.97 4089.408 0.0984662379 2.88 +4 7335.04 4950.674 0.163610513 2.88 +5 7334.67 3342.387 0.0989853525 2.88 +6 7334.57 2621.534 0.0975622878 2.88 +1 6352.44 5251.46 0.214102779 3.15 +2 6352.52 3645.539 0.106164495 3.15 +4 6352.57 4383.819 0.136656138 3.15 +5 6352.95 3000.543 0.121778898 3.15 +6 6353.15 2370.308 0.0669447533 3.15 +1 6354.74 5253.17 0.361676651 3.15 +2 6355.05 3646.685 0.14240962 3.15 +4 6355.99 4385.04 0.10254755 3.15 +5 6355.42 3001.962 0.0923991342 3.15 +6 6355.45 2371.046 0.116963242 3.15 +1 6354.95 5252.7 0.227156334 3.15 +2 6355.31 3646.804 0.102099951 3.15 +4 6355.58 4385.883 0.067276296 3.15 +5 6355.47 3001.951 0.0799681186 3.15 +6 6355.48 2371.035 0.0503040754 3.15 +1 5506.46 4629.981 0.0718811519 3.46 +2 5506.67 3251.162 0.0997176013 3.46 +4 5507.28 3884.084 0.076396335 3.46 +5 5507.84 2694.599 0.0796548806 3.46 +6 5507.87 2143.567 0.0563036411 3.46 +1 5507.86 4630.167 0.0609434164 3.46 +2 5507.81 3251.366 0.0900244411 3.46 +4 5507.64 3884.541 0.094439928 3.46 +5 5508.01 2694.64 0.0735391052 3.46 +6 5507.76 2143.589 0.0408276867 3.46 +1 5507.56 4630.072 0.109725111 3.46 +2 5507.75 3251.204 0.0873864978 3.46 +4 5507.71 3884.397 0.0892418063 3.46 +5 5507.4 2694.859 0.0552711498 3.46 +6 5507.25 2143.576 0.071891585 3.46 +1 4822.356 4119.79 0.0812526923 3.79 +2 4822.111 2922.462 0.0593262168 3.79 +4 4821.981 3470.897 0.099116598 3.79 +5 4822.117 2437.368 0.0527598332 3.79 +6 4822.08 1951.227 0.100876657 3.79 +1 4822.349 4119.702 0.0642775233 3.79 +2 4822.152 2922.413 0.0745258344 3.79 +4 4822.22 3470.903 0.0714709731 3.79 +5 4822.423 2437.462 0.0736179326 3.79 +6 4822.185 1951.29 0.106573918 3.79 +1 4822.254 4119.524 0.0581755963 3.79 +2 4822.272 2922.387 0.0434292528 3.79 +4 4822.209 3471.006 0.09695566 3.79 +5 4822.229 2437.205 0.0743538836 3.79 +6 4821.902 1951.344 0.0520615021 3.79 +1 4236.018 3674.047 0.122082349 4.16 +2 4235.984 2631.863 0.0710499824 4.16 +4 4235.729 3108.241 0.0570166642 4.16 +5 4235.578 2208.048 0.0606761897 4.16 +6 4235.696 1778.785 0.0648729528 4.16 +1 4235.894 3674.073 0.0674099399 4.16 +2 4235.64 2631.91 0.043451122 4.16 +4 4235.835 3108.303 0.0777823888 4.16 +5 4236.03 2207.915 0.0571358031 4.16 +6 4236.106 1778.817 0.0866031177 4.16 +1 4235.905 3674.046 0.0747823509 4.16 +2 4235.94 2631.854 0.0825614922 4.16 +4 4236 3108.049 0.0639601438 4.16 +5 4235.976 2208.031 0.0687669979 4.16 +6 4235.846 1778.823 0.0592292158 4.16 +1 3748.495 3297.645 0.080389676 4.56 +2 3748.629 2383.6 0.0451220567 4.56 +4 3748.839 2800.204 0.0959916663 4.56 +5 3748.722 2010.594 0.0519846131 4.56 +6 3748.55 1629.293 0.065223462 4.56 +1 3748.694 3297.613 0.0586353136 4.56 +2 3748.605 2383.497 0.0890398787 4.56 +4 3748.735 2800.159 0.0628402737 4.56 +5 3748.614 2010.572 0.0647580111 4.56 +6 3748.472 1629.367 0.0550645076 4.56 +1 3748.702 3297.455 0.106077802 4.56 +2 3748.616 2383.398 0.0883153441 4.56 +4 3748.667 2800.344 0.0543727873 4.56 +5 3748.573 2010.753 0.0538525765 4.56 +6 3748.377 1629.092 0.0823626129 4.56 +1 3334.606 2972.424 0.116946141 5.00 +2 3334.748 2166.917 0.0812656139 5.00 +4 3334.955 2533.398 0.0915729218 5.00 +5 3334.768 1837.302 0.0917583784 5.00 +6 3334.777 1496.381 0.029814426 5.00 +1 3334.872 2972.736 0.0496024193 5.00 +2 3334.594 2166.935 0.109820308 5.00 +4 3334.58 2533.386 0.0988048582 5.00 +5 3334.791 1837.495 0.0501647286 5.00 +6 3334.993 1496.481 0.0288600069 5.00 +1 3334.847 2972.308 0.0609885235 5.00 +2 3334.859 2167.296 0.108038882 5.00 +4 3334.661 2533.166 0.0801273986 5.00 +5 3334.821 1837.467 0.0956352445 5.00 +6 3334.95 1496.511 0.0408276867 5.00 +1 2981.221 2690.477 0.0349585469 5.48 +2 2981.242 1977.32 0.0824014563 5.48 +4 2981.252 2300.828 0.0972913151 5.48 +5 2981.294 1684.509 0.0788346371 5.48 +6 2981.321 1379.166 0.0298730648 5.48 +1 2981.294 2690.458 0.0597795952 5.48 +2 2981.121 1977.413 0.110671134 5.48 +4 2981.252 2300.676 0.073283013 5.48 +5 2981.372 1684.62 0.0560713831 5.48 +6 2981.256 1379.101 0.0138166566 5.48 +1 2981.407 2690.808 0.0407872529 5.48 +2 2981.331 1977.376 0.0646095968 5.48 +4 2981.271 2300.684 0.11016533 5.48 +5 2981.325 1684.452 0.0475562824 5.48 +6 2981.225 1379.068 0.0239081576 5.48 +1 2675.377 2442.845 0.0526925042 6.01 +2 2675.352 1809.011 0.100503234 6.01 +4 2675.508 2096 0.090399115 6.01 +5 2675.614 1547.617 0.0136418474 6.01 +6 2675.697 1273.771 0.015195394 6.01 +1 2675.551 2443.006 0.0724734434 6.01 +2 2675.475 1809.124 0.0697595872 6.01 +4 2675.235 2095.918 0.056987718 6.01 +5 2675.372 1547.621 0.0321387616 6.01 +6 2675.704 1273.901 0.0254735157 6.01 +1 2675.783 2443.058 0.055530172 6.01 +2 2675.579 1809.282 0.0568999121 6.01 +4 2675.311 2095.838 0.0743343797 6.01 +5 2675.271 1547.64 0.04580393 6.01 +6 2675.371 1273.749 0.0313831165 6.01 +1 2411.394 2226.539 0.0597235297 6.59 +2 2411.336 1660.659 0.0829873484 6.59 +4 2411.495 1915.683 0.041881977 6.59 +5 2411.808 1426.675 0.0346482323 6.59 +6 2411.802 1179.758 0.0218997717 6.59 +1 2411.581 2226.455 0.0771135526 6.59 +2 2411.513 1660.63 0.0773950903 6.59 +4 2411.295 1915.77 0.0801872808 6.59 +5 2411.237 1426.568 0.028628657 6.59 +6 2411.314 1179.748 0.0339057517 6.59 +1 2411.352 2226.203 0.0545353097 6.59 +2 2411.488 1660.651 0.0709711209 6.59 +4 2411.559 1915.851 0.0565588189 6.59 +5 2411.61 1426.64 0.0171464282 6.59 +6 2411.791 1179.753 0.0297338191 6.59 +1 2179.788 2033.933 0.0793479678 7.23 +2 2179.804 1526.859 0.0517774082 7.23 +4 2179.905 1755.207 0.0750206638 7.23 +5 2180.09 1317.623 0.0181135309 7.23 +6 2180.292 1094.519 0.0251177228 7.23 +1 2179.715 2033.754 0.0533329167 7.23 +2 2179.943 1526.98 0.0470319041 7.23 +4 2180.002 1755.302 0.0755751282 7.23 +5 2180.005 1317.51 0.0415451562 7.23 +6 2180.086 1094.527 0.0243741667 7.23 +1 2179.974 2034.112 0.124754158 7.23 +2 2179.999 1526.805 0.0521008637 7.23 +4 2179.93 1755.271 0.04306855 7.23 +5 2179.719 1317.441 0.0295448811 7.23 +6 2179.99 1094.528 0.0247305479 7.23 +1 1979.928 1865.446 0.0446810922 7.92 +2 1980.071 1409.603 0.0209308385 7.92 +4 1980.017 1614.411 0.0983610695 7.92 +5 1979.99 1220.93 0.0324345495 7.92 +6 1980.274 1018.63 0.0392428337 7.92 +1 1980.146 1865.325 0.0677089359 7.92 +2 1980.059 1409.83 0.0338526218 7.92 +4 1979.965 1614.217 0.0753664382 7.92 +5 1980.179 1220.961 0.0177454219 7.92 +6 1980.383 1018.648 0.0177651344 7.92 +1 1979.845 1865.666 0.0869965517 7.92 +2 1980.156 1409.781 0.0339543812 7.92 +4 1980.132 1614.455 0.0798404659 7.92 +5 1980.075 1220.845 0.0336823396 7.92 +6 1980.242 1018.515 0.0310241841 7.92 +1 1802.234 1713.955 0.0898582217 8.69 +2 1802.261 1303.251 0.040285233 8.69 +4 1802.307 1486.624 0.0307310917 8.69 +5 1802.358 1132.78 0.0284604989 8.69 +6 1802.29 948.983 0.0417384715 8.69 +1 1802.178 1713.931 0.0481964729 8.69 +2 1802.214 1303.279 0.0380381388 8.69 +4 1802.28 1486.704 0.02665333 8.69 +5 1802.218 1132.859 0.0219749858 8.69 +6 1802.303 949.011 0.0296799596 8.69 +1 1802.18 1714.139 0.0903709024 8.69 +2 1802.198 1303.327 0.0172075565 8.69 +4 1802.369 1486.724 0.0391969387 8.69 +5 1802.258 1132.805 0.0212720474 8.69 +6 1802.2 949.016 0.0323790055 8.69 +1 1644.242 1577.249 0.0271090391 9.53 +2 1644.309 1206.989 0.0232142198 9.53 +4 1644.294 1372.078 0.0341115816 9.53 +5 1644.201 1052.652 0.0195345847 9.53 +6 1644.205 885.31 0.0163095064 9.53 +1 1644.166 1577.214 0.0339764624 9.53 +2 1644.406 1206.95 0.0338526218 9.53 +4 1644.462 1372.085 0.0397303411 9.53 +5 1644.217 1052.676 0.0279356403 9.53 +6 1644.069 885.333 0.0262316603 9.53 +1 1644.104 1577.193 0.0408178882 9.53 +2 1644.122 1206.978 0.0335797558 9.53 +4 1644.223 1372.037 0.0224521714 9.53 +5 1644.376 1052.675 0.0323805497 9.53 +6 1644.379 885.401 0.0230846269 9.53 +1 1509.901 1460.889 0.0287210724 10.40 +2 1509.935 1124.13 0.0270554985 10.40 +4 1509.941 1273.888 0.0258766304 10.40 +5 1509.849 983.386 0.0306006536 10.40 +6 1509.724 830.108 0.0164195006 10.40 +1 1509.808 1460.769 0.0328466132 10.40 +2 1509.854 1124.046 0.0130537351 10.40 +4 1509.858 1273.8 0.0298998328 10.40 +5 1509.794 983.3 0.0256124969 10.40 +6 1509.785 830.165 0.038839413 10.40 +1 1509.914 1460.932 0.0257992248 10.40 +2 1509.916 1124.09 0.0180554701 10.40 +4 1509.83 1273.855 0.0213190056 10.40 +5 1509.773 983.37 0.0244131112 10.40 +6 1509.753 830.125 0.0189340962 10.40 +1 1372.388 1339.904 0.0450599601 11.50 +2 1372.379 1037.366 0.0284675254 11.50 +4 1372.277 1171.447 0.0209785605 11.50 +5 1372.247 910.511 0.0254342289 11.50 +6 1372.322 771.815 0.022192341 11.50 +1 1372.289 1339.819 0.0122841361 11.50 +2 1372.338 1037.34 0.0250599282 11.50 +4 1372.351 1171.387 0.0295989865 11.50 +5 1372.301 910.553 0.0292591866 11.50 +6 1372.341 771.804 0.0332625916 11.50 +1 1372.326 1339.921 0.0357617114 11.50 +2 1372.32 1037.363 0.0215893492 11.50 +4 1372.362 1171.473 0.0217278623 11.50 +5 1372.327 910.539 0.0324792241 11.50 +6 1372.255 771.756 0.0187189743 11.50 +1 1260.325 1240.414 0.0345600926 12.60 +2 1260.342 965.55 0.0252982213 12.60 +4 1260.32 1086.999 0.0201221271 12.60 +5 1260.27 850.027 0.0256924113 12.60 +6 1260.206 723.09 0.0286705424 12.60 +1 1260.302 1240.428 0.0429837178 12.60 +2 1260.301 965.523 0.0211683726 12.60 +4 1260.262 1086.909 0.0194653538 12.60 +5 1260.305 850.023 0.0169735088 12.60 +6 1260.281 723.086 0.0172162714 12.60 +1 1260.27 1240.426 0.0119331471 12.60 +2 1260.189 965.551 0.0293069958 12.60 +4 1260.139 1086.977 0.0136418474 12.60 +5 1260.116 849.992 0.0203371581 12.60 +6 1260.148 723.048 0.0297926165 12.60 +1 1159.305 1150.056 0.0212226294 13.80 +2 1159.317 899.84 0.0243721152 13.80 +4 1159.333 1010.054 0.0289551377 13.80 +5 1159.362 794.468 0.0304565264 13.80 +6 1159.323 678.158 0.0173666347 13.80 +1 1159.286 1150.073 0.0244560831 13.80 +2 1159.298 899.824 0.0167451486 13.80 +4 1159.279 1010.07 0.0189208879 13.80 +5 1159.294 794.409 0.0261705942 13.80 +6 1159.301 678.136 0.0205523721 13.80 +1 1159.343 1150.066 0.0242981481 13.80 +2 1159.262 899.768 0.0303578655 13.80 +4 1159.283 1010.073 0.0276785115 13.80 +5 1159.295 794.381 0.0162141913 13.80 +6 1159.284 678.134 0.0214102779 13.80 +1 1068.602 1068.163 0.0172075565 15.10 +2 1068.58 840.034 0.0227683992 15.10 +4 1068.515 940.12 0.0282488938 15.10 +5 1068.569 743.603 0.0240020832 15.10 +6 1068.558 636.877 0.0254970587 15.10 +1 1068.518 1068.168 0.0239499478 15.10 +2 1068.573 840.021 0.0191023559 15.10 +4 1068.625 940.135 0.0312809846 15.10 +5 1068.55 743.557 0.0215893492 15.10 +6 1068.476 636.864 0.0176748409 15.10 +1 1068.577 1068.158 0.024240462 15.10 +2 1068.56 839.984 0.0204548283 15.10 +4 1068.492 940.206 0.0209857094 15.10 +5 1068.542 743.5 0.0254950976 15.10 +6 1068.504 636.827 0.0286373881 15.10 +1 981.701 989.193 0.0163737595 16.60 +2 981.698 781.945 0.0257390754 16.60 +4 981.71 872.63 0.032 16.60 +5 981.679 693.909 0.0254342289 16.60 +6 981.643 596.429 0.0223360695 16.60 +1 981.619 989.097 0.0206905776 16.60 +2 981.626 781.934 0.0200599103 16.60 +4 981.624 872.583 0.0204474937 16.60 +5 981.634 693.962 0.0239081576 16.60 +6 981.593 596.451 0.0208542562 16.60 +1 981.588 989.15 0.0201990099 16.60 +2 981.634 781.921 0.0241018671 16.60 +4 981.588 872.582 0.0296580512 16.60 +5 981.624 693.933 0.0159405144 16.60 +6 981.624 596.514 0.0196061215 16.60 +1 904.539 918.553 0.0244969386 18.20 +2 904.468 729.707 0.0154951605 18.20 +4 904.514 812.122 0.0288721319 18.20 +5 904.532 649.201 0.0276929594 18.20 +6 904.508 559.861 0.0233858932 18.20 +1 904.606 918.514 0.0235457002 18.20 +2 904.573 729.68 0.0377888873 18.20 +4 904.528 812.111 0.0181906569 18.20 +5 904.53 649.236 0.0176181724 18.20 +6 904.538 559.837 0.0258089132 18.20 +1 904.583 918.468 0.0329180801 18.20 +2 904.539 729.648 0.0196367003 18.20 +4 904.518 812.078 0.0218082553 18.20 +5 904.444 649.234 0.019089264 18.20 +6 904.397 559.872 0.0188573593 18.20 +1 835.819 855.083 0.028707142 19.90 +2 835.762 682.477 0.0256534598 19.90 +4 835.746 757.584 0.0126649122 19.90 +5 835.819 608.692 0.0217623528 19.90 +6 835.803 526.597 0.0206421898 19.90 +1 835.728 855.083 0.0395739814 19.90 +2 835.711 682.52 0.0222261108 19.90 +4 835.74 757.53 0.0183847763 19.90 +5 835.742 608.63 0.0156204994 19.90 +6 835.695 526.582 0.0118152444 19.90 +1 835.733 855.09 0.0240416306 19.90 +2 835.756 682.471 0.0147952695 19.90 +4 835.802 757.598 0.0280642121 19.90 +5 835.785 608.595 0.0208925824 19.90 +6 835.709 526.597 0.0137149553 19.90 +1 770.937 794.917 0.0370688549 21.80 +2 770.895 637.513 0.0186574382 21.80 +4 770.884 705.721 0.0274025546 21.80 +5 770.928 569.855 0.0215986111 21.80 +6 770.902 494.3978 0.00812502308 21.80 +1 770.87 794.936 0.0218265893 21.80 +2 770.894 637.505 0.031503968 21.80 +4 770.919 705.746 0.0169823438 21.80 +5 770.904 569.836 0.0262373779 21.80 +6 770.92 494.4207 0.00556066543 21.80 +1 770.873 794.885 0.0244233495 21.80 +2 770.901 637.586 0.024132965 21.80 +4 770.893 705.715 0.0264669605 21.80 +5 770.88 569.835 0.0213658606 21.80 +6 770.974 494.4246 0.00923818164 21.80 +1 710.62 738.571 0.023767625 23.90 +2 710.638 595.232 0.0339941171 23.90 +4 710.639 657.097 0.0294974575 23.90 +5 710.568 533.119 0.0165196852 23.90 +6 710.587 464.0717 0.0125475496 23.90 +1 710.611 738.641 0.0230846269 23.90 +2 710.655 595.19 0.0215870331 23.90 +4 710.617 657.109 0.0165196852 23.90 +5 710.579 533.143 0.024333105 23.90 +6 710.596 464.0139 0.00902380186 23.90 +1 710.612 738.615 0.0277218326 23.90 +2 710.542 595.143 0.0221833271 23.90 +4 710.542 657.079 0.0147275253 23.90 +5 710.623 533.153 0.0226296266 23.90 +6 710.592 464.0303 0.00868913114 23.90 +1 654.862 686.193 0.0271311629 26.20 +2 654.852 555.591 0.0296124974 26.20 +4 654.823 611.742 0.0205329004 26.20 +5 654.889 498.5704 0.00999619928 26.20 +6 654.976 435.4833 0.00990762333 26.20 +1 654.848 686.123 0.0283566571 26.20 +2 654.838 555.558 0.0256046871 26.20 +4 654.797 611.761 0.0306414752 26.20 +5 654.858 498.5456 0.0102685929 26.20 +6 654.891 435.4749 0.00930747012 26.20 +1 654.806 686.137 0.0206905776 26.20 +2 654.785 555.521 0.0219749858 26.20 +4 654.828 611.763 0.0195984693 26.20 +5 654.923 498.5936 0.0136185168 26.20 +6 654.955 435.4461 0.00994228344 26.20 +1 601.889 636.042 0.041323117 28.80 +2 601.917 517.4 0.0249399278 28.80 +4 601.88 568.255 0.0240104144 28.80 +5 601.885 465.3536 0.0116800685 28.80 +6 601.961 407.7212 0.00763780073 28.80 +1 601.851 636.014 0.0163829179 28.80 +2 601.821 517.412 0.0317742034 28.80 +4 601.812 568.247 0.0148357676 28.80 +5 601.852 465.3592 0.00974658915 28.80 +6 601.932 407.7297 0.00740412047 28.80 +1 601.862 635.953 0.0241267486 28.80 +2 601.902 517.44 0.0197484177 28.80 +4 601.856 568.213 0.0302340867 28.80 +5 601.847 465.3238 0.00926477199 28.80 +6 601.877 407.7101 0.00642565172 28.80 +1 555.382 591.676 0.0198595065 31.50 +2 555.391 483.4452 0.00794707493 31.50 +4 555.383 529.713 0.0170909333 31.50 +5 555.4 435.7354 0.00920782276 31.50 +6 555.429 382.8879 0.0101118248 31.50 +1 555.363 591.694 0.022054478 31.50 +2 555.42 483.4395 0.0137922079 31.50 +4 555.413 529.69 0.0114017543 31.50 +5 555.394 435.7071 0.00521238909 31.50 +6 555.405 382.9052 0.00913542555 31.50 +1 555.348 591.616 0.0246657657 31.50 +2 555.372 483.4166 0.0127892142 31.50 +4 555.409 529.707 0.030101495 31.50 +5 555.399 435.6992 0.0085085839 31.50 +6 555.419 382.8893 0.0122409558 31.50 +1 510.204 548.353 0.0264971697 34.60 +2 510.247 450.1873 0.0111803846 34.60 +4 510.309 491.8518 0.0136101433 34.60 +5 510.257 406.5326 0.0104328328 34.60 +6 510.245 358.3526 0.00872949025 34.60 +1 510.22 548.296 0.0317867897 34.60 +2 510.19 450.1579 0.00660371108 34.60 +4 510.223 491.8179 0.00945140201 34.60 +5 510.258 406.5139 0.00901271324 34.60 +6 510.261 358.3316 0.00524061065 34.60 +1 510.214 548.344 0.0202089089 34.60 +2 510.278 450.1406 0.00895678514 34.60 +4 510.273 491.8029 0.00880164757 34.60 +5 510.281 406.5055 0.00977880361 34.60 +6 510.286 358.337 0.00605970296 34.60 +1 469.5216 509.185 0.0247891105 37.90 +2 469.5244 419.958 0.00968710483 37.90 +4 469.5367 457.598 0.00635767253 37.90 +5 469.5411 379.8711 0.00530367797 37.90 +6 469.5177 335.859 0.00715122367 37.90 +1 469.5156 509.137 0.0176663522 37.90 +2 469.5074 419.9195 0.00882751381 37.90 +4 469.5132 457.6041 0.00644585138 37.90 +5 469.5067 379.85 0.00786638418 37.90 +6 469.485 335.8453 0.00927043688 37.90 +1 469.4915 509.156 0.0181769084 37.90 +2 469.4832 419.8937 0.00767990885 37.90 +4 469.485 457.5555 0.0046222289 37.90 +5 469.4844 379.8555 0.00829849384 37.90 +6 469.4902 335.856 0.00604317797 37.90 +1 431.1474 471.6183 0.00693404644 41.60 +2 431.1639 390.9407 0.00956247876 41.60 +4 431.1478 424.8712 0.00714394849 41.60 +5 431.1338 354.2609 0.00442142511 41.60 +6 431.1226 314.1446 0.00792237338 41.60 +1 431.1279 471.6024 0.00600533097 41.60 +2 431.1382 390.9251 0.0054377385 41.60 +4 431.1207 424.8462 0.00541811775 41.60 +5 431.1194 354.2368 0.00687284512 41.60 +6 431.128 314.1612 0.00706937055 41.60 +1 431.1146 471.5773 0.0081363997 41.60 +2 431.1189 390.8957 0.0089196973 41.60 +4 431.1252 424.8488 0.0100097952 41.60 +5 431.1096 354.2547 0.00918373562 41.60 +6 431.0935 314.1352 0.00981203343 41.60 +1 396.1505 437.2366 0.00782329854 45.60 +2 396.1305 364.1582 0.0090673039 45.60 +4 396.1299 394.719 0.00581893461 45.60 +5 396.1286 330.5361 0.00733682493 45.60 +6 396.1157 293.9809 0.0118822978 45.60 +1 396.1238 437.2341 0.0102503171 45.60 +2 396.1423 364.1449 0.00678888798 45.60 +4 396.1351 394.7147 0.0129538025 45.60 +5 396.131 330.5315 0.00914576405 45.60 +6 396.1241 293.9819 0.00769473846 45.60 +1 396.1299 437.2305 0.00784378735 45.60 +2 396.1134 364.1402 0.00810900734 45.60 +4 396.0998 394.7111 0.00765173183 45.60 +5 396.0985 330.5069 0.00719645746 45.60 +6 396.0886 293.9691 0.00763079288 45.60 +1 363.7258 405.1648 0.00722329565 50.00 +2 363.7053 339.0115 0.0100441525 50.00 +4 363.7027 366.502 0.013460312 50.00 +5 363.6939 308.1834 0.00869620607 50.00 +6 363.6573 274.9091 0.00657487642 50.00 +1 363.6505 405.0783 0.0102255073 50.00 +2 363.638 338.9653 0.00721810224 50.00 +4 363.6211 366.4315 0.00611432744 50.00 +5 363.6096 308.1337 0.00700435579 50.00 +6 363.6197 274.8743 0.00981534513 50.00 +1 363.6332 405.0566 0.00831288157 50.00 +2 363.6482 338.9748 0.00673320132 50.00 +4 363.6335 366.4502 0.00705237549 50.00 +5 363.6261 308.1458 0.00638090903 50.00 +6 363.6253 274.8928 0.00504737556 50.00 +1 333.8374 375.3288 0.00922474932 54.80 +2 333.8275 315.564 0.0103566404 54.80 +4 333.8019 340.2073 0.00831630928 54.80 +5 333.7722 287.2842 0.00613481866 54.80 +6 333.7725 256.9966 0.00907325741 54.80 +1 333.7734 375.2693 0.00884313293 54.80 +2 333.7566 315.5314 0.00976647326 54.80 +4 333.7564 340.1866 0.00607815762 54.80 +5 333.7598 287.2458 0.00785977099 54.80 +6 333.7369 256.9734 0.00870080456 54.80 +1 333.7247 375.2182 0.00893286068 54.80 +2 333.7296 315.4807 0.00925316162 54.80 +4 333.7315 340.158 0.00730342385 54.80 +5 333.7248 287.2337 0.00652387921 54.80 +6 333.7144 256.9813 0.00568691481 54.80 +1 305.8847 347.1572 0.00629730101 60.10 +2 305.869 293.3236 0.00815009202 60.10 +4 305.8638 315.3628 0.0101151372 60.10 +5 305.8542 267.4077 0.00629769799 60.10 +6 305.8503 239.9566 0.00775912366 60.10 +1 305.8748 347.1465 0.00755810823 60.10 +2 305.8834 293.336 0.00776788259 60.10 +4 305.8919 315.3934 0.00553389555 60.10 +5 305.9072 267.4395 0.00566965607 60.10 +6 305.9287 239.9896 0.00737861776 60.10 +1 305.936 347.1984 0.00957099786 60.10 +2 305.9546 293.3778 0.00568999121 60.10 +4 305.9559 315.4556 0.0121170954 60.10 +5 305.9595 267.4777 0.00820737473 60.10 +6 305.9564 240.0117 0.00461530064 60.10 +1 281.0401 321.855 0.00736885337 65.90 +2 280.9987 273.2523 0.00682356212 65.90 +4 280.9601 292.9493 0.00622743928 65.90 +5 280.9186 249.3531 0.00915035518 65.90 +6 280.8787 224.3512 0.00770298643 65.90 +1 280.8319 321.6641 0.00664748073 65.90 +2 280.8096 273.0981 0.0068606851 65.90 +4 280.7757 292.7934 0.00931793969 65.90 +5 280.7385 249.2208 0.00567591402 65.90 +6 280.7124 224.2776 0.00543911758 65.90 +1 280.704 321.5243 0.00731853811 65.90 +2 280.7027 273.0105 0.00613392207 65.90 +4 280.707 292.7296 0.00314388295 65.90 +5 280.6994 249.2049 0.00640694935 65.90 +6 280.6897 224.2536 0.0048583948 65.90 +1 257.9599 298.155 0.00722495675 72.30 +2 257.8943 254.3705 0.0105111845 72.30 +4 257.8384 271.9252 0.00885866807 72.30 +5 257.8007 232.374 0.00567626638 72.30 +6 257.7486 209.6466 0.00524633205 72.30 +1 257.6944 297.8932 0.00770298643 72.30 +2 257.6523 254.1622 0.00737807563 72.30 +4 257.6187 271.7083 0.00485190684 72.30 +5 257.5797 232.1943 0.00562147667 72.30 +6 257.5399 209.5254 0.00963140696 72.30 +1 257.5036 297.7057 0.00789183122 72.30 +2 257.4732 253.998 0.00775757694 72.30 +4 257.4369 271.5368 0.00509666558 72.30 +5 257.4104 232.0852 0.00684222186 72.30 +6 257.3884 209.4126 0.00731600984 72.30 +1 236.4479 275.8302 0.00617057534 79.20 +2 236.4009 236.513 0.00589576119 79.20 +4 236.351 252.0841 0.00641474863 79.20 +5 236.3064 216.2628 0.00717328377 79.20 +6 236.2435 195.6834 0.00686323539 79.20 +1 236.197 275.5812 0.00688011628 79.20 +2 236.1604 236.3197 0.00772146359 79.20 +4 236.1177 251.8911 0.00563817346 79.20 +5 236.0833 216.1147 0.00866723716 79.20 +6 236.0573 195.5608 0.00675988166 79.20 +1 236.016 275.3788 0.00790544116 79.20 +2 235.9884 236.2003 0.00817074048 79.20 +4 235.9632 251.7593 0.00693116152 79.20 +5 235.9318 215.9893 0.00920874584 79.20 +6 235.9033 195.4533 0.0104067766 79.20 +1 216.2664 254.6491 0.00782361809 86.90 +2 216.2291 219.5192 0.0114706582 86.90 +4 216.1778 233.2671 0.00667899693 86.90 +5 216.1196 200.898 0.00762627039 86.90 +6 216.0874 182.3143 0.00690659105 86.90 +1 216.0467 254.4376 0.00488917171 86.90 +2 216.025 219.352 0.00696132171 86.90 +4 215.9965 233.0772 0.00597461296 86.90 +5 215.9532 200.778 0.00661513416 86.90 +6 215.9279 182.209 0.00842970937 86.90 +1 215.8931 254.2713 0.00478131781 86.90 +2 215.8723 219.2172 0.00604780952 86.90 +4 215.8486 232.9569 0.00748257977 86.90 +5 215.8285 200.6566 0.00605508051 86.90 +6 215.7952 182.1032 0.00422563605 86.90 +1 197.8524 235.124 0.00491528229 95.30 +2 197.8266 203.7796 0.00842045129 95.30 +4 197.7861 215.8394 0.0058994915 95.30 +5 197.7342 186.6222 0.00926908841 95.30 +6 197.6982 169.8362 0.00672874431 95.30 +1 197.6581 234.8975 0.00484200372 95.30 +2 197.6306 203.6048 0.0113673216 95.30 +4 197.5817 215.6623 0.00685572753 95.30 +5 197.5444 186.5036 0.0102266319 95.30 +6 197.5112 169.7325 0.0105548567 95.30 +1 197.5057 234.7287 0.00683820152 95.30 +2 197.4829 203.4795 0.00697172862 95.30 +4 197.4491 215.5285 0.00982471374 95.30 +5 197.4299 186.3895 0.00695880737 95.30 +6 197.4116 169.6342 0.00530810701 95.30 +1 181.66 217.7176 0.00504816798 104.00 +2 181.6226 189.6869 0.00672971025 104.00 +4 181.574 200.301 0.00802620707 104.00 +5 181.5373 173.8188 0.00659059937 104.00 +6 181.5316 158.5792 0.00336689768 104.00 +1 181.4781 217.5279 0.00552530542 104.00 +2 181.4447 189.5333 0.0080000625 104.00 +4 181.4047 200.1318 0.00678203509 104.00 +5 181.3724 173.6972 0.0103487197 104.00 +6 181.3477 158.4689 0.00313831165 104.00 +1 181.3087 217.3621 0.0076111103 104.00 +2 181.2778 189.4239 0.00756894973 104.00 +4 181.2557 200.0053 0.00576203089 104.00 +5 181.2441 173.6019 0.0104761157 104.00 +6 181.2358 158.3848 0.00245275355 104.00 +1 164.5775 199.2046 0.00587401055 115.00 +2 164.5479 174.6164 0.00802770204 115.00 +4 164.5157 183.6977 0.00597503138 115.00 +5 164.4765 160.0883 0.00748872486 115.00 +6 164.4631 146.5004 0.00293666477 115.00 +1 164.4225 199.0013 0.00602834969 115.00 +2 164.3736 174.4779 0.0085093478 115.00 +4 164.3449 183.5377 0.0061058169 115.00 +5 164.3406 159.9749 0.00586080199 115.00 +6 164.3211 146.3975 0.0012349089 115.00 +1 164.2646 198.8458 0.00833882486 115.00 +2 164.244 174.3428 0.00764696018 115.00 +4 164.2288 183.4097 0.00524032442 115.00 +5 164.21 159.8714 0.0115889603 115.00 +6 164.1863 146.3155 0.00276495931 115.00 +1 150.3088 183.5803 0.0111409605 126.00 +2 150.2698 161.857 0.00993680029 126.00 +4 150.2342 169.6489 0.0093823771 126.00 +5 150.2071 148.3897 0.00208350666 126.00 +6 150.1831 136.1943 0.00383679554 126.00 +1 150.1395 183.382 0.00928008621 126.00 +2 150.1134 161.7236 0.00926951994 126.00 +4 150.0851 169.5099 0.0100523132 126.00 +5 150.0655 148.2583 0.00116661905 126.00 +6 150.0437 136.0902 0.00269369635 126.00 +1 150.01 183.2494 0.00973776155 126.00 +2 149.9807 161.6077 0.00743511937 126.00 +4 149.9627 169.4001 0.00719923607 126.00 +5 149.9505 148.1709 0.00177454219 126.00 +6 149.9353 136.0158 0.00228823076 126.00 +1 137.1943 168.9619 0.00981677136 138.00 +2 137.164 149.8441 0.0026737614 138.00 +4 137.1365 156.4645 0.00251495527 138.00 +5 137.1092 137.4296 0.00227683992 138.00 +6 137.0818 126.4886 0.0021872357 138.00 +1 137.0455 168.8167 0.00702858449 138.00 +2 137.0202 149.7149 0.00259403161 138.00 +4 137.0015 156.3395 0.00237170825 138.00 +5 136.9823 137.3215 0.00349070194 138.00 +6 136.9608 126.3923 0.00270203627 138.00 +1 136.9271 168.6832 0.0100247693 138.00 +2 136.9141 149.6169 0.00248777009 138.00 +4 136.9036 156.2336 0.00178437664 138.00 +5 136.8859 137.2455 0.00208446636 138.00 +6 136.8655 126.3301 0.00267001873 138.00 +1 125.264 155.5025 0.00274681634 151.00 +2 125.24 138.7979 0.00141739197 151.00 +4 125.216 144.363 0.00178885438 151.00 +5 125.188 127.2855 0.00335335653 151.00 +6 125.1633 117.4579 0.00245132617 151.00 +1 125.1358 155.3463 0.00310821492 151.00 +2 125.1129 138.6794 0.00175613211 151.00 +4 125.0945 144.2409 0.00315737233 151.00 +5 125.0773 127.1873 0.00235817726 151.00 +6 125.0567 117.3797 0.00233259512 151.00 +1 125.0366 155.2381 0.00247568172 151.00 +2 125.0259 138.5917 0.00159405144 151.00 +4 125.007 144.1437 0.00237507895 151.00 +5 124.989 127.1119 0.00284763059 151.00 +6 124.9701 117.3144 0.00294006803 151.00 +1 113.7857 142.4288 0.0024240462 166.00 +2 113.7605 127.9948 0.00192769292 166.00 +4 113.7302 132.5364 0.00337994083 166.00 +5 113.698 117.3237 0.00218197159 166.00 +6 113.677 108.5735 0.00200624026 166.00 +1 113.6631 142.2899 0.0027944588 166.00 +2 113.6512 127.8869 0.00352831404 166.00 +4 113.6302 132.4212 0.00362987603 166.00 +5 113.6053 117.2394 0.00277560804 166.00 +6 113.5865 108.4995 0.00245051015 166.00 +1 113.5726 142.1801 0.00105309069 166.00 +2 113.5521 127.7995 0.00278298401 166.00 +4 113.5367 132.3322 0.00303578655 166.00 +5 113.5257 117.1657 0.00202014851 166.00 +6 113.5084 108.4404 0.00236304888 166.00 +1 103.3629 130.4286 0.00295702553 182.00 +2 103.3478 118.0549 0.00360957061 182.00 +4 103.334 121.666 0.00319374388 182.00 +5 103.3238 108.1511 0.00303792692 182.00 +6 103.3115 100.3635 0.00343001458 182.00 +1 103.3014 130.3501 0.00205645326 182.00 +2 103.2908 117.997 0.00242487113 182.00 +4 103.2804 121.6023 0.0022805701 182.00 +5 103.2713 108.1041 0.00206131026 182.00 +6 103.2639 100.3234 0.00235031913 182.00 +1 103.2497 130.2897 0.0022407588 182.00 +2 103.2437 117.945 0.00350142828 182.00 +4 103.2344 121.5504 0.0020746084 182.00 +5 103.2268 108.067 0.00212602916 182.00 +6 103.2188 100.2903 0.00295989865 182.00 +1 94.4821 120.0741 0.00223360695 199.00 +2 94.4623 109.4267 0.00187643279 199.00 +4 94.4371 112.2325 0.00282223316 199.00 +5 94.417 100.1439 0.00255127419 199.00 +6 94.4016 93.1615 0.00339190212 199.00 +1 94.3801 119.9616 0.00284323759 199.00 +2 94.3698 109.3396 0.00295702553 199.00 +4 94.3523 112.1452 0.00316164514 199.00 +5 94.335 100.0675 0.00280089271 199.00 +6 94.3228 93.0977 0.00153003268 199.00 +1 94.3103 119.8823 0.00271679959 199.00 +2 94.2951 109.2758 0.00316796465 199.00 +4 94.2872 112.0742 0.00241163845 199.00 +5 94.2819 100.0147 0.00324052465 199.00 +6 94.2677 93.057 0.0029189039 199.00 +1 86.0266 110.1223 0.00205450724 218.00 +2 86.0096 101.1203 0.00275699111 218.00 +4 85.991 103.1602 0.00209666402 218.00 +5 85.9718 92.4162 0.00298596718 218.00 +6 85.9577 86.1938 0.00148189068 218.00 +1 85.942 110.0254 0.00295702553 218.00 +2 85.9291 101.0463 0.00260403533 218.00 +4 85.9192 103.0847 0.00169144908 218.00 +5 85.9083 92.3549 0.00285114012 218.00 +6 85.8937 86.147 0.00273495887 218.00 +1 85.8791 109.9545 0.00173925271 218.00 +2 85.8687 100.9903 0.00183330303 218.00 +4 85.8609 103.0274 0.0020356817 218.00 +5 85.8564 92.3039 0.00321698617 218.00 +6 85.8466 86.1038 0.00222620754 218.00 +1 78.2943 100.9189 0.00337179477 239.00 +2 78.2809 93.415 0.0025845696 239.00 +4 78.2661 94.7523 0.00184959455 239.00 +5 78.2464 85.2341 0.00271459021 239.00 +6 78.2302 79.6992 0.00205815451 239.00 +1 78.2195 100.8331 0.00199724811 239.00 +2 78.2107 93.3473 0.00328952884 239.00 +4 78.2005 94.6877 0.00199022612 239.00 +5 78.1878 85.1706 0.00277560804 239.00 +6 78.1808 79.6508 0.00245682722 239.00 +1 78.1686 100.7674 0.00302390476 239.00 +2 78.1626 93.3005 0.00302076149 239.00 +4 78.153 94.6304 0.00221449769 239.00 +5 78.1423 85.1339 0.00332400361 239.00 +6 78.1343 79.6126 0.0022009089 239.00 +1 71.2994 92.4992 0.00177651344 262.00 +2 71.2852 86.3567 0.00198015151 262.00 +4 71.2707 87.0451 0.00253160028 262.00 +5 71.2578 78.6175 0.00239269722 262.00 +6 71.2491 73.7065 0.002228228 262.00 +1 71.2356 92.4238 0.00283125414 262.00 +2 71.2265 86.2944 0.00209857094 262.00 +4 71.2174 86.9778 0.00203371581 262.00 +5 71.2071 78.5678 0.00296580512 262.00 +6 71.1937 73.6576 0.0019193749 262.00 +1 71.1894 92.3695 0.0025622256 262.00 +2 71.184 86.2514 0.00264650713 262.00 +4 71.1762 86.9352 0.00197888858 262.00 +5 71.1686 78.53 0.00206881609 262.00 +6 71.1612 73.629 0.00284604989 262.00 +1 64.8217 84.6175 0.002228228 288.00 +2 64.8091 79.7254 0.00233323809 288.00 +4 64.7974 79.8023 0.00170909333 288.00 +5 64.784 72.3895 0.00307652401 288.00 +6 64.7722 68.0345 0.0023843238 288.00 +1 64.7609 84.5481 0.0031351236 288.00 +2 64.7542 79.6646 0.00436394317 288.00 +4 64.7427 79.7508 0.00307180729 288.00 +5 64.734 72.3448 0.00251316533 288.00 +6 64.7297 67.995 0.00339411255 288.00 +1 64.7273 84.4953 0.00178913387 288.00 +2 64.7165 79.6334 0.00219180291 288.00 +4 64.7078 79.7155 0.00191963538 288.00 +5 64.7095 72.3106 0.00316291005 288.00 +6 64.7019 67.9718 0.00262602361 288.00 +1 61.7908 80.9024 0.00232894826 302.00 +2 61.7808 76.5936 0.001877232 302.00 +4 61.771 76.3871 0.00213752193 302.00 +5 61.7625 69.448 0.00221359436 302.00 +6 61.7546 65.3534 0.00220997738 302.00 +1 61.7483 80.8481 0.00158398232 302.00 +2 61.7421 76.5513 0.00264971697 302.00 +4 61.7269 76.3406 0.0027971414 302.00 +5 61.7204 69.4113 0.00139319776 302.00 +6 61.7141 65.3183 0.00265348827 302.00 +1 61.7119 80.8057 0.00280731188 302.00 +2 61.7076 76.5174 0.00158240324 302.00 +4 61.7009 76.3078 0.00203371581 302.00 +5 61.6948 69.3807 0.00219567757 302.00 +6 61.6917 65.3007 0.00262316603 302.00 +1 60.2125 78.9602 0.00289413199 310.00 +2 60.2014 74.9624 0.00166853229 310.00 +4 60.1903 74.5945 0.00175641681 310.00 +5 60.1798 67.8927 0.00226737734 310.00 +6 60.1716 63.9387 0.00226737734 310.00 +1 60.1583 78.8973 0.00270573465 310.00 +2 60.1519 74.9064 0.00194525063 310.00 +4 60.143 74.5389 0.00247971773 310.00 +5 60.1339 67.8494 0.0027971414 310.00 +6 60.1273 63.8999 0.00280873637 310.00 +1 60.123 78.8491 0.00210451895 310.00 +2 60.1207 74.8715 0.00136565003 310.00 +4 60.1144 74.5101 0.00199223493 310.00 +5 60.1109 67.8274 0.0018984204 310.00 +6 60.1059 63.8754 0.00194010309 310.00 diff --git a/calib_data/_calib_data/calib_2022-03-08.txt b/calib_data/_calib_data/calib_2022-03-08.txt new file mode 100644 index 0000000..1315dd9 --- /dev/null +++ b/calib_data/_calib_data/calib_2022-03-08.txt @@ -0,0 +1,374 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 31677.8 9975.23 0.226737734 1.38 +4 31677.46 11472.43 0.389371288 1.38 +1 31677.98 9974.18 0.306855015 1.38 +4 31676.66 11471.86 0.354457332 1.38 +1 31674.26 9973.38 0.284534708 1.38 +4 31676.51 11472.3 0.277488739 1.38 +1 31375.57 9892.79 0.20709901 1.42 +4 31375.52 11375.63 0.33288136 1.42 +1 31375.76 9893.37 0.225853935 1.42 +4 31378.42 11375.32 0.299265768 1.42 +1 31377.37 9892.63 0.204963411 1.42 +4 31379.31 11375.36 0.171580885 1.42 +1 26878.95 8680.6 0.327414111 1.51 +4 26879.65 9943.36 0.302720994 1.51 +1 26881.2 8680.65 0.158271918 1.51 +4 26882.1 9943.3 0.491528229 1.51 +1 26882.55 8680.44 0.126649122 1.51 +4 26882.66 9943.59 0.317001577 1.51 +1 21532.01 7199.96 0.24132965 1.66 +4 21533.17 8203.63 0.184959455 1.66 +1 21533.75 7200.17 0.330166625 1.66 +4 21534.24 8203.78 0.228385639 1.66 +1 21532.29 7200.93 0.318135191 1.66 +4 21534.01 8203.45 0.173925271 1.66 +1 17516.37 6053.66 0.265781865 1.82 +4 17515.75 6862.79 0.297808663 1.82 +1 17517.12 6053.06 0.317238081 1.82 +4 17516.98 6862.11 0.200224874 1.82 +1 17517.4 6053.22 0.396938282 1.82 +4 17516.74 6862.31 0.37079644 1.82 +1 14509.93 5170.94 0.864430448 1.99 +4 14511.2 5834.62 1.29698111 1.99 +1 14507.89 5171.57 1.1986701 1.99 +4 14510.87 5836 1.41088625 1.99 +1 14513.93 5170.62 1.4952458 1.99 +4 14510.59 5835.7 1.10462663 1.99 +1 12086.99 4436.522 0.263236776 2.18 +4 12087.98 4985.313 0.471302557 2.18 +1 12087.43 4436.499 0.344735986 2.18 +4 12087.43 4985.338 0.433111533 2.18 +1 12087.95 4436.467 0.386354889 2.18 +4 12086.88 4985.586 0.364343794 2.18 +1 10158.59 3838.405 0.236665376 2.39 +4 10158.94 4295.612 0.225130185 2.39 +1 10158.13 3838.58 0.160704698 2.39 +4 10159.07 4295.444 0.149380052 2.39 +1 10158.99 3838.353 0.135477304 2.39 +4 10159.06 4295.687 0.138246519 2.39 +1 8617.84 3347.611 0.180750934 2.62 +4 8618.15 3731.814 0.176245284 2.62 +1 8617.56 3347.456 0.144084697 2.62 +4 8618.23 3731.946 0.22001 2.62 +1 8617.98 3347.551 0.155437769 2.62 +4 8618.25 3732.224 0.154772091 2.62 +1 7345.06 2931.781 0.109703692 2.88 +4 7345.59 3257.126 0.126215688 2.88 +1 7344.87 2932.236 0.0989262351 2.88 +4 7345.52 3257.04 0.098366661 2.88 +1 7346.08 2932.076 0.0669656628 2.88 +4 7345.75 3257.1 0.090950536 2.88 +1 6363.05 2603.998 0.117164841 3.15 +4 6363.63 2883.211 0.0643187375 3.15 +1 6363.47 2603.934 0.114387062 3.15 +4 6363.54 2883.086 0.101046524 3.15 +1 6362.96 2603.981 0.0523536054 3.15 +4 6363.41 2883.252 0.0505331574 3.15 +1 5512.69 2313.651 0.0901271324 3.46 +4 5513.26 2553.46 0.0648536815 3.46 +1 5512.94 2313.661 0.0861330366 3.46 +4 5512.97 2553.232 0.10469766 3.46 +1 5512.68 2313.561 0.0895036312 3.46 +4 5512.79 2553.325 0.0756207643 3.46 +1 4826.668 2074.883 0.0432908766 3.79 +4 4826.637 2283.251 0.111089603 3.79 +1 4826.928 2074.913 0.0759084975 3.79 +4 4826.666 2283.213 0.0972013374 3.79 +1 4826.721 2074.924 0.0926304486 3.79 +4 4826.564 2283.263 0.0707679306 3.79 +1 4239.135 1865.962 0.0449399599 4.16 +4 4239.296 2047.471 0.0445522166 4.16 +1 4239.17 1866.022 0.110361225 4.16 +4 4239.245 2047.477 0.0811424673 4.16 +1 4239.289 1865.912 0.0424923523 4.16 +4 4239.255 2047.225 0.115648173 4.16 +1 3751.193 1688.928 0.0977220548 4.56 +4 3751.207 1848.374 0.0558068096 4.56 +1 3751.205 1688.902 0.052816664 4.56 +4 3751.354 1848.414 0.0752223371 4.56 +1 3751.313 1689.176 0.120201497 4.56 +4 3751.419 1848.388 0.0656932264 4.56 +1 3337.104 1535.514 0.0294686274 5.00 +4 3337.178 1676.758 0.0866579483 5.00 +1 3337.192 1535.548 0.0413956519 5.00 +4 3337.173 1677.045 0.0692712061 5.00 +1 3336.957 1535.486 0.024132965 5.00 +4 3337.051 1677.033 0.0460662566 5.00 +1 2983.319 1402.797 0.0255362487 5.48 +4 2983.409 1527.818 0.0334604244 5.48 +1 2983.6 1402.861 0.0438964691 5.48 +4 2983.656 1527.799 0.0187856328 5.48 +1 2983.455 1402.885 0.0369662008 5.48 +4 2983.7 1527.801 0.0216078689 5.48 +1 2677.116 1286.023 0.0330166625 6.01 +4 2677.418 1397.478 0.0271955879 6.01 +1 2677.383 1286.076 0.0372880678 6.01 +4 2677.211 1397.522 0.0321807396 6.01 +1 2677.332 1286.066 0.0454356688 6.01 +4 2677.585 1397.522 0.01787736 6.01 +1 2412.992 1183.795 0.0332941436 6.59 +4 2413.132 1283.685 0.0290602822 6.59 +1 2413.21 1183.753 0.0268346791 6.59 +4 2413.224 1283.664 0.0235881326 6.59 +1 2413.341 1183.868 0.0374913323 6.59 +4 2413.417 1283.721 0.0292044517 6.59 +1 2181.511 1092.786 0.0263514705 7.23 +4 2181.552 1182.586 0.03191238 7.23 +1 2181.46 1092.785 0.0263533679 7.23 +4 2181.605 1182.536 0.0288859828 7.23 +1 2181.491 1092.845 0.0201618452 7.23 +4 2181.607 1182.611 0.026474516 7.23 +1 1981.43 1013.112 0.0264121184 7.92 +4 1981.667 1094.283 0.0346135811 7.92 +1 1981.432 1013.158 0.0142688472 7.92 +4 1981.624 1094.263 0.0308561177 7.92 +1 1981.509 1013.157 0.0292249893 7.92 +4 1981.534 1094.356 0.0272102922 7.92 +1 1802.463 940.898 0.0280998221 8.69 +4 1802.663 1014.391 0.0271090391 8.69 +1 1802.61 940.88 0.0310483494 8.69 +4 1802.53 1014.393 0.0156236999 8.69 +1 1802.538 940.893 0.0151029798 8.69 +4 1802.726 1014.396 0.030469657 8.69 +1 1644.404 876.222 0.0136967149 9.53 +4 1644.46 942.971 0.0220658107 9.53 +1 1644.417 876.207 0.0346424595 9.53 +4 1644.588 942.966 0.0296378137 9.53 +1 1644.469 876.245 0.0229891279 9.53 +4 1644.366 942.97 0.0448998886 9.53 +1 1510.054 820.761 0.0181356003 10.40 +4 1510.12 881.896 0.0221900879 10.40 +1 1510.115 820.792 0.0245682722 10.40 +4 1510.085 881.897 0.0145636534 10.40 +1 1510.145 820.81 0.028 10.40 +4 1510.112 881.924 0.00918694726 10.40 +1 1372.541 762.953 0.0145636534 11.50 +4 1372.561 818.376 0.0209857094 11.50 +1 1372.575 762.963 0.023283041 11.50 +4 1372.554 818.393 0.0281442712 11.50 +1 1372.47 762.985 0.0269165377 11.50 +4 1372.545 818.367 0.0207870152 11.50 +1 1260.578 715.187 0.0221833271 12.60 +4 1260.592 766.004 0.0177313282 12.60 +1 1260.621 715.257 0.0289153938 12.60 +4 1260.606 766.03 0.0243721152 12.60 +1 1260.669 715.258 0.0241991735 12.60 +4 1260.717 765.947 0.0240437102 12.60 +1 1159.717 671.619 0.0161523992 13.80 +4 1159.732 718.203 0.0227178344 13.80 +1 1159.74 671.653 0.0156236999 13.80 +4 1159.741 718.222 0.0256046871 13.80 +1 1159.788 671.621 0.0365362833 13.80 +4 1159.771 718.212 0.0312345962 13.80 +1 1068.947 631.746 0.0197078664 15.10 +4 1068.901 674.65 0.0177763888 15.10 +1 1068.986 631.766 0.032471526 15.10 +4 1068.948 674.657 0.0167361883 15.10 +1 1068.986 631.806 0.0247870934 15.10 +4 1068.966 674.683 0.0244560831 15.10 +1 981.818 592.906 0.0127436259 16.60 +4 981.872 632.296 0.0292984641 16.60 +1 981.901 592.913 0.0219111844 16.60 +4 981.885 632.284 0.0127436259 16.60 +1 981.893 592.927 0.0214965113 16.60 +4 981.847 632.259 0.0280873637 16.60 +1 904.637 557.884 0.0223696223 18.20 +4 904.657 594.056 0.0252665787 18.20 +1 904.692 557.856 0.0234179418 18.20 +4 904.683 594.071 0.021234406 18.20 +1 904.694 557.913 0.0183874958 18.20 +4 904.703 594.122 0.0179888855 18.20 +1 835.549 525.935 0.0234200769 19.90 +4 835.602 559.394 0.02079423 19.90 +1 835.616 525.972 0.0341994152 19.90 +4 835.648 559.379 0.022997826 19.90 +1 835.65 526.035 0.0201121854 19.90 +4 835.642 559.347 0.0200524313 19.90 +1 770.792 495.2934 0.0116277255 21.80 +4 770.825 526.189 0.021883784 21.80 +1 770.83 495.2556 0.0146015068 21.80 +4 770.885 526.208 0.0356033706 21.80 +1 770.921 495.2605 0.0141019502 21.80 +4 770.904 526.21 0.0266833281 21.80 +1 710.723 466.2807 0.0136022425 23.90 +4 710.73 494.604 0.00482493523 23.90 +1 710.576 466.2595 0.00542263773 23.90 +4 710.642 494.5848 0.0108257101 23.90 +1 710.564 466.2543 0.0123402188 23.90 +4 710.662 494.5956 0.0124853514 23.90 +1 654.862 438.782 0.0102898008 26.20 +4 654.943 464.8598 0.0102389453 26.20 +1 654.867 438.8339 0.0104369057 26.20 +4 654.946 464.8475 0.00855949765 26.20 +1 654.835 438.7712 0.0126529048 26.20 +4 654.902 464.8529 0.0114249289 26.20 +1 601.848 411.9986 0.0106997196 28.80 +4 601.919 435.917 0.013604411 28.80 +1 601.851 412.0274 0.0095154611 28.80 +4 601.941 435.9144 0.0122124527 28.80 +1 601.898 412.0141 0.0110584357 28.80 +4 601.927 435.8983 0.00925532279 28.80 +1 555.347 387.9401 0.0074665253 31.50 +4 555.387 409.9215 0.00987749968 31.50 +1 555.372 387.9421 0.00741275927 31.50 +4 555.37 409.9383 0.00916738785 31.50 +1 555.42 387.9502 0.0104420305 31.50 +4 555.447 409.9377 0.00801130451 31.50 +1 510.235 363.9482 0.0133804335 34.60 +4 510.242 384.089 0.00823893197 34.60 +1 510.225 363.9487 0.0114638999 34.60 +4 510.282 384.0647 0.00899116233 34.60 +1 510.264 363.9494 0.00683988304 34.60 +4 510.301 384.0812 0.0100735297 34.60 +1 469.5048 341.8276 0.00652870584 37.90 +4 469.5164 360.2978 0.00815941174 37.90 +1 469.5285 341.8294 0.0078220202 37.90 +4 469.5209 360.2838 0.00784703766 37.90 +1 469.5248 341.8416 0.00570823966 37.90 +4 469.5201 360.2684 0.00725148261 37.90 +1 431.1351 320.3187 0.00756709984 41.60 +4 431.1389 337.1684 0.00747422237 41.60 +1 431.1285 320.3088 0.00904964088 41.60 +4 431.1295 337.1552 0.0064215263 41.60 +1 431.1276 320.3074 0.00711786485 41.60 +4 431.1196 337.159 0.00621449918 41.60 +1 396.1402 300.192 0.00686148672 45.60 +4 396.1376 315.5745 0.00940983528 45.60 +1 396.1259 300.179 0.00657114906 45.60 +4 396.1193 315.5685 0.00591481192 45.60 +1 396.1177 300.1642 0.00815328155 45.60 +4 396.1061 315.5585 0.00655934448 45.60 +1 363.7383 281.0304 0.00455894725 50.00 +4 363.7251 295.0716 0.00911065311 50.00 +1 363.7196 281.0238 0.00697251748 50.00 +4 363.706 295.0488 0.00590050845 50.00 +1 363.6692 281.0091 0.00649684539 50.00 +4 363.6549 295.0274 0.00844180076 50.00 +1 334.1309 263.1201 0.00743834659 54.80 +4 334.1032 275.8782 0.00642619639 54.80 +1 334.0636 263.0706 0.00646405446 54.80 +4 334.0353 275.8166 0.00844653775 54.80 +1 334.0074 263.0128 0.0095118873 54.80 +4 333.9803 275.788 0.00776659514 54.80 +1 305.988 245.6549 0.0074905941 60.10 +4 305.9926 257.2337 0.00675877208 60.10 +1 305.9998 245.6204 0.0086927556 60.10 +4 305.9807 257.2246 0.0125699642 60.10 +1 306.0062 245.6326 0.0099229028 60.10 +4 306.0119 257.237 0.0119758089 60.10 +1 280.8579 229.6455 0.00676054732 65.90 +4 280.8365 240.1469 0.00595222647 65.90 +1 280.824 229.6189 0.0056417196 65.90 +4 280.8083 240.1111 0.00744506548 65.90 +1 280.7846 229.5836 0.00742724713 65.90 +4 280.7705 240.1033 0.00791965908 65.90 +1 257.8815 214.6734 0.0131249381 72.30 +4 257.8363 224.1823 0.00867185101 72.30 +1 257.7838 214.6035 0.00604524607 72.30 +4 257.7382 224.1047 0.00566400918 72.30 +1 257.6816 214.5463 0.00725816781 72.30 +4 257.6335 224.0578 0.00753896545 72.30 +1 236.3307 200.3185 0.00697316284 79.20 +4 236.2908 208.9171 0.00830475767 79.20 +1 236.2321 200.2718 0.00734275153 79.20 +4 236.2023 208.8473 0.00897112033 79.20 +1 236.1549 200.2062 0.00537549998 79.20 +4 236.1183 208.7887 0.0070186181 79.20 +1 216.2762 186.6602 0.00411776638 86.90 +4 216.2435 194.3976 0.00731737658 86.90 +1 216.146 186.6061 0.00983305649 86.90 +4 216.1253 194.3298 0.00999479865 86.90 +1 216.0934 186.532 0.00909065454 86.90 +4 216.061 194.2481 0.00848109663 86.90 +1 197.8132 173.7902 0.00751505156 95.30 +4 197.7708 180.7208 0.00579793067 95.30 +1 197.7191 173.7228 0.00967656964 95.30 +4 197.6848 180.6699 0.00692307735 95.30 +1 197.6283 173.6863 0.008656847 95.30 +4 197.6011 180.6103 0.00439329034 95.30 +1 181.4678 162.1881 0.00792899741 104.00 +4 181.4466 168.4148 0.0112949546 104.00 +1 181.4199 162.1347 0.00620652882 104.00 +4 181.3879 168.3605 0.00880596389 104.00 +1 181.3422 162.1037 0.00911597499 104.00 +4 181.3213 168.311 0.00662268828 104.00 +1 164.4935 149.7885 0.0025622256 115.00 +4 164.4871 155.2705 0.00238012605 115.00 +1 164.4238 149.7337 0.00308885092 115.00 +4 164.4024 155.2126 0.00301728355 115.00 +1 164.3617 149.6808 0.00406152681 115.00 +4 164.3398 155.1651 0.00204181292 115.00 +1 150.1316 139.1553 0.00306936476 126.00 +4 150.1059 144.0298 0.00312985623 126.00 +1 150.0685 139.1105 0.00306022875 126.00 +4 150.0444 143.9802 0.00211565593 126.00 +1 150.0089 139.066 0.00181659021 126.00 +4 149.9881 143.9337 0.00253001976 126.00 +1 137.0353 129.2138 0.00271587923 138.00 +4 137.0183 133.5237 0.00203494472 138.00 +1 136.974 129.1734 0.00295702553 138.00 +4 136.9581 133.4766 0.00222800359 138.00 +1 136.93 129.1302 0.00271955879 138.00 +4 136.9073 133.4369 0.00192587642 138.00 +1 125.0998 119.9748 0.00336689768 151.00 +4 125.0684 123.7604 0.00420285617 151.00 +1 125.0513 119.9302 0.00455806977 151.00 +4 125.0298 123.7167 0.00317820704 151.00 +1 125.001 119.8868 0.00231430335 151.00 +4 124.9801 123.6841 0.00347404663 151.00 +1 113.5933 110.8696 0.0020356817 166.00 +4 113.5773 114.1718 0.00238243573 166.00 +1 113.5456 110.8398 0.00138419652 166.00 +4 113.53 114.1342 0.00228385639 166.00 +1 113.5082 110.7998 0.00233152311 166.00 +4 113.4918 114.0999 0.00157765649 166.00 +1 103.0988 102.3936 0.0022054478 182.00 +4 103.0941 105.255 0.00244540385 182.00 +1 103.0932 102.3874 0.00235031913 182.00 +4 103.0876 105.2466 0.00304039471 182.00 +1 103.0754 102.3814 0.00172742583 182.00 +4 103.071 105.2359 0.00164590401 182.00 +1 94.3077 95.1535 0.000815475322 199.00 +4 94.2942 97.6246 0.00378206293 199.00 +1 94.2684 95.1282 0.00186440339 199.00 +4 94.251 97.5922 0.00229259678 199.00 +1 94.2385 95.0945 0.00211778186 199.00 +4 94.2241 97.5656 0.00257759578 199.00 +1 85.9012 88.098 0.00261533937 218.00 +4 85.8858 90.2017 0.00304647337 218.00 +1 85.8651 88.0684 0.0027466343 218.00 +4 85.8553 90.1779 0.00149966663 218.00 +1 85.8392 88.0352 0.00174814187 218.00 +4 85.8213 90.1497 0.00187643279 218.00 +1 78.1107 81.4433 0.00337060825 239.00 +4 78.101 83.2079 0.00270721259 239.00 +1 78.0875 81.4133 0.00214965113 239.00 +4 78.0789 83.1867 0.00238348484 239.00 +1 78.0574 81.3899 0.00222013513 239.00 +4 78.0499 83.1594 0.0019089264 239.00 +1 71.0718 75.2909 0.00317946536 262.00 +4 71.0613 76.7613 0.00183874958 262.00 +1 71.0565 75.2738 0.00235711688 262.00 +4 71.0417 76.7439 0.00303792692 262.00 +1 71.0325 75.2515 0.00215522621 262.00 +4 71.0262 76.7244 0.00286426256 262.00 +1 64.6154 69.5492 0.00219453868 288.00 +4 64.6077 70.7403 0.00208830074 288.00 +1 64.5978 69.5287 0.00281087175 288.00 +4 64.5924 70.7172 0.00234861661 288.00 +1 64.5764 69.5096 0.00168641632 288.00 +4 64.571 70.7035 0.00245865817 288.00 +1 61.6351 66.8536 0.00253456111 302.00 +4 61.6241 67.9138 0.00296917497 302.00 +1 61.6152 66.8402 0.00277776889 302.00 +4 61.6044 67.8954 0.00265781865 302.00 +1 61.5966 66.8254 0.00197585425 302.00 +4 61.5899 67.8799 0.00164590401 302.00 +1 60.035 65.4045 0.00250699023 310.00 +4 60.0296 66.3974 0.00250279843 310.00 +1 60.016 65.3898 0.00282063823 310.00 +4 60.0121 66.3757 0.00298345437 310.00 +1 60.0058 65.3753 0.00242507732 310.00 +4 60.0035 66.3666 0.0023203448 310.00 diff --git a/calib_data/_calib_data/calib_2023-06-15.txt b/calib_data/_calib_data/calib_2023-06-15.txt new file mode 100644 index 0000000..d7805a7 --- /dev/null +++ b/calib_data/_calib_data/calib_2023-06-15.txt @@ -0,0 +1,17 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 23301.55 58932.4 7.66601591 1.51 +2 23320.3 60921.37 5.22145669 1.51 +4 23332.55 56533.12 5.13470155 1.51 +5 23332.17 71614.8 5.25889722 1.51 +6 23335.76 49527.6 4.82528756 1.51 +1 23386.02 59173.18 29.5474561 1.51 +2 23445.77 61291.68 4.22456625 1.51 +4 23474.12 56939.86 2.13589326 1.51 +5 23486.33 72170 6.02660767 1.51 +6 23488.29 49902.69 2.93115847 1.51 +1 23484.26 59480.38 4.53150748 1.51 +2 23461.04 61332.13 5.52005525 1.51 +4 23439.94 56837.05 4.13425326 1.51 +5 23429.33 71938.5 16.8637185 1.51 +6 23414.06 49711.95 4.01228738 1.51 diff --git a/calib_data/_calib_data/calib_2023-06-16.txt b/calib_data/_calib_data/calib_2023-06-16.txt new file mode 100644 index 0000000..7d5a303 --- /dev/null +++ b/calib_data/_calib_data/calib_2023-06-16.txt @@ -0,0 +1,917 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 13107.94 30702.88 3.00957804 1.70 +2 13113.22 31572.68 2.91227746 1.70 +4 13111.4 29495.33 1.99534709 1.70 +5 13106 36521.47 3.61933834 1.70 +6 13107.57 26274.42 3.18348237 1.70 +1 13109.37 30725.75 1.86806049 1.70 +2 13109.12 31543.84 4.33520934 1.70 +4 13109.75 29513.99 4.32824329 1.70 +5 13108.42 36521.07 1.70815983 1.70 +6 13109.95 26280.28 2.81036652 1.70 +1 13113.38 30710.2 3.33160622 1.70 +2 13113.89 31551.17 4.05230922 1.70 +4 13114.94 29528.53 3.16919706 1.70 +5 13115.4 36549.92 4.00579081 1.70 +6 13111.17 26294.32 1.64358146 1.70 +1 19545.63 48349.7 29.2270046 1.57 +2 19556.71 49846.96 11.7534693 1.57 +4 19545.85 46308.83 18.772022 1.57 +5 19558.29 58235.3 13.2519961 1.57 +6 19586.65 40740.11 18.5676302 1.57 +1 19555.04 48230.26 41.1688795 1.57 +2 19570.75 49823.43 18.5624139 1.57 +4 19558.01 46324.35 15.8378108 1.57 +5 19565.95 58161.92 11.7655327 1.57 +6 19578.05 40780 12.2491306 1.57 +1 19578.99 48331.87 13.1030229 1.57 +2 19560.93 49737.03 11.8861941 1.57 +4 19536.93 46329.62 13.0721674 1.57 +5 19524.52 58092.34 16.4126732 1.57 +6 19527.82 40706.04 16.1061553 1.57 +1 16082.59 38557.66 32.314338 1.72 +2 16066.05 39827.6 31.3191858 1.72 +4 16043.31 37120.04 21.2452592 1.72 +5 16053.06 46136.08 21.6309029 1.72 +6 16071.14 32822.36 9.37428611 1.72 +1 16100.87 38555.44 11.0480695 1.72 +2 16074.01 39735.31 34.0329089 1.72 +4 16061.34 37108.15 27.5889516 1.72 +5 16085.13 46109.1 12.9140002 1.72 +6 16101.39 32822.98 13.8340941 1.72 +1 16052.92 38624.09 12.6408026 1.72 +2 16046.7 39814.68 16.8285163 1.72 +4 16063.43 37095.9 11.8202115 1.72 +5 16064.96 46104.59 29.0319632 1.72 +6 16052.99 32771.93 19.4681691 1.72 +1 12034.52 27746.86 3.22590142 1.89 +2 12028.29 28541.09 4.11580976 1.89 +4 12025.43 26700.87 5.17793492 1.89 +5 12027.83 32796.19 10.2595853 1.89 +6 12036.38 23812.01 4.14807064 1.89 +1 12030.65 27715.19 7.70787195 1.89 +2 12015.72 28523.07 4.00135102 1.89 +4 12022.5 26694.61 4.98905703 1.89 +5 12020.14 32842.15 3.33922895 1.89 +6 12009.66 23783.65 2.79843706 1.89 +1 12022.1 27729.9 4.60560528 1.89 +2 12020.89 28517.88 8.33364026 1.89 +4 12023.77 26688.75 3.17090681 1.89 +5 12026.46 32834.17 7.50991411 1.89 +6 12027.56 23802.34 2.85601821 1.89 +1 10383.12 23439.99 7.48792962 2.07 +2 10378.17 24096.68 2.96647265 2.07 +4 10362.66 22572.87 7.33397641 2.07 +5 10360.14 27500.92 6.42647337 2.07 +6 10367.26 20202.8 3.29211178 2.07 +1 10369.99 23412.58 2.26162773 2.07 +2 10372.28 24076.11 5.08620586 2.07 +4 10366.49 22572.49 4.72089928 2.07 +5 10364.56 27557.06 3.16894935 2.07 +6 10362.6 20192.15 3.62671339 2.07 +1 10354.33 23360.18 3.74960798 2.07 +2 10351.35 24048.14 4.1661301 2.07 +4 10355.72 22556.19 3.36468275 2.07 +5 10352.64 27512.55 7.45021141 2.07 +6 10351.37 20161.85 3.68505767 2.07 +1 8996.87 19871.76 3.87992783 2.27 +2 8996 20434.53 3.8304843 2.27 +4 8992.23 19210.07 2.20363563 2.27 +5 8991.55 23300.96 3.1771119 2.27 +6 8989.2 17232.5 4.47430442 2.27 +1 8987.93 19883.29 1.31866978 2.27 +2 8986.72 20436.52 2.52312505 2.27 +4 8983.75 19204.16 2.98640922 2.27 +5 8980.1 23276.83 5.53176373 2.27 +6 8982.46 17239.2 4.31247029 2.27 +1 8991.68 19889.44 2.87441124 2.27 +2 8991.57 20435.86 2.04490587 2.27 +4 8985.92 19196.92 1.02769645 2.27 +5 8983.4 23271.61 1.9501 2.27 +6 8985.07 17231.64 2.2597876 2.27 +1 7830.66 16991.47 2.73890672 2.49 +2 7834.21 17457.39 1.48885526 2.49 +4 7835.75 16444.03 1.52977449 2.49 +5 7832.03 19795.61 2.1213887 2.49 +6 7830.73 14798.67 0.767860664 2.49 +1 7832.32 16988.93 2.48197703 2.49 +2 7825.36 17441.18 2.20562009 2.49 +4 7826.31 16436.07 2.51555362 2.49 +5 7828.35 19787.16 3.24278276 2.49 +6 7826.95 14790.15 1.79634351 2.49 +1 7828.65 16983.47 1.85618156 2.49 +2 7827.71 17436.24 3.44535049 2.49 +4 7832.89 16430.43 2.02987931 2.49 +5 7830.54 19782.82 1.93358734 2.49 +6 7829.98 14792.26 1.93003627 2.49 +1 6879 14660.27 2.87722262 2.73 +2 6887.03 15080.44 3.75446934 2.73 +4 6881.53 14227.14 3.3964452 2.73 +5 6883.04 16989.3 8.23826438 2.73 +6 6889.59 12839.91 3.47244726 2.73 +1 6875.84 14628.33 3.19477855 2.73 +2 6880.52 15033.94 5.28850073 2.73 +4 6885.79 14195.67 2.79116642 2.73 +5 6881.68 16974.22 9.48391059 2.73 +6 6879.3 12818.25 2.29151696 2.73 +1 6877.28 14641.46 1.93634708 2.73 +2 6875.77 15031.93 1.92161651 2.73 +4 6877.82 14194.74 1.53617707 2.73 +5 6878.56 17000.62 1.35076275 2.73 +6 6880.68 12816.14 1.3939297 2.73 +1 6085.34 12720.42 3.70172392 2.99 +2 6081.3 13068.81 3.33947451 2.99 +4 6081.31 12321.89 2.97900822 2.99 +5 6070.05 14677.67 3.55125471 2.99 +6 6071.38 11161.25 1.61234302 2.99 +1 6078.21 12702.07 3.95413834 2.99 +2 6090.14 13104.98 3.65657763 2.99 +4 6097.33 12418.56 6.41065051 2.99 +5 6091.42 14726.09 7.56925954 2.99 +6 6079.82 11174.92 3.69812926 2.99 +1 6076.72 12715.04 2.33718634 2.99 +2 6079.42 13064.39 2.00810607 2.99 +4 6071.31 12324.82 0.764696018 2.99 +5 6078.01 14674.19 3.28010518 2.99 +6 6080.72 11189.65 1.77416177 2.99 +1 5410.6 11180.12 7.96896229 3.28 +2 5407.75 11387.78 3.62109928 3.28 +4 5402.69 10838.27 6.60263659 3.28 +5 5386.12 12802.7 7.08024011 3.28 +6 5364.49 9745.95 3.15893178 3.28 +1 5392.5 11127.29 4.10191297 3.28 +2 5416.59 11408.6 5.13990272 3.28 +4 5420.7 10806.9 12.6105432 3.28 +5 5433.82 12778.83 7.83484588 3.28 +6 5413.14 9766.99 4.32889016 3.28 +1 5402.48 11104.55 4.2384726 3.28 +2 5402.59 11459.43 7.39485024 3.28 +4 5369.79 10739.32 6.80658211 3.28 +5 5368.94 12801.07 12.3515428 3.28 +6 5389.67 9781.78 5.36206677 3.28 +1 4543.786 9147.81 0.29814426 3.60 +2 4541.656 9362.74 0.1877232 3.60 +4 4536.428 8884.26 1.43137696 3.60 +5 4530.231 10423.03 4.09802513 3.60 +6 4527.489 8085.89 3.4012483 3.60 +1 4525.71 9111.99 3.65298371 3.60 +2 4524.511 9326.48 3.73820278 3.60 +4 4522.893 8851.88 2.72256497 3.60 +5 4521.581 10398.7 0.152970585 3.60 +6 4520.455 8067.39 0.44417339 3.60 +1 4519.082 9093.16 0.259306768 3.60 +2 4518.082 9308.83 0.512649978 3.60 +4 4517.219 8837.15 0.354189215 3.60 +5 4515.857 10382.51 0.626330584 3.60 +6 4514.477 8056.48 0.260691388 3.60 +1 4004.902 7928.18 0.203371581 3.94 +2 4004.532 8109.19 0.289637705 3.94 +4 4004.108 7714.13 0.17149344 3.94 +5 4003.77 9018.04 0.192976683 3.94 +6 4003.649 7055.9 0.296647939 3.94 +1 4003.116 7923.29 0.318260899 3.94 +2 4002.572 8105.77 0.300682557 3.94 +4 4001.559 7709.76 0.27136691 3.94 +5 4001.084 9012.88 0.267507009 3.94 +6 4001.156 7052.21 0.144533733 3.94 +1 4000.64 7918.01 0.239770724 3.94 +2 4000.359 8099.96 0.204548283 3.94 +4 3999.76 7706.12 0.242816803 3.94 +5 3999.036 9006.68 0.288721319 3.94 +6 3998.935 7047.75 0.170440605 3.94 +1 3548.444 6910.48 0.275245345 4.32 +2 3548.142 7062.58 0.366005464 4.32 +4 3547.432 6729.34 0.276115918 4.32 +5 3547.091 7827.38 0.325207626 4.32 +6 3546.897 6172.38 0.30423675 4.32 +1 3546.901 6907.32 0.297590322 4.32 +2 3546.994 7060.53 0.208830074 4.32 +4 3546.653 6727.05 0.22901965 4.32 +5 3546.116 7825.35 0.235053185 4.32 +6 3546.04 6172.09 0.176889796 4.32 +1 3545.911 6904.96 0.216425507 4.32 +2 3545.338 7056.67 0.267973879 4.32 +4 3545.018 6724.6 0.173205081 4.32 +5 3545.024 7822.08 0.16235763 4.32 +6 3545.011 6168.7 0.204939015 4.32 +1 3169.959 6079.65 0.235902522 4.74 +2 3169.867 6207.94 0.272836948 4.74 +4 3169.621 5926.99 0.187856328 4.74 +5 3169.649 6861.05 0.18179659 4.74 +6 3169.827 5451.31 0.204670467 4.74 +1 3169.688 6078.56 0.287819388 4.74 +2 3169.673 6207.94 0.265781865 4.74 +4 3169.924 5927.29 0.171143215 4.74 +5 3169.973 6862.4 0.205912603 4.74 +6 3170.019 5451.05 0.276134025 4.74 +1 3169.886 6079.74 0.180665437 4.74 +2 3169.52 6207.38 0.282063823 4.74 +4 3169.023 5926.01 0.254342289 4.74 +5 3168.681 6859.67 0.214032708 4.74 +6 3168.472 5447.98 0.136967149 4.74 +1 2863.669 5415.97 0.242095023 5.20 +2 2863.61 5526.47 0.203494472 5.20 +4 2863.711 5284.32 0.139140217 5.20 +5 2863.755 6092.2 0.265329983 5.20 +6 2863.768 4870.037 0.0846410066 5.20 +1 2863.637 5416.42 0.252507426 5.20 +2 2863.523 5525.82 0.296917497 5.20 +4 2863.531 5283.95 0.184526421 5.20 +5 2863.631 6091.87 0.195473783 5.20 +6 2863.98 4870.617 0.0675581231 5.20 +1 2863.88 5416.8 0.227596134 5.20 +2 2863.759 5526.8 0.228035085 5.20 +4 2863.701 5284.52 0.173666347 5.20 +5 2864.035 6092.5 0.149666295 5.20 +6 2864.425 4871.083 0.0913679375 5.20 +1 2598.986 4849.09 0.111067547 5.70 +2 2598.912 4943.814 0.0690536024 5.70 +4 2598.906 4734.011 0.079037333 5.70 +5 2598.795 5436.77 0.268346791 5.70 +6 2598.831 4373.246 0.101835161 5.70 +1 2598.967 4849.57 0.0638748777 5.70 +2 2599.088 4944.18 0.159693456 5.70 +4 2598.926 4734.162 0.0915510786 5.70 +5 2598.805 5436.81 0.178016853 5.70 +6 2598.874 4373.597 0.140861989 5.70 +1 2598.901 4849.105 0.0750633066 5.70 +2 2599.066 4943.999 0.126605292 5.70 +4 2599.114 4734.495 0.100789384 5.70 +5 2598.965 5437.05 0.155724115 5.70 +6 2598.999 4373.633 0.0786517641 5.70 +1 2361.573 4348.232 0.0853674411 6.25 +2 2361.529 4429.175 0.073147112 6.25 +4 2361.274 4247.32 0.0633719181 6.25 +5 2361.124 4857.052 0.0687720874 6.25 +6 2361.08 3931.13 0.0696275807 6.25 +1 2360.825 4347.021 0.0696914629 6.25 +2 2360.734 4428 0.104115321 6.25 +4 2360.666 4246.012 0.118345258 6.25 +5 2360.669 4856.045 0.0828160612 6.25 +6 2360.514 3930.186 0.0875237111 6.25 +1 2360.192 4345.994 0.0814763769 6.25 +2 2360.495 4427.54 0.0703562364 6.25 +4 2360.574 4245.682 0.0675544225 6.25 +5 2360.252 4855.075 0.112216309 6.25 +6 2360.127 3929.784 0.102276097 6.25 +1 2148.83 3905.884 0.108519123 6.85 +2 2148.735 3975.152 0.0973221455 6.85 +4 2148.675 3817.189 0.0799681186 6.85 +5 2148.687 4349.001 0.0941642183 6.85 +6 2148.523 3540.652 0.0630523592 6.85 +1 2148.387 3904.572 0.102886345 6.85 +2 2148.422 3974.15 0.0687313611 6.85 +4 2148.333 3816.504 0.082124296 6.85 +5 2148.256 4348.147 0.100329956 6.85 +6 2148.057 3539.697 0.0520201884 6.85 +1 2147.825 3903.462 0.0868539003 6.85 +2 2147.913 3973.132 0.0729081614 6.85 +4 2147.84 3815.443 0.0989651454 6.85 +5 2147.767 4347.048 0.107375975 6.85 +6 2147.625 3539.106 0.077384753 6.85 +1 1960.919 3518.998 0.0870379228 7.51 +2 1960.832 3578.573 0.0545536433 7.51 +4 1960.721 3441.215 0.0755016556 7.51 +5 1960.852 3906.587 0.0786263315 7.51 +6 1960.855 3198.263 0.0725954544 7.51 +1 1960.715 3518.571 0.062776588 7.51 +2 1960.764 3578.481 0.0820664365 7.51 +4 1960.749 3441.288 0.0712432453 7.51 +5 1960.835 3906.562 0.123893503 7.51 +6 1960.749 3198.23 0.0931665176 7.51 +1 1960.664 3518.653 0.100090459 7.51 +2 1960.771 3578.457 0.0659552879 7.51 +4 1960.725 3441.438 0.051142937 7.51 +5 1960.848 3906.963 0.0785372523 7.51 +6 1960.993 3198.567 0.0977859908 7.51 +1 1795.516 3182.889 0.0576966204 8.24 +2 1795.495 3234.134 0.0863851839 8.24 +4 1795.336 3114.322 0.0851210902 8.24 +5 1795.332 3522.727 0.0888487479 8.24 +6 1795.379 2899.587 0.0643746845 8.24 +1 1795.229 3182.306 0.088161216 8.24 +2 1795.297 3233.569 0.0855038011 8.24 +4 1795.1 3113.527 0.0612543876 8.24 +5 1795.009 3522.211 0.0722419546 8.24 +6 1795.033 2899.089 0.0714625776 8.24 +1 1794.945 3181.758 0.0951609163 8.24 +2 1794.802 3233.01 0.0622735899 8.24 +4 1794.829 3113.427 0.0930596583 8.24 +5 1794.977 3521.971 0.0829752975 8.24 +6 1794.88 2898.903 0.0844280759 8.24 +1 1649.463 2889.881 0.0685776932 9.03 +2 1649.394 2933.599 0.0675344357 9.03 +4 1649.318 2828.554 0.0651337086 9.03 +5 1649.229 3188.969 0.0896710656 9.03 +6 1649.188 2637.974 0.0712628936 9.03 +1 1648.939 2888.859 0.0583000858 9.03 +2 1649.06 2932.909 0.0588464103 9.03 +4 1648.958 2827.623 0.0627702159 9.03 +5 1648.831 3187.982 0.0678498342 9.03 +6 1648.732 2637.142 0.0865771332 9.03 +1 1648.602 2888.151 0.0658703272 9.03 +2 1648.718 2932.146 0.119173823 9.03 +4 1648.826 2827.14 0.0843800924 9.03 +5 1648.676 3187.538 0.0591743188 9.03 +6 1648.607 2637.08 0.0732529863 9.03 +1 1515.635 2625.096 0.0710802364 9.91 +2 1515.577 2662.841 0.04572636 9.91 +4 1515.555 2570.487 0.0607132605 9.91 +5 1515.529 2888.715 0.0647031684 9.91 +6 1515.498 2401.973 0.0851827447 9.91 +1 1515.509 2624.786 0.0628362952 9.91 +2 1515.47 2662.539 0.0557933688 9.91 +4 1515.393 2570.192 0.0740783369 9.91 +5 1515.368 2888.44 0.074135012 9.91 +6 1515.34 2401.768 0.0661331989 9.91 +1 1515.32 2624.404 0.06714462 9.91 +2 1515.373 2662.252 0.101939198 9.91 +4 1515.361 2570.243 0.0638286769 9.91 +5 1515.35 2888.473 0.0456738437 9.91 +6 1515.371 2401.747 0.0513819034 9.91 +1 1392.763 2383.864 0.0790594713 10.90 +2 1392.653 2416.177 0.0811917483 10.90 +4 1392.573 2335.176 0.0596020134 10.90 +5 1392.567 2615.864 0.0671595116 10.90 +6 1392.536 2185.73 0.0660151498 10.90 +1 1392.474 2383.424 0.0942995228 10.90 +2 1392.447 2415.739 0.078961383 10.90 +4 1392.382 2335.099 0.0620072576 10.90 +5 1392.335 2615.466 0.118610286 10.90 +6 1392.379 2185.583 0.0447895077 10.90 +1 1392.378 2383.18 0.0845103544 10.90 +2 1392.32 2415.438 0.078291762 10.90 +4 1392.278 2334.826 0.0597695575 10.90 +5 1392.276 2615.408 0.0790291086 10.90 +6 1392.285 2185.421 0.0811966748 10.90 +1 1289.053 2183.014 0.0640968018 11.90 +2 1288.993 2210.789 0.0675640437 11.90 +4 1288.916 2139.18 0.0630713881 11.90 +5 1288.861 2389.183 0.0816216883 11.90 +6 1288.793 2005.478 0.0813609243 11.90 +1 1288.788 2182.422 0.0803094017 11.90 +2 1288.725 2210.206 0.0757258212 11.90 +4 1288.685 2138.684 0.0509745034 11.90 +5 1288.704 2388.837 0.0588905765 11.90 +6 1288.682 2005.274 0.0606168293 11.90 +1 1288.618 2182.178 0.088767111 11.90 +2 1288.6 2209.933 0.102333279 11.90 +4 1288.596 2138.476 0.0996012048 11.90 +5 1288.552 2388.532 0.0750439871 11.90 +6 1288.519 2004.928 0.0800599775 11.90 +1 1183.635 1981.186 0.125349112 13.10 +2 1183.548 2004.459 0.0511556448 13.10 +4 1183.487 1942.102 0.0971267213 13.10 +5 1183.397 2162.214 0.0898576652 13.10 +6 1183.327 1823.795 0.0570306935 13.10 +1 1183.26 1980.747 0.0558041217 13.10 +2 1183.263 2004.035 0.0752362944 13.10 +4 1183.219 1941.74 0.0521727898 13.10 +5 1183.159 2161.798 0.0677318241 13.10 +6 1183.082 1823.537 0.0357784852 13.10 +1 1183.121 1980.251 0.054780471 13.10 +2 1183.072 2003.696 0.0481497664 13.10 +4 1183.046 1941.363 0.0741356864 13.10 +5 1183.001 2161.511 0.0905477774 13.10 +6 1182.974 1823.194 0.0702168071 13.10 +1 1095.31 1814.57 0.0620644826 14.30 +2 1095.252 1834.392 0.0910032966 14.30 +4 1095.186 1779.247 0.099116598 14.30 +5 1095.113 1975.43 0.0707106781 14.30 +6 1095.001 1673.448 0.0568295698 14.30 +1 1094.982 1813.931 0.0707170418 14.30 +2 1094.942 1833.773 0.083881464 14.30 +4 1094.878 1778.735 0.084145707 14.30 +5 1094.862 1974.796 0.0543359918 14.30 +6 1094.846 1673.015 0.061680629 14.30 +1 1094.8 1813.608 0.098992929 14.30 +2 1094.772 1833.494 0.0475857121 14.30 +4 1094.76 1778.48 0.0748732262 14.30 +5 1094.719 1974.318 0.101791945 14.30 +6 1094.705 1672.862 0.0665251832 14.30 +1 1008.763 1653.083 0.067632093 15.70 +2 1008.704 1669.78 0.094127573 15.70 +4 1008.648 1621.56 0.0472228758 15.70 +5 1008.581 1794.991 0.055144356 15.70 +6 1008.577 1527.078 0.0409340934 15.70 +1 1008.494 1652.702 0.0502354457 15.70 +2 1008.411 1669.278 0.0666903291 15.70 +4 1008.36 1621.06 0.0484148737 15.70 +5 1008.366 1794.432 0.0668849759 15.70 +6 1008.409 1526.706 0.0362546549 15.70 +1 1008.301 1652.233 0.0735669763 15.70 +2 1008.227 1668.806 0.0764748325 15.70 +4 1008.196 1620.802 0.0904632522 15.70 +5 1008.177 1794.206 0.0884782459 15.70 +6 1008.175 1526.581 0.0394322203 15.70 +1 931.921 1511.113 0.0116661905 17.20 +2 931.864 1524.9 0.0163095064 17.20 +4 931.778 1482.564 0.0336214217 17.20 +5 931.668 1637.135 0.0748632086 17.20 +6 931.609 1398.74 0.0147648231 17.20 +1 931.524 1510.512 0.0326741488 17.20 +2 931.524 1524.389 0.0356777241 17.20 +4 931.513 1482.068 0.0212508823 17.20 +5 931.45 1636.665 0.0691989884 17.20 +6 931.382 1398.419 0.0323867257 17.20 +1 931.316 1510.165 0.0453265926 17.20 +2 931.307 1524.04 0.0421663373 17.20 +4 931.336 1481.772 0.0182098874 17.20 +5 931.31 1636.244 0.0747154602 17.20 +6 931.295 1398.219 0.0243905719 17.20 +1 859.08 1378.937 0.0249419326 18.90 +2 859.024 1390.35 0.0241246762 18.90 +4 858.95 1353.268 0.0240333102 18.90 +5 858.864 1489.591 0.0183002732 18.90 +6 858.815 1278.758 0.0275971013 18.90 +1 858.72 1378.349 0.0300815558 18.90 +2 858.692 1389.786 0.027466343 18.90 +4 858.653 1352.773 0.0289153938 18.90 +5 858.634 1489.204 0.0302390476 18.90 +6 858.584 1278.393 0.0334080829 18.90 +1 858.531 1378.037 0.0181135309 18.90 +2 858.578 1389.497 0.018976301 18.90 +4 858.564 1352.515 0.0273952551 18.90 +5 858.503 1488.891 0.0305106539 18.90 +6 858.464 1278.201 0.0355654327 18.90 +1 794.363 1263.087 0.0196494275 20.70 +2 794.279 1272.42 0.0233666429 20.70 +4 794.147 1239.77 0.0213541565 20.70 +5 794.07 1361.097 0.0131946959 20.70 +6 794.038 1173.211 0.0299148792 20.70 +1 793.978 1262.422 0.0325207626 20.70 +2 793.893 1271.894 0.0196570598 20.70 +4 793.871 1239.323 0.0216356188 20.70 +5 793.871 1360.591 0.031920213 20.70 +6 793.855 1172.93 0.0207364414 20.70 +1 793.781 1262.148 0.0223069496 20.70 +2 793.761 1271.587 0.0361953036 20.70 +4 793.704 1239.044 0.034298688 20.70 +5 793.677 1360.409 0.0246758992 20.70 +6 793.693 1172.7 0.0237065392 20.70 +1 733.666 1155.855 0.0289568645 22.70 +2 733.601 1163.467 0.0125737822 22.70 +4 733.489 1134.913 0.0277866875 22.70 +5 733.45 1242.602 0.0246089415 22.70 +6 733.387 1075.45 0.0227156334 22.70 +1 733.233 1155.235 0.0329620994 22.70 +2 733.261 1162.949 0.0059076222 22.70 +4 733.228 1134.394 0.0202089089 22.70 +5 733.171 1242.161 0.0275481397 22.70 +6 733.119 1075.138 0.0294550505 22.70 +1 733.127 1154.931 0.0264367169 22.70 +2 733.107 1162.622 0.0297926165 22.70 +4 733.086 1134.083 0.0184959455 22.70 +5 733.079 1241.883 0.0320015625 22.70 +6 732.999 1074.955 0.0298412466 22.70 +1 677.095 1057.44 0.021725561 24.90 +2 676.989 1063.472 0.0238243573 24.90 +4 676.911 1038.414 0.0238830484 24.90 +5 676.879 1134.008 0.0184824241 24.90 +6 676.841 985.401 0.0143840189 24.90 +1 676.704 1056.827 0.0222733024 24.90 +2 676.658 1062.926 0.0240083319 24.90 +4 676.648 1037.945 0.0227266364 24.90 +5 676.621 1133.533 0.0194961535 24.90 +6 676.541 985.126 0.0190368065 24.90 +1 676.547 1056.484 0.0347908034 24.90 +2 676.531 1062.545 0.0251097591 24.90 +4 676.456 1037.615 0.0213190056 24.90 +5 676.446 1133.225 0.0163859696 24.90 +6 676.462 984.86 0.0179443584 24.90 +1 624.881 967.661 0.0274754436 27.30 +2 624.774 972.34 0.0168522995 27.30 +4 624.69 950.38 0.0161864141 27.30 +5 624.578 1035.233 0.0233259512 27.30 +6 624.498 903.181 0.0286862336 27.30 +1 624.405 966.949 0.0322629819 27.30 +2 624.373 971.745 0.031756889 27.30 +4 624.304 949.83 0.0179443584 27.30 +5 624.283 1034.762 0.0268253611 27.30 +6 624.25 902.83 0.018761663 27.30 +1 624.162 966.583 0.00788035532 27.30 +2 624.184 971.442 0.0246495436 27.30 +4 624.123 949.627 0.0228932304 27.30 +5 624.133 1034.44 0.0238746728 27.30 +6 624.148 902.632 0.0234008547 27.30 +1 576.634 885.988 0.0284534708 29.90 +2 576.499 889.521 0.0165196852 29.90 +4 576.443 870.314 0.0202089089 29.90 +5 576.384 945.692 0.0157987341 29.90 +6 576.257 828.195 0.0232486559 29.90 +1 576.198 885.271 0.0327246085 29.90 +2 576.13 888.832 0.0275971013 29.90 +4 576.041 869.725 0.0286792608 29.90 +5 575.996 945.048 0.0172510869 29.90 +6 575.984 827.724 0.0361994475 29.90 +1 575.867 884.753 0.018817545 29.90 +2 575.853 888.474 0.0239248824 29.90 +4 575.88 869.404 0.034298688 29.90 +5 575.925 944.816 0.0242981481 29.90 +6 575.874 827.524 0.0234179418 29.90 +1 531.308 810.084 0.0259306768 32.80 +2 531.167 812.742 0.0257992248 32.80 +4 531.068 795.919 0.00994484791 32.80 +5 530.977 862.748 0.0185903201 32.80 +6 530.901 758.453 0.0234968083 32.80 +1 530.79 809.381 0.0167600716 32.80 +2 530.777 812.069 0.026737614 32.80 +4 530.749 795.362 0.017538529 32.80 +5 530.707 862.198 0.0285587115 32.80 +6 530.664 758.04 0.0222710575 32.80 +1 530.596 809.008 0.0256437127 32.80 +2 530.551 811.741 0.0351695891 32.80 +4 530.527 795.069 0.021883784 32.80 +5 530.529 861.883 0.0209785605 32.80 +6 530.496 757.807 0.0147682091 32.80 +1 488.8135 740.219 0.0230412673 36.00 +2 488.6977 742.025 0.0280446073 36.00 +4 488.5979 727.406 0.0457864609 36.00 +5 488.5143 786.47 0.0293938769 36.00 +6 488.4305 694.055 0.0260863949 36.00 +1 488.3419 739.508 0.028733256 36.00 +2 488.272 741.298 0.0362436201 36.00 +4 488.2118 726.756 0.0228997817 36.00 +5 488.1606 785.8 0.0399499687 36.00 +6 488.1101 693.541 0.0252368778 36.00 +1 488.0593 739.021 0.0263988636 36.00 +2 488.0153 740.863 0.0332580817 36.00 +4 487.9721 726.401 0.0315103158 36.00 +5 487.9318 785.448 0.0119833217 36.00 +6 487.9002 693.254 0.0238830484 36.00 +1 450.6526 677.915 0.0266926956 39.40 +2 450.541 679.052 0.0222171105 39.40 +4 450.4424 666.287 0.0296327522 39.40 +5 450.3464 718.712 0.0192769292 39.40 +6 450.2433 636.566 0.0236727692 39.40 +1 450.1644 677.195 0.0264669605 39.40 +2 450.092 678.286 0.0227683992 39.40 +4 450.0243 665.652 0.0263362868 39.40 +5 449.9538 718.054 0.0281496004 39.40 +6 449.8955 635.989 0.0167600716 39.40 +1 449.8216 676.614 0.0348482424 39.40 +2 449.7819 677.883 0.0240852652 39.40 +4 449.7665 665.174 0.0173896521 39.40 +5 449.7212 717.683 0.0163737595 39.40 +6 449.67 635.662 0.0230997835 39.40 +1 414.6043 619.774 0.0236727692 43.20 +2 414.4826 620.304 0.0195038458 43.20 +4 414.3771 609.17 0.0314006369 43.20 +5 414.2839 655.607 0.0337653669 43.20 +6 414.1815 582.655 0.0264669605 43.20 +1 414.0674 618.976 0.0209857094 43.20 +2 413.9965 619.513 0.0276423588 43.20 +4 413.9333 608.516 0.0329302293 43.20 +5 413.8765 654.915 0.0271753565 43.20 +6 413.8164 582.215 0.0277578818 43.20 +1 413.7503 618.433 0.0284622557 43.20 +2 413.7024 619.016 0.0327169681 43.20 +4 413.6457 608.051 0.0245132617 43.20 +5 413.5991 654.453 0.023283041 43.20 +6 413.5725 581.813 0.0190289254 43.20 +1 380.6752 565.648 0.0226185764 47.40 +2 380.5559 565.748 0.0276694778 47.40 +4 380.4577 556.1 0.0224053565 47.40 +5 380.3591 597.05 0.0192873015 47.40 +6 380.2726 532.609 0.0152610616 47.40 +1 380.1701 564.911 0.0229106962 47.40 +2 380.0948 564.99 0.0175499288 47.40 +4 380.0284 555.467 0.0303660995 47.40 +5 379.9688 596.403 0.0275699111 47.40 +6 379.8977 532.095 0.0200124961 47.40 +1 379.8103 564.305 0.0315990506 47.40 +2 379.769 564.449 0.0251575039 47.40 +4 379.7162 554.994 0.0249479458 47.40 +5 379.6752 595.839 0.0181906569 47.40 +6 379.6359 531.701 0.0163370744 47.40 +1 349.3879 516.254 0.0294346734 52.00 +2 349.2568 515.899 0.0334200539 52.00 +4 349.1277 507.566 0.0186118242 52.00 +5 349.02 543.675 0.0300083322 52.00 +6 348.948 486.6155 0.00629166115 52.00 +1 348.8391 515.341 0.0287210724 52.00 +2 348.7399 515.056 0.0243392687 52.00 +4 348.6365 506.817 0.0211210795 52.00 +5 348.5784 542.944 0.026046113 52.00 +6 348.5424 486.0136 0.00532202969 52.00 +1 348.4563 514.807 0.023918612 52.00 +2 348.3954 514.492 0.0308155805 52.00 +4 348.3448 506.306 0.0170997076 52.00 +5 348.2777 542.4 0.0183847763 52.00 +6 348.2453 485.5842 0.00713694613 52.00 +1 321.3117 472.1982 0.00932502011 57.00 +2 321.188 471.5277 0.00966545395 57.00 +4 321.0477 464.2718 0.00872674051 57.00 +5 320.9192 496.1821 0.00694182973 57.00 +6 320.788 445.669 0.010933435 57.00 +1 320.623 471.1369 0.0109045403 57.00 +2 320.5055 470.4696 0.0092770685 57.00 +4 320.406 463.2966 0.0057466512 57.00 +5 320.3309 495.199 0.0098 57.00 +6 320.2719 444.8824 0.00881498724 57.00 +1 320.1878 470.4729 0.0104225237 57.00 +2 320.1612 469.9274 0.00583472364 57.00 +4 320.1531 462.9091 0.00757555279 57.00 +5 320.1564 494.873 0.0101103907 57.00 +6 320.1252 444.6876 0.00869850562 57.00 +1 296.1023 433.1092 0.0107552778 62.50 +2 295.9618 432.2012 0.00914089711 62.50 +4 295.8341 425.9042 0.00895187131 62.50 +5 295.7253 454.2144 0.0103481399 62.50 +6 295.6041 409.2932 0.0107058862 62.50 +1 295.4534 432.1491 0.0105805954 62.50 +2 295.3549 431.2812 0.00701398603 62.50 +4 295.2613 425.0519 0.00879482803 62.50 +5 295.179 453.3378 0.00836038277 62.50 +6 295.1004 408.5735 0.010115582 62.50 +1 295.0043 431.4364 0.0100271631 62.50 +2 294.9481 430.6157 0.00901892455 62.50 +4 294.8801 424.4515 0.00670111931 62.50 +5 294.8096 452.7162 0.00709478682 62.50 +6 294.7521 408.0881 0.0112946447 62.50 +1 272.099 396.2072 0.0119237578 68.50 +2 271.9725 395.1144 0.0092770685 68.50 +4 271.8558 389.6711 0.00926547354 68.50 +5 271.7516 414.7133 0.0129375809 68.50 +6 271.6264 374.9103 0.00483745801 68.50 +1 271.4761 395.2817 0.00910609686 68.50 +2 271.3918 394.2418 0.0101486945 68.50 +4 271.3059 388.8502 0.00736993894 68.50 +5 271.2168 413.839 0.00691809222 68.50 +6 271.1269 374.1941 0.0091109275 68.50 +1 271.0059 394.5449 0.00751724684 68.50 +2 270.9175 393.516 0.00884533775 68.50 +4 270.8278 388.1784 0.00807118331 68.50 +5 270.7527 413.1273 0.00872358871 68.50 +6 270.6745 373.5925 0.01000025 68.50 +1 249.7735 362.143 0.00513809303 75.10 +2 249.6563 360.9051 0.00987466455 75.10 +4 249.5366 356.2233 0.00722779358 75.10 +5 249.4309 378.3057 0.00913679375 75.10 +6 249.3285 343.1229 0.00537484884 75.10 +1 249.2027 361.2686 0.00649799969 75.10 +2 249.1099 360.0789 0.00735995924 75.10 +4 249.0079 355.4573 0.00716944907 75.10 +5 248.9259 377.4803 0.00943403413 75.10 +6 248.8474 342.433 0.0095163018 75.10 +1 248.7145 360.5655 0.00420535373 75.10 +2 248.6209 359.3605 0.0168897898 75.10 +4 248.5249 354.7301 0.00959213219 75.10 +5 248.4544 376.7381 0.00877775598 75.10 +6 248.3799 341.8136 0.00644701481 75.10 +1 228.9778 330.6538 0.00775345084 82.40 +2 228.8674 329.3565 0.008172209 82.40 +4 228.7792 325.3266 0.00995007538 82.40 +5 228.6823 344.782 0.00822070557 82.40 +6 228.5784 313.7291 0.00409011002 82.40 +1 228.466 329.8728 0.0104621222 82.40 +2 228.3827 328.5893 0.00606638278 82.40 +4 228.309 324.607 0.00877496439 82.40 +5 228.2349 344.026 0.00794858478 82.40 +6 228.1385 313.1153 0.00852531524 82.40 +1 228.0357 329.2343 0.00429895336 82.40 +2 227.9843 327.9931 0.007850414 82.40 +4 227.9085 324.0231 0.00685776932 82.40 +5 227.8415 343.4316 0.00649184103 82.40 +6 227.7638 312.5997 0.00516536543 82.40 +1 210.1635 302.3232 0.00827743922 90.30 +2 210.0501 300.9804 0.00506596486 90.30 +4 209.9555 297.4869 0.0054322187 90.30 +5 209.8726 314.638 0.00767984375 90.30 +6 209.7785 287.207 0.012887203 90.30 +1 209.667 301.5695 0.00589957626 90.30 +2 209.5886 300.2473 0.00670827847 90.30 +4 209.4973 296.8208 0.00897529944 90.30 +5 209.4258 313.9371 0.0074758946 90.30 +6 209.3531 286.6274 0.00956890798 90.30 +1 209.2534 300.9636 0.00854540812 90.30 +2 209.1916 299.6396 0.010364555 90.30 +4 209.1241 296.2542 0.00966312579 90.30 +5 209.058 313.3393 0.0104374805 90.30 +6 208.9761 286.0998 0.00645879246 90.30 +1 192.3716 275.7068 0.00923341757 99.10 +2 192.2883 274.3217 0.00643436089 99.10 +4 192.1928 271.3438 0.00840452259 99.10 +5 192.1129 286.4294 0.00655621842 99.10 +6 192.0357 262.2928 0.00968689837 99.10 +1 191.8953 275.0434 0.00786155201 99.10 +2 191.8479 273.669 0.00729383301 99.10 +4 191.7698 270.7507 0.00795116344 99.10 +5 191.6868 285.8055 0.00629483916 99.10 +6 191.6096 261.7202 0.00515519156 99.10 +1 191.5345 274.4701 0.0118088526 99.10 +2 191.4786 273.1103 0.00757238404 99.10 +4 191.4138 270.2165 0.00730650395 99.10 +5 191.3372 285.2327 0.00420487812 99.10 +6 191.2684 261.2373 0.0059161643 99.10 +1 175.6286 250.8 0.00986711711 109.00 +2 175.5429 249.445 0.0110923397 109.00 +4 175.4629 246.9181 0.0106971492 109.00 +5 175.378 260.1026 0.0103016504 109.00 +6 175.2935 238.9193 0.0104661836 109.00 +1 175.1992 250.1898 0.00440408901 109.00 +2 175.1215 248.8231 0.00753452056 109.00 +4 175.0575 246.3412 0.00717188957 109.00 +5 175.0044 259.4971 0.00628084389 109.00 +6 174.9432 238.4286 0.0107342443 109.00 +1 174.8495 249.6646 0.0108602026 109.00 +2 174.7917 248.3114 0.0071891585 109.00 +4 174.7289 245.8312 0.00744553558 109.00 +5 174.6731 258.993 0.00671714225 109.00 +6 174.616 237.9526 0.00942570952 109.00 +1 161.3027 229.6257 0.00989247189 119.00 +2 161.2107 228.2786 0.00916864221 119.00 +4 161.132 226.1091 0.00900383252 119.00 +5 161.0576 237.743 0.00987724658 119.00 +6 161.0013 219.0245 0.00483580397 119.00 +1 160.9235 229.0674 0.00646250725 119.00 +2 160.84 227.715 0.0116636186 119.00 +4 160.7497 225.5656 0.00970999485 119.00 +5 160.694 237.2009 0.00695478253 119.00 +6 160.651 218.5345 0.00639413794 119.00 +1 160.5804 228.569 0.00977547953 119.00 +2 160.5212 227.2245 0.00891543605 119.00 +4 160.4635 225.1029 0.00601739146 119.00 +5 160.3952 236.6707 0.00774215732 119.00 +6 160.3488 218.1182 0.00867617427 119.00 +1 146.8282 208.407 0.0126948809 131.00 +2 146.7581 207.0983 0.00876704055 131.00 +4 146.6859 205.2601 0.00922003254 131.00 +5 146.6163 215.3881 0.00784659162 131.00 +6 146.5482 199.0545 0.011124073 131.00 +1 146.4724 207.9015 0.00824893933 131.00 +2 146.4074 206.5911 0.0125574281 131.00 +4 146.3487 204.7837 0.00865800208 131.00 +5 146.2902 214.8998 0.00955698697 131.00 +6 146.2378 198.6233 0.010237236 131.00 +1 146.1742 207.4615 0.00590465918 131.00 +2 146.1241 206.181 0.00857671266 131.00 +4 146.0666 204.3575 0.0070643471 131.00 +5 146.0135 214.4615 0.00807372281 131.00 +6 145.9672 198.2547 0.00993181756 131.00 +1 134.6831 190.6662 0.0125577068 143.00 +2 134.6228 189.3812 0.0103380849 143.00 +4 134.5608 187.7843 0.0118828027 143.00 +5 134.4999 196.722 0.00885889384 143.00 +6 134.4408 182.312 0.0107424392 143.00 +1 134.3685 190.1874 0.00884782459 143.00 +2 134.3081 188.9295 0.00746357823 143.00 +4 134.2552 187.3714 0.0112099955 143.00 +5 134.2014 196.2644 0.00734329626 143.00 +6 134.1508 181.9174 0.00908207025 143.00 +1 134.085 189.7962 0.00953918235 143.00 +2 134.0343 188.5308 0.00879181437 143.00 +4 133.9874 186.9762 0.0115011304 143.00 +5 133.9372 195.8936 0.0102656709 143.00 +6 133.8907 181.5646 0.00758577616 143.00 +1 122.7346 173.2428 0.00747636275 157.00 +2 122.6749 172.0502 0.00836636122 157.00 +4 122.6179 170.7059 0.00973288241 157.00 +5 122.5646 178.4824 0.00853721266 157.00 +6 122.5124 165.879 0.0078638413 157.00 +1 122.4406 172.8335 0.00752761582 157.00 +2 122.3884 171.6431 0.00730267074 157.00 +4 122.3482 170.2966 0.00819658465 157.00 +5 122.3037 178.0859 0.00922870522 157.00 +6 122.2521 165.5286 0.00810209849 157.00 +1 122.1978 172.4764 0.00869390591 157.00 +2 122.154 171.3038 0.00573550347 157.00 +4 122.1098 169.9744 0.00471211205 157.00 +5 122.0684 177.7345 0.00935975427 157.00 +6 122.0286 165.2406 0.0125381019 157.00 +1 112.0997 157.7846 0.00275027271 172.00 +2 112.0481 156.6464 0.00340352758 172.00 +4 111.9936 155.487 0.00342928564 172.00 +5 111.9336 162.3418 0.0114514628 172.00 +6 111.883 151.2554 0.0026046113 172.00 +1 111.8292 157.391 0.0030724583 172.00 +2 111.7866 156.2761 0.00304121686 172.00 +4 111.7429 155.13 0.00251396102 172.00 +5 111.6938 161.9784 0.00878885658 172.00 +6 111.652 150.9416 0.00256203044 172.00 +1 111.6017 157.0707 0.0024333105 172.00 +2 111.5624 155.9585 0.00241350368 172.00 +4 111.5243 154.8269 0.00266251761 172.00 +5 111.4843 161.6559 0.00945986258 172.00 +6 111.4475 150.6589 0.00321387616 172.00 +1 101.9767 143.1788 0.00240748832 189.00 +2 101.9308 142.1212 0.0029044793 189.00 +4 101.8851 141.1357 0.00256534598 189.00 +5 101.8384 147.0669 0.00295787086 189.00 +6 101.7929 137.4456 0.00317867897 189.00 +1 101.7358 142.8455 0.00351639019 189.00 +2 101.7009 141.7902 0.00308804145 189.00 +4 101.6619 140.824 0.00260768096 189.00 +5 101.6226 146.737 0.00250998008 189.00 +6 101.5849 137.1618 0.00180997238 189.00 +1 101.5347 142.5504 0.00273203221 189.00 +2 101.5 141.5132 0.00361330873 189.00 +4 101.4654 140.5545 0.00248696602 189.00 +5 101.4356 146.4605 0.00298412466 189.00 +6 101.409 136.914 0.0018761663 189.00 +1 93.1008 130.4314 0.00254636997 207.00 +2 93.0576 129.4454 0.00339175471 207.00 +4 93.0151 128.5972 0.00341994152 207.00 +5 92.975 133.7767 0.00323125363 207.00 +6 92.9336 125.3562 0.00336392628 207.00 +1 92.8862 130.1175 0.00237170825 207.00 +2 92.8489 129.1426 0.00327780414 207.00 +4 92.8142 128.3071 0.00307066768 207.00 +5 92.7799 133.4845 0.0022237356 207.00 +6 92.7457 125.0934 0.00170411267 207.00 +1 92.6986 129.8593 0.00317820704 207.00 +2 92.6634 128.8862 0.00398195932 207.00 +4 92.6368 128.06 0.00192353841 207.00 +5 92.6083 133.2277 0.00302340867 207.00 +6 92.5735 124.8663 0.00163125718 207.00 +1 84.8351 118.5984 0.00318182338 227.00 +2 84.7977 117.6972 0.00300266548 227.00 +4 84.7598 116.9596 0.00363373087 227.00 +5 84.7221 121.4685 0.00331436268 227.00 +6 84.6893 114.1234 0.0022592034 227.00 +1 84.6494 118.3186 0.00345890156 227.00 +2 84.6124 117.4227 0.0025141599 227.00 +4 84.5738 116.7016 0.00246657657 227.00 +5 84.5427 121.2104 0.00276115918 227.00 +6 84.5144 113.8868 0.00310096759 227.00 +1 84.4725 118.0748 0.00316164514 227.00 +2 84.4477 117.1949 0.00333901183 227.00 +4 84.4208 116.483 0.00229782506 227.00 +5 84.3895 120.9868 0.00104690019 227.00 +6 84.3641 113.6914 0.00140142784 227.00 +1 77.4596 108.077 0.00284604989 249.00 +2 77.4211 107.2603 0.00274972726 249.00 +4 77.3916 106.6161 0.00306740933 249.00 +5 77.3599 110.5616 0.00367205664 249.00 +6 77.3252 104.1208 0.00229695451 249.00 +1 77.2775 107.8188 0.00246089415 249.00 +2 77.2513 107.0125 0.00204572725 249.00 +4 77.2217 106.3782 0.0024690079 249.00 +5 77.1916 110.314 0.00229346899 249.00 +6 77.1646 103.906 0.00226715681 249.00 +1 77.129 107.6042 0.00320249902 249.00 +2 77.1017 106.8074 0.00310869748 249.00 +4 77.0798 106.1823 0.00161895028 249.00 +5 77.0557 110.111 0.00227596134 249.00 +6 77.0299 103.7265 0.00309596512 249.00 +1 70.4296 98.0853 0.00139319776 273.00 +2 70.3997 97.3517 0.00333181632 273.00 +4 70.3651 96.7772 0.00328876877 273.00 +5 70.3305 100.2037 0.00340602408 273.00 +6 70.3044 94.6068 0.00302258168 273.00 +1 70.2618 97.8541 0.00141739197 273.00 +2 70.2426 97.1286 0.00300399734 273.00 +4 70.2159 96.5645 0.00230325856 273.00 +5 70.1872 99.9838 0.00255656019 273.00 +6 70.1607 94.412 0.00187082869 273.00 +1 70.1252 97.6572 0.00308480145 273.00 +2 70.1031 96.9376 0.00183956517 273.00 +4 70.0858 96.383 0.00218632111 273.00 +5 70.063 99.8032 0.00252111087 273.00 +6 70.0366 94.2507 0.00300016666 273.00 +1 66.6494 92.7159 0.0021746264 288.00 +2 66.6219 92.0293 0.00190814046 288.00 +4 66.5958 91.5111 0.00321387616 288.00 +5 66.5685 94.6659 0.00232142198 288.00 +6 66.5407 89.5037 0.00210736803 288.00 +1 66.5067 92.5172 0.00206784912 288.00 +2 66.4814 91.8353 0.00154304893 288.00 +4 66.4508 91.3147 0.00437961185 288.00 +5 66.4291 94.4553 0.00286373881 288.00 +6 66.4135 89.3241 0.00314467804 288.00 +1 66.2208 92.1059 0.00122024588 288.00 +2 66.2098 91.4448 0.00223517337 288.00 +4 66.197 90.9521 0.00292728543 288.00 +5 66.188 94.1141 0.00212814473 288.00 +6 66.1861 89.0288 0.00183738945 288.00 +1 63.9386 88.8719 0.00433232039 302.00 +2 63.9123 88.2255 0.00204572725 302.00 +4 63.8871 87.7356 0.00141562707 302.00 +5 63.8618 90.6983 0.00201022387 302.00 +6 63.8332 85.8405 0.00201618452 302.00 +1 63.7995 88.68 0.00343220046 302.00 +2 63.7681 88.0205 0.0030536863 302.00 +4 63.7391 87.526 0.0027676705 302.00 +5 63.7128 90.4761 0.00364266386 302.00 +6 63.6829 85.6378 0.00262602361 302.00 +1 63.6447 88.4752 0.00318370853 302.00 +2 63.6298 87.8309 0.00269610831 302.00 +4 63.6116 87.3436 0.00108811764 302.00 +5 63.5937 90.3022 0.00243228288 302.00 +6 63.5826 85.4974 0.00216425507 302.00 +1 62.3975 86.6905 0.00335633729 310.00 +2 62.3703 86.0621 0.00258631011 310.00 +4 62.3415 85.5688 0.00315531298 310.00 +5 62.3145 88.419 0.00314960315 310.00 +6 62.2831 83.7426 0.00383718647 310.00 +1 62.2449 86.482 0.00245356883 310.00 +2 62.219 85.8486 0.0025385035 310.00 +4 62.195 85.3673 0.00237928561 310.00 +5 62.1732 88.2269 0.00241433221 310.00 +6 62.1542 83.5675 0.00327490458 310.00 +1 62.1366 86.3105 0.00315990506 310.00 +2 62.1162 85.7065 0.00291290233 310.00 +4 62.0967 85.2319 0.00172887246 310.00 +5 62.0816 88.0926 0.00296378137 310.00 +6 62.0672 83.4547 0.00213096222 310.00 diff --git a/calib_data/_calib_data/calib_2023-06-22.txt b/calib_data/_calib_data/calib_2023-06-22.txt new file mode 100644 index 0000000..3378682 --- /dev/null +++ b/calib_data/_calib_data/calib_2023-06-22.txt @@ -0,0 +1,932 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 30777.85 18795.21 0.966276358 1.38 +2 30758.04 9619.22 0.523793853 1.38 +4 30735.82 1512.111 0.0276568256 1.38 +5 30724.48 1753.129 0.0323558341 1.38 +6 30713.1 51027.06 4.41522819 1.38 +1 30701.02 18755.83 1.16636615 1.38 +2 30686.18 9601.92 0.39744182 1.38 +4 30672.51 1510.658 0.0598631773 1.38 +5 30666.18 1751.393 0.0418580936 1.38 +6 30654.43 50941.26 1.59951243 1.38 +1 30638.22 18719.84 1.19282857 1.38 +2 30630.12 9588.01 0.296799596 1.38 +4 30616.12 1509.226 0.0421947864 1.38 +5 30605.88 1749.682 0.0564588346 1.38 +6 30592.98 50830.98 1.41702505 1.38 +1 30512.84 18652.75 0.789841756 1.42 +2 30504.42 9558.38 0.418760075 1.42 +4 30499.41 1506.2 0.0294618397 1.42 +5 30488.66 1746.278 0.061608441 1.42 +6 30478.55 50629.63 3.76961669 1.42 +1 30475.88 18634.73 0.597503138 1.42 +2 30467.96 9551.56 0.32471526 1.42 +4 30459.51 1505.433 0.0209785605 1.42 +5 30455.9 1745.257 0.0244560831 1.42 +6 30451.36 50576.8 3.92053568 1.42 +1 30442.72 18615.3 0.842970937 1.42 +2 30437.37 9543.3 0.49959984 1.42 +4 30432.79 1504.768 0.0430534551 1.42 +5 30429 1744.417 0.0539082554 1.42 +6 30425.4 50539.48 1.22366662 1.42 +1 26776.28 16635.26 1.51889433 1.51 +2 26779.78 8689.46 0.486867538 1.51 +4 26777.48 1419.781 0.0463130651 1.51 +5 26778.06 1641.309 0.0459009804 1.51 +6 26781.17 44168.03 2.52638279 1.51 +1 26784.49 16641.99 0.497282616 1.51 +2 26779.6 8690.61 0.329681665 1.51 +4 26778.54 1420.007 0.0286373881 1.51 +5 26780.65 1641.412 0.0515519156 1.51 +6 26780.8 44183.2 4.6930374 1.51 +1 26776.35 16636.01 1.12227002 1.51 +2 26781.86 8692.34 0.325330601 1.51 +4 26792.58 1420.095 0.0629483916 1.51 +5 26796.4 1641.599 0.022425432 1.51 +6 26795.13 44201 4.49848864 1.51 +1 22026.44 14023.22 0.749239615 1.66 +2 21027.58 7489.58 25.672763 1.66 +4 19555.94 1227.699 0.995753433 1.66 +5 19012.33 1390.665 0.0555922656 1.66 +6 18876.54 30616.37 13.9998218 1.66 +1 17363.81 11385.6 0.917823512 1.66 +2 17360.43 6331.26 0.241743666 1.66 +4 17353.35 1164.801 0.0238096619 1.66 +5 17342.91 1331.042 0.0527787836 1.66 +6 17331.56 28009.74 1.56672908 1.66 +1 17320.22 11361.56 0.637369595 1.66 +2 17317.61 6321.3 0.252190404 1.66 +4 17317.7 1163.576 0.0552847176 1.66 +5 17312.8 1330.225 0.0520432512 1.66 +6 17306.89 27946.96 1.75654206 1.66 +1 14374.45 9649.27 1.00479351 1.82 +2 14369.46 5510.82 0.265631323 1.82 +4 14369.98 1066.082 0.0620934779 1.82 +5 14374.85 1214.348 0.0809048824 1.82 +6 14373.94 22989.02 1.25242165 1.82 +1 14362.22 9640.24 0.622768015 1.82 +2 14363.87 5510.38 0.356033706 1.82 +4 14363.02 1066.136 0.0452150417 1.82 +5 14361.38 1213.803 0.0304318912 1.82 +6 14360.73 22974.45 2.83362842 1.82 +1 14355.06 9636.36 0.631696129 1.82 +2 14356.69 5507.69 0.68548523 1.82 +4 14347.55 1065.878 0.0365184885 1.82 +5 14345.85 1213.435 0.103973554 1.82 +6 14348.29 22950.29 1.79010894 1.82 +1 12101.24 8289.17 0.597837771 1.99 +2 12104.37 4852.682 0.31678005 1.99 +4 12098.09 982.738 0.0469638159 1.99 +5 12096.57 1114.279 0.0451541803 1.99 +6 12102.04 19197.38 3.68623928 1.99 +1 12097.23 8285.12 0.665251832 1.99 +2 12100.81 4851.474 0.512704983 1.99 +4 12103.74 982.803 0.0516730104 1.99 +5 12093.26 1114.156 0.0506399052 1.99 +6 12086.8 19175.9 2.35151015 1.99 +1 12091.01 8284.75 0.792243649 1.99 +2 12091.88 4849.491 0.475870676 1.99 +4 12091.56 982.344 0.0444117102 1.99 +5 12096.31 1114.493 0.0648390315 1.99 +6 12092.63 19175.08 1.64102407 1.99 +1 10257.81 7162.22 0.437218481 2.18 +2 10257.16 4293.659 0.187432388 2.18 +4 10255.35 907.662 0.0257604348 2.18 +5 10256.13 1025.577 0.0361123248 2.18 +6 10257.83 16125.68 2.08373703 2.18 +1 10251.32 7163.35 0.738410455 2.18 +2 10247.47 4288.951 0.162471228 2.18 +4 10243.02 907.105 0.0433416659 2.18 +5 10240.21 1025.147 0.0288114561 2.18 +6 10239.43 16094.69 1.5953965 2.18 +1 10243.09 7156.14 0.364472221 2.18 +2 10245.24 4290.218 0.206362787 2.18 +4 10244.75 907.004 0.0253061257 2.18 +5 10244.46 1025.327 0.0437046908 2.18 +6 10248.31 16114.27 2.06843177 2.18 +1 8736.01 6219.24 0.518690659 2.39 +2 8737.05 3810.172 0.20021888 2.39 +4 8738.47 839.872 0.033280625 2.39 +5 8739.28 945.324 0.032193167 2.39 +6 8739.58 13629.54 1.54694538 2.39 +1 8743.24 6222.51 0.380118403 2.39 +2 8745.19 3811.17 0.216245231 2.39 +4 8742.53 839.781 0.0618619431 2.39 +5 8739.62 945.59 0.0442944692 2.39 +6 8737.88 13618.75 1.08970179 2.39 +1 8737.56 6215.95 0.493811705 2.39 +2 8734.19 3810.198 0.16512904 2.39 +4 8733.7 839.281 0.0604723077 2.39 +5 8738.25 945.428 0.0401696403 2.39 +6 8734.83 13617.54 0.863041135 2.39 +1 7513.21 5439.15 0.157003185 2.62 +2 7513.85 3404.19 0.0853814968 2.62 +4 7512.55 779.427 0.0513819034 2.62 +5 7514.23 874.943 0.0417863614 2.62 +6 7516.36 11622.13 0.615962661 2.62 +1 7515.73 5438.75 0.291290233 2.62 +2 7515.95 3404.914 0.193541727 2.62 +4 7515.83 779.67 0.0268700577 2.62 +5 7517.12 874.924 0.0177313282 2.62 +6 7518.93 11624.85 0.343292878 2.62 +1 7518.66 5442.88 0.338762454 2.62 +2 7519.36 3407.407 0.109681813 2.62 +4 7521.18 779.831 0.0272194783 2.62 +5 7522.26 875.215 0.0273221522 2.62 +6 7520.54 11629.93 0.336764012 2.62 +1 6470.79 4761.307 0.198000253 2.88 +2 6469.7 3042.315 0.0722668665 2.88 +4 6468.1 723.522 0.0186975934 2.88 +5 6468.03 809.253 0.0344107541 2.88 +6 6468.49 9917.92 0.515906968 2.88 +1 6468.94 4761.051 0.0976775307 2.88 +2 6468.73 3042.738 0.0509666558 2.88 +4 6468.03 723.459 0.0288253361 2.88 +5 6468.1 809.198 0.0193804025 2.88 +6 6468.72 9920.26 0.339175471 2.88 +1 6467.52 4759.653 0.0933707663 2.88 +2 6466.91 3042.155 0.0971416492 2.88 +4 6467.56 723.449 0.0157765649 2.88 +5 6467.69 809.267 0.0262316603 2.88 +6 6466.91 9916.96 0.268774999 2.88 +1 5651.52 4220.785 0.092284885 3.15 +2 5651.69 2748.168 0.0767697857 3.15 +4 5650.95 675.837 0.0138600144 3.15 +5 5650.52 753.852 0.0153492671 3.15 +6 5650.66 8603.17 0.28707142 3.15 +1 5650.18 4219.998 0.125465533 3.15 +2 5650.52 2747.625 0.0605185922 3.15 +4 5649.9 675.79 0.025019992 3.15 +5 5649.12 753.813 0.0192379833 3.15 +6 5649.26 8600.37 0.174384632 3.15 +1 5650.34 4220.358 0.0978345542 3.15 +2 5650.09 2747.573 0.0541119211 3.15 +4 5649.31 675.794 0.0300399734 3.15 +5 5648.87 753.739 0.0433001155 3.15 +6 5649.55 8599.55 0.365308089 3.15 +1 4933.271 3739.341 0.0611792448 3.46 +2 4932.97 2480.347 0.0563923754 3.46 +4 4932.991 630.797 0.0226296266 3.46 +5 4933.173 701.545 0.0253870045 3.46 +6 4932.836 7455.35 0.217830209 3.46 +1 4933.013 3739.088 0.0591235993 3.46 +2 4932.53 2479.784 0.0443891879 3.46 +4 4932.228 630.829 0.0304778608 3.46 +5 4932.178 701.532 0.0325514977 3.46 +6 4932.344 7454.38 0.312345962 3.46 +1 4933.001 3739.038 0.0475562824 3.46 +2 4932.845 2480.187 0.102303959 3.46 +4 4932.346 630.815 0.0240520269 3.46 +5 4932.622 701.517 0.0244151592 3.46 +6 4932.612 7456.24 0.246657657 3.46 +1 4348.841 3339.337 0.0589754186 3.79 +2 4348.936 2253.275 0.0734200245 3.79 +4 4348.822 591.198 0.0253692728 3.79 +5 4348.704 655.748 0.0211565593 3.79 +6 4348.374 6524.33 0.321885073 3.79 +1 4347.939 3338.677 0.0835230507 3.79 +2 4347.762 2252.79 0.0989343216 3.79 +4 4347.975 591.134 0.020746084 3.79 +5 4348.014 655.705 0.0246272207 3.79 +6 4347.678 6523.32 0.259538051 3.79 +1 4347.791 3338.658 0.0873017755 3.79 +2 4347.883 2252.869 0.0705896593 3.79 +4 4348.013 591.16 0.0171464282 3.79 +5 4347.964 655.656 0.0287819388 3.79 +6 4347.638 6522.88 0.366551497 3.79 +1 3844.969 2988.724 0.0571874112 4.16 +2 3845.081 2050.429 0.0761373758 4.16 +4 3845.173 554.555 0.0243413229 4.16 +5 3845.131 613.425 0.0266176633 4.16 +6 3844.776 5726.26 0.263514705 4.16 +1 3845.067 2988.869 0.0716721703 4.16 +2 3845.064 2050.62 0.119774789 4.16 +4 3844.905 554.469 0.0197711912 4.16 +5 3844.756 613.429 0.0211872603 4.16 +6 3844.639 5726.28 0.230564525 4.16 +1 3844.829 2988.784 0.055842636 4.16 +2 3844.738 2050.504 0.0755936505 4.16 +4 3844.645 554.449 0.0241433221 4.16 +5 3844.592 613.374 0.0156332978 4.16 +6 3844.74 5725.73 0.232400516 4.16 +1 3428.966 2694.732 0.100874179 4.56 +2 3428.859 1877.36 0.0851586754 4.56 +4 3428.716 522.017 0.0313703682 4.56 +5 3428.52 576.159 0.0271827151 4.56 +6 3428.244 5069.19 0.249979999 4.56 +1 3428.596 2694.422 0.0277055951 4.56 +2 3428.456 1877.265 0.10739879 4.56 +4 3428.377 521.976 0.0232465051 4.56 +5 3428.5 576.126 0.0294686274 4.56 +6 3428.616 5069.6 0.297657521 4.56 +1 3428.503 2694.462 0.0642930789 4.56 +2 3428.637 1877.52 0.0360277671 4.56 +4 3428.745 521.995 0.0326266762 4.56 +5 3428.717 576.156 0.0280784615 4.56 +6 3428.489 5069.63 0.29293344 4.56 +1 3074.725 2440.846 0.11038297 5.00 +2 3074.495 1725.628 0.0738349511 5.00 +4 3074.578 492.4754 0.00938424211 5.00 +5 3074.499 542.471 0.0138888444 5.00 +6 3074.32 4512.087 0.090432848 5.00 +1 3074.382 2440.515 0.0620362797 5.00 +2 3074.161 1725.374 0.068471892 5.00 +4 3074.261 492.4327 0.0135963598 5.00 +5 3074.4 542.418 0.0248917657 5.00 +6 3074.42 4512.683 0.126941325 5.00 +1 3074.464 2440.524 0.0880363561 5.00 +2 3074.126 1725.333 0.0438417609 5.00 +4 3074.202 492.4319 0.00989489768 5.00 +5 3074.141 542.456 0.025385035 5.00 +6 3074.102 4512.045 0.100072474 5.00 +1 2771.407 2220.617 0.0816094357 5.48 +2 2771.146 1591.604 0.0951230782 5.48 +4 2771.201 465.737 0.0107554637 5.48 +5 2771.252 511.949 0.0179136819 5.48 +6 2771.338 4038.793 0.078588167 5.48 +1 2771.2 2220.237 0.058686455 5.48 +2 2771.187 1591.527 0.0724161584 5.48 +4 2771.304 465.7472 0.00799349736 5.48 +5 2771.069 511.957 0.0211683726 5.48 +6 2770.882 4038.617 0.104661836 5.48 +1 2770.911 2220.012 0.0990535209 5.48 +2 2770.804 1591.347 0.071833836 5.48 +4 2770.968 465.7114 0.0113306664 5.48 +5 2771.027 512.007 0.0228932304 5.48 +6 2770.961 4038.597 0.109353098 5.48 +1 2507.699 2026.225 0.0716414684 6.01 +2 2507.552 1471.231 0.0328466132 6.01 +4 2507.518 441.1545 0.00757924798 6.01 +5 2507.521 483.8155 0.00995916663 6.01 +6 2507.532 3628.228 0.0712432453 6.01 +1 2507.171 2025.899 0.0957439293 6.01 +2 2507.176 1471.023 0.0274244417 6.01 +4 2507.3 441.1384 0.0101795874 6.01 +5 2507.271 483.8166 0.00846664042 6.01 +6 2507.183 3628.021 0.0940579609 6.01 +1 2507.051 2025.784 0.0563950352 6.01 +2 2506.963 1471.019 0.0190499344 6.01 +4 2507.08 441.1161 0.0113326519 6.01 +5 2507.18 483.8071 0.00782361809 6.01 +6 2507.124 3628.007 0.0705131193 6.01 +1 2277.56 1854.76 0.0560178543 6.59 +2 2277.562 1364.002 0.0231862028 6.59 +4 2277.624 418.5383 0.00906868237 6.59 +5 2277.54 458.1541 0.00598239083 6.59 +6 2277.373 3271.953 0.0766948499 6.59 +1 2277.222 1854.462 0.106797004 6.59 +2 2277.259 1363.871 0.0190499344 6.59 +4 2277.21 418.5059 0.0109237814 6.59 +5 2277.119 458.1224 0.00724458418 6.59 +6 2277.213 3271.649 0.0957543733 6.59 +1 2276.881 1854.385 0.0465671558 6.59 +2 2276.97 1363.73 0.0352136337 6.59 +4 2277.06 418.5093 0.0102039698 6.59 +5 2277.046 458.1185 0.011663833 6.59 +6 2277.031 3271.672 0.0807192666 6.59 +1 2072.914 1700.55 0.056833089 7.23 +2 2072.842 1266.079 0.0225144398 7.23 +4 2072.856 397.3525 0.00967083244 7.23 +5 2072.74 434.1544 0.00744472968 7.23 +6 2072.547 2956.558 0.0800974407 7.23 +1 2072.345 1700.164 0.0692560467 7.23 +2 2072.269 1265.941 0.0247568172 7.23 +4 2072.314 397.3201 0.00733546181 7.23 +5 2072.296 434.1108 0.0132013636 7.23 +6 2072.247 2956.06 0.10753604 7.23 +1 2072.054 1699.975 0.055789784 7.23 +2 2072.2 1265.816 0.0348769265 7.23 +4 2072.383 397.2993 0.00573593933 7.23 +5 2072.275 434.0999 0.0122167508 7.23 +6 2072.157 2955.937 0.0919461799 7.23 +1 1895.222 1564.713 0.0311143054 7.92 +2 1895.234 1179.155 0.0322877686 7.92 +4 1895.083 378.0304 0.00833090631 7.92 +5 1895.049 412.3384 0.0105082824 7.92 +6 1895.057 2684.279 0.0485273119 7.92 +1 1894.814 1564.638 0.0298596718 7.92 +2 1894.977 1179.068 0.020918891 7.92 +4 1894.939 378.0264 0.00553389555 7.92 +5 1894.882 412.3172 0.00914308482 7.92 +6 1894.861 2684.14 0.0724568837 7.92 +1 1894.889 1564.556 0.0373951869 7.92 +2 1895.006 1179.047 0.0295651822 7.92 +4 1894.982 378.0249 0.00573837956 7.92 +5 1895.046 412.3335 0.00998924422 7.92 +6 1895.06 2684.186 0.0781562537 7.92 +1 1736.878 1442.996 0.0247870934 8.69 +2 1736.898 1099.891 0.0212814473 8.69 +4 1736.713 360.0195 0.0101412524 8.69 +5 1736.733 391.9983 0.00511673724 8.69 +6 1736.721 2442.572 0.0426567697 8.69 +1 1736.719 1442.819 0.0270351623 8.69 +2 1736.748 1099.829 0.0232142198 8.69 +4 1736.652 359.9977 0.00889949437 8.69 +5 1736.625 391.9922 0.00734955781 8.69 +6 1736.522 2442.207 0.103634454 8.69 +1 1736.261 1442.74 0.0296984848 8.69 +2 1736.583 1099.703 0.0234968083 8.69 +4 1736.561 359.9801 0.00629197902 8.69 +5 1736.517 391.985 0.00845340168 8.69 +6 1736.424 2442.121 0.0718672387 8.69 +1 1592.725 1331.245 0.0235902522 9.53 +2 1592.78 1026.027 0.0246596837 9.53 +4 1592.63 342.8355 0.0086663141 9.53 +5 1592.564 372.6877 0.00921091744 9.53 +6 1592.39 2223.779 0.0820786208 9.53 +1 1592.352 1330.965 0.0283284309 9.53 +2 1592.416 1025.981 0.027944588 9.53 +4 1592.257 342.8126 0.00704017045 9.53 +5 1592.257 372.6805 0.00957418404 9.53 +6 1592.205 2223.423 0.09880334 9.53 +1 1592.277 1330.889 0.044417339 9.53 +2 1592.322 1025.994 0.0213166602 9.53 +4 1592.151 342.8095 0.00777335192 9.53 +5 1592.153 372.6473 0.00932957662 9.53 +6 1592.198 2223.317 0.0936594896 9.53 +1 1469.417 1235.295 0.0265800677 10.40 +2 1469.372 962.113 0.0209308385 10.40 +4 1469.281 327.5985 0.00602702248 10.40 +5 1469.235 355.5779 0.00690282551 10.40 +6 1469.169 2038.793 0.0507552953 10.40 +1 1469.151 1235.155 0.02182888 10.40 +2 1469.12 961.958 0.0218082553 10.40 +4 1469.107 327.5708 0.00793322129 10.40 +5 1469.119 355.5751 0.00868728957 10.40 +6 1469.054 2038.49 0.0659393661 10.40 +1 1469.002 1235.003 0.023283041 10.40 +2 1469.048 962.032 0.0259538051 10.40 +4 1469.02 327.5761 0.00842312294 10.40 +5 1468.995 355.5517 0.00680154394 10.40 +6 1468.998 2038.434 0.0696591703 10.40 +1 1345.396 1137.575 0.0310885831 11.50 +2 1345.162 895.999 0.0280160668 11.50 +4 1344.918 311.4616 0.00650107683 11.50 +5 1344.678 337.4605 0.00894231514 11.50 +6 1344.448 1851.588 0.0647116682 11.50 +1 1344.222 1136.662 0.0241991735 11.50 +2 1344.063 895.402 0.0174241212 11.50 +4 1343.893 311.3074 0.00768921322 11.50 +5 1343.728 337.3085 0.00783996173 11.50 +6 1343.538 1850.122 0.0607091426 11.50 +1 1343.354 1135.941 0.0261323554 11.50 +2 1343.207 894.947 0.0196494275 11.50 +4 1343.079 311.2188 0.00747636275 11.50 +5 1342.969 337.1931 0.00794411732 11.50 +6 1342.814 1848.926 0.0604847088 11.50 +1 1243.316 1056.542 0.0190682983 12.60 +2 1243.497 840.8 0.0149666295 12.60 +4 1243.624 297.7064 0.010311353 12.60 +5 1243.768 322.1693 0.00410134124 12.60 +6 1243.898 1701.435 0.0773853991 12.60 +1 1244.045 1057.062 0.0248112878 12.60 +2 1244.139 841.156 0.0119331471 12.60 +4 1244.213 297.7878 0.00787756307 12.60 +5 1244.295 322.2388 0.00949083769 12.60 +6 1244.329 1702.204 0.0737590672 12.60 +1 1244.465 1057.437 0.0114061387 12.60 +2 1244.51 841.392 0.0202879274 12.60 +4 1244.54 297.8384 0.00828516747 12.60 +5 1244.567 322.2853 0.0067231689 12.60 +6 1244.611 1702.676 0.0554833308 12.60 +1 1149.455 981.571 0.023767625 13.80 +2 1149.411 788.892 0.0180997238 13.80 +4 1149.349 284.4407 0.00776279589 13.80 +5 1149.313 307.3025 0.00629325035 13.80 +6 1149.347 1560.937 0.0303660995 13.80 +1 1149.315 981.451 0.0138888444 13.80 +2 1149.286 788.889 0.0250778787 13.80 +4 1149.258 284.4266 0.00492585018 13.80 +5 1149.242 307.3062 0.011646287 13.80 +6 1149.295 1560.916 0.0263893918 13.80 +1 1149.222 981.441 0.022020445 13.80 +2 1149.191 788.799 0.0265875911 13.80 +4 1149.207 284.4063 0.00923585405 13.80 +5 1149.234 307.2812 0.0061673333 13.80 +6 1149.255 1560.846 0.0299733215 13.80 +1 1061.046 910.608 0.0251316533 15.10 +2 1060.988 739.22 0.018493242 15.10 +4 1060.945 271.4952 0.00548780466 15.10 +5 1060.931 292.882 0.0101528321 15.10 +6 1060.937 1431.135 0.0298747385 15.10 +1 1060.835 910.438 0.0226627448 15.10 +2 1060.848 739.162 0.026030751 15.10 +4 1060.84 271.4775 0.00662004532 15.10 +5 1060.782 292.8741 0.0050802559 15.10 +6 1060.79 1430.983 0.0226296266 15.10 +1 1060.763 910.369 0.0163370744 15.10 +2 1060.698 739.096 0.0239248824 15.10 +4 1060.693 271.4465 0.00913591813 15.10 +5 1060.71 292.8522 0.00573550347 15.10 +6 1060.698 1430.818 0.0273056771 15.10 +1 973.363 839.863 0.0180027776 16.60 +2 973.298 689.115 0.0194036079 16.60 +4 973.244 258.1015 0.0097941309 16.60 +5 973.209 278.008 0.00641404708 16.60 +6 973.187 1303.464 0.0291958901 16.60 +1 973.165 839.717 0.022805701 16.60 +2 973.165 689.028 0.0248515593 16.60 +4 973.113 258.0917 0.00584987179 16.60 +5 973.053 277.9633 0.00480634997 16.60 +6 973.072 1303.273 0.0199022612 16.60 +1 973.003 839.631 0.0245540221 16.60 +2 972.955 689.002 0.0249719843 16.60 +4 972.943 258.0675 0.00610286818 16.60 +5 972.969 277.9458 0.00650046152 16.60 +6 973.002 1303.188 0.020774985 16.60 +1 895.247 776.556 0.022680388 18.20 +2 895.151 643.743 0.028567464 18.20 +4 895.103 245.6604 0.00407480061 18.20 +5 895.069 264.1913 0.00677945426 18.20 +6 895.037 1190.771 0.0302803567 18.20 +1 894.975 776.397 0.0174384632 18.20 +2 894.966 643.533 0.0360568995 18.20 +4 894.926 245.6522 0.00329180801 18.20 +5 894.902 264.1788 0.00673765538 18.20 +6 894.916 1190.544 0.0280784615 18.20 +1 894.866 776.232 0.0205329004 18.20 +2 894.847 643.532 0.0267132926 18.20 +4 894.824 245.6268 0.00895857131 18.20 +5 894.797 264.1784 0.00948809781 18.20 +6 894.764 1190.369 0.0284411673 18.20 +1 826.963 720.93 0.0312409987 19.90 +2 826.836 603.339 0.0176889796 19.90 +4 826.758 234.3444 0.00527674142 19.90 +5 826.716 251.6415 0.00530518614 19.90 +6 826.708 1093.105 0.0232056028 19.90 +1 826.675 720.674 0.0199097966 19.90 +2 826.637 603.257 0.0289844786 19.90 +4 826.578 234.307 0.00898888202 19.90 +5 826.502 251.6246 0.0051365358 19.90 +6 826.476 1092.883 0.0300016666 19.90 +1 826.461 720.546 0.021549942 19.90 +2 826.462 603.155 0.020310096 19.90 +4 826.444 234.2933 0.00654224732 19.90 +5 826.431 251.6124 0.00859674357 19.90 +6 826.473 1092.743 0.0233687826 19.90 +1 764.096 669.613 0.0231969826 21.80 +2 763.99 565.667 0.0170323222 21.80 +4 763.973 223.5041 0.00659158555 21.80 +5 763.914 239.6602 0.0034228643 21.80 +6 763.876 1004.104 0.0347044666 21.80 +1 763.79 669.312 0.0243639077 21.80 +2 763.762 565.509 0.0171726527 21.80 +4 763.728 223.4557 0.00850299947 21.80 +5 763.678 239.6188 0.00663596263 21.80 +6 763.66 1003.867 0.0183330303 21.80 +1 763.631 669.185 0.0266926956 21.80 +2 763.615 565.407 0.0218654979 21.80 +4 763.592 223.4378 0.00706229424 21.80 +5 763.579 239.5856 0.00998919416 21.80 +6 763.572 1003.688 0.0331602171 21.80 +1 705.91 621.835 0.0300416378 23.90 +2 705.796 530.201 0.021515111 23.90 +4 705.732 213.0346 0.00892882971 23.90 +5 705.647 228.1254 0.00725975206 23.90 +6 705.618 922.399 0.0247568172 23.90 +1 705.548 621.564 0.0198595065 23.90 +2 705.529 530.033 0.024861617 23.90 +4 705.459 212.9922 0.00771854909 23.90 +5 705.438 228.0746 0.00722523356 23.90 +6 705.437 922.177 0.0295651822 23.90 +1 705.335 621.461 0.0215615398 23.90 +2 705.347 529.973 0.0249419326 23.90 +4 705.391 212.9879 0.00848581169 23.90 +5 705.348 228.0711 0.00887293638 23.90 +6 705.317 922.05 0.0154272486 23.90 +1 651.587 577.118 0.0247709507 26.20 +2 651.486 496.4882 0.00717328377 26.20 +4 651.429 202.8896 0.00587060474 26.20 +5 651.317 216.9366 0.00681204815 26.20 +6 651.236 846.941 0.0144533733 26.20 +1 651.184 576.881 0.0164590401 26.20 +2 651.21 496.2873 0.00849358582 26.20 +4 651.226 202.8492 0.00631949365 26.20 +5 651.151 216.8973 0.00610909159 26.20 +6 651.122 846.67 0.025019992 26.20 +1 651.072 576.737 0.0195984693 26.20 +2 651.059 496.2357 0.0120806043 26.20 +4 651.058 202.8272 0.00627980891 26.20 +5 651.025 216.8934 0.00629158168 26.20 +6 651.042 846.597 0.0149030198 26.20 +1 599.799 534.398 0.0198896958 28.80 +2 599.755 463.9995 0.00859796488 28.80 +4 599.691 192.8421 0.00610974631 28.80 +5 599.6 205.8855 0.0100282102 28.80 +6 599.568 775.775 0.016507574 28.80 +1 599.598 534.166 0.0184499322 28.80 +2 599.55 463.8609 0.0118291589 28.80 +4 599.533 192.8026 0.00422894786 28.80 +5 599.501 205.8557 0.00850535126 28.80 +6 599.462 775.53 0.0367695526 28.80 +1 599.379 534.118 0.029590539 28.80 +2 599.364 463.8136 0.0059045745 28.80 +4 599.365 192.7917 0.0073973644 28.80 +5 599.343 205.8169 0.00813934887 28.80 +6 599.342 775.473 0.0251017928 28.80 +1 554.334 496.5656 0.00700171408 31.50 +2 554.253 434.9547 0.00704279774 31.50 +4 554.096 183.5906 0.00762522131 31.50 +5 553.99 195.7646 0.00839070915 31.50 +6 553.924 713.612 0.0264121184 31.50 +1 553.933 496.245 0.00653758365 31.50 +2 553.946 434.751 0.0060876925 31.50 +4 553.826 183.5542 0.00748037432 31.50 +5 553.738 195.6983 0.0101015345 31.50 +6 553.73 713.332 0.0275608418 31.50 +1 553.736 496.1132 0.0108671984 31.50 +2 553.768 434.6557 0.0120996281 31.50 +4 553.775 183.5345 0.00403298897 31.50 +5 553.713 195.6744 0.00466304621 31.50 +6 553.648 713.176 0.018984204 31.50 +1 510.004 459.7645 0.0059820565 34.60 +2 509.853 406.2481 0.00554698116 34.60 +4 509.708 174.2451 0.00777875311 34.60 +5 509.576 185.4878 0.00478915441 34.60 +6 509.46 653.557 0.0292249893 34.60 +1 509.434 459.309 0.00922171351 34.60 +2 509.431 405.9639 0.0120037078 34.60 +4 509.35 174.1761 0.00837430594 34.60 +5 509.22 185.4366 0.00820999391 34.60 +6 509.189 653.165 0.0194550765 34.60 +1 509.168 459.0848 0.0108247864 34.60 +2 509.143 405.8196 0.00783479419 34.60 +4 509.083 174.1383 0.00923152208 34.60 +5 509.048 185.3862 0.00937741969 34.60 +6 509 652.947 0.0209308385 34.60 +1 469.5674 426.2049 0.0101562296 37.90 +2 469.455 379.8489 0.00858655926 37.90 +4 469.3577 165.4827 0.00727743087 37.90 +5 469.2606 175.9018 0.00801348863 37.90 +6 469.1877 599.876 0.0317238081 37.90 +1 469.1163 425.8007 0.00655446413 37.90 +2 469.058 379.5798 0.00343744091 37.90 +4 468.9874 165.3913 0.00476245735 37.90 +5 468.9267 175.8268 0.00736586723 37.90 +6 468.8984 599.495 0.0205060967 37.90 +1 468.8436 425.6125 0.00794638282 37.90 +2 468.8229 379.4262 0.00947185304 37.90 +4 468.7883 165.3502 0.00854845015 37.90 +5 468.7587 175.7887 0.0105252553 37.90 +6 468.7359 599.266 0.0269518088 37.90 +1 431.5614 394.3635 0.00878208404 41.60 +2 431.4359 354.4845 0.00626936998 41.60 +4 431.3417 156.7577 0.00227178344 41.60 +5 431.2288 166.4668 0.0106365408 41.60 +6 431.1252 549.296 0.0272470182 41.60 +1 431.0133 393.9262 0.0106214877 41.60 +2 430.9495 354.1733 0.0144229331 41.60 +4 430.9065 156.6554 0.00178437664 41.60 +5 430.8651 166.3565 0.00581764557 41.60 +6 430.8083 548.878 0.0218997717 41.60 +1 430.7373 393.6757 0.0103711619 41.60 +2 430.7191 353.9815 0.00679006627 41.60 +4 430.688 156.6039 0.00176323566 41.60 +5 430.646 166.3006 0.00865239851 41.60 +6 430.5991 548.643 0.0293955779 41.60 +1 396.6944 365.0408 0.00665402134 45.60 +2 396.5548 330.8477 0.00605813503 45.60 +4 396.4574 148.5041 0.0028929224 45.60 +5 396.3709 157.4076 0.00173320512 45.60 +6 396.264 503.431 0.0315737233 45.60 +1 396.1609 364.6126 0.00958039665 45.60 +2 396.0893 330.5048 0.0072660856 45.60 +4 396.0296 148.4022 0.00375978723 45.60 +5 395.9951 157.3099 0.0026360956 45.60 +6 395.9413 503.009 0.0278010791 45.60 +1 395.8739 364.3494 0.00958352753 45.60 +2 395.8249 330.3485 0.00671602561 45.60 +4 395.7999 148.3509 0.00254735157 45.60 +5 395.7725 157.2533 0.00374979999 45.60 +6 395.7187 502.727 0.034757733 45.60 +1 364.5804 337.8962 0.0107868438 50.00 +2 364.4496 308.7089 0.00747054215 50.00 +4 364.3202 140.6076 0.00107888832 50.00 +5 364.2149 148.8181 0.00233858932 50.00 +6 364.118 461.2198 0.00751505156 50.00 +1 363.9886 337.3983 0.00528213972 50.00 +2 363.8948 308.3442 0.00542918042 50.00 +4 363.82 140.4868 0.001713476 50.00 +5 363.7636 148.7009 0.002246998 50.00 +6 363.7131 460.6742 0.00936354634 50.00 +1 363.5937 337.0796 0.00508369944 50.00 +2 363.5433 308.1022 0.0109797996 50.00 +4 363.5018 140.4067 0.00211210795 50.00 +5 363.4687 148.622 0.00281069386 50.00 +6 363.4182 460.3147 0.00665289411 50.00 +1 335.3146 313.0578 0.00888909444 54.80 +2 335.1689 288.2589 0.0114450426 54.80 +4 335.0445 133.1457 0.00231106036 54.80 +5 334.9246 140.725 0.00219089023 54.80 +6 334.8012 423.1481 0.00520278771 54.80 +1 334.6526 312.4935 0.0111402424 54.80 +2 334.5402 287.7996 0.0110943229 54.80 +4 334.4575 133 0.00164316767 54.80 +5 334.3506 140.5663 0.00164954539 54.80 +6 334.255 422.4732 0.00831240038 54.80 +1 334.1494 312.0544 0.0099027269 54.80 +2 334.0563 287.4667 0.00698004298 54.80 +4 333.968 132.8789 0.00196697738 54.80 +5 333.9053 140.4436 0.00287123667 54.80 +6 333.8386 421.9118 0.00579448013 54.80 +1 308.1659 289.8675 0.00920461841 60.10 +2 308.0243 268.9696 0.00635484067 60.10 +4 307.9112 125.9952 0.00220363336 60.10 +5 307.8032 132.9706 0.00260844781 60.10 +6 307.6938 388.155 0.0102362102 60.10 +1 307.5515 289.3678 0.0109286779 60.10 +2 307.4529 268.5668 0.0104640336 60.10 +4 307.368 125.8406 0.00368836007 60.10 +5 307.2812 132.8177 0.00199022612 60.10 +6 307.1859 387.4819 0.00795418129 60.10 +1 307.0576 288.9328 0.00650661202 60.10 +2 306.9672 268.2084 0.00557709602 60.10 +4 306.8836 125.7181 0.00267749883 60.10 +5 306.7933 132.6799 0.0022558812 60.10 +6 306.7136 386.9017 0.0081658435 60.10 +1 283.143 268.3984 0.00674862949 65.90 +2 282.9803 250.8863 0.00921091744 65.90 +4 282.8479 119.1397 0.00310821492 65.90 +5 282.7252 125.5441 0.0022558812 65.90 +6 282.5933 355.8873 0.00690369466 65.90 +1 282.411 267.7776 0.00628840202 65.90 +2 282.306 250.3982 0.0128209204 65.90 +4 282.2119 118.9573 0.00159405144 65.90 +5 282.125 125.3712 0.0029488981 65.90 +6 282.034 355.1797 0.0105802174 65.90 +1 281.9014 267.3086 0.0106828835 65.90 +2 281.8084 250.0386 0.00581755963 65.90 +4 281.7295 118.829 0.00159373775 65.90 +5 281.6666 125.2366 0.0019089264 65.90 +6 281.6029 354.6131 0.00655202259 65.90 +1 259.4041 247.8826 0.00597528242 72.30 +2 259.2737 233.4706 0.00902019955 72.30 +4 259.1364 112.4209 0.00287906235 72.30 +5 259.0169 118.3017 0.00249419326 72.30 +6 258.9175 325.6353 0.0105128968 72.30 +1 258.7787 247.3274 0.00584499786 72.30 +2 258.6828 233.0149 0.00959108961 72.30 +4 258.5873 112.2554 0.0020356817 72.30 +5 258.4993 118.1375 0.00304055916 72.30 +6 258.4228 324.9782 0.00817288199 72.30 +1 258.2773 246.8958 0.00778948009 72.30 +2 258.2035 232.6841 0.0126865677 72.30 +4 258.1221 112.129 0.00222261108 72.30 +5 258.0626 118.0094 0.00318496468 72.30 +6 258.0029 324.4716 0.0114106967 72.30 +1 237.6596 228.9302 0.00811640314 79.20 +2 237.5541 217.2463 0.00499009018 79.20 +4 237.4572 106.0575 0.00233773395 79.20 +5 237.3648 111.446 0.003082207 79.20 +6 237.2806 298.0795 0.0103568818 79.20 +1 237.1618 228.5062 0.00596791421 79.20 +2 237.0876 216.8876 0.00736641025 79.20 +4 237.0163 105.9215 0.00242590189 79.20 +5 236.9493 111.3111 0.00245132617 79.20 +6 236.8827 297.5444 0.00523679291 79.20 +1 236.7848 228.1787 0.00935419692 79.20 +2 236.7168 216.6038 0.00631316086 79.20 +4 236.6542 105.8138 0.00200399601 79.20 +5 236.6033 111.2037 0.00253396922 79.20 +6 236.5428 297.1395 0.0110691011 79.20 +1 218.1549 211.8298 0.0056987718 86.90 +2 218.0155 202.374 0.0100119928 86.90 +4 217.8915 100.105 0.00177763888 86.90 +5 217.7928 105.0413 0.00215429803 86.90 +6 217.6814 273.1932 0.00601631116 86.90 +1 217.5294 211.2974 0.010067969 86.90 +2 217.448 201.9391 0.00312873776 86.90 +4 217.3624 99.944 0.00144913767 86.90 +5 217.2882 104.8752 0.00302919131 86.90 +6 217.2016 272.5927 0.00651467574 86.90 +1 217.1037 210.9033 0.00637973354 86.90 +2 217.0252 201.6149 0.0101827796 86.90 +4 216.9454 99.8174 0.00253456111 86.90 +5 216.881 104.7479 0.00204670467 86.90 +6 216.8111 272.116 0.00730342385 86.90 +1 199.7027 195.5404 0.00868124415 95.30 +2 199.5846 188.1038 0.0063068217 95.30 +4 199.4812 94.3165 0.00135830777 95.30 +5 199.3851 98.8241 0.00163370744 95.30 +6 199.2776 249.9094 0.00666813317 95.30 +1 199.1585 195.0569 0.00789487175 95.30 +2 199.0744 187.7102 0.00529679148 95.30 +4 198.9824 94.1594 0.00205036582 95.30 +5 198.9024 98.6587 0.00257701378 95.30 +6 198.8271 249.3491 0.00753186564 95.30 +1 198.7328 194.6808 0.00552593883 95.30 +2 198.6466 187.3947 0.00939366808 95.30 +4 198.5894 94.0308 0.00283830936 95.30 +5 198.5551 98.5316 0.00328694387 95.30 +6 198.4968 248.8901 0.00538971242 95.30 +1 183.5051 181.1052 0.0089541052 104.00 +2 183.3967 175.3497 0.00644523079 104.00 +4 183.2949 89.0437 0.00304647337 104.00 +5 183.2069 93.1691 0.00325407437 104.00 +6 183.1242 229.5373 0.00461746684 104.00 +1 182.9947 180.6576 0.00496024193 104.00 +2 182.9094 174.9852 0.0100755149 104.00 +4 182.847 88.8996 0.00252665787 104.00 +5 182.7969 93.0276 0.0022592034 104.00 +6 182.7201 229.0035 0.00735968749 104.00 +1 182.6272 180.3184 0.00580551462 104.00 +2 182.5618 174.6717 0.0083881464 104.00 +4 182.4965 88.7868 0.00258379566 104.00 +5 182.4462 92.9054 0.00273934299 104.00 +6 182.3775 228.6159 0.00801554739 104.00 +1 166.4448 165.7899 0.00747455684 115.00 +2 166.3552 161.6596 0.00882405802 115.00 +4 166.268 83.3038 0.00223517337 115.00 +5 166.1981 87.028 0.00296984848 115.00 +6 166.1144 208.0919 0.00753452056 115.00 +1 166.0121 165.39 0.0069267597 115.00 +2 165.9342 161.3081 0.0101925954 115.00 +4 165.8531 83.1581 0.00335991071 115.00 +5 165.7966 86.8875 0.00279732015 115.00 +6 165.7304 207.6229 0.00889882015 115.00 +1 165.632 165.0638 0.00707361294 115.00 +2 165.5584 161.0171 0.00709429348 115.00 +4 165.5123 83.0435 0.00189868375 115.00 +5 165.4666 86.7724 0.00273569004 115.00 +6 165.4108 207.2474 0.00817092406 115.00 +1 152.1104 152.8061 0.00257468445 126.00 +2 152.0231 149.9298 0.0029387072 126.00 +4 151.934 78.3092 0.00412746896 126.00 +5 151.8477 81.7 0.00346698716 126.00 +6 151.7761 190.2021 0.0128898798 126.00 +1 151.6961 152.4156 0.00395524968 126.00 +2 151.6281 149.5946 0.00421710801 126.00 +4 151.5587 78.1757 0.0029190752 126.00 +5 151.489 81.5654 0.00340939877 126.00 +6 151.4291 189.7505 0.0075448658 126.00 +1 151.3614 152.1127 0.0037577919 126.00 +2 151.301 149.3244 0.0030893365 126.00 +4 151.2454 78.0655 0.00365034245 126.00 +5 151.1945 81.4492 0.00261457454 126.00 +6 151.1403 189.4034 0.00876150672 126.00 +1 138.9342 140.7634 0.00291273068 138.00 +2 138.8602 138.9411 0.00517194354 138.00 +4 138.7801 73.5454 0.00253061257 138.00 +5 138.7007 76.626 0.0034525353 138.00 +6 138.6297 173.7141 0.0113731702 138.00 +1 138.5463 140.4108 0.00348654557 138.00 +2 138.4912 138.6328 0.00252111087 138.00 +4 138.4317 73.4199 0.00392542991 138.00 +5 138.3727 76.4913 0.00268719184 138.00 +6 138.3176 173.3196 0.0106585177 138.00 +1 138.2521 140.1373 0.00378430971 138.00 +2 138.2047 138.3881 0.00226472956 138.00 +4 138.1517 73.3247 0.00202014851 138.00 +5 138.101 76.3917 0.00231106036 138.00 +6 138.0586 172.9966 0.00394765753 138.00 +1 126.9574 129.7203 0.00253396922 151.00 +2 126.8806 128.7683 0.00384460661 151.00 +4 126.8054 69.0751 0.00275844159 151.00 +5 126.742 71.8644 0.00231170932 151.00 +6 126.6837 158.7235 0.0143994792 151.00 +1 126.6066 129.3961 0.00317316876 151.00 +2 126.5479 128.4849 0.00380644191 151.00 +4 126.489 68.9535 0.00132853303 151.00 +5 126.438 71.741 0.00282842712 151.00 +6 126.3955 158.3475 0.00293001706 151.00 +1 126.3309 129.139 0.00255734237 151.00 +2 126.2808 128.2506 0.00415018072 151.00 +4 126.2341 68.8616 0.00386833297 151.00 +5 126.1888 71.6435 0.00392746738 151.00 +6 126.1465 158.0477 0.00221382023 151.00 +1 115.4115 118.9825 0.00279016129 166.00 +2 115.346 118.7878 0.00386212377 166.00 +4 115.2719 64.6178 0.00327658359 166.00 +5 115.2118 67.1271 0.00324484206 166.00 +6 115.162 144.3241 0.00390243514 166.00 +1 115.0918 118.6831 0.00314467804 166.00 +2 115.039 118.5145 0.00265047166 166.00 +4 114.9805 64.5025 0.00253475837 166.00 +5 114.9264 67.009 0.0024979992 166.00 +6 114.8887 143.9838 0.00263362868 166.00 +1 114.8299 118.4398 0.00241163845 166.00 +2 114.7895 118.3002 0.0013251415 166.00 +4 114.7471 64.4067 0.00317820704 166.00 +5 114.7032 66.9157 0.00231969826 166.00 +6 114.6675 143.7161 0.00255127419 166.00 +1 105.089 109.2984 0.00355584027 182.00 +2 105.032 109.7028 0.00240333102 182.00 +4 104.9727 60.4973 0.00299349294 182.00 +5 104.9121 62.7599 0.00240603408 182.00 +6 104.8645 131.4896 0.00311833289 182.00 +1 104.8038 109.0236 0.00372612399 182.00 +2 104.7563 109.4509 0.00156492811 182.00 +4 104.7078 60.3875 0.00291290233 182.00 +5 104.6627 62.6502 0.00227508242 182.00 +6 104.6251 131.1849 0.00336288567 182.00 +1 104.574 108.8045 0.00258553669 182.00 +2 104.5382 109.253 0.00318433667 182.00 +4 104.4941 60.3048 0.00236558661 182.00 +5 104.4549 62.5627 0.00213096222 182.00 +6 104.4253 130.9417 0.00298345437 182.00 +1 96.0171 100.7106 0.00404524412 199.00 +2 95.9599 101.5653 0.00345268012 199.00 +4 95.9041 56.7604 0.00225033331 199.00 +5 95.8484 58.7986 0.00231603109 199.00 +6 95.8009 120.196 0.00387298335 199.00 +1 95.7433 100.4488 0.0020189106 199.00 +2 95.6995 101.3292 0.00255264569 199.00 +4 95.6535 56.6556 0.00276839304 199.00 +5 95.6079 58.6958 0.0031962478 199.00 +6 95.5709 119.9111 0.00250778787 199.00 +1 95.5229 100.2404 0.0018984204 199.00 +2 95.4907 101.1362 0.00289413199 199.00 +4 95.4572 56.5735 0.00248696602 199.00 +5 95.4197 58.6113 0.00194961535 199.00 +6 95.389 119.6881 0.00389217163 199.00 +1 87.4519 92.5304 0.00272836948 218.00 +2 87.4032 93.7576 0.00249479458 218.00 +4 87.3498 53.1259 0.00288946362 218.00 +5 87.3025 54.9566 0.00233323809 218.00 +6 87.2662 109.5835 0.00383731677 218.00 +1 87.2179 92.3036 0.00285376944 218.00 +2 87.1798 93.5466 0.00322552321 218.00 +4 87.1441 53.0322 0.0035771497 218.00 +5 87.1051 54.8661 0.00165196852 218.00 +6 87.0713 109.3406 0.00253061257 218.00 +1 87.0347 92.1302 0.0020918891 218.00 +2 87.0044 93.3873 0.0018817545 218.00 +4 86.9697 52.9607 0.00327429382 218.00 +5 86.9407 54.7927 0.00289844786 218.00 +6 86.9135 109.1424 0.00225477272 218.00 +1 79.6781 85.0463 0.00261935106 239.00 +2 79.636 86.5471 0.00249979999 239.00 +4 79.5938 49.70344 0.00111823075 239.00 +5 79.5482 51.3739 0.00209499403 239.00 +6 79.506 99.9404 0.00168641632 239.00 +1 79.4703 84.8427 0.00253001976 239.00 +2 79.4345 86.3586 0.00188785593 239.00 +4 79.4015 49.61811 0.000966276358 239.00 +5 79.3653 51.2818 0.00197888858 239.00 +6 79.3342 99.7203 0.00398007538 239.00 +1 79.3035 84.681 0.00191311265 239.00 +2 79.2731 86.2052 0.00259152465 239.00 +4 79.2478 49.55108 0.000671833313 239.00 +5 79.2195 51.2164 0.00281496004 239.00 +6 79.1924 99.5466 0.00239248824 239.00 +1 72.6294 78.2057 0.00311143054 262.00 +2 72.5905 79.8985 0.00217370651 262.00 +4 72.5573 46.53101 0.00105085204 262.00 +5 72.5241 48.00799 0.000449988889 262.00 +6 72.4885 91.2058 0.00311704989 262.00 +1 72.4418 78.0202 0.00293530237 262.00 +2 72.4106 79.7347 0.00307262103 262.00 +4 72.3829 46.45349 0.000783256025 262.00 +5 72.3601 47.92843 0.000963436557 262.00 +6 72.3286 91.0111 0.00263988636 262.00 +1 72.2863 77.8747 0.00209308385 262.00 +2 72.2666 79.5883 0.00233687826 262.00 +4 72.2465 46.39232 0.000538107796 262.00 +5 72.2275 47.86694 0.00108260796 262.00 +6 72.2016 90.8623 0.00156875747 262.00 +1 66.0758 71.7802 0.00215777663 288.00 +2 66.0367 73.6119 0.0023767625 288.00 +4 66.0015 43.49537 0.000830548012 288.00 +5 65.9783 44.81246 0.000713890748 288.00 +6 65.9465 83.0785 0.00300749065 288.00 +1 65.9016 71.6228 0.00344034882 288.00 +2 65.8804 73.459 0.00328024389 288.00 +4 65.858 43.42639 0.000668199072 288.00 +5 65.8348 44.74104 0.000743801049 288.00 +6 65.8078 82.9151 0.00179136819 288.00 +1 65.7741 71.4977 0.00327429382 288.00 +2 65.7587 73.3425 0.00217370651 288.00 +4 65.7427 43.37129 0.00105531512 288.00 +5 65.7207 44.68642 0.000715234227 288.00 +6 65.7003 82.7781 0.00153264477 288.00 +1 62.99 68.7481 0.00311271586 302.00 +2 62.956 70.6215 0.00339190212 302.00 +4 62.9247 42.03926 0.000630269784 302.00 +5 62.9023 43.28158 0.000923233448 302.00 +6 62.8739 79.2607 0.00209785605 302.00 +1 62.8333 68.5843 0.00302009934 302.00 +2 62.8085 70.4793 0.00161276161 302.00 +4 62.7878 41.96844 0.000928137921 302.00 +5 62.766 43.2119 0.000662117814 302.00 +6 62.7376 79.098 0.00272396769 302.00 +1 62.7107 68.466 0.0019078784 302.00 +2 62.691 70.3637 0.00220476756 302.00 +4 62.6759 41.91776 0.000723491534 302.00 +5 62.6619 43.15967 0.00069599569 302.00 +6 62.6417 78.9793 0.00156236999 302.00 +1 61.2059 66.98 0.00163707055 310.00 +2 61.1819 68.8911 0.00291701903 310.00 +4 61.1608 41.19317 0.000632779582 310.00 +5 61.14 42.39745 0.000737733014 310.00 +6 61.1218 77.0963 0.00182784026 310.00 +1 61.0956 66.8753 0.00127318498 310.00 +2 61.079 68.7862 0.00278854801 310.00 +4 61.0623 41.14454 0.000921542186 310.00 +5 61.048 42.34886 0.000647796264 310.00 +6 61.0268 76.9701 0.00218380402 310.00 +1 61.0047 66.7795 0.0026201145 310.00 +2 60.9911 68.7026 0.00201593651 310.00 +4 60.9816 41.1068 0.000626418391 310.00 +5 60.9708 42.30912 0.000766524625 310.00 +6 60.9618 76.8885 0.00243823707 310.00 diff --git a/calib_data/_calib_data/calib_2023-06-27.txt b/calib_data/_calib_data/calib_2023-06-27.txt new file mode 100644 index 0000000..ea7afb8 --- /dev/null +++ b/calib_data/_calib_data/calib_2023-06-27.txt @@ -0,0 +1,746 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 29180.04 24405.9 0.879317917 1.38 +2 29165.13 18222.78 0.311704989 1.38 +5 29143.74 20174.35 0.991287042 1.38 +6 29126.05 20416.28 20.1729462 1.38 +1 29115.08 24360.12 0.747368718 1.38 +2 29108.17 18191.02 0.27342275 1.38 +5 29095.75 20143.64 0.935221899 1.38 +6 29082.63 20385.77 8.27847872 1.38 +1 29070.32 24324.09 0.605053717 1.38 +2 29064.81 18169.15 0.505420617 1.38 +5 29058.61 20120.61 0.825887402 1.38 +6 29049.11 20373.67 4.73415357 1.38 +1 29004.29 24272.82 0.902972868 1.42 +2 28997.44 18131.37 0.247002024 1.42 +5 28992.68 20080.48 0.862415213 1.42 +6 28984.08 20327.34 4.68216189 1.42 +1 28983.95 24257.88 0.699113725 1.42 +2 28984.6 18122.28 0.434004608 1.42 +5 28981.3 20075.51 0.732181671 1.42 +6 28981.58 20320.48 5.70771057 1.42 +1 28982.4 24254.15 0.695305688 1.42 +2 28981.14 18121.81 0.56770591 1.42 +5 28978.21 20071.42 0.703960226 1.42 +6 28975.9 20320.02 5.53797436 1.42 +1 26856.16 22591.11 0.814917174 1.51 +2 26857.22 16944.31 0.441463475 1.51 +5 26856.45 18742.72 0.801598403 1.51 +6 26853.41 18984.97 5.37399386 1.51 +1 26854.35 22592.36 0.814272682 1.51 +2 26857.9 16945.49 0.366456 1.51 +5 26858.26 18743.62 0.822046227 1.51 +6 26854.14 19002.38 5.80849034 1.51 +1 26855.05 22589.81 0.662638665 1.51 +2 26856.71 16944.84 0.414294581 1.51 +5 26856.14 18743.29 0.744372219 1.51 +6 26854.33 19003.04 5.82894845 1.51 +1 21569.13 18404.56 1.14150777 1.66 +2 21565.77 13961.58 0.777791746 1.66 +5 21566.16 15380.35 1.53109438 1.66 +6 21571.24 15591.76 2.64326313 1.66 +1 21567.72 18408.15 1.04721058 1.66 +2 21570.48 13965.61 1.19928729 1.66 +5 21568.05 15373.67 0.847590703 1.66 +6 21566.73 15606.31 1.82046423 1.66 +1 21571.99 18407.06 1.9504461 1.66 +2 21576.74 13967.57 1.1559455 1.66 +5 21576.6 15377.29 1.13449989 1.66 +6 21570.93 15590.59 1.84404176 1.66 +1 17617.07 15241.71 1.50628351 1.82 +2 17621.93 11691.31 2.4794939 1.82 +5 17622.27 12816.44 2.26888519 1.82 +6 17630.63 13005.35 1.8126362 1.82 +1 17623 15250.07 1.66667633 1.82 +2 17633.66 11685.86 2.04695872 1.82 +5 17638.8 12827.83 1.95704113 1.82 +6 17634.76 13004.81 2.23192518 1.82 +1 17635.63 15250.24 2.52615122 1.82 +2 17628.82 11688.72 2.68781696 1.82 +5 17623.86 12818.73 1.09426231 1.82 +6 17624.72 13015.31 2.67426438 1.82 +1 14516.54 12721.36 0.253456111 1.99 +2 14516.1 9848.93 0.395487042 1.99 +5 14516.87 10766.79 0.375885621 1.99 +6 14516.8 10926.75 1.38219029 1.99 +1 14516.15 12721.07 0.472239346 1.99 +2 14515.13 9849.49 0.241847059 1.99 +5 14515.43 10765.71 0.273294713 1.99 +6 14516.05 10928.49 1.12866736 1.99 +1 14515.45 12720.63 0.318763235 1.99 +2 14515.44 9848.48 0.217163533 1.99 +5 14516.14 10765.51 0.302142351 1.99 +6 14516.72 10929.44 1.56870647 1.99 +1 12090.99 10722.34 0.390947567 2.18 +2 12090.35 8378.97 0.360013889 2.18 +5 12090.65 9128.14 0.361164782 2.18 +6 12090.85 9269.12 1.03409864 2.18 +1 12090.56 10723.29 0.331496606 2.18 +2 12090.44 8379.02 0.375179957 2.18 +5 12090.41 9128.01 0.359290968 2.18 +6 12090.82 9269.11 0.754778113 2.18 +1 12090.23 10722.01 0.412662089 2.18 +2 12090.67 8378.35 0.241764348 2.18 +5 12090.35 9127.99 0.339838197 2.18 +6 12090.15 9267.02 0.986083161 2.18 +1 10161.38 9112.24 0.490958247 2.39 +2 10161.23 7182.05 0.340954542 2.39 +5 10160.23 7801.11 0.507237617 2.39 +6 10159.97 7918.28 2.20112698 2.39 +1 10162.35 9111.83 0.510303831 2.39 +2 10161.17 7182.85 0.367763511 2.39 +5 10159.32 7801.65 0.606341488 2.39 +6 10159.22 7920.85 2.17201519 2.39 +1 10161.02 9111.57 0.563568984 2.39 +2 10160.37 7183.56 0.253456111 2.39 +5 10160.53 7800.83 0.388085042 2.39 +6 10161.26 7920.24 1.13931558 2.39 +1 8620.63 7809.1 0.623377895 2.62 +2 8619.61 6207.91 0.422953898 2.62 +5 8619.1 6720.64 0.57396864 2.62 +6 8620.03 6823.22 0.911899117 2.62 +1 8620.14 7809.68 0.831360331 2.62 +2 8619.68 6207.82 0.429837178 2.62 +5 8619.91 6720.93 0.472451056 2.62 +6 8619.54 6822.18 0.783938773 2.62 +1 8618.31 7809.57 0.632463438 2.62 +2 8618.95 6207.01 0.558471127 2.62 +5 8619.45 6721.4 0.602494813 2.62 +6 8619.5 6824.75 1.37479089 2.62 +1 7344.84 6719.64 0.351909079 2.88 +2 7344.47 5384.27 0.190289254 2.88 +5 7344.95 5813.5 0.341467422 2.88 +6 7344.16 5900.74 1.9118682 2.88 +1 7344.69 6720.24 0.239666435 2.88 +2 7344.73 5384.11 0.297136332 2.88 +5 7345.63 5813.19 0.302803567 2.88 +6 7345.41 5900.87 0.403744969 2.88 +1 7344.65 6720 0.36 2.88 +2 7344.77 5384.2 0.200499377 2.88 +5 7344.46 5813.14 0.166853229 2.88 +6 7344.48 5901.33 0.728978738 2.88 +1 6362.25 5870.96 0.201096992 3.15 +2 6362.94 4736.478 0.10178212 3.15 +5 6362.64 5102.08 0.270481053 3.15 +6 6361.76 5177.99 0.389217163 3.15 +1 6361.8 5870.95 0.231624696 3.15 +2 6363.44 4736.271 0.127972263 3.15 +5 6363.63 5101.88 0.288027776 3.15 +6 6362.16 5177.74 0.447928566 3.15 +1 6361.79 5870.91 0.369986486 3.15 +2 6362.19 4736.419 0.202101212 3.15 +5 6362.35 5102.21 0.27256192 3.15 +6 6361.99 5177.68 0.46406896 3.15 +1 5510.95 5127.4 0.28213472 3.46 +2 5510.72 4165.387 0.0887248556 3.46 +5 5510.92 4474.477 0.101587893 3.46 +6 5510.24 4542.849 0.407473803 3.46 +1 5510.14 5126.97 0.321885073 3.46 +2 5510.22 4165.107 0.11036349 3.46 +5 5510.6 4474.317 0.110517419 3.46 +6 5510.79 4542.504 0.200395609 3.46 +1 5509.72 5126.36 0.232894826 3.46 +2 5509.97 4164.937 0.0988943881 3.46 +5 5510.51 4474.183 0.130851442 3.46 +6 5510.42 4542.873 0.135705932 3.46 +1 4824.451 4521.474 0.0562707739 3.79 +2 4824.406 3698.065 0.097079864 3.79 +5 4824.338 3963.433 0.0706406399 3.79 +6 4824.366 4023.052 0.229925205 3.79 +1 4824.343 4521.378 0.0652196289 3.79 +2 4824.256 3698.121 0.0685631096 3.79 +5 4824.091 3963.44 0.0795487272 3.79 +6 4823.99 4022.372 0.177774014 3.79 +1 4824.127 4521.319 0.0893246886 3.79 +2 4824.165 3697.879 0.06231292 3.79 +5 4824.131 3963.444 0.0406988943 3.79 +6 4824.134 4022.861 0.26872458 3.79 +1 4237.276 3998.271 0.0932035407 4.16 +2 4237.285 3290.68 0.0454312668 4.16 +5 4237.122 3518.976 0.0740297238 4.16 +6 4237.134 3570.587 0.255882981 4.16 +1 4237.26 3998.126 0.0891986547 4.16 +2 4237.187 3290.743 0.0815358817 4.16 +5 4237.152 3518.846 0.108666462 4.16 +6 4237.243 3570.357 0.160368638 4.16 +1 4237.182 3997.99 0.0401746189 4.16 +2 4237.125 3290.636 0.0400049997 4.16 +5 4237.218 3518.814 0.0600699592 4.16 +6 4237.327 3570.45 0.202494444 4.16 +1 3749.407 3559.315 0.0910521828 4.56 +2 3749.399 2946.686 0.0823431843 4.56 +5 3749.343 3144.588 0.103545159 4.56 +6 3749.234 3189.769 0.169902619 4.56 +1 3749.53 3559.395 0.0687058949 4.56 +2 3749.367 2946.677 0.105915532 4.56 +5 3749.357 3144.662 0.0682905557 4.56 +6 3749.41 3189.49 0.133873074 4.56 +1 3749.379 3559.281 0.0712804321 4.56 +2 3749.475 2946.643 0.0396749291 4.56 +5 3749.408 3144.568 0.0695384786 4.56 +6 3749.341 3189.433 0.153395241 4.56 +1 3335.184 3183.215 0.0856066586 5.00 +2 3335.212 2650.137 0.100030495 5.00 +5 3335.147 2822.541 0.0537856858 5.00 +6 3335.103 2862.336 0.150865503 5.00 +1 3335.163 3183.212 0.0429371634 5.00 +2 3335.261 2650.215 0.0616481954 5.00 +5 3335.318 2822.614 0.0621321173 5.00 +6 3335.198 2862.1 0.196707905 5.00 +1 3335.132 3183.092 0.085097591 5.00 +2 3335.119 2650.108 0.086842386 5.00 +5 3335.079 2822.519 0.0653980122 5.00 +6 3335.142 2861.826 0.142654828 5.00 +1 2981.481 2859.505 0.073406403 5.48 +2 2981.558 2393.099 0.0771809562 5.48 +5 2981.543 2544.272 0.0579620566 5.48 +6 2981.528 2578.686 0.151150256 5.48 +1 2981.588 2859.391 0.0844564977 5.48 +2 2981.512 2393.135 0.0889522344 5.48 +5 2981.481 2544.24 0.0808579 5.48 +6 2981.432 2579.044 0.0777971722 5.48 +1 2981.578 2859.495 0.0568550789 5.48 +2 2981.649 2393.082 0.0728807245 5.48 +5 2981.582 2544.197 0.0782182843 5.48 +6 2981.592 2578.901 0.135937118 5.48 +1 2675.249 2576.975 0.0731197648 6.01 +2 2675.349 2167.699 0.0809993827 6.01 +5 2675.304 2300.289 0.0719367778 6.01 +6 2675.275 2331.213 0.178269739 6.01 +1 2675.236 2576.899 0.0785550762 6.01 +2 2675.25 2167.68 0.0941063228 6.01 +5 2675.201 2300.492 0.0845316509 6.01 +6 2675.218 2331.21 0.126664912 6.01 +1 2675.214 2576.817 0.0430360314 6.01 +2 2675.035 2167.706 0.0792615922 6.01 +5 2675.083 2300.496 0.0540592268 6.01 +6 2675.277 2330.996 0.145094452 6.01 +1 2411.167 2331.232 0.115817097 6.59 +2 2411.046 1970.678 0.0599299591 6.59 +5 2410.908 2087.855 0.0778877397 6.59 +6 2411.028 2114.872 0.1361602 6.59 +1 2411.212 2331.196 0.0649030046 6.59 +2 2411.105 1970.553 0.069123802 6.59 +5 2410.898 2087.929 0.101009406 6.59 +6 2410.906 2115.188 0.192529478 6.59 +1 2411.034 2331.393 0.0662276377 6.59 +2 2411.015 1970.603 0.0883408173 6.59 +5 2410.952 2087.779 0.047317016 6.59 +6 2410.999 2115.023 0.0981432626 6.59 +1 2179.25 2114.483 0.0631514054 7.23 +2 2179.288 1795.762 0.0721637028 7.23 +5 2179.269 1899.227 0.0459575891 7.23 +6 2179.121 1923.417 0.109362242 7.23 +1 2179.306 2114.258 0.0713274141 7.23 +2 2179.368 1795.643 0.0833552638 7.23 +5 2179.247 1899.373 0.078829563 7.23 +6 2179.378 1923.248 0.0811763512 7.23 +1 2179.42 2114.374 0.0816602719 7.23 +2 2179.288 1795.518 0.0812132994 7.23 +5 2179.247 1899.239 0.111062595 7.23 +6 2179.199 1923.479 0.116029738 7.23 +1 1979.261 1926.103 0.0704989362 7.92 +2 1979.243 1643.063 0.0524032442 7.92 +5 1979.277 1735.176 0.0764748325 7.92 +6 1979.415 1756.908 0.179709766 7.92 +1 1979.303 1926.194 0.0701740693 7.92 +2 1979.198 1642.903 0.0727880485 7.92 +5 1979.321 1735.038 0.0886882179 7.92 +6 1979.413 1756.826 0.148823385 7.92 +1 1979.258 1925.9 0.0450777107 7.92 +2 1979.377 1642.798 0.0356875328 7.92 +5 1979.329 1734.967 0.0701291665 7.92 +6 1979.306 1756.828 0.123043082 7.92 +1 1803.16 1759.188 0.0544205843 8.69 +2 1803.304 1506.442 0.0294210809 8.69 +5 1803.316 1588.679 0.0264367169 8.69 +6 1803.091 1608.448 0.123262322 8.69 +1 1803.194 1759.202 0.0885189245 8.69 +2 1803.426 1506.408 0.0375179957 8.69 +5 1803.488 1588.596 0.0303051151 8.69 +6 1803.145 1608.856 0.116217038 8.69 +1 1803.064 1759.109 0.0436451601 8.69 +2 1803.247 1506.492 0.039364959 8.69 +5 1803.352 1588.63 0.0350998575 8.69 +6 1803.165 1608.577 0.104566247 8.69 +1 1644.884 1608.747 0.0861864258 9.53 +2 1644.916 1383.262 0.0305221231 9.53 +5 1645.127 1456.652 0.0301595756 9.53 +6 1645.275 1474.031 0.0399612312 9.53 +1 1644.924 1608.566 0.0790847647 9.53 +2 1645.04 1383.208 0.0480374854 9.53 +5 1645.267 1456.627 0.03361696 9.53 +6 1645.335 1474.053 0.0586011945 9.53 +1 1644.975 1608.758 0.0408607391 9.53 +2 1645.096 1383.197 0.0340602408 9.53 +5 1645.243 1456.573 0.0390909197 9.53 +6 1645.285 1473.933 0.0302009934 9.53 +1 1510.552 1480.267 0.0231106036 10.40 +2 1510.563 1278.053 0.0289153938 10.40 +5 1510.579 1344.099 0.0169381227 10.40 +6 1510.573 1359.816 0.0365294402 10.40 +1 1510.566 1480.272 0.01713476 10.40 +2 1510.585 1278.062 0.028698432 10.40 +5 1510.589 1344.068 0.0266383183 10.40 +6 1510.595 1359.944 0.0520422905 10.40 +1 1510.572 1480.308 0.0196367003 10.40 +2 1510.562 1278.054 0.020697826 10.40 +5 1510.574 1344.069 0.0314149646 10.40 +6 1510.578 1359.777 0.0346713138 10.40 +1 1372.905 1348.16 0.0190262976 11.50 +2 1372.877 1168.935 0.0283637092 11.50 +5 1372.88 1227.565 0.0218746429 11.50 +6 1372.87 1241.65 0.0283548938 11.50 +1 1372.849 1348.179 0.0241018671 11.50 +2 1372.847 1168.912 0.020189106 11.50 +5 1372.858 1227.514 0.0255812431 11.50 +6 1372.839 1241.642 0.0317742034 11.50 +1 1372.841 1348.202 0.0130230565 11.50 +2 1372.877 1168.947 0.0277506757 11.50 +5 1372.87 1227.544 0.0153101274 11.50 +6 1372.865 1241.619 0.0404833299 11.50 +1 1260.786 1240.345 0.0205060967 12.60 +2 1260.81 1079.351 0.0208542562 12.60 +5 1260.818 1132.02 0.028213472 12.60 +6 1260.78 1144.803 0.0285324377 12.60 +1 1260.747 1240.295 0.0298747385 12.60 +2 1260.795 1079.332 0.026030751 12.60 +5 1260.758 1132.059 0.0265875911 12.60 +6 1260.719 1144.848 0.0671386625 12.60 +1 1260.771 1240.262 0.0196875595 12.60 +2 1260.741 1079.358 0.0248917657 12.60 +5 1260.723 1132.011 0.0194653538 12.60 +6 1260.765 1144.863 0.0275336158 12.60 +1 1159.833 1142.937 0.0167361883 13.80 +2 1159.816 998.248 0.0188573593 13.80 +5 1159.786 1045.658 0.0232723011 13.80 +6 1159.81 1057.229 0.0298814324 13.80 +1 1159.823 1142.95 0.0170880075 13.80 +2 1159.806 998.207 0.023918612 13.80 +5 1159.769 1045.646 0.0214102779 13.80 +6 1159.717 1057.289 0.0419869027 13.80 +1 1159.776 1142.924 0.0260844781 13.80 +2 1159.799 998.198 0.0221720545 13.80 +5 1159.806 1045.619 0.0280517379 13.80 +6 1159.767 1057.258 0.0431462629 13.80 +1 1069.003 1055.242 0.0234435492 15.10 +2 1069.044 924.842 0.0346352422 15.10 +5 1068.985 967.581 0.0105309069 15.10 +6 1069.016 978.197 0.0195473783 15.10 +1 1069.014 1055.217 0.0269833282 15.10 +2 1068.972 924.838 0.0330393705 15.10 +5 1069.001 967.617 0.0286722863 15.10 +6 1068.963 978.15 0.0357491259 15.10 +1 1069.045 1055.203 0.0340308683 15.10 +2 1069.034 924.828 0.0157353106 15.10 +5 1069.011 967.592 0.0171930218 15.10 +6 1069.017 978.176 0.0304039471 15.10 +1 982.088 971.142 0.028698432 16.60 +2 982.093 854.134 0.0241743666 16.60 +5 982.075 892.587 0.0288807895 16.60 +6 982.091 902.174 0.0754612483 16.60 +1 982.086 971.11 0.018493242 16.60 +2 982.055 854.129 0.0321387616 16.60 +5 982.038 892.577 0.0211210795 16.60 +6 982.033 902.198 0.0252111087 16.60 +1 982.096 971.102 0.0247305479 16.60 +2 982.046 854.14 0.0281780056 16.60 +5 982.041 892.588 0.0146150607 16.60 +6 982.065 902.188 0.0191728975 16.60 +1 904.945 896.52 0.0304959014 18.20 +2 904.941 791.218 0.0157353106 18.20 +5 904.925 825.818 0.0216240607 18.20 +6 904.853 834.502 0.0312665956 18.20 +1 904.945 896.429 0.0291358885 18.20 +2 904.931 791.176 0.0286076913 18.20 +5 904.881 825.826 0.0227244362 18.20 +6 904.903 834.494 0.035922138 18.20 +1 904.915 896.414 0.0270628897 18.20 +2 904.89 791.182 0.0232292919 18.20 +5 904.858 825.754 0.0151129084 18.20 +6 904.828 834.529 0.0847755861 18.20 +1 836.048 829.809 0.0332701067 19.90 +2 836.068 734.726 0.0231603109 19.90 +5 836.076 766.038 0.0295228725 19.90 +6 836.08 773.985 0.0245051015 19.90 +1 836.091 829.831 0.0300482945 19.90 +2 836.069 734.705 0.0200624026 19.90 +5 836.013 766.004 0.0216887067 19.90 +6 836.003 773.988 0.0219909072 19.90 +1 836.05 829.785 0.0214126131 19.90 +2 836.059 734.709 0.0199724811 19.90 +5 836.043 766.09 0.023194827 19.90 +6 836.01 773.905 0.0212720474 19.90 +1 771.2 767.023 0.0261553054 21.80 +2 771.21 681.357 0.0198015151 21.80 +5 771.171 709.56 0.0301993377 21.80 +6 771.148 716.799 0.0358733885 21.80 +1 771.143 767.01 0.0173781472 21.80 +2 771.137 681.322 0.0255264569 21.80 +5 771.135 709.536 0.0352193129 21.80 +6 771.169 716.796 0.0342403271 21.80 +1 771.157 767.041 0.0248374717 21.80 +2 771.11 681.304 0.0224588513 21.80 +5 771.129 709.57 0.0270554985 21.80 +6 771.132 716.743 0.0288461436 21.80 +1 710.819 708.67 0.0204450483 23.90 +2 710.836 631.495 0.0280446073 23.90 +5 710.799 656.908 0.0291135707 23.90 +6 710.786 663.473 0.0265725422 23.90 +1 710.816 708.682 0.00822192192 23.90 +2 710.868 631.451 0.0330892732 23.90 +5 710.816 656.893 0.028567464 23.90 +6 710.8 663.536 0.0122637678 23.90 +1 710.773 708.559 0.0190499344 23.90 +2 710.777 631.469 0.0177454219 23.90 +5 710.804 656.899 0.0272194783 23.90 +6 710.805 663.517 0.028567464 23.90 +1 655.099 654.73 0.0213541565 26.20 +2 655.097 585.353 0.0205450724 26.20 +5 655.077 608.192 0.0116447413 26.20 +6 655.063 614.234 0.0268029849 26.20 +1 655.078 654.739 0.0260940606 26.20 +2 655.057 585.3 0.0235796522 26.20 +5 655.036 608.187 0.0298345437 26.20 +6 655.05 614.203 0.015559563 26.20 +1 655.045 654.761 0.0270351623 26.20 +2 655.007 585.224 0.0229869528 26.20 +5 655.022 608.148 0.0249319073 26.20 +6 655.01 614.213 0.0161895028 26.20 +1 602.063 603.451 0.0216540989 28.80 +2 602.03 541.163 0.0247810411 28.80 +5 602.028 561.769 0.0181356003 28.80 +6 602.035 567.137 0.0274244417 28.80 +1 602.07 603.425 0.0173349358 28.80 +2 602.035 541.157 0.0176663522 28.80 +5 602.011 561.733 0.0231969826 28.80 +6 602.021 567.207 0.0237086482 28.80 +1 601.993 603.478 0.0201395134 28.80 +2 601.998 541.14 0.0278208555 28.80 +5 602.025 561.773 0.0151690474 28.80 +6 602.03 567.164 0.0198595065 28.80 +1 555.52 558.519 0.0192067696 31.50 +2 555.57 502.2088 0.00925289144 31.50 +5 555.583 520.892 0.0151525575 31.50 +6 555.496 525.823 0.0272415124 31.50 +1 555.467 558.492 0.0203371581 31.50 +2 555.527 502.1826 0.0122737117 31.50 +5 555.484 520.925 0.0306349474 31.50 +6 555.438 525.845 0.0301744925 31.50 +1 555.481 558.483 0.0157511904 31.50 +2 555.514 502.1657 0.0111148999 31.50 +5 555.538 520.866 0.0166853229 31.50 +6 555.462 525.815 0.031344856 31.50 +1 510.368 514.918 0.0212508823 34.60 +2 510.414 464.3792 0.00793574193 34.60 +5 510.42 481.0319 0.00844564977 34.60 +6 510.416 485.5985 0.0111903977 34.60 +1 510.37 514.834 0.0307310917 34.60 +2 510.422 464.3442 0.00968173538 34.60 +5 510.419 481.0136 0.0120923116 34.60 +6 510.397 485.5497 0.0115767439 34.60 +1 510.342 514.874 0.0179555005 34.60 +2 510.341 464.3353 0.0126554731 34.60 +5 510.369 481.0181 0.0107781724 34.60 +6 510.388 485.5571 0.0123080868 34.60 +1 469.6544 475.5659 0.00688396688 37.90 +2 469.6494 430.2647 0.00546635162 37.90 +5 469.6493 445.2473 0.00688047963 37.90 +6 469.6413 449.3794 0.00851610239 37.90 +1 469.6229 475.5631 0.0057609895 37.90 +2 469.6241 430.245 0.00258843582 37.90 +5 469.6298 445.2302 0.0064386334 37.90 +6 469.6276 449.384 0.00823893197 37.90 +1 469.6094 475.5448 0.00868999425 37.90 +2 469.6231 430.2312 0.00583917802 37.90 +5 469.6167 445.244 0.00707530918 37.90 +6 469.6133 449.3715 0.00666370768 37.90 +1 431.2671 438.453 0.00319687347 41.60 +2 431.257 397.8462 0.00396938282 41.60 +5 431.2313 411.2895 0.00624219513 41.60 +6 431.2328 415.0474 0.00753551591 41.60 +1 431.2185 438.4377 0.00574986956 41.60 +2 431.2294 397.8219 0.00687524545 41.60 +5 431.2259 411.2833 0.00994188111 41.60 +6 431.2222 415.0213 0.0120855699 41.60 +1 431.2179 438.4271 0.00774525661 41.60 +2 431.2329 397.8188 0.00744150522 41.60 +5 431.2159 411.2428 0.00745627253 41.60 +6 431.2064 415.0083 0.00296327522 41.60 +1 396.2664 404.6087 0.00420725564 45.60 +2 396.2429 368.1677 0.00523459645 45.60 +5 396.2459 380.2141 0.00598406217 45.60 +6 396.2402 383.6309 0.00893470761 45.60 +1 396.2207 404.577 0.0077961529 45.60 +2 396.2148 368.1431 0.00896710656 45.60 +5 396.2087 380.1992 0.00638874009 45.60 +6 396.2058 383.6048 0.00648814303 45.60 +1 396.2143 404.5682 0.00628458431 45.60 +2 396.2029 368.1242 0.00499159293 45.60 +5 396.1967 380.1781 0.00748124321 45.60 +6 396.1904 383.5866 0.00945748381 45.60 +1 363.8565 373.2176 0.00636584637 50.00 +2 363.8332 340.5531 0.00808510977 50.00 +5 363.8051 351.3331 0.00981982688 50.00 +6 363.7957 354.4116 0.0103799807 50.00 +1 363.7651 373.1311 0.00776974903 50.00 +2 363.7615 340.4671 0.00550536102 50.00 +5 363.7541 351.2846 0.00880249964 50.00 +6 363.7548 354.3871 0.0101827796 50.00 +1 363.7511 373.1089 0.00610974631 50.00 +2 363.7671 340.4584 0.00669357901 50.00 +5 363.7519 351.2903 0.00774086558 50.00 +6 363.7379 354.3651 0.00612935559 50.00 +1 334.299 344.5192 0.00635578477 54.80 +2 334.2181 315.1691 0.00970613208 54.80 +5 334.1646 324.8138 0.00598965775 54.80 +6 334.1219 327.5779 0.00787711876 54.80 +1 334.0607 344.2955 0.00689818817 54.80 +2 334.0146 315.0036 0.0081733714 54.80 +5 333.9688 324.6639 0.00595726447 54.80 +6 333.9456 327.4346 0.00667712513 54.80 +1 333.9289 344.1573 0.00783077263 54.80 +2 333.9104 314.9015 0.00901249133 54.80 +5 333.8907 324.5702 0.00940616819 54.80 +6 333.8651 327.3483 0.00565340605 54.80 +1 307.1319 318.0716 0.00865702027 60.10 +2 307.0091 291.7239 0.00953671851 60.10 +5 306.9169 300.3242 0.00902308151 60.10 +6 306.8167 302.7991 0.0041843757 60.10 +1 306.7067 317.6879 0.007621614 60.10 +2 306.6491 291.4065 0.0070501773 60.10 +5 306.5737 300.0395 0.00816976132 60.10 +6 306.5294 302.538 0.00472228758 60.10 +1 306.4724 317.4411 0.00584542556 60.10 +2 306.4276 291.236 0.00562672196 60.10 +5 306.3953 299.8725 0.00517542269 60.10 +6 306.3693 302.3719 0.00702773079 60.10 +1 281.873 293.4605 0.00834056353 65.90 +2 281.75 269.8351 0.00735995924 65.90 +5 281.6304 277.5077 0.00863255466 65.90 +6 281.5248 279.7465 0.00753690918 65.90 +1 281.3996 292.9969 0.0109767482 65.90 +2 281.3386 269.4871 0.00655202259 65.90 +5 281.2732 277.1776 0.00494813096 65.90 +6 281.2182 279.4437 0.00639382515 65.90 +1 281.1559 292.7474 0.00725837447 65.90 +2 281.1026 269.2768 0.00714534814 65.90 +5 281.052 276.9836 0.00540592268 65.90 +6 281.0124 279.2771 0.00739790511 65.90 +1 258.2033 270.2945 0.00448385994 72.30 +2 258.0985 249.2077 0.00440238572 72.30 +5 258.0041 256.0598 0.00734411329 72.30 +6 257.9153 258.0786 0.00958144039 72.30 +1 257.8164 269.8916 0.00610933712 72.30 +2 257.7352 248.9068 0.00816921049 72.30 +5 257.6698 255.7566 0.00369648482 72.30 +6 257.6183 257.7896 0.00456771278 72.30 +1 257.5323 269.6381 0.0081245923 72.30 +2 257.4883 248.6691 0.00842312294 72.30 +5 257.45 255.5519 0.00427656404 72.30 +6 257.4063 257.6169 0.00600907647 72.30 +1 236.8268 249.2663 0.0115603201 79.20 +2 236.7177 230.4199 0.00728210135 79.20 +5 236.6326 236.5069 0.00673713589 79.20 +6 236.5404 238.342 0.00881249113 79.20 +1 236.4214 248.882 0.0105071404 79.20 +2 236.3489 230.0885 0.00656086884 79.20 +5 236.2721 236.2163 0.00839767825 79.20 +6 236.2141 238.0723 0.00510695604 79.20 +1 236.1576 248.6031 0.00676084314 79.20 +2 236.106 229.886 0.00628490254 79.20 +5 236.0552 236.0071 0.004572636 79.20 +6 236.014 237.8745 0.00745955763 79.20 +1 216.6661 229.3751 0.0090779403 86.90 +2 216.5631 212.582 0.00688186021 86.90 +5 216.4676 217.9972 0.00915073768 86.90 +6 216.3926 219.6494 0.00875351358 86.90 +1 216.2907 229.0202 0.005330666 86.90 +2 216.2214 212.258 0.0066887966 86.90 +5 216.169 217.7213 0.00667690048 86.90 +6 216.1082 219.3951 0.00742489057 86.90 +1 216.0362 228.7564 0.00675899401 86.90 +2 215.984 212.048 0.0094095696 86.90 +5 215.9464 217.5138 0.0073304843 86.90 +6 215.9198 219.196 0.0108480413 86.90 +1 198.2979 211.1522 0.00614459112 95.30 +2 198.1998 196.1687 0.00751671471 95.30 +5 198.1005 201.0015 0.00794889929 95.30 +6 198.0083 202.4632 0.00813609243 95.30 +1 197.9153 210.7757 0.010988221 95.30 +2 197.8439 195.8676 0.00728038461 95.30 +5 197.7723 200.6906 0.00918607642 95.30 +6 197.7138 202.21 0.00858603517 95.30 +1 197.6441 210.5117 0.00824141978 95.30 +2 197.6002 195.648 0.0061951594 95.30 +5 197.5643 200.4848 0.00891941702 95.30 +6 197.5242 202.0315 0.00335931541 95.30 +1 182.0585 194.9639 0.00654744225 104.00 +2 181.9719 181.5972 0.00835440004 104.00 +5 181.8916 185.8696 0.00590796073 104.00 +6 181.8229 187.2449 0.00717000697 104.00 +1 181.719 194.6347 0.00783843097 104.00 +2 181.6728 181.3006 0.00616311609 104.00 +5 181.6095 185.6047 0.0069123802 104.00 +6 181.5481 186.9941 0.0064100702 104.00 +1 181.3967 194.3276 0.0068457286 104.00 +2 181.3475 181.0312 0.00557279104 104.00 +5 181.3101 185.32 0.00629285309 104.00 +6 181.2838 186.7313 0.00694413422 104.00 +1 164.9817 177.8689 0.00422953898 115.00 +2 164.8939 166.0805 0.00482752525 115.00 +5 164.8139 169.8299 0.00370526652 115.00 +6 164.738 171.0643 0.00546635162 115.00 +1 164.6751 177.5509 0.0085877238 115.00 +2 164.6176 165.8239 0.00641163006 115.00 +5 164.5502 169.5821 0.00599074286 115.00 +6 164.5023 170.7941 0.009009384 115.00 +1 164.4238 177.3161 0.00726147368 115.00 +2 164.3764 165.6319 0.00842549702 115.00 +5 164.3372 169.3809 0.0047674941 115.00 +6 164.3107 170.6536 0.0103780538 115.00 +1 150.6177 163.4592 0.0154620827 126.00 +2 150.5396 152.9489 0.00369174755 126.00 +5 150.4748 156.2549 0.00328466132 126.00 +6 150.4107 157.3618 0.00311704989 126.00 +1 150.3253 163.161 0.0062976186 126.00 +2 150.269 152.7037 0.00302671439 126.00 +5 150.227 156.0202 0.00185903201 126.00 +6 150.1797 157.1447 0.00261553054 126.00 +1 150.1203 162.9579 0.00636780967 126.00 +2 150.0833 152.527 0.00186547581 126.00 +5 150.0506 155.8476 0.00212696968 126.00 +6 150.0143 156.9786 0.00151789328 126.00 +1 137.483 150.0857 0.00436359943 138.00 +2 137.4127 140.8272 0.00253298243 138.00 +5 137.3465 143.739 0.00326802693 138.00 +6 137.2846 144.7292 0.00371160343 138.00 +1 137.2127 149.8149 0.00323558341 138.00 +2 137.1622 140.5905 0.00330832284 138.00 +5 137.1182 143.5159 0.00318888695 138.00 +6 137.0771 144.5234 0.00334723767 138.00 +1 137.0173 149.6183 0.00337357377 138.00 +2 136.9873 140.4283 0.00353284588 138.00 +5 136.951 143.3542 0.00274517759 138.00 +6 136.9207 144.3739 0.00268123106 138.00 +1 125.441 137.8098 0.00354062141 151.00 +2 125.3792 129.6093 0.00318763235 151.00 +5 125.3239 132.1746 0.00415980769 151.00 +6 125.2718 133.0708 0.00382047118 151.00 +1 125.2074 137.5743 0.00316243577 151.00 +2 125.1652 129.4075 0.00217830209 151.00 +5 125.126 131.9848 0.00261457454 151.00 +6 125.0889 132.8946 0.00236727692 151.00 +1 125.0382 137.3985 0.00153785565 151.00 +2 125.009 129.2662 0.00253298243 151.00 +5 124.9796 131.8497 0.00246190983 151.00 +6 124.9542 132.7703 0.00273879536 151.00 +1 113.8998 125.974 0.00277488739 166.00 +2 113.8476 118.7589 0.00356496844 166.00 +5 113.7903 121.0023 0.00304647337 166.00 +6 113.7418 121.8041 0.00299816611 166.00 +1 113.6849 125.7506 0.00373148764 166.00 +2 113.6396 118.5655 0.00243413229 166.00 +5 113.6038 120.8244 0.00206494552 166.00 +6 113.5688 121.6317 0.00284973683 166.00 +1 113.5238 125.594 0.0029563491 166.00 +2 113.5023 118.4343 0.00363331804 166.00 +5 113.472 120.6983 0.00204963411 166.00 +6 113.447 121.5189 0.00218380402 166.00 +1 103.5858 115.3336 0.00352193129 182.00 +2 103.539 108.9825 0.00290946731 182.00 +5 103.494 110.9483 0.00368252631 182.00 +6 103.4526 111.6678 0.00329180801 182.00 +1 103.4033 115.1438 0.00164195006 182.00 +2 103.3707 108.8172 0.002252998 182.00 +5 103.3376 110.7963 0.00254184972 182.00 +6 103.3065 111.5216 0.00205523721 182.00 +1 103.273 115.0083 0.00394474334 182.00 +2 103.2453 108.7016 0.002079423 182.00 +5 103.2199 110.6871 0.00297136332 182.00 +6 103.1994 111.4204 0.00171580885 182.00 +1 94.4834 105.8827 0.00328648749 199.00 +2 94.4391 100.2681 0.00176323566 199.00 +5 94.3979 101.998 0.00268328157 199.00 +6 94.3579 102.635 0.00203469899 199.00 +1 94.3169 105.7086 0.00237991596 199.00 +2 94.2878 100.1191 0.00278010791 199.00 +5 94.2566 101.858 0.00172046505 199.00 +6 94.2274 102.508 0.00174355958 199.00 +1 94.1977 105.5845 0.00245458754 199.00 +2 94.1763 100.0177 0.00231969826 199.00 +5 94.1571 101.7615 0.0023843238 199.00 +6 94.1405 102.4181 0.0022997826 199.00 +1 86.0211 97.0457 0.00356665109 218.00 +2 85.9813 92.1022 0.00275245345 218.00 +5 85.944 93.6183 0.00149030198 218.00 +6 85.9029 94.1844 0.00374753252 218.00 +1 85.8726 96.881 0.00264952826 218.00 +2 85.8433 91.9584 0.00322242145 218.00 +5 85.806 93.4832 0.00213915871 218.00 +6 85.776 94.0559 0.0020709901 218.00 +1 85.7526 96.7583 0.00138600144 218.00 +2 85.731 91.8564 0.00259306768 218.00 +5 85.7135 93.3893 0.00231969826 218.00 +6 85.7004 93.9753 0.00169735088 218.00 +1 78.2113 88.8371 0.00375086657 239.00 +2 78.1803 84.5006 0.00251077677 239.00 +5 78.1483 85.8254 0.00161987654 239.00 +6 78.1152 86.327 0.00353270435 239.00 +1 78.083 88.6985 0.0033384128 239.00 +2 78.0566 84.3855 0.0018124569 239.00 +5 78.0296 85.7203 0.00246190983 239.00 +6 78.0117 86.2287 0.00262316603 239.00 +1 77.995 88.6047 0.0010397115 239.00 +2 77.9798 84.3071 0.0022020445 239.00 +5 77.9662 85.6477 0.00221382023 239.00 +6 77.9503 86.1611 0.00210451895 239.00 +1 71.189 81.4104 0.00228122774 262.00 +2 71.1582 77.6093 0.00362505172 262.00 +5 71.1292 78.7597 0.00251017928 262.00 +6 71.1009 79.2009 0.00359569187 262.00 +1 71.0666 81.2867 0.00110498869 262.00 +2 71.0524 77.5059 0.00217922004 262.00 +5 71.0357 78.6686 0.00239248824 262.00 +6 71.0163 79.1125 0.00168077363 262.00 +1 70.9993 81.2142 0.00264121184 262.00 +2 70.9879 77.4384 0.00150465943 262.00 +5 70.9788 78.6148 0.00252111087 262.00 +6 70.9687 79.0648 0.00228823076 262.00 +1 64.6916 74.5067 0.00312425991 288.00 +2 64.6639 71.1839 0.00339249171 288.00 +5 64.6396 72.181 0.00266458252 288.00 +6 64.6187 72.563 0.0024 288.00 +1 64.5894 74.3944 0.00222351074 288.00 +2 64.5682 71.0881 0.00199724811 288.00 +5 64.5516 72.0896 0.00173896521 288.00 +6 64.5376 72.4881 0.00276568256 288.00 +1 64.5236 74.3218 0.00238662942 288.00 +2 64.5112 71.0209 0.00324792241 288.00 +5 64.5021 72.0406 0.00182866071 288.00 +6 64.4916 72.4388 0.00261839646 288.00 +1 61.6901 71.292 0.00287749891 302.00 +2 61.6637 68.1873 0.00291221565 302.00 +5 61.64 69.1138 0.00197888858 302.00 +6 61.6185 69.4857 0.00297338191 302.00 +1 61.5926 71.1884 0.00134313067 302.00 +2 61.5754 68.0977 0.00218654979 302.00 +5 61.5559 69.0394 0.00214102779 302.00 +6 61.5431 69.4089 0.00241018671 302.00 +1 61.5336 71.1242 0.00291135707 302.00 +2 61.5225 68.0423 0.00189235303 302.00 +5 61.5103 68.9937 0.00174384632 302.00 +6 61.5053 69.3651 0.00107191418 302.00 +1 60.0486 69.5317 0.00209308385 310.00 +2 60.0323 66.5512 0.00218082553 310.00 +5 60.0153 67.4528 0.00270850512 310.00 +6 59.9991 67.8103 0.00336764012 310.00 +1 59.9833 69.4622 0.00271219468 310.00 +2 59.9716 66.4963 0.00208350666 310.00 +5 59.9582 67.4009 0.00162141913 310.00 +6 59.9499 67.7561 0.00179694185 310.00 +1 59.9368 69.4129 0.00259403161 310.00 +2 59.9269 66.4512 0.0017595454 310.00 +5 59.921 67.3614 0.00305679571 310.00 +6 59.9127 67.7205 0.00255049015 310.00 diff --git a/calib_data/_calib_data/calib_2024-11-05.txt b/calib_data/_calib_data/calib_2024-11-05.txt new file mode 100644 index 0000000..0c254cd --- /dev/null +++ b/calib_data/_calib_data/calib_2024-11-05.txt @@ -0,0 +1,560 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 30025.93 21644.83 0.604160575 1.38 +2 30010.42 43743.5 0.91476773 1.38 +4 29995.18 27941.64 0.585354593 1.38 +1 29973.28 21611.38 0.682905557 1.38 +2 29960.35 43670.74 0.732147526 1.38 +4 29947.88 27900.37 0.753000664 1.38 +1 29928.66 21581.55 0.562716625 1.38 +2 29914.92 43599.66 0.713750657 1.38 +4 29900.69 27858.44 0.489530387 1.38 +1 29820.11 21510.91 0.467856816 1.42 +2 29811.25 43448.42 0.560142839 1.42 +4 29804.12 27774.86 0.294346734 1.42 +1 29793.34 21492.87 0.367437069 1.42 +2 29787.31 43407.94 0.320062494 1.42 +4 29781.73 27754.92 0.299933326 1.42 +1 29769.92 21478.86 0.294006803 1.42 +2 29764.35 43376.53 0.489908155 1.42 +4 29758.54 27734.05 0.461573396 1.42 +1 26798.32 19520.59 0.169970586 1.51 +2 26798.83 38847.85 0.509165985 1.51 +4 26798.18 25106.79 0.329681665 1.51 +1 26796.04 19519.24 0.0695701085 1.51 +2 26797.7 38846.19 0.449099098 1.51 +4 26798.39 25107.8 0.206397674 1.51 +1 26796.87 19519.1 0.175499288 1.51 +2 26798.56 38848.36 0.900244411 1.51 +4 26798 25105.54 0.0981835017 1.51 +1 21543.45 16005.45 0.632653144 1.66 +2 21547.17 30885.54 2.12650888 1.66 +4 21544.98 20399.6 0.804238771 1.66 +1 21547.21 16012.38 0.950873283 1.66 +2 21548.24 30897.55 3.15918502 1.66 +4 21547.97 20403.22 1.43239659 1.66 +1 21538.17 16007.35 1.53370467 1.66 +2 21531.6 30895.32 2.30602689 1.66 +4 21497.29 20303.5 39.5687276 1.66 +1 17471.86 13249.78 0.481414582 1.82 +2 17471.95 24849.04 0.883764675 1.82 +4 17472.31 16745.24 0.567661871 1.82 +1 17473.47 13251.75 0.43617657 1.82 +2 17474 24853.08 1.06525114 1.82 +4 17474.46 16747.21 0.417480538 1.82 +1 17474.77 13251.31 0.420107129 1.82 +2 17473.07 24854.06 0.751425312 1.82 +4 17472.14 16745.76 0.568014084 1.82 +1 14493.93 11170.02 2.23731089 1.99 +2 14492.69 20416.76 5.76022916 1.99 +4 14496.36 14017.14 1.94875345 1.99 +1 14494.54 11170.39 2.59146484 1.99 +2 14492.36 20416.52 5.694327 1.99 +4 14491.3 14011.88 2.46316057 1.99 +1 14491.21 11171.03 3.32412545 1.99 +2 14491.84 20415.95 3.26506508 1.99 +4 14492.14 14011.05 2.37601557 1.99 +1 12077.75 9459.09 0.50208565 2.18 +2 12077.29 16859.14 1.03404062 2.18 +4 12077.34 11775.98 0.668101789 2.18 +1 12077.32 9458.91 0.550354431 2.18 +2 12076.62 16858.15 1.22867815 2.18 +4 12075.81 11776.41 0.687088058 2.18 +1 12076.9 9457.68 0.913761457 2.18 +2 12077.29 16858.45 1.22884092 2.18 +4 12077.14 11776.43 0.617098047 2.18 +1 10152.99 8072.99 0.240187427 2.39 +2 10154.29 14048.69 0.387414507 2.39 +4 10154.13 9981.7 0.2310844 2.39 +1 10152.8 8073.01 0.331798131 2.39 +2 10153.21 14047.75 0.879005119 2.39 +4 10153.64 9983.03 0.305303128 2.39 +1 10153.67 8072.99 0.171143215 2.39 +2 10153.99 14049.46 0.354739341 2.39 +4 10153.8 9982.2 0.365786823 2.39 +1 8613.67 6946.72 0.20189106 2.62 +2 8613.94 11825.59 0.538785672 2.62 +4 8613.93 8533.59 0.289637705 2.62 +1 8613.82 6946.86 0.256203044 2.62 +2 8614.06 11826.06 0.690680824 2.62 +4 8614.85 8533.72 0.317111968 2.62 +1 8614.13 6946.43 0.284622557 2.62 +2 8614.26 11826.24 0.63375074 2.62 +4 8614.04 8534.1 0.411825206 2.62 +1 7341.07 6000.22 0.247305479 2.88 +2 7341.3 10000.15 0.190394328 2.88 +4 7341.24 7325.31 0.172307864 2.88 +1 7340.55 6000.25 0.215058132 2.88 +2 7340.71 10000.73 0.273879536 2.88 +4 7340.75 7325.41 0.147275253 2.88 +1 7340.77 6000.67 0.226737734 2.88 +2 7341.32 9999.48 0.44649748 2.88 +4 7341.57 7324.56 0.262373779 2.88 +1 6358.98 5258.48 0.212037732 3.15 +2 6358.91 8601.37 0.325898757 3.15 +4 6359.2 6383.69 0.223807953 3.15 +1 6358.43 5259.12 0.117303026 3.15 +2 6359.11 8601.94 0.290929545 3.15 +4 6359.19 6383.78 0.264499527 3.15 +1 6358.38 5258.77 0.175527776 3.15 +2 6358.83 8601.76 0.33081717 3.15 +4 6359.56 6384.26 0.275753513 3.15 +1 5511.73 4608.923 0.084273958 3.46 +2 5511.92 7401.95 0.0886002257 3.46 +4 5511.54 5565.92 0.0485798312 3.46 +1 5511.92 4608.901 0.09351417 3.46 +2 5512.1 7402.11 0.0876926451 3.46 +4 5511.53 5565.76 0.0532916504 3.46 +1 5511.9 4609.039 0.0820542503 3.46 +2 5512.2 7402.22 0.0946572765 3.46 +4 5511.66 5565.74 0.0814861951 3.46 +1 4824.847 4078.147 0.0487042093 3.79 +2 4824.843 6440 0.0916515139 3.79 +4 4825.138 4898.836 0.0305352256 3.79 +1 4825.041 4078.205 0.0286792608 3.79 +2 4824.85 6439.85 0.122678441 3.79 +4 4824.97 4898.896 0.0604847088 3.79 +1 4825.039 4078.37 0.0347850543 3.79 +2 4824.926 6439.95 0.173349358 3.79 +4 4824.937 4898.843 0.0649930766 3.79 +1 4238.265 3616.722 0.0266758318 4.16 +2 4238.205 5618.42 0.0797496081 4.16 +4 4238.223 4323.189 0.0241847059 4.16 +1 4238.226 3616.7 0.0389871774 4.16 +2 4238.106 5618.69 0.119540788 4.16 +4 4238.263 4323.134 0.0646869384 4.16 +1 4238.429 3616.626 0.0103150376 4.16 +2 4238.334 5618.56 0.16074825 4.16 +4 4238.194 4323.195 0.0625819463 4.16 +1 3750.405 3228.207 0.0175527776 4.56 +2 3750.668 4937.938 0.0790670601 4.56 +4 3750.757 3841.054 0.0183956517 4.56 +1 3750.493 3228.153 0.0431520567 4.56 +2 3750.696 4937.881 0.0544876133 4.56 +4 3750.751 3841.142 0.029387072 4.56 +1 3750.444 3228.159 0.0275118156 4.56 +2 3750.487 4938.086 0.0502035855 4.56 +4 3750.618 3841.347 0.0305303128 4.56 +1 3336.112 2894.11 0.0349571166 5.00 +2 3336.14 4364.047 0.064172424 5.00 +4 3336.177 3428.705 0.035531676 5.00 +1 3336.1 2894.191 0.0245132617 5.00 +2 3336.063 4363.999 0.0891229488 5.00 +4 3336.214 3428.722 0.0313304963 5.00 +1 3336.157 2894.177 0.0313384748 5.00 +2 3336.145 4364.114 0.0468230712 5.00 +4 3336.148 3428.833 0.0283919003 5.00 +1 2982.224 2605.789 0.0223807953 5.48 +2 2982.292 3876.312 0.0435844009 5.48 +4 2982.32 3074.285 0.0514635794 5.48 +1 2982.287 2605.744 0.0211754575 5.48 +2 2982.46 3876.103 0.0348439378 5.48 +4 2982.459 3074.321 0.0198217053 5.48 +1 2982.181 2605.821 0.0366456 5.48 +2 2982.226 3876.329 0.0417480538 5.48 +4 2982.316 3074.234 0.0414777049 5.48 +1 2675.836 2353.485 0.0362008287 6.01 +2 2675.955 3455.968 0.0736586723 6.01 +4 2675.967 2765.539 0.0425781634 6.01 +1 2675.922 2353.454 0.0251475645 6.01 +2 2675.985 3455.835 0.0461139892 6.01 +4 2675.972 2765.523 0.0441372858 6.01 +1 2675.885 2353.513 0.0215429803 6.01 +2 2675.93 3455.888 0.0298596718 6.01 +4 2675.989 2765.553 0.0444983146 6.01 +1 2411.715 2133.55 0.0143527001 6.59 +2 2411.783 3094.888 0.0628140112 6.59 +4 2411.788 2497.49 0.00948683298 6.59 +1 2411.564 2133.693 0.0262697545 6.59 +2 2411.587 3095.037 0.0490316224 6.59 +4 2411.699 2497.488 0.0174241212 6.59 +1 2411.684 2133.554 0.0169233566 6.59 +2 2411.632 3095.059 0.0397102002 6.59 +4 2411.62 2497.73 0.0266082694 6.59 +1 2179.86 1939.095 0.0199624648 7.23 +2 2180.01 2779.726 0.0253061257 7.23 +4 2179.996 2261.376 0.00493963561 7.23 +1 2179.904 1939.043 0.0279660508 7.23 +2 2179.967 2779.711 0.0351695891 7.23 +4 2179.887 2261.567 0.0167361883 7.23 +1 2179.703 1939.085 0.0182345825 7.23 +2 2179.807 2779.937 0.0557503363 7.23 +4 2179.869 2261.325 0.00681909085 7.23 +1 1979.852 1769.678 0.026030751 7.92 +2 1980.019 2509.395 0.0265047166 7.92 +4 1980.04 2056.857 0.0148357676 7.92 +1 1979.972 1769.788 0.0117303026 7.92 +2 1980.025 2509.387 0.0279302703 7.92 +4 1980.042 2056.853 0.0216356188 7.92 +1 1979.989 1769.79 0.00824621125 7.92 +2 1979.96 2509.373 0.014216188 7.92 +4 1979.944 2056.743 0.0197002538 7.92 +1 1802.673 1618.501 0.012525973 8.69 +2 1802.671 2270.668 0.0226627448 8.69 +4 1802.642 1874.515 0.0141598023 8.69 +1 1802.635 1618.435 0.0110679718 8.69 +2 1802.679 2270.554 0.0240914923 8.69 +4 1802.651 1874.516 0.00981835017 8.69 +1 1802.647 1618.492 0.012149074 8.69 +2 1802.722 2270.677 0.0218197159 8.69 +4 1802.733 1874.626 0.0132060592 8.69 +1 1644.566 1482.174 0.0198595065 9.53 +2 1644.572 2058.638 0.017538529 9.53 +4 1644.455 1711.36 0.0134164079 9.53 +1 1644.677 1482.186 0.0445466048 9.53 +2 1644.862 2059.013 0.0183874958 9.53 +4 1644.75 1711.676 0.00789936706 9.53 +1 1644.663 1482.299 0.0204670467 9.53 +2 1644.578 2058.604 0.0122637678 9.53 +4 1644.449 1711.358 0.0137695316 9.53 +1 1510.223 1366.433 0.00693541635 10.40 +2 1510.182 1880.309 0.0442594623 10.40 +4 1510.204 1572.516 0.0219180291 10.40 +1 1510.262 1366.449 0.0059076222 10.40 +2 1510.231 1880.404 0.0412359067 10.40 +4 1510.251 1572.56 0.0133416641 10.40 +1 1510.241 1366.441 0.00780384521 10.40 +2 1510.165 1880.297 0.0385499676 10.40 +4 1510.201 1572.544 0.0149799866 10.40 +1 1372.584 1246.724 0.00603324125 11.50 +2 1372.54 1697.89 0.0397240481 11.50 +4 1372.522 1429.78 0.00721110255 11.50 +1 1372.562 1246.643 0.00600832755 11.50 +2 1372.534 1697.944 0.0405512022 11.50 +4 1372.544 1429.791 0.00899444273 11.50 +1 1372.582 1246.708 0.00442718872 11.50 +2 1372.517 1697.89 0.0533291665 11.50 +4 1372.532 1429.763 0.00917060521 11.50 +1 1260.576 1148.772 0.00394968353 12.60 +2 1260.578 1549.958 0.0131757353 12.60 +4 1260.616 1313.529 0.0138888444 12.60 +1 1260.56 1148.804 0.00428952212 12.60 +2 1260.639 1550.062 0.0152184099 12.60 +4 1260.654 1313.559 0.00767463354 12.60 +1 1260.58 1148.758 0.00340587727 12.60 +2 1260.577 1549.991 0.0145910932 12.60 +4 1260.598 1313.479 0.0088825672 12.60 +1 1159.679 1060.275 0.00533853913 13.80 +2 1159.73 1418.091 0.0135977939 13.80 +4 1159.75 1208.666 0.00709929574 13.80 +1 1159.707 1060.291 0.00457165178 13.80 +2 1159.721 1418.058 0.0129460419 13.80 +4 1159.757 1208.694 0.0132815662 13.80 +1 1159.728 1060.303 0.00470106371 13.80 +2 1159.736 1418.061 0.012120231 13.80 +4 1159.733 1208.671 0.0059076222 13.80 +1 1068.955 980.341 0.003591657 15.10 +2 1068.966 1300.255 0.0168077363 15.10 +4 1069.005 1114.313 0.0122515305 15.10 +1 1068.973 980.329 0.00457165178 15.10 +2 1069.013 1300.228 0.012149074 15.10 +4 1068.988 1114.283 0.00548634669 15.10 +1 1068.975 980.329 0.0033015148 15.10 +2 1068.982 1300.23 0.00938083152 15.10 +4 1068.96 1114.315 0.00751664819 15.10 +1 981.947 903.534 0.00404969135 16.60 +2 981.951 1188.079 0.017461386 16.60 +4 981.962 1023.841 0.00727323862 16.60 +1 981.94 903.484 0.0032249031 16.60 +2 981.936 1188.101 0.0138888444 16.60 +4 981.981 1023.849 0.0107191418 16.60 +1 981.978 903.497 0.00600832755 16.60 +2 981.971 1188.081 0.00963846461 16.60 +4 981.951 1023.89 0.00916515139 16.60 +1 904.734 835.127 0.00664078309 18.20 +2 904.741 1089.308 0.00660302961 18.20 +4 904.72 943.657 0.00566568619 18.20 +1 904.701 835.13 0.00489897949 18.20 +2 904.709 1089.299 0.0103392456 18.20 +4 904.71 943.663 0.00678969808 18.20 +1 904.69 835.129 0.0059076222 18.20 +2 904.719 1089.307 0.00906090503 18.20 +4 904.708 943.632 0.00613188389 18.20 +1 835.783 774.011 0.00830060239 19.90 +2 835.81 1001.809 0.0135240526 19.90 +4 835.834 872.153 0.0076223356 19.90 +1 835.777 773.977 0.00284604989 19.90 +2 835.796 1001.804 0.00603324125 19.90 +4 835.797 872.168 0.00846167832 19.90 +1 835.763 774.008 0.00419523539 19.90 +2 835.785 1001.824 0.0141562707 19.90 +4 835.788 872.109 0.003591657 19.90 +1 770.855 716.33 0.00509901951 21.80 +2 770.866 920.102 0.0139140217 21.80 +4 770.881 804.884 0.00352136337 21.80 +1 770.864 716.313 0.00448330235 21.80 +2 770.856 920.078 0.00275680975 21.80 +4 770.844 804.873 0.00693541635 21.80 +1 770.82 716.292 0.00704272674 21.80 +2 770.874 920.074 0.00451663592 21.80 +4 770.859 804.901 0.00434741302 21.80 +1 710.532 662.67 0.00509901951 23.90 +2 710.515 844.797 0.00648845128 23.90 +4 710.528 742.496 0.00404969135 23.90 +1 710.522 662.673 0.00470106371 23.90 +2 710.533 844.783 0.00490917508 23.90 +4 710.519 742.504 0.00961249187 23.90 +1 710.52 662.674 0.00603324125 23.90 +2 710.521 844.746 0.0066633325 23.90 +4 710.507 742.511 0.00573585216 23.90 +1 654.781 613.046 0.00404969135 26.20 +2 654.805 775.802 0.00784856675 26.20 +4 654.808 685.003 0.00448330235 26.20 +1 654.78 613.034 0.00493963561 26.20 +2 654.782 775.81 0.00938083152 26.20 +4 654.797 684.99 0.00447213595 26.20 +1 654.777 613.015 0.0040620192 26.20 +2 654.777 775.787 0.00735527022 26.20 +4 654.776 684.986 0.0066633325 26.20 +1 601.812 565.814 0.00451663592 28.80 +2 601.814 710.769 0.00767463354 28.80 +4 601.819 630.453 0.00448330235 28.80 +1 601.804 565.815 0.00430116263 28.80 +2 601.814 710.762 0.00525357021 28.80 +4 601.814 630.441 0.00411096096 28.80 +1 601.809 565.798 0.00419523539 28.80 +2 601.816 710.775 0.00587367006 28.80 +4 601.808 630.434 0.00379473319 28.80 +1 555.283 524.292 0.00394968353 31.50 +2 555.285 654.112 0.00689927532 31.50 +4 555.288 582.624 0.00252982213 31.50 +1 555.273 524.286 0.00252982213 31.50 +2 555.281 654.1 0.00734846923 31.50 +4 555.285 582.626 0.00379473319 31.50 +1 555.265 524.282 0.00236643191 31.50 +2 555.272 654.091 0.00411096096 31.50 +4 555.278 582.624 0.00352136337 31.50 +1 510.188 483.7859 0.00761636396 34.60 +2 510.191 599.562 0.00562138773 34.60 +4 510.142 536.313 0.00284604989 34.60 +1 510.169 483.7752 0.00788010152 34.60 +2 510.18 599.554 0.00352136337 34.60 +4 510.135 536.301 0.00298328678 34.60 +1 510.166 483.7714 0.00908757393 34.60 +2 510.176 599.545 0.00452769257 34.60 +4 510.13 536.294 0.00289827535 34.60 +1 469.4319 447.508 0.00218632111 37.90 +2 469.4216 550.96 0.0112249722 37.90 +4 469.4219 494.6109 0.00374819957 37.90 +1 469.4262 447.4995 0.00223271136 37.90 +2 469.4091 550.953 0.0134201341 37.90 +4 469.4069 494.5944 0.00419332803 37.90 +1 469.4167 447.4901 0.00220658107 37.90 +2 469.403 550.941 0.0143143285 37.90 +4 469.3987 494.5884 0.00328694387 37.90 +1 431.0711 413.0986 0.00161369142 41.60 +2 431.0525 505.207 0.0127318498 41.60 +4 431.0507 455.3478 0.00304893424 41.60 +1 431.05 413.0816 0.00205036582 41.60 +2 431.0364 505.197 0.011140018 41.60 +4 431.038 455.3352 0.00329484446 41.60 +1 431.0445 413.0742 0.00179332094 41.60 +2 431.0329 505.198 0.0114717043 41.60 +4 431.0335 455.3289 0.00426720049 41.60 +1 396.1022 381.6616 0.00137258879 45.60 +2 396.0923 463.5746 0.00338289817 45.60 +4 396.0866 419.5831 0.00232142198 45.60 +1 396.0706 381.6339 0.00228232338 45.60 +2 396.072 463.5509 0.00374285987 45.60 +4 396.0689 419.5677 0.00211210795 45.60 +1 396.0553 381.6189 0.00188917972 45.60 +2 396.058 463.5364 0.0035247695 45.60 +4 396.0573 419.5547 0.00256534598 45.60 +1 363.6915 352.4441 0.00179136819 50.00 +2 363.6749 425.3798 0.00261074702 50.00 +4 363.6612 386.4387 0.00151690474 50.00 +1 363.6426 352.4015 0.000886002257 50.00 +2 363.6428 425.338 0.00324037035 50.00 +4 363.64 386.4142 0.00251316533 50.00 +1 363.6262 352.3863 0.00145636534 50.00 +2 363.6282 425.3264 0.00397290825 50.00 +4 363.6273 386.4022 0.00243228288 50.00 +1 333.9582 325.5539 0.00230412673 54.80 +2 333.924 390.4894 0.00200599103 54.80 +4 333.8941 355.9988 0.00164195006 54.80 +1 333.8587 325.4625 0.00117686023 54.80 +2 333.847 390.4039 0.00203690942 54.80 +4 333.8397 355.944 0.00204450483 54.80 +1 333.8265 325.4362 0.00101784085 54.80 +2 333.8277 390.3791 0.00312873776 54.80 +4 333.8262 355.9268 0.0020189106 54.80 +1 306.4728 300.5998 0.0029387072 60.10 +2 306.4122 358.3489 0.00215615398 60.10 +4 306.359 327.8147 0.00118363846 60.10 +1 306.2846 300.4374 0.002079423 60.10 +2 306.2631 358.1806 0.00197585425 60.10 +4 306.2364 327.6911 0.00188917972 60.10 +1 306.194 300.3565 0.000919238816 60.10 +2 306.1909 358.0978 0.00223964283 60.10 +4 306.1804 327.6332 0.00155434874 60.10 +1 281.0538 277.4225 0.00349356551 65.90 +2 280.9827 328.7453 0.00242507732 65.90 +4 280.9206 301.7493 0.00203002463 65.90 +1 280.8507 277.2372 0.00264499527 65.90 +2 280.8164 328.5533 0.00152348285 65.90 +4 280.7861 301.6091 0.00126846364 65.90 +1 280.7474 277.1458 0.00183193886 65.90 +2 280.7306 328.4561 0.00120374416 65.90 +4 280.7148 301.5411 0.00118701306 65.90 +1 257.439 255.7868 0.0025051946 72.30 +2 257.3704 301.3308 0.00192249837 72.30 +4 257.311 277.5113 0.00184418003 72.30 +1 257.2403 255.6039 0.00161523992 72.30 +2 257.2037 301.138 0.00180554701 72.30 +4 257.1713 277.3667 0.00172075565 72.30 +1 257.1267 255.5023 0.00129653384 72.30 +2 257.1074 301.028 0.00138564065 72.30 +4 257.0894 277.284 0.00104880885 72.30 +1 236.0546 236.089 0.00288790582 79.20 +2 235.9818 276.5472 0.00283125414 79.20 +4 235.917 255.4966 0.00285026315 79.20 +1 235.837 235.8941 0.00156492811 79.20 +2 235.8006 276.337 0.00148996644 79.20 +4 235.7643 255.3406 0.00170997076 79.20 +1 235.7207 235.7793 0.00162511538 79.20 +2 235.6979 276.2175 0.00118532696 79.20 +4 235.6751 255.2487 0.00102029408 79.20 +1 215.9315 217.4444 0.00288513431 86.90 +2 215.8627 253.2665 0.0030273751 86.90 +4 215.8006 234.7421 0.00202212759 86.90 +1 215.729 217.258 0.00164924225 86.90 +2 215.6891 253.0691 0.00184634775 86.90 +4 215.653 234.5879 0.00131491445 86.90 +1 215.6053 217.1456 0.00114192819 86.90 +2 215.5809 252.9424 0.00105071404 86.90 +4 215.5594 234.4905 0.00124298029 86.90 +1 197.5044 200.2677 0.00298010067 95.30 +2 197.437 231.9714 0.003228622 95.30 +4 197.3766 215.6724 0.00260076912 95.30 +1 197.3041 200.0808 0.00240333102 95.30 +2 197.2616 231.7706 0.00185580171 95.30 +4 197.225 215.5166 0.000940212742 95.30 +1 197.1796 199.9636 0.0014366628 95.30 +2 197.154 231.6459 0.00143840189 95.30 +4 197.1299 215.4203 0.00137149553 95.30 +1 181.3249 185.0878 0.00313623979 104.00 +2 181.2583 213.2868 0.00233580821 104.00 +4 181.1996 198.876 0.00247790234 104.00 +1 181.13 184.9062 0.00248112878 104.00 +2 181.0888 213.0911 0.00172887246 104.00 +4 181.0515 198.7241 0.00163981706 104.00 +1 181.0061 184.7905 0.00154434452 104.00 +2 180.9806 212.9676 0.00123450395 104.00 +4 180.9576 198.6246 0.00107888832 104.00 +1 164.2046 168.9138 0.00276694778 115.00 +2 164.1458 193.524 0.00219089023 115.00 +4 164.0893 181.0447 0.00238348484 115.00 +1 164.0262 168.7466 0.00156971335 115.00 +2 163.9878 193.3434 0.0014366628 115.00 +4 163.9527 180.9045 0.00180138835 115.00 +1 163.9071 168.6403 0.00129653384 115.00 +2 163.8875 193.2252 0.00154142791 115.00 +4 163.8645 180.8128 0.00127906216 115.00 +1 149.8864 155.2994 0.00208422648 126.00 +2 149.8283 177.0525 0.00693000722 126.00 +4 149.7735 166.1283 0.00564101055 126.00 +1 149.7276 155.149 0.00126491106 126.00 +2 149.6889 176.8914 0.00599699925 126.00 +4 149.6512 165.9978 0.00506912221 126.00 +1 149.6235 155.0488 0.000846167832 126.00 +2 149.5972 176.787 0.00563382641 126.00 +4 149.5707 165.9128 0.00443576374 126.00 +1 136.8093 142.7678 0.00193804025 138.00 +2 136.7531 161.9442 0.00629094587 138.00 +4 136.7058 152.3537 0.00159405144 138.00 +1 136.6551 142.6196 0.00126649122 138.00 +2 136.6158 161.7864 0.00584841859 138.00 +4 136.5844 152.2285 0.000874642784 138.00 +1 136.5531 142.5218 0.000745654075 138.00 +2 136.5263 161.6802 0.0051260121 138.00 +4 136.5048 152.1444 0.000789936706 138.00 +1 124.8485 131.2252 0.001713476 151.00 +2 124.8036 148.0859 0.00191023559 151.00 +4 124.7627 139.7575 0.00158902486 151.00 +1 124.7153 131.096 0.00128062485 151.00 +2 124.6863 147.9495 0.000930053762 151.00 +4 124.6597 139.6478 0.000880908622 151.00 +1 124.6269 131.0111 0.000842021377 151.00 +2 124.6086 147.8591 0.000780384521 151.00 +4 124.5908 139.5768 0.000660302961 151.00 +1 113.3616 120.0591 0.00175755512 166.00 +2 113.3176 134.8048 0.00151525575 166.00 +4 113.2779 127.5956 0.00163217646 166.00 +1 113.2319 119.9324 0.000961249187 166.00 +2 113.2036 134.672 0.00116619038 166.00 +4 113.1773 127.4895 0.000696419414 166.00 +1 113.1454 119.8481 0.000740945342 166.00 +2 113.1271 134.5835 0.000696419414 166.00 +4 113.1101 127.4178 0.00064498062 166.00 +1 103.1222 110.0317 0.00173810241 182.00 +2 103.0844 122.9774 0.00147105404 182.00 +4 103.049 116.7191 0.00103392456 182.00 +1 103.0082 109.9197 0.000938616002 182.00 +2 102.9834 122.861 0.000734846923 182.00 +4 102.9603 116.625 0.000860232527 182.00 +1 102.9326 109.845 0.0006 182.00 +2 102.9165 122.7836 0.000493963561 182.00 +4 102.9017 116.5622 0.000772010363 182.00 +1 94.0455 101.0804 0.00146424042 199.00 +2 94.012 112.5692 0.00146833239 199.00 +4 93.9819 107.0382 0.00108443534 199.00 +1 93.947 100.9826 0.000907744457 199.00 +2 93.9263 112.4711 0.000478539445 199.00 +4 93.9071 106.959 0.00064807407 199.00 +1 93.8843 100.9211 0.000411096096 199.00 +2 93.8715 112.4082 0.000419523539 199.00 +4 93.8593 106.9089 0.000498998998 199.00 +1 85.6353 92.7272 0.00157353106 218.00 +2 85.6031 102.7027 0.00124939986 218.00 +4 85.5738 98.0249 0.000963846461 218.00 +1 85.5402 92.6317 0.000825227241 218.00 +2 85.5203 102.6045 0.000827647268 218.00 +4 85.5024 97.9491 0.000830060239 218.00 +1 85.4802 92.5719 0.000623698645 218.00 +2 85.4676 102.5413 0.000246981781 218.00 +4 85.4558 97.8989 0.000498998998 218.00 +1 77.938 85.0304 0.0014366628 239.00 +2 77.9078 93.6951 0.00138166566 239.00 +4 77.8804 89.7426 0.00123450395 239.00 +1 77.8485 84.9398 0.000689927532 239.00 +2 77.8291 93.6035 0.000636396103 239.00 +4 77.8116 89.6698 0.00064498062 239.00 +1 77.791 84.8824 0.000451663592 239.00 +2 77.7794 93.5468 0.000525357021 239.00 +4 77.7692 89.6242 0.000464758002 239.00 +1 70.9744 78.0162 0.00122311079 262.00 +2 70.9468 85.575 0.0012083046 262.00 +4 70.9219 82.2205 0.000827647268 262.00 +1 70.8924 77.9331 0.000713442359 262.00 +2 70.8748 85.4921 0.000740945342 262.00 +4 70.8589 82.1527 0.000693541635 262.00 +1 70.8399 77.88 0.000244948974 262.00 +2 70.8299 85.4399 0.000498998998 262.00 +4 70.8201 82.1113 0.000735527022 262.00 +1 64.5258 71.4761 0.00108120303 288.00 +2 64.5025 78.039 0.00107703296 288.00 +4 64.4806 75.2281 0.00088825672 288.00 +1 64.4541 71.4031 0.000793095202 288.00 +2 64.4383 77.9637 0.000530094331 288.00 +4 64.4235 75.1662 0.000525357021 288.00 +1 64.4034 71.352 0.000424264069 288.00 +2 64.3953 77.9129 0.000670074623 288.00 +4 64.3854 75.1254 0.000493963561 288.00 +1 61.4869 68.3755 0.000452769257 302.00 +2 61.4723 74.4894 0.000723878443 302.00 +4 61.4595 71.9384 0.000473286383 302.00 +1 61.4436 68.3326 0.000569209979 302.00 +2 61.4348 74.4459 0.000537587202 302.00 +4 61.4264 71.9025 0.000353553391 302.00 +1 61.4151 68.3027 0.000284604989 302.00 +2 61.4097 74.4157 0.000470106371 302.00 +4 61.4037 71.8777 0.000317804972 302.00 +1 59.8775 66.7298 0.000613188389 310.00 +2 59.8676 72.6077 0.000633245608 310.00 +4 59.8585 70.1923 0.000317804972 310.00 +1 59.8488 66.7009 0.000518652099 310.00 +2 59.8442 72.5804 0.000619677335 310.00 +4 59.84 70.1718 0.000562138773 310.00 +1 59.8335 66.6847 0.000530094331 310.00 +2 59.8308 72.5645 0.000514781507 310.00 +4 59.8275 70.1579 0.000434741302 310.00 diff --git a/calib_data/_calib_data/calib_2024-11-08.txt b/calib_data/_calib_data/calib_2024-11-08.txt new file mode 100644 index 0000000..337a804 --- /dev/null +++ b/calib_data/_calib_data/calib_2024-11-08.txt @@ -0,0 +1,560 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 30475.3 24469.51 1.29022866 1.38 +2 30473.4 31712.55 4.69651467 1.38 +4 30468.68 27008.48 1.3224069 1.38 +1 30466.96 24433.91 7.41059309 1.38 +2 30459.19 31713.09 1.10629562 1.38 +4 30456.46 26994.63 1.8912985 1.38 +1 30477.45 24465.6 1.32181693 1.38 +2 30492.26 31741.41 1.63434696 1.38 +4 30507.1 27035.86 0.666663333 1.38 +1 30521.55 24505.24 1.39163214 1.42 +2 30518.32 31773.89 2.54937051 1.42 +4 30519.02 27048.82 1.73998851 1.42 +1 30512.79 24494.52 1.1441853 1.42 +2 30509.78 31762.34 0.847844325 1.42 +4 30504.05 27037.92 1.42518771 1.42 +1 30495.09 24490.1 1.01380471 1.42 +2 30494.33 31748.48 1.25162295 1.42 +4 30494.4 27032.51 0.970097933 1.42 +1 26927.77 21801.44 1.36030879 1.51 +2 26930.71 28071.38 1.56906341 1.51 +4 26930.92 24074.78 1.33062391 1.51 +1 26926.86 21805.68 1.54504369 1.51 +2 26922.51 28070.43 1.58953138 1.51 +4 26920.5 24073.6 1.62609963 1.51 +1 26924.4 21805.91 1.43641568 1.51 +2 26924.9 28068.22 1.67486119 1.51 +4 26928.86 24073.52 1.77441821 1.51 +1 21626.76 17775.41 1.24398151 1.66 +2 21626.89 22588.94 1.80262031 1.66 +4 21629.29 19635.14 2.94904052 1.66 +1 21626.69 17777.01 2.20156535 1.66 +2 21624.1 22594.72 0.982527353 1.66 +4 21625.8 19624.72 2.2396339 1.66 +1 21640.13 17765.5 2.20997738 1.66 +2 21645.29 22598.64 1.35817525 1.66 +4 21638.21 19636.27 1.85094841 1.66 +1 17687.78 14707.47 0.868107136 1.82 +2 17678.09 18489.03 1.75254387 1.82 +4 17661.05 16240.79 1.89665231 1.82 +1 17673.16 14725.41 1.1839299 1.82 +2 17676.91 18486.56 2.10129484 1.82 +4 17670.2 16274.59 1.88983862 1.82 +1 17681.39 14710.34 0.630111101 1.82 +2 17686.06 18500.68 1.83121817 1.82 +4 17681.79 16285.99 3.23006037 1.82 +1 14657.14 12352.87 1.42007394 1.99 +2 14659.68 15367.61 1.2700748 1.99 +4 14677.4 13659.47 1.54032789 1.99 +1 14674.11 12383.69 2.47800121 1.99 +2 14669.85 15391.27 3.41350406 1.99 +4 14666.72 13668.69 1.52489016 1.99 +1 14661.71 12372.66 2.4856468 1.99 +2 14668.63 15376.66 1.11276233 1.99 +4 14668.98 13667.73 1.11229942 1.99 +1 12252.09 10443.23 2.11012085 2.18 +2 12231.18 12835.78 0.730999316 2.18 +4 12232.8 11529.28 1.94421192 2.18 +1 12256.03 10439.84 1.88760165 2.18 +2 12240.9 12844.58 2.52098393 2.18 +4 12232.84 11525.15 1.15293105 2.18 +1 12234.27 10440.06 2.55081164 2.18 +2 12239.48 12852.59 2.2444799 2.18 +4 12244.58 11527.3 0.644049688 2.18 +1 10157.14 8760.51 0.52980185 2.39 +2 10157.23 10672.67 0.461746684 2.39 +4 10157.66 9685.46 0.450821472 2.39 +1 10157.43 8760.3 0.527825729 2.39 +2 10156.5 10671.97 0.465413794 2.39 +4 10155.89 9684.4 0.300998339 2.39 +1 10155.92 8758.76 0.488917171 2.39 +2 10155.11 10670.91 0.308366665 2.39 +4 10155.44 9684.46 0.238830484 2.39 +1 8611.1 7500.01 0.352547869 2.62 +2 8610.64 9055.18 0.31394267 2.62 +4 8610.44 8294.78 0.549326861 2.62 +1 8609.64 7499.65 0.539675829 2.62 +2 8609.4 9055.93 0.253001976 2.62 +4 8609.94 8293.35 0.645639218 2.62 +1 8608.4 7499.77 0.288461436 2.62 +2 8608.53 9055.14 0.38709172 2.62 +4 8609.02 8291.81 0.412662089 2.62 +1 7333.56 6446.08 0.396434105 2.88 +2 7334.15 7717.41 0.402355564 2.88 +4 7334.32 7132.3 0.483735465 2.88 +1 7332.06 6445.95 0.349928564 2.88 +2 7332.56 7716.4 0.502195181 2.88 +4 7332.42 7130.39 0.501487786 2.88 +1 7332.14 6445.68 0.485345238 2.88 +2 7333.05 7717.35 0.569078202 2.88 +4 7332.93 7132.44 0.554472723 2.88 +1 6350.36 5624.82 0.417803782 3.15 +2 6349.71 6683.68 0.467504011 3.15 +4 6351.03 6225.73 0.317505905 3.15 +1 6352.1 5625.51 0.558650159 3.15 +2 6349.98 6684.22 0.319937494 3.15 +4 6350.41 6225.91 0.329378202 3.15 +1 6349.81 5625.08 0.547868597 3.15 +2 6349.54 6682.98 0.463422054 3.15 +4 6350.02 6224.92 0.210142809 3.15 +1 5504 4910.203 0.192759176 3.46 +2 5503.21 5792.88 0.500759423 3.46 +4 5502.24 5437.29 0.492838716 3.46 +1 5503.33 4909.811 0.130195622 3.46 +2 5503.31 5792.37 0.459575891 3.46 +4 5502.5 5436.24 0.335916656 3.46 +1 5503.53 4909.842 0.116084452 3.46 +2 5502.94 5791.15 0.429010489 3.46 +4 5502.52 5436.69 0.420107129 3.46 +1 4818.453 4328.614 0.105187452 3.79 +2 4817.983 5072.36 0.433405122 3.79 +4 4818.157 4792.586 0.133769952 3.79 +1 4819.022 4328.889 0.127267042 3.79 +2 4818.456 5071.89 0.284059853 3.79 +4 4818.563 4793.049 0.155791206 3.79 +1 4818.525 4328.686 0.128710528 3.79 +2 4818.15 5072.2 0.235796522 3.79 +4 4818.323 4792.623 0.137113457 3.79 +1 4232.833 3825.288 0.182897786 4.16 +2 4232.828 4451.383 0.189968682 4.16 +4 4232.793 4235.713 0.138679847 4.16 +1 4232.418 3824.921 0.155508521 4.16 +2 4232.307 4451.239 0.152344675 4.16 +4 4232.635 4235.887 0.0992678196 4.16 +1 4232.509 3824.935 0.156283396 4.16 +2 4232.874 4451.23 0.143331783 4.16 +4 4232.932 4235.608 0.114366079 4.16 +1 3745.711 3402.322 0.138324257 4.56 +2 3745.537 3935.529 0.115103866 4.56 +4 3745.449 3768.218 0.142715101 4.56 +1 3745.657 3402.165 0.101658743 4.56 +2 3745.461 3935.563 0.115603201 4.56 +4 3745.233 3768.374 0.130139925 4.56 +1 3745.391 3402.265 0.0988964105 4.56 +2 3745.554 3935.596 0.117899958 4.56 +4 3745.201 3768.2 0.193463175 4.56 +1 3331.894 3040.496 0.118500633 5.00 +2 3331.641 3497.141 0.111404219 5.00 +4 3331.809 3367.708 0.167175357 5.00 +1 3331.776 3040.49 0.137847742 5.00 +2 3332.096 3496.969 0.144799517 5.00 +4 3332.489 3367.897 0.159681245 5.00 +1 3332.395 3040.282 0.0683637331 5.00 +2 3332.319 3497.574 0.120782449 5.00 +4 3332.425 3368.212 0.118387499 5.00 +1 2979.938 2729.615 0.119668292 5.48 +2 2979.768 3123.148 0.184574104 5.48 +4 2979.561 3023.449 0.1058532 5.48 +1 2979.429 2729.299 0.127251326 5.48 +2 2979.186 3122.772 0.118918459 5.48 +4 2979.252 3023.269 0.106239823 5.48 +1 2979.04 2728.953 0.131545049 5.48 +2 2979.22 3122.954 0.1255245 5.48 +4 2979.443 3022.922 0.0872444841 5.48 +1 2674.97 2459.165 0.190721 6.01 +2 2674.812 2799.646 0.0954064987 6.01 +4 2674.609 2723.365 0.088524008 6.01 +1 2674.399 2459.053 0.151453293 6.01 +2 2674.59 2799.647 0.155087395 6.01 +4 2674.713 2723.385 0.148998322 6.01 +1 2674.543 2458.614 0.0855827085 6.01 +2 2675.011 2799.371 0.144446876 6.01 +4 2674.972 2723.484 0.133380658 6.01 +1 2410.842 2223.014 0.109637585 6.59 +2 2410.658 2518.73 0.133641311 6.59 +4 2410.692 2462.016 0.0677967551 6.59 +1 2411.051 2222.938 0.13918908 6.59 +2 2411.121 2518.471 0.141353811 6.59 +4 2410.995 2461.86 0.128903064 6.59 +1 2410.364 2222.909 0.127125529 6.59 +2 2410.775 2518.598 0.206880642 6.59 +4 2410.869 2462.172 0.130811314 6.59 +1 2178.876 2014.181 0.219460475 7.23 +2 2179.394 2272.062 0.0771336502 7.23 +4 2179.712 2231.086 0.126342392 7.23 +1 2179.69 2014.153 0.0639069636 7.23 +2 2179.692 2272.138 0.169297372 7.23 +4 2179.495 2231.337 0.125698449 7.23 +1 2178.676 2014.566 0.0679882343 7.23 +2 2178.856 2272.001 0.153593294 7.23 +4 2179.089 2231.178 0.122831592 7.23 +1 1979.366 1833.96 0.153205744 7.92 +2 1979.678 2059.578 0.109295929 7.92 +4 1979.427 2030.614 0.0994907031 7.92 +1 1979.604 1833.356 0.154137601 7.92 +2 1979.524 2059.56 0.159160297 7.92 +4 1979.537 2030.604 0.0694435022 7.92 +1 1979.537 1833.648 0.180802655 7.92 +2 1979.434 2059.618 0.145181266 7.92 +4 1979.585 2030.566 0.0949968421 7.92 +1 1802.099 1672.423 0.138304374 8.69 +2 1802.592 1871.202 0.102720981 8.69 +4 1802.627 1851.369 0.0891566038 8.69 +1 1802.573 1672.454 0.0851140411 8.69 +2 1802.495 1871.278 0.074602949 8.69 +4 1802.466 1851.347 0.150459629 8.69 +1 1802.565 1672.681 0.107865194 8.69 +2 1802.44 1871.409 0.17314416 8.69 +4 1802.581 1852.072 0.118412837 8.69 +1 1644.491 1527.687 0.0507158752 9.53 +2 1644.311 1703.08 0.155280392 9.53 +4 1644.243 1691.174 0.123856368 9.53 +1 1644.521 1527.532 0.0554941438 9.53 +2 1644.342 1703.392 0.124786217 9.53 +4 1644.357 1691.222 0.0972399095 9.53 +1 1644.392 1527.566 0.0596690875 9.53 +2 1644.419 1703.497 0.143297244 9.53 +4 1644.296 1691.49 0.125713961 9.53 +1 1509.949 1405.046 0.0498838651 10.40 +2 1510.003 1560.424 0.0289551377 10.40 +4 1510.057 1554.705 0.0437549997 10.40 +1 1510.004 1405.011 0.0385084406 10.40 +2 1510.115 1560.233 0.0373911754 10.40 +4 1510.065 1554.561 0.0416040863 10.40 +1 1510.048 1405.024 0.0474172964 10.40 +2 1510.015 1560.458 0.0589202851 10.40 +4 1510.009 1554.519 0.0583000858 10.40 +1 1372.17 1278.411 0.0415559863 11.50 +2 1372.241 1414.298 0.0421141306 11.50 +4 1372.288 1414.055 0.0354189215 11.50 +1 1372.335 1278.464 0.0443215523 11.50 +2 1372.237 1414.507 0.0320327957 11.50 +4 1372.329 1414.034 0.0363097783 11.50 +1 1372.259 1278.375 0.0338008876 11.50 +2 1372.209 1414.269 0.0489581454 11.50 +4 1372.28 1413.955 0.0416713331 11.50 +1 1260.169 1175.258 0.0492503807 12.60 +2 1260.226 1295.753 0.0467129532 12.60 +4 1260.23 1299.109 0.0353680647 12.60 +1 1260.17 1175.2 0.0262678511 12.60 +2 1260.171 1295.673 0.0464338239 12.60 +4 1260.215 1299.221 0.0372411063 12.60 +1 1260.099 1175.263 0.0506171908 12.60 +2 1260.219 1295.789 0.0506645833 12.60 +4 1260.324 1299.193 0.0367980978 12.60 +1 1159.343 1082.194 0.0366387773 13.80 +2 1159.35 1189.407 0.0298345437 13.80 +4 1159.409 1195.879 0.0405080239 13.80 +1 1159.452 1082.14 0.0399749922 13.80 +2 1159.366 1189.313 0.0437732795 13.80 +4 1159.413 1195.847 0.0370148619 13.80 +1 1159.355 1082.136 0.0189314553 13.80 +2 1159.378 1189.339 0.0528857259 13.80 +4 1159.406 1195.836 0.0372880678 13.80 +1 1068.609 998.47 0.0349571166 15.10 +2 1068.648 1093.997 0.0520586208 15.10 +4 1068.607 1102.725 0.0557539236 15.10 +1 1068.802 998.318 0.0393903541 15.10 +2 1068.619 1093.911 0.0454411708 15.10 +4 1068.638 1102.717 0.0379486495 15.10 +1 1068.74 998.423 0.0487042093 15.10 +2 1068.776 1093.957 0.0470754713 15.10 +4 1068.754 1102.816 0.0397290825 15.10 +1 981.671 918.082 0.0321496501 16.60 +2 981.781 1002.799 0.0426485639 16.60 +4 981.775 1013.458 0.041080409 16.60 +1 981.807 917.999 0.0476959118 16.60 +2 981.747 1002.876 0.0595012605 16.60 +4 981.809 1013.511 0.056079408 16.60 +1 981.709 918.041 0.0612935559 16.60 +2 981.691 1002.829 0.0581283064 16.60 +4 981.658 1013.393 0.027204779 16.60 +1 904.614 846.853 0.0519047204 18.20 +2 904.629 922.351 0.0412177146 18.20 +4 904.534 934.219 0.0548169682 18.20 +1 904.615 846.668 0.0390589298 18.20 +2 904.497 922.319 0.058351521 18.20 +4 904.564 934.159 0.0399111513 18.20 +1 904.664 846.812 0.0452061943 18.20 +2 904.584 922.24 0.0594138031 18.20 +4 904.53 934.247 0.0315927207 18.20 +1 835.703 783.295 0.0322567822 19.90 +2 835.715 850.769 0.0484654516 19.90 +4 835.742 863.628 0.0592418771 19.90 +1 835.556 783.194 0.0412601503 19.90 +2 835.696 850.819 0.0384304567 19.90 +4 835.734 863.456 0.0280784615 19.90 +1 835.692 783.343 0.0495792295 19.90 +2 835.616 850.866 0.0404771541 19.90 +4 835.639 863.499 0.0559365712 19.90 +1 770.841 723.494 0.0427597942 21.80 +2 770.821 783.715 0.0290258505 21.80 +4 770.783 797.061 0.0452205705 21.80 +1 770.717 723.44 0.0416173041 21.80 +2 770.805 783.616 0.0354739341 21.80 +4 770.816 797.045 0.0320390387 21.80 +1 770.808 723.545 0.0395284708 21.80 +2 770.856 783.616 0.0462428373 21.80 +4 770.926 797.07 0.0404722127 21.80 +1 710.456 667.935 0.0263153947 23.90 +2 710.502 721.662 0.028733256 23.90 +4 710.543 735.194 0.0517918913 23.90 +1 710.476 667.967 0.0460662566 23.90 +2 710.436 721.635 0.0342125708 23.90 +4 710.471 735.321 0.0385084406 23.90 +1 710.654 668.001 0.0432539016 23.90 +2 710.514 721.639 0.0601739146 23.90 +4 710.473 735.312 0.0481414582 23.90 +1 654.683 616.72 0.0375765885 26.20 +2 654.637 664.618 0.0508487955 26.20 +4 654.701 678.364 0.0589610041 26.20 +1 654.909 616.695 0.031344856 26.20 +2 654.698 664.648 0.0429138672 26.20 +4 654.607 678.449 0.054597619 26.20 +1 654.651 616.781 0.0493852205 26.20 +2 654.751 664.6 0.0429185275 26.20 +4 654.81 678.49 0.0442718872 26.20 +1 601.793 568.088 0.0399449621 28.80 +2 601.786 610.685 0.050798622 28.80 +4 601.812 624.33 0.0303315018 28.80 +1 601.641 568.173 0.0569570013 28.80 +2 601.783 610.613 0.0282506637 28.80 +4 601.834 624.364 0.0435935775 28.80 +1 601.66 568.243 0.0397756207 28.80 +2 601.792 610.658 0.0375179957 28.80 +4 601.814 624.335 0.055285622 28.80 +1 555.632 525.769 0.0295448811 31.50 +2 555.497 563.658 0.0365732142 31.50 +4 555.463 577.151 0.036727374 31.50 +1 555.473 525.576 0.0375819105 31.50 +2 555.321 563.446 0.0732966575 31.50 +4 555.385 577.012 0.0424216926 31.50 +1 555.247 525.434 0.0358664188 31.50 +2 555.216 563.567 0.0431752244 31.50 +4 555.196 577.035 0.0260096136 31.50 +1 510.238 484.0643 0.0203420992 34.60 +2 510.25 518.031 0.0475909655 34.60 +4 510.164 531.215 0.0341540627 34.60 +1 510.135 484.0885 0.0100729837 34.60 +2 510.135 518.028 0.0486374341 34.60 +4 510.049 531.074 0.0353043907 34.60 +1 510.147 484.0546 0.0166986227 34.60 +2 510.172 517.913 0.0364431063 34.60 +4 510.114 531.111 0.0402106951 34.60 +1 469.4588 447.0277 0.0115430065 37.90 +2 469.4997 477.1383 0.0142968878 37.90 +4 469.4978 489.8489 0.0129649142 37.90 +1 469.4568 447.0377 0.0102323507 37.90 +2 469.4658 477.1362 0.011171213 37.90 +4 469.4814 489.8403 0.0120324977 37.90 +1 469.4566 447.0047 0.0145162323 37.90 +2 469.4625 477.1045 0.0168263187 37.90 +4 469.4529 489.8329 0.00788600025 37.90 +1 431.1407 411.9777 0.00810067898 41.60 +2 431.1438 438.7402 0.00984256064 41.60 +4 431.1224 450.9467 0.0149906971 41.60 +1 431.0866 411.9648 0.00690478095 41.60 +2 431.1165 438.7504 0.0129376969 41.60 +4 431.122 450.8992 0.0107589962 41.60 +1 431.0485 411.9763 0.01624503 41.60 +2 431.0921 438.7035 0.019735881 41.60 +4 431.1011 450.9182 0.0132565456 41.60 +1 396.116 380.0039 0.0109740148 45.60 +2 396.0898 403.8501 0.0132864216 45.60 +4 396.0907 415.4505 0.0148984899 45.60 +1 396.0886 379.9475 0.00712355248 45.60 +2 396.0717 403.802 0.0201131798 45.60 +4 396.0855 415.4181 0.013247981 45.60 +1 396.0633 379.9235 0.0125293655 45.60 +2 396.0939 403.7677 0.016451778 45.60 +4 396.0887 415.4261 0.0159470687 45.60 +1 363.7421 350.3965 0.0110256519 50.00 +2 363.7201 371.5544 0.0175483333 50.00 +4 363.7057 382.6049 0.0136333782 50.00 +1 363.6239 350.3731 0.0123429737 50.00 +2 363.6567 371.5594 0.019187079 50.00 +4 363.6764 382.6102 0.0142413483 50.00 +1 363.668 350.3184 0.0130385582 50.00 +2 363.6333 371.5357 0.0130284688 50.00 +4 363.6247 382.5998 0.0152864646 50.00 +1 334.2204 323.3919 0.0155970831 54.80 +2 334.1918 342.2561 0.0166616026 54.80 +4 334.1763 352.7113 0.011609522 54.80 +1 334.1517 323.3329 0.0156412595 54.80 +2 334.1386 342.193 0.0116713324 54.80 +4 334.1279 352.6031 0.0208664563 54.80 +1 334.0681 323.271 0.0131954538 54.80 +2 334.0724 342.1144 0.0125133529 54.80 +4 334.0349 352.5461 0.0107586709 54.80 +1 306.2447 297.7668 0.0155472184 60.10 +2 306.2132 314.4955 0.01710687 60.10 +4 306.1848 324.3295 0.0167488806 60.10 +1 306.1544 297.7069 0.0196348924 60.10 +2 306.1398 314.3917 0.0171067531 60.10 +4 306.1287 324.261 0.0120299626 60.10 +1 306.0728 297.6122 0.0199533456 60.10 +2 306.0723 314.3258 0.0196243726 60.10 +4 306.0665 324.16 0.0149445642 60.10 +1 281.516 275.0918 0.00737265217 65.90 +2 281.4873 289.9541 0.0129317052 65.90 +4 281.4672 299.1994 0.0178959213 65.90 +1 281.4303 274.966 0.0160068735 65.90 +2 281.4026 289.8617 0.0167595048 65.90 +4 281.364 299.0558 0.0138251944 65.90 +1 281.3226 274.897 0.0128848749 65.90 +2 281.2729 289.756 0.0131316412 65.90 +4 281.2312 298.9942 0.0147775505 65.90 +1 259.4164 254.7052 0.0105496919 72.30 +2 259.342 267.9777 0.0156237319 72.30 +4 259.2867 276.6401 0.015123128 72.30 +1 259.2293 254.5595 0.00811326075 72.30 +2 259.2135 267.8255 0.0158979558 72.30 +4 259.1575 276.4752 0.0158901227 72.30 +1 259.1132 254.4009 0.00976775307 72.30 +2 259.0544 267.6552 0.0199127095 72.30 +4 259.01 276.3715 0.0131607371 72.30 +1 237.6868 234.6815 0.0143200908 79.20 +2 237.6362 246.4614 0.0164269291 79.20 +4 237.5974 254.5268 0.0183536372 79.20 +1 237.5475 234.5561 0.0118485864 79.20 +2 237.5031 246.3202 0.0101339035 79.20 +4 237.4793 254.3867 0.0167624879 79.20 +1 237.4377 234.4259 0.0160227651 79.20 +2 237.3741 246.206 0.0150983443 79.20 +4 237.3601 254.2111 0.0112396174 79.20 +1 217.5175 215.9005 0.00933300595 86.90 +2 217.455 226.3844 0.00915117479 86.90 +4 217.4338 233.8551 0.0153378291 86.90 +1 217.3224 215.7774 0.00948071727 86.90 +2 217.3244 226.2644 0.0137798403 86.90 +4 217.2832 233.7079 0.0142481227 86.90 +1 217.2117 215.6847 0.00880346523 86.90 +2 217.1834 226.122 0.0193886565 86.90 +4 217.1492 233.586 0.0133259146 86.90 +1 198.9408 198.6714 0.0164263203 95.30 +2 198.905 207.9524 0.014961417 95.30 +4 198.872 214.8621 0.00782617403 95.30 +1 198.8316 198.5685 0.0117696644 95.30 +2 198.7898 207.8088 0.011704529 95.30 +4 198.7604 214.731 0.0163438062 95.30 +1 198.7453 198.4637 0.0197063695 95.30 +2 198.6767 207.7005 0.00931584671 95.30 +4 198.6266 214.6168 0.018019323 95.30 +1 182.7774 183.5067 0.00961462428 104.00 +2 182.705 191.7636 0.0149761143 104.00 +4 182.6478 198.2049 0.0104951894 104.00 +1 182.5951 183.4563 0.0141908774 104.00 +2 182.611 191.6343 0.014067729 104.00 +4 182.5845 198.0695 0.0118019066 104.00 +1 182.5611 183.311 0.0119054609 104.00 +2 182.4847 191.5394 0.0180694217 104.00 +4 182.4674 197.9668 0.011365562 104.00 +1 165.638 167.4403 0.0180709989 115.00 +2 165.6084 174.6262 0.0186299758 115.00 +4 165.5659 180.5083 0.0119983749 115.00 +1 165.5189 167.3428 0.012057197 115.00 +2 165.4987 174.5471 0.00972260253 115.00 +4 165.4611 180.3877 0.0118659597 115.00 +1 165.4276 167.2443 0.0153948368 115.00 +2 165.4123 174.4647 0.0104594933 115.00 +4 165.3981 180.3015 0.00781952684 115.00 +1 151.2383 153.8424 0.00704726897 126.00 +2 151.2082 160.2831 0.0126652675 126.00 +4 151.1647 165.6935 0.0130661777 126.00 +1 151.1284 153.7637 0.00432215224 126.00 +2 151.1115 160.2228 0.0104074973 126.00 +4 151.0842 165.5868 0.0207175288 126.00 +1 151.0447 153.6796 0.00485427647 126.00 +2 151.0221 160.1264 0.0100321483 126.00 +4 150.994 165.4945 0.0176975987 126.00 +1 138.0879 141.352 0.00286705424 138.00 +2 138.0594 146.9938 0.00459739056 138.00 +4 138.0322 151.9207 0.00656361181 138.00 +1 138.001 141.2714 0.00343278313 138.00 +2 137.9776 146.9034 0.00337105325 138.00 +4 137.9518 151.8271 0.00485685083 138.00 +1 137.9126 141.1953 0.00367164813 138.00 +2 137.8985 146.8193 0.0024333105 138.00 +4 137.8773 151.7475 0.00506211418 138.00 +1 126.0819 129.8823 0.00331375919 151.00 +2 126.0585 134.8644 0.00445466048 151.00 +4 126.0305 139.3784 0.00186118242 151.00 +1 125.9977 129.8234 0.00405018518 151.00 +2 125.9667 134.7699 0.00436451601 151.00 +4 125.9506 139.2972 0.0029488981 151.00 +1 125.9266 129.739 0.00358887169 151.00 +2 125.9074 134.7159 0.0058042226 151.00 +4 125.8857 139.2356 0.00501437932 151.00 +1 114.4454 118.7238 0.00343161769 166.00 +2 114.4267 123.0817 0.00523459645 166.00 +4 114.4062 127.2006 0.00419332803 166.00 +1 114.395 118.658 0.00597159945 166.00 +2 114.3714 123.0087 0.00538340041 166.00 +4 114.3504 127.13 0.00337342556 166.00 +1 114.3231 118.59 0.00347850543 166.00 +2 114.3102 122.9462 0.00671833313 166.00 +4 114.2927 127.0615 0.00247891105 166.00 +1 104.1742 108.7824 0.00250279843 182.00 +2 104.1575 112.6204 0.00659272326 182.00 +4 104.1378 116.3753 0.00334678951 182.00 +1 104.1287 108.7248 0.00324899985 182.00 +2 104.1079 112.5573 0.00389628028 182.00 +4 104.0767 116.3053 0.0047498421 182.00 +1 104.0635 108.6674 0.00329302293 182.00 +2 104.0359 112.4963 0.004238042 182.00 +4 104.0221 116.2464 0.00386574702 182.00 +1 95.0294 99.9012 0.00412019417 199.00 +2 95.0123 103.2886 0.00590118632 199.00 +4 94.9909 106.6967 0.0044588115 199.00 +1 94.9648 99.8526 0.00453916292 199.00 +2 94.9539 103.2201 0.00255127419 199.00 +4 94.941 106.6478 0.00354626564 199.00 +1 94.9283 99.7898 0.00514353964 199.00 +2 94.8967 103.165 0.0045033321 199.00 +4 94.8854 106.5901 0.00332400361 199.00 +1 86.4735 91.5415 0.00489744832 218.00 +2 86.4647 94.5139 0.00334499626 218.00 +4 86.4569 97.6401 0.00412904347 218.00 +1 86.4424 91.4945 0.00668917035 218.00 +2 86.4188 94.4545 0.00536516542 218.00 +4 86.3992 97.5893 0.0032095171 218.00 +1 86.3918 91.4575 0.00297405447 218.00 +2 86.3729 94.4158 0.00450732737 218.00 +4 86.3553 97.5437 0.00447448321 218.00 +1 78.6485 83.8333 0.00401011222 239.00 +2 78.6258 86.4343 0.00484159065 239.00 +4 78.611 89.2776 0.00499039077 239.00 +1 78.6118 83.783 0.00323728281 239.00 +2 78.5852 86.3984 0.00335320742 239.00 +4 78.577 89.2282 0.00384915575 239.00 +1 78.5597 83.7557 0.00578973229 239.00 +2 78.5408 86.3492 0.00476822818 239.00 +4 78.5401 89.1884 0.00257371327 239.00 +1 71.565 76.8407 0.00305630496 262.00 +2 71.5547 79.1146 0.00356987395 262.00 +4 71.5439 81.7026 0.00441633332 262.00 +1 71.5217 76.7855 0.00448385994 262.00 +2 71.5168 79.0737 0.00503199762 262.00 +4 71.5157 81.6632 0.00284885942 262.00 +1 71.5027 76.7666 0.00349055869 262.00 +2 71.4814 79.0376 0.00402541923 262.00 +4 71.4794 81.6282 0.00347793042 262.00 +1 65.0222 70.3123 0.00434062208 288.00 +2 65.0098 72.3011 0.00344804292 288.00 +4 65.0039 74.6669 0.00415078306 288.00 +1 64.9844 70.2762 0.00309127805 288.00 +2 64.973 72.2623 0.00266477016 288.00 +4 64.9604 74.6302 0.00479749935 288.00 +1 64.9695 70.2467 0.00357784852 288.00 +2 64.9578 72.2311 0.00431381502 288.00 +4 64.949 74.5971 0.00389987179 288.00 +1 62.0262 67.3123 0.00347001441 302.00 +2 62.0115 69.1692 0.00358273638 302.00 +4 62.0022 71.4216 0.00610933712 302.00 +1 62.0062 67.2732 0.00353496818 302.00 +2 61.9871 69.1411 0.00367545915 302.00 +4 61.9799 71.3885 0.00437092668 302.00 +1 61.9642 67.247 0.00407921561 302.00 +2 61.9449 69.0981 0.00392542991 302.00 +4 61.9345 71.3497 0.00376311042 302.00 +1 60.3754 65.6623 0.00318763235 310.00 +2 60.3625 67.4489 0.00452868634 310.00 +4 60.3493 69.6453 0.00456081133 310.00 +1 60.3464 65.6241 0.0041915391 310.00 +2 60.3404 67.4111 0.004817572 310.00 +4 60.3334 69.613 0.00481040539 310.00 +1 60.3193 65.6077 0.00208830074 310.00 +2 60.3043 67.3873 0.00186037631 310.00 +4 60.3052 69.5877 0.00547366422 310.00 diff --git a/calib_data/_calib_data/calib_2024-12-06.txt b/calib_data/_calib_data/calib_2024-12-06.txt new file mode 100644 index 0000000..e6d73c8 --- /dev/null +++ b/calib_data/_calib_data/calib_2024-12-06.txt @@ -0,0 +1,887 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 18736.18 25480.67 26.8026232 1.62 +2 18715.13 17977.81 10.142864 1.62 +4 18742.71 12637.2 7.83224106 1.62 +5 18760.93 22892.35 25.3596619 1.62 +6 18774.43 19870.37 12.2503963 1.62 +1 18756.78 25568.95 31.7237427 1.62 +2 18727.07 17925.19 5.9200076 1.62 +4 18689.17 12649.98 8.01015356 1.62 +5 18693.9 22929.38 12.836914 1.62 +6 18726.79 19839.99 16.9760976 1.62 +1 1525.868 1786.369 0.100194311 10.00 +2 1524.838 1469.515 0.0476707457 10.00 +4 1523.875 1213.462 0.0507700699 10.00 +5 1522.903 1851.737 0.0452559388 10.00 +6 1521.933 1719.351 0.0578869588 10.00 +1 13556.51 18154.65 1.55719299 1.78 +2 13551.29 13082.95 1.32606561 1.78 +4 13548.22 9439.96 1.32251276 1.78 +5 13544.37 16461.91 0.932893349 1.78 +6 13537.79 14380.83 0.988539326 1.78 +1 13534.1 18122.15 3.78827797 1.78 +2 13529.18 13063.1 0.976012295 1.78 +4 13518.97 9421.98 0.546772348 1.78 +5 13515.21 16433.85 1.45087904 1.78 +6 13511.9 14349.67 0.695133081 1.78 +1 13504.26 18089.98 2.6090918 1.78 +2 13500.53 13037.23 1.22629931 1.78 +4 13493.74 9407.98 0.924099562 1.78 +5 13486.27 16394.25 1.87201763 1.78 +6 13480.66 14319.19 1.7778892 1.78 +1 11257.92 14958.37 1.64079554 1.95 +2 11250.7 10908.58 0.810407305 1.95 +4 11245.48 7970.49 0.545426439 1.95 +5 11239.69 13628.84 0.64283746 1.95 +6 11233.59 11976.28 0.932502011 1.95 +1 11229.08 14918.19 1.78372924 1.95 +2 11222.05 10886.7 0.784984076 1.95 +4 11216.62 7951.59 0.560080351 1.95 +5 11212.26 13596.45 0.823680763 1.95 +6 11206.16 11946.25 0.632653144 1.95 +1 11198.9 14880.05 1.26919266 1.95 +2 11194.76 10860.3 1.02381639 1.95 +4 11191.5 7934.76 0.552304264 1.95 +5 11188.02 13568.83 0.85510818 1.95 +6 11183.14 11923.11 0.691295885 1.95 +1 9484.38 12504.09 1.7455343 2.14 +2 9480.88 9224.12 0.515519156 2.14 +4 9476.49 6817.53 0.538525765 2.14 +5 9473.03 11469.54 1.11491704 2.14 +6 9470.51 10129.64 0.716407705 2.14 +1 9462.91 12474.21 1.45316551 2.14 +2 9459.28 9204.99 0.510578104 2.14 +4 9456.5 6803.89 0.524490229 2.14 +5 9452.64 11442.96 0.742051211 2.14 +6 9448.35 10109.65 0.672346637 2.14 +1 9443.97 12448.96 1.94237998 2.14 +2 9439.58 9187.28 0.411533717 2.14 +4 9436.2 6792.67 0.367437069 2.14 +5 9433.64 11419.3 0.508527285 2.14 +6 9430.21 10092.72 0.737672014 2.14 +1 8066.23 10545.95 2.26888739 2.34 +2 8062.74 7867.97 0.616124987 2.34 +4 8059.87 5877.21 0.412662089 2.34 +5 8057.37 9741.11 0.431381502 2.34 +6 8055.01 8649.11 0.409743822 2.34 +1 8053.45 10532.67 1.61108969 2.34 +2 8053.15 7860.54 0.287471738 2.34 +4 8050.52 5873.13 0.331677554 2.34 +5 8048.7 9732.41 0.323867257 2.34 +6 8047.15 8644.15 0.511517351 2.34 +1 8045.22 10516.72 2.37127814 2.34 +2 8043.56 7850.64 0.558068096 2.34 +4 8040.49 5865 0.442944692 2.34 +5 8038.54 9718.17 0.459575891 2.34 +6 8037.32 8632.7 0.754055701 2.34 +1 6860.92 8898.62 3.63765859 2.57 +2 6859.35 6710.68 0.364910948 2.57 +4 6857.62 5066.63 0.316559631 2.57 +5 6856.24 8283.06 0.52956586 2.57 +6 6855.67 7392.54 0.400549622 2.57 +1 6855.38 8890.97 1.2987725 2.57 +2 6853.95 6705.83 0.538897022 2.57 +4 6852.79 5063.99 0.342476277 2.57 +5 6851.09 8276.29 0.403100484 2.57 +6 6849.52 7385.96 0.537810376 2.57 +1 6848.3 8880.77 0.67335726 2.57 +2 6847.34 6699.41 0.419392418 2.57 +4 6846.16 5058.73 0.488477226 2.57 +5 6845.5 8267.94 0.421710801 2.57 +6 6844.79 7379.55 0.434798804 2.57 +1 5908.44 7605.77 0.861748223 2.82 +2 5907.29 5790.81 0.310950157 2.82 +4 5907.18 4411.876 0.203731195 2.82 +5 5906.73 7131.22 0.353779592 2.82 +6 5905.56 6392.72 0.274881793 2.82 +1 5903.83 7595.98 0.743747269 2.82 +2 5903.48 5786.11 0.295110149 2.82 +4 5902.83 4409.36 0.209437341 2.82 +5 5902.42 7125.21 0.185175592 2.82 +6 5902.58 6388.43 0.213096222 2.82 +1 5901.73 7592.15 2.80614504 2.82 +2 5900.75 5783.01 0.388702971 2.82 +4 5899.81 4407.263 0.196122666 2.82 +5 5899.08 7122.2 0.461735855 2.82 +6 5899.13 6385.43 0.537038174 2.82 +1 5176.63 6611.22 1.55549349 3.09 +2 5176.03 5078.04 0.1877232 3.09 +4 5175.36 3902.14 0.0998398718 3.09 +5 5174.78 6245.74 0.268402683 3.09 +6 5174.02 5621.33 0.251813423 3.09 +1 5173.57 6605.92 2.82459909 3.09 +2 5172.97 5075.06 0.196061215 3.09 +4 5172.56 3900.708 0.115730722 3.09 +5 5172.33 6242.82 0.233152311 3.09 +6 5172.03 5619.7 0.222710575 3.09 +1 5171.9 6604.7 0.546626015 3.09 +2 5171.57 5073.45 0.271753565 3.09 +4 5171.46 3899.808 0.114217337 3.09 +5 5170.81 6241.27 0.201022387 3.09 +6 5170.51 5617.86 0.29906521 3.09 +1 4252.251 5377.106 0.320000625 3.38 +2 4254.844 4186.791 0.220469726 3.38 +4 4257.326 3254.407 0.133244512 3.38 +5 4259.7 5142.087 0.251916851 3.38 +6 4262.153 4656.984 0.197525695 3.38 +1 4264.948 5393.424 0.256246756 3.38 +2 4266.54 4197.724 0.227416798 3.38 +4 4268.443 3262.23 0.147023808 3.38 +5 4270.623 5155.289 0.291298644 3.38 +6 4272.694 4668.276 0.134567455 3.38 +1 4275.113 5408.357 0.505236677 3.38 +2 4277.59 4208.436 0.115639094 3.38 +4 4279.466 3269.974 0.131462542 3.38 +5 4281.823 5168.841 0.273146298 3.38 +6 4284.228 4680.639 0.151614313 3.38 +1 3866.932 4858.837 0.516906278 3.71 +2 3867.33 3802.68 0.0969948452 3.71 +4 3867.688 2973.148 0.0748438374 3.71 +5 3868.311 4670.465 0.0668917035 3.71 +6 3869.077 4240.126 0.08003999 3.71 +1 3870.035 4863.336 0.437571023 3.71 +2 3870.587 3805.57 0.0866833317 3.71 +4 3870.989 2975.458 0.0726057849 3.71 +5 3871.736 4674.46 0.134959253 3.71 +6 3872.439 4243.423 0.0786898977 3.71 +1 3873.155 4867.514 0.230318041 3.71 +2 3873.791 3808.641 0.0572791411 3.71 +4 3874.397 2977.889 0.0870339014 3.71 +5 3875.231 4678.52 0.0749266308 3.71 +6 3876.047 4247.419 0.0931713475 3.71 +1 3503.256 4372.911 0.197638306 4.07 +2 3503.283 3441.593 0.0619846755 4.07 +4 3503.332 2707.689 0.0790246797 4.07 +5 3503.43 4231.293 0.0446329475 4.07 +6 3503.587 3850.817 0.0684112564 4.07 +1 3503.795 4374.201 0.148185357 4.07 +2 3503.966 3442.32 0.0943716059 4.07 +4 3504.14 2708.205 0.0734744854 4.07 +5 3504.557 4232.495 0.0543000921 4.07 +6 3504.78 3852.047 0.0505183135 4.07 +1 3504.802 4375.344 0.14703877 4.07 +2 3504.906 3443.349 0.0810117275 4.07 +4 3505.164 2708.881 0.0765826351 4.07 +5 3505.443 4233.725 0.100451481 4.07 +6 3505.819 3853.236 0.0672041665 4.07 +1 3177.796 3939.663 0.688334294 4.46 +2 3177.364 3118.092 0.0556740514 4.46 +4 3177.165 2467.765 0.0470372193 4.46 +5 3177.104 3838.392 0.108423245 4.46 +6 3176.964 3502.344 0.081316665 4.46 +1 3176.565 3938.975 0.126777364 4.46 +2 3176.583 3117.544 0.0716826339 4.46 +4 3176.572 2467.263 0.0514985437 4.46 +5 3176.449 3837.96 0.0673349835 4.46 +6 3176.456 3502.148 0.0526839634 4.46 +1 3176.563 3938.62 0.13303383 4.46 +2 3176.483 3117.285 0.0702602306 4.46 +4 3176.367 2467.23 0.070639932 4.46 +5 3176.481 3837.769 0.102950959 4.46 +6 3176.744 3502 0.103797881 4.46 +1 2887.321 3555.976 0.523994656 4.89 +2 2886.956 2829.461 0.0540823446 4.89 +4 2886.648 2252.305 0.0846197377 4.89 +5 2886.422 3489.049 0.0593877092 4.89 +6 2886.347 3191.708 0.0864615521 4.89 +1 2886.001 3554.253 0.346185066 4.89 +2 2885.825 2828.505 0.087923262 4.89 +4 2885.749 2251.722 0.0664198765 4.89 +5 2885.691 3488.099 0.0665349532 4.89 +6 2885.396 3191.038 0.0862994786 4.89 +1 2885.492 3553.332 0.67339112 4.89 +2 2885.412 2827.988 0.0741458023 4.89 +4 2885.264 2251.291 0.106409116 4.89 +5 2885.232 3487.449 0.102298094 4.89 +6 2885.15 3190.344 0.0833930453 4.89 +1 2628.482 3215.129 0.181148834 5.36 +2 2628.059 2572.075 0.0911070799 5.36 +4 2627.675 2058.745 0.105425329 5.36 +5 2627.478 3177.862 0.0764957515 5.36 +6 2627.275 2913.868 0.108791544 5.36 +1 2626.946 3213.012 0.170415962 5.36 +2 2626.711 2570.453 0.0900894 5.36 +4 2626.522 2057.878 0.0650046152 5.36 +5 2626.493 3176.62 0.0369323706 5.36 +6 2626.488 2912.873 0.0411594461 5.36 +1 2626.377 3211.951 0.4219276 5.36 +2 2626.177 2569.807 0.0653306972 5.36 +4 2625.906 2057.176 0.0588081627 5.36 +5 2625.736 3175.658 0.0774054262 5.36 +6 2625.609 2912.131 0.0578869588 5.36 +1 2399.263 2914.656 0.0772683635 5.88 +2 2398.907 2343.351 0.0406804621 5.88 +4 2398.585 1885.746 0.0726663609 5.88 +5 2398.275 2902.251 0.0787203913 5.88 +6 2398.024 2667.459 0.0598907338 5.88 +1 2397.681 2912.81 0.145079289 5.88 +2 2397.537 2342.244 0.0554111902 5.88 +4 2397.323 1885.001 0.0610647198 5.88 +5 2397.229 2901.219 0.0855505698 5.88 +6 2397.274 2666.475 0.0574673821 5.88 +1 2396.888 2911.338 0.236278649 5.88 +2 2396.806 2341.269 0.0780954544 5.88 +4 2396.641 1884.384 0.0654400489 5.88 +5 2396.415 2900.313 0.0542411283 5.88 +6 2396.32 2665.706 0.0564127645 5.88 +1 2194.897 2648.008 0.253999213 6.45 +2 2194.381 2139.584 0.0376085097 6.45 +4 2194.11 1730.526 0.0783989796 6.45 +5 2193.976 2656.81 0.0451884941 6.45 +6 2193.699 2447.147 0.0900560936 6.45 +1 2193.285 2646.061 0.289013667 6.45 +2 2193.058 2138.439 0.0671930056 6.45 +4 2192.833 1729.667 0.09587544 6.45 +5 2192.731 2655.389 0.0593034569 6.45 +6 2192.62 2446.049 0.0577659069 6.45 +1 2192.556 2644.987 0.47391993 6.45 +2 2192.382 2137.687 0.0705839925 6.45 +4 2192.169 1729.222 0.0554400577 6.45 +5 2192.014 2654.608 0.0557458519 6.45 +6 2191.865 2445.343 0.0668887135 6.45 +1 2013.557 2412.834 0.13939297 7.07 +2 2013.183 1958.899 0.0865384308 7.07 +4 2012.936 1592.054 0.0667712513 7.07 +5 2012.773 2439.549 0.0987972672 7.07 +6 2012.508 2251.489 0.0571393035 7.07 +1 2012.343 2411.16 0.0839761871 7.07 +2 2012.342 1957.886 0.0502633067 7.07 +4 2012.145 1591.678 0.120944615 7.07 +5 2011.807 2438.48 0.0644670458 7.07 +6 2011.717 2250.834 0.0702595189 7.07 +1 2011.649 2410.311 0.150648266 7.07 +2 2011.603 1957.215 0.0631070519 7.07 +4 2011.637 1591.233 0.05184689 7.07 +5 2011.509 2437.733 0.0599007512 7.07 +6 2011.217 2250.22 0.0781152994 7.07 +1 1849.628 2201.007 0.101951459 7.75 +2 1849.134 1795.234 0.0806994424 7.75 +4 1848.834 1465.514 0.0344441577 7.75 +5 1848.662 2242.407 0.0810438153 7.75 +6 1848.437 2073.769 0.0907022602 7.75 +1 1848.181 2199.458 0.113311959 7.75 +2 1847.998 1794.183 0.0682795723 7.75 +4 1847.983 1464.684 0.0273934299 7.75 +5 1847.845 2241.393 0.0578973229 7.75 +6 1847.594 2073.03 0.0895767827 7.75 +1 1847.476 2198.38 0.0468828327 7.75 +2 1847.469 1793.41 0.0694694177 7.75 +4 1847.401 1464.251 0.0377743299 7.75 +5 1847.23 2240.68 0.0643428318 7.75 +6 1847.012 2072.37 0.0876013699 7.75 +1 1698.803 2007.726 0.123249341 8.50 +2 1698.494 1645.225 0.0619233397 8.50 +4 1698.432 1349.185 0.0263153947 8.50 +5 1698.216 2061.818 0.055942828 8.50 +6 1697.912 1910.593 0.0855809558 8.50 +1 1697.759 2006.121 0.14239698 8.50 +2 1697.521 1644.073 0.0681182795 8.50 +4 1697.413 1348.343 0.034235946 8.50 +5 1697.231 2060.771 0.077607345 8.50 +6 1697.059 1909.776 0.0838594062 8.50 +1 1696.829 2005.268 0.0905295532 8.50 +2 1696.831 1643.417 0.0734853727 8.50 +4 1697.03 1347.957 0.0342943144 8.50 +5 1696.896 2060.146 0.0603191512 8.50 +6 1696.584 1909.175 0.0642066975 8.50 +1 1563.438 1835.643 0.168932235 9.32 +2 1563.172 1510.363 0.0230239006 9.32 +4 1562.981 1244.426 0.0195550505 9.32 +5 1562.75 1900.358 0.112336993 9.32 +6 1562.554 1764.271 0.0754380541 9.32 +1 1562.359 1834.489 0.136267751 9.32 +2 1562.24 1509.501 0.0202706685 9.32 +4 1562.138 1243.749 0.0262469046 9.32 +5 1562.007 1899.679 0.070886529 9.32 +6 1561.876 1763.522 0.0818022005 9.32 +1 1561.777 1833.652 0.109597445 9.32 +2 1561.737 1508.926 0.024503061 9.32 +4 1561.698 1243.432 0.0194319325 9.32 +5 1561.562 1898.985 0.0906449116 9.32 +6 1561.415 1763.074 0.0534265851 9.32 +1 1442.144 1681.816 0.146247735 10.20 +2 1441.909 1389.714 0.022680388 10.20 +4 1441.798 1149.83 0.0164316767 10.20 +5 1441.517 1755.081 0.08553888 10.20 +6 1441.304 1632.385 0.0813418711 10.20 +1 1441.095 1680.34 0.12886427 10.20 +2 1441.064 1388.921 0.0213752193 10.20 +4 1440.998 1149.241 0.0388960152 10.20 +5 1440.842 1754.257 0.105243052 10.20 +6 1440.736 1631.76 0.0675425792 10.20 +1 1440.589 1679.939 0.0798805358 10.20 +2 1440.609 1388.543 0.0136418474 10.20 +4 1440.532 1148.898 0.0284534708 10.20 +5 1440.382 1753.856 0.0909857132 10.20 +6 1440.336 1631.385 0.0972959403 10.20 +1 1330.501 1540.124 0.0268774999 11.20 +2 1330.282 1278.735 0.0227705951 11.20 +4 1330.084 1062.4 0.0317175031 11.20 +5 1329.933 1621.594 0.0491975609 11.20 +6 1329.872 1510.226 0.0335320742 11.20 +1 1329.684 1539.141 0.0246758992 11.20 +2 1329.579 1278.116 0.0234606053 11.20 +4 1329.488 1061.908 0.0308155805 11.20 +5 1329.337 1620.924 0.0396534992 11.20 +6 1329.247 1509.629 0.0331496606 11.20 +1 1329.173 1538.574 0.025385035 11.20 +2 1329.073 1277.636 0.0331722776 11.20 +4 1329.027 1061.567 0.0231969826 11.20 +5 1328.946 1620.298 0.0627502988 11.20 +6 1328.941 1509.187 0.0295313393 11.20 +1 1227.822 1411.616 0.0296378137 12.30 +2 1227.624 1176.983 0.0254184972 12.30 +4 1227.488 981.774 0.0141562707 12.30 +5 1227.388 1498.331 0.0134499071 12.30 +6 1227.285 1398.287 0.0203002463 12.30 +1 1227.065 1410.802 0.0234435492 12.30 +2 1226.995 1176.35 0.0186010752 12.30 +4 1226.912 981.302 0.0242816803 12.30 +5 1226.79 1497.657 0.015036622 12.30 +6 1226.743 1397.779 0.0203199409 12.30 +1 1226.502 1410.203 0.0442052033 12.30 +2 1226.499 1175.956 0.0305352256 12.30 +4 1226.459 980.99 0.0202484567 12.30 +5 1226.425 1497.124 0.0209857094 12.30 +6 1226.362 1397.381 0.0369716107 12.30 +1 1134.152 1295.394 0.0429930227 13.50 +2 1133.934 1084.323 0.0218197159 13.50 +4 1133.795 908.035 0.0258166613 13.50 +5 1133.708 1386.637 0.0298680431 13.50 +6 1133.588 1296.089 0.0151294415 13.50 +1 1133.412 1294.408 0.0384135393 13.50 +2 1133.315 1083.641 0.0294771098 13.50 +4 1133.195 907.549 0.0271827151 13.50 +5 1133.159 1385.855 0.0263533679 13.50 +6 1133.105 1295.589 0.0340132327 13.50 +1 1132.884 1293.858 0.0390845238 13.50 +2 1132.814 1083.305 0.024989998 13.50 +4 1132.795 907.32 0.0235796522 13.50 +5 1132.743 1385.441 0.0213752193 13.50 +6 1132.728 1295.14 0.0270554985 13.50 +1 1048.552 1189.787 0.0580870037 14.80 +2 1048.386 999.943 0.0304318912 14.80 +4 1048.21 840.583 0.0203002463 14.80 +5 1048.059 1284.649 0.014862705 14.80 +6 1047.948 1202.659 0.018732325 14.80 +1 1047.801 1188.89 0.0414004831 14.80 +2 1047.733 999.273 0.0157511904 14.80 +4 1047.66 840.063 0.0199022612 14.80 +5 1047.545 1283.936 0.026122787 14.80 +6 1047.471 1202.034 0.0282913414 14.80 +1 1047.256 1188.323 0.027204779 14.80 +2 1047.257 998.851 0.0202212759 14.80 +4 1047.213 839.785 0.0304384625 14.80 +5 1047.149 1283.485 0.0227266364 14.80 +6 1047.068 1201.68 0.0124096736 14.80 +1 970.845 1094.734 0.0349342239 16.20 +2 970.681 923.514 0.0206009709 16.20 +4 970.49 779.238 0.0178213355 16.20 +5 970.341 1192.184 0.0281140534 16.20 +6 970.219 1117.716 0.0281496004 16.20 +1 970.113 1093.842 0.0238243573 16.20 +2 969.997 922.977 0.0228495077 16.20 +4 969.85 778.76 0.0213072758 16.20 +5 969.809 1191.517 0.0192898937 16.20 +6 969.785 1117.224 0.0149130815 16.20 +1 969.636 1093.241 0.029847948 16.20 +2 969.561 922.526 0.0234606053 16.20 +4 969.485 778.425 0.0271016605 16.20 +5 969.426 1191.107 0.0189235303 16.20 +6 969.396 1116.867 0.0264215821 16.20 +1 895.962 1003.979 0.0376417322 17.80 +2 895.807 850.32 0.0212132034 17.80 +4 895.688 720.145 0.0197610728 17.80 +5 895.547 1103.422 0.016358484 17.80 +6 895.429 1036.085 0.0156364958 17.80 +1 895.321 1003.124 0.0268402683 17.80 +2 895.214 849.775 0.0247082982 17.80 +4 895.11 719.69 0.0164924225 17.80 +5 895.026 1102.811 0.0203690942 17.80 +6 894.97 1035.542 0.0194319325 17.80 +1 894.871 1002.571 0.0259788375 17.80 +2 894.75 849.395 0.0280446073 17.80 +4 894.66 719.403 0.0256924113 17.80 +5 894.684 1102.401 0.0136711375 17.80 +6 894.653 1035.197 0.0209785605 17.80 +1 829.023 923.428 0.0398697881 19.50 +2 828.863 785.037 0.0219567757 19.50 +4 828.74 667.245 0.0233345238 19.50 +5 828.599 1024.062 0.0226185764 19.50 +6 828.463 962.974 0.0235881326 19.50 +1 828.356 922.639 0.0281229444 19.50 +2 828.273 784.507 0.0158145503 19.50 +4 828.187 666.815 0.0143701079 19.50 +5 828.123 1023.49 0.0228473193 19.50 +6 828.086 962.486 0.0209857094 19.50 +1 827.933 922.187 0.0287419554 19.50 +2 827.879 784.114 0.0321309819 19.50 +4 827.798 666.59 0.0121655251 19.50 +5 827.783 1023.124 0.0206494552 19.50 +6 827.748 962.116 0.0228997817 19.50 +1 765.61 847.837 0.0202509259 21.40 +2 765.473 723.532 0.0237402612 21.40 +4 765.319 617.219 0.0302473139 21.40 +5 765.233 949.096 0.0204058815 21.40 +6 765.139 893.746 0.0173320512 21.40 +1 764.942 847.142 0.0193287351 21.40 +2 764.842 723.041 0.0193106188 21.40 +4 764.789 616.77 0.0205912603 21.40 +5 764.743 948.549 0.0213752193 21.40 +6 764.692 893.235 0.0220113607 21.40 +1 764.589 846.636 0.019089264 21.40 +2 764.516 722.667 0.0192898937 21.40 +4 764.436 616.528 0.020774985 21.40 +5 764.38 948.17 0.0196468827 21.40 +6 764.387 892.923 0.0191337398 21.40 +1 709.027 781.078 0.0153492671 23.40 +2 708.918 668.918 0.026487733 23.40 +4 708.78 572.632 0.0266758318 23.40 +5 708.665 882.335 0.0237170825 23.40 +6 708.618 831.912 0.0189631221 23.40 +1 708.394 780.446 0.0343278313 23.40 +2 708.333 668.451 0.0203690942 23.40 +4 708.247 572.149 0.0187856328 23.40 +5 708.208 881.813 0.0201022387 23.40 +6 708.182 831.455 0.0115108644 23.40 +1 708.052 779.958 0.0288374756 23.40 +2 707.992 668.149 0.0262087772 23.40 +4 707.967 571.993 0.0125737822 23.40 +5 707.971 881.468 0.0234008547 23.40 +6 707.946 831.144 0.0183412104 23.40 +1 653.948 716.58 0.0286006993 25.70 +2 653.87 616.027 0.0282152441 25.70 +4 653.775 529.193 0.0213096222 25.70 +5 653.651 817.336 0.0228560714 25.70 +6 653.566 771.735 0.0335037311 25.70 +1 653.402 715.985 0.0344456093 25.70 +2 653.333 615.497 0.0189235303 25.70 +4 653.265 528.754 0.0168641632 25.70 +5 653.194 816.882 0.0120664825 25.70 +6 653.112 771.251 0.0318574952 25.70 +1 652.997 715.514 0.0259306768 25.70 +2 652.951 615.184 0.0260844781 25.70 +4 652.88 528.525 0.0191963538 25.70 +5 652.827 816.521 0.0179136819 25.70 +6 652.79 770.911 0.0333601559 25.70 +1 603.307 657.856 0.0255812431 28.20 +2 603.169 567.535 0.0225055549 28.20 +4 603.1 489.0903 0.00612217282 28.20 +5 603.033 757.693 0.0317190794 28.20 +6 602.906 716.207 0.0163737595 28.20 +1 602.751 657.279 0.0162757488 28.20 +2 602.679 567.067 0.0196494275 28.20 +4 602.635 488.7419 0.0109658105 28.20 +5 602.589 757.178 0.0348941256 28.20 +6 602.534 715.789 0.0294431656 28.20 +1 602.384 656.879 0.0238516247 28.20 +2 602.329 566.787 0.0259634358 28.20 +4 602.344 488.51 0.0146615142 28.20 +5 602.327 756.822 0.0219453868 28.20 +6 602.256 715.466 0.0253061257 28.20 +1 556.86 604.436 0.0218265893 30.90 +2 556.783 523.344 0.0224588513 30.90 +4 556.749 452.5382 0.00797094725 30.90 +5 556.665 702.968 0.0232723011 30.90 +6 556.549 665.293 0.0218654979 30.90 +1 556.36 603.949 0.0256300605 30.90 +2 556.303 522.94 0.0142828569 30.90 +4 556.33 452.2297 0.00837143954 30.90 +5 556.303 702.531 0.0271827151 30.90 +6 556.163 664.91 0.0203469899 30.90 +1 556.039 603.616 0.0282559728 30.90 +2 555.99 522.637 0.0279660508 30.90 +4 556.034 451.9911 0.00995334115 30.90 +5 556.012 702.221 0.0233858932 30.90 +6 555.879 664.621 0.0221110832 30.90 +1 514.441 556.19 0.0253771551 33.80 +2 514.347 482.977 0.00806473806 33.80 +4 514.323 419.16 0.0109918151 33.80 +5 514.241 652.978 0.0153492671 33.80 +6 514.141 618.735 0.0196086716 33.80 +1 513.934 555.693 0.0374446258 33.80 +2 513.942 482.6301 0.00836594286 33.80 +4 513.96 418.8604 0.0071612848 33.80 +5 513.884 652.541 0.0213752193 33.80 +6 513.81 618.348 0.0226627448 33.80 +1 513.718 555.319 0.0245947149 33.80 +2 513.69 482.3778 0.0111200719 33.80 +4 513.674 418.6712 0.00823626129 33.80 +5 513.623 652.229 0.0275481397 33.80 +6 513.578 618.074 0.0107888832 33.80 +1 473.4636 510.01 0.0404722127 37.10 +2 473.3657 444.4136 0.00888841943 37.10 +4 473.2793 387.0005 0.00578143581 37.10 +5 473.187 604.75 0.0264575131 37.10 +6 473.1165 573.67 0.0225831796 37.10 +1 473.0189 509.549 0.027765086 37.10 +2 472.9517 444.0535 0.0083297659 37.10 +4 472.8996 386.7109 0.00451984513 37.10 +5 472.8449 604.325 0.0229455878 37.10 +6 472.7804 573.347 0.0189235303 37.10 +1 472.7162 509.183 0.034235946 37.10 +2 472.6813 443.8211 0.00497483668 37.10 +4 472.6361 386.4945 0.00509165985 37.10 +5 472.5798 603.978 0.03706211 37.10 +6 472.5417 573.065 0.0201121854 37.10 +1 435.6499 467.4362 0.012415152 40.70 +2 435.5351 408.7998 0.00477660968 40.70 +4 435.4378 357.1941 0.00887068205 40.70 +5 435.3451 559.952 0.0285937056 40.70 +6 435.249 531.813 0.0251017928 40.70 +1 435.1384 466.8569 0.00951782538 40.70 +2 435.055 408.3669 0.00606704211 40.70 +4 435.0102 356.8578 0.00623345811 40.70 +5 434.9492 559.523 0.0294635368 40.70 +6 434.9041 531.48 0.0165529454 40.70 +1 434.8821 466.6225 0.00563959218 40.70 +2 434.8452 408.1987 0.0060762653 40.70 +4 434.8206 356.7131 0.00849523396 40.70 +5 434.7835 559.291 0.0302803567 40.70 +6 434.7474 531.258 0.0212508823 40.70 +1 401.2786 429.1596 0.00534265851 44.60 +2 401.1904 376.5587 0.00982756328 44.60 +4 401.0999 330.134 0.00778203058 44.60 +5 401.0082 519.169 0.0241847059 44.60 +6 400.9512 493.5208 0.00645879246 44.60 +1 400.869 428.7224 0.00781050575 44.60 +2 400.8261 376.2553 0.00783077263 44.60 +4 400.7581 329.8648 0.00622382519 44.60 +5 400.7111 518.847 0.018976301 44.60 +6 400.6713 493.2003 0.00797878437 44.60 +1 400.6105 428.4284 0.00730780405 44.60 +2 400.5505 375.9903 0.00513039959 44.60 +4 400.4965 329.6634 0.00709957745 44.60 +5 400.4592 518.563 0.0186574382 44.60 +6 400.4457 492.945 0.00879659025 44.60 +1 369.1071 393.5674 0.00766054828 48.90 +2 369.0009 346.4728 0.00835918656 48.90 +4 368.9008 304.7553 0.00801130451 48.90 +5 368.8216 480.7213 0.00812902208 48.90 +6 368.7649 457.5843 0.00692249955 48.90 +1 368.6767 393.0887 0.0069829077 48.90 +2 368.5985 346.117 0.00787400787 48.90 +4 368.5235 304.4685 0.00638631349 48.90 +5 368.4827 480.3379 0.00808263571 48.90 +6 368.268 456.8633 0.0794129775 48.90 +1 367.9592 392.394 0.0727305988 48.90 +2 367.9455 345.5963 0.0524017271 48.90 +4 367.9015 304.0167 0.0462489027 48.90 +5 367.8716 479.6998 0.0700276802 48.90 +6 367.8655 456.5886 0.010477786 48.90 +1 339.341 360.8182 0.0104266965 53.60 +2 339.2181 318.7114 0.00912491096 53.60 +4 339.0965 281.1962 0.00913980306 53.60 +5 338.993 445.1031 0.00737760124 53.60 +6 338.9068 424.1066 0.0100649888 53.60 +1 338.7747 360.2184 0.00814518263 53.60 +2 338.7104 318.2467 0.00778466441 53.60 +4 338.637 280.8457 0.00595994966 53.60 +5 338.5614 444.5965 0.00692423281 53.60 +6 338.5146 423.661 0.00572712843 53.60 +1 338.4427 359.8347 0.00988539326 53.60 +2 338.3854 317.9631 0.00882094099 53.60 +4 338.3397 280.6148 0.00965069946 53.60 +5 338.2964 444.265 0.00504579032 53.60 +6 338.265 423.3827 0.0120897064 53.60 +1 311.6814 330.565 0.00887580982 58.80 +2 311.5515 292.9386 0.00803517268 58.80 +4 311.416 259.3117 0.0114804617 58.80 +5 311.2982 411.8716 0.00798398397 58.80 +6 311.2059 392.862 0.0100309521 58.80 +1 311.0848 329.9241 0.00637251913 58.80 +2 310.9942 292.4497 0.00311464284 58.80 +4 310.9065 258.9103 0.0101882776 58.80 +5 310.8336 411.2931 0.00942385272 58.80 +6 310.7762 392.3424 0.00909417396 58.80 +1 310.6855 329.4805 0.00616319722 58.80 +2 310.6317 292.1072 0.00882133777 58.80 +4 310.5567 258.6339 0.0086907422 58.80 +5 310.4995 410.9223 0.00737570336 58.80 +6 310.4663 391.9963 0.00657426802 58.80 +1 286.3559 302.9877 0.00452117241 64.50 +2 286.2333 269.3518 0.0067864571 64.50 +4 286.096 239.238 0.00986610359 64.50 +5 285.985 381.3051 0.00430917626 64.50 +6 285.887 364.0683 0.00595659299 64.50 +1 285.7669 302.3623 0.00795493557 64.50 +2 285.6849 268.8784 0.00637683307 64.50 +4 285.6025 238.8301 0.00915035518 64.50 +5 285.5196 380.7509 0.00675640437 64.50 +6 285.453 363.592 0.00761183289 64.50 +1 285.3618 301.929 0.0064591021 64.50 +2 285.2874 268.5482 0.00722744768 64.50 +4 285.2308 238.5515 0.00982776679 64.50 +5 285.1992 380.3627 0.00721255849 64.50 +6 285.1454 363.2376 0.00640343658 64.50 +1 263.1666 277.8586 0.0134923682 70.70 +2 263.0482 247.8155 0.00775145148 70.70 +4 262.9278 220.8111 0.00798304453 70.70 +5 262.8193 353.1814 0.00881725581 70.70 +6 262.7132 337.5644 0.0105519666 70.70 +1 262.5865 277.2456 0.00745010067 70.70 +2 262.5207 247.3338 0.00954442246 70.70 +4 262.4386 220.4061 0.00901493206 70.70 +5 262.3572 352.5988 0.00728258196 70.70 +6 262.2858 337.063 0.00760131568 70.70 +1 262.2106 276.8027 0.00590093213 70.70 +2 262.135 247.0052 0.00810283901 70.70 +4 262.0745 220.1269 0.00449099098 70.70 +5 262.0291 352.2129 0.00538600037 70.70 +6 261.9736 336.7056 0.00824645378 70.70 +1 241.5362 254.5173 0.00953734764 77.50 +2 241.4241 227.7234 0.00576055553 77.50 +4 241.3219 203.5753 0.00494378398 77.50 +5 241.2312 326.7774 0.00836444858 77.50 +6 241.1301 312.6372 0.00937208621 77.50 +1 241.021 253.9547 0.00716526343 77.50 +2 240.9299 227.2654 0.00538739269 77.50 +4 240.8454 203.2018 0.00671088668 77.50 +5 240.7763 326.2411 0.0083215984 77.50 +6 240.7249 312.1605 0.00357840747 77.50 +1 240.6378 253.5383 0.00542411283 77.50 +2 240.5715 226.9669 0.00704904249 77.50 +4 240.5153 202.9289 0.00935355547 77.50 +5 240.4677 325.8579 0.00732454777 77.50 +6 240.4183 311.8406 0.00795260963 77.50 +1 221.4569 232.9131 0.00376948272 85.00 +2 221.3445 209.0715 0.00904350596 85.00 +4 221.2372 187.5008 0.0159679679 85.00 +5 221.1535 302.0725 0.00840148796 85.00 +6 221.0715 289.2886 0.00825372643 85.00 +1 220.9567 232.3854 0.00663656538 85.00 +2 220.8862 208.6443 0.00843925352 85.00 +4 220.8042 187.1542 0.00562281069 85.00 +5 220.7367 301.5359 0.00693750676 85.00 +6 220.6877 288.8332 0.00840571234 85.00 +1 220.6038 232.0054 0.00496225755 85.00 +2 220.5513 208.3492 0.00591066832 85.00 +4 220.5 186.8991 0.00863649234 85.00 +5 220.4545 301.1851 0.00596900327 85.00 +6 220.4104 288.5086 0.00678851972 85.00 +1 202.9574 213.0911 0.00798179178 93.20 +2 202.867 191.8778 0.00596623835 93.20 +4 202.7679 172.6496 0.00576229121 93.20 +5 202.6806 279.0878 0.00721637028 93.20 +6 202.5875 267.5764 0.00837997613 93.20 +1 202.4679 212.5735 0.0055031809 93.20 +2 202.402 191.4747 0.00399512203 93.20 +4 202.3265 172.3173 0.00649006934 93.20 +5 202.2657 278.6013 0.00874991429 93.20 +6 202.206 267.1285 0.00608974548 93.20 +1 202.1383 212.2074 0.00462644572 93.20 +2 202.0885 191.1903 0.00655293827 93.20 +4 202.0258 172.047 0.00734982993 93.20 +5 201.9761 278.2389 0.00434614772 93.20 +6 201.9501 266.8114 0.00656384034 93.20 +1 186.0784 195.0241 0.00987466455 102.00 +2 185.9759 176.1868 0.00757733462 102.00 +4 185.8848 159.0414 0.0102099951 102.00 +5 185.8135 257.9817 0.00810561534 102.00 +6 185.7392 247.5587 0.00397756207 102.00 +1 185.6455 194.5704 0.00667113184 102.00 +2 185.569 175.8257 0.00670082085 102.00 +4 185.5211 158.6835 0.00497041246 102.00 +5 185.4754 257.5236 0.00753418874 102.00 +6 185.4105 247.1531 0.00881073209 102.00 +1 185.3248 194.231 0.00765506368 102.00 +2 185.2795 175.5492 0.00616895453 102.00 +4 185.252 158.4607 0.00198015151 102.00 +5 185.2084 257.1889 0.00731771822 102.00 +6 185.1475 246.8663 0.00688774274 102.00 +1 169.991 177.8883 0.00838933847 112.00 +2 169.9051 161.2264 0.00602528008 112.00 +4 169.828 145.982 0.00285306852 112.00 +5 169.7533 237.6388 0.00658604585 112.00 +6 169.6828 228.3079 0.00392542991 112.00 +1 169.5966 177.4665 0.00674277391 112.00 +2 169.5207 160.8849 0.0041435492 112.00 +4 169.4747 145.6997 0.00159405144 112.00 +5 169.424 237.241 0.00577234788 112.00 +6 169.3554 227.9276 0.00640343658 112.00 +1 169.3092 177.1596 0.00724458418 112.00 +2 169.2513 160.6382 0.00440408901 112.00 +4 169.2167 145.4815 0.00160156174 112.00 +5 169.1819 236.9191 0.00906912344 112.00 +6 169.1403 227.6223 0.00890847911 112.00 +1 155.04 162.0794 0.0119934982 123.00 +2 154.9644 147.3248 0.0035519009 123.00 +4 154.8972 133.8827 0.00313703682 123.00 +5 154.8271 218.6672 0.0117582312 123.00 +6 154.7567 210.2582 0.0100864265 123.00 +1 154.676 161.6957 0.00930811474 123.00 +2 154.6204 147.0132 0.00216702561 123.00 +4 154.5768 133.6165 0.00200124961 123.00 +5 154.5214 218.2648 0.00975479369 123.00 +6 154.4655 209.9036 0.00957726475 123.00 +1 154.4076 161.4105 0.00719061889 123.00 +2 154.3689 146.7793 0.00318449368 123.00 +4 154.3288 133.4245 0.00286443712 123.00 +5 154.282 217.981 0.00823650411 123.00 +6 154.2423 209.643 0.0112222992 123.00 +1 141.491 147.6501 0.00449544214 135.00 +2 141.4155 134.687 0.00444297198 135.00 +4 141.3345 122.8061 0.00289637705 135.00 +5 141.2644 201.1675 0.00876726867 135.00 +6 141.1979 193.6212 0.0110098138 135.00 +1 141.1258 147.276 0.00298328678 135.00 +2 141.074 134.3805 0.0032534597 135.00 +4 141.017 122.5514 0.0024049948 135.00 +5 140.9681 200.787 0.0156198592 135.00 +6 140.9175 193.2727 0.00609762249 135.00 +1 140.8664 147.0005 0.00228582589 135.00 +2 140.8305 134.1576 0.00159499216 135.00 +4 140.7894 122.3611 0.00302142351 135.00 +5 140.7471 200.485 0.0106808239 135.00 +6 140.7059 193.0114 0.00755804207 135.00 +1 129.0281 134.4957 0.00335276006 148.00 +2 128.9628 123.0933 0.00375246586 148.00 +4 128.9012 112.6125 0.00319452657 148.00 +5 128.8389 184.9413 0.00879551022 148.00 +6 128.7767 178.1963 0.00982858077 148.00 +1 128.7207 134.1687 0.00304647337 148.00 +2 128.6715 122.8121 0.00269981481 148.00 +4 128.6244 112.3801 0.00208062491 148.00 +5 128.5782 184.5914 0.0121442991 148.00 +6 128.5316 177.8882 0.00790037974 148.00 +1 128.4866 133.9218 0.00362436201 148.00 +2 128.448 122.6229 0.0029814426 148.00 +4 128.4135 112.2113 0.00284270997 148.00 +5 128.3782 184.3399 0.00835158668 148.00 +6 128.3436 177.6548 0.0082277579 148.00 +1 117.8197 122.69 0.00375765885 162.00 +2 117.7589 112.6376 0.003575472 162.00 +4 117.698 103.3875 0.00436634859 162.00 +5 117.6355 170.1572 0.00805208048 162.00 +6 117.5808 164.1005 0.010710042 162.00 +1 117.5294 122.3888 0.00309127805 162.00 +2 117.4874 112.3793 0.00340602408 162.00 +4 117.4409 103.177 0.00294278779 162.00 +5 117.3941 169.8466 0.00904897784 162.00 +6 117.351 163.8318 0.00804213902 162.00 +1 117.3126 122.1592 0.00240333102 162.00 +2 117.2808 112.1975 0.00210831686 162.00 +4 117.2494 103.0191 0.00324175878 162.00 +5 117.2146 169.6018 0.00703676062 162.00 +6 117.179 163.5939 0.00439420072 162.00 +1 107.067 111.4004 0.00313113398 178.00 +2 107.0115 102.6068 0.00324592052 178.00 +4 106.9601 94.5155 0.0032596012 178.00 +5 106.9113 155.7818 0.00240748832 178.00 +6 106.8676 150.4059 0.00210926527 178.00 +1 106.8098 111.1327 0.00397504717 178.00 +2 106.7714 102.3805 0.00241764348 178.00 +4 106.7285 94.3265 0.00290602822 178.00 +5 106.6911 155.497 0.00202977831 178.00 +6 106.6594 150.1442 0.00170762994 178.00 +1 106.6189 110.9337 0.00330771825 178.00 +2 106.5909 102.2186 0.00231170932 178.00 +4 106.561 94.1868 0.00296580512 178.00 +5 106.5327 155.289 0.00269814751 178.00 +6 106.512 149.9523 0.00309854805 178.00 +1 97.5694 101.4599 0.00339838197 195.00 +2 97.5144 93.7452 0.00271587923 195.00 +4 97.4685 86.6478 0.00274153242 195.00 +5 97.4316 142.9908 0.00298596718 195.00 +6 97.3932 138.1922 0.00182098874 195.00 +1 97.3353 101.2193 0.00308885092 195.00 +2 97.2996 93.5377 0.0023876767 195.00 +4 97.2653 86.4741 0.00217002304 195.00 +5 97.2356 142.7253 0.0022318154 195.00 +6 97.2048 137.9584 0.00363373087 195.00 +1 97.1621 101.0341 0.00309983871 195.00 +2 97.1349 93.3959 0.00272194783 195.00 +4 97.1129 86.3561 0.0022246348 195.00 +5 97.0938 142.5332 0.00210618138 195.00 +6 97.0719 137.7846 0.00261992366 195.00 +1 88.7547 92.2667 0.00451009978 214.00 +2 88.7146 85.5212 0.00293189359 214.00 +4 88.6701 79.3293 0.0031434058 214.00 +5 88.6349 130.9847 0.00211683726 214.00 +6 88.603 126.7266 0.00262373779 214.00 +1 88.5501 92.049 0.00283901391 214.00 +2 88.5197 85.3407 0.00249018072 214.00 +4 88.4862 79.1752 0.00184282392 214.00 +5 88.4591 130.7547 0.0029293344 214.00 +6 88.4393 126.5156 0.00291273068 214.00 +1 88.3983 91.8912 0.00253298243 214.00 +2 88.3763 85.2134 0.00281851024 214.00 +4 88.3529 79.0652 0.00209666402 214.00 +5 88.334 130.5863 0.00249419326 214.00 +6 88.3197 126.364 0.00232808935 214.00 +1 81.057 84.2508 0.0033430525 234.00 +2 81.0166 78.3254 0.00228122774 234.00 +4 80.9774 72.9141 0.00209976189 234.00 +5 80.9458 120.3762 0.0015861904 234.00 +6 80.9127 116.5816 0.00274299107 234.00 +1 80.8704 84.0584 0.00336214217 234.00 +2 80.8431 78.167 0.00172046505 234.00 +4 80.8148 72.7727 0.00253791253 234.00 +5 80.7902 120.169 0.00226715681 234.00 +6 80.7708 116.3904 0.00229434086 234.00 +1 80.7367 83.9203 0.00286373881 234.00 +2 80.7138 78.0529 0.00197205477 234.00 +4 80.6983 72.6738 0.00258766304 234.00 +5 80.6851 120.0129 0.00253160028 234.00 +6 80.6663 116.2478 0.00203371581 234.00 +1 73.7603 76.679 0.00343511281 257.00 +2 73.7239 71.5129 0.00244724335 257.00 +4 73.6894 66.8128 0.00216702561 257.00 +5 73.6595 110.2108 0.0024240462 257.00 +6 73.6307 106.8482 0.00172510869 257.00 +1 73.5938 76.5072 0.00257992248 257.00 +2 73.5673 71.3773 0.0018976301 257.00 +4 73.5433 66.6903 0.00329863608 257.00 +5 73.5221 110.0244 0.00277200289 257.00 +6 73.5038 106.6842 0.00220816666 257.00 +1 73.483 76.3943 0.00299349294 257.00 +2 73.4658 71.2783 0.0013118689 257.00 +4 73.4493 66.6047 0.00214032708 257.00 +5 73.434 109.8898 0.00147512711 257.00 +6 73.4169 106.5546 0.00355021126 257.00 +1 65.8953 68.5408 0.00144775689 288.00 +2 65.8586 64.1745 0.0035503521 288.00 +4 65.8272 60.2178 0.00271955879 288.00 +5 65.804 99.1084 0.0025502941 288.00 +6 65.778 96.2101 0.00219294323 288.00 +1 65.7434 68.3878 0.00306202547 288.00 +2 65.7225 64.0469 0.001126499 288.00 +4 65.701 60.1072 0.00218082553 288.00 +5 65.6809 98.9389 0.00243905719 288.00 +6 65.6659 96.0484 0.0022324874 288.00 +1 65.644 68.2777 0.00195473783 288.00 +2 65.6267 63.9555 0.00272488532 288.00 +4 65.6124 60.0282 0.00117303026 288.00 +5 65.5991 98.8125 0.00266176633 288.00 +6 65.5874 95.9447 0.0018817545 288.00 +1 62.8157 65.3648 0.0017538529 302.00 +2 62.7846 61.3055 0.00319765539 302.00 +4 62.7574 57.6351 0.0027765086 302.00 +5 62.7356 94.7272 0.00275245345 302.00 +6 62.7183 92.0013 0.00312745903 302.00 +1 62.6825 65.2225 0.00213190056 302.00 +2 62.6635 61.189 0.00271293199 302.00 +4 62.6484 57.5369 0.0015965588 302.00 +5 62.6308 94.5714 0.00243803199 302.00 +6 62.6128 91.8683 0.00190814046 302.00 +1 62.5857 65.1319 0.00212814473 302.00 +2 62.5733 61.1145 0.0021691012 302.00 +4 62.5656 57.4707 0.00215429803 302.00 +5 62.5517 94.4596 0.00229434086 302.00 +6 62.5441 91.7755 0.00401061093 302.00 +1 61.1814 63.6768 0.00247709507 310.00 +2 61.1535 59.7803 0.00174384632 310.00 +4 61.1246 56.258 0.00342636834 310.00 +5 61.1033 92.3842 0.0029826163 310.00 +6 61.0853 89.7611 0.0021746264 310.00 +1 61.0517 63.544 0.00229782506 310.00 +2 61.0297 59.6705 0.00168671278 310.00 +4 61.0165 56.1725 0.00229891279 310.00 +5 61.0049 92.2353 0.00181686543 310.00 +6 60.9866 89.6288 0.00223069496 310.00 +1 60.9686 63.4605 0.0026124701 310.00 +2 60.957 59.5923 0.00200024998 310.00 +4 60.9446 56.1093 0.00220476756 310.00 +5 60.9281 92.1349 0.00195166596 310.00 +6 60.9205 89.5391 0.0014862705 310.00 diff --git a/calib_data/_calib_data/calib_2024-12-09.txt b/calib_data/_calib_data/calib_2024-12-09.txt new file mode 100644 index 0000000..e4b7549 --- /dev/null +++ b/calib_data/_calib_data/calib_2024-12-09.txt @@ -0,0 +1,887 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 17553.23 445.98 0.0181565415 1.62 +2 17552.75 19187.77 1.87446259 1.62 +4 17552.49 9874.24 0.257371327 1.62 +5 17547.24 10645.95 1.11939716 1.62 +6 17544.93 19677.77 1.73384255 1.62 +1 17539.01 445.8757 0.0123272462 1.62 +2 17533.85 19165.47 1.25236177 1.62 +4 17531.45 9864.68 0.486168695 1.62 +5 17531.17 10633.29 0.857257254 1.62 +6 17527.28 19658.93 1.40000357 1.62 +1 17525.06 445.7732 0.0110070886 1.62 +2 17521.25 19160.66 1.10789891 1.62 +4 17522.11 9861.93 0.586182565 1.62 +5 17520.84 10633.15 0.526735228 1.62 +6 17520.29 19656.56 1.61593317 1.62 +1 13326.27 408.9861 0.00907573688 1.78 +2 13327.74 14674.94 0.526535849 1.78 +4 13328.09 7768.47 0.271679959 1.78 +5 13327.5 8082.02 0.421141306 1.78 +6 13328.9 15034.01 0.287210724 1.78 +1 13328.08 409.0312 0.00706371007 1.78 +2 13328.69 14674.58 0.406890649 1.78 +4 13331.52 7770.79 0.382478758 1.78 +5 13330.84 8083.26 0.26540535 1.78 +6 13330.85 15037.95 0.620523972 1.78 +1 13331.28 409.0457 0.00533863278 1.78 +2 13332.05 14677.53 0.357505245 1.78 +4 13331.76 7771.22 0.382047118 1.78 +5 13330.02 8083.52 0.310096759 1.78 +6 13329.87 15036.57 0.669186073 1.78 +1 11427.59 389.2283 0.00641880051 1.95 +2 11428.25 12632.48 0.358831437 1.95 +4 11426.38 6788.96 0.271735165 1.95 +5 11425.1 6924.9 0.267581763 1.95 +6 11427.03 12928.71 0.679036082 1.95 +1 11426.77 389.202 0.00997997996 1.95 +2 11426.61 12632 0.439772669 1.95 +4 11425.62 6789.43 0.288461436 1.95 +5 11425.14 6924.97 0.183874958 1.95 +6 11425.09 12926.58 0.207267943 1.95 +1 11426.75 389.2007 0.00457176115 1.95 +2 11426.43 12631.2 0.350713558 1.95 +4 11426.3 6788.53 0.298345437 1.95 +5 11426.05 6925.46 0.166853229 1.95 +6 11426.25 12928.12 0.581515262 1.95 +1 9841.26 370.6065 0.00660492241 2.14 +2 9841.08 10919.08 0.399949997 2.14 +4 9841.47 5956.48 0.250918313 2.14 +5 9840.58 5961.91 0.298814324 2.14 +6 9840.22 11167.16 0.365568051 2.14 +1 9840.95 370.608 0.00700999287 2.14 +2 9840.51 10919.42 0.27342275 2.14 +4 9841.39 5956.8 0.207846097 2.14 +5 9840.4 5960.87 0.329863608 2.14 +6 9840.4 11167.5 0.313049517 2.14 +1 9841.08 370.5847 0.00740682118 2.14 +2 9842.02 10919.31 0.467001071 2.14 +4 9840.3 5957.33 0.187643279 2.14 +5 9839.43 5960.91 0.283001767 2.14 +6 9840.18 11168.27 0.419297031 2.14 +1 8571.56 353.8821 0.00924818901 2.34 +2 8571.44 9542.99 0.196697738 2.34 +4 8571.29 5280.15 0.242177621 2.34 +5 8571.3 5191.17 0.352718018 2.34 +6 8571.36 9753.34 0.209380037 2.34 +1 8572.65 353.9091 0.0114808101 2.34 +2 8573.46 9544.78 0.304893424 2.34 +4 8572.83 5280.41 0.278729259 2.34 +5 8571.17 5192.06 0.224588513 2.34 +6 8571.14 9753.71 0.357057418 2.34 +1 8572.12 353.8993 0.0101420412 2.34 +2 8572.97 9543.79 0.445522166 2.34 +4 8572.26 5280.54 0.34473178 2.34 +5 8571.91 5191.59 0.258244071 2.34 +6 8573.23 9752.8 0.343220046 2.34 +1 7466.15 337.6768 0.00898309523 2.57 +2 7466.6 8337.93 0.304975409 2.57 +4 7465.99 4677.506 0.10099703 2.57 +5 7466.51 4517.742 0.175566512 2.57 +6 7466.87 8516.15 0.158271918 2.57 +1 7465.96 337.6637 0.00784863045 2.57 +2 7465.02 8336.73 0.313384748 2.57 +4 7465.87 4677.678 0.16991645 2.57 +5 7466.74 4517.686 0.129020929 2.57 +6 7466.05 8515.74 0.30469657 2.57 +1 7466.21 337.66 0.00972419662 2.57 +2 7466.84 8338.31 0.264367169 2.57 +4 7466.49 4677.664 0.143862434 2.57 +5 7466.2 4517.542 0.128769562 2.57 +6 7466.19 8516.22 0.211092397 2.57 +1 6550.59 322.7348 0.00814346364 2.82 +2 6550.66 7335.47 0.39218618 2.82 +4 6550.86 4172.246 0.134269877 2.82 +5 6550.91 3961.221 0.0611138282 2.82 +6 6550.42 7486.34 0.192457788 2.82 +1 6550.19 322.738 0.008655634 2.82 +2 6550.48 7334.71 0.249178651 2.82 +4 6550.8 4172.932 0.10280856 2.82 +5 6550.96 3960.979 0.076973372 2.82 +6 6550.5 7487.53 0.289153938 2.82 +1 6549.65 322.7234 0.00939489223 2.82 +2 6549.61 7334.11 0.163981706 2.82 +4 6550.33 4172.595 0.127978514 2.82 +5 6550.42 3961.591 0.0623610455 2.82 +6 6549.74 7486.92 0.43099884 2.82 +1 5778.76 308.842 0.00894427191 3.09 +2 5779.75 6487.28 0.217163533 3.09 +4 5780.24 3740.561 0.189860212 3.09 +5 5780.2 3492.448 0.0712713126 3.09 +6 5779.46 6616.69 0.341891796 3.09 +1 5779.79 308.8316 0.00461345857 3.09 +2 5779.88 6486.67 0.435671895 3.09 +4 5779.6 3740.44 0.104613575 3.09 +5 5780.21 3492.439 0.0787965735 3.09 +6 5780.17 6617.52 0.386212377 3.09 +1 5780.02 308.8523 0.00532174783 3.09 +2 5780.53 6487.82 0.346929388 3.09 +4 5780.82 3740.963 0.093520586 3.09 +5 5780.65 3493.4 0.118718154 3.09 +6 5780.36 6618.22 0.261074702 3.09 +1 5132.79 296.0292 0.00850623301 3.38 +2 5132.82 5773.35 0.215522621 3.38 +4 5132.54 3372.58 0.0954567965 3.38 +5 5132.18 3098.785 0.0719478978 3.38 +6 5131.61 5884.15 0.149833241 3.38 +1 5132.38 296.0215 0.00825378701 3.38 +2 5133.24 5772.79 0.306088223 3.38 +4 5132.86 3372.334 0.117509149 3.38 +5 5132.55 3099.327 0.0884878523 3.38 +6 5132.43 5884.02 0.378364903 3.38 +1 5131.98 295.9845 0.00741248946 3.38 +2 5131.78 5772.01 0.256300605 3.38 +4 5132.31 3372.24 0.0529528092 3.38 +5 5132.39 3099.171 0.104932836 3.38 +6 5131.58 5883.34 0.261610397 3.38 +1 4559.758 283.6169 0.0066052252 3.71 +2 4559.679 5139.7 0.176068169 3.71 +4 4559.54 3042.316 0.0909857132 3.71 +5 4559.681 2751.18 0.0656810475 3.71 +6 4559.792 5236.65 0.208446636 3.71 +1 4559.934 283.6381 0.00691151214 3.71 +2 4559.729 5139.17 0.318449368 3.71 +4 4559.619 3042.464 0.0587401055 3.71 +5 4559.758 2751.176 0.130155292 3.71 +6 4559.733 5236.68 0.16358484 3.71 +1 4559.583 283.6142 0.00940829421 3.71 +2 4559.598 5138.77 0.262697545 3.71 +4 4559.683 3042.403 0.0641880051 3.71 +5 4559.319 2750.915 0.0749833315 3.71 +6 4559.213 5236.26 0.321309819 3.71 +1 4060.425 271.7485 0.00360347055 4.07 +2 4060.44 4581.339 0.112413967 4.07 +4 4060.362 2749.621 0.0427188483 4.07 +5 4060.239 2446.624 0.10546279 4.07 +6 4060.578 4665.607 0.070186181 4.07 +1 4060.308 271.754 0.00600832755 4.07 +2 4060.334 4581.526 0.137689506 4.07 +4 4060.488 2749.713 0.0574116713 4.07 +5 4060.378 2446.512 0.11531522 4.07 +6 4060.253 4665.325 0.0698032951 4.07 +1 4060.107 271.725 0.00790948797 4.07 +2 4060.368 4581.305 0.0597871224 4.07 +4 4060.427 2749.761 0.11051199 4.07 +5 4060.32 2446.493 0.0738383369 4.07 +6 4060.127 4665.133 0.0629769799 4.07 +1 3630.186 260.5678 0.00680705516 4.46 +2 3630.325 4100.15 0.054277067 4.46 +4 3630.252 2494.114 0.107797959 4.46 +5 3630.214 2184.117 0.0724851709 4.46 +6 3630.325 4173.536 0.12514152 4.46 +1 3630.279 260.5703 0.00625307924 4.46 +2 3630.379 4100.274 0.0647950615 4.46 +4 3630.212 2494.032 0.0710183075 4.46 +5 3630.101 2184.11 0.0870057469 4.46 +6 3630.251 4173.53 0.0747127834 4.46 +1 3630.141 260.5775 0.00485231903 4.46 +2 3630.175 4100.194 0.0810333265 4.46 +4 3630.169 2493.806 0.0336808551 4.46 +5 3630.208 2184.32 0.0968710483 4.46 +6 3630.423 4173.45 0.0942974019 4.46 +1 3253.787 249.9466 0.00665462245 4.89 +2 3253.789 3677.527 0.0875791071 4.89 +4 3253.763 2267.007 0.0495993952 4.89 +5 3253.766 1954.678 0.0994967336 4.89 +6 3253.843 3741.694 0.0767619698 4.89 +1 3253.848 249.946 0.00603324125 4.89 +2 3253.891 3677.671 0.0654133014 4.89 +4 3253.817 2266.935 0.0800281201 4.89 +5 3253.868 1954.44 0.0798122798 4.89 +6 3253.886 3741.482 0.0719138373 4.89 +1 3253.593 249.9461 0.00640694935 4.89 +2 3253.612 3677.499 0.0420820627 4.89 +4 3253.713 2266.833 0.0899227446 4.89 +5 3253.654 1954.577 0.0774603124 4.89 +6 3253.643 3741.222 0.0939127254 4.89 +1 2923.335 239.8332 0.00773666595 5.36 +2 2923.34 3305.346 0.0681498349 5.36 +4 2923.278 2065.098 0.0418282201 5.36 +5 2923.121 1752.822 0.0761813626 5.36 +6 2923.161 3361.116 0.101115775 5.36 +1 2923.332 239.8176 0.00720583097 5.36 +2 2923.447 3305.318 0.0742670856 5.36 +4 2923.435 2065.128 0.058477346 5.36 +5 2923.319 1752.925 0.0657457223 5.36 +6 2923.362 3361.059 0.0791384862 5.36 +1 2923.359 239.8273 0.00567987676 5.36 +2 2923.292 3305.131 0.0813197393 5.36 +4 2923.285 2065.078 0.0714954544 5.36 +5 2923.388 1752.902 0.0642464007 5.36 +6 2923.485 3361.152 0.0749639914 5.36 +1 2628.238 230.0206 0.00559499777 5.88 +2 2628.092 2971.199 0.0470414711 5.88 +4 2628.014 1881.985 0.0500249938 5.88 +5 2628.189 1571.237 0.0392950379 5.88 +6 2628.162 3020.025 0.0455466794 5.88 +1 2627.816 230.005 0.00713161973 5.88 +2 2627.736 2971.006 0.0599032553 5.88 +4 2627.731 1881.889 0.0678741482 5.88 +5 2627.932 1571.225 0.0304055916 5.88 +6 2628.11 3019.747 0.0852062204 5.88 +1 2627.971 230.0185 0.00771654068 5.88 +2 2627.984 2970.798 0.0772761283 5.88 +4 2627.859 1881.941 0.0869994253 5.88 +5 2627.921 1571.247 0.0265348827 5.88 +6 2627.989 3019.719 0.0639914057 5.88 +1 2370.526 220.7686 0.00525965778 6.45 +2 2370.488 2678.935 0.0771783648 6.45 +4 2370.282 1720.187 0.0736756405 6.45 +5 2370.209 1413.886 0.0334424879 6.45 +6 2370.387 2721.657 0.0563036411 6.45 +1 2370.249 220.7775 0.00436405774 6.45 +2 2370.374 2678.538 0.0665552402 6.45 +4 2370.266 1720.097 0.0941705899 6.45 +5 2370.234 1413.734 0.0277560804 6.45 +6 2370.401 2721.615 0.0561114961 6.45 +1 2370.304 220.7704 0.00689666586 6.45 +2 2370.386 2678.729 0.0668797428 6.45 +4 2370.278 1720.101 0.0485685083 6.45 +5 2370.267 1413.818 0.0470914005 6.45 +6 2370.398 2721.683 0.0771368913 6.45 +1 2150.521 212.278 0.0084923495 7.07 +2 2150.372 2428.526 0.0892658949 7.07 +4 2150.436 1579.72 0.0254950976 7.07 +5 2150.51 1279.565 0.0343292878 7.07 +6 2150.48 2466.464 0.0827550603 7.07 +1 2150.059 212.257 0.00854751426 7.07 +2 2150.119 2428.162 0.0776891241 7.07 +4 2150.178 1579.589 0.0257856549 7.07 +5 2150.142 1279.449 0.0167600716 7.07 +6 2150.113 2466.003 0.0791713332 7.07 +1 2150.086 212.244 0.00881362581 7.07 +2 2150.008 2428.024 0.093136459 7.07 +4 2149.994 1579.488 0.0271219468 7.07 +5 2150.083 1279.219 0.0165196852 7.07 +6 2150.018 2466.107 0.0854640275 7.07 +1 1957.906 204.3038 0.00992149182 7.75 +2 1957.611 2208.641 0.0642876349 7.75 +4 1957.727 1455.596 0.0251475645 7.75 +5 1957.734 1161.777 0.0316243577 7.75 +6 1957.478 2242.019 0.0819444934 7.75 +1 1957.332 204.2817 0.00924883776 7.75 +2 1957.324 2208.327 0.0429662658 7.75 +4 1957.379 1455.384 0.0348482424 7.75 +5 1957.363 1161.562 0.0310096759 7.75 +6 1957.239 2241.897 0.0664838326 7.75 +1 1957.239 204.2682 0.0093507219 7.75 +2 1957.301 2208.067 0.0578108986 7.75 +4 1957.334 1455.324 0.0406743162 7.75 +5 1957.399 1161.542 0.0343744091 7.75 +6 1957.414 2241.697 0.0867415702 7.75 +1 1787.023 196.7338 0.00747903737 8.50 +2 1787.002 2013.673 0.0738112458 8.50 +4 1786.918 1344.328 0.024240462 8.50 +5 1786.956 1057.598 0.028975852 8.50 +6 1786.991 2043.458 0.0946657277 8.50 +1 1786.519 196.7139 0.00812582304 8.50 +2 1786.632 2013.245 0.0621007246 8.50 +4 1786.67 1344.174 0.0252269697 8.50 +5 1786.655 1057.449 0.0247163913 8.50 +6 1786.514 2043.229 0.0608678897 8.50 +1 1786.526 196.704 0.00820853215 8.50 +2 1786.584 2013.277 0.0709372963 8.50 +4 1786.719 1344.2 0.0134907376 8.50 +5 1786.809 1057.476 0.0198595065 8.50 +6 1786.751 2043.307 0.0685718601 8.50 +1 1635.698 189.5838 0.00752037233 9.32 +2 1635.49 1840.475 0.0847614299 9.32 +4 1635.566 1244.624 0.0354739341 9.32 +5 1635.673 965.337 0.019851952 9.32 +6 1635.464 1867.24 0.0728010989 9.32 +1 1635.42 189.5664 0.00595348637 9.32 +2 1635.391 1840.251 0.0892350828 9.32 +4 1635.435 1244.494 0.0282913414 9.32 +5 1635.455 965.314 0.0256593063 9.32 +6 1635.31 1866.943 0.0706406399 9.32 +1 1635.129 189.5712 0.00535686475 9.32 +2 1635.047 1839.948 0.115237147 9.32 +4 1635.149 1244.29 0.0230217289 9.32 +5 1635.268 965.177 0.0334080829 9.32 +6 1635.056 1866.836 0.0776942726 9.32 +1 1502.468 182.9583 0.00762502459 10.20 +2 1502.275 1688.684 0.0520615021 10.20 +4 1502.17 1156.165 0.0185067555 10.20 +5 1502.172 884.481 0.0305434117 10.20 +6 1502.164 1712.659 0.0798179178 10.20 +1 1502.109 182.9448 0.00923125127 10.20 +2 1502.051 1688.249 0.0857373897 10.20 +4 1502.063 1156.072 0.017538529 10.20 +5 1502.113 884.469 0.0203199409 10.20 +6 1502.087 1712.467 0.0682502747 10.20 +1 1502.035 182.947 0.00597327381 10.20 +2 1501.958 1688.346 0.0547941603 10.20 +4 1501.964 1155.932 0.0276694778 10.20 +5 1501.975 884.303 0.0214499417 10.20 +6 1501.934 1712.345 0.0871349528 10.20 +1 1379.155 176.4032 0.0065449217 11.20 +2 1379.166 1547.06 0.0289482297 11.20 +4 1379.133 1073.131 0.021883784 11.20 +5 1379.018 809.602 0.020238577 11.20 +6 1379.017 1568.506 0.033888051 11.20 +1 1378.927 176.4091 0.00392288159 11.20 +2 1378.856 1546.824 0.0250679078 11.20 +4 1378.868 1073.038 0.0198896958 11.20 +5 1378.845 809.441 0.018732325 11.20 +6 1378.825 1568.318 0.0261457454 11.20 +1 1378.678 176.3923 0.00632463438 11.20 +2 1378.767 1546.729 0.0355654327 11.20 +4 1378.807 1072.922 0.0238243573 11.20 +5 1378.794 809.457 0.0254578082 11.20 +6 1378.789 1568.2 0.0186547581 11.20 +1 1267.504 170.1083 0.00559115373 12.30 +2 1267.439 1419.201 0.023428615 12.30 +4 1267.349 997.005 0.0270277635 12.30 +5 1267.204 741.844 0.0370189141 12.30 +6 1267.195 1438.383 0.0172655727 12.30 +1 1267.158 170.0891 0.00830716558 12.30 +2 1267.101 1418.842 0.0230564525 12.30 +4 1267.072 996.843 0.025221023 12.30 +5 1267.013 741.77 0.0177763888 12.30 +6 1267.046 1438.136 0.0332024096 12.30 +1 1267.025 170.0542 0.0078112739 12.30 +2 1267.03 1418.746 0.0194010309 12.30 +4 1267.038 996.875 0.0368035324 12.30 +5 1267.019 741.72 0.0225831796 12.30 +6 1267.018 1438.186 0.0256593063 12.30 +1 1165.998 164.0447 0.00849240837 13.50 +2 1165.941 1303.22 0.0165529454 13.50 +4 1165.908 927.042 0.0244867311 13.50 +5 1165.813 680.502 0.0189103146 13.50 +6 1165.754 1320.507 0.0211683726 13.50 +1 1165.69 164.0337 0.00546452194 13.50 +2 1165.639 1302.96 0.0205912603 13.50 +4 1165.618 926.895 0.0184526421 13.50 +5 1165.534 680.449 0.022020445 13.50 +6 1165.568 1320.307 0.0236241402 13.50 +1 1165.578 164.0247 0.00651160502 13.50 +2 1165.555 1302.844 0.0286076913 13.50 +4 1165.576 926.834 0.0106957936 13.50 +5 1165.532 680.3 0.0132664992 13.50 +6 1165.509 1320.18 0.0175499288 13.50 +1 1074.245 158.1895 0.00249499499 14.80 +2 1074.144 1198.513 0.0219111844 14.80 +4 1074.01 863.109 0.0310950157 14.80 +5 1073.924 625.16 0.013114877 14.80 +6 1073.867 1213.967 0.0322195593 14.80 +1 1073.896 158.1618 0.00267132926 14.80 +2 1073.846 1198.131 0.0108120303 14.80 +4 1073.765 862.906 0.0331119314 14.80 +5 1073.671 625.031 0.0277290461 14.80 +6 1073.672 1213.804 0.0290585616 14.80 +1 1073.739 158.158 0.00200997512 14.80 +2 1073.701 1197.969 0.0183002732 14.80 +4 1073.631 862.838 0.0154142791 14.80 +5 1073.595 624.967 0.0300349796 14.80 +6 1073.589 1213.639 0.0144533733 14.80 +1 991.541 152.6762 0.00337283264 16.20 +2 991.447 1104.381 0.0193106188 16.20 +4 991.288 804.855 0.0189868375 16.20 +5 991.211 575.56 0.0177763888 16.20 +6 991.133 1118.314 0.0155692004 16.20 +1 991.154 152.6409 0.00198217053 16.20 +2 991.159 1104.038 0.0184824241 16.20 +4 991.055 804.696 0.0221900879 16.20 +5 990.947 575.427 0.0196494275 16.20 +6 990.948 1118.12 0.0224944438 16.20 +1 990.953 152.6358 0.00257992248 16.20 +2 990.915 1103.826 0.0208901891 16.20 +4 990.873 804.578 0.0216240607 16.20 +5 990.807 575.29 0.0203469899 16.20 +6 990.824 1117.998 0.0338171554 16.20 +1 912.649 147.11 0.00201494417 17.80 +2 912.569 1014.873 0.0179471446 17.80 +4 912.458 748.712 0.028241813 17.80 +5 912.375 528.438 0.0243228288 17.80 +6 912.359 1027.49 0.0260768096 17.80 +1 912.2 147.0842 0.00217163533 17.80 +2 912.271 1014.472 0.0191206694 17.80 +4 912.253 748.504 0.0315658043 17.80 +5 912.183 528.317 0.0237507895 17.80 +6 912.137 1027.206 0.0249479458 17.80 +1 912.104 147.0741 0.00274754436 17.80 +2 912.111 1014.368 0.035771497 17.80 +4 912.039 748.434 0.0188255146 17.80 +5 911.976 528.262 0.0197888858 17.80 +6 911.964 1027.029 0.0181356003 17.80 +1 842.655 141.8949 0.00274390233 19.50 +2 842.52 935.662 0.0283125414 19.50 +4 842.367 698.255 0.0193002591 19.50 +5 842.338 455.1977 0.00679418869 19.50 +6 842.326 947.017 0.0164347193 19.50 +1 842.279 141.865 0.00301330383 19.50 +2 842.238 935.357 0.0329256739 19.50 +4 842.173 698.003 0.0208350666 19.50 +5 842.163 455.1186 0.00993498868 19.50 +6 842.157 946.829 0.0240603408 19.50 +1 842.083 141.8481 0.00317001577 19.50 +2 842.061 935.174 0.0217807254 19.50 +4 842.003 697.959 0.0189446562 19.50 +5 841.986 454.9896 0.00988352164 19.50 +6 842.012 946.656 0.025502941 19.50 +1 776.895 136.7219 0.00335097001 21.40 +2 776.791 861.607 0.0164347193 21.40 +4 776.702 650.333 0.024861617 21.40 +5 776.637 419.0191 0.00749459805 21.40 +6 776.56 871.776 0.0195038458 21.40 +1 776.455 136.6857 0.00417624233 21.40 +2 776.449 861.239 0.0295787086 21.40 +4 776.399 650.125 0.0321014018 21.40 +5 776.392 418.8698 0.00908713376 21.40 +6 776.371 871.599 0.0229106962 21.40 +1 776.299 136.6699 0.00208062491 21.40 +2 776.287 861.023 0.0207870152 21.40 +4 776.197 649.989 0.028193971 21.40 +5 776.218 418.8509 0.00955766708 21.40 +6 776.234 871.367 0.0188706121 21.40 +1 718.527 131.8705 0.00184526421 23.40 +2 718.462 796.134 0.0278280434 23.40 +4 718.387 607.361 0.0172887246 23.40 +5 718.358 387.2687 0.0074431848 23.40 +6 718.273 805.388 0.0193287351 23.40 +1 718.177 131.8366 0.00277200289 23.40 +2 718.151 795.757 0.0212626433 23.40 +4 718.086 607.124 0.0254636997 23.40 +5 718.058 387.0787 0.00647618715 23.40 +6 718.079 805.11 0.0188679623 23.40 +1 718.03 131.832 0.00362215406 23.40 +2 718.108 795.756 0.0223696223 23.40 +4 718.075 607.115 0.0360901649 23.40 +5 718.077 387.4529 0.00920483569 23.40 +6 718 805.082 0.0258379566 23.40 +1 661.878 126.9019 0.00196188685 25.70 +2 661.765 732.764 0.0187189743 25.70 +4 661.708 565.009 0.0243084348 25.70 +5 661.667 356.5208 0.00650814874 25.70 +6 661.569 741.109 0.0311271586 25.70 +1 661.491 126.8647 0.00314022292 25.70 +2 661.449 732.396 0.0166853229 25.70 +4 661.378 564.815 0.0244642596 25.70 +5 661.415 356.441 0.00712460525 25.70 +6 661.393 740.903 0.0264215821 25.70 +1 661.395 126.85 0.00202977831 25.70 +2 661.367 732.317 0.0222733024 25.70 +4 661.307 564.678 0.0296243143 25.70 +5 661.304 356.2949 0.0088073265 25.70 +6 661.287 740.723 0.0231969826 25.70 +1 609.893 122.0697 0.00277866875 28.20 +2 609.791 674.918 0.0194319325 28.20 +4 609.656 525.747 0.0202509259 28.20 +5 609.633 328.4211 0.00493649673 28.20 +6 609.614 682.513 0.0212626433 28.20 +1 609.519 122.0408 0.00300599401 28.20 +2 609.506 674.619 0.0198217053 28.20 +4 609.44 525.544 0.0239248824 28.20 +5 609.401 328.2859 0.00928164856 28.20 +6 609.422 682.202 0.0354062141 28.20 +1 609.356 122.0199 0.00254342289 28.20 +2 609.327 674.354 0.0204058815 28.20 +4 609.284 525.433 0.0234968083 28.20 +5 609.28 328.1681 0.00730130125 28.20 +6 609.265 682.061 0.0216540989 28.20 +1 562.433 117.4127 0.00183330303 30.90 +2 562.306 622.253 0.0105877287 30.90 +4 562.226 489.2893 0.00842146068 30.90 +5 562.227 302.8597 0.00775377327 30.90 +6 562.163 629.057 0.0268346791 30.90 +1 562.054 117.381 0.00446766158 30.90 +2 561.973 621.893 0.0189235303 30.90 +4 561.922 489.047 0.00701997151 30.90 +5 561.961 302.7278 0.0101121709 30.90 +6 561.953 628.802 0.0356033706 30.90 +1 561.837 117.3581 0.00335395289 30.90 +2 561.829 621.664 0.0147105404 30.90 +4 561.804 488.9275 0.00636906587 30.90 +5 561.787 302.6048 0.0113408994 30.90 +6 561.725 628.651 0.0201221271 30.90 +1 519.095 112.9288 0.00318998433 33.80 +2 519.02 574.437 0.0221833271 33.80 +4 518.965 455.7504 0.00797395761 33.80 +5 518.941 279.7202 0.00431462629 33.80 +6 518.817 580.528 0.0309127805 33.80 +1 518.706 112.8899 0.0020709901 33.80 +2 518.68 574.086 0.0248676497 33.80 +4 518.647 455.5274 0.00674121651 33.80 +5 518.647 279.5876 0.00618417335 33.80 +6 518.585 580.259 0.0145910932 33.80 +1 518.502 112.864 0.00270554985 33.80 +2 518.522 573.834 0.0215034881 33.80 +4 518.484 455.3698 0.00801847866 33.80 +5 518.425 279.4792 0.00749373071 33.80 +6 518.364 580.08 0.025019992 33.80 +1 477.2764 108.3773 0.00207870152 37.10 +2 477.1634 528.568 0.0296580512 37.10 +4 477.0878 423.0896 0.00881725581 37.10 +5 477.0273 257.6061 0.00705187918 37.10 +6 476.9545 534.087 0.0238348484 37.10 +1 476.8998 108.3338 0.00155434874 37.10 +2 476.8396 528.215 0.0315673882 37.10 +4 476.8015 422.8431 0.00811350726 37.10 +5 476.7639 257.4781 0.00626490223 37.10 +6 476.7035 533.799 0.036206353 37.10 +1 476.6404 108.3091 0.00195678307 37.10 +2 476.6181 528.01 0.0327108545 37.10 +4 476.6086 422.6897 0.00508340437 37.10 +5 476.5708 257.3655 0.00936509477 37.10 +6 476.5293 533.61 0.0296984848 37.10 +1 438.8868 103.945 0.00250998008 40.70 +2 438.7942 486.2843 0.00823049209 40.70 +4 438.6991 392.6166 0.00469936166 40.70 +5 438.6107 237.3114 0.00839785687 40.70 +6 438.5636 491.2454 0.00772813043 40.70 +1 438.4618 103.8983 0.00277506757 40.70 +2 438.4305 485.9174 0.00914133469 40.70 +4 438.3993 392.3716 0.00340939877 40.70 +5 438.3446 237.1628 0.00518613536 40.70 +6 438.3056 490.9376 0.00808727395 40.70 +1 438.2491 103.8639 0.0022558812 40.70 +2 438.2225 485.6684 0.00703306477 40.70 +4 438.1829 392.2026 0.00868009217 40.70 +5 438.1419 237.0645 0.0109281746 40.70 +6 438.118 490.7403 0.00600341569 40.70 +1 403.7219 99.6593 0.00253396922 44.60 +2 403.6394 447.8543 0.00622101278 44.60 +4 403.5697 364.3991 0.00543405926 44.60 +5 403.4895 218.7956 0.00822702863 44.60 +6 403.4107 452.294 0.0076602872 44.60 +1 403.3494 99.6098 0.00258379566 44.60 +2 403.2889 447.456 0.00881022134 44.60 +4 403.2273 364.141 0.0057965507 44.60 +5 403.1694 218.6274 0.00531450844 44.60 +6 403.1377 451.9795 0.00758056726 44.60 +1 403.0998 99.58 0.00202484567 44.60 +2 403.066 447.2169 0.00790752806 44.60 +4 403.0322 363.9594 0.00940446702 44.60 +5 402.9776 218.559 0.00681909085 44.60 +6 402.9544 451.7664 0.00374753252 44.60 +1 370.5073 95.3898 0.00334604244 48.90 +2 370.4352 411.5964 0.00444792086 48.90 +4 370.3687 337.4214 0.0060517766 48.90 +5 370.3147 201.4766 0.0101392307 48.90 +6 370.2605 415.6366 0.00882745717 48.90 +1 370.1968 95.348 0.00191833261 48.90 +2 370.1593 411.2781 0.00638975743 48.90 +4 370.1237 337.2097 0.00814499847 48.90 +5 370.0706 201.3174 0.00643303972 48.90 +6 370.0293 415.3827 0.00726780572 48.90 +1 369.9805 95.3241 0.00178016853 48.90 +2 369.9634 411.0866 0.00729273611 48.90 +4 369.939 337.064 0.00517687164 48.90 +5 369.8981 201.2538 0.0091834634 48.90 +6 369.8725 415.2328 0.00823747534 48.90 +1 341.2 91.4272 0.00191728975 53.60 +2 341.065 379.5929 0.00881413637 53.60 +4 340.9476 313.2171 0.00587443614 53.60 +5 340.8307 186.0619 0.0110203902 53.60 +6 340.7315 383.0718 0.00548962658 53.60 +1 340.6205 91.3547 0.00174957138 53.60 +2 340.5392 379.0176 0.0058278641 53.60 +4 340.4717 312.8105 0.00756736414 53.60 +5 340.3971 185.8325 0.00764362479 53.60 +6 340.3336 382.6207 0.004331397 53.60 +1 340.2524 91.2984 0.00289551377 53.60 +2 340.1975 378.6279 0.00523536054 53.60 +4 340.1488 312.5609 0.00852812992 53.60 +5 340.1029 185.6822 0.00700399886 53.60 +6 340.041 382.3106 0.00523870213 53.60 +1 313.2714 87.463 0.00269443872 58.80 +2 313.1402 349.1986 0.00992088706 58.80 +4 313.0084 289.9747 0.00705981586 58.80 +5 312.8931 171.509 0.00826559133 58.80 +6 312.7987 352.2853 0.00632305306 58.80 +1 312.6875 87.3738 0.00223964283 58.80 +2 312.5989 348.6111 0.00887744333 58.80 +4 312.5259 289.5821 0.00681535032 58.80 +5 312.4427 171.2608 0.00988008097 58.80 +6 312.3789 351.841 0.00829819257 58.80 +1 312.3058 87.3219 0.00270351623 58.80 +2 312.2478 348.2181 0.00920809427 58.80 +4 312.1894 289.3057 0.00986818119 58.80 +5 312.1318 171.1044 0.0106632078 58.80 +6 312.0853 351.5203 0.00479802043 58.80 +1 287.5015 83.6167 0.00182236111 64.50 +2 287.3812 321.1687 0.0111759116 64.50 +4 287.2496 268.3355 0.00752230018 64.50 +5 287.1451 158.1919 0.0241910934 64.50 +6 287.0485 323.9551 0.00726009642 64.50 +1 286.9301 83.5303 0.0019851952 64.50 +2 286.8446 320.5869 0.00969169748 64.50 +4 286.7615 267.9034 0.00628999205 64.50 +5 286.6935 157.9546 0.0326457348 64.50 +6 286.6338 323.4808 0.00811147336 64.50 +1 286.5379 83.4662 0.00203862699 64.50 +2 286.49 320.1982 0.00564588346 64.50 +4 286.431 267.6289 0.01097857 64.50 +5 286.3659 157.8232 0.0161825832 64.50 +6 286.3194 323.1536 0.00533704038 64.50 +1 264.0062 79.9294 0.00303380949 70.70 +2 263.8816 295.6183 0.0102587036 70.70 +4 263.761 248.3449 0.0114677374 70.70 +5 263.6465 145.9613 0.0218133216 70.70 +6 263.5578 298.0971 0.00927949352 70.70 +1 263.4272 79.8348 0.0020238577 70.70 +2 263.3551 295.0222 0.00589881344 70.70 +4 263.2639 247.92 0.00527636238 70.70 +5 263.1844 145.7734 0.0271688056 70.70 +6 263.1267 297.6154 0.00835487881 70.70 +1 263.0458 79.771 0.00282842712 70.70 +2 262.974 294.6344 0.00797144905 70.70 +4 262.9144 247.6397 0.00728017857 70.70 +5 262.8695 145.5398 0.0178077511 70.70 +6 262.8298 297.2937 0.00674247729 70.70 +1 242.1118 76.321 0.0031144823 77.50 +2 242.0112 271.788 0.00926066952 77.50 +4 241.8872 229.563 0.00457820926 77.50 +5 241.7881 134.6218 0.0270143665 77.50 +6 241.7027 274.0436 0.0080959249 77.50 +1 241.5918 76.2292 0.00264121184 77.50 +2 241.5142 271.2579 0.00703484186 77.50 +4 241.4375 229.1736 0.0066139247 77.50 +5 241.3738 134.4808 0.0192866793 77.50 +6 241.3079 273.6069 0.00874922854 77.50 +1 241.2186 76.1699 0.00268867997 77.50 +2 241.1594 270.881 0.00824378554 77.50 +4 241.1098 228.8628 0.00500159974 77.50 +5 241.0612 134.1819 0.026371367 77.50 +6 241.014 273.2693 0.0045366287 77.50 +1 221.8554 72.813 0.00224499443 85.00 +2 221.7333 249.7092 0.00707361294 85.00 +4 221.6159 211.9569 0.00648143503 85.00 +5 221.5209 124.1092 0.0177424914 85.00 +6 221.4371 251.729 0.0103720779 85.00 +1 221.3357 72.7215 0.00218746429 85.00 +2 221.2439 249.1956 0.00478581237 85.00 +4 221.1734 211.5915 0.00636592491 85.00 +5 221.1137 123.907 0.0260614658 85.00 +6 221.0515 251.2991 0.0073436367 85.00 +1 220.9731 72.6624 0.00208901891 85.00 +2 220.9215 248.8323 0.00954992147 85.00 +4 220.857 211.2895 0.00630277717 85.00 +5 220.8055 123.7169 0.0193728934 85.00 +6 220.7646 250.9722 0.00966933297 85.00 +1 203.1747 69.4137 0.00258089132 93.20 +2 203.0683 229.3744 0.00919478113 93.20 +4 202.9651 195.5747 0.00746598955 93.20 +5 202.8766 114.4851 0.0133240009 93.20 +6 202.7929 231.1578 0.00699685644 93.20 +1 202.7026 69.3294 0.00182866071 93.20 +2 202.6228 228.8558 0.00786485855 93.20 +4 202.542 195.21 0.00901665126 93.20 +5 202.4894 114.3116 0.0282762091 93.20 +6 202.4309 230.7399 0.00394829077 93.20 +1 202.3362 69.2608 0.00179332094 93.20 +2 202.2911 228.496 0.0104288063 93.20 +4 202.2376 194.9342 0.0102925216 93.20 +5 202.1957 114.094 0.0173476223 93.20 +6 202.1557 230.4428 0.00643397233 93.20 +1 186.144 66.1642 0.00174814187 102.00 +2 186.0466 210.7762 0.00885753916 102.00 +4 185.9606 180.5062 0.0044086279 102.00 +5 185.8901 105.6596 0.0156730342 102.00 +6 185.8011 212.392 0.00637965516 102.00 +1 185.7221 66.0753 0.0024861617 102.00 +2 185.6553 210.3123 0.00971807594 102.00 +4 185.5839 180.1745 0.00846079193 102.00 +5 185.5163 105.4609 0.0176286415 102.00 +6 185.4626 212.0169 0.00852578442 102.00 +1 185.3908 66.0166 0.00140854535 102.00 +2 185.3456 209.9918 0.00428205558 102.00 +4 185.3029 179.9113 0.00470329672 102.00 +5 185.2645 105.3134 0.0164737367 102.00 +6 185.2231 211.7332 0.00939659513 102.00 +1 170.0645 62.9313 0.00220476756 112.00 +2 169.9757 193.1547 0.00811671116 112.00 +4 169.875 166.1171 0.00712242936 112.00 +5 169.7869 97.2324 0.0274769722 112.00 +6 169.725 194.6248 0.0155812708 112.00 +1 169.6326 62.8433 0.00230672929 112.00 +2 169.5687 192.7028 0.00588523576 112.00 +4 169.5168 165.762 0.00849941174 112.00 +5 169.445 97.1176 0.0188802542 112.00 +6 169.3714 194.238 0.00686440092 112.00 +1 169.3127 62.7835 0.00260480326 112.00 +2 169.2719 192.3826 0.00399048869 112.00 +4 169.2214 165.5149 0.00538785672 112.00 +5 169.1779 96.9867 0.0100020498 112.00 +6 169.132 193.9639 0.00754645612 112.00 +1 154.9338 59.7556 0.00242156974 123.00 +2 154.854 176.649 0.0137971011 123.00 +4 154.7851 152.4615 0.00312809846 123.00 +5 154.7201 89.4848 0.00948451369 123.00 +6 154.649 177.9984 0.0089500838 123.00 +1 154.5683 59.6772 0.00154790181 123.00 +2 154.5113 176.2634 0.00871114229 123.00 +4 154.4593 152.1639 0.00323558341 123.00 +5 154.4099 89.3238 0.0241953715 123.00 +6 154.3548 177.655 0.0114873844 123.00 +1 154.2959 59.6202 0.00193804025 123.00 +2 154.2534 175.9845 0.00563071931 123.00 +4 154.2178 151.9436 0.00249879971 123.00 +5 154.1816 89.2345 0.0107081744 123.00 +6 154.1378 177.418 0.00965608616 123.00 +1 141.2717 56.7247 0.00278585714 135.00 +2 141.1966 161.6368 0.00683198361 135.00 +4 141.1303 139.9986 0.00299399399 135.00 +5 141.0674 170.9105 0.00989267406 135.00 +6 141.0054 162.8231 0.00602071424 135.00 +1 140.9324 56.6439 0.00201221271 135.00 +2 140.8755 161.2631 0.00989085436 135.00 +4 140.8314 139.7143 0.00367980978 135.00 +5 140.7849 170.5659 0.00865268744 135.00 +6 140.7267 162.5249 0.0102571439 135.00 +1 140.6751 56.5803 0.0031434058 135.00 +2 140.6339 161.006 0.00831865374 135.00 +4 140.5998 139.5063 0.00259248915 135.00 +5 140.5638 170.3103 0.00487862686 135.00 +6 140.5262 162.2946 0.0111276233 135.00 +1 128.8927 53.8301 0.00354809808 148.00 +2 128.8256 147.9146 0.00362270617 148.00 +4 128.7652 128.593 0.0036138622 148.00 +5 128.7029 156.2468 0.00367913033 148.00 +6 128.6455 149.0024 0.0026540535 148.00 +1 128.5708 53.749 0.00343511281 148.00 +2 128.5202 147.5741 0.00330590381 148.00 +4 128.4698 128.319 0.0021023796 148.00 +5 128.4239 155.9205 0.00182893412 148.00 +6 128.3834 148.7106 0.00355021126 148.00 +1 128.3228 53.6963 0.00392950379 148.00 +2 128.2881 147.3176 0.00230304147 148.00 +4 128.2556 128.1234 0.00260844781 148.00 +5 128.2193 155.6827 0.00322815737 148.00 +6 128.1874 148.4948 0.00168997041 148.00 +1 117.6341 51.0695 0.00360901649 162.00 +2 117.5703 135.468 0.00384967531 162.00 +4 117.5125 118.1342 0.0031962478 162.00 +5 117.4561 142.9589 0.00311592683 162.00 +6 117.405 136.4579 0.00253948814 162.00 +1 117.3323 50.9931 0.00180803761 162.00 +2 117.2764 135.1296 0.00386574702 162.00 +4 117.2251 117.8655 0.00188281704 162.00 +5 117.1837 142.6342 0.00329484446 162.00 +6 117.1462 136.1738 0.00259923066 162.00 +1 117.0955 50.9372 0.00269369635 162.00 +2 117.0633 134.9077 0.00274244417 162.00 +4 117.0334 117.6926 0.00252665787 162.00 +5 117.0038 142.4359 0.0022558812 162.00 +6 116.9793 135.9838 0.00277416654 162.00 +1 106.8565 48.27042 0.00105278678 178.00 +2 106.8007 123.5144 0.0040303846 178.00 +4 106.7398 108.0353 0.00309531905 178.00 +5 106.6951 130.2232 0.00309774111 178.00 +6 106.6515 124.424 0.00318433667 178.00 +1 106.5899 48.20274 0.000973570747 178.00 +2 106.5542 123.2504 0.00237571042 178.00 +4 106.5201 107.8241 0.0015195394 178.00 +5 106.4856 129.9709 0.00162757488 178.00 +6 106.4501 124.1992 0.00216240607 178.00 +1 106.4086 48.15557 0.000922176773 178.00 +2 106.3799 123.0563 0.00273879536 178.00 +4 106.3446 107.6666 0.00151129084 178.00 +5 106.3233 129.7808 0.00254086599 178.00 +6 106.2979 124.034 0.00227596134 178.00 +1 97.3799 45.71292 0.00100227741 195.00 +2 97.3286 112.9785 0.00290258505 195.00 +4 97.28 99.0845 0.00258940148 195.00 +5 97.2365 119.0024 0.00288166618 195.00 +6 97.1926 113.8107 0.00298680431 195.00 +1 97.1406 45.64793 0.000829463682 195.00 +2 97.1041 112.7314 0.00198090888 195.00 +4 97.0703 98.8877 0.00319390044 195.00 +5 97.036 118.7675 0.00182345825 195.00 +6 97.0013 113.5998 0.0026487733 195.00 +1 96.9604 45.60092 0.000669746221 195.00 +2 96.9399 112.5483 0.0023283041 195.00 +4 96.9118 98.7431 0.00163370744 195.00 +5 96.8887 118.5919 0.0028929224 195.00 +6 96.8696 113.4435 0.00258166613 195.00 +1 88.5843 43.22631 0.000573837956 214.00 +2 88.5333 103.1713 0.00383418831 214.00 +4 88.4882 90.7103 0.00342651426 214.00 +5 88.4496 108.558 0.00483114893 214.00 +6 88.4124 103.9302 0.00288374756 214.00 +1 88.3627 43.16305 0.000691122276 214.00 +2 88.3267 102.9405 0.0027358728 214.00 +4 88.2935 90.5304 0.0022592034 214.00 +5 88.267 108.351 0.00250998008 214.00 +6 88.2383 103.7365 0.00326266762 214.00 +1 88.2015 43.11612 0.000694377419 214.00 +2 88.1772 102.7779 0.00301147804 214.00 +4 88.1543 90.3949 0.00251575039 214.00 +5 88.1337 108.1973 0.00177792013 214.00 +6 88.1116 103.6004 0.00257371327 214.00 +1 80.8615 40.94189 0.000787965735 234.00 +2 80.8179 94.5332 0.00380473389 234.00 +4 80.7792 83.3039 0.00131491445 234.00 +5 80.7438 99.3853 0.00172075565 234.00 +6 80.7081 95.2393 0.00289153938 234.00 +1 80.6743 40.88662 0.000730588804 234.00 +2 80.6442 94.339 0.00405462699 234.00 +4 80.6138 83.1466 0.00217347648 234.00 +5 80.5903 99.1999 0.00357896633 234.00 +6 80.5658 95.0744 0.00202089089 234.00 +1 80.5342 40.84501 0.000591684037 234.00 +2 80.5161 94.1925 0.00198116128 234.00 +4 80.4994 83.0307 0.00234115356 234.00 +5 80.4793 99.0692 0.00277776889 234.00 +6 80.4593 94.9558 0.00249719843 234.00 +1 73.6065 38.70428 0.0011180161 257.00 +2 73.5742 86.3932 0.00339057517 257.00 +4 73.5355 76.2932 0.00334604244 257.00 +5 73.503 90.7413 0.00311785182 257.00 +6 73.4782 87.0491 0.00305761345 257.00 +1 73.4399 38.65169 0.0007850414 257.00 +2 73.4117 86.2097 0.00199022612 257.00 +4 73.3866 76.1473 0.00268346791 257.00 +5 73.368 90.5792 0.00165408585 257.00 +6 73.3427 86.8984 0.00183956517 257.00 +1 73.3152 38.6116 0.000766681159 257.00 +2 73.2989 86.0813 0.00339131243 257.00 +4 73.2796 76.0459 0.00260940606 257.00 +5 73.2576 90.4551 0.00261705942 257.00 +6 73.2411 86.7912 0.00191728975 257.00 +1 65.7571 36.16618 0.000590050845 288.00 +2 65.7259 77.5455 0.00297405447 288.00 +4 65.6972 68.6403 0.00317505905 288.00 +5 65.6705 81.3573 0.00203002463 288.00 +6 65.6412 78.15 0.00296984848 288.00 +1 65.6085 36.11434 0.000860604439 288.00 +2 65.5871 77.3821 0.00153915561 288.00 +4 65.5651 68.5067 0.00236664319 288.00 +5 65.544 81.2136 0.00253061257 288.00 +6 65.5242 78.0167 0.00275336158 288.00 +1 65.4984 36.08061 0.00112057574 288.00 +2 65.483 77.2736 0.00340646444 288.00 +4 65.4661 68.4196 0.00206009709 288.00 +5 65.4556 81.1004 0.00320062494 288.00 +6 65.4404 77.922 0.00291204396 288.00 +1 62.6951 35.13674 0.000764748325 302.00 +2 62.6661 74.0745 0.00186681547 302.00 +4 62.6332 65.6304 0.00181769084 302.00 +5 62.6056 77.6806 0.00232465051 302.00 +6 62.5828 74.6623 0.00250619233 302.00 +1 62.5519 35.08968 0.00097537685 302.00 +2 62.5315 73.9313 0.00234968083 302.00 +4 62.5152 65.5081 0.00190499344 302.00 +5 62.4943 77.5486 0.00339470175 302.00 +6 62.4777 74.5537 0.00297001683 302.00 +1 62.4594 35.05735 0.000551225907 302.00 +2 62.443 73.8283 0.00220022726 302.00 +4 62.4288 65.4323 0.00308236922 302.00 +5 62.4204 77.4605 0.00167481342 302.00 +6 62.41 74.4634 0.00242569578 302.00 +1 61.0598 34.57945 0.000720728798 310.00 +2 61.0274 72.2225 0.00309919344 310.00 +4 60.9981 64.0196 0.00235881326 310.00 +5 60.9732 75.7249 0.00283354901 310.00 +6 60.9496 72.8123 0.00340014706 310.00 +1 60.9261 34.53492 0.00120181529 310.00 +2 60.905 72.0889 0.00259403161 310.00 +4 60.8882 63.911 0.00293257566 310.00 +5 60.8736 75.6053 0.00243741667 310.00 +6 60.8586 72.6929 0.00183002732 310.00 +1 60.8456 34.50514 0.000837042412 310.00 +2 60.831 72.0002 0.00232723011 310.00 +4 60.8183 63.8363 0.00217738375 310.00 +5 60.8054 75.5125 0.00263153947 310.00 +6 60.7938 72.6212 0.00120664825 310.00 diff --git a/calib_data/_calib_data/calib_2024-12-12.txt b/calib_data/_calib_data/calib_2024-12-12.txt new file mode 100644 index 0000000..123b3c0 --- /dev/null +++ b/calib_data/_calib_data/calib_2024-12-12.txt @@ -0,0 +1,902 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 18348.03 19541.71 1.97420617 1.57 +2 18346.94 20298.94 2.28649076 1.57 +4 18347.44 10735.44 0.900466546 1.57 +5 18353.22 23133.47 1.15629149 1.57 +6 18354.2 10504.74 0.62260742 1.57 +1 18351.45 19545.33 1.93153048 1.57 +2 18351.94 20301.35 1.95791981 1.57 +4 18351.29 10735.5 0.774467559 1.57 +5 18351.36 23138.41 2.2650585 1.57 +6 18354.37 10509.04 0.746886872 1.57 +1 18352.44 19559.92 2.43564365 1.57 +2 18357.32 20310.58 1.89988421 1.57 +4 18365.13 10742.88 1.17811714 1.57 +5 18367.18 23155.87 2.59653808 1.57 +6 18369.52 10516.44 0.700171408 1.57 +1 16020.73 17117.19 1.2763581 1.62 +2 16016.51 17786.13 1.56454786 1.62 +4 16015.19 9530.27 0.5122597 1.62 +5 16012.25 20188.7 2.39415956 1.62 +6 16007.93 9363.25 1.32538674 1.62 +1 16004.04 17107.16 1.94176209 1.62 +2 16005.95 17766.05 2.44181285 1.62 +4 16001.43 9519.93 0.576203089 1.62 +5 15997.56 20176.32 1.6853961 1.62 +6 16000.05 9363.65 0.470159547 1.62 +1 16004.78 17099.17 1.17847783 1.62 +2 16004.25 17762.86 1.28733834 1.62 +4 16003.74 9526.6 0.585320425 1.62 +5 16000.33 20173.58 1.41518903 1.62 +6 15999.62 9365.11 0.8566738 1.62 +1 13213.81 14173.96 0.980938326 1.78 +2 13211.87 14733.48 1.46777382 1.78 +4 13208.68 8043.85 0.521008637 1.78 +5 13206.62 16650.07 1.85688179 1.78 +6 13206.8 7960.81 0.778132379 1.78 +1 13205.89 14159.03 1.17184043 1.78 +2 13201.07 14717.45 1.51916095 1.78 +4 13196.58 8036.96 0.437995434 1.78 +5 13195.62 16633.4 1.19239255 1.78 +6 13197.11 7955.55 0.642222703 1.78 +1 13191.43 14152.44 0.75989473 1.78 +2 13191.64 14711.22 0.744150522 1.78 +4 13194.81 8030.58 0.482866441 1.78 +5 13189.4 16617.35 1.8650067 1.78 +6 13186.03 7951.96 0.629952379 1.78 +1 11227.85 12080.16 0.953016264 1.95 +2 11226.83 12565.19 1.30003461 1.95 +4 11228.18 6966.3 0.433820239 1.95 +5 11227.44 14140.16 1.40293977 1.95 +6 11222.83 6939.85 0.449499722 1.95 +1 11220.16 12075.85 0.994308805 1.95 +2 11219.87 12558.53 1.12597069 1.95 +4 11218.31 6963.49 0.645360364 1.95 +5 11218.31 14131.2 1.00468901 1.95 +6 11218.86 6938.58 0.378364903 1.95 +1 11217.74 12063.84 0.899132916 1.95 +2 11216.22 12555.94 1.00171852 1.95 +4 11215.75 6961.74 0.710943036 1.95 +5 11214.77 14125.13 1.27106648 1.95 +6 11214.63 6935.06 0.658513477 1.95 +1 9601.96 10359.71 1.07354087 2.14 +2 9601.97 10782.3 1.19899958 2.14 +4 9601 6069.41 0.604061255 2.14 +5 9599.21 12087.5 1.6810116 2.14 +6 9599.98 6079.73 0.421912313 2.14 +1 9600.89 10357.04 1.28873581 2.14 +2 9600.79 10781.46 1.36720152 2.14 +4 9596.93 6069.63 0.391675886 2.14 +5 9593.99 12082.51 1.54527991 2.14 +6 9595.85 6078.42 0.526839634 2.14 +1 9593.75 10352.94 0.953960167 2.14 +2 9593.88 10775.85 1.11456269 2.14 +4 9592.7 6065.86 0.693858775 2.14 +5 9590.92 12072.9 0.582237065 2.14 +6 9591.2 6075.94 0.551035389 2.14 +1 8289.88 8963.98 0.31394267 2.34 +2 8290.13 9339.99 0.29238673 2.34 +4 8289.11 5334.52 0.306528955 2.34 +5 8288.14 10430.94 0.486456576 2.34 +6 8288.09 5367.63 0.349871405 2.34 +1 8287.88 8962.06 0.339764624 2.34 +2 8288.62 9337.28 0.28135387 2.34 +4 8287.62 5333.33 0.18817545 2.34 +5 8287.48 10427.82 0.52721912 2.34 +6 8287.34 5367.4 0.258843582 2.34 +1 8286.36 8961.17 0.293955779 2.34 +2 8286.59 9335 0.368239053 2.34 +4 8286.4 5332.19 0.290327401 2.34 +5 8285.79 10425.54 0.284675254 2.34 +6 8284.58 5365.49 0.188387898 2.34 +1 7147.01 7743 0.247386338 2.57 +2 7146.12 8073.32 0.192769292 2.57 +4 7145.86 4679.489 0.0833360666 2.57 +5 7146.1 8983.56 0.26046113 2.57 +6 7145.93 4730.241 0.108861839 2.57 +1 7144.6 7741.27 0.24861617 2.57 +2 7145.11 8073.04 0.215034881 2.57 +4 7145.2 4679.151 0.0909884608 2.57 +5 7144.31 8981.84 0.101192885 2.57 +6 7143.32 4728.67 0.10198039 2.57 +1 7142.23 7737.95 0.152479507 2.57 +2 7142.83 8069.15 0.189868375 2.57 +4 7142.99 4678.455 0.108252021 2.57 +5 7142.63 8979.72 0.248112878 2.57 +6 7142.63 4727.892 0.124874337 2.57 +1 6221.25 6750.03 0.224521714 2.82 +2 6220.85 7044.66 0.128218563 2.82 +4 6220.58 4142.415 0.100630512 2.82 +5 6220.62 7813.39 0.203690942 2.82 +6 6220.3 4202.127 0.0979801 2.82 +1 6219.11 6747.97 0.202014851 2.82 +2 6218.99 7042.46 0.263134946 2.82 +4 6219.65 4141.747 0.127122382 2.82 +5 6219.78 7811.49 0.227793766 2.82 +6 6219.2 4201.297 0.0683234952 2.82 +1 6218.71 6747.26 0.278639552 2.82 +2 6219.05 7042.51 0.267001873 2.82 +4 6219.09 4141.513 0.0529159711 2.82 +5 6218.89 7810.7 0.208326667 2.82 +6 6218.37 4200.823 0.119950406 2.82 +1 5442.66 5910.67 0.250619233 3.09 +2 5441.65 6174.89 0.306740933 3.09 +4 5441.29 3682.756 0.0655164102 3.09 +5 5440.68 6826.11 0.250778787 3.09 +6 5440.8 3747.293 0.0942448938 3.09 +1 5439.48 5908.19 0.251575039 3.09 +2 5439.56 6173 0.225831796 3.09 +4 5440.09 3682.144 0.0939595658 3.09 +5 5440.13 6824.33 0.219111844 3.09 +6 5439.38 3746.494 0.0576576101 3.09 +1 5438.94 5907.31 0.153264477 3.09 +2 5438.8 6172.71 0.194653538 3.09 +4 5439.1 3681.108 0.106158372 3.09 +5 5438.55 6823.5 0.26 3.09 +6 5438.06 3745.144 0.0954798408 3.09 +1 4790.663 5207.84 0.301396748 3.38 +2 4789.847 5445.77 0.321263132 3.38 +4 4789.645 3293.657 0.0812163777 3.38 +5 4789.472 6002.54 0.228997817 3.38 +6 4789.153 3359.29 0.0733757453 3.38 +1 4788.884 5205.75 0.295719462 3.38 +2 4788.724 5445.14 0.267282622 3.38 +4 4788.662 3292.958 0.0750306604 3.38 +5 4788.891 6002.24 0.201593651 3.38 +6 4788.854 3359.081 0.0646289409 3.38 +1 4788.434 5205.61 0.150632002 3.38 +2 4788.02 5443.9 0.148996644 3.38 +4 4787.738 3292.426 0.0541331691 3.38 +5 4787.825 6000.37 0.179471446 3.38 +6 4787.832 3358.338 0.106843811 3.38 +1 4219.835 4585.926 0.0572573139 3.71 +2 4219.575 4801.996 0.0694146959 3.71 +4 4219.187 2946.53 0.0550999093 3.71 +5 4218.864 5279.13 0.360846228 3.71 +6 4218.691 3011.45 0.0842733647 3.71 +1 4218.652 4584.972 0.0662238628 3.71 +2 4218.417 4800.803 0.083582893 3.71 +4 4218.206 2945.941 0.058965244 3.71 +5 4218.315 5278.53 0.236664319 3.71 +6 4218.385 3011.169 0.0954824591 3.71 +1 4218.024 4584.175 0.0687931683 3.71 +2 4217.843 4799.751 0.0812582304 3.71 +4 4217.475 2945.396 0.0997316399 3.71 +5 4217.022 5276.29 0.200723691 3.71 +6 4216.951 3010.086 0.0614198665 3.71 +1 3752.418 4076.745 0.0559687413 4.07 +2 3752.076 4273.319 0.100094455 4.07 +4 3751.525 2657.94 0.0670074623 4.07 +5 3751.233 4682.948 0.0688302259 4.07 +6 3750.814 2719.929 0.0582829306 4.07 +1 3750.76 4074.979 0.0691006512 4.07 +2 3750.609 4271.673 0.0800381159 4.07 +4 3750.275 2657.236 0.0662449998 4.07 +5 3749.97 4681.717 0.0647000773 4.07 +6 3749.668 2719.183 0.0598172216 4.07 +1 3749.532 4073.678 0.0799849986 4.07 +2 3749.41 4270.321 0.0684024853 4.07 +4 3749.23 2656.62 0.107582526 4.07 +5 3749.031 4680.485 0.0779775609 4.07 +6 3748.814 2718.758 0.0928310293 4.07 +1 3362.297 3650.303 0.0747402168 4.46 +2 3362.088 3830.701 0.0541377872 4.46 +4 3361.764 2413.829 0.0437138422 4.46 +5 3361.499 4187.832 0.0818144242 4.46 +6 3361.342 2472.757 0.101351369 4.46 +1 3360.946 3648.681 0.061570285 4.46 +2 3360.862 3829.41 0.0883742044 4.46 +4 3360.765 2413.221 0.0811473968 4.46 +5 3360.806 4187.144 0.0641435889 4.46 +6 3360.567 2472.38 0.0585662019 4.46 +1 3360.272 3648.017 0.0495186833 4.46 +2 3360.141 3828.91 0.0644515322 4.46 +4 3359.951 2412.755 0.0844304447 4.46 +5 3359.879 4186.355 0.0702032763 4.46 +6 3359.828 2472.144 0.0812551537 4.46 +1 3030.269 3286.006 0.0768400937 4.89 +2 3029.934 3452.433 0.0661369791 4.89 +4 3029.432 2202.872 0.0530622276 4.89 +5 3029.103 3765.593 0.0683527615 4.89 +6 3028.915 2258.147 0.0655293827 4.89 +1 3028.846 3284.523 0.101578049 4.89 +2 3028.853 3451.306 0.081292066 4.89 +4 3028.543 2202.465 0.0792496057 4.89 +5 3028.421 3764.751 0.0590330416 4.89 +6 3028.283 2257.758 0.0744687854 4.89 +1 3028.052 3283.89 0.0591607978 4.89 +2 3028.115 3450.643 0.0977348454 4.89 +4 3027.948 2201.882 0.066660333 4.89 +5 3027.907 3763.884 0.0706286061 4.89 +6 3027.767 2257.31 0.114052619 4.89 +1 2744.021 2971.42 0.0721664742 5.36 +2 2743.695 3125.444 0.0869620607 5.36 +4 2743.389 2018.96 0.0677642974 5.36 +5 2743.008 3401.642 0.0692502708 5.36 +6 2742.626 2070.142 0.0751638211 5.36 +1 2742.71 2970.095 0.0637220527 5.36 +2 2742.598 3124.271 0.0839696374 5.36 +4 2742.556 2018.474 0.0674566527 5.36 +5 2742.461 3400.568 0.103564473 5.36 +6 2742.062 2069.688 0.0664499812 5.36 +1 2741.942 2969.225 0.0511321816 5.36 +2 2741.876 3123.613 0.0922393625 5.36 +4 2741.611 2018.06 0.0761051904 5.36 +5 2741.481 3399.861 0.0762948229 5.36 +6 2741.546 2069.378 0.0646343562 5.36 +1 2491.94 2693.912 0.049614514 5.88 +2 2491.683 2836.905 0.0684434073 5.88 +4 2491.23 1855.196 0.0692560467 5.88 +5 2491.04 3080.969 0.0819322891 5.88 +6 2490.978 1902.191 0.0765826351 5.88 +1 2490.709 2692.472 0.0901975609 5.88 +2 2490.689 2835.791 0.0745312015 5.88 +4 2490.429 1854.986 0.0750759615 5.88 +5 2490.264 3080.196 0.0816725168 5.88 +6 2489.984 1901.536 0.0780153831 5.88 +1 2490.098 2691.721 0.045966292 5.88 +2 2490.206 2835.21 0.0684689711 5.88 +4 2490.063 1854.461 0.0665950449 5.88 +5 2489.961 3079.573 0.0589414964 5.88 +6 2489.868 1901.269 0.0582142594 5.88 +1 2268.612 2447.382 0.0697538529 6.45 +2 2268.353 2580.734 0.0690101442 6.45 +4 2268.074 1708.548 0.0355752723 6.45 +5 2267.787 2796.961 0.0548898898 6.45 +6 2267.768 1750.835 0.0533338542 6.45 +1 2267.579 2445.923 0.0657274676 6.45 +2 2267.402 2579.564 0.0565720779 6.45 +4 2267.249 1708.042 0.0962579867 6.45 +5 2267.163 2796.095 0.0656848537 6.45 +6 2267.13 1750.469 0.0495671262 6.45 +1 2267.026 2445.526 0.056217435 6.45 +2 2266.884 2578.831 0.0756894973 6.45 +4 2266.722 1707.676 0.0756994055 6.45 +5 2266.593 2795.515 0.0473761543 6.45 +6 2266.325 1750.212 0.0465360076 6.45 +1 2071.218 2229.076 0.072113799 7.07 +2 2070.906 2353.531 0.0735452242 7.07 +4 2070.926 1576.781 0.0295110149 7.07 +5 2070.869 2546.07 0.0483321839 7.07 +6 2070.407 1615.301 0.0660371108 7.07 +1 2070.201 2227.934 0.063924956 7.07 +2 2070.122 2352.421 0.0775299942 7.07 +4 2069.962 1576.265 0.025029982 7.07 +5 2070.058 2545.425 0.101284253 7.07 +6 2069.924 1614.635 0.0791233215 7.07 +1 2069.513 2227.287 0.0960109369 7.07 +2 2069.477 2352.029 0.0588294144 7.07 +4 2069.548 1575.987 0.0153003268 7.07 +5 2069.449 2544.593 0.0652694415 7.07 +6 2069.273 1614.493 0.0531234412 7.07 +1 1895.284 2034.654 0.0640499805 7.75 +2 1895.216 2151.093 0.0524223235 7.75 +4 1895.277 1458.796 0.0249078301 7.75 +5 1895.05 2322.886 0.0768010417 7.75 +6 1894.778 1492.24 0.0259229628 7.75 +1 1894.421 2033.369 0.0784786595 7.75 +2 1894.337 2150.117 0.0860935538 7.75 +4 1894.475 1458.258 0.0361330873 7.75 +5 1894.488 2321.862 0.0610376933 7.75 +6 1894.334 1491.927 0.0361676651 7.75 +1 1894.035 2032.942 0.0884058822 7.75 +2 1893.901 2149.641 0.0868268392 7.75 +4 1893.975 1458.053 0.0156236999 7.75 +5 1893.935 2321.373 0.074780345 7.75 +6 1893.864 1491.591 0.0301147804 7.75 +1 1737.981 1860.194 0.0376881944 8.50 +2 1737.678 1969.159 0.066294042 8.50 +4 1737.516 1351.841 0.0357057418 8.50 +5 1737.482 2122.763 0.0636089616 8.50 +6 1737.459 1381.171 0.0290671636 8.50 +1 1737.166 1859.243 0.0680595328 8.50 +2 1736.996 1968.36 0.0501796772 8.50 +4 1737.012 1351.428 0.0214848784 8.50 +5 1736.888 2122.044 0.0437309959 8.50 +6 1736.718 1380.76 0.0391663121 8.50 +1 1736.712 1858.623 0.0642347258 8.50 +2 1736.601 1967.928 0.0602129554 8.50 +4 1736.622 1351.134 0.0313432608 8.50 +5 1736.671 2121.501 0.0898493183 8.50 +6 1736.56 1380.537 0.0334678951 8.50 +1 1596.13 1703.038 0.0889696577 9.32 +2 1595.797 1805.383 0.0653766013 9.32 +4 1595.695 1254.489 0.0260173019 9.32 +5 1595.572 1942.623 0.056745925 9.32 +6 1595.459 1279.822 0.0472398137 9.32 +1 1595.218 1702.18 0.0674981481 9.32 +2 1595.192 1804.763 0.0764467135 9.32 +4 1595.171 1254.103 0.0269091063 9.32 +5 1594.984 1941.929 0.100989603 9.32 +6 1595.1 1279.515 0.0279732015 9.32 +1 1594.773 1701.633 0.0447671755 9.32 +2 1594.773 1804.162 0.0835918656 9.32 +4 1594.763 1253.881 0.0173464694 9.32 +5 1594.696 1941.619 0.0684463293 9.32 +6 1594.826 1279.256 0.0346756399 9.32 +1 1469.408 1563.049 0.0305434117 10.20 +2 1469.169 1659.968 0.0437675679 10.20 +4 1469.024 1167.21 0.0167928556 10.20 +5 1468.903 1782.999 0.100353874 10.20 +6 1468.8 1188.724 0.0216887067 10.20 +1 1468.704 1562.145 0.0223718573 10.20 +2 1468.616 1659.364 0.0740702369 10.20 +4 1468.521 1166.855 0.0231624696 10.20 +5 1468.423 1782.428 0.119589297 10.20 +6 1468.379 1188.43 0.0221359436 10.20 +1 1468.294 1561.821 0.0240187427 10.20 +2 1468.248 1658.765 0.0637377439 10.20 +4 1468.182 1166.575 0.0144395291 10.20 +5 1468.125 1781.943 0.0556246348 10.20 +6 1468.164 1188.291 0.0134499071 10.20 +1 1351.237 1432.466 0.0175042852 11.20 +2 1351.058 1522.829 0.0287906235 11.20 +4 1350.816 1084.433 0.0160031247 11.20 +5 1350.654 1633.664 0.0996915242 11.20 +6 1350.563 1102.369 0.0179694185 11.20 +1 1350.508 1431.566 0.0293666477 11.20 +2 1350.378 1522.071 0.0245540221 11.20 +4 1350.234 1083.979 0.0229543024 11.20 +5 1350.12 1633.202 0.0528734338 11.20 +6 1350.055 1101.939 0.0230412673 11.20 +1 1349.979 1431.04 0.020880613 11.20 +2 1349.991 1521.589 0.0301147804 11.20 +4 1349.942 1083.733 0.00949210198 11.20 +5 1349.765 1632.697 0.0980209161 11.20 +6 1349.678 1101.696 0.0188255146 11.20 +1 1243.531 1313.685 0.0282577423 12.30 +2 1243.375 1398.573 0.0194447936 12.30 +4 1243.235 1008.337 0.0197509493 12.30 +5 1243.139 1497.541 0.0231711027 12.30 +6 1242.959 1022.892 0.0294210809 12.30 +1 1242.77 1312.843 0.0213564978 12.30 +2 1242.712 1397.953 0.0230672929 12.30 +4 1242.705 1007.988 0.031931176 12.30 +5 1242.695 1496.965 0.0319765539 12.30 +6 1242.621 1022.621 0.0129961533 12.30 +1 1242.497 1312.545 0.0224165118 12.30 +2 1242.464 1397.551 0.0205158475 12.30 +4 1242.331 1007.691 0.0306088223 12.30 +5 1242.326 1496.429 0.0193106188 12.30 +6 1242.246 1022.351 0.022020445 12.30 +1 1146.503 1206.868 0.0205329004 13.50 +2 1146.293 1286.898 0.02252998 13.50 +4 1146.123 938.997 0.0182784026 13.50 +5 1146.067 1375.621 0.0134499071 13.50 +6 1145.999 950.624 0.0160124951 13.50 +1 1145.804 1206.154 0.0184499322 13.50 +2 1145.723 1286.245 0.0267301328 13.50 +4 1145.655 938.596 0.0224142812 13.50 +5 1145.581 1375.075 0.0281868764 13.50 +6 1145.506 950.301 0.0400112484 13.50 +1 1145.449 1205.711 0.0106254412 13.50 +2 1145.422 1285.886 0.0226362541 13.50 +4 1145.347 938.394 0.0244622158 13.50 +5 1145.304 1374.678 0.0288721319 13.50 +6 1145.286 950.086 0.035810613 13.50 +1 1058.338 1110.289 0.0128413395 14.80 +2 1058.187 1185.664 0.0244622158 14.80 +4 1058.053 875.333 0.0183330303 14.80 +5 1057.916 1265.422 0.0207267943 14.80 +6 1057.796 884.376 0.0300399734 14.80 +1 1057.695 1109.591 0.03103063 14.80 +2 1057.627 1185.025 0.0288530761 14.80 +4 1057.581 874.998 0.0224410338 14.80 +5 1057.543 1264.877 0.0151029798 14.80 +6 1057.455 884.056 0.0204058815 14.80 +1 1057.396 1109.21 0.0207846097 14.80 +2 1057.337 1184.651 0.0258244071 14.80 +4 1057.248 874.764 0.027466343 14.80 +5 1057.157 1264.561 0.0223360695 14.80 +6 1057.126 883.891 0.0253554728 14.80 +1 978.811 1023.415 0.0270277635 16.20 +2 978.652 1094.516 0.0199599599 16.20 +4 978.539 817.368 0.0171930218 16.20 +5 978.448 1166.467 0.0227618101 16.20 +6 978.34 824.079 0.0254342289 16.20 +1 978.22 1022.714 0.0213166602 16.20 +2 978.11 1093.917 0.0205450724 16.20 +4 978.047 817.001 0.0191023559 16.20 +5 978.032 1166.007 0.0235393288 16.20 +6 978.001 823.851 0.0216540989 16.20 +1 977.899 1022.369 0.023641066 16.20 +2 977.843 1093.528 0.0186440339 16.20 +4 977.777 816.821 0.0194653538 16.20 +5 977.745 1165.565 0.016507574 16.20 +6 977.668 823.605 0.0197610728 16.20 +1 902.55 940.417 0.0158776573 17.80 +2 902.421 1007.349 0.0280517379 17.80 +4 902.236 761.102 0.0211565593 17.80 +5 902.133 1071.939 0.0149966663 17.80 +6 902.047 765.821 0.0161523992 17.80 +1 901.882 939.821 0.0240603408 17.80 +2 901.882 1006.807 0.0298680431 17.80 +4 901.782 760.767 0.0233687826 17.80 +5 901.717 1071.455 0.0272855273 17.80 +6 901.661 765.557 0.014003571 17.80 +1 901.615 939.414 0.020356817 17.80 +2 901.562 1006.394 0.0254243977 17.80 +4 901.476 760.543 0.0250619233 17.80 +5 901.46 1071.137 0.0225410736 17.80 +6 901.391 765.293 0.0197509493 17.80 +1 834.4 866.618 0.0173666347 19.50 +2 834.257 929.821 0.0236833275 19.50 +4 834.092 710.361 0.034159918 19.50 +5 834.009 988.034 0.0251077677 19.50 +6 833.924 713.374 0.0277200289 19.50 +1 833.849 866.103 0.0137876757 19.50 +2 833.77 929.305 0.0357561184 19.50 +4 833.718 710.043 0.0291221565 19.50 +5 833.627 987.592 0.0219909072 19.50 +6 833.508 713.024 0.0229434086 19.50 +1 833.507 865.694 0.0183956517 19.50 +2 833.524 928.875 0.0157003185 19.50 +4 833.403 709.78 0.0266833281 19.50 +5 833.336 987.131 0.0260940606 19.50 +6 833.282 712.893 0.0214499417 19.50 +1 770.001 797.424 0.0219180291 21.40 +2 769.897 856.916 0.0176181724 21.40 +4 769.763 661.87 0.0364417343 21.40 +5 769.688 909.216 0.0196570598 21.40 +6 769.588 663.453 0.0154951605 21.40 +1 769.485 796.828 0.0232723011 21.40 +2 769.448 856.334 0.0237991596 21.40 +4 769.38 661.587 0.0164347193 21.40 +5 769.281 908.738 0.0200897984 21.40 +6 769.205 663.231 0.0202212759 21.40 +1 769.136 796.577 0.0104928547 21.40 +2 769.152 856.015 0.0290602822 21.40 +4 769.072 661.35 0.0282488938 21.40 +5 769.025 908.388 0.0227508242 21.40 +6 769.013 663.047 0.0192379833 21.40 +1 712.759 736.111 0.021234406 23.40 +2 712.618 792.239 0.0301147804 23.40 +4 712.516 618.237 0.028286039 23.40 +5 712.437 839.446 0.0195550505 23.40 +6 712.326 618.818 0.0130230565 23.40 +1 712.237 735.573 0.0218197159 23.40 +2 712.174 791.715 0.0341247711 23.40 +4 712.124 617.954 0.0144360659 23.40 +5 712.069 839.015 0.0221020361 23.40 +6 711.959 618.509 0.0294091822 23.40 +1 711.92 735.281 0.0245132617 23.40 +2 711.902 791.391 0.0221562632 23.40 +4 711.844 617.759 0.0174040225 23.40 +5 711.79 838.689 0.0248777009 23.40 +6 711.731 618.309 0.0257856549 23.40 +1 657.069 676.867 0.030101495 25.70 +2 656.893 729.53 0.0241660919 25.70 +4 656.776 575.301 0.0241018671 25.70 +5 656.672 771.949 0.0292728543 25.70 +6 656.573 574.946 0.020307634 25.70 +1 656.471 676.286 0.0198595065 25.70 +2 656.442 729.037 0.0222733024 25.70 +4 656.336 574.936 0.02691468 25.70 +5 656.234 771.479 0.0196697738 25.70 +6 656.209 574.675 0.016507574 25.70 +1 656.124 675.929 0.028193971 25.70 +2 656.105 728.682 0.0332505639 25.70 +4 656.073 574.753 0.0147003401 25.70 +5 656.016 771.142 0.0122311079 25.70 +6 655.978 574.465 0.0272121296 25.70 +1 605.75 622.609 0.027944588 28.20 +2 605.63 672.212 0.0192249837 28.20 +4 605.491 535.309 0.0182455474 28.20 +5 605.43 710.263 0.0267600448 28.20 +6 605.374 534.41 0.0271661554 28.20 +1 605.301 622.141 0.0197711912 28.20 +2 605.262 671.744 0.0160124951 28.20 +4 605.138 535.076 0.022680388 28.20 +5 605.09 709.86 0.02310844 28.20 +6 605.021 534.161 0.0226914081 28.20 +1 604.99 621.849 0.0180803761 28.20 +2 604.913 671.411 0.0254342289 28.20 +4 604.896 534.884 0.027971414 28.20 +5 604.872 709.652 0.016297239 28.20 +6 604.823 534.022 0.0241991735 28.20 +1 558.977 573.481 0.0165801086 30.90 +2 558.846 620.032 0.0229259678 30.90 +4 558.795 498.3337 0.00692538808 30.90 +5 558.758 654.39 0.0256515107 30.90 +6 558.673 497.039 0.0061367744 30.90 +1 558.529 573.021 0.023767625 30.90 +2 558.455 619.66 0.0177763888 30.90 +4 558.45 498.037 0.00870861642 30.90 +5 558.428 653.992 0.0159248234 30.90 +6 558.347 496.7684 0.0110156253 30.90 +1 558.304 572.728 0.0244458585 30.90 +2 558.22 619.281 0.0149298359 30.90 +4 558.187 497.8463 0.0108434773 30.90 +5 558.157 653.639 0.0169970586 30.90 +6 558.076 496.5092 0.00789911387 30.90 +1 516.144 528.743 0.0251017928 33.80 +2 516.074 572.525 0.0259711378 33.80 +4 515.996 464.1535 0.0097316494 33.80 +5 515.923 603.472 0.024240462 33.80 +6 515.873 462.6929 0.0111062595 33.80 +1 515.778 528.321 0.0292728543 33.80 +2 515.685 572.147 0.0213096222 33.80 +4 515.619 463.8849 0.00730814614 33.80 +5 515.592 603.036 0.0192457788 33.80 +6 515.531 462.4491 0.00779159804 33.80 +1 515.458 527.992 0.0152184099 33.80 +2 515.383 571.851 0.020709901 33.80 +4 515.409 463.7105 0.00924689137 33.80 +5 515.375 602.824 0.00695701085 33.80 +6 515.354 462.2836 0.00535014019 33.80 +1 474.8701 485.8708 0.00813363387 37.10 +2 474.7847 527.078 0.028628657 37.10 +4 474.6948 430.9307 0.00920440112 37.10 +5 474.6119 554.798 0.0196875595 37.10 +6 474.545 429.4353 0.0080000625 37.10 +1 474.4704 485.4299 0.00525823164 37.10 +2 474.4054 526.695 0.0276857364 37.10 +4 474.3361 430.6701 0.00855154957 37.10 +5 474.2923 554.473 0.0270942798 37.10 +6 474.2436 429.1891 0.00674603587 37.10 +1 474.1947 485.1383 0.00513819034 37.10 +2 474.1542 526.39 0.0292232784 37.10 +4 474.1199 430.4726 0.00596355599 37.10 +5 474.0833 554.091 0.0222912539 37.10 +6 474.0088 429.0094 0.00928353381 37.10 +1 436.9099 446.6131 0.0086214268 40.70 +2 436.8153 485.0718 0.00641217592 40.70 +4 436.7268 399.9142 0.00720527584 40.70 +5 436.6173 510.089 0.0302473139 40.70 +6 436.527 398.4623 0.00836187778 40.70 +1 436.4748 446.1784 0.00543911758 40.70 +2 436.4085 484.6341 0.00777103597 40.70 +4 436.3506 399.5999 0.00751724684 40.70 +5 436.288 509.693 0.0310821492 40.70 +6 436.2263 398.228 0.00697423831 40.70 +1 436.1626 445.864 0.0101577557 40.70 +2 436.1517 484.3349 0.00818834538 40.70 +4 436.1111 399.4041 0.0095639427 40.70 +5 436.0584 509.376 0.0292643127 40.70 +6 436.0072 398.052 0.0055767374 40.70 +1 402.0399 410.798 0.00828371897 44.60 +2 401.947 446.7592 0.00854494002 44.60 +4 401.8672 371.091 0.00773045924 44.60 +5 401.7946 469.047 0.00611555394 44.60 +6 401.7313 369.9268 0.0100317496 44.60 +1 401.6475 410.3882 0.00599966666 44.60 +2 401.6093 446.3994 0.0100818649 44.60 +4 401.5633 370.8361 0.00623931086 44.60 +5 401.5134 468.7256 0.00555013513 44.60 +6 401.456 369.6833 0.00588396125 44.60 +1 401.4114 410.157 0.00652380257 44.60 +2 401.3959 446.1694 0.0108877913 44.60 +4 401.376 370.6798 0.0113831454 44.60 +5 401.3475 468.5072 0.00698111739 44.60 +6 401.326 369.5733 0.00424040092 44.60 +1 369.774 377.7704 0.00785264287 48.90 +2 369.6755 411.3841 0.00856557062 48.90 +4 369.5752 344.1034 0.00862461593 48.90 +5 369.4865 431.3173 0.00867991935 48.90 +6 369.4088 343.1652 0.00564233994 48.90 +1 369.3175 377.311 0.00791580697 48.90 +2 369.2612 410.9522 0.00610213078 48.90 +4 369.1947 343.7829 0.00809376303 48.90 +5 369.1438 430.9235 0.00843237808 48.90 +6 369.1056 342.9338 0.0051260121 48.90 +1 369.0525 377.0245 0.00449499722 48.90 +2 369.0375 410.6707 0.00717641972 48.90 +4 368.9892 343.6193 0.00909950548 48.90 +5 368.936 430.6912 0.00647888879 48.90 +6 368.9 342.7668 0.00992753746 48.90 +1 340.116 347.558 0.0113022122 53.60 +2 339.9784 378.913 0.010633908 53.60 +4 339.8515 318.9847 0.00578454838 53.60 +5 339.7403 396.7116 0.0107890685 53.60 +6 339.6288 318.3396 0.00417420651 53.60 +1 339.5085 346.9393 0.00819640165 53.60 +2 339.4191 378.3076 0.00751159104 53.60 +4 339.3447 318.5422 0.00753763889 53.60 +5 339.2632 396.1673 0.00729115903 53.60 +6 339.1933 317.9729 0.00615215409 53.60 +1 339.1093 346.5377 0.00716665891 53.60 +2 339.05 377.9039 0.00856206751 53.60 +4 338.989 318.2666 0.00610606256 53.60 +5 338.9483 395.7939 0.00991811474 53.60 +6 338.8971 317.7301 0.00348267139 53.60 +1 312.3999 319.3999 0.00855739446 58.80 +2 312.2623 348.6489 0.0130778056 58.80 +4 312.1263 295.3115 0.00764493296 58.80 +5 312.008 364.5493 0.00735669763 58.80 +6 311.9105 295.0225 0.00795267251 58.80 +1 311.7886 318.7668 0.00956953499 58.80 +2 311.6983 348.0262 0.00609885235 58.80 +4 311.6125 294.8444 0.00798398397 58.80 +5 311.533 363.9717 0.00912365059 58.80 +6 311.451 294.661 0.00558569602 58.80 +1 311.3659 318.3515 0.00718226984 58.80 +2 311.3048 347.5943 0.00966545395 58.80 +4 311.2547 294.5556 0.00811935958 58.80 +5 311.198 363.5881 0.0084005357 58.80 +6 311.1353 294.3606 0.00485015464 58.80 +1 287.0246 293.7097 0.00501208539 64.50 +2 286.8863 320.9444 0.0104644159 64.50 +4 286.7713 273.4021 0.00587783974 64.50 +5 286.6485 335.1506 0.00928891813 64.50 +6 286.5456 273.4871 0.00797176267 64.50 +1 286.4063 293.0784 0.00530320658 64.50 +2 286.323 320.3253 0.00736077442 64.50 +4 286.2438 272.9359 0.0102307869 64.50 +5 286.1688 334.604 0.00578446195 64.50 +6 286.0791 273.0799 0.00715604639 64.50 +1 285.9956 292.6572 0.00673023031 64.50 +2 285.923 319.8942 0.00912447259 64.50 +4 285.8532 272.6235 0.00674129068 64.50 +5 285.7988 334.1887 0.00528403255 64.50 +6 285.7478 272.8164 0.00901687307 64.50 +1 263.6528 270.0929 0.012714126 70.70 +2 263.5279 295.4484 0.00904676738 70.70 +4 263.4242 253.0249 0.00837669386 70.70 +5 263.3168 308.1866 0.0096158203 70.70 +6 263.2188 253.4981 0.00652449232 70.70 +1 263.0848 269.515 0.01 70.70 +2 262.9926 294.8782 0.00638717465 70.70 +4 262.9022 252.5937 0.00776665951 70.70 +5 262.8182 307.6327 0.00864528773 70.70 +6 262.7546 253.0942 0.00570753887 70.70 +1 262.6596 269.1021 0.00756762843 70.70 +2 262.6014 294.4426 0.00446810922 70.70 +4 262.5444 252.2742 0.00523029636 70.70 +5 262.4798 307.2388 0.00918237442 70.70 +6 262.4297 252.824 0.00615304803 70.70 +1 242.0287 248.2675 0.00802402642 77.50 +2 241.9209 271.8473 0.0119390536 77.50 +4 241.8028 233.948 0.0113973681 77.50 +5 241.6745 283.1943 0.0102157232 77.50 +6 241.5606 234.7708 0.00830397495 77.50 +1 241.4513 247.6981 0.00515839122 77.50 +2 241.3695 271.2608 0.00598965775 77.50 +4 241.2806 233.5074 0.00667263067 77.50 +5 241.1925 282.6592 0.0103680278 77.50 +6 241.1224 234.3899 0.00860168588 77.50 +1 241.0493 247.2932 0.00913652013 77.50 +2 240.9865 270.8357 0.00555526777 77.50 +4 240.9163 233.2053 0.00738247926 77.50 +5 240.8583 282.2605 0.00673238442 77.50 +6 240.8127 234.0933 0.00492757547 77.50 +1 221.7867 227.8743 0.00512845006 85.00 +2 221.6751 249.7335 0.00448831817 85.00 +4 221.573 215.9613 0.00506566876 85.00 +5 221.4674 259.8751 0.00697775035 85.00 +6 221.3652 217.098 0.00858836422 85.00 +1 221.2564 227.3554 0.00449488598 85.00 +2 221.1753 249.2046 0.00788187795 85.00 +4 221.1118 215.5618 0.00536246212 85.00 +5 221.0299 259.3766 0.0113059276 85.00 +6 220.9483 216.7454 0.00984296703 85.00 +1 220.8672 226.9763 0.00744184117 85.00 +2 220.8146 248.8108 0.0060511156 85.00 +4 220.7646 215.2552 0.00601464878 85.00 +5 220.7136 259.006 0.0118220134 85.00 +6 220.6594 216.4628 0.00907281654 85.00 +1 203.1598 209.1524 0.00785518937 93.20 +2 203.0483 229.3881 0.00628243583 93.20 +4 202.9488 199.2403 0.00866954439 93.20 +5 202.8716 238.4321 0.00711540582 93.20 +6 202.7909 200.6804 0.00925548486 93.20 +1 202.6773 208.6587 0.00778337973 93.20 +2 202.6036 228.8833 0.00730759878 93.20 +4 202.538 198.8421 0.00678888798 93.20 +5 202.4619 237.9676 0.00489530387 93.20 +6 202.398 200.331 0.00665732679 93.20 +1 202.3228 208.3106 0.00643148505 93.20 +2 202.2682 228.5246 0.00603025704 93.20 +4 202.2233 198.5619 0.0065428587 93.20 +5 202.1751 237.6055 0.0119860335 93.20 +6 202.1221 200.0724 0.00673379536 93.20 +1 186.2421 192.1288 0.0109825316 102.00 +2 186.1499 210.8661 0.00927626002 102.00 +4 186.0664 183.8891 0.0102629918 102.00 +5 185.9823 218.9394 0.0124781409 102.00 +6 185.898 185.5952 0.0091485518 102.00 +1 185.8008 191.6867 0.00832111771 102.00 +2 185.7317 210.4162 0.00759973684 102.00 +4 185.6546 183.5357 0.00853703696 102.00 +5 185.5909 218.5192 0.0108552292 102.00 +6 185.5439 185.268 0.00705124103 102.00 +1 185.4612 191.3441 0.0116150334 102.00 +2 185.4121 210.0814 0.00405758549 102.00 +4 185.3625 183.2763 0.0048146651 102.00 +5 185.3083 218.1887 0.00649160997 102.00 +6 185.276 185.0343 0.00902225027 102.00 +1 170.1195 175.9025 0.00822830481 112.00 +2 170.0412 193.196 0.0103014562 112.00 +4 169.9531 169.1323 0.00879664709 112.00 +5 169.8697 200.364 0.00943716059 112.00 +6 169.7917 171.0673 0.00705556518 112.00 +1 169.7086 175.4916 0.00516759132 112.00 +2 169.6454 192.7559 0.00883227038 112.00 +4 169.5724 168.8025 0.0073256399 112.00 +5 169.504 199.9583 0.00795870592 112.00 +6 169.4505 170.7548 0.00711168053 112.00 +1 169.3848 175.1843 0.00614174242 112.00 +2 169.3302 192.4279 0.00605384176 112.00 +4 169.2867 168.5508 0.0090606843 112.00 +5 169.2538 199.6404 0.00969659734 112.00 +6 169.2147 170.5204 0.00787680138 112.00 +1 155.1972 160.9649 0.00831438512 123.00 +2 155.1072 176.8738 0.0118935277 123.00 +4 155.0311 155.3388 0.00343161769 123.00 +5 154.9598 183.2225 0.0128446487 123.00 +6 154.8913 157.4589 0.00357896633 123.00 +1 154.8031 160.5692 0.0104343663 123.00 +2 154.731 176.4724 0.0133844686 123.00 +4 154.6759 155.0158 0.0031931176 123.00 +5 154.6223 182.8236 0.0155930754 123.00 +6 154.5702 157.1638 0.00361054013 123.00 +1 154.4987 160.2757 0.0084522778 123.00 +2 154.4553 176.1374 0.00946805154 123.00 +4 154.4164 154.7622 0.00161121072 123.00 +5 154.3734 182.5257 0.00929306193 123.00 +6 154.3343 156.9406 0.00287819388 123.00 +1 141.487 147.1067 0.00351297595 135.00 +2 141.4124 161.7902 0.0124312509 135.00 +4 141.3421 142.5615 0.00198620241 135.00 +5 141.2743 167.3963 0.0083881464 135.00 +6 141.2136 144.8319 0.00412662089 135.00 +1 141.1395 146.7511 0.00267001873 135.00 +2 141.0804 161.4261 0.0107335455 135.00 +4 141.0301 142.262 0.00275317998 135.00 +5 140.9786 167.0527 0.0132552254 135.00 +6 140.9299 144.5672 0.00229259678 135.00 +1 140.8749 146.4846 0.00331119314 135.00 +2 140.83 161.145 0.0076694198 135.00 +4 140.7857 142.0453 0.00234968083 135.00 +5 140.7457 166.804 0.00736613874 135.00 +6 140.7123 144.3645 0.00169852878 135.00 +1 129.0991 134.6335 0.00497443464 148.00 +2 129.0285 148.064 0.00331360831 148.00 +4 128.9657 130.9023 0.00366073763 148.00 +5 128.9052 153.0177 0.00305957513 148.00 +6 128.8403 133.2778 0.00208230641 148.00 +1 128.7681 134.2933 0.00276423588 148.00 +2 128.7166 147.7217 0.0019851952 148.00 +4 128.6689 130.6199 0.00202706685 148.00 +5 128.6227 152.6888 0.00225743217 148.00 +6 128.5746 133.0285 0.00149833241 148.00 +1 128.5126 134.0444 0.0029906521 148.00 +2 128.4783 147.4545 0.00403050865 148.00 +4 128.444 130.4082 0.0041080409 148.00 +5 128.4048 152.4416 0.00227244362 148.00 +6 128.3667 132.8365 0.00237170825 148.00 +1 117.8472 123.2951 0.00297808663 162.00 +2 117.7845 135.6312 0.00442899537 162.00 +4 117.7228 120.2248 0.00367096718 162.00 +5 117.6644 140.0043 0.00340602408 162.00 +6 117.6122 122.6816 0.00313751494 162.00 +1 117.5445 122.9872 0.00332505639 162.00 +2 117.4946 135.3115 0.0021691012 162.00 +4 117.4505 119.9659 0.00226030971 162.00 +5 117.4094 139.7036 0.00364197748 162.00 +6 117.3709 122.4579 0.00253948814 162.00 +1 117.3212 122.7561 0.00295787086 162.00 +2 117.2863 135.0757 0.00214965113 162.00 +4 117.2473 119.7762 0.00354344465 162.00 +5 117.2131 139.4858 0.00303907881 162.00 +6 117.1828 122.2818 0.00227508242 162.00 +1 107.0928 112.4556 0.00295025423 178.00 +2 107.0342 123.709 0.00219089023 178.00 +4 106.9794 109.9389 0.00341306314 178.00 +5 106.9295 127.5502 0.00337283264 178.00 +6 106.8795 112.4479 0.00292728543 178.00 +1 106.8236 112.1796 0.00235881326 178.00 +2 106.7832 123.4324 0.0025698249 178.00 +4 106.738 109.7074 0.00243803199 178.00 +5 106.6996 127.2933 0.00287419554 178.00 +6 106.6648 112.2401 0.00124458829 178.00 +1 106.6193 111.9726 0.00286076913 178.00 +2 106.5908 123.2224 0.00244622158 178.00 +4 106.5624 109.5354 0.00222800359 178.00 +5 106.5314 127.0913 0.00169144908 178.00 +6 106.5025 112.084 0.00234946802 178.00 +1 97.6025 102.874 0.00412795349 195.00 +2 97.5485 113.166 0.00270924344 195.00 +4 97.4974 100.7867 0.00270573465 195.00 +5 97.4515 116.5475 0.00304055916 195.00 +6 97.4062 103.3134 0.00267656496 195.00 +1 97.3513 102.6234 0.00314388295 195.00 +2 97.315 112.9071 0.00186788651 195.00 +4 97.2769 100.5739 0.00250379712 195.00 +5 97.2433 116.3051 0.00162141913 195.00 +6 97.2128 103.1244 0.00305352256 195.00 +1 97.1683 102.4407 0.00206905776 195.00 +2 97.1398 112.7214 0.00158871017 195.00 +4 97.112 100.4204 0.0030893365 195.00 +5 97.0894 116.1209 0.00238096619 195.00 +6 97.0636 102.983 0.0026 195.00 +1 88.7678 93.9597 0.00360568995 214.00 +2 88.7244 103.3319 0.00297136332 214.00 +4 88.6784 92.2132 0.00209666402 214.00 +5 88.6344 106.2887 0.00346713138 214.00 +6 88.5938 94.7378 0.00292164337 214.00 +1 88.548 93.7389 0.00214219514 214.00 +2 88.5155 103.0995 0.00283284309 214.00 +4 88.4839 92.0193 0.00213096222 214.00 +5 88.4567 106.0772 0.00190157829 214.00 +6 88.4303 94.5729 0.0025551908 214.00 +1 88.3895 93.5738 0.0027342275 214.00 +2 88.369 102.9326 0.00309257175 214.00 +4 88.3396 91.8839 0.00288600069 214.00 +5 88.3139 105.9193 0.00216356188 214.00 +6 88.2945 94.4465 0.00406509532 214.00 +1 81.0637 86.159 0.00323109888 234.00 +2 81.0213 94.7206 0.00297052184 234.00 +4 80.9767 84.6673 0.00358343411 234.00 +5 80.9413 97.3197 0.00136418474 234.00 +6 80.9081 87.1796 0.00250679078 234.00 +1 80.8605 85.956 0.00300998339 234.00 +2 80.8342 94.511 0.00251396102 234.00 +4 80.8068 84.4959 0.00280873637 234.00 +5 80.7791 97.1312 0.00314261038 234.00 +6 80.7563 87.0274 0.00162603813 234.00 +1 80.7206 85.8232 0.00261839646 234.00 +2 80.6982 94.3622 0.00262982889 234.00 +4 80.677 84.3707 0.0035554184 234.00 +5 80.6554 96.9891 0.00182455474 234.00 +6 80.6376 86.9117 0.00191337398 234.00 +1 73.7778 78.7859 0.00303792692 257.00 +2 73.7403 86.557 0.00232379001 257.00 +4 73.7022 77.4891 0.00247971773 257.00 +5 73.6737 88.8341 0.00332701067 257.00 +6 73.6433 79.9625 0.00161400124 257.00 +1 73.6024 78.6051 0.00230412673 257.00 +2 73.575 86.375 0.00262297541 257.00 +4 73.5501 77.3359 0.00268867997 257.00 +5 73.5312 88.6642 0.00240748832 257.00 +6 73.5084 79.8306 0.00255812431 257.00 +1 73.4737 78.4838 0.00222620754 257.00 +2 73.4536 86.242 0.00235372046 257.00 +4 73.4353 77.226 0.00243721152 257.00 +5 73.4181 88.5385 0.00224165118 257.00 +6 73.4039 79.7328 0.00230564525 257.00 +1 65.9047 70.785 0.00296984848 288.00 +2 65.8692 77.6994 0.00328390012 288.00 +4 65.8342 69.6631 0.00222013513 288.00 +5 65.8079 79.625 0.00162480768 288.00 +6 65.7825 72.0857 0.00257701378 288.00 +1 65.744 70.6288 0.00250918313 288.00 +2 65.7228 77.5388 0.0016358484 288.00 +4 65.6988 69.5244 0.00171580885 288.00 +5 65.6773 79.476 0.00203469899 288.00 +6 65.6602 71.9601 0.00203690942 288.00 +1 65.6358 70.5188 0.00189103146 288.00 +2 65.6183 77.4205 0.00198116128 288.00 +4 65.6019 69.4278 0.00272323337 288.00 +5 65.5872 79.3748 0.00152184099 288.00 +6 65.5757 71.8725 0.00155080624 288.00 +1 62.836 67.6606 0.00401795968 302.00 +2 62.8027 74.2436 0.00255812431 302.00 +4 62.7694 66.5935 0.00294023809 302.00 +5 62.7437 76.0459 0.00398610085 302.00 +6 62.722 68.9913 0.0030101495 302.00 +1 62.6855 67.5209 0.00272928562 302.00 +2 62.6639 74.0907 0.00289844786 302.00 +4 62.6434 66.4718 0.00283830936 302.00 +5 62.6286 75.8995 0.00132853303 302.00 +6 62.613 68.8839 0.00280160668 302.00 +1 62.5919 67.4197 0.00293274615 302.00 +2 62.577 73.9842 0.00258766304 302.00 +4 62.5617 66.3824 0.00197585425 302.00 +5 62.5469 75.8047 0.00175527776 302.00 +6 62.5342 68.8102 0.00136235091 302.00 +1 61.1811 65.9781 0.00219749858 310.00 +2 61.1498 72.3764 0.00232894826 310.00 +4 61.1237 64.937 0.00167928556 310.00 +5 61.0999 74.1024 0.00417660149 310.00 +6 61.0767 67.3257 0.00280017857 310.00 +1 61.0508 65.8466 0.00265781865 310.00 +2 61.033 72.2361 0.00299148792 310.00 +4 61.0187 64.8276 0.00192457788 310.00 +5 61.0006 73.9887 0.00281442712 310.00 +6 60.9802 67.2281 0.00200723691 310.00 +1 60.9627 65.758 0.00264575131 310.00 +2 60.9532 72.1447 0.00259634358 310.00 +4 60.9378 64.7503 0.00162511538 310.00 +5 60.9246 73.8988 0.00231430335 310.00 +6 60.917 67.1615 0.00195576072 310.00 diff --git a/calib_data/_calib_data/calib_2024-12-17.txt b/calib_data/_calib_data/calib_2024-12-17.txt new file mode 100644 index 0000000..9441f5b --- /dev/null +++ b/calib_data/_calib_data/calib_2024-12-17.txt @@ -0,0 +1,722 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 18886.6 5849.748 3.3721669 1.57 +2 18885.11 22909.51 25.7287833 1.57 +4 18889.21 25989.78 21.6796624 1.57 +5 18909.47 18653.85 12.8594965 1.57 +1 18905.31 5857.544 1.44738675 1.57 +2 18938.16 22964.53 13.4357289 1.57 +4 18932.16 25949.2 17.2598378 1.57 +5 18883.87 18700.95 14.9274127 1.57 +1 18902.39 5841.376 2.25094478 1.57 +2 18937.37 23016.55 16.5498112 1.57 +4 19027.42 25980.61 23.2064493 1.57 +5 18979.94 18698.13 12.7764318 1.57 +1 17796.5 5590.888 3.56559414 1.62 +2 17801.79 21576.8 24.5859065 1.62 +4 17772.65 24265.01 9.71715442 1.62 +5 17753.7 17600.88 11.565222 1.62 +1 17802.42 5597.327 6.67201814 1.62 +2 17828.73 21496.58 9.88011943 1.62 +4 17815.22 24284.66 27.6849389 1.62 +5 17816.12 17642.15 14.7762867 1.62 +1 17809.99 5586.499 1.28805237 1.62 +2 17792.05 21578.4 23.6747418 1.62 +4 17754.93 24220.21 11.5475231 1.62 +5 17758.22 17626.37 16.11701 1.62 +1 13487.47 4557.447 0.314722259 1.78 +2 13486.57 16174.18 1.00596223 1.78 +4 13486.51 18122.24 1.69730374 1.78 +5 13488.78 13427.19 0.783511327 1.78 +1 13486.79 4558.764 0.329758093 1.78 +2 13482.52 16172.26 1.62149314 1.78 +4 13477.38 18101.39 1.0739134 1.78 +5 13477.53 13418.53 0.879323604 1.78 +1 13473.88 4554.519 0.26669252 1.78 +2 13478.59 16161 2.45393561 1.78 +4 13477.1 18122.39 1.53267413 1.78 +5 13475.68 13415.34 0.761078183 1.78 +1 11539.04 4060.208 0.0962060289 1.95 +2 11540.22 13772.81 1.38949271 1.95 +4 11539.95 15382 1.16970082 1.95 +5 11538.4 11528.67 0.700292796 1.95 +1 11534.11 4060.397 0.374457074 1.95 +2 11527.53 13754.67 2.44671412 1.95 +4 11530.13 15379.76 2.15165982 1.95 +5 11533.82 11528.02 1.24441151 1.95 +1 11530.78 4056.584 0.26090688 1.95 +2 11530.48 13760.19 1.22257515 1.95 +4 11533.86 15378.35 2.70832974 1.95 +5 11540.79 11529.39 0.609663842 1.95 +1 9908.04 3623.076 0.370286916 2.14 +2 9902.21 11766.94 0.988959049 2.14 +4 9896.82 13093.2 1.29460419 2.14 +5 9895.51 9923.08 1.52235344 2.14 +1 9898.76 3621.737 0.175448283 2.14 +2 9903.13 11761.89 1.15667195 2.14 +4 9903.27 13104.79 0.626649822 2.14 +5 9902.65 9935.55 0.793252797 2.14 +1 9902.02 3621.042 0.301220185 2.14 +2 9902.06 11756.61 0.651682438 2.14 +4 9904.34 13112.61 0.915254063 2.14 +5 9902 9930.26 0.3228622 2.14 +1 8591.71 3257.66 0.14362451 2.34 +2 8592.22 10172.69 0.360679913 2.34 +4 8589.04 11303.07 0.520970249 2.34 +5 8591.28 8656.94 0.360333179 2.34 +1 8591.12 3257.312 0.106299577 2.34 +2 8590.24 10173.85 0.617130456 2.34 +4 8591.29 11304.66 0.472482804 2.34 +5 8593.31 8657.15 0.289223097 2.34 +1 8592.14 3257.243 0.0919679292 2.34 +2 8593.06 10173.98 0.371967741 2.34 +4 8592.63 11304.82 0.354344465 2.34 +5 8591.66 8656.05 0.301081384 2.34 +1 7479.1 2934.705 0.087843611 2.57 +2 7479.01 8830.81 0.514674655 2.57 +4 7477.91 9788.39 0.353397793 2.57 +5 7477.84 7569.87 0.448564377 2.57 +1 7478.06 2934.332 0.0759842089 2.57 +2 7480.19 8831.02 0.287680378 2.57 +4 7480.92 9786.44 0.296040538 2.57 +5 7480.01 7569.73 0.165559657 2.57 +1 7477.08 2934.277 0.080000625 2.57 +2 7478.03 8830.39 0.29238673 2.57 +4 7477.62 9788.25 0.351639019 2.57 +5 7479.12 7569.88 0.354626564 2.57 +1 6552.69 2655.041 0.127627975 2.82 +2 6553.36 7719.44 0.22324874 2.82 +4 6553.4 8534.9 0.359444015 2.82 +5 6551.44 6660.77 0.390397234 2.82 +1 6552.52 2655.251 0.0842787043 2.82 +2 6553.73 7718.9 0.277488739 2.82 +4 6553.73 8533.17 0.226296266 2.82 +5 6553.17 6660.54 0.146424042 2.82 +1 6552.31 2655.031 0.0831558777 2.82 +2 6552.45 7717.82 0.392377369 2.82 +4 6552.8 8532.72 0.386471215 2.82 +5 6552.61 6659.79 0.356216226 2.82 +1 5774.35 2411.638 0.0464284396 3.09 +2 5775.02 6788.79 0.24349538 3.09 +4 5775.31 7490.35 0.337416656 3.09 +5 5774.56 5895.22 0.261074702 3.09 +1 5774.59 2411.385 0.0822100967 3.09 +2 5774.14 6788.57 0.286024474 3.09 +4 5774.6 7489.47 0.309531905 3.09 +5 5774.91 5894.99 0.20902153 3.09 +1 5773.72 2411.441 0.0766217985 3.09 +2 5774.64 6787.86 0.438223687 3.09 +4 5775.08 7490.09 0.422953898 3.09 +5 5774.2 5895.4 0.320936131 3.09 +1 5162.26 2213.245 0.0689818817 3.38 +2 5160.5 6052.48 0.273788239 3.38 +4 5159.89 6670.17 0.461530064 3.38 +5 5162.64 5289.86 0.251475645 3.38 +1 5159.35 2211.94 0.138874044 3.38 +2 5159.81 6054.72 0.341994152 3.38 +4 5159.97 6669.03 0.35806424 3.38 +5 5160.81 5290.55 0.271385335 3.38 +1 5160.41 2212.606 0.145589835 3.38 +2 5160.06 6055.31 0.396598033 3.38 +4 5162.27 6671.75 0.291633331 3.38 +5 5162.25 5290.91 0.229543024 3.38 +1 4569.718 2017.949 0.310530031 3.71 +2 4569.68 5358.97 0.348439378 3.71 +4 4572.57 5896.96 0.408705273 3.71 +5 4577.066 4710.315 0.885515951 3.71 +1 4576.141 2018.551 0.199912231 3.71 +2 4570.321 5366.98 0.985575974 3.71 +4 4571.275 5890.51 0.974315144 3.71 +5 4572.975 4707.244 0.47700566 3.71 +1 4569.17 2016.768 0.152307584 3.71 +2 4571.206 5362.99 1.01207213 3.71 +4 4571.811 5896.02 0.71704951 3.71 +5 4572.552 4713.249 0.754597177 3.71 +1 4069.53 1843.024 0.0876607096 4.07 +2 4068.892 4769.243 0.250084186 4.07 +4 4068.444 5228.48 0.358552646 4.07 +5 4069.049 4210.182 0.19883561 4.07 +1 4068.796 1842.953 0.071568848 4.07 +2 4068.347 4767.262 0.388810494 4.07 +4 4067.556 5228.7 0.466261729 4.07 +5 4068.396 4209.835 0.160656466 4.07 +1 4068.237 1842.066 0.110952242 4.07 +2 4068.595 4767.906 0.459460989 4.07 +4 4068.149 5229.18 0.267507009 4.07 +5 4066.937 4207.407 0.314385273 4.07 +1 3639.56 1688.723 0.0615962661 4.46 +2 3639.555 4261.009 0.108521426 4.46 +4 3639.75 4663.69 0.130491379 4.46 +5 3639.558 3781.096 0.118778786 4.46 +1 3638.528 1688.417 0.0794990566 4.46 +2 3639.476 4261.236 0.0968627896 4.46 +4 3639.675 4663.758 0.133849169 4.46 +5 3639.759 3780.933 0.183450538 4.46 +1 3639.64 1688.685 0.0697746372 4.46 +2 3639.197 4261.091 0.0953776703 4.46 +4 3639.436 4664.203 0.0786136121 4.46 +5 3639.712 3781.555 0.202673383 4.46 +1 3265.365 1549.695 0.0350499643 4.89 +2 3265.218 3820.073 0.046691541 4.89 +4 3265.41 4173.228 0.140419372 4.89 +5 3265.617 3405.472 0.0615597271 4.89 +1 3265.059 1549.614 0.0509745034 4.89 +2 3265.341 3819.976 0.091435223 4.89 +4 3265.342 4173.188 0.114112225 4.89 +5 3265.336 3405.493 0.089555011 4.89 +1 3265.067 1549.607 0.0537596503 4.89 +2 3265.245 3819.75 0.125347517 4.89 +4 3264.949 4172.923 0.050814368 4.89 +5 3264.64 3405.275 0.0915887548 4.89 +1 2933.163 1423.195 0.0200124961 5.36 +2 2933.267 3429.434 0.10140217 5.36 +4 2933.348 3740.43 0.0878862902 5.36 +5 2933.213 3071.316 0.0878088834 5.36 +1 2933.193 1423.232 0.03706211 5.36 +2 2933.356 3429.5 0.0784474346 5.36 +4 2933.206 3740.007 0.0983976626 5.36 +5 2933.038 3071.531 0.0546342383 5.36 +1 2933.195 1423.127 0.0219111844 5.36 +2 2933.231 3429.537 0.0714569801 5.36 +4 2933.241 3740.034 0.0487483333 5.36 +5 2933.221 3071.282 0.0975991803 5.36 +1 2638.888 1307.663 0.0287767267 5.88 +2 2638.622 3083.641 0.09623357 5.88 +4 2638.596 3357.233 0.0560365952 5.88 +5 2638.737 2773.576 0.0863272842 5.88 +1 2638.635 1307.739 0.0228670068 5.88 +2 2638.695 3083.64 0.0756042327 5.88 +4 2638.853 3356.966 0.0769441356 5.88 +5 2638.836 2773.623 0.0910939076 5.88 +1 2638.82 1307.622 0.0207267943 5.88 +2 2638.652 3083.652 0.0651889561 5.88 +4 2638.496 3357.01 0.0607782856 5.88 +5 2638.451 2773.562 0.0811270608 5.88 +1 2387.146 1206.24 0.022627417 6.45 +2 2387.119 2788.706 0.0680323452 6.45 +4 2387.233 3031.187 0.0823170699 6.45 +5 2387.332 2518.485 0.0732427471 6.45 +1 2386.713 1206.158 0.027342275 6.45 +2 2387.131 2788.682 0.0762994102 6.45 +4 2387.074 3031.213 0.115974566 6.45 +5 2387.144 2518.609 0.0730267074 6.45 +1 2387.063 1206.226 0.030665942 6.45 +2 2387.13 2788.649 0.0725596306 6.45 +4 2386.876 3031.05 0.0704840407 6.45 +5 2386.979 2518.396 0.0645476568 6.45 +1 2167.438 1115.304 0.0339764624 7.07 +2 2167.607 2531.508 0.0457121428 7.07 +4 2167.583 2747.332 0.0531751822 7.07 +5 2167.604 2294.805 0.115058681 7.07 +1 2167.519 1115.262 0.0260691388 7.07 +2 2167.558 2531.369 0.0737895657 7.07 +4 2167.457 2747.416 0.0429697568 7.07 +5 2167.475 2294.703 0.0620330557 7.07 +1 2167.307 1115.291 0.0378007936 7.07 +2 2167.306 2531.502 0.0632898096 7.07 +4 2167.379 2747.215 0.0850088231 7.07 +5 2167.366 2294.747 0.0961670422 7.07 +1 1972.702 1032.62 0.0388329757 7.75 +2 1972.629 2303.593 0.0828377933 7.75 +4 1972.501 2496.248 0.100705511 7.75 +5 1972.505 2095.522 0.0667952094 7.75 +1 1972.021 1032.501 0.0322009317 7.75 +2 1972.248 2303.126 0.0851375358 7.75 +4 1972.352 2496.199 0.0746116613 7.75 +5 1972.381 2095.404 0.0564127645 7.75 +1 1972.333 1032.483 0.0251017928 7.75 +2 1972.408 2303.354 0.0737455083 7.75 +4 1972.646 2496.174 0.03516248 7.75 +5 1972.417 2095.58 0.0394968353 7.75 +1 1799.392 957.475 0.0443677811 8.50 +2 1799.558 2101.342 0.0571279266 8.50 +4 1799.386 2274.058 0.0676875173 8.50 +5 1799.143 1918.02 0.0478121324 8.50 +1 1799.281 957.383 0.0300349796 8.50 +2 1799.372 2101.293 0.0480634997 8.50 +4 1799.154 2273.846 0.121071879 8.50 +5 1799.187 1917.906 0.0351055551 8.50 +1 1798.852 957.33 0.0286705424 8.50 +2 1799.217 2101.325 0.117117462 8.50 +4 1799.28 2274.112 0.0743881711 8.50 +5 1799.116 1917.866 0.0634854314 8.50 +1 1646.456 889.639 0.0251177228 9.32 +2 1646.483 1923.25 0.0714562803 9.32 +4 1646.501 2078.292 0.0630840709 9.32 +5 1646.366 1760.94 0.0550454358 9.32 +1 1645.952 889.546 0.027971414 9.32 +2 1646.316 1923.098 0.0600632999 9.32 +4 1646.278 2078.513 0.0676912107 9.32 +5 1646.14 1760.959 0.0773621354 9.32 +1 1646.179 889.501 0.0202212759 9.32 +2 1646.312 1923.006 0.0647796264 9.32 +4 1646.331 2078.302 0.0645569516 9.32 +5 1646.249 1760.797 0.0859307861 9.32 +1 1512.024 828.972 0.024690079 10.20 +2 1512.024 1767.51 0.0687749955 10.20 +4 1511.97 1907.457 0.0587545743 10.20 +5 1511.805 1622.974 0.0806622588 10.20 +1 1511.715 828.841 0.0206615585 10.20 +2 1511.778 1767.147 0.0372572141 10.20 +4 1511.813 1907.408 0.0589542195 10.20 +5 1511.723 1622.879 0.0233430932 10.20 +1 1511.77 828.851 0.0172887246 10.20 +2 1511.711 1767.064 0.0634854314 10.20 +4 1511.742 1907.311 0.0459227612 10.20 +5 1511.748 1622.759 0.0853399086 10.20 +1 1386.861 771.187 0.0225410736 11.20 +2 1386.814 1622.072 0.0470489107 11.20 +4 1386.802 1748.467 0.0884878523 11.20 +5 1386.824 1493.086 0.0316922704 11.20 +1 1386.756 771.162 0.0209666402 11.20 +2 1386.632 1621.891 0.04262511 11.20 +4 1386.614 1748.412 0.0928202564 11.20 +5 1386.697 1493.062 0.0204352636 11.20 +1 1386.639 771.08 0.0253771551 11.20 +2 1386.598 1621.912 0.0670492356 11.20 +4 1386.664 1748.388 0.0946762906 11.20 +5 1386.706 1492.995 0.0228144691 11.20 +1 1273.576 717.924 0.0121819539 12.30 +2 1273.528 1490.168 0.0215313725 12.30 +4 1273.444 1605.076 0.0515790655 12.30 +5 1273.383 1375.877 0.0308236922 12.30 +1 1273.338 717.877 0.0167958328 12.30 +2 1273.378 1490.073 0.0377107412 12.30 +4 1273.394 1604.914 0.127422133 12.30 +5 1273.307 1375.846 0.0208901891 12.30 +1 1273.374 717.901 0.016878981 12.30 +2 1273.417 1490.024 0.0182318403 12.30 +4 1273.355 1604.85 0.0596824932 12.30 +5 1273.316 1375.771 0.0156492811 12.30 +1 1171.84 669.299 0.0227354349 13.50 +2 1171.826 1372.652 0.0237823464 13.50 +4 1171.835 1475.992 0.0165408585 13.50 +5 1171.742 1270.662 0.0346929388 13.50 +1 1171.603 669.251 0.012525973 13.50 +2 1171.622 1372.467 0.0181686543 13.50 +4 1171.68 1475.832 0.028135387 13.50 +5 1171.691 1270.58 0.0347562944 13.50 +1 1171.611 669.27 0.0140712473 13.50 +2 1171.588 1372.463 0.0337653669 13.50 +4 1171.606 1475.782 0.0361054013 13.50 +5 1171.601 1270.5 0.0272763634 13.50 +1 1079.527 624.486 0.0232894826 14.80 +2 1079.475 1266.266 0.0221449769 14.80 +4 1079.48 1360.013 0.0249419326 14.80 +5 1079.39 1174.98 0.0165529454 14.80 +1 1079.354 624.401 0.0191546339 14.80 +2 1079.364 1266.102 0.0193287351 14.80 +4 1079.387 1359.83 0.0284253408 14.80 +5 1079.315 1174.841 0.0181906569 14.80 +1 1079.235 624.381 0.027944588 14.80 +2 1079.263 1266.057 0.0307912325 14.80 +4 1079.309 1359.868 0.0313623979 14.80 +5 1079.307 1174.802 0.0203371581 14.80 +1 996.437 583.567 0.0237928561 16.20 +2 996.395 1170.761 0.0258244071 16.20 +4 996.325 1255.955 0.0276495931 16.20 +5 996.281 1088.735 0.0369932426 16.20 +1 996.19 583.431 0.016878981 16.20 +2 996.167 1170.514 0.0204058815 16.20 +4 996.168 1255.765 0.0273221522 16.20 +5 996.116 1088.632 0.0275245345 16.20 +1 996.087 583.336 0.0276839304 16.20 +2 996.094 1170.434 0.0249078301 16.20 +4 996.131 1255.674 0.0236304888 16.20 +5 996.137 1088.597 0.0190814046 16.20 +1 916.984 543.775 0.0183439363 17.80 +2 916.905 1079.664 0.019089264 17.80 +4 916.854 1156.85 0.018 17.80 +5 916.809 1006.267 0.0187643279 17.80 +1 916.625 543.645 0.0301081384 17.80 +2 916.6 1079.408 0.0296580512 17.80 +4 916.679 1156.624 0.0304039471 17.80 +5 916.657 1006.102 0.0242816803 17.80 +1 916.577 543.611 0.0339543812 17.80 +2 916.585 1079.316 0.02691468 17.80 +4 916.631 1156.536 0.0206494552 17.80 +5 916.614 1006.092 0.0205815451 17.80 +1 846.174 507.908 0.0255264569 19.50 +2 846.102 998.786 0.0273203221 19.50 +4 846.044 1068.948 0.0208710326 19.50 +5 845.967 932.792 0.0261074702 19.50 +1 845.886 507.817 0.0151029798 19.50 +2 845.852 998.47 0.0281424946 19.50 +4 845.84 1068.75 0.0116619038 19.50 +5 845.845 932.634 0.0268029849 19.50 +1 845.761 507.675 0.0187749834 19.50 +2 845.756 998.405 0.0245051015 19.50 +4 845.75 1068.595 0.0143701079 19.50 +5 845.74 932.517 0.0200524313 19.50 +1 779.67 473.6058 0.00742805493 21.40 +2 779.589 922.93 0.0241246762 21.40 +4 779.538 986.736 0.0125857062 21.40 +5 779.421 863.661 0.0248374717 21.40 +1 779.398 473.4493 0.0105669769 21.40 +2 779.379 922.614 0.029839571 21.40 +4 779.268 986.43 0.0235796522 21.40 +5 779.204 863.476 0.019089264 21.40 +1 779.176 473.3741 0.0066504887 21.40 +2 779.209 922.498 0.0218082553 21.40 +4 779.158 986.352 0.0211565593 21.40 +5 779.14 863.446 0.0241743666 21.40 +1 720.775 443.0197 0.00928444936 23.40 +2 720.727 856.021 0.025591014 23.40 +4 720.642 914.226 0.0186654762 23.40 +5 720.567 802.589 0.017461386 23.40 +1 720.523 442.8584 0.00895120104 23.40 +2 720.476 855.725 0.0234627364 23.40 +4 720.399 913.957 0.0126530629 23.40 +5 720.364 802.38 0.020880613 23.40 +1 720.335 442.7799 0.00974315144 23.40 +2 720.334 855.614 0.0163217646 23.40 +4 720.287 913.84 0.0224053565 23.40 +5 720.269 802.281 0.013960659 23.40 +1 663.715 412.9778 0.00449177025 25.70 +2 663.661 791.272 0.0188573593 25.70 +4 663.558 844.163 0.0264971697 25.70 +5 663.47 743.191 0.0197711912 25.70 +1 663.403 412.8447 0.00988134606 25.70 +2 663.4 790.974 0.0267282622 25.70 +4 663.343 843.911 0.0233002146 25.70 +5 663.273 743.06 0.0313687743 25.70 +1 663.184 412.7309 0.00955662074 25.70 +2 663.173 790.867 0.024333105 25.70 +4 663.178 843.766 0.0181769084 25.70 +5 663.194 742.918 0.0238243573 25.70 +1 611.47 385.1551 0.00820420624 28.20 +2 611.456 732.115 0.0205548048 28.20 +4 611.355 780.133 0.0249819935 28.20 +5 611.204 688.792 0.0154142791 28.20 +1 611.129 384.9931 0.0095639427 28.20 +2 611.111 731.848 0.0188573593 28.20 +4 611.066 779.926 0.0185580171 28.20 +5 611.059 688.652 0.0234008547 28.20 +1 610.987 384.8925 0.0103094617 28.20 +2 611.009 731.569 0.023641066 28.20 +4 610.919 779.741 0.0191023559 28.20 +5 610.851 688.501 0.0171143215 28.20 +1 563.716 359.4231 0.00844328135 30.90 +2 563.631 678.109 0.0182455474 30.90 +4 563.569 721.893 0.0263837071 30.90 +5 563.47 639.102 0.0297926165 30.90 +1 563.382 359.2651 0.00899827761 30.90 +2 563.384 677.798 0.0209666402 30.90 +4 563.312 721.584 0.0212696968 30.90 +5 563.257 638.9 0.0239582971 30.90 +1 563.283 359.1507 0.00829463682 30.90 +2 563.229 677.602 0.0244867311 30.90 +4 563.149 721.419 0.0200224874 30.90 +5 563.15 638.745 0.0200624026 30.90 +1 520.265 335.6948 0.00721221187 33.80 +2 520.15 628.943 0.0238348484 33.80 +4 520.069 668.83 0.0196977156 33.80 +5 519.971 593.671 0.0239770724 33.80 +1 519.91 335.5508 0.00668101789 33.80 +2 519.888 628.634 0.0256593063 33.80 +4 519.802 668.574 0.026540535 33.80 +5 519.763 593.484 0.0206009709 33.80 +1 519.758 335.44 0.00759473502 33.80 +2 519.707 628.471 0.0237255137 33.80 +4 519.682 668.329 0.0156492811 33.80 +5 519.637 593.253 0.0184418003 33.80 +1 478.2289 312.638 0.00840713982 37.10 +2 478.1337 581.62 0.0212132034 37.10 +4 478.0413 617.959 0.0228232338 37.10 +5 477.9628 549.923 0.0109590146 37.10 +1 477.9049 312.4854 0.00635955973 37.10 +2 477.8447 581.32 0.0290516781 37.10 +4 477.7962 617.588 0.0273788239 37.10 +5 477.7527 549.662 0.0391612053 37.10 +1 477.6915 312.3489 0.00755175476 37.10 +2 477.649 581.132 0.0284534708 37.10 +4 477.6281 617.378 0.0250119971 37.10 +5 477.5923 549.487 0.0254578082 37.10 +1 439.6846 291.127 0.00885437745 40.70 +2 439.5922 537.973 0.0210261742 40.70 +4 439.5059 570.947 0.0209308385 40.70 +5 439.4261 509.371 0.0247971773 40.70 +1 439.3657 290.9406 0.00845718629 40.70 +2 439.3018 537.699 0.0262087772 40.70 +4 439.2596 570.695 0.0269536639 40.70 +5 439.234 509.159 0.0280160668 40.70 +1 439.1854 290.818 0.00849117189 40.70 +2 439.1386 537.49 0.0282842712 40.70 +4 439.0924 570.425 0.0351923287 40.70 +5 439.0587 508.986 0.019193749 40.70 +1 404.4413 271.1843 0.00637502941 44.60 +2 404.3442 497.898 0.00722634071 44.60 +4 404.2647 528.014 0.021549942 44.60 +5 404.2006 472.0539 0.00704052555 44.60 +1 404.1153 271.0053 0.00528024621 44.60 +2 404.0561 497.5638 0.00812256117 44.60 +4 403.9916 527.724 0.0157607106 44.60 +5 403.9518 471.8069 0.0059757008 44.60 +1 403.9123 270.8881 0.00471900413 44.60 +2 403.8908 497.3511 0.00589822007 44.60 +4 403.862 527.524 0.030665942 44.60 +5 403.8172 471.646 0.0103295692 44.60 +1 371.7457 252.4618 0.00650507494 48.90 +2 371.6353 460.7365 0.00587239304 48.90 +4 371.5523 487.9507 0.00661218572 48.90 +5 371.4851 437.3693 0.00684404851 48.90 +1 371.379 252.2807 0.00715129359 48.90 +2 371.3099 460.3636 0.00432943414 48.90 +4 371.265 487.5968 0.00833522645 48.90 +5 371.2318 437.1229 0.00669096406 48.90 +1 371.1613 252.1349 0.00801554739 48.90 +2 371.1179 460.115 0.00835583628 48.90 +4 371.0867 487.3705 0.00742866071 48.90 +5 371.0449 436.9228 0.00697538529 48.90 +1 341.7507 235.0714 0.00976749712 53.60 +2 341.6284 426.5019 0.0084171848 53.60 +4 341.5344 451.2238 0.00577546535 53.60 +5 341.4312 405.4047 0.00721948752 53.60 +1 341.3104 234.8452 0.00860209277 53.60 +2 341.2441 426.091 0.00731436942 53.60 +4 341.1823 450.8283 0.00839172211 53.60 +5 341.121 405.0787 0.00618231348 53.60 +1 341.0373 234.6689 0.00543957719 53.60 +2 340.9855 425.7916 0.00729547805 53.60 +4 340.9646 450.5415 0.00678269858 53.60 +5 340.9194 404.8391 0.00983509024 53.60 +1 313.7968 218.6878 0.00730451915 58.80 +2 313.668 394.5279 0.00963166652 58.80 +4 313.5687 416.9589 0.00876179205 58.80 +5 313.4665 375.4517 0.00572721573 58.80 +1 313.3298 218.4016 0.00550309004 58.80 +2 313.2557 394.0305 0.0113501101 58.80 +4 313.1744 416.492 0.0063387696 58.80 +5 313.1015 375.0617 0.00651774501 58.80 +1 313.0008 218.2078 0.00727296363 58.80 +2 312.944 393.705 0.00681322244 58.80 +4 312.8974 416.1514 0.00586037541 58.80 +5 312.8316 374.7935 0.0077772103 58.80 +1 287.9392 203.2971 0.00914270201 64.50 +2 287.8246 364.8136 0.00528242369 64.50 +4 287.7206 385.1719 0.0062087841 64.50 +5 287.5983 347.5734 0.0088217912 64.50 +1 287.4508 203.0019 0.00804791899 64.50 +2 287.3505 364.2875 0.00632020569 64.50 +4 287.2828 384.6534 0.00722938448 64.50 +5 287.2211 347.1677 0.0115187239 64.50 +1 287.099 202.7997 0.0062706459 64.50 +2 287.0416 363.9118 0.00693945243 64.50 +4 286.9853 384.2944 0.00663053542 64.50 +5 286.9262 346.8612 0.00783428363 64.50 +1 264.2343 189.0138 0.00735091831 70.70 +2 264.116 337.402 0.0080137382 70.70 +4 263.9918 355.8751 0.0128097229 70.70 +5 263.8862 321.8511 0.009009384 70.70 +1 262.8608 188.1711 0.00639445072 70.70 +2 262.8206 335.9482 0.00574943475 70.70 +4 262.8025 354.4029 0.00348267139 70.70 +5 262.7805 320.6286 0.00493396392 70.70 +1 262.7173 188.095 0.00671863081 70.70 +2 262.7002 335.796 0.00691953756 70.70 +4 262.6956 354.2421 0.00777232269 70.70 +5 262.6685 320.504 0.0059126982 70.70 +1 242.0851 175.4737 0.0116979058 77.50 +2 241.983 311.6506 0.00721553879 77.50 +4 241.8888 328.4031 0.00379591886 77.50 +5 241.7937 297.6274 0.00620193518 77.50 +1 241.6536 175.2048 0.00933895069 77.50 +2 241.5729 311.1873 0.00646072751 77.50 +4 241.4959 327.9281 0.00862258662 77.50 +5 241.4284 297.2712 0.00465360076 77.50 +1 241.342 174.9884 0.00893106936 77.50 +2 241.2864 310.8516 0.00526535849 77.50 +4 241.2451 327.6014 0.00580379186 77.50 +5 241.2011 296.9816 0.00709112121 77.50 +1 221.7781 162.8475 0.00622133426 85.00 +2 221.6763 287.862 0.008428523 85.00 +4 221.5846 303.0338 0.00997877748 85.00 +5 221.4861 275.221 0.00784856675 85.00 +1 221.3756 162.6174 0.00647950615 85.00 +2 221.2978 287.4242 0.00783428363 85.00 +4 221.2296 302.5983 0.00514402566 85.00 +5 221.1613 274.8687 0.00672168134 85.00 +1 221.0648 162.4003 0.00907860121 85.00 +2 221.0072 287.0778 0.00634318532 85.00 +4 220.9577 302.2521 0.00657183384 85.00 +5 220.9175 274.584 0.00475394573 85.00 +1 203.0759 151.045 0.00256904652 93.20 +2 202.9675 265.7692 0.0116788698 93.20 +4 202.8762 279.5063 0.00884991525 93.20 +5 202.7972 254.3809 0.0105360809 93.20 +1 202.6891 150.7909 0.00335097001 93.20 +2 202.62 265.332 0.00826680107 93.20 +4 202.5444 279.0859 0.00550536102 93.20 +5 202.4817 254.0395 0.00766191882 93.20 +1 202.4125 150.6054 0.00289205809 93.20 +2 202.3514 265.0174 0.00967904954 93.20 +4 202.2791 278.752 0.00863249674 93.20 +5 202.2353 253.7553 0.00690659105 93.20 +1 186.0946 140.2008 0.00356875328 102.00 +2 186.0053 245.5689 0.00950836474 102.00 +4 185.9081 257.9926 0.00491975609 102.00 +5 185.8159 235.2767 0.00951320135 102.00 +1 185.7252 139.955 0.00280713377 102.00 +2 185.6569 245.1443 0.00623706662 102.00 +4 185.5803 257.5842 0.00608078942 102.00 +5 185.5196 234.9551 0.00680066173 102.00 +1 185.4455 139.784 0.00188148877 102.00 +2 185.4039 244.8179 0.005862508 102.00 +4 185.3463 257.2643 0.00642658541 102.00 +5 185.2959 234.6953 0.00516536543 102.00 +1 169.9831 129.7505 0.00243413229 112.00 +2 169.8919 226.1836 0.0137376854 112.00 +4 169.8006 237.4289 0.00621039451 112.00 +5 169.7113 216.9789 0.00937917907 112.00 +1 169.6123 129.5193 0.00230672929 112.00 +2 169.5647 225.79 0.00910274684 112.00 +4 169.4862 237.0173 0.00962086275 112.00 +5 169.4042 216.6402 0.00956221732 112.00 +1 169.3346 129.3372 0.00265631323 112.00 +2 169.2863 225.4772 0.00688302259 112.00 +4 169.2268 236.6847 0.00810561534 112.00 +5 169.1812 216.371 0.00628808397 112.00 +1 154.8795 119.8613 0.00432677709 123.00 +2 154.7931 207.9615 0.00935868581 123.00 +4 154.7132 218.0653 0.00806975836 123.00 +5 154.6451 199.7343 0.01032187 123.00 +1 154.5522 119.6534 0.003575472 123.00 +2 154.4959 207.5975 0.00661551207 123.00 +4 154.433 217.7263 0.00854757275 123.00 +5 154.3756 199.4294 0.00953645636 123.00 +1 154.3168 119.4874 0.00340646444 123.00 +2 154.2684 207.3272 0.00974248428 123.00 +4 154.2231 217.4353 0.00564809702 123.00 +5 154.1817 199.1664 0.00819292378 123.00 +1 141.2112 110.7348 0.00221720545 135.00 +2 141.1339 191.2034 0.00763701512 135.00 +4 141.0558 200.3186 0.0106284524 135.00 +5 140.9885 183.8414 0.00893106936 135.00 +1 140.909 110.5323 0.00313384748 135.00 +2 140.8476 190.8666 0.00740027027 135.00 +4 140.7908 199.9602 0.0116067222 135.00 +5 140.7406 183.5436 0.00986934648 135.00 +1 140.6768 110.3767 0.00289499568 135.00 +2 140.6279 190.5973 0.00795870592 135.00 +4 140.5815 199.7069 0.012391489 135.00 +5 140.5395 183.3262 0.00747903737 135.00 +1 128.7639 102.3089 0.00327856676 148.00 +2 128.6956 175.807 0.0094318609 148.00 +4 128.626 183.9865 0.00789461842 148.00 +5 128.5614 169.2075 0.00641755405 148.00 +1 128.4899 102.1208 0.00283830936 148.00 +2 128.4305 175.4797 0.0118220557 148.00 +4 128.3795 183.6674 0.0115811916 148.00 +5 128.3298 168.9434 0.00670253683 148.00 +1 128.2711 101.9731 0.00196188685 148.00 +2 128.2247 175.2456 0.00832970588 148.00 +4 128.1893 183.4307 0.00779236806 148.00 +5 128.1539 168.748 0.00872467764 148.00 +1 117.4474 94.5248 0.00436302647 162.00 +2 117.3801 161.6579 0.00916018559 162.00 +4 117.3178 169.0275 0.0127076748 162.00 +5 117.2693 155.7153 0.00148357676 162.00 +1 117.2072 94.359 0.00129614814 162.00 +2 117.1581 161.3785 0.0104826046 162.00 +4 117.1122 168.7551 0.0096679367 162.00 +5 117.0716 155.4782 0.00343453054 162.00 +1 117.0275 94.2365 0.00246272207 162.00 +2 116.9898 161.1574 0.0088466943 162.00 +4 116.955 168.5338 0.00798348295 162.00 +5 116.9232 155.2945 0.00245865817 162.00 +1 106.731 87.054 0.00240416306 178.00 +2 106.6757 148.0467 0.003379497 178.00 +4 106.6228 154.6503 0.00276423588 178.00 +5 106.5709 142.8157 0.00316243577 178.00 +1 106.5121 86.9031 0.0026474516 178.00 +2 106.4685 147.7919 0.00280873637 178.00 +4 106.431 154.3923 0.00327429382 178.00 +5 106.3915 142.5964 0.00334125725 178.00 +1 106.342 86.7852 0.00280285569 178.00 +2 106.3145 147.59 0.00354682957 178.00 +4 106.2816 154.1906 0.00225033331 178.00 +5 106.2489 142.4253 0.00320327957 178.00 +1 97.2452 80.3573 0.00331978915 195.00 +2 97.1928 135.929 0.00182208672 195.00 +4 97.1444 141.856 0.00373095162 195.00 +5 97.1022 131.2668 0.00365732142 195.00 +1 97.04 80.2138 0.00318370853 195.00 +2 97.006 135.6877 0.00187643279 195.00 +4 96.9711 141.6129 0.00285464534 195.00 +5 96.9332 131.0597 0.00181135309 195.00 +1 96.8941 80.1025 0.00288530761 195.00 +2 96.8647 135.5047 0.00192379833 195.00 +4 96.8372 141.4317 0.00211683726 195.00 +5 96.8114 130.9027 0.00253001976 195.00 +1 88.4325 74.0457 0.00298345437 214.00 +2 88.3838 124.5448 0.00361054013 214.00 +4 88.3426 129.8452 0.00336392628 214.00 +5 88.3034 120.3978 0.0020774985 214.00 +1 88.249 73.9147 0.00301678637 214.00 +2 88.2175 124.3247 0.00338540987 214.00 +4 88.1893 129.6269 0.00396093423 214.00 +5 88.1559 120.2205 0.00224610774 214.00 +1 88.115 73.8206 0.00263134946 214.00 +2 88.0893 124.1654 0.00231170932 214.00 +4 88.0699 129.4662 0.00261074702 214.00 +5 88.0485 120.0767 0.00207870152 214.00 +1 80.7001 68.4462 0.00295567251 234.00 +2 80.6609 114.4471 0.00209499403 234.00 +4 80.6309 119.203 0.00241660919 234.00 +5 80.5955 110.7656 0.0029906521 234.00 +1 80.547 68.332 0.00225831796 234.00 +2 80.5221 114.2606 0.00209380037 234.00 +4 80.4975 119.0246 0.00242981481 234.00 +5 80.4682 110.6146 0.00228560714 234.00 +1 80.4345 68.2521 0.00213752193 234.00 +2 80.4145 114.1217 0.00311464284 234.00 +4 80.3963 118.8863 0.0016065491 234.00 +5 80.3763 110.4926 0.00315023809 234.00 +1 73.4657 63.1351 0.00146594679 257.00 +2 73.4316 104.8954 0.00361718122 257.00 +4 73.3998 109.1488 0.00274517759 257.00 +5 73.3663 101.6327 0.00223629157 257.00 +1 73.3222 63.0303 0.00237086482 257.00 +2 73.3044 104.7176 0.00229434086 257.00 +4 73.2852 108.9732 0.00180443897 257.00 +5 73.258 101.485 0.00228910463 257.00 +1 73.2256 62.9513 0.00172655727 257.00 +2 73.2048 104.5913 0.00222283603 257.00 +4 73.1919 108.8425 0.00173349358 257.00 +5 73.1754 101.3761 0.00150632002 257.00 +1 65.6264 57.2969 0.00342184161 288.00 +2 65.5914 94.3951 0.00322939623 288.00 +4 65.5603 98.0976 0.00269888866 288.00 +5 65.534 91.5838 0.0016297239 288.00 +1 65.4987 57.1998 0.00216702561 288.00 +2 65.4726 94.2297 0.00221833271 288.00 +4 65.4501 97.9437 0.0022318154 288.00 +5 65.4288 91.4506 0.00201593651 288.00 +1 65.3927 57.1256 0.00183956517 288.00 +2 65.3799 94.1081 0.0020709901 288.00 +4 65.3637 97.8253 0.00245377261 288.00 +5 65.3477 91.3434 0.00302059597 288.00 +1 62.5509 54.992 0.00235372046 302.00 +2 62.5204 90.2318 0.00352930588 302.00 +4 62.4945 93.736 0.00235372046 302.00 +5 62.4708 87.6076 0.00251077677 302.00 +1 62.4277 54.9045 0.00240104144 302.00 +2 62.4126 90.084 0.00183847763 302.00 +4 62.3975 93.5901 0.00317316876 302.00 +5 62.379 87.4904 0.00320374781 302.00 +1 62.3536 54.84 0.00191833261 302.00 +2 62.3361 89.9835 0.00211778186 302.00 +4 62.3205 93.4966 0.00353327044 302.00 +5 62.307 87.3994 0.00167451486 302.00 +1 60.9288 53.7648 0.0030423675 310.00 +2 60.9031 88.0413 0.00253791253 310.00 +4 60.8816 91.4297 0.00190814046 310.00 +5 60.8552 85.503 0.00156843871 310.00 +1 60.8232 53.6762 0.00143387587 310.00 +2 60.8025 87.8947 0.00288461436 310.00 +4 60.7844 91.2913 0.00309208667 310.00 +5 60.7667 85.3895 0.00291976026 310.00 +1 60.7398 53.6197 0.00210736803 310.00 +2 60.7293 87.8011 0.00240187427 310.00 +4 60.7164 91.1969 0.00126055543 310.00 +5 60.7072 85.311 0.00166132477 310.00 diff --git a/calib_data/calib2024-11-08_p0_c1.dat b/calib_data/calib2024-11-08_p0_c1.dat new file mode 100644 index 0000000..4754214 --- /dev/null +++ b/calib_data/calib2024-11-08_p0_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38678.65 30475.3 24469.51 1.29022866 +39606.53 30521.55 24505.24 1.39163214 +40682.55 26927.77 21801.44 1.36030879 +41712.55 21626.76 17775.41 1.24398151 +42724.56 17687.78 14707.47 0.868107136 +43738.52 14657.14 12352.87 1.42007394 +44747.53 12252.09 10443.23 2.11012085 +46030.57 10157.14 8760.51 0.52980185 +46960.58 8611.1 7500.01 0.352547869 +47890.58 7333.56 6446.08 0.396434105 +48820.58 6350.36 5624.82 0.417803782 +49776.63 5504 4910.203 0.192759176 +50727.48 4818.453 4328.614 0.105187452 +51694.50 4232.833 3825.288 0.182897786 +52624.61 3745.711 3402.322 0.138324257 +53555.73 3331.894 3040.496 0.118500633 +54485.70 2979.938 2729.615 0.119668292 +55415.70 2674.97 2459.165 0.190721 +56345.63 2410.842 2223.014 0.109637585 +57275.72 2178.876 2014.181 0.219460475 +58205.68 1979.366 1833.96 0.153205744 +59135.73 1802.099 1672.423 0.138304374 +60095.65 1644.491 1527.687 0.0507158752 +61075.65 1509.949 1405.046 0.0498838651 +62018.50 1372.17 1278.411 0.0415559863 +62991.54 1260.169 1175.258 0.0492503807 +63964.55 1159.343 1082.194 0.0366387773 +64940.59 1068.609 998.47 0.0349571166 +65916.56 981.671 918.082 0.0321496501 +66905.72 904.614 846.853 0.0519047204 +67905.65 835.703 783.295 0.0322567822 +68915.66 770.841 723.494 0.0427597942 +69934.58 710.456 667.935 0.0263153947 +70967.63 654.683 616.72 0.0375765885 +72030.59 601.793 568.088 0.0399449621 +73107.47 555.632 525.769 0.0295448811 +74242.60 510.238 484.0643 0.0203420992 +75432.53 469.4588 447.0277 0.0115430065 +76685.69 431.1407 411.9777 0.00810067898 +78026.54 396.116 380.0039 0.0109740148 +79498.63 363.7421 350.3965 0.0110256519 +81178.64 334.2204 323.3919 0.0155970831 +83035.73 306.2447 297.7668 0.0155472184 +85070.58 281.516 275.0918 0.00737265217 +88422.56 259.4164 254.7052 0.0105496919 +91783.58 237.6868 234.6815 0.0143200908 +95102.59 217.5175 215.9005 0.00933300595 +98509.53 198.9408 198.6714 0.0164263203 +101914.59 182.7774 183.5067 0.00961462428 +105525.61 165.638 167.4403 0.0180709989 +109116.51 151.2383 153.8424 0.00704726897 +112706.52 138.0879 141.352 0.00286705424 +116290.59 126.0819 129.8823 0.00331375919 +119960.60 114.4454 118.7238 0.00343161769 +123541.58 104.1742 108.7824 0.00250279843 +127032.56 95.0294 99.9012 0.00412019417 +130524.50 86.4735 91.5415 0.00489744832 +133976.51 78.6485 83.8333 0.00401011222 +137334.53 71.565 76.8407 0.00305630496 +140606.55 65.0222 70.3123 0.00434062208 +143126.52 62.0262 67.3123 0.00347001441 +145205.78 60.3754 65.6623 0.00318763235 diff --git a/calib_data/calib2024-11-08_p0_c2.dat b/calib_data/calib2024-11-08_p0_c2.dat new file mode 100644 index 0000000..b659854 --- /dev/null +++ b/calib_data/calib2024-11-08_p0_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38709.49 30473.4 31712.55 4.69651467 +39637.50 30518.32 31773.89 2.54937051 +40713.54 26930.71 28071.38 1.56906341 +41743.51 21626.89 22588.94 1.80262031 +42755.63 17678.09 18489.03 1.75254387 +43769.52 14659.68 15367.61 1.2700748 +44778.49 12231.18 12835.78 0.730999316 +46061.62 10157.23 10672.67 0.461746684 +46991.58 8610.64 9055.18 0.31394267 +47921.55 7334.15 7717.41 0.402355564 +48851.59 6349.71 6683.68 0.467504011 +49807.67 5503.21 5792.88 0.500759423 +50757.48 4817.983 5072.36 0.433405122 +51724.52 4232.828 4451.383 0.189968682 +52655.73 3745.537 3935.529 0.115103866 +53586.50 3331.641 3497.141 0.111404219 +54516.54 2979.768 3123.148 0.184574104 +55446.54 2674.812 2799.646 0.0954064987 +56376.67 2410.658 2518.73 0.133641311 +57306.63 2179.394 2272.062 0.0771336502 +58236.56 1979.678 2059.578 0.109295929 +59166.49 1802.592 1871.202 0.102720981 +60126.53 1644.311 1703.08 0.155280392 +61106.50 1510.003 1560.424 0.0289551377 +62049.46 1372.241 1414.298 0.0421141306 +63022.59 1260.226 1295.753 0.0467129532 +63995.75 1159.35 1189.407 0.0298345437 +64971.59 1068.648 1093.997 0.0520586208 +65947.51 981.781 1002.799 0.0426485639 +66936.53 904.629 922.351 0.0412177146 +67936.65 835.715 850.769 0.0484654516 +68946.49 770.821 783.715 0.0290258505 +69965.74 710.502 721.662 0.028733256 +70998.55 654.637 664.618 0.0508487955 +72061.59 601.786 610.685 0.050798622 +73137.52 555.497 563.658 0.0365732142 +74273.57 510.25 518.031 0.0475909655 +75463.53 469.4997 477.1383 0.0142968878 +76716.54 431.1438 438.7402 0.00984256064 +78057.51 396.0898 403.8501 0.0132864216 +79529.43 363.7201 371.5544 0.0175483333 +81209.52 334.1918 342.2561 0.0166616026 +83066.49 306.2132 314.4955 0.01710687 +85101.58 281.4873 289.9541 0.0129317052 +88453.56 259.342 267.9777 0.0156237319 +91814.57 237.6362 246.4614 0.0164269291 +95133.59 217.455 226.3844 0.00915117479 +98540.57 198.905 207.9524 0.014961417 +101945.71 182.705 191.7636 0.0149761143 +105556.56 165.6084 174.6262 0.0186299758 +109146.55 151.2082 160.2831 0.0126652675 +112737.48 138.0594 146.9938 0.00459739056 +116321.59 126.0585 134.8644 0.00445466048 +119991.61 114.4267 123.0817 0.00523459645 +123572.58 104.1575 112.6204 0.00659272326 +127063.56 95.0123 103.2886 0.00590118632 +130555.65 86.4647 94.5139 0.00334499626 +134007.55 78.6258 86.4343 0.00484159065 +137365.65 71.5547 79.1146 0.00356987395 +140637.67 65.0098 72.3011 0.00344804292 +143157.52 62.0115 69.1692 0.00358273638 +145236.57 60.3625 67.4489 0.00452868634 diff --git a/calib_data/calib2024-11-08_p0_c4.dat b/calib_data/calib2024-11-08_p0_c4.dat new file mode 100644 index 0000000..f4976d3 --- /dev/null +++ b/calib_data/calib2024-11-08_p0_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38740.57 30468.68 27008.48 1.3224069 +39667.54 30519.02 27048.82 1.73998851 +40744.54 26930.92 24074.78 1.33062391 +41774.55 21629.29 19635.14 2.94904052 +42786.64 17661.05 16240.79 1.89665231 +43800.56 14677.4 13659.47 1.54032789 +44809.44 12232.8 11529.28 1.94421192 +46092.58 10157.66 9685.46 0.450821472 +47022.58 8610.44 8294.78 0.549326861 +47952.54 7334.32 7132.3 0.483735465 +48882.59 6351.03 6225.73 0.317505905 +49837.52 5502.24 5437.29 0.492838716 +50787.48 4818.157 4792.586 0.133769952 +51755.64 4232.793 4235.713 0.138679847 +52686.49 3745.449 3768.218 0.142715101 +53617.54 3331.809 3367.708 0.167175357 +54547.54 2979.561 3023.449 0.1058532 +55477.55 2674.609 2723.365 0.088524008 +56407.51 2410.692 2462.016 0.0677967551 +57337.48 2179.712 2231.086 0.126342392 +58267.52 1979.427 2030.614 0.0994907031 +59196.56 1802.627 1851.369 0.0891566038 +60157.65 1644.243 1691.174 0.123856368 +61136.54 1510.057 1554.705 0.0437549997 +62080.58 1372.288 1414.055 0.0354189215 +63053.55 1260.23 1299.109 0.0353680647 +64026.55 1159.409 1195.879 0.0405080239 +65002.60 1068.607 1102.725 0.0557539236 +65978.68 981.775 1013.458 0.041080409 +66967.52 904.534 934.219 0.0548169682 +67967.49 835.742 863.628 0.0592418771 +68977.66 770.783 797.061 0.0452205705 +69996.50 710.543 735.194 0.0517918913 +71029.42 654.701 678.364 0.0589610041 +72092.51 601.812 624.33 0.0303315018 +73167.64 555.463 577.151 0.036727374 +74304.57 510.164 531.215 0.0341540627 +75494.53 469.4978 489.8489 0.0129649142 +76747.50 431.1224 450.9467 0.0149906971 +78087.50 396.0907 415.4505 0.0148984899 +79560.60 363.7057 382.6049 0.0136333782 +81240.60 334.1763 352.7113 0.011609522 +83097.49 306.1848 324.3295 0.0167488806 +85132.54 281.4672 299.1994 0.0178959213 +88484.52 259.2867 276.6401 0.015123128 +91845.66 237.5974 254.5268 0.0183536372 +95164.60 217.4338 233.8551 0.0153378291 +98571.62 198.872 214.8621 0.00782617403 +101976.55 182.6478 198.2049 0.0104951894 +105587.49 165.5659 180.5083 0.0119983749 +109176.47 151.1647 165.6935 0.0130661777 +112768.49 138.0322 151.9207 0.00656361181 +116352.59 126.0305 139.3784 0.00186118242 +120022.56 114.4062 127.2006 0.00419332803 +123603.58 104.1378 116.3753 0.00334678951 +127094.55 94.9909 106.6967 0.0044588115 +130586.49 86.4569 97.6401 0.00412904347 +134038.56 78.611 89.2776 0.00499039077 +137396.57 71.5439 81.7026 0.00441633332 +140668.63 65.0039 74.6669 0.00415078306 +143187.52 62.0022 71.4216 0.00610933712 +145267.50 60.3493 69.6453 0.00456081133 diff --git a/calib_data/calib2024-11-08_p1_c1.dat b/calib_data/calib2024-11-08_p1_c1.dat new file mode 100644 index 0000000..7e88647 --- /dev/null +++ b/calib_data/calib2024-11-08_p1_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38776.54 30466.96 24433.91 7.41059309 +39703.58 30512.79 24494.52 1.1441853 +40780.59 26926.86 21805.68 1.54504369 +41810.59 21626.69 17777.01 2.20156535 +42822.56 17673.16 14725.41 1.1839299 +43836.49 14674.11 12383.69 2.47800121 +44845.69 12256.03 10439.84 1.88760165 +46128.46 10157.43 8760.3 0.527825729 +47058.66 8609.64 7499.65 0.539675829 +47988.63 7332.06 6445.95 0.349928564 +48918.50 6352.1 5625.51 0.558650159 +49872.55 5503.33 4909.811 0.130195622 +50822.55 4819.022 4328.889 0.127267042 +51791.56 4232.418 3824.921 0.155508521 +52722.57 3745.657 3402.165 0.101658743 +53652.57 3331.776 3040.49 0.137847742 +54582.58 2979.429 2729.299 0.127251326 +55512.58 2674.399 2459.053 0.151453293 +56443.55 2411.051 2222.938 0.13918908 +57372.60 2179.69 2014.153 0.0639069636 +58302.60 1979.604 1833.356 0.154137601 +59232.60 1802.573 1672.454 0.0851140411 +60192.53 1644.521 1527.532 0.0554941438 +61172.58 1510.004 1405.011 0.0385084406 +62116.54 1372.335 1278.464 0.0443215523 +63089.50 1260.17 1175.2 0.0262678511 +64062.59 1159.452 1082.14 0.0399749922 +65038.51 1068.802 998.318 0.0393903541 +66014.56 981.807 917.999 0.0476959118 +67003.56 904.615 846.668 0.0390589298 +68002.65 835.556 783.194 0.0412601503 +69013.57 770.717 723.44 0.0416173041 +70031.62 710.476 667.967 0.0460662566 +71065.70 654.909 616.695 0.031344856 +72128.68 601.641 568.173 0.0569570013 +73203.57 555.473 525.576 0.0375819105 +74340.60 510.135 484.0885 0.0100729837 +75530.61 469.4568 447.0377 0.0102323507 +76782.62 431.0866 411.9648 0.00690478095 +78122.59 396.0886 379.9475 0.00712355248 +79596.51 363.6239 350.3731 0.0123429737 +81276.57 334.1517 323.3329 0.0156412595 +83132.53 306.1544 297.7069 0.0196348924 +85168.50 281.4303 274.966 0.0160068735 +88520.60 259.2293 254.5595 0.00811326075 +91881.58 237.5475 234.5561 0.0118485864 +95200.59 217.3224 215.7774 0.00948071727 +98607.61 198.8316 198.5685 0.0117696644 +102012.59 182.5951 183.4563 0.0141908774 +105622.57 165.5189 167.3428 0.012057197 +109211.59 151.1284 153.7637 0.00432215224 +112804.60 138.001 141.2714 0.00343278313 +116388.63 125.9977 129.8234 0.00405018518 +120058.64 114.395 118.658 0.00597159945 +123639.46 104.1287 108.7248 0.00324899985 +127130.60 94.9648 99.8526 0.00453916292 +130621.53 86.4424 91.4945 0.00668917035 +134074.55 78.6118 83.783 0.00323728281 +137432.53 71.5217 76.7855 0.00448385994 +140704.51 64.9844 70.2762 0.00309127805 +143222.60 62.0062 67.2732 0.00353496818 +145302.65 60.3464 65.6241 0.0041915391 diff --git a/calib_data/calib2024-11-08_p1_c2.dat b/calib_data/calib2024-11-08_p1_c2.dat new file mode 100644 index 0000000..5bf6d4b --- /dev/null +++ b/calib_data/calib2024-11-08_p1_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38807.49 30459.19 31713.09 1.10629562 +39734.54 30509.78 31762.34 0.847844325 +40811.59 26922.51 28070.43 1.58953138 +41841.59 21624.1 22594.72 0.982527353 +42853.56 17676.91 18486.56 2.10129484 +43867.68 14669.85 15391.27 3.41350406 +44876.52 12240.9 12844.58 2.52098393 +46159.53 10156.5 10671.97 0.465413794 +47089.49 8609.4 9055.93 0.253001976 +48019.50 7332.56 7716.4 0.502195181 +48949.51 6349.98 6684.22 0.319937494 +49903.56 5503.31 5792.37 0.459575891 +50853.56 4818.456 5071.89 0.284059853 +51822.56 4232.307 4451.239 0.152344675 +52753.57 3745.461 3935.563 0.115603201 +53683.57 3332.096 3496.969 0.144799517 +54613.54 2979.186 3122.772 0.118918459 +55543.54 2674.59 2799.647 0.155087395 +56474.55 2411.121 2518.471 0.141353811 +57403.59 2179.692 2272.138 0.169297372 +58333.60 1979.524 2059.56 0.159160297 +59263.56 1802.495 1871.278 0.074602949 +60223.53 1644.342 1703.392 0.124786217 +61203.53 1510.115 1560.233 0.0373911754 +62147.50 1372.237 1414.507 0.0320327957 +63120.59 1260.171 1295.673 0.0464338239 +64093.58 1159.366 1189.313 0.0437732795 +65069.41 1068.619 1093.911 0.0454411708 +66045.72 981.747 1002.876 0.0595012605 +67034.52 904.497 922.319 0.058351521 +68033.61 835.696 850.819 0.0384304567 +69044.50 770.805 783.616 0.0354739341 +70062.58 710.436 721.635 0.0342125708 +71096.55 654.698 664.648 0.0429138672 +72159.52 601.783 610.613 0.0282506637 +73234.55 555.321 563.446 0.0732966575 +74371.60 510.135 518.028 0.0486374341 +75561.61 469.4658 477.1362 0.011171213 +76813.50 431.1165 438.7504 0.0129376969 +78153.62 396.0717 403.802 0.0201131798 +79627.51 363.6567 371.5594 0.019187079 +81307.48 334.1386 342.193 0.0116713324 +83163.57 306.1398 314.3917 0.0171067531 +85199.50 281.4026 289.8617 0.0167595048 +88551.60 259.2135 267.8255 0.0158979558 +91912.58 237.5031 246.3202 0.0101339035 +95231.59 217.3244 226.2644 0.0137798403 +98638.65 198.7898 207.8088 0.011704529 +102043.59 182.611 191.6343 0.014067729 +105653.57 165.4987 174.5471 0.00972260253 +109242.54 151.1115 160.2228 0.0104074973 +112835.77 137.9776 146.9034 0.00337105325 +116419.46 125.9667 134.7699 0.00436451601 +120089.52 114.3714 123.0087 0.00538340041 +123670.58 104.1079 112.5573 0.00389628028 +127161.56 94.9539 103.2201 0.00255127419 +130652.54 86.4188 94.4545 0.00536516542 +134105.76 78.5852 86.3984 0.00335320742 +137463.53 71.5168 79.0737 0.00503199762 +140735.67 64.973 72.2623 0.00266477016 +143253.56 61.9871 69.1411 0.00367545915 +145333.61 60.3404 67.4111 0.004817572 diff --git a/calib_data/calib2024-11-08_p1_c4.dat b/calib_data/calib2024-11-08_p1_c4.dat new file mode 100644 index 0000000..ac0545f --- /dev/null +++ b/calib_data/calib2024-11-08_p1_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38837.49 30456.46 26994.63 1.8912985 +39765.74 30504.05 27037.92 1.42518771 +40842.59 26920.5 24073.6 1.62609963 +41872.56 21625.8 19624.72 2.2396339 +42884.56 17670.2 16274.59 1.88983862 +43897.52 14666.72 13668.69 1.52489016 +44907.49 12232.84 11525.15 1.15293105 +46190.58 10155.89 9684.4 0.300998339 +47120.58 8609.94 8293.35 0.645639218 +48050.59 7332.42 7130.39 0.501487786 +48980.59 6350.41 6225.91 0.329378202 +49934.55 5502.5 5436.24 0.335916656 +50884.56 4818.563 4793.049 0.155791206 +51853.52 4232.635 4235.887 0.0992678196 +52784.56 3745.233 3768.374 0.130139925 +53714.61 3332.489 3367.897 0.159681245 +54644.58 2979.252 3023.269 0.106239823 +55574.55 2674.713 2723.385 0.148998322 +56505.67 2410.995 2461.86 0.128903064 +57434.55 2179.495 2231.337 0.125698449 +58364.56 1979.537 2030.604 0.0694435022 +59294.56 1802.466 1851.347 0.150459629 +60254.53 1644.357 1691.222 0.0972399095 +61234.50 1510.065 1554.561 0.0416040863 +62177.50 1372.329 1414.034 0.0363097783 +63151.58 1260.215 1299.221 0.0372411063 +64124.55 1159.413 1195.847 0.0370148619 +65100.59 1068.638 1102.717 0.0379486495 +66076.56 981.809 1013.511 0.056079408 +67065.65 904.564 934.159 0.0399111513 +68064.57 835.734 863.456 0.0280784615 +69075.66 770.816 797.045 0.0320390387 +70093.58 710.471 735.321 0.0385084406 +71127.63 654.607 678.449 0.054597619 +72190.59 601.834 624.364 0.0435935775 +73265.68 555.385 577.012 0.0424216926 +74402.60 510.049 531.074 0.0353043907 +75592.58 469.4814 489.8403 0.0120324977 +76844.62 431.122 450.8992 0.0107589962 +78184.62 396.0855 415.4181 0.013247981 +79657.51 363.6764 382.6102 0.0142413483 +81337.56 334.1279 352.6031 0.0208664563 +83194.57 306.1287 324.261 0.0120299626 +85230.58 281.364 299.0558 0.0138251944 +88582.56 259.1575 276.4752 0.0158901227 +91943.62 237.4793 254.3867 0.0167624879 +95262.55 217.2832 233.7079 0.0142481227 +98669.45 198.7604 214.731 0.0163438062 +102074.55 182.5845 198.0695 0.0118019066 +105684.57 165.4611 180.3877 0.0118659597 +109273.55 151.0842 165.5868 0.0207175288 +112866.53 137.9518 151.8271 0.00485685083 +116450.59 125.9506 139.2972 0.0029488981 +120120.56 114.3504 127.13 0.00337342556 +123701.58 104.0767 116.3053 0.0047498421 +127192.52 94.941 106.6478 0.00354626564 +130683.58 86.3992 97.5893 0.0032095171 +134136.52 78.577 89.2282 0.00384915575 +137494.54 71.5157 81.6632 0.00284885942 +140766.51 64.9604 74.6302 0.00479749935 +143284.56 61.9799 71.3885 0.00437092668 +145364.57 60.3334 69.613 0.00481040539 diff --git a/calib_data/calib2024-11-08_p2_c1.dat b/calib_data/calib2024-11-08_p2_c1.dat new file mode 100644 index 0000000..5aadb0d --- /dev/null +++ b/calib_data/calib2024-11-08_p2_c1.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38872.54 30477.45 24465.6 1.32181693 +39801.58 30495.09 24490.1 1.01380471 +40878.59 26924.4 21805.91 1.43641568 +41908.63 21640.13 17765.5 2.20997738 +42920.60 17681.39 14710.34 0.630111101 +43933.53 14661.71 12372.66 2.4856468 +44942.64 12234.27 10440.06 2.55081164 +46226.66 10155.92 8758.76 0.488917171 +47156.50 8608.4 7499.77 0.288461436 +48086.50 7332.14 6445.68 0.485345238 +49016.59 6349.81 5625.08 0.547868597 +49970.59 5503.53 4909.842 0.116084452 +50920.60 4818.525 4328.686 0.128710528 +51889.45 4232.509 3824.935 0.156283396 +52820.57 3745.391 3402.265 0.0988964105 +53750.61 3332.395 3040.282 0.0683637331 +54680.58 2979.04 2728.953 0.131545049 +55610.58 2674.543 2458.614 0.0855827085 +56541.54 2410.364 2222.909 0.127125529 +57470.60 2178.676 2014.566 0.0679882343 +58400.60 1979.537 1833.648 0.180802655 +59330.57 1802.565 1672.681 0.107865194 +60290.57 1644.392 1527.566 0.0596690875 +61270.57 1510.048 1405.024 0.0474172964 +62212.61 1372.259 1278.375 0.0338008876 +63187.50 1260.099 1175.263 0.0506171908 +64160.59 1159.355 1082.136 0.0189314553 +65136.52 1068.74 998.423 0.0487042093 +66112.56 981.709 918.041 0.0612935559 +67101.56 904.664 846.812 0.0452061943 +68100.62 835.692 783.343 0.0495792295 +69111.54 770.808 723.545 0.0395284708 +70129.50 710.654 668.001 0.0432539016 +71163.51 654.651 616.781 0.0493852205 +72226.55 601.66 568.243 0.0397756207 +73301.56 555.247 525.434 0.0358664188 +74438.52 510.147 484.0546 0.0166986227 +75628.49 469.4566 447.0047 0.0145162323 +76880.62 431.0485 411.9763 0.01624503 +78220.59 396.0633 379.9235 0.0125293655 +79692.55 363.668 350.3184 0.0130385582 +81372.60 334.0681 323.271 0.0131954538 +83230.57 306.0728 297.6122 0.0199533456 +85266.68 281.3226 274.897 0.0128848749 +88618.52 259.1132 254.4009 0.00976775307 +91979.45 237.4377 234.4259 0.0160227651 +95298.63 217.2117 215.6847 0.00880346523 +98704.57 198.7453 198.4637 0.0197063695 +102110.59 182.5611 183.311 0.0119054609 +105720.60 165.4276 167.2443 0.0153948368 +109309.43 151.0447 153.6796 0.00485427647 +112902.61 137.9126 141.1953 0.00367164813 +116486.63 125.9266 129.739 0.00358887169 +120156.57 114.3231 118.59 0.00347850543 +123737.50 104.0635 108.6674 0.00329302293 +127228.48 94.9283 99.7898 0.00514353964 +130719.50 86.3918 91.4575 0.00297405447 +134172.59 78.5597 83.7557 0.00578973229 +137530.58 71.5027 76.7666 0.00349055869 +140801.59 64.9695 70.2467 0.00357784852 +143320.60 61.9642 67.247 0.00407921561 +145400.61 60.3193 65.6077 0.00208830074 diff --git a/calib_data/calib2024-11-08_p2_c2.dat b/calib_data/calib2024-11-08_p2_c2.dat new file mode 100644 index 0000000..5b69b43 --- /dev/null +++ b/calib_data/calib2024-11-08_p2_c2.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38903.62 30492.26 31741.41 1.63434696 +39832.58 30494.33 31748.48 1.25162295 +40909.50 26924.9 28068.22 1.67486119 +41939.51 21645.29 22598.64 1.35817525 +42951.52 17686.06 18500.68 1.83121817 +43964.52 14668.63 15376.66 1.11276233 +44973.61 12239.48 12852.59 2.2444799 +46257.61 10155.11 10670.91 0.308366665 +47187.62 8608.53 9055.14 0.38709172 +48117.62 7333.05 7717.35 0.569078202 +49047.63 6349.54 6682.98 0.463422054 +50001.55 5502.94 5791.15 0.429010489 +50951.56 4818.15 5072.2 0.235796522 +51920.56 4232.874 4451.23 0.143331783 +52851.65 3745.554 3935.596 0.117899958 +53781.57 3332.319 3497.574 0.120782449 +54711.57 2979.22 3122.954 0.1255245 +55641.58 2675.011 2799.371 0.144446876 +56572.55 2410.775 2518.598 0.206880642 +57501.60 2178.856 2272.001 0.153593294 +58431.60 1979.434 2059.618 0.145181266 +59361.56 1802.44 1871.409 0.17314416 +60321.54 1644.419 1703.497 0.143297244 +61301.54 1510.015 1560.458 0.0589202851 +62243.58 1372.209 1414.269 0.0489581454 +63217.50 1260.219 1295.789 0.0506645833 +64191.59 1159.378 1189.339 0.0528857259 +65167.63 1068.776 1093.957 0.0470754713 +66143.52 981.691 1002.829 0.0581283064 +67132.56 904.584 922.24 0.0594138031 +68131.61 835.616 850.866 0.0404771541 +69142.58 770.856 783.616 0.0462428373 +70160.58 710.514 721.639 0.0601739146 +71194.51 654.751 664.6 0.0429185275 +72257.52 601.792 610.658 0.0375179957 +73332.56 555.216 563.567 0.0431752244 +74469.53 510.172 517.913 0.0364431063 +75659.49 469.4625 477.1045 0.0168263187 +76911.58 431.0921 438.7035 0.019735881 +78251.59 396.0939 403.7677 0.016451778 +79723.55 363.6333 371.5357 0.0130284688 +81403.61 334.0724 342.1144 0.0125133529 +83261.58 306.0723 314.3258 0.0196243726 +85297.54 281.2729 289.756 0.0131316412 +88649.52 259.0544 267.6552 0.0199127095 +92010.58 237.3741 246.206 0.0150983443 +95329.51 217.1834 226.122 0.0193886565 +98735.78 198.6767 207.7005 0.00931584671 +102141.59 182.4847 191.5394 0.0180694217 +105751.57 165.4123 174.4647 0.0104594933 +109340.59 151.0221 160.1264 0.0100321483 +112933.60 137.8985 146.8193 0.0024333105 +116517.50 125.9074 134.7159 0.0058042226 +120187.52 114.3102 122.9462 0.00671833313 +123767.50 104.0359 112.4963 0.004238042 +127259.52 94.8967 103.165 0.0045033321 +130750.57 86.3729 94.4158 0.00450732737 +134203.56 78.5408 86.3492 0.00476822818 +137561.53 71.4814 79.0376 0.00402541923 +140832.60 64.9578 72.2311 0.00431381502 +143351.56 61.9449 69.0981 0.00392542991 +145431.49 60.3043 67.3873 0.00186037631 diff --git a/calib_data/calib2024-11-08_p2_c4.dat b/calib_data/calib2024-11-08_p2_c4.dat new file mode 100644 index 0000000..59e6cd3 --- /dev/null +++ b/calib_data/calib2024-11-08_p2_c4.dat @@ -0,0 +1,64 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +#38934.53 30507.1 27035.86 0.666663333 +39863.54 30494.4 27032.51 0.970097933 +40940.59 26928.86 24073.52 1.77441821 +41970.59 21638.21 19636.27 1.85094841 +42982.55 17681.79 16285.99 3.23006037 +43995.73 14668.98 13667.73 1.11229942 +45004.56 12244.58 11527.3 0.644049688 +46288.54 10155.44 9684.46 0.238830484 +47218.62 8609.02 8291.81 0.412662089 +48148.51 7332.93 7132.44 0.554472723 +49077.63 6350.02 6224.92 0.210142809 +50032.55 5502.52 5436.69 0.420107129 +50982.52 4818.323 4792.623 0.137113457 +51951.56 4232.932 4235.608 0.114366079 +52882.57 3745.201 3768.2 0.193463175 +53812.57 3332.425 3368.212 0.118387499 +54742.58 2979.443 3022.922 0.0872444841 +55672.59 2674.972 2723.484 0.133380658 +56603.51 2410.869 2462.172 0.130811314 +57532.56 2179.089 2231.178 0.122831592 +58462.60 1979.585 2030.566 0.0949968421 +59392.61 1802.581 1852.072 0.118412837 +60352.57 1644.296 1691.49 0.125713961 +61332.49 1510.009 1554.519 0.0583000858 +62274.58 1372.28 1413.955 0.0416713331 +63247.51 1260.324 1299.193 0.0367980978 +64222.59 1159.406 1195.836 0.0372880678 +65198.64 1068.754 1102.816 0.0397290825 +66174.57 981.658 1013.393 0.027204779 +67163.57 904.53 934.247 0.0315927207 +68162.57 835.639 863.499 0.0559365712 +69173.58 770.926 797.07 0.0404722127 +70191.59 710.473 735.312 0.0481414582 +71225.71 654.81 678.49 0.0442718872 +72287.59 601.814 624.335 0.055285622 +73363.56 555.196 577.035 0.0260096136 +74500.60 510.114 531.111 0.0402106951 +75690.62 469.4529 489.8329 0.00788600025 +76942.62 431.1011 450.9182 0.0132565456 +78282.55 396.0887 415.4261 0.0159470687 +79754.56 363.6247 382.5998 0.0152864646 +81434.60 334.0349 352.5461 0.0107586709 +83292.55 306.0665 324.16 0.0149445642 +85327.51 281.2312 298.9942 0.0147775505 +88680.60 259.01 276.3715 0.0131607371 +92041.62 237.3601 254.2111 0.0112396174 +95360.59 217.1492 233.586 0.0133259146 +98766.53 198.6266 214.6168 0.018019323 +102172.63 182.4674 197.9668 0.011365562 +105782.61 165.3981 180.3015 0.00781952684 +109371.58 150.994 165.4945 0.0176975987 +112964.61 137.8773 151.7475 0.00506211418 +116547.50 125.8857 139.2356 0.00501437932 +120217.56 114.2927 127.0615 0.00247891105 +123797.50 104.0221 116.2464 0.00386574702 +127290.60 94.8854 106.5901 0.00332400361 +130781.62 86.3553 97.5437 0.00447448321 +134234.59 78.5401 89.1884 0.00257371327 +137592.53 71.4794 81.6282 0.00347793042 +140863.60 64.949 74.5971 0.00389987179 +143382.60 61.9345 71.3497 0.00376311042 +145462.61 60.3052 69.5877 0.00547366422 diff --git a/calib_data/calib2024-12-06_p0_c1.dat b/calib_data/calib2024-12-06_p0_c1.dat new file mode 100644 index 0000000..ab91512 --- /dev/null +++ b/calib_data/calib2024-12-06_p0_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +41996.52 18736.18 25480.67 26.8026232 +49561.60 13556.51 18154.65 1.55719299 +52019.41 11257.92 14958.37 1.64079554 +54442.59 9484.38 12504.09 1.7455343 +57045.72 8066.23 10545.95 2.26888739 +59618.41 6860.92 8898.62 3.63765859 +62164.62 5908.44 7605.77 0.861748223 +64611.59 5176.63 6611.22 1.55549349 +76093.58 4252.251 5377.106 0.320000625 +78298.43 3866.932 4858.837 0.516906278 +80508.43 3503.256 4372.911 0.197638306 +82738.41 3177.796 3939.663 0.688334294 +84948.42 2887.321 3555.976 0.523994656 +87182.59 2628.482 3215.129 0.181148834 +89422.60 2399.263 2914.656 0.0772683635 +91640.57 2194.897 2648.008 0.253999213 +93862.58 2013.557 2412.834 0.13939297 +96078.43 1849.628 2201.007 0.101951459 +98321.61 1698.803 2007.726 0.123249341 +100585.73 1563.438 1835.643 0.168932235 +102842.55 1442.144 1681.816 0.146247735 +105088.45 1330.501 1540.124 0.0268774999 +107336.49 1227.822 1411.616 0.0296378137 +109598.42 1134.152 1295.394 0.0429930227 +111860.59 1048.552 1189.787 0.0580870037 +114133.60 970.845 1094.734 0.0349342239 +116428.46 895.962 1003.979 0.0376417322 +118735.75 829.023 923.428 0.0398697881 +121090.60 765.61 847.837 0.0202509259 +123452.57 709.027 781.078 0.0153492671 +125879.42 653.948 716.58 0.0286006993 +128361.59 603.307 657.856 0.0255812431 +130909.45 556.86 604.436 0.0218265893 +133550.57 514.441 556.19 0.0253771551 +136286.47 473.4636 510.01 0.0404722127 +139110.61 435.6499 467.4362 0.012415152 +142198.42 401.2786 429.1596 0.00534265851 +145390.60 369.1071 393.5674 0.00766054828 +149879.54 339.341 360.8182 0.0104266965 +153748.44 311.6814 330.565 0.00887580982 +157738.42 286.3559 302.9877 0.00452117241 +161819.44 263.1666 277.8586 0.0134923682 +166053.50 241.5362 254.5173 0.00953734764 +170408.44 221.4569 232.9131 0.00376948272 +174820.58 202.9574 213.0911 0.00798179178 +179358.48 186.0784 195.0241 0.00987466455 +183985.67 169.991 177.8883 0.00838933847 +188683.56 155.04 162.0794 0.0119934982 +193314.63 141.491 147.6501 0.00449544214 +198003.49 129.0281 134.4957 0.00335276006 +202629.43 117.8197 122.69 0.00375765885 +207328.45 107.067 111.4004 0.00313113398 +211950.60 97.5694 101.4599 0.00339838197 +216571.58 88.7547 92.2667 0.00451009978 +221108.48 81.057 84.2508 0.0033430525 +225640.58 73.7603 76.679 0.00343511281 +230235.76 65.8953 68.5408 0.00144775689 +233926.42 62.8157 65.3648 0.0017538529 +237015.63 61.1814 63.6768 0.00247709507 diff --git a/calib_data/calib2024-12-06_p0_c2.dat b/calib_data/calib2024-12-06_p0_c2.dat new file mode 100644 index 0000000..a1277c1 --- /dev/null +++ b/calib_data/calib2024-12-06_p0_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42087.45 18715.13 17977.81 10.142864 +49652.60 13551.29 13082.95 1.32606561 +52110.58 11250.7 10908.58 0.810407305 +54533.59 9480.88 9224.12 0.515519156 +57136.44 8062.74 7867.97 0.616124987 +59708.41 6859.35 6710.68 0.364910948 +62255.75 5907.29 5790.81 0.310950157 +64702.60 5176.03 5078.04 0.1877232 +76183.58 4254.844 4186.791 0.220469726 +78388.43 3867.33 3802.68 0.0969948452 +80598.44 3503.283 3441.593 0.0619846755 +82828.41 3177.364 3118.092 0.0556740514 +85038.42 2886.956 2829.461 0.0540823446 +87273.59 2628.059 2572.075 0.0911070799 +89513.57 2398.907 2343.351 0.0406804621 +91731.57 2194.381 2139.584 0.0376085097 +93953.58 2013.183 1958.899 0.0865384308 +96168.43 1849.134 1795.234 0.0806994424 +98412.60 1698.494 1645.225 0.0619233397 +100678.42 1563.172 1510.363 0.0230239006 +102933.64 1441.909 1389.714 0.022680388 +105178.44 1330.282 1278.735 0.0227705951 +107427.40 1227.624 1176.983 0.0254184972 +109688.42 1133.934 1084.323 0.0218197159 +111951.60 1048.386 999.943 0.0304318912 +114224.52 970.681 923.514 0.0206009709 +116519.42 895.807 850.32 0.0212132034 +118826.47 828.863 785.037 0.0219567757 +121181.59 765.473 723.532 0.0237402612 +123543.60 708.918 668.918 0.026487733 +125970.58 653.87 616.027 0.0282152441 +128452.59 603.169 567.535 0.0225055549 +131000.57 556.783 523.344 0.0224588513 +133641.57 514.347 482.977 0.00806473806 +136377.43 473.3657 444.4136 0.00888841943 +139201.57 435.5351 408.7998 0.00477660968 +142288.39 401.1904 376.5587 0.00982756328 +145481.59 369.0009 346.4728 0.00835918656 +149970.58 339.2181 318.7114 0.00912491096 +153838.48 311.5515 292.9386 0.00803517268 +157828.41 286.2333 269.3518 0.0067864571 +161910.60 263.0482 247.8155 0.00775145148 +166143.54 241.4241 227.7234 0.00576055553 +170498.44 221.3445 209.0715 0.00904350596 +174911.58 202.867 191.8778 0.00596623835 +179448.44 185.9759 176.1868 0.00757733462 +184076.51 169.9051 161.2264 0.00602528008 +188773.57 154.9644 147.3248 0.0035519009 +193405.83 141.4155 134.687 0.00444297198 +198093.49 128.9628 123.0933 0.00375246586 +202720.63 117.7589 112.6376 0.003575472 +207419.45 107.0115 102.6068 0.00324592052 +212041.59 97.5144 93.7452 0.00271587923 +216662.65 88.7146 85.5212 0.00293189359 +221198.45 81.0166 78.3254 0.00228122774 +225731.58 73.7239 71.5129 0.00244724335 +230326.56 65.8586 64.1745 0.0035503521 +234017.51 62.7846 61.3055 0.00319765539 +237106.44 61.1535 59.7803 0.00174384632 diff --git a/calib_data/calib2024-12-06_p0_c4.dat b/calib_data/calib2024-12-06_p0_c4.dat new file mode 100644 index 0000000..863d092 --- /dev/null +++ b/calib_data/calib2024-12-06_p0_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42178.45 18742.71 12637.2 7.83224106 +49743.60 13548.22 9439.96 1.32251276 +52201.57 11245.48 7970.49 0.545426439 +54624.62 9476.49 6817.53 0.538525765 +57227.43 8059.87 5877.21 0.412662089 +59798.41 6857.62 5066.63 0.316559631 +62346.47 5907.18 4411.876 0.203731195 +64793.60 5175.36 3902.14 0.0998398718 +76273.57 4257.326 3254.407 0.133244512 +78479.43 3867.688 2973.148 0.0748438374 +80689.44 3503.332 2707.689 0.0790246797 +82918.45 3177.165 2467.765 0.0470372193 +85128.42 2886.648 2252.305 0.0846197377 +87363.60 2627.675 2058.745 0.105425329 +89603.61 2398.585 1885.746 0.0726663609 +91822.57 2194.11 1730.526 0.0783989796 +94043.50 2012.936 1592.054 0.0667712513 +96258.44 1848.834 1465.514 0.0344441577 +98503.57 1698.432 1349.185 0.0263153947 +100773.57 1562.981 1244.426 0.0195550505 +103024.63 1441.798 1149.83 0.0164316767 +105268.44 1330.084 1062.4 0.0317175031 +107518.45 1227.488 981.774 0.0141562707 +109778.43 1133.795 908.035 0.0258166613 +112042.59 1048.21 840.583 0.0203002463 +114315.64 970.49 779.238 0.0178213355 +116610.57 895.688 720.145 0.0197610728 +118917.42 828.74 667.245 0.0233345238 +121272.60 765.319 617.219 0.0302473139 +123634.49 708.78 572.632 0.0266758318 +126061.58 653.775 529.193 0.0213096222 +128543.59 603.1 489.0903 0.00612217282 +131091.60 556.749 452.5382 0.00797094725 +133732.62 514.323 419.16 0.0109918151 +136468.43 473.2793 387.0005 0.00578143581 +139292.52 435.4378 357.1941 0.00887068205 +142378.42 401.0999 330.134 0.00778203058 +145572.48 368.9008 304.7553 0.00801130451 +150061.62 339.0965 281.1962 0.00913980306 +153929.44 311.416 259.3117 0.0114804617 +157918.49 286.096 239.238 0.00986610359 +162001.64 262.9278 220.8111 0.00798304453 +166234.58 241.3219 203.5753 0.00494378398 +170588.44 221.2372 187.5008 0.0159679679 +175002.62 202.7679 172.6496 0.00576229121 +179539.45 185.8848 159.0414 0.0102099951 +184167.42 169.828 145.982 0.00285306852 +188864.64 154.8972 133.8827 0.00313703682 +193496.51 141.3345 122.8061 0.00289637705 +198183.49 128.9012 112.6125 0.00319452657 +202811.60 117.698 103.3875 0.00436634859 +207510.58 106.9601 94.5155 0.0032596012 +212132.68 97.4685 86.6478 0.00274153242 +216753.66 88.6701 79.3293 0.0031434058 +221288.45 80.9774 72.9141 0.00209976189 +225822.69 73.6894 66.8128 0.00216702561 +230417.45 65.8272 60.2178 0.00271955879 +234108.43 62.7574 57.6351 0.0027765086 +237197.48 61.1246 56.258 0.00342636834 diff --git a/calib_data/calib2024-12-06_p0_c5.dat b/calib_data/calib2024-12-06_p0_c5.dat new file mode 100644 index 0000000..4d5c715 --- /dev/null +++ b/calib_data/calib2024-12-06_p0_c5.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42268.44 18760.93 22892.35 25.3596619 +49834.60 13544.37 16461.91 0.932893349 +52292.61 11239.69 13628.84 0.64283746 +54715.75 9473.03 11469.54 1.11491704 +57318.44 8057.37 9741.11 0.431381502 +59888.41 6856.24 8283.06 0.52956586 +62437.43 5906.73 7131.22 0.353779592 +64884.60 5174.78 6245.74 0.268402683 +76363.58 4259.7 5142.087 0.251916851 +78570.59 3868.311 4670.465 0.0668917035 +80780.56 3503.43 4231.293 0.0446329475 +83009.41 3177.104 3838.392 0.108423245 +85218.42 2886.422 3489.049 0.0593877092 +87453.60 2627.478 3177.862 0.0764957515 +89694.64 2398.275 2902.251 0.0787203913 +91913.57 2193.976 2656.81 0.0451884941 +94133.59 2012.773 2439.549 0.0987972672 +96348.44 1848.662 2242.407 0.0810438153 +98593.61 1698.216 2061.818 0.055942828 +100864.66 1562.75 1900.358 0.112336993 +103115.79 1441.517 1755.081 0.08553888 +105358.44 1329.933 1621.594 0.0491975609 +107608.41 1227.388 1498.331 0.0134499071 +109868.43 1133.708 1386.637 0.0298680431 +112133.48 1048.059 1284.649 0.014862705 +114406.49 970.341 1192.184 0.0281140534 +116701.58 895.547 1103.422 0.016358484 +119008.43 828.599 1024.062 0.0226185764 +121363.48 765.233 949.096 0.0204058815 +123725.65 708.665 882.335 0.0237170825 +126152.58 653.651 817.336 0.0228560714 +128633.63 603.033 757.693 0.0317190794 +131182.61 556.665 702.968 0.0232723011 +133823.58 514.241 652.978 0.0153492671 +136558.43 473.187 604.75 0.0264575131 +139383.53 435.3451 559.952 0.0285937056 +142468.42 401.0082 519.169 0.0241847059 +145663.52 368.8216 480.7213 0.00812902208 +150152.50 338.993 445.1031 0.00737760124 +154020.60 311.2982 411.8716 0.00798398397 +158009.42 285.985 381.3051 0.00430917626 +162092.64 262.8193 353.1814 0.00881725581 +166325.74 241.2312 326.7774 0.00836444858 +170678.44 221.1535 302.0725 0.00840148796 +175093.51 202.6806 279.0878 0.00721637028 +179630.56 185.8135 257.9817 0.00810561534 +184258.43 169.7533 237.6388 0.00658604585 +188955.77 154.8271 218.6672 0.0117582312 +193587.43 141.2644 201.1675 0.00876726867 +198273.49 128.8389 184.9413 0.00879551022 +202902.67 117.6355 170.1572 0.00805208048 +207601.58 106.9113 155.7818 0.00240748832 +212223.51 97.4316 142.9908 0.00298596718 +216844.50 88.6349 130.9847 0.00211683726 +221378.44 80.9458 120.3762 0.0015861904 +225913.51 73.6595 110.2108 0.0024240462 +230508.48 65.804 99.1084 0.0025502941 +234198.42 62.7356 94.7272 0.00275245345 +237288.44 61.1033 92.3842 0.0029826163 diff --git a/calib_data/calib2024-12-06_p0_c6.dat b/calib_data/calib2024-12-06_p0_c6.dat new file mode 100644 index 0000000..05b0d5b --- /dev/null +++ b/calib_data/calib2024-12-06_p0_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42358.44 18774.43 19870.37 12.2503963 +49925.72 13537.79 14380.83 0.988539326 +52383.62 11233.59 11976.28 0.932502011 +54806.47 9470.51 10129.64 0.716407705 +57408.44 8055.01 8649.11 0.409743822 +59978.42 6855.67 7392.54 0.400549622 +62528.43 5905.56 6392.72 0.274881793 +64975.76 5174.02 5621.33 0.251813423 +76453.58 4262.153 4656.984 0.197525695 +78661.59 3869.077 4240.126 0.08003999 +80871.60 3503.587 3850.817 0.0684112564 +83100.61 3176.964 3502.344 0.081316665 +85308.43 2886.347 3191.708 0.0864615521 +87543.59 2627.275 2913.868 0.108791544 +89785.65 2398.024 2667.459 0.0598907338 +92003.57 2193.699 2447.147 0.0900560936 +94223.59 2012.508 2251.489 0.0571393035 +96438.44 1848.437 2073.769 0.0907022602 +98684.65 1697.912 1910.593 0.0855809558 +100955.74 1562.554 1764.271 0.0754380541 +103206.47 1441.304 1632.385 0.0813418711 +105448.45 1329.872 1510.226 0.0335320742 +107698.41 1227.285 1398.287 0.0203002463 +109958.42 1133.588 1296.089 0.0151294415 +112223.47 1047.948 1202.659 0.018732325 +114497.45 970.219 1117.716 0.0281496004 +116792.57 895.429 1036.085 0.0156364958 +119098.43 828.463 962.974 0.0235881326 +121453.48 765.139 893.746 0.0173320512 +123816.45 708.618 831.912 0.0189631221 +126243.62 653.566 771.735 0.0335037311 +128724.67 602.906 716.207 0.0163737595 +131273.61 556.549 665.293 0.0218654979 +133914.62 514.141 618.735 0.0196086716 +136648.44 473.1165 573.67 0.0225831796 +139479.92 435.249 531.813 0.0251017928 +142558.43 400.9512 493.5208 0.00645879246 +145754.52 368.7649 457.5843 0.00692249955 +150243.50 338.9068 424.1066 0.0100649888 +154111.68 311.2059 392.862 0.0100309521 +158100.58 285.887 364.0683 0.00595659299 +162183.52 262.7132 337.5644 0.0105519666 +166416.42 241.1301 312.6372 0.00937208621 +170769.43 221.0715 289.2886 0.00825372643 +175184.50 202.5875 267.5764 0.00837997613 +179721.60 185.7392 247.5587 0.00397756207 +184348.46 169.6828 228.3079 0.00392542991 +189046.61 154.7567 210.2582 0.0100864265 +193678.42 141.1979 193.6212 0.0110098138 +198364.49 128.7767 178.1963 0.00982858077 +202993.55 117.5808 164.1005 0.010710042 +207692.58 106.8676 150.4059 0.00210926527 +212313.47 97.3932 138.1922 0.00182098874 +216935.66 88.603 126.7266 0.00262373779 +221468.48 80.9127 116.5816 0.00274299107 +226003.51 73.6307 106.8482 0.00172510869 +230599.44 65.778 96.2101 0.00219294323 +234288.42 62.7183 92.0013 0.00312745903 +237378.44 61.0853 89.7611 0.0021746264 diff --git a/calib_data/calib2024-12-06_p1_c1.dat b/calib_data/calib2024-12-06_p1_c1.dat new file mode 100644 index 0000000..de1c0f0 --- /dev/null +++ b/calib_data/calib2024-12-06_p1_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42473.52 18756.78 25568.95 31.7237427 +50041.60 13534.1 18122.15 3.78827797 +52499.45 11229.08 14918.19 1.78372924 +54922.58 9462.91 12474.21 1.45316551 +57523.56 8053.45 10532.67 1.61108969 +60093.62 6855.38 8890.97 1.2987725 +62643.55 5903.83 7595.98 0.743747269 +65091.56 5173.57 6605.92 2.82459909 +76568.42 4264.948 5393.424 0.256246756 +78777.43 3870.035 4863.336 0.437571023 +80987.45 3503.795 4374.201 0.148185357 +83216.41 3176.565 3938.975 0.126777364 +85423.58 2886.001 3554.253 0.346185066 +87658.43 2626.946 3213.012 0.170415962 +89901.60 2397.681 2912.81 0.145079289 +92118.41 2193.285 2646.061 0.289013667 +94339.43 2012.343 2411.16 0.0839761871 +96553.60 1848.181 2199.458 0.113311959 +98800.57 1697.759 2006.121 0.14239698 +101071.58 1562.359 1834.489 0.136267751 +103322.59 1441.095 1680.34 0.12886427 +105563.49 1329.684 1539.141 0.0246758992 +107813.61 1227.065 1410.802 0.0234435492 +110073.62 1133.412 1294.408 0.0384135393 +112338.43 1047.801 1188.89 0.0414004831 +114613.61 970.113 1093.842 0.0238243573 +116908.42 895.321 1003.124 0.0268402683 +119213.63 828.356 922.639 0.0281229444 +121568.44 764.942 847.142 0.0193287351 +123932.57 708.394 780.446 0.0343278313 +126359.42 653.402 715.985 0.0344456093 +128840.59 602.751 657.279 0.0162757488 +131389.41 556.36 603.949 0.0256300605 +134030.58 513.934 555.693 0.0374446258 +136763.63 473.0189 509.549 0.027765086 +139726.49 435.1384 466.8569 0.00951782538 +142673.58 400.869 428.7224 0.00781050575 +145870.60 368.6767 393.0887 0.0069829077 +150358.42 338.7747 360.2184 0.00814518263 +154227.44 311.0848 329.9241 0.00637251913 +158216.50 285.7669 302.3623 0.00795493557 +162298.44 262.5865 277.2456 0.00745010067 +166532.66 241.021 253.9547 0.00716526343 +170885.77 220.9567 232.3854 0.00663656538 +175300.58 202.4679 212.5735 0.0055031809 +179837.45 185.6455 194.5704 0.00667113184 +184463.59 169.5966 177.4665 0.00674277391 +189162.65 154.676 161.6957 0.00930811474 +193793.67 141.1258 147.276 0.00298328678 +198480.61 128.7207 134.1687 0.00304647337 +203108.47 117.5294 122.3888 0.00309127805 +207808.42 106.8098 111.1327 0.00397504717 +212428.48 97.3353 101.2193 0.00308885092 +217051.54 88.5501 92.049 0.00283901391 +221583.64 80.8704 84.0584 0.00336214217 +226119.42 73.5938 76.5072 0.00257992248 +230715.65 65.7434 68.3878 0.00306202547 +234403.62 62.6825 65.2225 0.00213190056 +237494.52 61.0517 63.544 0.00229782506 diff --git a/calib_data/calib2024-12-06_p1_c2.dat b/calib_data/calib2024-12-06_p1_c2.dat new file mode 100644 index 0000000..83fb207 --- /dev/null +++ b/calib_data/calib2024-12-06_p1_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42563.60 18727.07 17925.19 5.9200076 +50132.61 13529.18 13063.1 0.976012295 +52590.58 11222.05 10886.7 0.784984076 +55013.59 9459.28 9204.99 0.510578104 +57613.60 8053.15 7860.54 0.287471738 +60183.53 6853.95 6705.83 0.538897022 +62733.59 5903.48 5786.11 0.295110149 +65182.56 5172.97 5075.06 0.196061215 +76658.42 4266.54 4197.724 0.227416798 +78868.43 3870.587 3805.57 0.0866833317 +81078.44 3503.966 3442.32 0.0943716059 +83307.41 3176.583 3117.544 0.0716826339 +85513.58 2885.825 2828.505 0.087923262 +87749.44 2626.711 2570.453 0.0900894 +89992.57 2397.537 2342.244 0.0554111902 +92208.42 2193.058 2138.439 0.0671930056 +94430.59 2012.342 1957.886 0.0502633067 +96644.68 1847.998 1794.183 0.0682795723 +98891.57 1697.521 1644.073 0.0681182795 +101162.58 1562.24 1509.501 0.0202706685 +103413.63 1441.064 1388.921 0.0213752193 +105653.48 1329.579 1278.116 0.0234606053 +107904.65 1226.995 1176.35 0.0186010752 +110164.67 1133.315 1083.641 0.0294771098 +112428.43 1047.733 999.273 0.0157511904 +114704.48 969.997 922.977 0.0228495077 +116998.42 895.214 849.775 0.0247082982 +119304.67 828.273 784.507 0.0158145503 +121658.44 764.842 723.041 0.0193106188 +124023.52 708.333 668.451 0.0203690942 +126450.58 653.333 615.497 0.0189235303 +128932.59 602.679 567.067 0.0196494275 +131480.61 556.303 522.94 0.0142828569 +134121.54 513.942 482.6301 0.00836594286 +136854.67 472.9517 444.0535 0.0083297659 +139818.42 435.055 408.3669 0.00606704211 +142764.66 400.8261 376.2553 0.00783077263 +145961.60 368.5985 346.117 0.00787400787 +150448.42 338.7104 318.2467 0.00778466441 +154318.48 310.9942 292.4497 0.00311464284 +158307.42 285.6849 268.8784 0.00637683307 +162388.43 262.5207 247.3338 0.00954442246 +166623.62 240.9299 227.2654 0.00538739269 +170976.56 220.8862 208.6443 0.00843925352 +175391.58 202.402 191.4747 0.00399512203 +179928.49 185.569 175.8257 0.00670082085 +184554.55 169.5207 160.8849 0.0041435492 +189253.77 154.6204 147.0132 0.00216702561 +193884.51 141.074 134.3805 0.0032534597 +198571.57 128.6715 122.8121 0.00269981481 +203199.44 117.4874 112.3793 0.00340602408 +207898.41 106.7714 102.3805 0.00241764348 +212518.44 97.2996 93.5377 0.0023876767 +217142.66 88.5197 85.3407 0.00249018072 +221674.61 80.8431 78.167 0.00172046505 +226210.58 73.5673 71.3773 0.0018976301 +230806.53 65.7225 64.0469 0.001126499 +234494.50 62.6635 61.189 0.00271293199 +237585.80 61.0297 59.6705 0.00168671278 diff --git a/calib_data/calib2024-12-06_p1_c4.dat b/calib_data/calib2024-12-06_p1_c4.dat new file mode 100644 index 0000000..ad1dca8 --- /dev/null +++ b/calib_data/calib2024-12-06_p1_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42654.56 18689.17 12649.98 8.01015356 +50223.60 13518.97 9421.98 0.546772348 +52681.61 11216.62 7951.59 0.560080351 +55103.59 9456.5 6803.89 0.524490229 +57704.56 8050.52 5873.13 0.331677554 +60273.61 6852.79 5063.99 0.342476277 +62823.58 5902.83 4409.36 0.209437341 +65273.56 5172.56 3900.708 0.115730722 +76748.42 4268.443 3262.23 0.147023808 +78958.43 3870.989 2975.458 0.0726057849 +81168.44 3504.14 2708.205 0.0734744854 +83398.42 3176.572 2467.263 0.0514985437 +85603.55 2885.749 2251.722 0.0664198765 +87840.59 2626.522 2057.878 0.0650046152 +90083.57 2397.323 1885.001 0.0610647198 +92298.46 2192.833 1729.667 0.09587544 +94521.58 2012.145 1591.678 0.120944615 +96735.76 1847.983 1464.684 0.0273934299 +98982.61 1697.413 1348.343 0.034235946 +101253.62 1562.138 1243.749 0.0262469046 +103504.67 1440.998 1149.241 0.0388960152 +105743.65 1329.488 1061.908 0.0308155805 +107995.77 1226.912 981.302 0.0242816803 +110255.70 1133.195 907.549 0.0271827151 +112518.44 1047.66 840.063 0.0199022612 +114795.72 969.85 778.76 0.0213072758 +117088.46 895.11 719.69 0.0164924225 +119395.78 828.187 666.815 0.0143701079 +121748.44 764.789 616.77 0.0205912603 +124113.49 708.247 572.149 0.0187856328 +126541.59 653.265 528.754 0.0168641632 +129023.51 602.635 488.7419 0.0109658105 +131571.60 556.33 452.2297 0.00837143954 +134212.58 513.96 418.8604 0.0071612848 +136945.67 472.8996 386.7109 0.00451984513 +139908.41 435.0102 356.8578 0.00623345811 +142855.78 400.7581 329.8648 0.00622382519 +146052.48 368.5235 304.4685 0.00638631349 +150538.42 338.637 280.8457 0.00595994966 +154408.44 310.9065 258.9103 0.0101882776 +158398.42 285.6025 238.8301 0.00915035518 +162478.44 262.4386 220.4061 0.00901493206 +166714.55 240.8454 203.2018 0.00671088668 +171067.44 220.8042 187.1542 0.00562281069 +175482.62 202.3265 172.3173 0.00649006934 +180019.45 185.5211 158.6835 0.00497041246 +184645.83 169.4747 145.6997 0.00159405144 +189344.65 154.5768 133.6165 0.00200124961 +193975.67 141.017 122.5514 0.0024049948 +198662.65 128.6244 112.3801 0.00208062491 +203290.67 117.4409 103.177 0.00294278779 +207988.50 106.7285 94.3265 0.00290602822 +212609.44 97.2653 86.4741 0.00217002304 +217233.66 88.4862 79.1752 0.00184282392 +221765.77 80.8148 72.7727 0.00253791253 +226301.63 73.5433 66.6903 0.00329863608 +230897.40 65.701 60.1072 0.00218082553 +234585.67 62.6484 57.5369 0.0015965588 +237676.48 61.0165 56.1725 0.00229891279 diff --git a/calib_data/calib2024-12-06_p1_c5.dat b/calib_data/calib2024-12-06_p1_c5.dat new file mode 100644 index 0000000..8b9e8f5 --- /dev/null +++ b/calib_data/calib2024-12-06_p1_c5.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42745.73 18693.9 22929.38 12.836914 +50313.61 13515.21 16433.85 1.45087904 +52772.57 11212.26 13596.45 0.823680763 +55193.59 9452.64 11442.96 0.742051211 +57795.76 8048.7 9732.41 0.323867257 +60364.62 6851.09 8276.29 0.403100484 +62913.59 5902.42 7125.21 0.185175592 +65363.56 5172.33 6242.82 0.233152311 +76838.42 4270.623 5155.289 0.291298644 +79048.43 3871.736 4674.46 0.134959253 +81258.44 3504.557 4232.495 0.0543000921 +83488.42 3176.449 3837.96 0.0673349835 +85693.58 2885.691 3488.099 0.0665349532 +87931.60 2626.493 3176.62 0.0369323706 +90174.61 2397.229 2901.219 0.0855505698 +92388.42 2192.731 2655.389 0.0593034569 +94612.59 2011.807 2438.48 0.0644670458 +96826.52 1847.845 2241.393 0.0578973229 +99073.56 1697.231 2060.771 0.077607345 +101344.66 1562.007 1899.679 0.070886529 +103595.80 1440.842 1754.257 0.105243052 +105834.64 1329.337 1620.924 0.0396534992 +108086.41 1226.79 1497.657 0.015036622 +110346.42 1133.159 1385.855 0.0263533679 +112608.44 1047.545 1283.936 0.026122787 +114886.53 969.809 1191.517 0.0192898937 +117178.42 895.026 1102.811 0.0203690942 +119486.43 828.123 1023.49 0.0228473193 +121838.44 764.743 948.549 0.0213752193 +124203.49 708.208 881.813 0.0201022387 +126632.58 653.194 816.882 0.0120664825 +129113.64 602.589 757.178 0.0348941256 +131662.57 556.303 702.531 0.0271827151 +134303.62 513.884 652.541 0.0213752193 +137036.43 472.8449 604.325 0.0229455878 +139998.41 434.9492 559.523 0.0294635368 +142946.42 400.7111 518.847 0.018976301 +146143.48 368.4827 480.3379 0.00808263571 +150628.43 338.5614 444.5965 0.00692423281 +154498.44 310.8336 411.2931 0.00942385272 +158488.42 285.5196 380.7509 0.00675640437 +162569.44 262.3572 352.5988 0.00728258196 +166805.66 240.7763 326.2411 0.0083215984 +171158.44 220.7367 301.5359 0.00693750676 +175573.50 202.2657 278.6013 0.00874991429 +180110.60 185.4754 257.5236 0.00753418874 +184736.55 169.424 237.241 0.00577234788 +189435.65 154.5214 218.2648 0.00975479369 +194066.51 140.9681 200.787 0.0156198592 +198753.61 128.5782 184.5914 0.0121442991 +203381.55 117.3941 169.8466 0.00904897784 +208079.42 106.6911 155.497 0.00202977831 +212700.64 97.2356 142.7253 0.0022318154 +217324.51 88.4591 130.7547 0.0029293344 +221856.48 80.7902 120.169 0.00226715681 +226392.62 73.5221 110.0244 0.00277200289 +230988.44 65.6809 98.9389 0.00243905719 +234676.47 62.6308 94.5714 0.00243803199 +237767.45 61.0049 92.2353 0.00181686543 diff --git a/calib_data/calib2024-12-06_p1_c6.dat b/calib_data/calib2024-12-06_p1_c6.dat new file mode 100644 index 0000000..b9736a6 --- /dev/null +++ b/calib_data/calib2024-12-06_p1_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +42836.52 18726.79 19839.99 16.9760976 +50404.65 13511.9 14349.67 0.695133081 +52863.58 11206.16 11946.25 0.632653144 +55283.59 9448.35 10109.65 0.672346637 +57886.49 8047.15 8644.15 0.511517351 +60455.74 6849.52 7385.96 0.537810376 +63003.59 5902.58 6388.43 0.213096222 +65453.60 5172.03 5619.7 0.222710575 +76928.42 4272.694 4668.276 0.134567455 +79138.43 3872.439 4243.423 0.0786898977 +81348.44 3504.78 3852.047 0.0505183135 +83578.41 3176.456 3502.148 0.0526839634 +85783.62 2885.396 3191.038 0.0862994786 +88022.60 2626.488 2912.873 0.0411594461 +90265.69 2397.274 2666.475 0.0574673821 +92478.41 2192.62 2446.049 0.0577659069 +94703.58 2011.717 2250.834 0.0702595189 +96917.44 1847.594 2073.03 0.0895767827 +99163.57 1697.059 1909.776 0.0838594062 +101435.78 1561.876 1763.522 0.0818022005 +103686.43 1440.736 1631.76 0.0675425792 +105925.60 1329.247 1509.629 0.0331496606 +108177.46 1226.743 1397.779 0.0203199409 +110437.42 1133.105 1295.589 0.0340132327 +112698.43 1047.471 1202.034 0.0282913414 +114977.40 969.785 1117.224 0.0149130815 +117268.41 894.97 1035.542 0.0194319325 +119577.43 828.086 962.486 0.0209857094 +121928.44 764.692 893.235 0.0220113607 +124293.61 708.182 831.455 0.0115108644 +126723.62 653.112 771.251 0.0318574952 +129204.48 602.534 715.789 0.0294431656 +131753.49 556.163 664.91 0.0203469899 +134394.50 513.81 618.348 0.0226627448 +137127.44 472.7804 573.347 0.0189235303 +140088.45 434.9041 531.48 0.0165529454 +143037.42 400.6713 493.2003 0.00797878437 +147384.60 368.268 456.8633 0.0794129775 +150718.43 338.5146 423.661 0.00572712843 +154588.44 310.7762 392.3424 0.00909417396 +158578.43 285.453 363.592 0.00761183289 +162660.61 262.2858 337.063 0.00760131568 +166896.47 240.7249 312.1605 0.00357840747 +171248.44 220.6877 288.8332 0.00840571234 +175664.50 202.206 267.1285 0.00608974548 +180201.61 185.4105 247.1531 0.00881073209 +184827.43 169.3554 227.9276 0.00640343658 +189526.49 154.4655 209.9036 0.00957726475 +194157.43 140.9175 193.2727 0.00609762249 +198844.53 128.5316 177.8882 0.00790037974 +203472.64 117.351 163.8318 0.00804213902 +208170.58 106.6594 150.1442 0.00170762994 +212791.60 97.2048 137.9584 0.00363373087 +217415.62 88.4393 126.5156 0.00291273068 +221947.44 80.7708 116.3904 0.00229434086 +226483.51 73.5038 106.6842 0.00220816666 +231078.40 65.6659 96.0484 0.0022324874 +234767.48 62.6128 91.8683 0.00190814046 +237858.44 60.9866 89.6288 0.00223069496 diff --git a/calib_data/calib2024-12-06_p2_c1-original.dat b/calib_data/calib2024-12-06_p2_c1-original.dat new file mode 100644 index 0000000..b9971aa --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c1-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47429.43 1525.868 1786.369 0.100194311 +50520.61 13504.26 18089.98 2.6090918 +52978.42 11198.9 14880.05 1.26919266 +55398.43 9443.97 12448.96 1.94237998 +58002.60 8045.22 10516.72 2.37127814 +60571.58 6848.3 8880.77 0.67335726 +63118.43 5901.73 7592.15 2.80614504 +65569.45 5171.9 6604.7 0.546626015 +77043.58 4275.113 5408.357 0.505236677 +79253.59 3873.155 4867.514 0.230318041 +81463.61 3504.802 4375.344 0.14703877 +83693.53 3176.563 3938.62 0.13303383 +85898.43 2885.492 3553.332 0.67339112 +88138.44 2626.377 3211.951 0.4219276 +90381.61 2396.888 2911.338 0.236278649 +92593.58 2192.556 2644.987 0.47391993 +94818.43 2011.649 2410.311 0.150648266 +97033.55 1847.476 2198.38 0.0468828327 +99279.41 1696.829 2005.268 0.0905295532 +101551.59 1561.777 1833.652 0.109597445 +103802.60 1440.589 1679.939 0.0798805358 +106041.60 1329.173 1538.574 0.025385035 +108293.62 1226.502 1410.203 0.0442052033 +110553.62 1132.884 1293.858 0.0390845238 +112813.64 1047.256 1188.323 0.027204779 +115093.49 969.636 1093.241 0.029847948 +117383.62 894.871 1002.571 0.0259788375 +119693.63 827.933 922.187 0.0287419554 +122043.65 764.589 846.636 0.019089264 +124409.42 708.052 779.958 0.0288374756 +126839.43 652.997 715.514 0.0259306768 +129320.59 602.384 656.879 0.0238516247 +131868.45 556.039 603.616 0.0282559728 +134510.58 513.718 555.319 0.0245947149 +137243.64 472.7162 509.183 0.034235946 +140206.57 434.8821 466.6225 0.00563959218 +143255.51 400.6105 428.4284 0.00730780405 +147490.57 367.9592 392.394 0.0727305988 +150833.58 338.4427 359.8347 0.00988539326 +154703.48 310.6855 329.4805 0.00616319722 +158693.51 285.3618 301.929 0.0064591021 +162776.60 262.2106 276.8027 0.00590093213 +167012.66 240.6378 253.5383 0.00542411283 +171363.48 220.6038 232.0054 0.00496225755 +175780.58 202.1383 212.2074 0.00462644572 +180317.44 185.3248 194.231 0.00765506368 +184943.63 169.3092 177.1596 0.00724458418 +189642.61 154.4076 161.4105 0.00719061889 +194274.51 140.8664 147.0005 0.00228582589 +198960.58 128.4866 133.9218 0.00362436201 +203588.48 117.3126 122.1592 0.00240333102 +208286.49 106.6189 110.9337 0.00330771825 +212907.44 97.1621 101.0341 0.00309983871 +217531.58 88.3983 91.8912 0.00253298243 +222063.57 80.7367 83.9203 0.00286373881 +226598.43 73.483 76.3943 0.00299349294 +231193.49 65.644 68.2777 0.00195473783 +234883.66 62.5857 65.1319 0.00212814473 +237974.52 60.9686 63.4605 0.0026124701 diff --git a/calib_data/calib2024-12-06_p2_c1.dat b/calib_data/calib2024-12-06_p2_c1.dat new file mode 100644 index 0000000..553bd7a --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47429.43 15258.68 1786.369 0.100194311 +50520.61 13504.26 18089.98 2.6090918 +52978.42 11198.9 14880.05 1.26919266 +55398.43 9443.97 12448.96 1.94237998 +58002.60 8045.22 10516.72 2.37127814 +60571.58 6848.3 8880.77 0.67335726 +63118.43 5901.73 7592.15 2.80614504 +65569.45 5171.9 6604.7 0.546626015 +77043.58 4275.113 5408.357 0.505236677 +79253.59 3873.155 4867.514 0.230318041 +81463.61 3504.802 4375.344 0.14703877 +83693.53 3176.563 3938.62 0.13303383 +85898.43 2885.492 3553.332 0.67339112 +88138.44 2626.377 3211.951 0.4219276 +90381.61 2396.888 2911.338 0.236278649 +92593.58 2192.556 2644.987 0.47391993 +94818.43 2011.649 2410.311 0.150648266 +97033.55 1847.476 2198.38 0.0468828327 +99279.41 1696.829 2005.268 0.0905295532 +101551.59 1561.777 1833.652 0.109597445 +103802.60 1440.589 1679.939 0.0798805358 +106041.60 1329.173 1538.574 0.025385035 +108293.62 1226.502 1410.203 0.0442052033 +110553.62 1132.884 1293.858 0.0390845238 +112813.64 1047.256 1188.323 0.027204779 +115093.49 969.636 1093.241 0.029847948 +117383.62 894.871 1002.571 0.0259788375 +119693.63 827.933 922.187 0.0287419554 +122043.65 764.589 846.636 0.019089264 +124409.42 708.052 779.958 0.0288374756 +126839.43 652.997 715.514 0.0259306768 +129320.59 602.384 656.879 0.0238516247 +131868.45 556.039 603.616 0.0282559728 +134510.58 513.718 555.319 0.0245947149 +137243.64 472.7162 509.183 0.034235946 +140206.57 434.8821 466.6225 0.00563959218 +143255.51 400.6105 428.4284 0.00730780405 +147490.57 367.9592 392.394 0.0727305988 +150833.58 338.4427 359.8347 0.00988539326 +154703.48 310.6855 329.4805 0.00616319722 +158693.51 285.3618 301.929 0.0064591021 +162776.60 262.2106 276.8027 0.00590093213 +167012.66 240.6378 253.5383 0.00542411283 +171363.48 220.6038 232.0054 0.00496225755 +175780.58 202.1383 212.2074 0.00462644572 +180317.44 185.3248 194.231 0.00765506368 +184943.63 169.3092 177.1596 0.00724458418 +189642.61 154.4076 161.4105 0.00719061889 +194274.51 140.8664 147.0005 0.00228582589 +198960.58 128.4866 133.9218 0.00362436201 +203588.48 117.3126 122.1592 0.00240333102 +208286.49 106.6189 110.9337 0.00330771825 +212907.44 97.1621 101.0341 0.00309983871 +217531.58 88.3983 91.8912 0.00253298243 +222063.57 80.7367 83.9203 0.00286373881 +226598.43 73.483 76.3943 0.00299349294 +231193.49 65.644 68.2777 0.00195473783 +234883.66 62.5857 65.1319 0.00212814473 +237974.52 60.9686 63.4605 0.0026124701 diff --git a/calib_data/calib2024-12-06_p2_c2-original.dat b/calib_data/calib2024-12-06_p2_c2-original.dat new file mode 100644 index 0000000..b2627fb --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c2-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47520.59 1524.838 1469.515 0.0476707457 +50611.56 13500.53 13037.23 1.22629931 +53068.41 11194.76 10860.3 1.02381639 +55488.44 9439.58 9187.28 0.411533717 +58093.56 8043.56 7850.64 0.558068096 +60662.58 6847.34 6699.41 0.419392418 +63208.43 5900.75 5783.01 0.388702971 +65660.60 5171.57 5073.45 0.271753565 +77133.59 4277.59 4208.436 0.115639094 +79343.55 3873.791 3808.641 0.0572791411 +81553.57 3504.906 3443.349 0.0810117275 +83783.58 3176.483 3117.285 0.0702602306 +85988.43 2885.412 2827.988 0.0741458023 +88228.43 2626.177 2569.807 0.0653306972 +90472.61 2396.806 2341.269 0.0780954544 +92683.58 2192.382 2137.687 0.0705839925 +94908.43 2011.603 1957.215 0.0631070519 +97123.60 1847.469 1793.41 0.0694694177 +99370.61 1696.831 1643.417 0.0734853727 +101642.58 1561.737 1508.926 0.024503061 +103893.64 1440.609 1388.543 0.0136418474 +106132.56 1329.073 1277.636 0.0331722776 +108384.65 1226.499 1175.956 0.0305352256 +110644.63 1132.814 1083.305 0.024989998 +112904.68 1047.257 998.851 0.0202212759 +115183.53 969.561 922.526 0.0234606053 +117474.65 894.75 849.395 0.0280446073 +119784.67 827.879 784.114 0.0321309819 +122134.49 764.516 722.667 0.0192898937 +124500.58 707.992 668.149 0.0262087772 +126930.59 652.951 615.184 0.0260844781 +129411.60 602.329 566.787 0.0259634358 +131958.42 555.99 522.637 0.0279660508 +134601.58 513.69 482.3778 0.0111200719 +137334.64 472.6813 443.8211 0.00497483668 +140311.65 434.8452 408.1987 0.0060762653 +143346.43 400.5505 375.9903 0.00513039959 +147576.45 367.9455 345.5963 0.0524017271 +150923.59 338.3854 317.9631 0.00882094099 +154794.64 310.6317 292.1072 0.00882133777 +158784.55 285.2874 268.5482 0.00722744768 +162867.45 262.135 247.0052 0.00810283901 +167103.51 240.5715 226.9669 0.00704904249 +171453.56 220.5513 208.3492 0.00591066832 +175871.59 202.0885 191.1903 0.00655293827 +180408.53 185.2795 175.5492 0.00616895453 +185034.63 169.2513 160.6382 0.00440408901 +189733.69 154.3689 146.7793 0.00318449368 +194365.83 140.8305 134.1576 0.00159499216 +199051.58 128.448 122.6229 0.0029814426 +203679.44 117.2808 112.1975 0.00210831686 +208377.42 106.5909 102.2186 0.00231170932 +212998.44 97.1349 93.3959 0.00272194783 +217622.66 88.3763 85.2134 0.00281851024 +222154.64 80.7138 78.0529 0.00197205477 +226688.43 73.4658 71.2783 0.0013118689 +231283.48 65.6267 63.9555 0.00272488532 +234974.51 62.5733 61.1145 0.0021691012 +238065.72 60.957 59.5923 0.00200024998 diff --git a/calib_data/calib2024-12-06_p2_c2.dat b/calib_data/calib2024-12-06_p2_c2.dat new file mode 100644 index 0000000..9e1bf32 --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47520.59 15248.38 1469.515 0.0476707457 +50611.56 13500.53 13037.23 1.22629931 +53068.41 11194.76 10860.3 1.02381639 +55488.44 9439.58 9187.28 0.411533717 +58093.56 8043.56 7850.64 0.558068096 +60662.58 6847.34 6699.41 0.419392418 +63208.43 5900.75 5783.01 0.388702971 +65660.60 5171.57 5073.45 0.271753565 +77133.59 4277.59 4208.436 0.115639094 +79343.55 3873.791 3808.641 0.0572791411 +81553.57 3504.906 3443.349 0.0810117275 +83783.58 3176.483 3117.285 0.0702602306 +85988.43 2885.412 2827.988 0.0741458023 +88228.43 2626.177 2569.807 0.0653306972 +90472.61 2396.806 2341.269 0.0780954544 +92683.58 2192.382 2137.687 0.0705839925 +94908.43 2011.603 1957.215 0.0631070519 +97123.60 1847.469 1793.41 0.0694694177 +99370.61 1696.831 1643.417 0.0734853727 +101642.58 1561.737 1508.926 0.024503061 +103893.64 1440.609 1388.543 0.0136418474 +106132.56 1329.073 1277.636 0.0331722776 +108384.65 1226.499 1175.956 0.0305352256 +110644.63 1132.814 1083.305 0.024989998 +112904.68 1047.257 998.851 0.0202212759 +115183.53 969.561 922.526 0.0234606053 +117474.65 894.75 849.395 0.0280446073 +119784.67 827.879 784.114 0.0321309819 +122134.49 764.516 722.667 0.0192898937 +124500.58 707.992 668.149 0.0262087772 +126930.59 652.951 615.184 0.0260844781 +129411.60 602.329 566.787 0.0259634358 +131958.42 555.99 522.637 0.0279660508 +134601.58 513.69 482.3778 0.0111200719 +137334.64 472.6813 443.8211 0.00497483668 +140311.65 434.8452 408.1987 0.0060762653 +143346.43 400.5505 375.9903 0.00513039959 +147576.45 367.9455 345.5963 0.0524017271 +150923.59 338.3854 317.9631 0.00882094099 +154794.64 310.6317 292.1072 0.00882133777 +158784.55 285.2874 268.5482 0.00722744768 +162867.45 262.135 247.0052 0.00810283901 +167103.51 240.5715 226.9669 0.00704904249 +171453.56 220.5513 208.3492 0.00591066832 +175871.59 202.0885 191.1903 0.00655293827 +180408.53 185.2795 175.5492 0.00616895453 +185034.63 169.2513 160.6382 0.00440408901 +189733.69 154.3689 146.7793 0.00318449368 +194365.83 140.8305 134.1576 0.00159499216 +199051.58 128.448 122.6229 0.0029814426 +203679.44 117.2808 112.1975 0.00210831686 +208377.42 106.5909 102.2186 0.00231170932 +212998.44 97.1349 93.3959 0.00272194783 +217622.66 88.3763 85.2134 0.00281851024 +222154.64 80.7138 78.0529 0.00197205477 +226688.43 73.4658 71.2783 0.0013118689 +231283.48 65.6267 63.9555 0.00272488532 +234974.51 62.5733 61.1145 0.0021691012 +238065.72 60.957 59.5923 0.00200024998 diff --git a/calib_data/calib2024-12-06_p2_c4-original.dat b/calib_data/calib2024-12-06_p2_c4-original.dat new file mode 100644 index 0000000..59df07e --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c4-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47611.60 1523.875 1213.462 0.0507700699 +50702.61 13493.74 9407.98 0.924099562 +53158.42 11191.5 7934.76 0.552304264 +55578.43 9436.2 6792.67 0.367437069 +58183.61 8040.49 5865 0.442944692 +60753.58 6846.16 5058.73 0.488477226 +63298.43 5899.81 4407.263 0.196122666 +65751.57 5171.46 3899.808 0.114217337 +77223.58 4279.466 3269.974 0.131462542 +79433.59 3874.397 2977.889 0.0870339014 +81644.65 3505.164 2708.881 0.0765826351 +83873.54 3176.367 2467.23 0.070639932 +86078.42 2885.264 2251.291 0.106409116 +88318.44 2625.906 2057.176 0.0588081627 +90563.61 2396.641 1884.384 0.0654400489 +92773.54 2192.169 1729.222 0.0554400577 +94998.43 2011.637 1591.233 0.05184689 +97214.64 1847.401 1464.251 0.0377743299 +99461.57 1697.03 1347.957 0.0342943144 +101733.62 1561.698 1243.432 0.0194319325 +103984.67 1440.532 1148.898 0.0284534708 +106223.60 1329.027 1061.567 0.0231969826 +108475.71 1226.459 980.99 0.0202484567 +110735.79 1132.795 907.32 0.0235796522 +112995.79 1047.213 839.785 0.0304384625 +115274.65 969.485 778.425 0.0271016605 +117565.74 894.66 719.403 0.0256924113 +119875.75 827.798 666.59 0.0121655251 +122225.64 764.436 616.528 0.020774985 +124591.58 707.967 571.993 0.0125737822 +127021.58 652.88 528.525 0.0191963538 +129502.60 602.344 488.51 0.0146615142 +132048.45 556.034 451.9911 0.00995334115 +134692.57 513.674 418.6712 0.00823626129 +137425.68 472.6361 386.4945 0.00509165985 +140407.05 434.8206 356.7131 0.00849523396 +143437.43 400.4965 329.6634 0.00709957745 +147662.65 367.9015 304.0167 0.0462489027 +151014.55 338.3397 280.6148 0.00965069946 +154885.76 310.5567 258.6339 0.0086907422 +158875.75 285.2308 238.5515 0.00982776679 +162958.40 262.0745 220.1269 0.00449099098 +167193.55 240.5153 202.9289 0.00935355547 +171543.56 220.5 186.8991 0.00863649234 +175962.63 202.0258 172.047 0.00734982993 +180499.49 185.252 158.4607 0.00198015151 +185125.67 169.2167 145.4815 0.00160156174 +189824.57 154.3288 133.4245 0.00286443712 +194456.55 140.7894 122.3611 0.00302142351 +199142.50 128.4135 112.2113 0.00284270997 +203769.44 117.2494 103.0191 0.00324175878 +208468.45 106.561 94.1868 0.00296580512 +213088.44 97.1129 86.3561 0.0022246348 +217713.66 88.3529 79.0652 0.00209666402 +222245.72 80.6983 72.6738 0.00258766304 +226778.42 73.4493 66.6047 0.00214032708 +231373.49 65.6124 60.0282 0.00117303026 +235065.63 62.5656 57.4707 0.00215429803 +238156.44 60.9446 56.1093 0.00220476756 diff --git a/calib_data/calib2024-12-06_p2_c4.dat b/calib_data/calib2024-12-06_p2_c4.dat new file mode 100644 index 0000000..52d4a38 --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47611.60 15238.75 1213.462 0.0507700699 +50702.61 13493.74 9407.98 0.924099562 +53158.42 11191.5 7934.76 0.552304264 +55578.43 9436.2 6792.67 0.367437069 +58183.61 8040.49 5865 0.442944692 +60753.58 6846.16 5058.73 0.488477226 +63298.43 5899.81 4407.263 0.196122666 +65751.57 5171.46 3899.808 0.114217337 +77223.58 4279.466 3269.974 0.131462542 +79433.59 3874.397 2977.889 0.0870339014 +81644.65 3505.164 2708.881 0.0765826351 +83873.54 3176.367 2467.23 0.070639932 +86078.42 2885.264 2251.291 0.106409116 +88318.44 2625.906 2057.176 0.0588081627 +90563.61 2396.641 1884.384 0.0654400489 +92773.54 2192.169 1729.222 0.0554400577 +94998.43 2011.637 1591.233 0.05184689 +97214.64 1847.401 1464.251 0.0377743299 +99461.57 1697.03 1347.957 0.0342943144 +101733.62 1561.698 1243.432 0.0194319325 +103984.67 1440.532 1148.898 0.0284534708 +106223.60 1329.027 1061.567 0.0231969826 +108475.71 1226.459 980.99 0.0202484567 +110735.79 1132.795 907.32 0.0235796522 +112995.79 1047.213 839.785 0.0304384625 +115274.65 969.485 778.425 0.0271016605 +117565.74 894.66 719.403 0.0256924113 +119875.75 827.798 666.59 0.0121655251 +122225.64 764.436 616.528 0.020774985 +124591.58 707.967 571.993 0.0125737822 +127021.58 652.88 528.525 0.0191963538 +129502.60 602.344 488.51 0.0146615142 +132048.45 556.034 451.9911 0.00995334115 +134692.57 513.674 418.6712 0.00823626129 +137425.68 472.6361 386.4945 0.00509165985 +140407.05 434.8206 356.7131 0.00849523396 +143437.43 400.4965 329.6634 0.00709957745 +147662.65 367.9015 304.0167 0.0462489027 +151014.55 338.3397 280.6148 0.00965069946 +154885.76 310.5567 258.6339 0.0086907422 +158875.75 285.2308 238.5515 0.00982776679 +162958.40 262.0745 220.1269 0.00449099098 +167193.55 240.5153 202.9289 0.00935355547 +171543.56 220.5 186.8991 0.00863649234 +175962.63 202.0258 172.047 0.00734982993 +180499.49 185.252 158.4607 0.00198015151 +185125.67 169.2167 145.4815 0.00160156174 +189824.57 154.3288 133.4245 0.00286443712 +194456.55 140.7894 122.3611 0.00302142351 +199142.50 128.4135 112.2113 0.00284270997 +203769.44 117.2494 103.0191 0.00324175878 +208468.45 106.561 94.1868 0.00296580512 +213088.44 97.1129 86.3561 0.0022246348 +217713.66 88.3529 79.0652 0.00209666402 +222245.72 80.6983 72.6738 0.00258766304 +226778.42 73.4493 66.6047 0.00214032708 +231373.49 65.6124 60.0282 0.00117303026 +235065.63 62.5656 57.4707 0.00215429803 +238156.44 60.9446 56.1093 0.00220476756 diff --git a/calib_data/calib2024-12-06_p2_c5-original.dat b/calib_data/calib2024-12-06_p2_c5-original.dat new file mode 100644 index 0000000..0e62a1c --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c5-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47702.59 1522.903 1851.737 0.0452559388 +50793.56 13486.27 16394.25 1.87201763 +53248.42 11188.02 13568.83 0.85510818 +55668.43 9433.64 11419.3 0.508527285 +58273.61 8038.54 9718.17 0.459575891 +60844.58 6845.5 8267.94 0.421710801 +63388.43 5899.08 7122.2 0.461735855 +65842.60 5170.81 6241.27 0.201022387 +77313.54 4281.823 5168.841 0.273146298 +79523.59 3875.231 4678.52 0.0749266308 +81735.76 3505.443 4233.725 0.100451481 +83963.57 3176.481 3837.769 0.102950959 +86168.43 2885.232 3487.449 0.102298094 +88408.44 2625.736 3175.658 0.0774054262 +90654.65 2396.415 2900.313 0.0542411283 +92863.57 2192.014 2654.608 0.0557458519 +95088.43 2011.509 2437.733 0.0599007512 +97305.76 1847.23 2240.68 0.0643428318 +99552.57 1696.896 2060.146 0.0603191512 +101824.66 1561.562 1898.985 0.0906449116 +104075.80 1440.382 1753.856 0.0909857132 +106314.65 1328.946 1620.298 0.0627502988 +108566.41 1226.425 1497.124 0.0209857094 +110826.46 1132.743 1385.441 0.0213752193 +113086.48 1047.149 1283.485 0.0227266364 +115365.73 969.426 1191.107 0.0189235303 +117656.46 894.684 1102.401 0.0136711375 +119966.47 827.783 1023.124 0.0206494552 +122316.44 764.38 948.17 0.0196468827 +124682.61 707.971 881.468 0.0234008547 +127112.59 652.827 816.521 0.0179136819 +129593.47 602.327 756.822 0.0219453868 +132138.45 556.012 702.221 0.0233858932 +134783.63 513.623 652.229 0.0275481397 +137516.43 472.5798 603.978 0.03706211 +140499.42 434.7835 559.291 0.0302803567 +143528.42 400.4592 518.563 0.0186574382 +147748.49 367.8716 479.6998 0.0700276802 +151105.74 338.2964 444.265 0.00504579032 +154976.52 310.4995 410.9223 0.00737570336 +158966.62 285.1992 380.3627 0.00721255849 +163048.45 262.0291 352.2129 0.00538600037 +167283.50 240.4677 325.8579 0.00732454777 +171634.53 220.4545 301.1851 0.00596900327 +176054.51 201.9761 278.2389 0.00434614772 +180590.57 185.2084 257.1889 0.00731771822 +185216.55 169.1819 236.9191 0.00906912344 +189915.73 154.282 217.981 0.00823650411 +194547.44 140.7471 200.485 0.0106808239 +199233.65 128.3782 184.3399 0.00835158668 +203860.60 117.2146 169.6018 0.00703676062 +208558.42 106.5327 155.289 0.00269814751 +213178.44 97.0938 142.5332 0.00210618138 +217804.66 88.334 130.5863 0.00249419326 +222336.56 80.6851 120.0129 0.00253160028 +226868.47 73.434 109.8898 0.00147512711 +231463.49 65.5991 98.8125 0.00266176633 +235156.43 62.5517 94.4596 0.00229434086 +238247.44 60.9281 92.1349 0.00195166596 diff --git a/calib_data/calib2024-12-06_p2_c5.dat b/calib_data/calib2024-12-06_p2_c5.dat new file mode 100644 index 0000000..8489143 --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c5.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47702.59 15229.03 1851.737 0.0452559388 +50793.56 13486.27 16394.25 1.87201763 +53248.42 11188.02 13568.83 0.85510818 +55668.43 9433.64 11419.3 0.508527285 +58273.61 8038.54 9718.17 0.459575891 +60844.58 6845.5 8267.94 0.421710801 +63388.43 5899.08 7122.2 0.461735855 +65842.60 5170.81 6241.27 0.201022387 +77313.54 4281.823 5168.841 0.273146298 +79523.59 3875.231 4678.52 0.0749266308 +81735.76 3505.443 4233.725 0.100451481 +83963.57 3176.481 3837.769 0.102950959 +86168.43 2885.232 3487.449 0.102298094 +88408.44 2625.736 3175.658 0.0774054262 +90654.65 2396.415 2900.313 0.0542411283 +92863.57 2192.014 2654.608 0.0557458519 +95088.43 2011.509 2437.733 0.0599007512 +97305.76 1847.23 2240.68 0.0643428318 +99552.57 1696.896 2060.146 0.0603191512 +101824.66 1561.562 1898.985 0.0906449116 +104075.80 1440.382 1753.856 0.0909857132 +106314.65 1328.946 1620.298 0.0627502988 +108566.41 1226.425 1497.124 0.0209857094 +110826.46 1132.743 1385.441 0.0213752193 +113086.48 1047.149 1283.485 0.0227266364 +115365.73 969.426 1191.107 0.0189235303 +117656.46 894.684 1102.401 0.0136711375 +119966.47 827.783 1023.124 0.0206494552 +122316.44 764.38 948.17 0.0196468827 +124682.61 707.971 881.468 0.0234008547 +127112.59 652.827 816.521 0.0179136819 +129593.47 602.327 756.822 0.0219453868 +132138.45 556.012 702.221 0.0233858932 +134783.63 513.623 652.229 0.0275481397 +137516.43 472.5798 603.978 0.03706211 +140499.42 434.7835 559.291 0.0302803567 +143528.42 400.4592 518.563 0.0186574382 +147748.49 367.8716 479.6998 0.0700276802 +151105.74 338.2964 444.265 0.00504579032 +154976.52 310.4995 410.9223 0.00737570336 +158966.62 285.1992 380.3627 0.00721255849 +163048.45 262.0291 352.2129 0.00538600037 +167283.50 240.4677 325.8579 0.00732454777 +171634.53 220.4545 301.1851 0.00596900327 +176054.51 201.9761 278.2389 0.00434614772 +180590.57 185.2084 257.1889 0.00731771822 +185216.55 169.1819 236.9191 0.00906912344 +189915.73 154.282 217.981 0.00823650411 +194547.44 140.7471 200.485 0.0106808239 +199233.65 128.3782 184.3399 0.00835158668 +203860.60 117.2146 169.6018 0.00703676062 +208558.42 106.5327 155.289 0.00269814751 +213178.44 97.0938 142.5332 0.00210618138 +217804.66 88.334 130.5863 0.00249419326 +222336.56 80.6851 120.0129 0.00253160028 +226868.47 73.434 109.8898 0.00147512711 +231463.49 65.5991 98.8125 0.00266176633 +235156.43 62.5517 94.4596 0.00229434086 +238247.44 60.9281 92.1349 0.00195166596 diff --git a/calib_data/calib2024-12-06_p2_c6-original.dat b/calib_data/calib2024-12-06_p2_c6-original.dat new file mode 100644 index 0000000..8fe79f4 --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c6-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47793.59 1521.933 1719.351 0.0578869588 +50884.64 13480.66 14319.19 1.7778892 +53338.42 11183.14 11923.11 0.691295885 +55758.43 9430.21 10092.72 0.737672014 +58363.57 8037.32 8632.7 0.754055701 +60935.74 6844.79 7379.55 0.434798804 +63478.43 5899.13 6385.43 0.537038174 +65933.56 5170.51 5617.86 0.29906521 +77403.59 4284.228 4680.639 0.151614313 +79613.60 3876.047 4247.419 0.0931713475 +81826.45 3505.819 3853.236 0.0672041665 +84053.58 3176.744 3502 0.103797881 +86258.42 2885.15 3190.344 0.0833930453 +88498.44 2625.609 2912.131 0.0578869588 +90745.73 2396.32 2665.706 0.0564127645 +92953.58 2191.865 2445.343 0.0668887135 +95178.43 2011.217 2250.22 0.0781152994 +97396.44 1847.012 2072.37 0.0876013699 +99643.62 1696.584 1909.175 0.0642066975 +101915.70 1561.415 1763.074 0.0534265851 +104166.43 1440.336 1631.385 0.0972959403 +106405.78 1328.941 1509.187 0.0295313393 +108657.41 1226.362 1397.381 0.0369716107 +110917.43 1132.728 1295.14 0.0270554985 +113177.44 1047.068 1201.68 0.0124096736 +115456.45 969.396 1116.867 0.0264215821 +117747.42 894.653 1035.197 0.0209785605 +120057.43 827.748 962.116 0.0228997817 +122407.44 764.387 892.923 0.0191337398 +124773.62 707.946 831.144 0.0183412104 +127203.63 652.79 770.911 0.0333601559 +129683.48 602.256 715.466 0.0253061257 +132229.45 555.879 664.621 0.0221110832 +134873.55 513.578 618.074 0.0107888832 +137607.44 472.5417 573.065 0.0201121854 +140590.57 434.7474 531.258 0.0212508823 +143618.43 400.4457 492.945 0.00879659025 +147839.40 367.8655 456.5886 0.010477786 +151196.51 338.265 423.3827 0.0120897064 +155067.44 310.4663 391.9963 0.00657426802 +159057.42 285.1454 363.2376 0.00640343658 +163138.45 261.9736 336.7056 0.00824645378 +167374.47 240.4183 311.8406 0.00795260963 +171725.74 220.4104 288.5086 0.00678851972 +176145.79 201.9501 266.8114 0.00656384034 +180681.57 185.1475 246.8663 0.00688774274 +185307.43 169.1403 227.6223 0.00890847911 +190006.61 154.2423 209.643 0.0112222992 +194638.43 140.7059 193.0114 0.00755804207 +199324.50 128.3436 177.6548 0.0082277579 +203951.53 117.179 163.5939 0.00439420072 +208648.46 106.512 149.9523 0.00309854805 +213268.48 97.0719 137.7846 0.00261992366 +217895.67 88.3197 126.364 0.00232808935 +222427.41 80.6663 116.2478 0.00203371581 +226959.43 73.4169 106.5546 0.00355021126 +231554.49 65.5874 95.9447 0.0018817545 +235247.43 62.5441 91.7755 0.00401061093 +238338.45 60.9205 89.5391 0.0014862705 diff --git a/calib_data/calib2024-12-06_p2_c6.dat b/calib_data/calib2024-12-06_p2_c6.dat new file mode 100644 index 0000000..afbf658 --- /dev/null +++ b/calib_data/calib2024-12-06_p2_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47793.59 15219.33 1719.351 0.0578869588 +50884.64 13480.66 14319.19 1.7778892 +53338.42 11183.14 11923.11 0.691295885 +55758.43 9430.21 10092.72 0.737672014 +58363.57 8037.32 8632.7 0.754055701 +60935.74 6844.79 7379.55 0.434798804 +63478.43 5899.13 6385.43 0.537038174 +65933.56 5170.51 5617.86 0.29906521 +77403.59 4284.228 4680.639 0.151614313 +79613.60 3876.047 4247.419 0.0931713475 +81826.45 3505.819 3853.236 0.0672041665 +84053.58 3176.744 3502 0.103797881 +86258.42 2885.15 3190.344 0.0833930453 +88498.44 2625.609 2912.131 0.0578869588 +90745.73 2396.32 2665.706 0.0564127645 +92953.58 2191.865 2445.343 0.0668887135 +95178.43 2011.217 2250.22 0.0781152994 +97396.44 1847.012 2072.37 0.0876013699 +99643.62 1696.584 1909.175 0.0642066975 +101915.70 1561.415 1763.074 0.0534265851 +104166.43 1440.336 1631.385 0.0972959403 +106405.78 1328.941 1509.187 0.0295313393 +108657.41 1226.362 1397.381 0.0369716107 +110917.43 1132.728 1295.14 0.0270554985 +113177.44 1047.068 1201.68 0.0124096736 +115456.45 969.396 1116.867 0.0264215821 +117747.42 894.653 1035.197 0.0209785605 +120057.43 827.748 962.116 0.0228997817 +122407.44 764.387 892.923 0.0191337398 +124773.62 707.946 831.144 0.0183412104 +127203.63 652.79 770.911 0.0333601559 +129683.48 602.256 715.466 0.0253061257 +132229.45 555.879 664.621 0.0221110832 +134873.55 513.578 618.074 0.0107888832 +137607.44 472.5417 573.065 0.0201121854 +140590.57 434.7474 531.258 0.0212508823 +143618.43 400.4457 492.945 0.00879659025 +147839.40 367.8655 456.5886 0.010477786 +151196.51 338.265 423.3827 0.0120897064 +155067.44 310.4663 391.9963 0.00657426802 +159057.42 285.1454 363.2376 0.00640343658 +163138.45 261.9736 336.7056 0.00824645378 +167374.47 240.4183 311.8406 0.00795260963 +171725.74 220.4104 288.5086 0.00678851972 +176145.79 201.9501 266.8114 0.00656384034 +180681.57 185.1475 246.8663 0.00688774274 +185307.43 169.1403 227.6223 0.00890847911 +190006.61 154.2423 209.643 0.0112222992 +194638.43 140.7059 193.0114 0.00755804207 +199324.50 128.3436 177.6548 0.0082277579 +203951.53 117.179 163.5939 0.00439420072 +208648.46 106.512 149.9523 0.00309854805 +213268.48 97.0719 137.7846 0.00261992366 +217895.67 88.3197 126.364 0.00232808935 +222427.41 80.6663 116.2478 0.00203371581 +226959.43 73.4169 106.5546 0.00355021126 +231554.49 65.5874 95.9447 0.0018817545 +235247.43 62.5441 91.7755 0.00401061093 +238338.45 60.9205 89.5391 0.0014862705 diff --git a/calib_data/calib2024-12-09_p0_c1.dat b/calib_data/calib2024-12-09_p0_c1.dat new file mode 100644 index 0000000..27716ee --- /dev/null +++ b/calib_data/calib2024-12-09_p0_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +67970.60 17553.23 445.98 0.0181565415 +70575.69 13326.27 408.9861 0.00907573688 +72777.42 11427.59 389.2283 0.00641880051 +74977.43 9841.26 370.6065 0.00660492241 +77173.52 8571.56 353.8821 0.00924818901 +79369.45 7466.15 337.6768 0.00898309523 +81566.46 6550.59 322.7348 0.00814346364 +83762.63 5778.76 308.842 0.00894427191 +85963.49 5132.79 296.0292 0.00850623301 +88223.49 4559.758 283.6169 0.0066052252 +90428.43 4060.425 271.7485 0.00360347055 +92644.51 3630.186 260.5678 0.00680705516 +94865.65 3253.787 249.9466 0.00665462245 +97098.42 2923.335 239.8332 0.00773666595 +99327.43 2628.238 230.0206 0.00559499777 +101592.64 2370.526 220.7686 0.00525965778 +103828.41 2150.521 212.278 0.0084923495 +106056.42 1957.906 204.3038 0.00992149182 +108283.52 1787.023 196.7338 0.00747903737 +110515.65 1635.698 189.5838 0.00752037233 +112746.46 1502.468 182.9583 0.00762502459 +114983.50 1379.155 176.4032 0.0065449217 +117207.44 1267.504 170.1083 0.00559115373 +119468.45 1165.998 164.0447 0.00849240837 +121729.42 1074.245 158.1895 0.00249499499 +124001.63 991.541 152.6762 0.00337283264 +126310.60 912.649 147.11 0.00201494417 +128625.66 842.655 141.8949 0.00274390233 +130945.63 776.895 136.7219 0.00335097001 +133310.60 718.527 131.8705 0.00184526421 +135715.65 661.878 126.9019 0.00196188685 +138200.58 609.893 122.0697 0.00277866875 +140732.63 562.433 117.4127 0.00183330303 +143328.45 519.095 112.9288 0.00318998433 +146015.66 477.2764 108.3773 0.00207870152 +148790.59 438.8868 103.945 0.00250998008 +151697.41 403.7219 99.6593 0.00253396922 +155283.51 370.5073 95.3898 0.00334604244 +158683.52 341.2 91.4272 0.00191728975 +162480.58 313.2714 87.463 0.00269443872 +166416.48 287.5015 83.6167 0.00182236111 +170443.50 264.0062 79.9294 0.00303380949 +174633.48 242.1118 76.321 0.0031144823 +178941.58 221.8554 72.813 0.00224499443 +183321.65 203.1747 69.4137 0.00258089132 +187833.67 186.144 66.1642 0.00174814187 +192361.65 170.0645 62.9313 0.00220476756 +197071.63 154.9338 59.7556 0.00242156974 +201768.42 141.2717 56.7247 0.00278585714 +206404.52 128.8927 53.8301 0.00354809808 +211063.62 117.6341 51.0695 0.00360901649 +215893.60 106.8565 48.27042 0.00105278678 +220553.50 97.3799 45.71292 0.00100227741 +225179.45 88.5843 43.22631 0.000573837956 +229745.67 80.8615 40.94189 0.000787965735 +234279.42 73.6065 38.70428 0.0011180161 +238907.44 65.7571 36.16618 0.000590050845 +242627.42 62.6951 35.13674 0.000764748325 +245748.43 61.0598 34.57945 0.000720728798 diff --git a/calib_data/calib2024-12-09_p0_c2.dat b/calib_data/calib2024-12-09_p0_c2.dat new file mode 100644 index 0000000..d4efb5c --- /dev/null +++ b/calib_data/calib2024-12-09_p0_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68061.63 17552.75 19187.77 1.87446259 +70666.49 13327.74 14674.94 0.526535849 +72868.41 11428.25 12632.48 0.358831437 +75068.43 9841.08 10919.08 0.399949997 +77264.52 8571.44 9542.99 0.196697738 +79460.57 7466.6 8337.93 0.304975409 +81657.43 6550.66 7335.47 0.39218618 +83853.59 5779.75 6487.28 0.217163533 +86054.60 5132.82 5773.35 0.215522621 +88313.49 4559.679 5139.7 0.176068169 +90518.42 4060.44 4581.339 0.112413967 +92735.64 3630.325 4100.15 0.054277067 +94956.44 3253.789 3677.527 0.0875791071 +97188.42 2923.34 3305.346 0.0681498349 +99418.43 2628.092 2971.199 0.0470414711 +101683.52 2370.488 2678.935 0.0771783648 +103918.46 2150.372 2428.526 0.0892658949 +106147.43 1957.611 2208.641 0.0642876349 +108373.48 1787.002 2013.673 0.0738112458 +110606.40 1635.49 1840.475 0.0847614299 +112837.42 1502.275 1688.684 0.0520615021 +115073.51 1379.166 1547.06 0.0289482297 +117298.44 1267.439 1419.201 0.023428615 +119558.45 1165.941 1303.22 0.0165529454 +121820.58 1074.144 1198.513 0.0219111844 +124092.63 991.447 1104.381 0.0193106188 +126401.64 912.569 1014.873 0.0179471446 +128716.45 842.52 935.662 0.0283125414 +131036.46 776.791 861.607 0.0164347193 +133401.64 718.462 796.134 0.0278280434 +135806.45 661.765 732.764 0.0187189743 +138291.62 609.791 674.918 0.0194319325 +140823.51 562.306 622.253 0.0105877287 +143418.45 519.02 574.437 0.0221833271 +146106.46 477.1634 528.568 0.0296580512 +148881.63 438.7942 486.2843 0.00823049209 +151788.45 403.6394 447.8543 0.00622101278 +155373.51 370.4352 411.5964 0.00444792086 +158774.52 341.065 379.5929 0.00881413637 +162571.62 313.1402 349.1986 0.00992088706 +166507.44 287.3812 321.1687 0.0111759116 +170533.50 263.8816 295.6183 0.0102587036 +174723.48 242.0112 271.788 0.00926066952 +179032.63 221.7333 249.7092 0.00707361294 +183412.48 203.0683 229.3744 0.00919478113 +187924.50 186.0466 210.7762 0.00885753916 +192452.61 169.9757 193.1547 0.00811671116 +197162.63 154.854 176.649 0.0137971011 +201858.41 141.1966 161.6368 0.00683198361 +206495.76 128.8256 147.9146 0.00362270617 +211154.58 117.5703 135.468 0.00384967531 +215984.48 106.8007 123.5144 0.0040303846 +220643.63 97.3286 112.9785 0.00290258505 +225270.57 88.5333 103.1713 0.00383418831 +229836.51 80.8179 94.5332 0.00380473389 +234370.58 73.5742 86.3932 0.00339057517 +238998.44 65.7259 77.5455 0.00297405447 +242718.42 62.6661 74.0745 0.00186681547 +245838.43 61.0274 72.2225 0.00309919344 diff --git a/calib_data/calib2024-12-09_p0_c4.dat b/calib_data/calib2024-12-09_p0_c4.dat new file mode 100644 index 0000000..248fad2 --- /dev/null +++ b/calib_data/calib2024-12-09_p0_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68152.64 17552.49 9874.24 0.257371327 +70757.44 13328.09 7768.47 0.271679959 +72958.46 11426.38 6788.96 0.271735165 +75158.43 9841.47 5956.48 0.250918313 +77355.64 8571.29 5280.15 0.242177621 +79551.61 7465.99 4677.506 0.10099703 +81748.42 6550.86 4172.246 0.134269877 +83944.51 5780.24 3740.561 0.189860212 +86145.64 5132.54 3372.58 0.0954567965 +88403.49 4559.54 3042.316 0.0909857132 +90608.42 4060.362 2749.621 0.0427188483 +92826.43 3630.252 2494.114 0.107797959 +95047.45 3253.763 2267.007 0.0495993952 +97278.42 2923.278 2065.098 0.0418282201 +99508.43 2628.014 1881.985 0.0500249938 +101773.52 2370.282 1720.187 0.0736756405 +104008.45 2150.436 1579.72 0.0254950976 +106238.43 1957.727 1455.596 0.0251475645 +108463.51 1786.918 1344.328 0.024240462 +110697.44 1635.566 1244.624 0.0354739341 +112928.42 1502.17 1156.165 0.0185067555 +115163.50 1379.133 1073.131 0.021883784 +117388.43 1267.349 997.005 0.0270277635 +119648.45 1165.908 927.042 0.0244867311 +121911.62 1074.01 863.109 0.0310950157 +124183.51 991.288 804.855 0.0189868375 +126492.60 912.458 748.712 0.028241813 +128807.42 842.367 698.255 0.0193002591 +131127.42 776.702 650.333 0.024861617 +133492.64 718.387 607.361 0.0172887246 +135897.45 661.708 565.009 0.0243084348 +138382.58 609.656 525.747 0.0202509259 +140913.52 562.226 489.2893 0.00842146068 +143508.45 518.965 455.7504 0.00797395761 +146197.42 477.0878 423.0896 0.00881725581 +148972.63 438.6991 392.6166 0.00469936166 +151878.45 403.5697 364.3991 0.00543405926 +155463.50 370.3687 337.4214 0.0060517766 +158865.68 340.9476 313.2171 0.00587443614 +162662.66 313.0084 289.9747 0.00705981586 +166598.44 287.2496 268.3355 0.00752230018 +170623.50 263.761 248.3449 0.0114677374 +174813.48 241.8872 229.563 0.00457820926 +179123.58 221.6159 211.9569 0.00648143503 +183503.49 202.9651 195.5747 0.00746598955 +188015.83 185.9606 180.5062 0.0044086279 +192543.48 169.875 166.1171 0.00712242936 +197253.59 154.7851 152.4615 0.00312809846 +201948.42 141.1303 139.9986 0.00299399399 +206586.48 128.7652 128.593 0.0036138622 +211245.78 117.5125 118.1342 0.0031962478 +216075.65 106.7398 108.0353 0.00309531905 +220734.63 97.28 99.0845 0.00258940148 +225361.65 88.4882 90.7103 0.00342651426 +229927.44 80.7792 83.3039 0.00131491445 +234461.61 73.5355 76.2932 0.00334604244 +239089.45 65.6972 68.6403 0.00317505905 +242808.42 62.6332 65.6304 0.00181769084 +245928.43 60.9981 64.0196 0.00235881326 diff --git a/calib_data/calib2024-12-09_p0_c5.dat b/calib_data/calib2024-12-09_p0_c5.dat new file mode 100644 index 0000000..f942f26 --- /dev/null +++ b/calib_data/calib2024-12-09_p0_c5.dat @@ -0,0 +1,50 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68243.52 17547.24 10645.95 1.11939716 +70848.45 13327.5 8082.02 0.421141306 +73049.42 11425.1 6924.9 0.267581763 +75248.43 9840.58 5961.91 0.298814324 +77446.44 8571.3 5191.17 0.352718018 +79642.61 7466.51 4517.742 0.175566512 +81838.42 6550.91 3961.221 0.0611138282 +84035.76 5780.2 3492.448 0.0712713126 +86236.48 5132.18 3098.785 0.0719478978 +88493.50 4559.681 2751.18 0.0656810475 +90698.43 4060.239 2446.624 0.10546279 +92917.43 3630.214 2184.117 0.0724851709 +95138.45 3253.766 1954.678 0.0994967336 +97368.42 2923.121 1752.822 0.0761813626 +99598.43 2628.189 1571.237 0.0392950379 +101864.48 2370.209 1413.886 0.0334424879 +104099.45 2150.51 1279.565 0.0343292878 +106328.42 1957.734 1161.777 0.0316243577 +108553.52 1786.956 1057.598 0.028975852 +110788.45 1635.673 965.337 0.019851952 +113018.42 1502.172 884.481 0.0305434117 +115253.51 1379.018 809.602 0.020238577 +117478.43 1267.204 741.844 0.0370189141 +119739.41 1165.813 680.502 0.0189103146 +122002.62 1073.924 625.16 0.013114877 +124273.51 991.211 575.56 0.0177763888 +126583.52 912.375 528.438 0.0243228288 +128898.41 842.338 455.1977 0.00679418869 +131218.43 776.637 419.0191 0.00749459805 +133583.52 718.358 387.2687 0.0074431848 +135988.45 661.667 356.5208 0.00650814874 +138473.50 609.633 328.4211 0.00493649673 +141003.52 562.227 302.8597 0.00775377327 +143599.45 518.941 279.7202 0.00431462629 +146288.42 477.0273 257.6061 0.00705187918 +149063.52 438.6107 237.3114 0.00839785687 +151968.41 403.4895 218.7956 0.00822702863 +155553.51 370.3147 201.4766 0.0101392307 +158956.45 340.8307 186.0619 0.0110203902 +162753.50 312.8931 171.509 0.00826559133 +166688.45 287.1451 158.1919 0.0241910934 +170714.50 263.6465 145.9613 0.0218133216 +174903.48 241.7881 134.6218 0.0270143665 +179213.58 221.5209 124.1092 0.0177424914 +183593.49 202.8766 114.4851 0.0133240009 +188110.51 185.8901 105.6596 0.0156730342 +192634.49 169.7869 97.2324 0.0274769722 +197344.51 154.7201 89.4848 0.00948451369 diff --git a/calib_data/calib2024-12-09_p0_c6.dat b/calib_data/calib2024-12-09_p0_c6.dat new file mode 100644 index 0000000..8226cca --- /dev/null +++ b/calib_data/calib2024-12-09_p0_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68333.63 17544.93 19677.77 1.73384255 +70939.45 13328.9 15034.01 0.287210724 +73140.58 11427.03 12928.71 0.679036082 +75338.43 9840.22 11167.16 0.365568051 +77537.44 8571.36 9753.34 0.209380037 +79733.49 7466.87 8516.15 0.158271918 +81928.42 6550.42 7486.34 0.192457788 +84126.43 5779.46 6616.69 0.341891796 +86327.45 5131.61 5884.15 0.149833241 +88583.50 4559.792 5236.65 0.208446636 +90788.43 4060.578 4665.607 0.070186181 +93008.44 3630.325 4173.536 0.12514152 +95228.41 3253.843 3741.694 0.0767619698 +97458.42 2923.161 3361.116 0.101115775 +99688.43 2628.162 3020.025 0.0455466794 +101955.68 2370.387 2721.657 0.0563036411 +104190.57 2150.48 2466.464 0.0827550603 +106418.42 1957.478 2242.019 0.0819444934 +108644.64 1786.991 2043.458 0.0946657277 +110878.45 1635.464 1867.24 0.0728010989 +113108.41 1502.164 1712.659 0.0798179178 +115343.51 1379.017 1568.506 0.033888051 +117568.43 1267.195 1438.383 0.0172655727 +119830.60 1165.754 1320.507 0.0211683726 +122093.62 1073.867 1213.967 0.0322195593 +124364.51 991.133 1118.314 0.0155692004 +126674.52 912.359 1027.49 0.0260768096 +128988.42 842.326 947.017 0.0164347193 +131308.43 776.56 871.776 0.0195038458 +133673.52 718.273 805.388 0.0193287351 +136079.41 661.569 741.109 0.0311271586 +138563.50 609.614 682.513 0.0212626433 +141094.52 562.163 629.057 0.0268346791 +143690.61 518.817 580.528 0.0309127805 +146378.42 476.9545 534.087 0.0238348484 +149153.51 438.5636 491.2454 0.00772813043 +152058.45 403.4107 452.294 0.0076602872 +155643.51 370.2605 415.6366 0.00882745717 +159047.45 340.7315 383.0718 0.00548962658 +162843.51 312.7987 352.2853 0.00632305306 +166778.44 287.0485 323.9551 0.00726009642 +170805.67 263.5578 298.0971 0.00927949352 +174993.48 241.7027 274.0436 0.0080959249 +179303.63 221.4371 251.729 0.0103720779 +183683.50 202.7929 231.1578 0.00699685644 +188209.43 185.8011 212.392 0.00637965516 +192725.65 169.725 194.6248 0.0155812708 +197435.67 154.649 177.9984 0.0089500838 +202128.42 141.0054 162.8231 0.00602071424 +206768.44 128.6455 149.0024 0.0026540535 +211427.42 117.405 136.4579 0.00253948814 +216257.45 106.6515 124.424 0.00318433667 +220916.44 97.1926 113.8107 0.00298680431 +225543.62 88.4124 103.9302 0.00288374756 +230108.43 80.7081 95.2393 0.00289153938 +234643.58 73.4782 87.0491 0.00305761345 +239271.64 65.6412 78.15 0.00296984848 +242988.42 62.5828 74.6623 0.00250619233 +246108.44 60.9496 72.8123 0.00340014706 diff --git a/calib_data/calib2024-12-09_p1_c1.dat b/calib_data/calib2024-12-09_p1_c1.dat new file mode 100644 index 0000000..6905a45 --- /dev/null +++ b/calib_data/calib2024-12-09_p1_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68449.44 17539.01 445.8757 0.0123272462 +71055.69 13328.08 409.0312 0.00706371007 +73256.42 11426.77 389.202 0.00997997996 +75453.51 9840.95 370.608 0.00700999287 +77653.57 8572.65 353.9091 0.0114808101 +79848.41 7465.96 337.6637 0.00784863045 +82043.50 6550.19 322.738 0.008655634 +84242.64 5779.79 308.8316 0.00461345857 +86493.53 5132.38 296.0215 0.00825378701 +88698.46 4559.934 283.6381 0.00691151214 +90903.62 4060.308 271.754 0.00600832755 +93124.52 3630.279 260.5703 0.00625307924 +95343.61 3253.848 249.946 0.00603324125 +97573.50 2923.332 239.8176 0.00720583097 +99803.51 2627.816 230.005 0.00713161973 +102071.61 2370.249 220.7775 0.00436405774 +104306.42 2150.059 212.257 0.00854751426 +106533.63 1957.332 204.2817 0.00924883776 +108760.60 1786.519 196.7139 0.00812582304 +110993.48 1635.42 189.5664 0.00595348637 +113223.54 1502.109 182.9448 0.00923125127 +115458.42 1378.927 176.4091 0.00392288159 +117684.52 1267.158 170.0891 0.00830716558 +119946.45 1165.69 164.0337 0.00546452194 +122209.42 1073.896 158.1618 0.00267132926 +124480.59 991.154 152.6409 0.00198217053 +126790.60 912.2 147.0842 0.00217163533 +129103.50 842.279 141.865 0.00301330383 +131423.51 776.455 136.6857 0.00417624233 +133788.44 718.177 131.8366 0.00277200289 +136195.66 661.491 126.8647 0.00314022292 +138678.42 609.519 122.0408 0.00300599401 +141210.60 562.054 117.381 0.00446766158 +143806.45 518.706 112.8899 0.0020709901 +146493.50 476.8998 108.3338 0.00155434874 +149268.44 438.4618 103.8983 0.00277506757 +152173.61 403.3494 99.6098 0.00258379566 +155758.43 370.1968 95.348 0.00191833261 +159163.52 340.6205 91.3547 0.00174957138 +162958.42 312.6875 87.3738 0.00223964283 +166893.52 286.9301 83.5303 0.0019851952 +170921.66 263.4272 79.8348 0.0020238577 +175108.45 241.5918 76.2292 0.00264121184 +179418.43 221.3357 72.7215 0.00218746429 +183798.45 202.7026 69.3294 0.00182866071 +188325.75 185.7221 66.0753 0.0024861617 +192841.65 169.6326 62.8433 0.00230672929 +197551.64 154.5683 59.6772 0.00154790181 +202244.49 140.9324 56.6439 0.00201221271 +206883.64 128.5708 53.749 0.00343511281 +211548.51 117.3323 50.9931 0.00180803761 +216373.61 106.5899 48.20274 0.000973570747 +221032.63 97.1406 45.64793 0.000829463682 +225659.46 88.3627 43.16305 0.000691122276 +230223.64 80.6743 40.88662 0.000730588804 +234759.42 73.4399 38.65169 0.0007850414 +239387.44 65.6085 36.11434 0.000860604439 +243104.62 62.5519 35.08968 0.00097537685 +246223.63 60.9261 34.53492 0.00120181529 diff --git a/calib_data/calib2024-12-09_p1_c2.dat b/calib_data/calib2024-12-09_p1_c2.dat new file mode 100644 index 0000000..e3b3ba2 --- /dev/null +++ b/calib_data/calib2024-12-09_p1_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68540.60 17533.85 19165.47 1.25236177 +71146.45 13328.69 14674.58 0.406890649 +73347.42 11426.61 12632 0.439772669 +75543.47 9840.51 10919.42 0.27342275 +77743.53 8573.46 9544.78 0.304893424 +79938.43 7465.02 8336.73 0.313384748 +82133.63 6550.48 7334.71 0.249178651 +84333.51 5779.88 6486.67 0.435671895 +86583.56 5133.24 5772.79 0.306088223 +88789.42 4559.729 5139.17 0.318449368 +90994.50 4060.334 4581.526 0.137689506 +93215.68 3630.379 4100.274 0.0647950615 +95434.53 3253.891 3677.671 0.0654133014 +97663.50 2923.447 3305.318 0.0742670856 +99893.51 2627.736 2971.006 0.0599032553 +102162.48 2370.374 2678.538 0.0665552402 +104397.41 2150.119 2428.162 0.0776891241 +106624.62 1957.324 2208.327 0.0429662658 +108851.60 1786.632 2013.245 0.0621007246 +111083.49 1635.391 1840.251 0.0892350828 +113314.49 1502.051 1688.249 0.0857373897 +115548.44 1378.856 1546.824 0.0250679078 +117775.76 1267.101 1418.842 0.0230564525 +120037.45 1165.639 1302.96 0.0205912603 +122300.58 1073.846 1198.131 0.0108120303 +124571.64 991.159 1104.038 0.0184824241 +126881.65 912.271 1014.472 0.0191206694 +129193.50 842.238 935.357 0.0329256739 +131513.51 776.449 861.239 0.0295787086 +133878.44 718.151 795.757 0.0212626433 +136286.45 661.449 732.396 0.0166853229 +138768.42 609.506 674.619 0.0198217053 +141301.63 561.973 621.893 0.0189235303 +143897.45 518.68 574.086 0.0248676497 +146583.51 476.8396 528.215 0.0315673882 +149358.43 438.4305 485.9174 0.00914133469 +152264.53 403.2889 447.456 0.00881022134 +155848.42 370.1593 411.2781 0.00638975743 +159253.49 340.5392 379.0176 0.0058278641 +163048.42 312.5989 348.6111 0.00887744333 +166983.53 286.8446 320.5869 0.00969169748 +171012.62 263.3551 295.0222 0.00589881344 +175198.44 241.5142 271.2579 0.00703484186 +179508.42 221.2439 249.1956 0.00478581237 +183888.44 202.6228 228.8558 0.00786485855 +188416.46 185.6553 210.3123 0.00971807594 +192932.49 169.5687 192.7028 0.00588523576 +197642.64 154.5113 176.2634 0.00871114229 +202335.70 140.8755 161.2631 0.00989085436 +206974.52 128.5202 147.5741 0.00330590381 +211697.86 117.2764 135.1296 0.00386574702 +216464.61 106.5542 123.2504 0.00237571042 +221123.63 97.1041 112.7314 0.00198090888 +225750.57 88.3267 102.9405 0.0027358728 +230314.63 80.6442 94.339 0.00405462699 +234850.58 73.4117 86.2097 0.00199022612 +239478.44 65.5871 77.3821 0.00153915561 +243195.79 62.5315 73.9313 0.00234968083 +246314.63 60.905 72.0889 0.00259403161 diff --git a/calib_data/calib2024-12-09_p1_c4.dat b/calib_data/calib2024-12-09_p1_c4.dat new file mode 100644 index 0000000..7677114 --- /dev/null +++ b/calib_data/calib2024-12-09_p1_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68631.63 17531.45 9864.68 0.486168695 +71237.45 13331.52 7770.79 0.382478758 +73438.43 11425.62 6789.43 0.288461436 +75633.60 9841.39 5956.8 0.207846097 +77833.49 8572.83 5280.41 0.278729259 +80028.41 7465.87 4677.678 0.16991645 +82224.50 6550.8 4172.932 0.10280856 +84423.52 5779.6 3740.44 0.104613575 +86674.52 5132.86 3372.334 0.117509149 +88880.55 4559.619 3042.464 0.0587401055 +91085.63 4060.488 2749.713 0.0574116713 +93306.48 3630.212 2494.032 0.0710183075 +95525.65 3253.817 2266.935 0.0800281201 +97753.50 2923.435 2065.128 0.058477346 +99983.51 2627.731 1881.889 0.0678741482 +102253.52 2370.266 1720.097 0.0941705899 +104488.41 2150.178 1579.589 0.0257856549 +106715.66 1957.379 1455.384 0.0348482424 +108942.64 1786.67 1344.174 0.0252269697 +111173.53 1635.435 1244.494 0.0282913414 +113405.66 1502.063 1156.072 0.017538529 +115638.43 1378.868 1073.038 0.0198896958 +117866.48 1267.072 996.843 0.025221023 +120128.41 1165.618 926.895 0.0184526421 +122391.58 1073.765 862.906 0.0331119314 +124662.63 991.055 804.696 0.0221900879 +126972.56 912.253 748.504 0.0315658043 +129283.50 842.173 698.003 0.0208350666 +131603.51 776.399 650.125 0.0321014018 +133968.43 718.086 607.124 0.0254636997 +136377.41 661.378 564.815 0.0244642596 +138858.42 609.44 525.544 0.0239248824 +141392.63 561.922 489.047 0.00701997151 +143988.45 518.647 455.5274 0.00674121651 +146673.50 476.8015 422.8431 0.00811350726 +149449.43 438.3993 392.3716 0.00340939877 +152355.69 403.2273 364.141 0.0057965507 +155938.43 370.1237 337.2097 0.00814499847 +159343.49 340.4717 312.8105 0.00756736414 +163138.43 312.5259 289.5821 0.00681535032 +167073.52 286.7615 267.9034 0.00628999205 +171103.51 263.2639 247.92 0.00527636238 +175288.40 241.4375 229.1736 0.0066139247 +179598.43 221.1734 211.5915 0.00636592491 +183978.45 202.542 195.21 0.00901665126 +188507.43 185.5839 180.1745 0.00846079193 +193023.49 169.5168 165.762 0.00849941174 +197733.64 154.4593 152.1639 0.00323558341 +202426.42 140.8314 139.7143 0.00367980978 +207065.77 128.4698 128.319 0.0021023796 +211789.43 117.2251 117.8655 0.00188281704 +216555.64 106.5201 107.8241 0.0015195394 +221214.63 97.0703 98.8877 0.00319390044 +225841.58 88.2935 90.5304 0.0022592034 +230405.68 80.6138 83.1466 0.00217347648 +234941.62 73.3866 76.1473 0.00268346791 +239568.45 65.5651 68.5067 0.00236664319 +243286.46 62.5152 65.5081 0.00190499344 +246405.67 60.8882 63.911 0.00293257566 diff --git a/calib_data/calib2024-12-09_p1_c5-original.dat b/calib_data/calib2024-12-09_p1_c5-original.dat new file mode 100644 index 0000000..450b399 --- /dev/null +++ b/calib_data/calib2024-12-09_p1_c5-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68722.64 17531.17 10633.29 0.857257254 +71328.41 13330.84 8083.26 0.26540535 +73528.42 11425.14 6924.97 0.183874958 +75724.51 9840.4 5960.87 0.329863608 +77923.52 8571.17 5192.06 0.224588513 +80118.41 7466.74 4517.686 0.129020929 +82315.79 6550.96 3960.979 0.076973372 +84513.51 5780.21 3492.439 0.0787965735 +86765.65 5132.55 3099.327 0.0884878523 +88971.62 4559.758 2751.176 0.130155292 +91176.43 4060.378 2446.512 0.11531522 +93397.44 3630.101 2184.11 0.0870057469 +95616.45 3253.868 1954.44 0.0798122798 +97843.50 2923.319 1752.925 0.0657457223 +100073.51 2627.932 1571.225 0.0304055916 +102344.52 2370.234 1413.734 0.0277560804 +104578.41 2150.142 1279.449 0.0167600716 +106806.42 1957.363 1161.562 0.0310096759 +109033.64 1786.655 1057.449 0.0247163913 +111263.52 1635.455 965.314 0.0256593063 +113496.42 1502.113 884.469 0.0203199409 +115728.43 1378.845 809.441 0.018732325 +117957.44 1267.013 741.77 0.0177763888 +120218.41 1165.534 680.449 0.022020445 +122482.62 1073.671 625.031 0.0277290461 +124753.51 990.947 575.427 0.0196494275 +127064.48 912.183 528.317 0.0237507895 +129374.50 842.163 455.1186 0.00993498868 +131694.51 776.392 418.8698 0.00908713376 +134058.44 718.058 387.0787 0.00647618715 +136468.46 661.415 356.441 0.00712460525 +138948.43 609.401 328.2859 0.00928164856 +141483.52 561.961 302.7278 0.0101121709 +144078.46 518.647 279.5876 0.00618417335 +146763.50 476.7639 257.4781 0.00626490223 +149540.60 438.3446 237.1628 0.00518613536 +152446.45 403.1694 218.6274 0.00531450844 +156028.43 370.0706 201.3174 0.00643303972 +159433.53 340.3971 185.8325 0.00764362479 +163228.43 312.4427 171.2608 0.00988008097 +167164.33 286.6935 157.9546 0.0326457348 +171193.34 263.1844 145.7734 0.0271688056 +175379.29 241.3738 134.4808 0.0192866793 +179688.27 221.1137 123.907 0.0260614658 +184070.45 202.4894 114.3116 0.0282762091 +188598.43 185.5163 105.4609 0.0176286415 +193113.45 169.445 97.1176 0.0188802542 +197824.48 154.4099 89.3238 0.0241953715 +202517.42 140.7849 170.5659 0.00865268744 +207156.49 128.4239 155.9205 0.00182893412 +211880.59 117.1837 142.6342 0.00329484446 +216646.45 106.4856 129.9709 0.00162757488 +221305.64 97.036 118.7675 0.00182345825 +225932.62 88.267 108.351 0.00250998008 +230496.44 80.5903 99.1999 0.00357896633 +235032.62 73.368 90.5792 0.00165408585 +239658.44 65.544 81.2136 0.00253061257 +243377.42 62.4943 77.5486 0.00339470175 +246496.48 60.8736 75.6053 0.00243741667 diff --git a/calib_data/calib2024-12-09_p1_c5.dat b/calib_data/calib2024-12-09_p1_c5.dat new file mode 100644 index 0000000..56bdf77 --- /dev/null +++ b/calib_data/calib2024-12-09_p1_c5.dat @@ -0,0 +1,53 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68722.64 17531.17 10633.29 0.857257254 +71328.41 13330.84 8083.26 0.26540535 +73528.42 11425.14 6924.97 0.183874958 +75724.51 9840.4 5960.87 0.329863608 +77923.52 8571.17 5192.06 0.224588513 +80118.41 7466.74 4517.686 0.129020929 +82315.79 6550.96 3960.979 0.076973372 +84513.51 5780.21 3492.439 0.0787965735 +86765.65 5132.55 3099.327 0.0884878523 +88971.62 4559.758 2751.176 0.130155292 +91176.43 4060.378 2446.512 0.11531522 +93397.44 3630.101 2184.11 0.0870057469 +95616.45 3253.868 1954.44 0.0798122798 +97843.50 2923.319 1752.925 0.0657457223 +100073.51 2627.932 1571.225 0.0304055916 +102344.52 2370.234 1413.734 0.0277560804 +104578.41 2150.142 1279.449 0.0167600716 +106806.42 1957.363 1161.562 0.0310096759 +109033.64 1786.655 1057.449 0.0247163913 +111263.52 1635.455 965.314 0.0256593063 +113496.42 1502.113 884.469 0.0203199409 +115728.43 1378.845 809.441 0.018732325 +117957.44 1267.013 741.77 0.0177763888 +120218.41 1165.534 680.449 0.022020445 +122482.62 1073.671 625.031 0.0277290461 +124753.51 990.947 575.427 0.0196494275 +127064.48 912.183 528.317 0.0237507895 +129374.50 842.163 455.1186 0.00993498868 +131694.51 776.392 418.8698 0.00908713376 +134058.44 718.058 387.0787 0.00647618715 +136468.46 661.415 356.441 0.00712460525 +138948.43 609.401 328.2859 0.00928164856 +141483.52 561.961 302.7278 0.0101121709 +144078.46 518.647 279.5876 0.00618417335 +146763.50 476.7639 257.4781 0.00626490223 +149540.60 438.3446 237.1628 0.00518613536 +152446.45 403.1694 218.6274 0.00531450844 +156028.43 370.0706 201.3174 0.00643303972 +159433.53 340.3971 185.8325 0.00764362479 +163228.43 312.4427 171.2608 0.00988008097 +167164.33 286.6935 157.9546 0.0326457348 +171193.34 263.1844 145.7734 0.0271688056 +175379.29 241.3738 134.4808 0.0192866793 +179688.27 221.1137 123.907 0.0260614658 +184070.45 202.4894 114.3116 0.0282762091 +188598.43 185.5163 105.4609 0.0176286415 +193113.45 169.445 97.1176 0.0188802542 +197824.48 154.4099 89.3238 0.0241953715 +239658.44 65.544 81.2136 0.00253061257 +243377.42 62.4943 77.5486 0.00339470175 +246496.48 60.8736 75.6053 0.00243741667 diff --git a/calib_data/calib2024-12-09_p1_c6.dat b/calib_data/calib2024-12-09_p1_c6.dat new file mode 100644 index 0000000..9498d74 --- /dev/null +++ b/calib_data/calib2024-12-09_p1_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68813.64 17527.28 19658.93 1.40000357 +71418.41 13330.85 15037.95 0.620523972 +73618.42 11425.09 12926.58 0.207267943 +75815.79 9840.4 11167.5 0.313049517 +78014.49 8571.14 9753.71 0.357057418 +80208.41 7466.05 8515.74 0.30469657 +82406.43 6550.5 7487.53 0.289153938 +84604.52 5780.17 6617.52 0.386212377 +86856.45 5132.43 5884.02 0.378364903 +89062.58 4559.733 5236.68 0.16358484 +91267.43 4060.253 4665.325 0.0698032951 +93488.44 3630.251 4173.53 0.0747127834 +95707.42 3253.886 3741.482 0.0719138373 +97933.46 2923.362 3361.059 0.0791384862 +100163.51 2628.11 3019.747 0.0852062204 +102435.60 2370.401 2721.615 0.0561114961 +104668.41 2150.113 2466.003 0.0791713332 +106897.42 1957.239 2241.897 0.0664838326 +109124.52 1786.514 2043.229 0.0608678897 +111353.54 1635.31 1866.943 0.0706406399 +113587.41 1502.087 1712.467 0.0682502747 +115818.43 1378.825 1568.318 0.0261457454 +118048.44 1267.046 1438.136 0.0332024096 +120308.41 1165.568 1320.307 0.0236241402 +122573.50 1073.672 1213.804 0.0290585616 +124844.52 990.948 1118.12 0.0224944438 +127155.65 912.137 1027.206 0.0249479458 +129465.77 842.157 946.829 0.0240603408 +131785.67 776.371 871.599 0.0229106962 +134148.44 718.079 805.11 0.0188679623 +136558.42 661.393 740.903 0.0264215821 +139038.42 609.422 682.202 0.0354062141 +141574.52 561.953 628.802 0.0356033706 +144168.46 518.585 580.259 0.0145910932 +146853.51 476.7035 533.799 0.036206353 +149631.64 438.3056 490.9376 0.00808727395 +152537.41 403.1377 451.9795 0.00758056726 +156119.43 370.0293 415.3827 0.00726780572 +159524.53 340.3336 382.6207 0.004331397 +163318.43 312.3789 351.841 0.00829819257 +167255.69 286.6338 323.4808 0.00811147336 +171283.63 263.1267 297.6154 0.00835487881 +175469.45 241.3079 273.6069 0.00874922854 +179778.42 221.0515 251.2991 0.0073436367 +184161.65 202.4309 230.7399 0.00394829077 +188688.43 185.4626 212.0169 0.00852578442 +193203.61 169.3714 194.238 0.00686440092 +197915.67 154.3548 177.655 0.0114873844 +202608.42 140.7267 162.5249 0.0102571439 +207247.44 128.3834 148.7106 0.00355021126 +211971.63 117.1462 136.1738 0.00259923066 +216737.41 106.4501 124.1992 0.00216240607 +221396.44 97.0013 113.5998 0.0026487733 +226023.50 88.2383 103.7365 0.00326266762 +230587.44 80.5658 95.0744 0.00202089089 +235123.58 73.3427 86.8984 0.00183956517 +239748.40 65.5242 78.0167 0.00275336158 +243468.42 62.4777 74.5537 0.00297001683 +246587.44 60.8586 72.6929 0.00183002732 diff --git a/calib_data/calib2024-12-09_p2_c1.dat b/calib_data/calib2024-12-09_p2_c1.dat new file mode 100644 index 0000000..47378aa --- /dev/null +++ b/calib_data/calib2024-12-09_p2_c1.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +68929.44 17525.06 445.7732 0.0110070886 +71533.61 13331.28 409.0457 0.00533863278 +73733.59 11426.75 389.2007 0.00457176115 +75931.64 9841.08 370.5847 0.00740682118 +78130.56 8572.12 353.8993 0.0101420412 +80323.50 7466.21 337.66 0.00972419662 +82522.59 6549.65 322.7234 0.00939489223 +84720.56 5780.02 308.8523 0.00532174783 +86972.49 5131.98 295.9845 0.00741248946 +89178.42 4559.583 283.6142 0.00940829421 +91383.51 4060.107 271.725 0.00790948797 +93604.52 3630.141 260.5775 0.00485231903 +95823.53 3253.593 249.9461 0.00640694935 +98048.42 2923.359 239.8273 0.00567987676 +100278.43 2627.971 230.0185 0.00771654068 +102551.61 2370.304 220.7704 0.00689666586 +104783.50 2150.086 212.244 0.00881362581 +107013.50 1957.239 204.2682 0.0093507219 +109240.60 1786.526 196.704 0.00820853215 +111468.45 1635.129 189.5712 0.00535686475 +113703.50 1502.035 182.947 0.00597327381 +115933.51 1378.678 176.3923 0.00632463438 +118164.52 1267.025 170.0542 0.0078112739 +120423.53 1165.578 164.0247 0.00651160502 +122688.42 1073.739 158.158 0.00200997512 +124960.59 990.953 152.6358 0.00257992248 +127271.61 912.104 147.0741 0.00274754436 +129581.65 842.083 141.8481 0.00317001577 +131901.63 776.299 136.6699 0.00208062491 +134263.48 718.03 131.832 0.00362215406 +136673.45 661.395 126.85 0.00202977831 +139153.51 609.356 122.0199 0.00254342289 +141690.60 561.837 117.3581 0.00335395289 +144283.49 518.502 112.864 0.00270554985 +146968.43 476.6404 108.3091 0.00195678307 +149747.44 438.2491 103.8639 0.0022558812 +152653.53 403.0998 99.58 0.00202484567 +156235.67 369.9805 95.3241 0.00178016853 +159640.57 340.2524 91.2984 0.00289551377 +163433.50 312.3058 87.3219 0.00270351623 +167371.57 286.5379 83.4662 0.00203862699 +171399.43 263.0458 79.771 0.00282842712 +175585.77 241.2186 76.1699 0.00268867997 +179893.63 220.9731 72.6624 0.00208901891 +184277.41 202.3362 69.2608 0.00179332094 +188803.63 185.3908 66.0166 0.00140854535 +193319.41 169.3127 62.7835 0.00260480326 +198031.63 154.2959 59.6202 0.00193804025 +202723.58 140.6751 56.5803 0.0031434058 +207363.60 128.3228 53.6963 0.00392950379 +212087.42 117.0955 50.9372 0.00269369635 +216853.61 106.4086 48.15557 0.000922176773 +221512.64 96.9604 45.60092 0.000669746221 +226138.46 88.2015 43.11612 0.000694377419 +230703.48 80.5342 40.84501 0.000591684037 +235239.46 73.3152 38.6116 0.000766681159 +239863.61 65.4984 36.08061 0.00112057574 +243583.62 62.4594 35.05735 0.000551225907 +246703.60 60.8456 34.50514 0.000837042412 diff --git a/calib_data/calib2024-12-09_p2_c2.dat b/calib_data/calib2024-12-09_p2_c2.dat new file mode 100644 index 0000000..3fe816d --- /dev/null +++ b/calib_data/calib2024-12-09_p2_c2.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69020.60 17521.25 19160.66 1.10789891 +71624.49 13332.05 14677.53 0.357505245 +73824.51 11426.43 12631.2 0.350713558 +76022.63 9842.02 10919.31 0.467001071 +78221.60 8572.97 9543.79 0.445522166 +80413.49 7466.84 8338.31 0.264367169 +82613.51 6549.61 7334.11 0.163981706 +84811.63 5780.53 6487.82 0.346929388 +87063.53 5131.78 5772.01 0.256300605 +89268.43 4559.598 5138.77 0.262697545 +91474.63 4060.368 4581.305 0.0597871224 +93695.64 3630.175 4100.194 0.0810333265 +95914.53 3253.612 3677.499 0.0420820627 +98138.42 2923.292 3305.131 0.0813197393 +100368.44 2627.984 2970.798 0.0772761283 +102642.48 2370.386 2678.729 0.0668797428 +104873.50 2150.008 2428.024 0.093136459 +107103.50 1957.301 2208.067 0.0578108986 +109331.64 1786.584 2013.277 0.0709372963 +111558.41 1635.047 1839.948 0.115237147 +113793.50 1501.958 1688.346 0.0547941603 +116023.51 1378.767 1546.729 0.0355654327 +118255.68 1267.03 1418.746 0.0194010309 +120513.49 1165.555 1302.844 0.0286076913 +122778.42 1073.701 1197.969 0.0183002732 +125051.64 990.915 1103.826 0.0208901891 +127362.49 912.111 1014.368 0.035771497 +129672.61 842.061 935.174 0.0217807254 +131992.63 776.287 861.023 0.0207870152 +134353.52 718.108 795.756 0.0223696223 +136763.54 661.367 732.317 0.0222733024 +139243.50 609.327 674.354 0.0204058815 +141781.65 561.829 621.664 0.0147105404 +144374.49 518.522 573.834 0.0215034881 +147058.43 476.6181 528.01 0.0327108545 +149838.44 438.2225 485.6684 0.00703306477 +152744.49 403.066 447.2169 0.00790752806 +156326.47 369.9634 411.0866 0.00729273611 +159731.65 340.1975 378.6279 0.00523536054 +163523.51 312.2478 348.2181 0.00920809427 +167462.49 286.49 320.1982 0.00564588346 +171490.58 262.974 294.6344 0.00797144905 +175676.45 241.1594 270.881 0.00824378554 +179983.62 220.9215 248.8323 0.00954992147 +184368.45 202.2911 228.496 0.0104288063 +188894.63 185.3456 209.9918 0.00428205558 +193410.62 169.2719 192.3826 0.00399048869 +198122.63 154.2534 175.9845 0.00563071931 +202814.50 140.6339 161.006 0.00831865374 +207454.52 128.2881 147.3176 0.00230304147 +212178.43 117.0633 134.9077 0.00274244417 +216944.49 106.3799 123.0563 0.00273879536 +221603.47 96.9399 112.5483 0.0023283041 +226228.41 88.1772 102.7779 0.00301147804 +230794.64 80.5161 94.1925 0.00198116128 +235330.58 73.2989 86.0813 0.00339131243 +239954.49 65.483 77.2736 0.00340646444 +243674.63 62.443 73.8283 0.00220022726 +246793.64 60.831 72.0002 0.00232723011 diff --git a/calib_data/calib2024-12-09_p2_c4.dat b/calib_data/calib2024-12-09_p2_c4.dat new file mode 100644 index 0000000..9904da7 --- /dev/null +++ b/calib_data/calib2024-12-09_p2_c4.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69111.64 17522.11 9861.93 0.586182565 +71715.65 13331.76 7771.22 0.382047118 +73915.62 11426.3 6788.53 0.298345437 +76113.52 9840.3 5957.33 0.187643279 +78312.60 8572.26 5280.54 0.34473178 +80503.50 7466.49 4677.664 0.143862434 +82703.51 6550.33 4172.595 0.127978514 +84902.64 5780.82 3740.963 0.093520586 +87153.49 5132.31 3372.24 0.0529528092 +89358.41 4559.683 3042.403 0.0641880051 +91565.68 4060.427 2749.761 0.11051199 +93786.45 3630.169 2493.806 0.0336808551 +96005.61 3253.713 2266.833 0.0899227446 +98229.42 2923.285 2065.078 0.0714954544 +100458.44 2627.859 1881.941 0.0869994253 +102733.48 2370.278 1720.101 0.0485685083 +104963.50 2149.994 1579.488 0.0271219468 +107193.51 1957.334 1455.324 0.0406743162 +109422.64 1786.719 1344.2 0.0134907376 +111648.45 1635.149 1244.29 0.0230217289 +113883.50 1501.964 1155.932 0.0276694778 +116113.51 1378.807 1072.922 0.0238243573 +118346.44 1267.038 996.875 0.0368035324 +120603.49 1165.576 926.834 0.0106957936 +122868.42 1073.631 862.838 0.0154142791 +125142.63 990.873 804.578 0.0216240607 +127453.52 912.039 748.434 0.0188255146 +129763.50 842.003 697.959 0.0189446562 +132083.51 776.197 649.989 0.028193971 +134443.52 718.075 607.115 0.0360901649 +136853.49 661.307 564.678 0.0296243143 +139333.51 609.284 525.433 0.0234968083 +141872.64 561.804 488.9275 0.00636906587 +144465.65 518.484 455.3698 0.00801847866 +147148.42 476.6086 422.6897 0.00508340437 +149928.44 438.1829 392.2026 0.00868009217 +152835.65 403.0322 363.9594 0.00940446702 +156417.43 369.939 337.064 0.00517687164 +159822.61 340.1488 312.5609 0.00852812992 +163614.63 312.1894 289.3057 0.00986818119 +167553.52 286.431 267.6289 0.01097857 +171581.63 262.9144 247.6397 0.00728017857 +175767.40 241.1098 228.8628 0.00500159974 +180073.63 220.857 211.2895 0.00630277717 +184458.45 202.2376 194.9342 0.0102925216 +188985.63 185.3029 179.9113 0.00470329672 +193501.61 169.2214 165.5149 0.00538785672 +198213.64 154.2178 151.9436 0.00249879971 +202905.66 140.5998 139.5063 0.00259248915 +207545.68 128.2556 128.1234 0.00260844781 +212268.43 117.0334 117.6926 0.00252665787 +217035.69 106.3446 107.6666 0.00151129084 +221693.63 96.9118 98.7431 0.00163370744 +226318.41 88.1543 90.3949 0.00251575039 +230885.72 80.4994 83.0307 0.00234115356 +235421.63 73.2796 76.0459 0.00260940606 +240045.65 65.4661 68.4196 0.00206009709 +243765.66 62.4288 65.4323 0.00308236922 +246884.64 60.8183 63.8363 0.00217738375 diff --git a/calib_data/calib2024-12-09_p2_c5-original.dat b/calib_data/calib2024-12-09_p2_c5-original.dat new file mode 100644 index 0000000..3c4b561 --- /dev/null +++ b/calib_data/calib2024-12-09_p2_c5-original.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69202.48 17520.84 10633.15 0.526735228 +71806.46 13330.02 8083.52 0.310096759 +74006.47 11426.05 6925.46 0.166853229 +76203.52 9839.43 5960.91 0.283001767 +78403.53 8571.91 5191.59 0.258244071 +80593.49 7466.2 4517.542 0.128769562 +82793.51 6550.42 3961.591 0.0623610455 +84993.52 5780.65 3493.4 0.118718154 +87244.49 5132.39 3099.171 0.104932836 +89448.43 4559.319 2750.915 0.0749833315 +91656.43 4060.32 2446.493 0.0738383369 +93877.44 3630.208 2184.32 0.0968710483 +96096.45 3253.654 1954.577 0.0774603124 +98320.59 2923.388 1752.902 0.0642464007 +100548.43 2627.921 1571.247 0.0265348827 +102823.48 2370.267 1413.818 0.0470914005 +105053.61 2150.083 1279.219 0.0165196852 +107283.51 1957.399 1161.542 0.0343744091 +109513.48 1786.809 1057.476 0.0198595065 +111738.45 1635.268 965.177 0.0334080829 +113973.50 1501.975 884.303 0.0214499417 +116203.63 1378.794 809.457 0.0254578082 +118437.44 1267.019 741.72 0.0225831796 +120693.54 1165.532 680.3 0.0132664992 +122958.43 1073.595 624.967 0.0300349796 +125233.51 990.807 575.29 0.0203469899 +127543.49 911.976 528.262 0.0197888858 +129853.50 841.986 454.9896 0.00988352164 +132173.51 776.218 418.8509 0.00955766708 +134533.52 718.077 387.4529 0.00920483569 +136943.49 661.304 356.2949 0.0088073265 +139424.51 609.28 328.1681 0.00730130125 +141964.48 561.787 302.6048 0.0113408994 +144556.45 518.425 279.4792 0.00749373071 +147238.42 476.5708 257.3655 0.00936509477 +150019.44 438.1419 237.0645 0.0109281746 +152926.45 402.9776 218.559 0.00681909085 +156508.43 369.8981 201.2538 0.0091834634 +159913.53 340.1029 185.6822 0.00700399886 +163705.67 312.1318 171.1044 0.0106632078 +167644.52 286.3659 157.8232 0.0161825832 +171672.63 262.8695 145.5398 0.0178077511 +175858.40 241.0612 134.1819 0.026371367 +180163.62 220.8055 123.7169 0.0193728934 +184548.41 202.1957 114.094 0.0173476223 +189076.32 185.2645 105.3134 0.0164737367 +193592.61 169.1779 96.9867 0.0100020498 +198304.64 154.1816 89.2345 0.0107081744 +202996.46 140.5638 170.3103 0.00487862686 +207636.44 128.2193 155.6827 0.00322815737 +212358.43 117.0038 142.4359 0.0022558812 +217126.49 106.3233 129.7808 0.00254086599 +221784.64 96.8887 118.5919 0.0028929224 +226409.42 88.1337 108.1973 0.00177792013 +230976.48 80.4793 99.0692 0.00277776889 +235512.63 73.2576 90.4551 0.00261705942 +240136.48 65.4556 81.1004 0.00320062494 +243856.43 62.4204 77.4605 0.00167481342 +246975.68 60.8054 75.5125 0.00263153947 diff --git a/calib_data/calib2024-12-09_p2_c5.dat b/calib_data/calib2024-12-09_p2_c5.dat new file mode 100644 index 0000000..d263d98 --- /dev/null +++ b/calib_data/calib2024-12-09_p2_c5.dat @@ -0,0 +1,50 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69202.48 17520.84 10633.15 0.526735228 +71806.46 13330.02 8083.52 0.310096759 +74006.47 11426.05 6925.46 0.166853229 +76203.52 9839.43 5960.91 0.283001767 +78403.53 8571.91 5191.59 0.258244071 +80593.49 7466.2 4517.542 0.128769562 +82793.51 6550.42 3961.591 0.0623610455 +84993.52 5780.65 3493.4 0.118718154 +87244.49 5132.39 3099.171 0.104932836 +89448.43 4559.319 2750.915 0.0749833315 +91656.43 4060.32 2446.493 0.0738383369 +93877.44 3630.208 2184.32 0.0968710483 +96096.45 3253.654 1954.577 0.0774603124 +98320.59 2923.388 1752.902 0.0642464007 +100548.43 2627.921 1571.247 0.0265348827 +102823.48 2370.267 1413.818 0.0470914005 +105053.61 2150.083 1279.219 0.0165196852 +107283.51 1957.399 1161.542 0.0343744091 +109513.48 1786.809 1057.476 0.0198595065 +111738.45 1635.268 965.177 0.0334080829 +113973.50 1501.975 884.303 0.0214499417 +116203.63 1378.794 809.457 0.0254578082 +118437.44 1267.019 741.72 0.0225831796 +120693.54 1165.532 680.3 0.0132664992 +122958.43 1073.595 624.967 0.0300349796 +125233.51 990.807 575.29 0.0203469899 +127543.49 911.976 528.262 0.0197888858 +129853.50 841.986 454.9896 0.00988352164 +132173.51 776.218 418.8509 0.00955766708 +134533.52 718.077 387.4529 0.00920483569 +136943.49 661.304 356.2949 0.0088073265 +139424.51 609.28 328.1681 0.00730130125 +141964.48 561.787 302.6048 0.0113408994 +144556.45 518.425 279.4792 0.00749373071 +147238.42 476.5708 257.3655 0.00936509477 +150019.44 438.1419 237.0645 0.0109281746 +152926.45 402.9776 218.559 0.00681909085 +156508.43 369.8981 201.2538 0.0091834634 +159913.53 340.1029 185.6822 0.00700399886 +163705.67 312.1318 171.1044 0.0106632078 +167644.52 286.3659 157.8232 0.0161825832 +171672.63 262.8695 145.5398 0.0178077511 +175858.40 241.0612 134.1819 0.026371367 +180163.62 220.8055 123.7169 0.0193728934 +184548.41 202.1957 114.094 0.0173476223 +189076.32 185.2645 105.3134 0.0164737367 +193592.61 169.1779 96.9867 0.0100020498 +198304.64 154.1816 89.2345 0.0107081744 diff --git a/calib_data/calib2024-12-09_p2_c6.dat b/calib_data/calib2024-12-09_p2_c6.dat new file mode 100644 index 0000000..27770b1 --- /dev/null +++ b/calib_data/calib2024-12-09_p2_c6.dat @@ -0,0 +1,61 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +69292.65 17520.29 19656.56 1.61593317 +71897.46 13329.87 15036.57 0.669186073 +74097.42 11426.25 12928.12 0.581515262 +76293.52 9840.18 11168.27 0.419297031 +78494.45 8573.23 9752.8 0.343220046 +80684.62 7466.19 8516.22 0.211092397 +82883.51 6549.74 7486.92 0.43099884 +85083.52 5780.36 6618.22 0.261074702 +87335.65 5131.58 5883.34 0.261610397 +89538.42 4559.213 5236.26 0.321309819 +91747.43 4060.127 4665.133 0.0629769799 +93968.44 3630.423 4173.45 0.0942974019 +96187.45 3253.643 3741.222 0.0939127254 +98411.63 2923.485 3361.152 0.0749639914 +100638.44 2627.989 3019.719 0.0639914057 +102913.49 2370.398 2721.683 0.0771368913 +105144.50 2150.018 2466.107 0.0854640275 +107373.47 1957.414 2241.697 0.0867415702 +109603.53 1786.751 2043.307 0.0685718601 +111829.41 1635.056 1866.836 0.0776942726 +114063.50 1501.934 1712.345 0.0871349528 +116294.51 1378.789 1568.2 0.0186547581 +118528.45 1267.018 1438.186 0.0256593063 +120783.50 1165.509 1320.18 0.0175499288 +123048.43 1073.589 1213.639 0.0144533733 +125323.52 990.824 1117.998 0.0338171554 +127633.52 911.964 1027.029 0.0181356003 +129943.62 842.012 946.656 0.025502941 +132264.51 776.234 871.367 0.0188706121 +134623.52 718 805.082 0.0258379566 +137033.50 661.287 740.723 0.0231969826 +139515.66 609.265 682.061 0.0216540989 +142055.67 561.725 628.651 0.0201221271 +144647.43 518.364 580.08 0.025019992 +147328.42 476.5293 533.61 0.0296984848 +150110.60 438.118 490.7403 0.00600341569 +153017.46 402.9544 451.7664 0.00374753252 +156598.44 369.8725 415.2328 0.00823747534 +160004.44 340.041 382.3106 0.00523870213 +163796.51 312.0853 351.5203 0.00479802043 +167735.68 286.3194 323.1536 0.00533704038 +171763.50 262.8298 297.2937 0.00674247729 +175948.44 241.014 273.2693 0.0045366287 +180253.63 220.7646 250.9722 0.00966933297 +184638.45 202.1557 230.4428 0.00643397233 +189167.43 185.2231 211.7332 0.00939659513 +193683.62 169.132 193.9639 0.00754645612 +198395.68 154.1378 177.418 0.00965608616 +203087.42 140.5262 162.2946 0.0111276233 +207727.44 128.1874 148.4948 0.00168997041 +212448.42 116.9793 135.9838 0.00277416654 +217217.41 106.2979 124.034 0.00227596134 +221875.76 96.8696 113.4435 0.00258166613 +226500.57 88.1116 103.6004 0.00257371327 +231067.44 80.4593 94.9558 0.00249719843 +235603.62 73.2411 86.7912 0.00191728975 +240227.45 65.4404 77.922 0.00291204396 +243947.43 62.41 74.4634 0.00242569578 +247066.48 60.7938 72.6212 0.00120664825 diff --git a/calib_data/calib2024-12-12_p0_c1.dat b/calib_data/calib2024-12-12_p0_c1.dat new file mode 100644 index 0000000..979ca32 --- /dev/null +++ b/calib_data/calib2024-12-12_p0_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54468.44 18348.03 19541.71 1.97420617 +56769.42 16020.73 17117.19 1.2763581 +59268.42 13213.81 14173.96 0.980938326 +61487.43 11227.85 12080.16 0.953016264 +63703.61 9601.96 10359.71 1.07354087 +65951.62 8289.88 8963.98 0.31394267 +68227.43 7147.01 7743 0.247386338 +70500.56 6221.25 6750.03 0.224521714 +72802.61 5442.66 5910.67 0.250619233 +75174.63 4790.663 5207.84 0.301396748 +77615.67 4219.835 4585.926 0.0572573139 +80048.41 3752.418 4076.745 0.0559687413 +82443.61 3362.297 3650.303 0.0747402168 +84798.43 3030.269 3286.006 0.0768400937 +87105.75 2744.021 2971.42 0.0721664742 +89380.61 2491.94 2693.912 0.049614514 +91652.58 2268.612 2447.382 0.0697538529 +93908.43 2071.218 2229.076 0.072113799 +96148.44 1895.284 2034.654 0.0640499805 +98378.41 1737.981 1860.194 0.0376881944 +100619.43 1596.13 1703.038 0.0889696577 +102886.43 1469.408 1563.049 0.0305434117 +105139.44 1351.237 1432.466 0.0175042852 +107388.45 1243.531 1313.685 0.0282577423 +109649.42 1146.503 1206.868 0.0205329004 +111917.44 1058.338 1110.289 0.0128413395 +114192.61 978.811 1023.415 0.0270277635 +116501.57 902.55 940.417 0.0158776573 +118811.56 834.4 866.618 0.0173666347 +121215.68 770.001 797.424 0.0219180291 +123594.61 712.759 736.111 0.021234406 +126048.42 657.069 676.867 0.030101495 +128618.43 605.75 622.609 0.027944588 +131160.56 558.977 573.481 0.0165801086 +134295.75 516.144 528.743 0.0251017928 +137020.60 474.8701 485.8708 0.00813363387 +139845.73 436.9099 446.6131 0.0086214268 +142792.58 402.0399 410.798 0.00828371897 +145917.44 369.774 377.7704 0.00785264287 +149351.57 340.116 347.558 0.0113022122 +153228.44 312.3999 319.3999 0.00855739446 +157251.58 287.0246 293.7097 0.00501208539 +161427.43 263.6528 270.0929 0.012714126 +165690.57 242.0287 248.2675 0.00802402642 +170137.40 221.7867 227.8743 0.00512845006 +174670.58 203.1598 209.1524 0.00785518937 +179287.43 186.2421 192.1288 0.0109825316 +183997.42 170.1195 175.9025 0.00822830481 +188726.44 155.1972 160.9649 0.00831438512 +193534.50 141.487 147.1067 0.00351297595 +198287.45 129.0991 134.6335 0.00497443464 +203033.50 117.8472 123.2951 0.00297808663 +207839.42 107.0928 112.4556 0.00295025423 +212554.51 97.6025 102.874 0.00412795349 +217269.45 88.7678 93.9597 0.00360568995 +221890.59 81.0637 86.159 0.00323109888 +226505.65 73.7778 78.7859 0.00303792692 +231247.44 65.9047 70.785 0.00296984848 +234997.46 62.836 67.6606 0.00401795968 +238165.75 61.1811 65.9781 0.00219749858 diff --git a/calib_data/calib2024-12-12_p0_c2.dat b/calib_data/calib2024-12-12_p0_c2.dat new file mode 100644 index 0000000..0d24342 --- /dev/null +++ b/calib_data/calib2024-12-12_p0_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54558.44 18346.94 20298.94 2.28649076 +56860.57 16016.51 17786.13 1.56454786 +59358.43 13211.87 14733.48 1.46777382 +61578.44 11226.83 12565.19 1.30003461 +63794.49 9601.97 10782.3 1.19899958 +66042.62 8290.13 9339.99 0.29238673 +68318.43 7146.12 8073.32 0.192769292 +70591.64 6220.85 7044.66 0.128218563 +72893.57 5441.65 6174.89 0.306740933 +75265.74 4789.847 5445.77 0.321263132 +77706.47 4219.575 4801.996 0.0694146959 +80138.45 3752.076 4273.319 0.100094455 +82534.62 3362.088 3830.701 0.0541377872 +84888.43 3029.934 3452.433 0.0661369791 +87196.44 2743.695 3125.444 0.0869620607 +89471.57 2491.683 2836.905 0.0684434073 +91743.58 2268.353 2580.734 0.0690101442 +93998.43 2070.906 2353.531 0.0735452242 +96238.44 1895.216 2151.093 0.0524223235 +98468.42 1737.678 1969.159 0.066294042 +100710.55 1595.797 1805.383 0.0653766013 +102977.44 1469.169 1659.968 0.0437675679 +105230.60 1351.058 1522.829 0.0287906235 +107478.42 1243.375 1398.573 0.0194447936 +109740.59 1146.293 1286.898 0.02252998 +112008.43 1058.187 1185.664 0.0244622158 +114283.61 978.652 1094.516 0.0199599599 +116592.57 902.421 1007.349 0.0280517379 +118902.58 834.257 929.821 0.0236833275 +121306.44 769.897 856.916 0.0176181724 +123703.57 712.618 792.239 0.0301147804 +126142.55 656.893 729.53 0.0241660919 +128708.44 605.63 672.212 0.0192249837 +131251.61 558.846 620.032 0.0229259678 +134386.46 516.074 572.525 0.0259711378 +137111.60 474.7847 527.078 0.028628657 +139936.45 436.8153 485.0718 0.00641217592 +142883.63 401.947 446.7592 0.00854494002 +146008.44 369.6755 411.3841 0.00856557062 +149442.62 339.9784 378.913 0.010633908 +153318.43 312.2623 348.6489 0.0130778056 +157342.49 286.8863 320.9444 0.0104644159 +161518.43 263.5279 295.4484 0.00904676738 +165781.61 241.9209 271.8473 0.0119390536 +170228.44 221.6751 249.7335 0.00448831817 +174761.61 203.0483 229.3881 0.00628243583 +179378.43 186.1499 210.8661 0.00927626002 +184088.42 170.0412 193.196 0.0103014562 +188817.44 155.1072 176.8738 0.0118935277 +193625.66 141.4124 161.7902 0.0124312509 +198378.44 129.0285 148.064 0.00331360831 +203123.62 117.7845 135.6312 0.00442899537 +207930.56 107.0342 123.709 0.00219089023 +212645.63 97.5485 113.166 0.00270924344 +217360.61 88.7244 103.3319 0.00297136332 +221981.64 81.0213 94.7206 0.00297052184 +226596.45 73.7403 86.557 0.00232379001 +231338.44 65.8692 77.6994 0.00328390012 +235088.41 62.8027 74.2436 0.00255812431 +238256.47 61.1498 72.3764 0.00232894826 diff --git a/calib_data/calib2024-12-12_p0_c4.dat b/calib_data/calib2024-12-12_p0_c4.dat new file mode 100644 index 0000000..b754bb2 --- /dev/null +++ b/calib_data/calib2024-12-12_p0_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54648.44 18347.44 10735.44 0.900466546 +56951.58 16015.19 9530.27 0.5122597 +59448.43 13208.68 8043.85 0.521008637 +61668.44 11228.18 6966.3 0.433820239 +63885.65 9601 6069.41 0.604061255 +66133.62 8289.11 5334.52 0.306528955 +68408.43 7145.86 4679.489 0.0833360666 +70682.48 6220.58 4142.415 0.100630512 +72984.62 5441.29 3682.756 0.0655164102 +75356.46 4789.645 3293.657 0.0812163777 +77797.43 4219.187 2946.53 0.0550999093 +80228.45 3751.525 2657.94 0.0670074623 +82625.66 3361.764 2413.829 0.0437138422 +84978.43 3029.432 2202.872 0.0530622276 +87287.44 2743.389 2018.96 0.0677642974 +89562.57 2491.23 1855.196 0.0692560467 +91833.54 2268.074 1708.548 0.0355752723 +94088.43 2070.926 1576.781 0.0295110149 +96328.45 1895.277 1458.796 0.0249078301 +98558.41 1737.516 1351.841 0.0357057418 +100801.62 1595.695 1254.489 0.0260173019 +103068.43 1469.024 1167.21 0.0167928556 +105321.60 1350.816 1084.433 0.0160031247 +107568.42 1243.235 1008.337 0.0197509493 +109831.58 1146.123 938.997 0.0182784026 +112098.44 1058.053 875.333 0.0183330303 +114374.49 978.539 817.368 0.0171930218 +116683.62 902.236 761.102 0.0211565593 +118993.63 834.092 710.361 0.034159918 +121397.44 769.763 661.87 0.0364417343 +123793.61 712.516 618.237 0.028286039 +126233.62 656.776 575.301 0.0241018671 +128798.43 605.491 535.309 0.0182455474 +131342.57 558.795 498.3337 0.00692538808 +134477.42 515.996 464.1535 0.0097316494 +137202.48 474.6948 430.9307 0.00920440112 +140027.45 436.7268 399.9142 0.00720527584 +142974.66 401.8672 371.091 0.00773045924 +146098.44 369.5752 344.1034 0.00862461593 +149533.62 339.8515 318.9847 0.00578454838 +153408.44 312.1263 295.3115 0.00764493296 +157432.50 286.7713 273.4021 0.00587783974 +161608.43 263.4242 253.0249 0.00837669386 +165872.62 241.8028 233.948 0.0113973681 +170318.44 221.573 215.9613 0.00506566876 +174852.62 202.9488 199.2403 0.00866954439 +179468.44 186.0664 183.8891 0.0102629918 +184178.42 169.9531 169.1323 0.00879664709 +188908.44 155.0311 155.3388 0.00343161769 +193716.46 141.3421 142.5615 0.00198620241 +198468.45 128.9657 130.9023 0.00366073763 +203214.50 117.7228 120.2248 0.00367096718 +208021.61 106.9794 109.9389 0.00341306314 +212736.42 97.4974 100.7867 0.00270573465 +217451.61 88.6784 92.2132 0.00209666402 +222072.63 80.9767 84.6673 0.00358343411 +226687.41 73.7022 77.4891 0.00247971773 +231428.44 65.8342 69.6631 0.00222013513 +235178.41 62.7694 66.5935 0.00294023809 +238347.42 61.1237 64.937 0.00167928556 diff --git a/calib_data/calib2024-12-12_p0_c5.dat b/calib_data/calib2024-12-12_p0_c5.dat new file mode 100644 index 0000000..95f0afd --- /dev/null +++ b/calib_data/calib2024-12-12_p0_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54738.45 18353.22 23133.47 1.15629149 +57042.62 16012.25 20188.7 2.39415956 +59538.43 13206.62 16650.07 1.85688179 +61758.44 11227.44 14140.16 1.40293977 +63976.45 9599.21 12087.5 1.6810116 +66224.58 8288.14 10430.94 0.486456576 +68498.43 7146.1 8983.56 0.26046113 +70774.48 6220.62 7813.39 0.203690942 +73075.73 5440.68 6826.11 0.250778787 +75447.42 4789.472 6002.54 0.228997817 +77888.43 4218.864 5279.13 0.360846228 +80319.40 3751.233 4682.948 0.0688302259 +82716.46 3361.499 4187.832 0.0818144242 +85068.43 3029.103 3765.593 0.0683527615 +87378.44 2743.008 3401.642 0.0692502708 +89653.57 2491.04 3080.969 0.0819322891 +91923.58 2267.787 2796.961 0.0548898898 +94178.44 2070.869 2546.07 0.0483321839 +96418.44 1895.05 2322.886 0.0768010417 +98648.46 1737.482 2122.763 0.0636089616 +100892.66 1595.572 1942.623 0.056745925 +103158.43 1468.903 1782.999 0.100353874 +105412.60 1350.654 1633.664 0.0996915242 +107658.41 1243.139 1497.541 0.0231711027 +109922.59 1146.067 1375.621 0.0134499071 +112188.44 1057.916 1265.422 0.0207267943 +114465.61 978.448 1166.467 0.0227618101 +116774.62 902.133 1071.939 0.0149966663 +119083.63 834.009 988.034 0.0251077677 +121488.45 769.688 909.216 0.0196570598 +123884.58 712.437 839.446 0.0195550505 +126323.63 656.672 771.949 0.0292728543 +128888.44 605.43 710.263 0.0267600448 +131433.61 558.758 654.39 0.0256515107 +134568.42 515.923 603.472 0.024240462 +137292.60 474.6119 554.798 0.0196875595 +140118.45 436.6173 510.089 0.0302473139 +143065.74 401.7946 469.047 0.00611555394 +146188.45 369.4865 431.3173 0.00867991935 +149624.65 339.7403 396.7116 0.0107890685 +153498.43 312.008 364.5493 0.00735669763 +157523.61 286.6485 335.1506 0.00928891813 +161698.44 263.3168 308.1866 0.0096158203 +165963.61 241.6745 283.1943 0.0102157232 +170408.43 221.4674 259.8751 0.00697775035 +174943.50 202.8716 238.4321 0.00711540582 +179558.44 185.9823 218.9394 0.0124781409 +184268.41 169.8697 200.364 0.00943716059 +188998.44 154.9598 183.2225 0.0128446487 +193807.42 141.2743 167.3963 0.0083881464 +198559.44 128.9052 153.0177 0.00305957513 +203305.62 117.6644 140.0043 0.00340602408 +208112.49 106.9295 127.5502 0.00337283264 +212827.43 97.4515 116.5475 0.00304055916 +217542.61 88.6344 106.2887 0.00346713138 +222163.52 80.9413 97.3197 0.00136418474 +226778.39 73.6737 88.8341 0.00332701067 +231518.43 65.8079 79.625 0.00162480768 +235268.42 62.7437 76.0459 0.00398610085 +238438.43 61.0999 74.1024 0.00417660149 diff --git a/calib_data/calib2024-12-12_p0_c6.dat b/calib_data/calib2024-12-12_p0_c6.dat new file mode 100644 index 0000000..2acbb96 --- /dev/null +++ b/calib_data/calib2024-12-12_p0_c6.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54828.44 18354.2 10504.74 0.62260742 +57133.61 16007.93 9363.25 1.32538674 +59628.43 13206.8 7960.81 0.778132379 +61849.44 11222.83 6939.85 0.449499722 +64067.41 9599.98 6079.73 0.421912313 +66315.70 8288.09 5367.63 0.349871405 +68588.43 7145.93 4730.241 0.108861839 +70865.69 6220.3 4202.127 0.0979801 +73166.45 5440.8 3747.293 0.0942448938 +75538.43 4789.153 3359.29 0.0733757453 +77978.41 4218.691 3011.45 0.0842733647 +80410.61 3750.814 2719.929 0.0582829306 +82807.42 3361.342 2472.757 0.101351369 +85158.43 3028.915 2258.147 0.0655293827 +87468.44 2742.626 2070.142 0.0751638211 +89743.57 2490.978 1902.191 0.0765826351 +92013.59 2267.768 1750.835 0.0533338542 +94268.43 2070.407 1615.301 0.0660371108 +96508.44 1894.778 1492.24 0.0259229628 +98739.41 1737.459 1381.171 0.0290671636 +100983.50 1595.459 1279.822 0.0472398137 +103249.44 1468.8 1188.724 0.0216887067 +105503.49 1350.563 1102.369 0.0179694185 +107748.41 1242.959 1022.892 0.0294210809 +110013.63 1145.999 950.624 0.0160124951 +112278.44 1057.796 884.376 0.0300399734 +114556.45 978.34 824.079 0.0254342289 +116865.74 902.047 765.821 0.0161523992 +119173.63 833.924 713.374 0.0277200289 +121578.45 769.588 663.453 0.0154951605 +123975.78 712.326 618.818 0.0130230565 +126413.63 656.573 574.946 0.020307634 +128978.44 605.374 534.41 0.0271661554 +131524.65 558.673 497.039 0.0061367744 +134658.42 515.873 462.6929 0.0111062595 +137383.64 474.545 429.4353 0.0080000625 +140209.42 436.527 398.4623 0.00836187778 +143156.46 401.7313 369.9268 0.0100317496 +146278.44 369.4088 343.1652 0.00564233994 +149715.74 339.6288 318.3396 0.00417420651 +153588.43 311.9105 295.0225 0.00795267251 +157614.65 286.5456 273.4871 0.00797176267 +161788.43 263.2188 253.4981 0.00652449232 +166054.65 241.5606 234.7708 0.00830397495 +170498.43 221.3652 217.098 0.00858836422 +175033.50 202.7909 200.6804 0.00925548486 +179648.44 185.898 185.5952 0.0091485518 +184358.41 169.7917 171.0673 0.00705556518 +189088.44 154.8913 157.4589 0.00357896633 +193898.42 141.2136 144.8319 0.00412662089 +198650.56 128.8403 133.2778 0.00208230641 +203396.42 117.6122 122.6816 0.00313751494 +208203.49 106.8795 112.4479 0.00292728543 +212918.42 97.4062 103.3134 0.00267656496 +217633.54 88.5938 94.7378 0.00292164337 +222253.51 80.9081 87.1796 0.00250679078 +226868.46 73.6433 79.9625 0.00161400124 +231608.43 65.7825 72.0857 0.00257701378 +235358.41 62.722 68.9913 0.0030101495 +238528.43 61.0767 67.3257 0.00280017857 diff --git a/calib_data/calib2024-12-12_p1_c1.dat b/calib_data/calib2024-12-12_p1_c1.dat new file mode 100644 index 0000000..a5f13fb --- /dev/null +++ b/calib_data/calib2024-12-12_p1_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +54943.48 18351.45 19545.33 1.93153048 +57249.42 16004.04 17107.16 1.94176209 +59743.64 13205.89 14159.03 1.17184043 +61965.68 11220.16 12075.85 0.994308805 +64183.61 9600.89 10357.04 1.28873581 +66431.62 8287.88 8962.06 0.339764624 +68703.59 7144.6 7741.27 0.24861617 +70981.64 6219.11 6747.97 0.202014851 +73282.57 5439.48 5908.19 0.251575039 +75653.63 4788.884 5205.75 0.295719462 +78093.63 4218.652 4584.972 0.0662238628 +80526.41 3750.76 4074.979 0.0691006512 +82923.63 3360.946 3648.681 0.061570285 +85273.59 3028.846 3284.523 0.101578049 +87583.61 2742.71 2970.095 0.0637220527 +89859.45 2490.709 2692.472 0.0901975609 +92128.42 2267.579 2445.923 0.0657274676 +94383.59 2070.201 2227.934 0.063924956 +96623.92 1894.421 2033.369 0.0784786595 +98855.65 1737.166 1859.243 0.0680595328 +101098.42 1595.218 1702.18 0.0674981481 +103365.71 1468.704 1562.145 0.0223718573 +105618.40 1350.508 1431.566 0.0293666477 +107863.62 1242.77 1312.843 0.0213564978 +110129.43 1145.804 1206.154 0.0184499322 +112393.65 1057.695 1109.591 0.03103063 +114672.61 978.22 1022.714 0.0213166602 +116981.58 901.882 939.821 0.0240603408 +119289.43 833.849 866.103 0.0137876757 +121693.60 769.485 796.828 0.0232723011 +124091.53 712.237 735.573 0.0218197159 +126537.70 656.471 676.286 0.0198595065 +129093.60 605.301 622.141 0.0197711912 +131640.57 558.529 573.021 0.023767625 +134773.63 515.778 528.321 0.0292728543 +137499.43 474.4704 485.4299 0.00525823164 +140325.73 436.4748 446.1784 0.00543911758 +143272.59 401.6475 410.3882 0.00599966666 +146393.64 369.3175 377.311 0.00791580697 +149831.58 339.5085 346.9393 0.00819640165 +153703.64 311.7886 318.7668 0.00956953499 +157730.58 286.4063 293.0784 0.00530320658 +161904.63 263.0848 269.515 0.01 +166170.57 241.4513 247.6981 0.00515839122 +170614.67 221.2564 227.3554 0.00449488598 +175148.42 202.6773 208.6587 0.00778337973 +179763.52 185.8008 191.6867 0.00832111771 +184473.49 169.7086 175.4916 0.00516759132 +189203.48 154.8031 160.5692 0.0104343663 +194013.51 141.1395 146.7511 0.00267001873 +198766.44 128.7681 134.2933 0.00276423588 +203512.62 117.5445 122.9872 0.00332505639 +208318.45 106.8236 112.1796 0.00235881326 +213033.51 97.3513 102.6234 0.00314388295 +217748.41 88.548 93.7389 0.00214219514 +222368.43 80.8605 85.956 0.00300998339 +226983.50 73.6024 78.6051 0.00230412673 +231724.52 65.744 70.6288 0.00250918313 +235473.49 62.6855 67.5209 0.00272928562 +238643.51 61.0508 65.8466 0.00265781865 diff --git a/calib_data/calib2024-12-12_p1_c2.dat b/calib_data/calib2024-12-12_p1_c2.dat new file mode 100644 index 0000000..08714b7 --- /dev/null +++ b/calib_data/calib2024-12-12_p1_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55033.57 18351.94 20301.35 1.95791981 +57340.58 16005.95 17766.05 2.44181285 +59834.63 13201.07 14717.45 1.51916095 +62056.48 11219.87 12558.53 1.12597069 +64274.61 9600.79 10781.46 1.36720152 +66522.62 8288.62 9337.28 0.28135387 +68794.63 7145.11 8073.04 0.215034881 +71072.49 6218.99 7042.46 0.263134946 +73373.61 5439.56 6173 0.225831796 +75744.59 4788.724 5445.14 0.267282622 +78184.63 4218.417 4800.803 0.083582893 +80617.45 3750.609 4271.673 0.0800381159 +83014.62 3360.862 3829.41 0.0883742044 +85363.63 3028.853 3451.306 0.081292066 +87674.60 2742.598 3124.271 0.0839696374 +89950.57 2490.689 2835.791 0.0745312015 +92218.42 2267.402 2579.564 0.0565720779 +94473.60 2070.122 2352.421 0.0775299942 +96714.64 1894.337 2150.117 0.0860935538 +98946.46 1736.996 1968.36 0.0501796772 +101188.42 1595.192 1804.763 0.0764467135 +103456.48 1468.616 1659.364 0.0740702369 +105708.45 1350.378 1522.071 0.0245540221 +107954.65 1242.712 1397.953 0.0230672929 +110220.59 1145.723 1286.245 0.0267301328 +112484.48 1057.627 1185.025 0.0288530761 +114763.49 978.11 1093.917 0.0205450724 +117072.58 901.882 1006.807 0.0298680431 +119380.59 833.77 929.305 0.0357561184 +121784.60 769.448 856.334 0.0237991596 +124182.54 712.174 791.715 0.0341247711 +126645.75 656.442 729.037 0.0222733024 +129183.59 605.262 671.744 0.0160124951 +131731.57 558.455 619.66 0.0177763888 +134864.67 515.685 572.147 0.0213096222 +137590.60 474.4054 526.695 0.0276857364 +140416.45 436.4085 484.6341 0.00777103597 +143363.63 401.6093 446.3994 0.0100818649 +146484.68 369.2612 410.9522 0.00610213078 +149922.61 339.4191 378.3076 0.00751159104 +153794.47 311.6983 348.0262 0.00609885235 +157821.54 286.323 320.3253 0.00736077442 +161995.80 262.9926 294.8782 0.00638717465 +166261.58 241.3695 271.2608 0.00598965775 +170705.80 221.1753 249.2046 0.00788187795 +175238.42 202.6036 228.8833 0.00730759878 +179854.52 185.7317 210.4162 0.00759973684 +184563.62 169.6454 192.7559 0.00883227038 +189293.52 154.731 176.4724 0.0133844686 +194103.50 141.0804 161.4261 0.0107335455 +198857.45 128.7166 147.7217 0.0019851952 +203603.50 117.4946 135.3115 0.0021691012 +208408.45 106.7832 123.4324 0.0025698249 +213124.60 97.315 112.9071 0.00186788651 +217838.41 88.5155 103.0995 0.00283284309 +222458.43 80.8342 94.511 0.00251396102 +227073.49 73.575 86.375 0.00262297541 +231815.68 65.7228 77.5388 0.0016358484 +235563.50 62.6639 74.0907 0.00289844786 +238733.51 61.033 72.2361 0.00299148792 diff --git a/calib_data/calib2024-12-12_p1_c4.dat b/calib_data/calib2024-12-12_p1_c4.dat new file mode 100644 index 0000000..27ee5e1 --- /dev/null +++ b/calib_data/calib2024-12-12_p1_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55124.61 18351.29 10735.5 0.774467559 +57431.58 16001.43 9519.93 0.576203089 +59925.63 13196.58 8036.96 0.437995434 +62147.44 11218.31 6963.49 0.645360364 +64365.65 9596.93 6069.63 0.391675886 +66613.62 8287.62 5333.33 0.18817545 +68885.67 7145.2 4679.151 0.0909884608 +71163.48 6219.65 4141.747 0.127122382 +73464.62 5440.09 3682.144 0.0939595658 +75835.66 4788.662 3292.958 0.0750306604 +78275.64 4218.206 2945.941 0.058965244 +80708.41 3750.275 2657.236 0.0662449998 +83105.78 3360.765 2413.221 0.0811473968 +85454.63 3028.543 2202.465 0.0792496057 +87765.68 2742.556 2018.474 0.0674566527 +90041.57 2490.429 1854.986 0.0750759615 +92308.42 2267.249 1708.042 0.0962579867 +94563.55 2069.962 1576.265 0.025029982 +96805.68 1894.475 1458.258 0.0361330873 +99037.43 1737.012 1351.428 0.0214848784 +101279.43 1595.171 1254.103 0.0269091063 +103547.43 1468.521 1166.855 0.0231624696 +105798.41 1350.234 1083.979 0.0229543024 +108045.78 1242.705 1007.988 0.031931176 +110311.59 1145.655 938.596 0.0224142812 +112575.80 1057.581 874.998 0.0224410338 +114853.61 978.047 817.001 0.0191023559 +117163.62 901.782 760.767 0.0233687826 +119471.59 833.718 710.043 0.0291221565 +121875.69 769.38 661.587 0.0164347193 +124273.62 712.124 617.954 0.0144360659 +126736.43 656.336 574.936 0.02691468 +129274.64 605.138 535.076 0.022680388 +131822.61 558.45 498.037 0.00870861642 +134955.75 515.619 463.8849 0.00730814614 +137681.60 474.3361 430.6701 0.00855154957 +140507.45 436.3506 399.5999 0.00751724684 +143454.67 401.5633 370.8361 0.00623931086 +146575.76 369.1947 343.7829 0.00809376303 +150013.61 339.3447 318.5422 0.00753763889 +153885.75 311.6125 294.8444 0.00798398397 +157912.58 286.2438 272.9359 0.0102307869 +162086.44 262.9022 252.5937 0.00776665951 +166352.61 241.2806 233.5074 0.00667263067 +170796.48 221.1118 215.5618 0.00536246212 +175328.42 202.538 198.8421 0.00678888798 +179945.64 185.6546 183.5357 0.00853703696 +184654.50 169.5724 168.8025 0.0073256399 +189383.52 154.6759 155.0158 0.0031931176 +194193.51 141.0301 142.262 0.00275317998 +198948.41 128.6689 130.6199 0.00202706685 +203693.50 117.4505 119.9659 0.00226030971 +208499.45 106.738 109.7074 0.00243803199 +213215.68 97.2769 100.5739 0.00250379712 +217928.45 88.4839 92.0193 0.00213096222 +222548.43 80.8068 84.4959 0.00280873637 +227163.50 73.5501 77.3359 0.00268867997 +231906.44 65.6988 69.5244 0.00171580885 +235653.49 62.6434 66.4718 0.00283830936 +238823.63 61.0187 64.8276 0.00192457788 diff --git a/calib_data/calib2024-12-12_p1_c5.dat b/calib_data/calib2024-12-12_p1_c5.dat new file mode 100644 index 0000000..6b7a9de --- /dev/null +++ b/calib_data/calib2024-12-12_p1_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55215.64 18351.36 23138.41 2.2650585 +57522.62 15997.56 20176.32 1.6853961 +60016.43 13195.62 16633.4 1.19239255 +62238.44 11218.31 14131.2 1.00468901 +64456.41 9593.99 12082.51 1.54527991 +66704.59 8287.48 10427.82 0.52721912 +68976.44 7144.31 8981.84 0.101192885 +71253.48 6219.78 7811.49 0.227793766 +73555.66 5440.13 6824.33 0.219111844 +75926.43 4788.891 6002.24 0.201593651 +78366.48 4218.315 5278.53 0.236664319 +80798.45 3749.97 4681.717 0.0647000773 +83196.42 3360.806 4187.144 0.0641435889 +85545.67 3028.421 3764.751 0.0590330416 +87856.45 2742.461 3400.568 0.103564473 +90132.61 2490.264 3080.196 0.0816725168 +92398.43 2267.163 2796.095 0.0656848537 +94653.60 2070.058 2545.425 0.101284253 +96896.44 1894.488 2321.862 0.0610376933 +99128.41 1736.888 2122.044 0.0437309959 +101370.59 1594.984 1941.929 0.100989603 +103638.44 1468.423 1782.428 0.119589297 +105888.44 1350.12 1633.202 0.0528734338 +108136.45 1242.695 1496.965 0.0319765539 +110402.59 1145.581 1375.075 0.0281868764 +112666.44 1057.543 1264.877 0.0151029798 +114944.65 978.032 1166.007 0.0235393288 +117254.66 901.717 1071.455 0.0272855273 +119607.43 833.627 987.592 0.0219909072 +121966.44 769.281 908.738 0.0200897984 +124364.65 712.069 839.015 0.0221020361 +126827.42 656.234 771.479 0.0196697738 +129365.63 605.09 709.86 0.02310844 +131913.61 558.428 653.992 0.0159248234 +135046.47 515.592 603.036 0.0192457788 +137772.60 474.2923 554.473 0.0270942798 +140598.42 436.288 509.693 0.0310821492 +143545.74 401.5134 468.7256 0.00555013513 +146666.44 369.1438 430.9235 0.00843237808 +150104.66 339.2632 396.1673 0.00729115903 +153976.47 311.533 363.9717 0.00912365059 +158003.61 286.1688 334.604 0.00578446195 +162177.43 262.8182 307.6327 0.00864528773 +166443.62 241.1925 282.6592 0.0103680278 +170887.44 221.0299 259.3766 0.0113059276 +175418.42 202.4619 237.9676 0.00489530387 +180036.44 185.5909 218.5192 0.0108552292 +184745.67 169.504 199.9583 0.00795870592 +189474.52 154.6223 182.8236 0.0155930754 +194283.50 140.9786 167.0527 0.0132552254 +199038.44 128.6227 152.6888 0.00225743217 +203784.50 117.4094 139.7036 0.00364197748 +208590.57 106.6996 127.2933 0.00287419554 +213306.43 97.2433 116.3051 0.00162141913 +218018.41 88.4567 106.0772 0.00190157829 +222638.44 80.7791 97.1312 0.00314261038 +227253.61 73.5312 88.6642 0.00240748832 +231997.43 65.6773 79.476 0.00203469899 +235743.49 62.6286 75.8995 0.00132853303 +238913.52 61.0006 73.9887 0.00281442712 diff --git a/calib_data/calib2024-12-12_p1_c6.dat b/calib_data/calib2024-12-12_p1_c6.dat new file mode 100644 index 0000000..6cb94a0 --- /dev/null +++ b/calib_data/calib2024-12-12_p1_c6.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55306.44 18354.37 10509.04 0.746886872 +57613.61 16000.05 9363.65 0.470159547 +60107.43 13197.11 7955.55 0.642222703 +62328.44 11218.86 6938.58 0.378364903 +64547.42 9595.85 6078.42 0.526839634 +66795.67 8287.34 5367.4 0.258843582 +69067.43 7143.32 4728.67 0.10198039 +71343.49 6219.2 4201.297 0.0683234952 +73646.45 5439.38 3746.494 0.0576576101 +76017.42 4788.854 3359.081 0.0646289409 +78457.44 4218.385 3011.169 0.0954824591 +80888.41 3749.668 2719.183 0.0598172216 +83287.42 3360.567 2472.38 0.0585662019 +85636.47 3028.283 2257.758 0.0744687854 +87947.44 2742.062 2069.688 0.0664499812 +90223.54 2489.984 1901.536 0.0780153831 +92488.42 2267.13 1750.469 0.0495671262 +94743.56 2069.924 1614.635 0.0791233215 +96987.40 1894.334 1491.927 0.0361676651 +99218.41 1736.718 1380.76 0.0391663121 +101461.62 1595.1 1279.515 0.0279732015 +103728.44 1468.379 1188.43 0.0221359436 +105978.44 1350.055 1101.939 0.0230412673 +108227.42 1242.621 1022.621 0.0129961533 +110493.60 1145.506 950.301 0.0400112484 +112757.44 1057.455 884.056 0.0204058815 +115035.73 978.001 823.851 0.0216540989 +117345.78 901.661 765.557 0.014003571 +119698.43 833.508 713.024 0.0229434086 +122057.44 769.205 663.231 0.0202212759 +124455.66 711.959 618.509 0.0294091822 +126918.43 656.209 574.675 0.016507574 +129456.48 605.021 534.161 0.0226914081 +132012.45 558.347 496.7684 0.0110156253 +135137.43 515.531 462.4491 0.00779159804 +137863.64 474.2436 429.1891 0.00674603587 +140688.45 436.2263 398.228 0.00697423831 +143636.46 401.456 369.6833 0.00588396125 +146757.44 369.1056 342.9338 0.0051260121 +150195.78 339.1933 317.9729 0.00615215409 +154067.43 311.451 294.661 0.00558569602 +158094.66 286.0791 273.0799 0.00715604639 +162268.44 262.7546 253.0942 0.00570753887 +166534.66 241.1224 234.3899 0.00860168588 +170978.44 220.9483 216.7454 0.00984296703 +175508.42 202.398 200.331 0.00665732679 +180127.44 185.5439 185.268 0.00705124103 +184836.46 169.4505 170.7548 0.00711168053 +189565.65 154.5702 157.1638 0.00361054013 +194374.50 140.9299 144.5672 0.00229259678 +199129.44 128.5746 133.0285 0.00149833241 +203875.67 117.3709 122.4579 0.00253948814 +208681.65 106.6648 112.2401 0.00124458829 +213397.43 97.2128 103.1244 0.00305352256 +218108.45 88.4303 94.5729 0.0025551908 +222728.44 80.7563 87.0274 0.00162603813 +227344.49 73.5084 79.8306 0.00255812431 +232088.44 65.6602 71.9601 0.00203690942 +235833.49 62.613 68.8839 0.00280160668 +239003.51 60.9802 67.2281 0.00200723691 diff --git a/calib_data/calib2024-12-12_p2_c1.dat b/calib_data/calib2024-12-12_p2_c1.dat new file mode 100644 index 0000000..4da9d8f --- /dev/null +++ b/calib_data/calib2024-12-12_p2_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55422.60 18352.44 19559.92 2.43564365 +57729.41 16004.78 17099.17 1.17847783 +60223.63 13191.43 14152.44 0.75989473 +62443.48 11217.74 12063.84 0.899132916 +64663.61 9593.75 10352.94 0.953960167 +66911.62 8286.36 8961.17 0.293955779 +69183.55 7142.23 7737.95 0.152479507 +71458.44 6218.71 6747.26 0.278639552 +73762.61 5438.94 5907.31 0.153264477 +76133.59 4788.434 5205.61 0.150632002 +78573.64 4218.024 4584.175 0.0687931683 +81003.49 3749.532 4073.678 0.0799849986 +83403.62 3360.272 3648.017 0.0495186833 +85752.63 3028.052 3283.89 0.0591607978 +88063.60 2741.942 2969.225 0.0511321816 +90338.41 2490.098 2691.721 0.045966292 +92603.59 2267.026 2445.526 0.056217435 +94858.43 2069.513 2227.287 0.0960109369 +97103.54 1894.035 2032.942 0.0884058822 +99333.58 1736.712 1858.623 0.0642347258 +101600.59 1594.773 1701.633 0.0447671755 +103843.64 1468.294 1561.821 0.0240187427 +106093.49 1349.979 1431.04 0.020880613 +108343.62 1242.497 1312.545 0.0224165118 +110609.43 1145.449 1205.711 0.0106254412 +112873.65 1057.396 1109.21 0.0207846097 +115151.57 977.899 1022.369 0.023641066 +117461.58 901.615 939.414 0.020356817 +119813.67 833.507 865.694 0.0183956517 +122173.60 769.136 796.577 0.0104928547 +124571.58 711.92 735.281 0.0245132617 +127036.51 656.124 675.929 0.028193971 +129572.60 604.99 621.849 0.0180803761 +132127.41 558.304 572.728 0.0244458585 +135253.62 515.458 527.992 0.0152184099 +137979.44 474.1947 485.1383 0.00513819034 +140803.61 436.1626 445.864 0.0101577557 +143752.63 401.4114 410.157 0.00652380257 +146873.44 369.0525 377.0245 0.00449499722 +150311.58 339.1093 346.5377 0.00716665891 +154183.64 311.3659 318.3515 0.00718226984 +158210.58 285.9956 292.6572 0.00673023031 +162383.64 262.6596 269.1021 0.00756762843 +166650.58 241.0493 247.2932 0.00913652013 +171093.56 220.8672 226.9763 0.00744184117 +175623.50 202.3228 208.3106 0.00643148505 +180243.53 185.4612 191.3441 0.0116150334 +184952.62 169.3848 175.1843 0.00614174242 +189681.60 154.4987 160.2757 0.0084522778 +194490.59 140.8749 146.4846 0.00331119314 +199245.77 128.5126 134.0444 0.0029906521 +203991.64 117.3212 122.7561 0.00295787086 +208797.41 106.6193 111.9726 0.00286076913 +213513.51 97.1683 102.4407 0.00206905776 +218223.53 88.3895 93.5738 0.0027342275 +222843.60 80.7206 85.8232 0.00261839646 +227460.62 73.4737 78.4838 0.00222620754 +232203.52 65.6358 70.5188 0.00189103146 +235948.46 62.5919 67.4197 0.00293274615 +239118.43 60.9627 65.758 0.00264575131 diff --git a/calib_data/calib2024-12-12_p2_c2.dat b/calib_data/calib2024-12-12_p2_c2.dat new file mode 100644 index 0000000..696a57f --- /dev/null +++ b/calib_data/calib2024-12-12_p2_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55513.61 18357.32 20310.58 1.89988421 +57820.58 16004.25 17762.86 1.28733834 +60314.63 13191.64 14711.22 0.744150522 +62534.64 11216.22 12555.94 1.00171852 +64754.58 9593.88 10775.85 1.11456269 +67002.59 8286.59 9335 0.368239053 +69274.60 7142.83 8069.15 0.189868375 +71548.44 6219.05 7042.51 0.267001873 +73853.49 5438.8 6172.71 0.194653538 +76224.63 4788.02 5443.9 0.148996644 +78664.64 4217.843 4799.751 0.0812582304 +81093.62 3749.41 4270.321 0.0684024853 +83494.62 3360.141 3828.91 0.0644515322 +85843.63 3028.115 3450.643 0.0977348454 +88154.60 2741.876 3123.613 0.0922393625 +90428.42 2490.206 2835.21 0.0684689711 +92693.55 2266.884 2578.831 0.0756894973 +94948.43 2069.477 2352.029 0.0588294144 +97194.57 1893.901 2149.641 0.0868268392 +99423.58 1736.601 1967.928 0.0602129554 +101691.59 1594.773 1804.162 0.0835918656 +103934.68 1468.248 1658.765 0.0637377439 +106183.61 1349.991 1521.589 0.0301147804 +108434.66 1242.464 1397.551 0.0205158475 +110700.60 1145.422 1285.886 0.0226362541 +112964.48 1057.337 1184.651 0.0258244071 +115242.57 977.843 1093.528 0.0186440339 +117552.58 901.562 1006.394 0.0254243977 +119911.63 833.524 928.875 0.0157003185 +122264.48 769.152 856.015 0.0290602822 +124662.58 711.902 791.391 0.0221562632 +127127.42 656.105 728.682 0.0332505639 +129664.64 604.913 671.411 0.0254342289 +132218.41 558.22 619.281 0.0149298359 +135344.62 515.383 571.851 0.020709901 +138070.61 474.1542 526.39 0.0292232784 +140894.66 436.1517 484.3349 0.00818834538 +143843.63 401.3959 446.1694 0.0108877913 +146963.48 369.0375 410.6707 0.00717641972 +150402.62 339.05 377.9039 0.00856206751 +154274.68 311.3048 347.5943 0.00966545395 +158301.54 285.923 319.8942 0.00912447259 +162474.67 262.6014 294.4426 0.00446810922 +166741.54 240.9865 270.8357 0.00555526777 +171184.48 220.8146 248.8108 0.0060511156 +175713.49 202.2682 228.5246 0.00603025704 +180333.52 185.4121 210.0814 0.00405758549 +185043.62 169.3302 192.4279 0.00605384176 +189772.49 154.4553 176.1374 0.00946805154 +194581.63 140.83 161.145 0.0076694198 +199336.44 128.4783 147.4545 0.00403050865 +204082.63 117.2863 135.0757 0.00214965113 +208888.45 106.5908 123.2224 0.00244622158 +213603.51 97.1398 112.7214 0.00158871017 +218314.49 88.369 102.9326 0.00309257175 +222933.52 80.6982 94.3622 0.00262982889 +227551.58 73.4536 86.242 0.00235372046 +232293.49 65.6183 77.4205 0.00198116128 +236038.42 62.577 73.9842 0.00258766304 +239208.43 60.9532 72.1447 0.00259634358 diff --git a/calib_data/calib2024-12-12_p2_c4.dat b/calib_data/calib2024-12-12_p2_c4.dat new file mode 100644 index 0000000..8d9195c --- /dev/null +++ b/calib_data/calib2024-12-12_p2_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55603.61 18365.13 10742.88 1.17811714 +57911.62 16003.74 9526.6 0.585320425 +60405.63 13194.81 8030.58 0.482866441 +62625.60 11215.75 6961.74 0.710943036 +64845.77 9592.7 6065.86 0.693858775 +67093.62 8286.4 5332.19 0.290327401 +69365.75 7142.99 4678.455 0.108252021 +71638.45 6219.09 4141.513 0.0529159711 +73943.62 5439.1 3681.108 0.106158372 +76315.63 4787.738 3292.426 0.0541331691 +78755.68 4217.475 2945.396 0.0997316399 +81184.61 3749.23 2656.62 0.107582526 +83585.67 3359.951 2412.755 0.0844304447 +85934.59 3027.948 2201.882 0.066660333 +88245.65 2741.611 2018.06 0.0761051904 +90518.41 2490.063 1854.461 0.0665950449 +92783.59 2266.722 1707.676 0.0756994055 +95038.43 2069.548 1575.987 0.0153003268 +97285.73 1893.975 1458.053 0.0156236999 +99513.58 1736.622 1351.134 0.0313432608 +101782.59 1594.763 1253.881 0.0173464694 +104025.76 1468.182 1166.575 0.0144395291 +106274.49 1349.942 1083.733 0.00949210198 +108525.78 1242.331 1007.691 0.0306088223 +110791.59 1145.347 938.394 0.0244622158 +113055.73 1057.248 874.764 0.027466343 +115333.61 977.777 816.821 0.0194653538 +117643.50 901.476 760.543 0.0250619233 +120002.67 833.403 709.78 0.0266833281 +122355.69 769.072 661.35 0.0282488938 +124753.58 711.844 617.759 0.0174040225 +127223.64 656.073 574.753 0.0147003401 +129755.76 604.896 534.884 0.027971414 +132308.41 558.187 497.8463 0.0108434773 +135435.75 515.409 463.7105 0.00924689137 +138161.60 474.1199 430.4726 0.00596355599 +140985.74 436.1111 399.4041 0.0095639427 +143934.67 401.376 370.6798 0.0113831454 +147053.48 368.9892 343.6193 0.00909950548 +150493.62 338.989 318.2666 0.00610606256 +154365.80 311.2547 294.5556 0.00811935958 +158392.49 285.8532 272.6235 0.00674129068 +162565.76 262.5444 252.2742 0.00523029636 +166832.62 240.9163 233.2053 0.00738247926 +171275.75 220.7646 215.2552 0.00601464878 +175803.54 202.2233 198.5619 0.0065428587 +180423.48 185.3625 183.2763 0.0048146651 +185134.62 169.2867 168.5508 0.0090606843 +189863.52 154.4164 154.7622 0.00161121072 +194672.62 140.7857 142.0453 0.00234968083 +199427.45 128.444 130.4082 0.0041080409 +204173.51 117.2473 119.7762 0.00354344465 +208978.41 106.5624 109.5354 0.00222800359 +213694.52 97.112 100.4204 0.0030893365 +218405.66 88.3396 91.8839 0.00288600069 +223023.51 80.677 84.3707 0.0035554184 +227642.62 73.4353 77.226 0.00243721152 +232383.64 65.6019 69.4278 0.00272323337 +236128.42 62.5617 66.3824 0.00197585425 +239298.43 60.9378 64.7503 0.00162511538 diff --git a/calib_data/calib2024-12-12_p2_c5.dat b/calib_data/calib2024-12-12_p2_c5.dat new file mode 100644 index 0000000..da8e3bb --- /dev/null +++ b/calib_data/calib2024-12-12_p2_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55694.61 18367.18 23155.87 2.59653808 +58002.62 16000.33 20173.58 1.41518903 +60496.43 13189.4 16617.35 1.8650067 +62716.44 11214.77 14125.13 1.27106648 +64936.42 9590.92 12072.9 0.582237065 +67184.58 8285.79 10425.54 0.284675254 +69456.44 7142.63 8979.72 0.248112878 +71728.41 6218.89 7810.7 0.208326667 +74034.62 5438.55 6823.5 0.26 +76406.47 4787.825 6000.37 0.179471446 +78846.44 4217.022 5276.29 0.200723691 +81275.65 3749.031 4680.485 0.0779775609 +83676.43 3359.879 4186.355 0.0702032763 +86025.67 3027.907 3763.884 0.0706286061 +88336.45 2741.481 3399.861 0.0762948229 +90608.42 2489.961 3079.573 0.0589414964 +92873.59 2266.593 2795.515 0.0473761543 +95128.44 2069.449 2544.593 0.0652694415 +97376.41 1893.935 2321.373 0.074780345 +99603.58 1736.671 2121.501 0.0898493183 +101873.63 1594.696 1941.619 0.0684463293 +104116.44 1468.125 1781.943 0.0556246348 +106365.77 1349.765 1632.697 0.0980209161 +108616.46 1242.326 1496.429 0.0193106188 +110882.59 1145.304 1374.678 0.0288721319 +113146.48 1057.157 1264.561 0.0223360695 +115424.66 977.745 1165.565 0.016507574 +117733.54 901.46 1071.137 0.0225410736 +120093.51 833.336 987.131 0.0260940606 +122446.41 769.025 908.388 0.0227508242 +124844.65 711.79 838.689 0.0248777009 +127314.67 656.016 771.142 0.0122311079 +129846.44 604.872 709.652 0.016297239 +132400.57 558.157 653.639 0.0169970586 +135526.43 515.375 602.824 0.00695701085 +138252.48 474.0833 554.091 0.0222912539 +141076.50 436.0584 509.376 0.0292643127 +144025.79 401.3475 468.5072 0.00698111739 +147144.48 368.936 430.6912 0.00647888879 +150584.66 338.9483 395.7939 0.00991811474 +154456.48 311.198 363.5881 0.0084005357 +158483.62 285.7988 334.1887 0.00528403255 +162656.44 262.4798 307.2388 0.00918237442 +166923.57 240.8583 282.2605 0.00673238442 +171366.44 220.7136 259.006 0.0118220134 +175893.50 202.1751 237.6055 0.0119860335 +180513.52 185.3083 218.1887 0.00649160997 +185225.66 169.2538 199.6404 0.00969659734 +189953.53 154.3734 182.5257 0.00929306193 +194763.55 140.7457 166.804 0.00736613874 +199518.45 128.4048 152.4416 0.00227244362 +204263.51 117.2131 139.4858 0.00303907881 +209068.45 106.5314 127.0913 0.00169144908 +213785.67 97.0894 116.1209 0.00238096619 +218496.45 88.3139 105.9193 0.00216356188 +223113.52 80.6554 96.9891 0.00182455474 +227733.50 73.4181 88.5385 0.00224165118 +232474.48 65.5872 79.3748 0.00152184099 +236218.42 62.5469 75.8047 0.00175527776 +239388.44 60.9246 73.8988 0.00231430335 diff --git a/calib_data/calib2024-12-12_p2_c6.dat b/calib_data/calib2024-12-12_p2_c6.dat new file mode 100644 index 0000000..ed0e5ab --- /dev/null +++ b/calib_data/calib2024-12-12_p2_c6.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +55785.70 18369.52 10516.44 0.700171408 +58093.62 15999.62 9365.11 0.8566738 +60587.43 13186.03 7951.96 0.629952379 +62807.44 11214.63 6935.06 0.658513477 +65027.41 9591.2 6075.94 0.551035389 +67275.66 8284.58 5365.49 0.188387898 +69547.44 7142.63 4727.892 0.124874337 +71818.45 6218.37 4200.823 0.119950406 +74125.62 5438.06 3745.144 0.0954798408 +76497.43 4787.832 3358.338 0.106843811 +78937.44 4216.951 3010.086 0.0614198665 +81366.46 3748.814 2718.758 0.0928310293 +83767.42 3359.828 2472.144 0.0812551537 +86116.43 3027.767 2257.31 0.114052619 +88427.40 2741.546 2069.378 0.0646343562 +90698.41 2489.868 1901.269 0.0582142594 +92963.55 2266.325 1750.212 0.0465360076 +95218.44 2069.273 1614.493 0.0531234412 +97467.41 1893.864 1491.591 0.0301147804 +99693.57 1736.56 1380.537 0.0334678951 +101964.67 1594.826 1279.256 0.0346756399 +104207.44 1468.164 1188.291 0.0134499071 +106456.41 1349.678 1101.696 0.0188255146 +108707.42 1242.246 1022.351 0.022020445 +110974.67 1145.286 950.086 0.035810613 +113237.44 1057.126 883.891 0.0253554728 +115515.77 977.668 823.605 0.0197610728 +117823.63 901.391 765.293 0.0197509493 +120183.51 833.282 712.893 0.0214499417 +122537.40 769.013 663.047 0.0192379833 +124935.74 711.731 618.309 0.0257856549 +127405.75 655.978 574.465 0.0272121296 +129937.44 604.823 534.022 0.0241991735 +132992.59 558.076 496.5092 0.00789911387 +135617.43 515.354 462.2836 0.00535014019 +138343.48 474.0088 429.0094 0.00928353381 +141167.42 436.0072 398.052 0.0055767374 +144116.47 401.326 369.5733 0.00424040092 +147235.64 368.9 342.7668 0.00992753746 +150675.74 338.8971 317.7301 0.00348267139 +154547.44 311.1353 294.3606 0.00485015464 +158574.65 285.7478 272.8164 0.00901687307 +162747.43 262.4297 252.824 0.00615304803 +167014.66 240.8127 234.0933 0.00492757547 +171457.44 220.6594 216.4628 0.00907281654 +175983.54 202.1221 200.0724 0.00673379536 +180603.53 185.276 185.0343 0.00902225027 +185316.48 169.2147 170.5204 0.00787680138 +190044.52 154.3343 156.9406 0.00287819388 +194853.51 140.7123 144.3645 0.00169852878 +199608.45 128.3667 132.8365 0.00237170825 +204353.63 117.1828 122.2818 0.00227508242 +209159.41 106.5025 112.084 0.00234946802 +213876.44 97.0636 102.983 0.0026 +218587.42 88.2945 94.4465 0.00406509532 +223203.52 80.6376 86.9117 0.00191337398 +227823.50 73.4039 79.7328 0.00230564525 +232565.68 65.5757 71.8725 0.00155080624 +236308.42 62.5342 68.8102 0.00136235091 +239479.44 60.917 67.1615 0.00195576072 diff --git a/calib_data/calib2024-12-17_p0_c1.dat b/calib_data/calib2024-12-17_p0_c1.dat new file mode 100644 index 0000000..840dafe --- /dev/null +++ b/calib_data/calib2024-12-17_p0_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47433.63 18886.6 5849.748 3.3721669 +49573.64 17796.5 5590.888 3.56559414 +51765.61 13487.47 4557.447 0.314722259 +53657.43 11539.04 4060.208 0.0962060289 +55540.56 9908.04 3623.076 0.370286916 +57438.44 8591.71 3257.66 0.14362451 +59320.61 7479.1 2934.705 0.087843611 +61203.61 6552.69 2655.041 0.127627975 +63089.42 5774.35 2411.638 0.0464284396 +65048.44 5162.26 2213.245 0.0689818817 +66943.48 4569.718 2017.949 0.310530031 +68833.61 4069.53 1843.024 0.0876607096 +70723.62 3639.56 1688.723 0.0615962661 +72615.67 3265.365 1549.695 0.0350499643 +74517.45 2933.163 1423.195 0.0200124961 +76447.41 2638.888 1307.663 0.0287767267 +78348.42 2387.146 1206.24 0.022627417 +80248.42 2167.438 1115.304 0.0339764624 +82147.43 1972.702 1032.62 0.0388329757 +84048.36 1799.392 957.475 0.0443677811 +85943.57 1646.456 889.639 0.0251177228 +87853.62 1512.024 828.972 0.024690079 +89760.59 1386.861 771.187 0.0225410736 +91678.44 1273.576 717.924 0.0121819539 +93612.65 1171.84 669.299 0.0227354349 +95552.63 1079.527 624.486 0.0232894826 +97516.47 996.437 583.567 0.0237928561 +99478.44 916.984 543.775 0.0183439363 +101450.60 846.174 507.908 0.0255264569 +103470.61 779.67 473.6058 0.00742805493 +105520.58 720.775 443.0197 0.00928444936 +107612.63 663.715 412.9778 0.00449177025 +109740.60 611.47 385.1551 0.00820420624 +111939.41 563.716 359.4231 0.00844328135 +114215.78 520.265 335.6948 0.00721221187 +116575.79 478.2289 312.638 0.00840713982 +119049.45 439.6846 291.127 0.00885437745 +121621.57 404.4413 271.1843 0.00637502941 +124325.83 371.7457 252.4618 0.00650507494 +127250.56 341.7507 235.0714 0.00976749712 +130549.41 313.7968 218.6878 0.00730451915 +133998.44 287.9392 203.2971 0.00914270201 +137597.41 264.2343 189.0138 0.00735091831 +142717.43 242.0851 175.4737 0.0116979058 +146617.41 221.7781 162.8475 0.00622133426 +150600.59 203.0759 151.045 0.00256904652 +154650.62 186.0946 140.2008 0.00356875328 +158718.43 169.9831 129.7505 0.00243413229 +162924.54 154.8795 119.8613 0.00432677709 +167128.43 141.2112 110.7348 0.00221720545 +171330.57 128.7639 102.3089 0.00327856676 +175611.59 117.4474 94.5248 0.00436302647 +179898.41 106.731 87.054 0.00240416306 +184100.60 97.2452 80.3573 0.00331978915 +188299.41 88.4325 74.0457 0.00298345437 +192500.61 80.7001 68.4462 0.00295567251 +196627.42 73.4657 63.1351 0.00146594679 +200829.44 65.6264 57.2969 0.00342184161 +204201.61 62.5509 54.992 0.00235372046 +206975.67 60.9288 53.7648 0.0030423675 diff --git a/calib_data/calib2024-12-17_p0_c2.dat b/calib_data/calib2024-12-17_p0_c2.dat new file mode 100644 index 0000000..99ac7be --- /dev/null +++ b/calib_data/calib2024-12-17_p0_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47523.63 18885.11 22909.51 25.7287833 +49664.48 17801.79 21576.8 24.5859065 +51856.46 13486.57 16174.18 1.00596223 +53748.42 11540.22 13772.81 1.38949271 +55631.63 9902.21 11766.94 0.988959049 +57528.44 8592.22 10172.69 0.360679913 +59411.61 7479.01 8830.81 0.514674655 +61294.50 6553.36 7719.44 0.22324874 +63180.59 5775.02 6788.79 0.24349538 +65138.44 5160.5 6052.48 0.273788239 +67033.60 4569.68 5358.97 0.348439378 +68924.50 4068.892 4769.243 0.250084186 +70814.50 3639.555 4261.009 0.108521426 +72706.43 3265.218 3820.073 0.046691541 +74608.44 2933.267 3429.434 0.10140217 +76538.40 2638.622 3083.641 0.09623357 +78438.41 2387.119 2788.706 0.0680323452 +80338.42 2167.607 2531.508 0.0457121428 +82238.44 1972.629 2303.593 0.0828377933 +84138.45 1799.558 2101.342 0.0571279266 +86033.61 1646.483 1923.25 0.0714562803 +87944.51 1512.024 1767.51 0.0687749955 +89851.59 1386.814 1622.072 0.0470489107 +91768.44 1273.528 1490.168 0.0215313725 +93703.61 1171.826 1372.652 0.0237823464 +95643.62 1079.475 1266.266 0.0221449769 +97607.42 996.395 1170.761 0.0258244071 +99568.43 916.905 1079.664 0.019089264 +101541.61 846.102 998.786 0.0273203221 +103561.57 779.589 922.93 0.0241246762 +105611.54 720.727 856.021 0.025591014 +107703.51 663.661 791.272 0.0188573593 +109831.57 611.456 732.115 0.0205548048 +112030.58 563.631 678.109 0.0182455474 +114306.42 520.15 628.943 0.0238348484 +116666.43 478.1337 581.62 0.0212132034 +119140.60 439.5922 537.973 0.0210261742 +121712.62 404.3442 497.898 0.00722634071 +124416.43 371.6353 460.7365 0.00587239304 +127341.60 341.6284 426.5019 0.0084171848 +130640.58 313.668 394.5279 0.00963166652 +134088.43 287.8246 364.8136 0.00528242369 +137688.45 264.116 337.402 0.0080137382 +142808.44 241.983 311.6506 0.00721553879 +146708.42 221.6763 287.862 0.008428523 +150691.59 202.9675 265.7692 0.0116788698 +154741.58 186.0053 245.5689 0.00950836474 +158808.44 169.8919 226.1836 0.0137376854 +163015.81 154.7931 207.9615 0.00935868581 +167218.43 141.1339 191.2034 0.00763701512 +171421.58 128.6956 175.807 0.0094318609 +175702.64 117.3801 161.6579 0.00916018559 +179988.42 106.6757 148.0467 0.003379497 +184191.64 97.1928 135.929 0.00182208672 +188390.58 88.3838 124.5448 0.00361054013 +192591.63 80.6609 114.4471 0.00209499403 +196718.46 73.4316 104.8954 0.00361718122 +200920.60 65.5914 94.3951 0.00322939623 +204292.61 62.5204 90.2318 0.00352930588 +207066.42 60.9031 88.0413 0.00253791253 diff --git a/calib_data/calib2024-12-17_p0_c4.dat b/calib_data/calib2024-12-17_p0_c4.dat new file mode 100644 index 0000000..a238745 --- /dev/null +++ b/calib_data/calib2024-12-17_p0_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47614.51 18889.21 25989.78 21.6796624 +49755.68 17772.65 24265.01 9.71715442 +51947.41 13486.51 18122.24 1.69730374 +53838.42 11539.95 15382 1.16970082 +55722.63 9896.82 13093.2 1.29460419 +57618.43 8589.04 11303.07 0.520970249 +59502.49 7477.91 9788.39 0.353397793 +61385.62 6553.4 8534.9 0.359444015 +63271.63 5775.31 7490.35 0.337416656 +65228.44 5159.89 6670.17 0.461530064 +67124.49 4572.57 5896.96 0.408705273 +69015.65 4068.444 5228.48 0.358552646 +70905.66 3639.75 4663.69 0.130491379 +72797.43 3265.41 4173.228 0.140419372 +74698.44 2933.348 3740.43 0.0878862902 +76629.45 2638.596 3357.233 0.0560365952 +78528.42 2387.233 3031.187 0.0823170699 +80428.43 2167.583 2747.332 0.0531751822 +82328.44 1972.501 2496.248 0.100705511 +84228.45 1799.386 2274.058 0.0676875173 +86124.50 1646.501 2078.292 0.0630840709 +88035.82 1511.97 1907.457 0.0587545743 +89942.63 1386.802 1748.467 0.0884878523 +91858.44 1273.444 1605.076 0.0515790655 +93793.61 1171.835 1475.992 0.0165408585 +95734.50 1079.48 1360.013 0.0249419326 +97698.44 996.325 1255.955 0.0276495931 +99658.43 916.854 1156.85 0.018 +101632.60 846.044 1068.948 0.0208710326 +103652.62 779.538 986.736 0.0125857062 +105702.63 720.642 914.226 0.0186654762 +107793.63 663.558 844.163 0.0264971697 +109922.64 611.355 780.133 0.0249819935 +112121.57 563.569 721.893 0.0263837071 +114397.42 520.069 668.83 0.0196977156 +116757.43 478.0413 617.959 0.0228232338 +119231.56 439.5059 570.947 0.0209308385 +121803.61 404.2647 528.014 0.021549942 +124507.43 371.5523 487.9507 0.00661218572 +127432.64 341.5344 451.2238 0.00577546535 +130731.58 313.5687 416.9589 0.00876179205 +134178.45 287.7206 385.1719 0.0062087841 +137778.45 263.9918 355.8751 0.0128097229 +142898.44 241.8888 328.4031 0.00379591886 +146798.41 221.5846 303.0338 0.00997877748 +150782.64 202.8762 279.5063 0.00884991525 +154832.58 185.9081 257.9926 0.00491975609 +158898.44 169.8006 237.4289 0.00621039451 +163106.42 154.7132 218.0653 0.00806975836 +167308.44 141.0558 200.3186 0.0106284524 +171512.61 128.626 183.9865 0.00789461842 +175793.60 117.3178 169.0275 0.0127076748 +180079.41 106.6228 154.6503 0.00276423588 +184282.64 97.1444 141.856 0.00373095162 +188481.62 88.3426 129.8452 0.00336392628 +192682.63 80.6309 119.203 0.00241660919 +196808.41 73.3998 109.1488 0.00274517759 +201011.63 65.5603 98.0976 0.00269888866 +204383.61 62.4945 93.736 0.00235372046 +207157.42 60.8816 91.4297 0.00190814046 diff --git a/calib_data/calib2024-12-17_p0_c5.dat b/calib_data/calib2024-12-17_p0_c5.dat new file mode 100644 index 0000000..6c0a5a5 --- /dev/null +++ b/calib_data/calib2024-12-17_p0_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47705.67 18909.47 18653.85 12.8594965 +49846.48 17753.7 17600.88 11.565222 +52038.41 13488.78 13427.19 0.783511327 +53928.42 11538.4 11528.67 0.700292796 +55813.63 9895.51 9923.08 1.52235344 +57709.44 8591.28 8656.94 0.360333179 +59593.61 7477.84 7569.87 0.448564377 +61476.46 6551.44 6660.77 0.390397234 +63362.63 5774.56 5895.22 0.261074702 +65318.43 5162.64 5289.86 0.251475645 +67215.65 4577.066 4710.315 0.885515951 +69106.45 4069.049 4210.182 0.19883561 +70996.46 3639.558 3781.096 0.118778786 +72888.43 3265.617 3405.472 0.0615597271 +74788.44 2933.213 3071.316 0.0878088834 +76720.57 2638.737 2773.576 0.0863272842 +78618.41 2387.332 2518.485 0.0732427471 +80518.42 2167.604 2294.805 0.115058681 +82418.43 1972.505 2095.522 0.0667952094 +84318.44 1799.143 1918.02 0.0478121324 +86215.65 1646.366 1760.94 0.0550454358 +88126.46 1511.805 1622.974 0.0806622588 +90033.63 1386.824 1493.086 0.0316922704 +91949.44 1273.383 1375.877 0.0308236922 +93883.61 1171.742 1270.662 0.0346929388 +95825.78 1079.39 1174.98 0.0165529454 +97789.43 996.281 1088.735 0.0369932426 +99748.43 916.809 1006.267 0.0187643279 +101723.62 845.967 932.792 0.0261074702 +103743.62 779.421 863.661 0.0248374717 +105793.62 720.567 802.589 0.017461386 +107884.63 663.47 743.191 0.0197711912 +110013.48 611.204 688.792 0.0154142791 +112212.61 563.47 639.102 0.0297926165 +114488.42 519.971 593.671 0.0239770724 +116848.44 477.9628 549.923 0.0109590146 +119322.60 439.4261 509.371 0.0247971773 +121894.62 404.2006 472.0539 0.00704052555 +124598.43 371.4851 437.3693 0.00684404851 +127523.49 341.4312 405.4047 0.00721948752 +130822.58 313.4665 375.4517 0.00572721573 +134268.43 287.5983 347.5734 0.0088217912 +137868.45 263.8862 321.8511 0.009009384 +142988.44 241.7937 297.6274 0.00620193518 +146889.42 221.4861 275.221 0.00784856675 +150873.60 202.7972 254.3809 0.0105360809 +154923.62 185.8159 235.2767 0.00951320135 +158988.44 169.7113 216.9789 0.00937917907 +163197.45 154.6451 199.7343 0.01032187 +167398.43 140.9885 183.8414 0.00893106936 +171603.62 128.5614 169.2075 0.00641755405 +175883.63 117.2693 155.7153 0.00148357676 +180170.57 106.5709 142.8157 0.00316243577 +184373.48 97.1022 131.2668 0.00365732142 +188572.62 88.3034 120.3978 0.0020774985 +192773.64 80.5955 110.7656 0.0029906521 +196898.42 73.3663 101.6327 0.00223629157 +201102.64 65.534 91.5838 0.0016297239 +204474.49 62.4708 87.6076 0.00251077677 +207248.43 60.8552 85.503 0.00156843871 diff --git a/calib_data/calib2024-12-17_p1_c1.dat b/calib_data/calib2024-12-17_p1_c1.dat new file mode 100644 index 0000000..5908100 --- /dev/null +++ b/calib_data/calib2024-12-17_p1_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47821.63 18905.31 5857.544 1.44738675 +49962.64 17802.42 5597.327 6.67201814 +52153.62 13486.79 4558.764 0.329758093 +54043.63 11534.11 4060.397 0.374457074 +55929.43 9898.76 3621.737 0.175448283 +57825.64 8591.12 3257.312 0.106299577 +59709.41 7478.06 2934.332 0.0759842089 +61592.62 6552.52 2655.251 0.0842787043 +63478.43 5774.59 2411.385 0.0822100967 +65433.64 5159.35 2211.94 0.138874044 +67331.65 4576.141 2018.551 0.199912231 +69222.62 4068.796 1842.953 0.071568848 +71112.62 3638.528 1688.417 0.0794990566 +73003.64 3265.059 1549.614 0.0509745034 +74904.52 2933.193 1423.232 0.03706211 +76836.45 2638.635 1307.739 0.0228670068 +78733.61 2386.713 1206.158 0.027342275 +80633.63 2167.519 1115.262 0.0260691388 +82533.64 1972.021 1032.501 0.0322009317 +84433.49 1799.281 957.383 0.0300349796 +86331.61 1645.952 889.546 0.027971414 +88242.62 1511.715 828.841 0.0206615585 +90149.43 1386.756 771.162 0.0209666402 +92065.64 1273.338 717.877 0.0167958328 +93998.45 1171.603 669.251 0.012525973 +95941.57 1079.354 624.401 0.0191546339 +97905.83 996.19 583.431 0.016878981 +99863.64 916.625 543.645 0.0301081384 +101838.40 845.886 507.817 0.0151029798 +103859.41 779.398 473.4493 0.0105669769 +105909.42 720.523 442.8584 0.00895120104 +108000.59 663.403 412.8447 0.00988134606 +110128.44 611.129 384.9931 0.0095639427 +112328.38 563.382 359.2651 0.00899827761 +114603.63 519.91 335.5508 0.00668101789 +116963.64 477.9049 312.4854 0.00635955973 +119438.40 439.3657 290.9406 0.00845718629 +122010.58 404.1153 271.0053 0.00528024621 +124714.51 371.379 252.2807 0.00715129359 +127638.44 341.3104 234.8452 0.00860209277 +130938.42 313.3298 218.4016 0.00550309004 +134383.63 287.4508 203.0019 0.00804791899 +139355.82 262.8608 188.1711 0.00639445072 +143103.64 241.6536 175.2048 0.00933895069 +147005.82 221.3756 162.6174 0.00647950615 +150988.43 202.6891 150.7909 0.00335097001 +155039.46 185.7252 139.955 0.00280713377 +159103.63 169.6123 129.5193 0.00230672929 +163313.62 154.5522 119.6534 0.003575472 +167513.63 140.909 110.5323 0.00313384748 +171719.42 128.4899 102.1208 0.00283830936 +175999.44 117.2072 94.359 0.00129614814 +180286.42 106.5121 86.9031 0.0026474516 +184488.44 97.04 80.2138 0.00318370853 +188688.42 88.249 73.9147 0.00301678637 +192889.43 80.547 68.332 0.00225831796 +197013.58 73.3222 63.0303 0.00237086482 +201218.44 65.4987 57.1998 0.00216702561 +204590.58 62.4277 54.9045 0.00240104144 +207363.63 60.8232 53.6762 0.00143387587 diff --git a/calib_data/calib2024-12-17_p1_c2.dat b/calib_data/calib2024-12-17_p1_c2.dat new file mode 100644 index 0000000..2d502ae --- /dev/null +++ b/calib_data/calib2024-12-17_p1_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +47912.63 18938.16 22964.53 13.4357289 +50053.60 17828.73 21496.58 9.88011943 +52244.49 13482.52 16172.26 1.62149314 +54134.63 11527.53 13754.67 2.44671412 +56020.60 9903.13 11761.89 1.15667195 +57916.44 8590.24 10173.85 0.617130456 +59800.57 7480.19 8831.02 0.287680378 +61683.62 6553.73 7718.9 0.277488739 +63568.43 5774.14 6788.57 0.286024474 +65524.52 5159.81 6054.72 0.341994152 +67422.62 4570.321 5366.98 0.985575974 +69313.58 4068.347 4767.262 0.388810494 +71203.62 3639.476 4261.236 0.0968627896 +73094.51 3265.341 3819.976 0.091435223 +74995.64 2933.356 3429.5 0.0784474346 +76927.41 2638.695 3083.64 0.0756042327 +78824.50 2387.131 2788.682 0.0762994102 +80724.51 2167.558 2531.369 0.0737895657 +82624.52 1972.248 2303.126 0.0851375358 +84523.49 1799.372 2101.293 0.0480634997 +86424.74 1646.316 1923.098 0.0600632999 +88333.62 1511.778 1767.147 0.0372572141 +90240.55 1386.632 1621.891 0.04262511 +92156.49 1273.378 1490.073 0.0377107412 +94088.41 1171.622 1372.467 0.0181686543 +96032.62 1079.364 1266.102 0.0193287351 +97996.43 996.167 1170.514 0.0204058815 +99954.52 916.6 1079.408 0.0296580512 +101928.44 845.852 998.47 0.0281424946 +103950.58 779.379 922.614 0.029839571 +106000.59 720.476 855.725 0.0234627364 +108091.60 663.4 790.974 0.0267282622 +110218.44 611.111 731.848 0.0188573593 +112418.41 563.384 677.798 0.0209666402 +114694.51 519.888 628.634 0.0256593063 +117054.64 477.8447 581.32 0.0290516781 +119528.45 439.3018 537.699 0.0262087772 +122101.58 404.0561 497.5638 0.00812256117 +124805.84 371.3099 460.3636 0.00432943414 +127728.44 341.2441 426.091 0.00731436942 +131028.42 313.2557 394.0305 0.0113501101 +134474.51 287.3505 364.2875 0.00632020569 +139446.41 262.8206 335.9482 0.00574943475 +143194.48 241.5729 311.1873 0.00646072751 +147096.41 221.2978 287.4242 0.00783428363 +151078.43 202.62 265.332 0.00826680107 +155130.58 185.6569 245.1443 0.00623706662 +159194.63 169.5647 225.79 0.00910274684 +163404.50 154.4959 207.5975 0.00661551207 +167604.51 140.8476 190.8666 0.00740027027 +171810.58 128.4305 175.4797 0.0118220557 +176090.55 117.1581 161.3785 0.0104826046 +180377.42 106.4685 147.7919 0.00280873637 +184578.44 97.006 135.6877 0.00187643279 +188778.41 88.2175 124.3247 0.00338540987 +192980.60 80.5221 114.2606 0.00209380037 +197104.62 73.3044 104.7176 0.00229434086 +201308.44 65.4726 94.2297 0.00221833271 +204681.62 62.4126 90.084 0.00183847763 +207454.62 60.8025 87.8947 0.00288461436 diff --git a/calib_data/calib2024-12-17_p1_c4.dat b/calib_data/calib2024-12-17_p1_c4.dat new file mode 100644 index 0000000..f6d60c7 --- /dev/null +++ b/calib_data/calib2024-12-17_p1_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48003.63 18932.16 25949.2 17.2598378 +50144.54 17815.22 24284.66 27.6849389 +52335.74 13477.38 18101.39 1.0739134 +54225.74 11530.13 15379.76 2.15165982 +56111.64 9903.27 13104.79 0.626649822 +58007.45 8591.29 11304.66 0.472482804 +59891.57 7480.92 9786.44 0.296040538 +61774.50 6553.73 8533.17 0.226296266 +63659.43 5774.6 7489.47 0.309531905 +65615.69 5159.97 6669.03 0.35806424 +67513.61 4571.275 5890.51 0.974315144 +69403.62 4067.556 5228.7 0.466261729 +71294.50 3639.675 4663.758 0.133849169 +73185.64 3265.342 4173.188 0.114112225 +75086.45 2933.206 3740.007 0.0983976626 +77018.41 2638.853 3356.966 0.0769441356 +78915.66 2387.074 3031.213 0.115974566 +80815.64 2167.457 2747.416 0.0429697568 +82715.76 1972.352 2496.199 0.0746116613 +84613.60 1799.154 2273.846 0.121071879 +86515.82 1646.278 2078.513 0.0676912107 +88424.50 1511.813 1907.408 0.0589542195 +90331.59 1386.614 1748.412 0.0928202564 +92247.45 1273.394 1604.914 0.127422133 +94178.41 1171.68 1475.832 0.028135387 +96123.62 1079.387 1359.83 0.0284253408 +98087.43 996.168 1255.765 0.0273221522 +100045.80 916.679 1156.624 0.0304039471 +102018.41 845.84 1068.75 0.0116619038 +104041.57 779.268 986.43 0.0235796522 +106091.58 720.399 913.957 0.0126530629 +108182.64 663.343 843.911 0.0233002146 +110308.44 611.066 779.926 0.0185580171 +112508.42 563.312 721.584 0.0212696968 +114785.82 519.802 668.574 0.026540535 +117145.63 477.7962 617.588 0.0273788239 +119619.44 439.2596 570.695 0.0269536639 +122192.62 403.9916 527.724 0.0157607106 +124896.49 371.265 487.5968 0.00833522645 +127818.45 341.1823 450.8283 0.00839172211 +131118.42 313.1744 416.492 0.0063387696 +134565.64 287.2828 384.6534 0.00722938448 +139537.42 262.8025 354.4029 0.00348267139 +143285.76 241.4959 327.9281 0.00862258662 +147187.41 221.2296 302.5983 0.00514402566 +151168.43 202.5444 279.0859 0.00550536102 +155221.57 185.5803 257.5842 0.00608078942 +159285.79 169.4862 237.0173 0.00962086275 +163495.79 154.433 217.7263 0.00854757275 +167695.80 140.7908 199.9602 0.0116067222 +171901.58 128.3795 183.6674 0.0115811916 +176181.63 117.1122 168.7551 0.0096679367 +180468.42 106.431 154.3923 0.00327429382 +184668.43 96.9711 141.6129 0.00285464534 +188868.42 88.1893 129.6269 0.00396093423 +193071.64 80.4975 119.0246 0.00242981481 +197195.77 73.2852 108.9732 0.00180443897 +201398.44 65.4501 97.9437 0.0022318154 +204772.61 62.3975 93.5901 0.00317316876 +207545.67 60.7844 91.2913 0.00309208667 diff --git a/calib_data/calib2024-12-17_p1_c5.dat b/calib_data/calib2024-12-17_p1_c5.dat new file mode 100644 index 0000000..045506c --- /dev/null +++ b/calib_data/calib2024-12-17_p1_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48093.63 18883.87 18700.95 14.9274127 +50235.80 17816.12 17642.15 14.7762867 +52426.46 13477.53 13418.53 0.879323604 +54316.47 11533.82 11528.02 1.24441151 +56202.64 9902.65 9935.55 0.793252797 +58098.45 8593.31 8657.15 0.289223097 +59982.61 7480.01 7569.73 0.165559657 +61865.66 6553.17 6660.54 0.146424042 +63750.59 5774.91 5894.99 0.20902153 +65706.48 5160.81 5290.55 0.271385335 +67603.61 4572.975 4707.244 0.47700566 +69494.49 4068.396 4209.835 0.160656466 +71385.79 3639.759 3780.933 0.183450538 +73276.48 3265.336 3405.493 0.089555011 +75177.44 2933.038 3071.531 0.0546342383 +77108.41 2638.836 2773.623 0.0910939076 +79006.42 2387.144 2518.609 0.0730267074 +80906.47 2167.475 2294.703 0.0620330557 +82806.44 1972.381 2095.404 0.0564127645 +84704.49 1799.187 1917.906 0.0351055551 +86606.46 1646.14 1760.959 0.0773621354 +88515.79 1511.723 1622.879 0.0233430932 +90422.63 1386.697 1493.062 0.0204352636 +92338.45 1273.307 1375.846 0.0208901891 +94268.45 1171.691 1270.58 0.0347562944 +96214.57 1079.315 1174.841 0.0181906569 +98178.43 996.116 1088.632 0.0275245345 +100136.47 916.657 1006.102 0.0242816803 +102108.40 845.845 932.634 0.0268029849 +104132.62 779.204 863.476 0.019089264 +106182.63 720.364 802.38 0.020880613 +108274.51 663.273 743.06 0.0313687743 +110399.44 611.059 688.652 0.0234008547 +112598.41 563.257 638.9 0.0239582971 +114876.43 519.763 593.484 0.0206009709 +117236.47 477.7527 549.662 0.0391612053 +119710.57 439.234 509.159 0.0280160668 +122283.62 403.9518 471.8069 0.0059757008 +124987.44 371.2318 437.1229 0.00669096406 +127909.45 341.121 405.0787 0.00618231348 +131208.42 313.1015 375.0617 0.00651774501 +134656.48 287.2211 347.1677 0.0115187239 +139628.42 262.7805 320.6286 0.00493396392 +143376.48 241.4284 297.2712 0.00465360076 +147278.41 221.1613 274.8687 0.00672168134 +151258.44 202.4817 254.0395 0.00766191882 +155312.62 185.5196 234.9551 0.00680066173 +159376.43 169.4042 216.6402 0.00956221732 +163586.45 154.3756 199.4294 0.00953645636 +167786.52 140.7406 183.5436 0.00986934648 +171992.62 128.3298 168.9434 0.00670253683 +176272.64 117.0716 155.4782 0.00343453054 +180558.42 106.3915 142.5964 0.00334125725 +184758.44 96.9332 131.0597 0.00181135309 +188958.42 88.1559 120.2205 0.00224610774 +193162.64 80.4682 110.6146 0.00228560714 +197286.46 73.258 101.485 0.00228910463 +201488.44 65.4288 91.4506 0.00201593651 +204863.61 62.379 87.4904 0.00320374781 +207636.47 60.7667 85.3895 0.00291976026 diff --git a/calib_data/calib2024-12-17_p2_c1.dat b/calib_data/calib2024-12-17_p2_c1.dat new file mode 100644 index 0000000..58d2732 --- /dev/null +++ b/calib_data/calib2024-12-17_p2_c1.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48209.43 18902.39 5841.376 2.25094478 +50351.65 17809.99 5586.499 1.28805237 +52542.61 13473.88 4554.519 0.26669252 +54432.63 11530.78 4056.584 0.26090688 +56318.43 9902.02 3621.042 0.301220185 +58213.61 8592.14 3257.243 0.0919679292 +60098.42 7477.08 2934.277 0.080000625 +61981.63 6552.31 2655.031 0.0831558777 +63866.43 5773.72 2411.441 0.0766217985 +65822.60 5160.41 2212.606 0.145589835 +67719.45 4569.17 2016.768 0.152307584 +69610.58 4068.237 1842.066 0.110952242 +71501.62 3639.64 1688.685 0.0697746372 +73392.63 3265.067 1549.607 0.0537596503 +75293.64 2933.195 1423.127 0.0219111844 +77223.49 2638.82 1307.622 0.0207267943 +79122.62 2387.063 1206.226 0.030665942 +81022.59 2167.307 1115.291 0.0378007936 +82922.63 1972.333 1032.483 0.0251017928 +84820.57 1798.852 957.33 0.0286705424 +86722.62 1646.179 889.501 0.0202212759 +88631.58 1511.77 828.851 0.0172887246 +90538.43 1386.639 771.08 0.0253771551 +92453.49 1273.374 717.901 0.016878981 +94383.49 1171.611 669.27 0.0140712473 +96330.58 1079.235 624.381 0.027944588 +98293.54 996.087 583.336 0.0276839304 +100252.63 916.577 543.611 0.0339543812 +102223.49 845.761 507.675 0.0187749834 +104248.41 779.176 473.3741 0.0066504887 +106298.42 720.335 442.7799 0.00974315144 +108390.60 663.184 412.7309 0.00955662074 +110515.81 610.987 384.8925 0.0103094617 +112713.62 563.283 359.1507 0.00829463682 +114992.62 519.758 335.44 0.00759473502 +117352.63 477.6915 312.3489 0.00755175476 +119826.49 439.1854 290.818 0.00849117189 +122399.43 403.9123 270.8881 0.00471900413 +125103.47 371.1613 252.1349 0.00801554739 +128025.65 341.0373 234.6689 0.00543957719 +131323.62 313.0008 218.2078 0.00727296363 +134772.64 287.099 202.7997 0.0062706459 +139743.62 262.7173 188.095 0.00671863081 +143492.64 241.342 174.9884 0.00893106936 +147393.61 221.0648 162.4003 0.00907860121 +151373.60 202.4125 150.6054 0.00289205809 +155428.42 185.4455 139.784 0.00188148877 +159492.64 169.3346 129.3372 0.00265631323 +163702.61 154.3168 119.4874 0.00340646444 +167902.61 140.6768 110.3767 0.00289499568 +172108.46 128.2711 101.9731 0.00196188685 +176388.44 117.0275 94.2365 0.00246272207 +180673.57 106.342 86.7852 0.00280285569 +184873.64 96.8941 80.1025 0.00288530761 +189073.62 88.115 73.8206 0.00263134946 +193278.44 80.4345 68.2521 0.00213752193 +197402.58 73.2256 62.9513 0.00172655727 +201603.60 65.3927 57.1256 0.00183956517 +204979.42 62.3536 54.84 0.00191833261 +207752.63 60.7398 53.6197 0.00210736803 diff --git a/calib_data/calib2024-12-17_p2_c2.dat b/calib_data/calib2024-12-17_p2_c2.dat new file mode 100644 index 0000000..47c6581 --- /dev/null +++ b/calib_data/calib2024-12-17_p2_c2.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48300.60 18937.37 23016.55 16.5498112 +50442.48 17792.05 21578.4 23.6747418 +52633.62 13478.59 16161 2.45393561 +54523.62 11530.48 13760.19 1.22257515 +56408.44 9902.06 11756.61 0.651682438 +58304.52 8593.06 10173.98 0.371967741 +60188.41 7478.03 8830.39 0.29238673 +62072.62 6552.45 7717.82 0.392377369 +63957.43 5774.64 6787.86 0.438223687 +65913.48 5160.06 6055.31 0.396598033 +67810.57 4571.206 5362.99 1.01207213 +69701.62 4068.595 4767.906 0.459460989 +71592.64 3639.197 4261.091 0.0953776703 +73483.63 3265.245 3819.75 0.125347517 +75384.53 2933.231 3429.537 0.0714569801 +77313.62 2638.652 3083.652 0.0651889561 +79213.62 2387.13 2788.649 0.0725596306 +81113.63 2167.306 2531.502 0.0632898096 +83014.48 1972.408 2303.354 0.0737455083 +84911.61 1799.217 2101.325 0.117117462 +86813.61 1646.312 1923.006 0.0647796264 +88722.62 1511.711 1767.064 0.0634854314 +90628.43 1386.598 1621.912 0.0670492356 +92543.61 1273.417 1490.024 0.0182318403 +94474.49 1171.588 1372.463 0.0337653669 +96421.58 1079.263 1266.057 0.0307912325 +98384.51 996.094 1170.434 0.0249078301 +100343.48 916.585 1079.316 0.02691468 +102313.57 845.756 998.405 0.0245051015 +104338.42 779.209 922.498 0.0218082553 +106388.43 720.334 855.614 0.0163217646 +108481.59 663.173 790.867 0.024333105 +110606.40 611.009 731.569 0.023641066 +112804.49 563.229 677.602 0.0244867311 +115083.63 519.707 628.471 0.0237255137 +117443.64 477.649 581.132 0.0284534708 +119917.41 439.1386 537.49 0.0282842712 +122490.58 403.8908 497.3511 0.00589822007 +125193.59 371.1179 460.115 0.00835583628 +128116.44 340.9855 425.7916 0.00729547805 +131414.51 312.944 393.705 0.00681322244 +134863.64 287.0416 363.9118 0.00693945243 +139833.62 262.7002 335.796 0.00691953756 +143583.48 241.2864 310.8516 0.00526535849 +147484.50 221.0072 287.0778 0.00634318532 +151464.51 202.3514 265.0174 0.00967904954 +155518.42 185.4039 244.8179 0.005862508 +159583.64 169.2863 225.4772 0.00688302259 +163793.63 154.2684 207.3272 0.00974248428 +167993.64 140.6279 190.5973 0.00795870592 +172198.42 128.2247 175.2456 0.00832970588 +176478.44 116.9898 161.1574 0.0088466943 +180763.62 106.3145 147.59 0.00354682957 +184964.48 96.8647 135.5047 0.00192379833 +189164.62 88.0893 124.1654 0.00231170932 +193368.45 80.4145 114.1217 0.00311464284 +197493.62 73.2048 104.5913 0.00222283603 +201694.64 65.3799 94.1081 0.0020709901 +205070.58 62.3361 89.9835 0.00211778186 +207843.51 60.7293 87.8011 0.00240187427 diff --git a/calib_data/calib2024-12-17_p2_c4.dat b/calib_data/calib2024-12-17_p2_c4.dat new file mode 100644 index 0000000..c0c6df6 --- /dev/null +++ b/calib_data/calib2024-12-17_p2_c4.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48391.63 19027.42 25980.61 23.2064493 +50533.61 17754.93 24220.21 11.5475231 +52724.50 13477.1 18122.39 1.53267413 +54614.51 11533.86 15378.35 2.70832974 +56498.44 9904.34 13112.61 0.915254063 +58395.65 8592.63 11304.82 0.354344465 +60278.42 7477.62 9788.25 0.351639019 +62163.62 6552.8 8532.72 0.386471215 +64048.43 5775.08 7490.09 0.422953898 +66004.52 5162.27 6671.75 0.291633331 +67901.61 4571.811 5896.02 0.71704951 +69792.62 4068.149 5229.18 0.267507009 +71683.62 3639.436 4664.203 0.0786136121 +73574.52 3264.949 4172.923 0.050814368 +75475.64 2933.241 3740.034 0.0487483333 +77404.49 2638.496 3357.01 0.0607782856 +79304.50 2386.876 3031.05 0.0704840407 +81204.63 2167.379 2747.215 0.0850088231 +83105.68 1972.646 2496.174 0.03516248 +85002.61 1799.28 2274.112 0.0743881711 +86904.50 1646.331 2078.302 0.0645569516 +88813.63 1511.742 1907.311 0.0459227612 +90718.43 1386.664 1748.388 0.0946762906 +92634.49 1273.355 1604.85 0.0596824932 +94565.81 1171.606 1475.782 0.0361054013 +96512.62 1079.309 1359.868 0.0313623979 +98475.83 996.131 1255.674 0.0236304888 +100433.63 916.631 1156.536 0.0206494552 +102404.48 845.75 1068.595 0.0143701079 +104428.42 779.158 986.352 0.0211565593 +106478.43 720.287 913.84 0.0224053565 +108572.64 663.178 843.766 0.0181769084 +110697.44 610.919 779.741 0.0191023559 +112895.81 563.149 721.419 0.0200224874 +115174.50 519.682 668.329 0.0156492811 +117534.52 477.6281 617.378 0.0250119971 +120008.41 439.0924 570.425 0.0351923287 +122581.58 403.862 527.524 0.030665942 +125284.64 371.0867 487.3705 0.00742866071 +128207.41 340.9646 450.5415 0.00678269858 +131505.79 312.8974 416.1514 0.00586037541 +134954.52 286.9853 384.2944 0.00663053542 +139923.62 262.6956 354.2421 0.00777232269 +143673.48 241.2451 327.6014 0.00580379186 +147575.82 220.9577 302.2521 0.00657183384 +151555.64 202.2791 278.752 0.00863249674 +155608.42 185.3463 257.2643 0.00642658541 +159674.52 169.2268 236.6847 0.00810561534 +163883.62 154.2231 217.4353 0.00564809702 +168084.51 140.5815 199.7069 0.012391489 +172288.42 128.1893 183.4307 0.00779236806 +176569.44 116.955 168.5338 0.00798348295 +180854.58 106.2816 154.1906 0.00225033331 +185055.80 96.8372 141.4317 0.00211683726 +189255.66 88.0699 129.4662 0.00261074702 +193458.44 80.3963 118.8863 0.0016065491 +197584.61 73.1919 108.8425 0.00173349358 +201785.68 65.3637 97.8253 0.00245377261 +205161.62 62.3205 93.4966 0.00353327044 +207933.63 60.7164 91.1969 0.00126055543 diff --git a/calib_data/calib2024-12-17_p2_c5.dat b/calib_data/calib2024-12-17_p2_c5.dat new file mode 100644 index 0000000..52b1303 --- /dev/null +++ b/calib_data/calib2024-12-17_p2_c5.dat @@ -0,0 +1,62 @@ +#zdat (zcalib by M.Zolliker 2018) +#time since midnight, R ref, R meas, sigma, Tset(nominal) +48482.63 18979.94 18698.13 12.7764318 +50624.49 17758.22 17626.37 16.11701 +52815.66 13475.68 13415.34 0.761078183 +54705.66 11540.79 11529.39 0.609663842 +56588.43 9902 9930.26 0.3228622 +58486.45 8591.66 8656.05 0.301081384 +60368.41 7479.12 7569.88 0.354626564 +62254.51 6552.61 6659.79 0.356216226 +64138.43 5774.2 5895.4 0.320936131 +66095.64 5162.25 5290.91 0.229543024 +67992.61 4572.552 4713.249 0.754597177 +69883.58 4066.937 4207.407 0.314385273 +71774.51 3639.712 3781.555 0.202673383 +73665.68 3264.64 3405.275 0.0915887548 +75566.45 2933.221 3071.282 0.0975991803 +77495.65 2638.451 2773.562 0.0811270608 +79395.67 2386.979 2518.396 0.0645476568 +81295.63 2167.366 2294.747 0.0961670422 +83196.48 1972.417 2095.58 0.0394968353 +85093.61 1799.116 1917.866 0.0634854314 +86995.78 1646.249 1760.797 0.0859307861 +88904.51 1511.748 1622.759 0.0853399086 +90808.43 1386.706 1492.995 0.0228144691 +92725.65 1273.316 1375.771 0.0156492811 +94656.45 1171.601 1270.5 0.0272763634 +96603.62 1079.307 1174.802 0.0203371581 +98566.47 996.137 1088.597 0.0190814046 +100524.51 916.614 1006.092 0.0205815451 +102495.80 845.74 932.517 0.0200524313 +104518.46 779.14 863.446 0.0241743666 +106568.43 720.269 802.281 0.013960659 +108663.60 663.194 742.918 0.0238243573 +110788.45 610.851 688.501 0.0171143215 +112986.41 563.15 638.745 0.0200624026 +115265.79 519.637 593.253 0.0184418003 +117625.84 477.5923 549.487 0.0254578082 +120098.45 439.0587 508.986 0.019193749 +122672.62 403.8172 471.646 0.0103295692 +125375.83 371.0449 436.9228 0.00697538529 +128298.45 340.9194 404.8391 0.00983509024 +131596.43 312.8316 374.7935 0.0077772103 +135045.84 286.9262 346.8612 0.00783428363 +140014.50 262.6685 320.504 0.0059126982 +143763.48 241.2011 296.9816 0.00709112121 +147666.46 220.9175 274.584 0.00475394573 +151646.44 202.2353 253.7553 0.00690659105 +155698.42 185.2959 234.6953 0.00516536543 +159765.64 169.1812 216.371 0.00628808397 +163973.61 154.1817 199.1664 0.00819292378 +168175.64 140.5395 183.3262 0.00747903737 +172378.42 128.1539 168.748 0.00872467764 +176660.60 116.9232 155.2945 0.00245865817 +180945.66 106.2489 142.4253 0.00320327957 +185146.44 96.8114 130.9027 0.00253001976 +189346.46 88.0485 120.0767 0.00207870152 +193548.44 80.3763 110.4926 0.00315023809 +197675.66 73.1754 101.3761 0.00150632002 +201876.45 65.3477 91.3434 0.00302059597 +205252.62 62.307 87.3994 0.00167451486 +208024.63 60.7072 85.311 0.00166132477 diff --git a/calib_data/calib_2024-12-06.txt b/calib_data/calib_2024-12-06.txt new file mode 100644 index 0000000..e6d73c8 --- /dev/null +++ b/calib_data/calib_2024-12-06.txt @@ -0,0 +1,887 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 18736.18 25480.67 26.8026232 1.62 +2 18715.13 17977.81 10.142864 1.62 +4 18742.71 12637.2 7.83224106 1.62 +5 18760.93 22892.35 25.3596619 1.62 +6 18774.43 19870.37 12.2503963 1.62 +1 18756.78 25568.95 31.7237427 1.62 +2 18727.07 17925.19 5.9200076 1.62 +4 18689.17 12649.98 8.01015356 1.62 +5 18693.9 22929.38 12.836914 1.62 +6 18726.79 19839.99 16.9760976 1.62 +1 1525.868 1786.369 0.100194311 10.00 +2 1524.838 1469.515 0.0476707457 10.00 +4 1523.875 1213.462 0.0507700699 10.00 +5 1522.903 1851.737 0.0452559388 10.00 +6 1521.933 1719.351 0.0578869588 10.00 +1 13556.51 18154.65 1.55719299 1.78 +2 13551.29 13082.95 1.32606561 1.78 +4 13548.22 9439.96 1.32251276 1.78 +5 13544.37 16461.91 0.932893349 1.78 +6 13537.79 14380.83 0.988539326 1.78 +1 13534.1 18122.15 3.78827797 1.78 +2 13529.18 13063.1 0.976012295 1.78 +4 13518.97 9421.98 0.546772348 1.78 +5 13515.21 16433.85 1.45087904 1.78 +6 13511.9 14349.67 0.695133081 1.78 +1 13504.26 18089.98 2.6090918 1.78 +2 13500.53 13037.23 1.22629931 1.78 +4 13493.74 9407.98 0.924099562 1.78 +5 13486.27 16394.25 1.87201763 1.78 +6 13480.66 14319.19 1.7778892 1.78 +1 11257.92 14958.37 1.64079554 1.95 +2 11250.7 10908.58 0.810407305 1.95 +4 11245.48 7970.49 0.545426439 1.95 +5 11239.69 13628.84 0.64283746 1.95 +6 11233.59 11976.28 0.932502011 1.95 +1 11229.08 14918.19 1.78372924 1.95 +2 11222.05 10886.7 0.784984076 1.95 +4 11216.62 7951.59 0.560080351 1.95 +5 11212.26 13596.45 0.823680763 1.95 +6 11206.16 11946.25 0.632653144 1.95 +1 11198.9 14880.05 1.26919266 1.95 +2 11194.76 10860.3 1.02381639 1.95 +4 11191.5 7934.76 0.552304264 1.95 +5 11188.02 13568.83 0.85510818 1.95 +6 11183.14 11923.11 0.691295885 1.95 +1 9484.38 12504.09 1.7455343 2.14 +2 9480.88 9224.12 0.515519156 2.14 +4 9476.49 6817.53 0.538525765 2.14 +5 9473.03 11469.54 1.11491704 2.14 +6 9470.51 10129.64 0.716407705 2.14 +1 9462.91 12474.21 1.45316551 2.14 +2 9459.28 9204.99 0.510578104 2.14 +4 9456.5 6803.89 0.524490229 2.14 +5 9452.64 11442.96 0.742051211 2.14 +6 9448.35 10109.65 0.672346637 2.14 +1 9443.97 12448.96 1.94237998 2.14 +2 9439.58 9187.28 0.411533717 2.14 +4 9436.2 6792.67 0.367437069 2.14 +5 9433.64 11419.3 0.508527285 2.14 +6 9430.21 10092.72 0.737672014 2.14 +1 8066.23 10545.95 2.26888739 2.34 +2 8062.74 7867.97 0.616124987 2.34 +4 8059.87 5877.21 0.412662089 2.34 +5 8057.37 9741.11 0.431381502 2.34 +6 8055.01 8649.11 0.409743822 2.34 +1 8053.45 10532.67 1.61108969 2.34 +2 8053.15 7860.54 0.287471738 2.34 +4 8050.52 5873.13 0.331677554 2.34 +5 8048.7 9732.41 0.323867257 2.34 +6 8047.15 8644.15 0.511517351 2.34 +1 8045.22 10516.72 2.37127814 2.34 +2 8043.56 7850.64 0.558068096 2.34 +4 8040.49 5865 0.442944692 2.34 +5 8038.54 9718.17 0.459575891 2.34 +6 8037.32 8632.7 0.754055701 2.34 +1 6860.92 8898.62 3.63765859 2.57 +2 6859.35 6710.68 0.364910948 2.57 +4 6857.62 5066.63 0.316559631 2.57 +5 6856.24 8283.06 0.52956586 2.57 +6 6855.67 7392.54 0.400549622 2.57 +1 6855.38 8890.97 1.2987725 2.57 +2 6853.95 6705.83 0.538897022 2.57 +4 6852.79 5063.99 0.342476277 2.57 +5 6851.09 8276.29 0.403100484 2.57 +6 6849.52 7385.96 0.537810376 2.57 +1 6848.3 8880.77 0.67335726 2.57 +2 6847.34 6699.41 0.419392418 2.57 +4 6846.16 5058.73 0.488477226 2.57 +5 6845.5 8267.94 0.421710801 2.57 +6 6844.79 7379.55 0.434798804 2.57 +1 5908.44 7605.77 0.861748223 2.82 +2 5907.29 5790.81 0.310950157 2.82 +4 5907.18 4411.876 0.203731195 2.82 +5 5906.73 7131.22 0.353779592 2.82 +6 5905.56 6392.72 0.274881793 2.82 +1 5903.83 7595.98 0.743747269 2.82 +2 5903.48 5786.11 0.295110149 2.82 +4 5902.83 4409.36 0.209437341 2.82 +5 5902.42 7125.21 0.185175592 2.82 +6 5902.58 6388.43 0.213096222 2.82 +1 5901.73 7592.15 2.80614504 2.82 +2 5900.75 5783.01 0.388702971 2.82 +4 5899.81 4407.263 0.196122666 2.82 +5 5899.08 7122.2 0.461735855 2.82 +6 5899.13 6385.43 0.537038174 2.82 +1 5176.63 6611.22 1.55549349 3.09 +2 5176.03 5078.04 0.1877232 3.09 +4 5175.36 3902.14 0.0998398718 3.09 +5 5174.78 6245.74 0.268402683 3.09 +6 5174.02 5621.33 0.251813423 3.09 +1 5173.57 6605.92 2.82459909 3.09 +2 5172.97 5075.06 0.196061215 3.09 +4 5172.56 3900.708 0.115730722 3.09 +5 5172.33 6242.82 0.233152311 3.09 +6 5172.03 5619.7 0.222710575 3.09 +1 5171.9 6604.7 0.546626015 3.09 +2 5171.57 5073.45 0.271753565 3.09 +4 5171.46 3899.808 0.114217337 3.09 +5 5170.81 6241.27 0.201022387 3.09 +6 5170.51 5617.86 0.29906521 3.09 +1 4252.251 5377.106 0.320000625 3.38 +2 4254.844 4186.791 0.220469726 3.38 +4 4257.326 3254.407 0.133244512 3.38 +5 4259.7 5142.087 0.251916851 3.38 +6 4262.153 4656.984 0.197525695 3.38 +1 4264.948 5393.424 0.256246756 3.38 +2 4266.54 4197.724 0.227416798 3.38 +4 4268.443 3262.23 0.147023808 3.38 +5 4270.623 5155.289 0.291298644 3.38 +6 4272.694 4668.276 0.134567455 3.38 +1 4275.113 5408.357 0.505236677 3.38 +2 4277.59 4208.436 0.115639094 3.38 +4 4279.466 3269.974 0.131462542 3.38 +5 4281.823 5168.841 0.273146298 3.38 +6 4284.228 4680.639 0.151614313 3.38 +1 3866.932 4858.837 0.516906278 3.71 +2 3867.33 3802.68 0.0969948452 3.71 +4 3867.688 2973.148 0.0748438374 3.71 +5 3868.311 4670.465 0.0668917035 3.71 +6 3869.077 4240.126 0.08003999 3.71 +1 3870.035 4863.336 0.437571023 3.71 +2 3870.587 3805.57 0.0866833317 3.71 +4 3870.989 2975.458 0.0726057849 3.71 +5 3871.736 4674.46 0.134959253 3.71 +6 3872.439 4243.423 0.0786898977 3.71 +1 3873.155 4867.514 0.230318041 3.71 +2 3873.791 3808.641 0.0572791411 3.71 +4 3874.397 2977.889 0.0870339014 3.71 +5 3875.231 4678.52 0.0749266308 3.71 +6 3876.047 4247.419 0.0931713475 3.71 +1 3503.256 4372.911 0.197638306 4.07 +2 3503.283 3441.593 0.0619846755 4.07 +4 3503.332 2707.689 0.0790246797 4.07 +5 3503.43 4231.293 0.0446329475 4.07 +6 3503.587 3850.817 0.0684112564 4.07 +1 3503.795 4374.201 0.148185357 4.07 +2 3503.966 3442.32 0.0943716059 4.07 +4 3504.14 2708.205 0.0734744854 4.07 +5 3504.557 4232.495 0.0543000921 4.07 +6 3504.78 3852.047 0.0505183135 4.07 +1 3504.802 4375.344 0.14703877 4.07 +2 3504.906 3443.349 0.0810117275 4.07 +4 3505.164 2708.881 0.0765826351 4.07 +5 3505.443 4233.725 0.100451481 4.07 +6 3505.819 3853.236 0.0672041665 4.07 +1 3177.796 3939.663 0.688334294 4.46 +2 3177.364 3118.092 0.0556740514 4.46 +4 3177.165 2467.765 0.0470372193 4.46 +5 3177.104 3838.392 0.108423245 4.46 +6 3176.964 3502.344 0.081316665 4.46 +1 3176.565 3938.975 0.126777364 4.46 +2 3176.583 3117.544 0.0716826339 4.46 +4 3176.572 2467.263 0.0514985437 4.46 +5 3176.449 3837.96 0.0673349835 4.46 +6 3176.456 3502.148 0.0526839634 4.46 +1 3176.563 3938.62 0.13303383 4.46 +2 3176.483 3117.285 0.0702602306 4.46 +4 3176.367 2467.23 0.070639932 4.46 +5 3176.481 3837.769 0.102950959 4.46 +6 3176.744 3502 0.103797881 4.46 +1 2887.321 3555.976 0.523994656 4.89 +2 2886.956 2829.461 0.0540823446 4.89 +4 2886.648 2252.305 0.0846197377 4.89 +5 2886.422 3489.049 0.0593877092 4.89 +6 2886.347 3191.708 0.0864615521 4.89 +1 2886.001 3554.253 0.346185066 4.89 +2 2885.825 2828.505 0.087923262 4.89 +4 2885.749 2251.722 0.0664198765 4.89 +5 2885.691 3488.099 0.0665349532 4.89 +6 2885.396 3191.038 0.0862994786 4.89 +1 2885.492 3553.332 0.67339112 4.89 +2 2885.412 2827.988 0.0741458023 4.89 +4 2885.264 2251.291 0.106409116 4.89 +5 2885.232 3487.449 0.102298094 4.89 +6 2885.15 3190.344 0.0833930453 4.89 +1 2628.482 3215.129 0.181148834 5.36 +2 2628.059 2572.075 0.0911070799 5.36 +4 2627.675 2058.745 0.105425329 5.36 +5 2627.478 3177.862 0.0764957515 5.36 +6 2627.275 2913.868 0.108791544 5.36 +1 2626.946 3213.012 0.170415962 5.36 +2 2626.711 2570.453 0.0900894 5.36 +4 2626.522 2057.878 0.0650046152 5.36 +5 2626.493 3176.62 0.0369323706 5.36 +6 2626.488 2912.873 0.0411594461 5.36 +1 2626.377 3211.951 0.4219276 5.36 +2 2626.177 2569.807 0.0653306972 5.36 +4 2625.906 2057.176 0.0588081627 5.36 +5 2625.736 3175.658 0.0774054262 5.36 +6 2625.609 2912.131 0.0578869588 5.36 +1 2399.263 2914.656 0.0772683635 5.88 +2 2398.907 2343.351 0.0406804621 5.88 +4 2398.585 1885.746 0.0726663609 5.88 +5 2398.275 2902.251 0.0787203913 5.88 +6 2398.024 2667.459 0.0598907338 5.88 +1 2397.681 2912.81 0.145079289 5.88 +2 2397.537 2342.244 0.0554111902 5.88 +4 2397.323 1885.001 0.0610647198 5.88 +5 2397.229 2901.219 0.0855505698 5.88 +6 2397.274 2666.475 0.0574673821 5.88 +1 2396.888 2911.338 0.236278649 5.88 +2 2396.806 2341.269 0.0780954544 5.88 +4 2396.641 1884.384 0.0654400489 5.88 +5 2396.415 2900.313 0.0542411283 5.88 +6 2396.32 2665.706 0.0564127645 5.88 +1 2194.897 2648.008 0.253999213 6.45 +2 2194.381 2139.584 0.0376085097 6.45 +4 2194.11 1730.526 0.0783989796 6.45 +5 2193.976 2656.81 0.0451884941 6.45 +6 2193.699 2447.147 0.0900560936 6.45 +1 2193.285 2646.061 0.289013667 6.45 +2 2193.058 2138.439 0.0671930056 6.45 +4 2192.833 1729.667 0.09587544 6.45 +5 2192.731 2655.389 0.0593034569 6.45 +6 2192.62 2446.049 0.0577659069 6.45 +1 2192.556 2644.987 0.47391993 6.45 +2 2192.382 2137.687 0.0705839925 6.45 +4 2192.169 1729.222 0.0554400577 6.45 +5 2192.014 2654.608 0.0557458519 6.45 +6 2191.865 2445.343 0.0668887135 6.45 +1 2013.557 2412.834 0.13939297 7.07 +2 2013.183 1958.899 0.0865384308 7.07 +4 2012.936 1592.054 0.0667712513 7.07 +5 2012.773 2439.549 0.0987972672 7.07 +6 2012.508 2251.489 0.0571393035 7.07 +1 2012.343 2411.16 0.0839761871 7.07 +2 2012.342 1957.886 0.0502633067 7.07 +4 2012.145 1591.678 0.120944615 7.07 +5 2011.807 2438.48 0.0644670458 7.07 +6 2011.717 2250.834 0.0702595189 7.07 +1 2011.649 2410.311 0.150648266 7.07 +2 2011.603 1957.215 0.0631070519 7.07 +4 2011.637 1591.233 0.05184689 7.07 +5 2011.509 2437.733 0.0599007512 7.07 +6 2011.217 2250.22 0.0781152994 7.07 +1 1849.628 2201.007 0.101951459 7.75 +2 1849.134 1795.234 0.0806994424 7.75 +4 1848.834 1465.514 0.0344441577 7.75 +5 1848.662 2242.407 0.0810438153 7.75 +6 1848.437 2073.769 0.0907022602 7.75 +1 1848.181 2199.458 0.113311959 7.75 +2 1847.998 1794.183 0.0682795723 7.75 +4 1847.983 1464.684 0.0273934299 7.75 +5 1847.845 2241.393 0.0578973229 7.75 +6 1847.594 2073.03 0.0895767827 7.75 +1 1847.476 2198.38 0.0468828327 7.75 +2 1847.469 1793.41 0.0694694177 7.75 +4 1847.401 1464.251 0.0377743299 7.75 +5 1847.23 2240.68 0.0643428318 7.75 +6 1847.012 2072.37 0.0876013699 7.75 +1 1698.803 2007.726 0.123249341 8.50 +2 1698.494 1645.225 0.0619233397 8.50 +4 1698.432 1349.185 0.0263153947 8.50 +5 1698.216 2061.818 0.055942828 8.50 +6 1697.912 1910.593 0.0855809558 8.50 +1 1697.759 2006.121 0.14239698 8.50 +2 1697.521 1644.073 0.0681182795 8.50 +4 1697.413 1348.343 0.034235946 8.50 +5 1697.231 2060.771 0.077607345 8.50 +6 1697.059 1909.776 0.0838594062 8.50 +1 1696.829 2005.268 0.0905295532 8.50 +2 1696.831 1643.417 0.0734853727 8.50 +4 1697.03 1347.957 0.0342943144 8.50 +5 1696.896 2060.146 0.0603191512 8.50 +6 1696.584 1909.175 0.0642066975 8.50 +1 1563.438 1835.643 0.168932235 9.32 +2 1563.172 1510.363 0.0230239006 9.32 +4 1562.981 1244.426 0.0195550505 9.32 +5 1562.75 1900.358 0.112336993 9.32 +6 1562.554 1764.271 0.0754380541 9.32 +1 1562.359 1834.489 0.136267751 9.32 +2 1562.24 1509.501 0.0202706685 9.32 +4 1562.138 1243.749 0.0262469046 9.32 +5 1562.007 1899.679 0.070886529 9.32 +6 1561.876 1763.522 0.0818022005 9.32 +1 1561.777 1833.652 0.109597445 9.32 +2 1561.737 1508.926 0.024503061 9.32 +4 1561.698 1243.432 0.0194319325 9.32 +5 1561.562 1898.985 0.0906449116 9.32 +6 1561.415 1763.074 0.0534265851 9.32 +1 1442.144 1681.816 0.146247735 10.20 +2 1441.909 1389.714 0.022680388 10.20 +4 1441.798 1149.83 0.0164316767 10.20 +5 1441.517 1755.081 0.08553888 10.20 +6 1441.304 1632.385 0.0813418711 10.20 +1 1441.095 1680.34 0.12886427 10.20 +2 1441.064 1388.921 0.0213752193 10.20 +4 1440.998 1149.241 0.0388960152 10.20 +5 1440.842 1754.257 0.105243052 10.20 +6 1440.736 1631.76 0.0675425792 10.20 +1 1440.589 1679.939 0.0798805358 10.20 +2 1440.609 1388.543 0.0136418474 10.20 +4 1440.532 1148.898 0.0284534708 10.20 +5 1440.382 1753.856 0.0909857132 10.20 +6 1440.336 1631.385 0.0972959403 10.20 +1 1330.501 1540.124 0.0268774999 11.20 +2 1330.282 1278.735 0.0227705951 11.20 +4 1330.084 1062.4 0.0317175031 11.20 +5 1329.933 1621.594 0.0491975609 11.20 +6 1329.872 1510.226 0.0335320742 11.20 +1 1329.684 1539.141 0.0246758992 11.20 +2 1329.579 1278.116 0.0234606053 11.20 +4 1329.488 1061.908 0.0308155805 11.20 +5 1329.337 1620.924 0.0396534992 11.20 +6 1329.247 1509.629 0.0331496606 11.20 +1 1329.173 1538.574 0.025385035 11.20 +2 1329.073 1277.636 0.0331722776 11.20 +4 1329.027 1061.567 0.0231969826 11.20 +5 1328.946 1620.298 0.0627502988 11.20 +6 1328.941 1509.187 0.0295313393 11.20 +1 1227.822 1411.616 0.0296378137 12.30 +2 1227.624 1176.983 0.0254184972 12.30 +4 1227.488 981.774 0.0141562707 12.30 +5 1227.388 1498.331 0.0134499071 12.30 +6 1227.285 1398.287 0.0203002463 12.30 +1 1227.065 1410.802 0.0234435492 12.30 +2 1226.995 1176.35 0.0186010752 12.30 +4 1226.912 981.302 0.0242816803 12.30 +5 1226.79 1497.657 0.015036622 12.30 +6 1226.743 1397.779 0.0203199409 12.30 +1 1226.502 1410.203 0.0442052033 12.30 +2 1226.499 1175.956 0.0305352256 12.30 +4 1226.459 980.99 0.0202484567 12.30 +5 1226.425 1497.124 0.0209857094 12.30 +6 1226.362 1397.381 0.0369716107 12.30 +1 1134.152 1295.394 0.0429930227 13.50 +2 1133.934 1084.323 0.0218197159 13.50 +4 1133.795 908.035 0.0258166613 13.50 +5 1133.708 1386.637 0.0298680431 13.50 +6 1133.588 1296.089 0.0151294415 13.50 +1 1133.412 1294.408 0.0384135393 13.50 +2 1133.315 1083.641 0.0294771098 13.50 +4 1133.195 907.549 0.0271827151 13.50 +5 1133.159 1385.855 0.0263533679 13.50 +6 1133.105 1295.589 0.0340132327 13.50 +1 1132.884 1293.858 0.0390845238 13.50 +2 1132.814 1083.305 0.024989998 13.50 +4 1132.795 907.32 0.0235796522 13.50 +5 1132.743 1385.441 0.0213752193 13.50 +6 1132.728 1295.14 0.0270554985 13.50 +1 1048.552 1189.787 0.0580870037 14.80 +2 1048.386 999.943 0.0304318912 14.80 +4 1048.21 840.583 0.0203002463 14.80 +5 1048.059 1284.649 0.014862705 14.80 +6 1047.948 1202.659 0.018732325 14.80 +1 1047.801 1188.89 0.0414004831 14.80 +2 1047.733 999.273 0.0157511904 14.80 +4 1047.66 840.063 0.0199022612 14.80 +5 1047.545 1283.936 0.026122787 14.80 +6 1047.471 1202.034 0.0282913414 14.80 +1 1047.256 1188.323 0.027204779 14.80 +2 1047.257 998.851 0.0202212759 14.80 +4 1047.213 839.785 0.0304384625 14.80 +5 1047.149 1283.485 0.0227266364 14.80 +6 1047.068 1201.68 0.0124096736 14.80 +1 970.845 1094.734 0.0349342239 16.20 +2 970.681 923.514 0.0206009709 16.20 +4 970.49 779.238 0.0178213355 16.20 +5 970.341 1192.184 0.0281140534 16.20 +6 970.219 1117.716 0.0281496004 16.20 +1 970.113 1093.842 0.0238243573 16.20 +2 969.997 922.977 0.0228495077 16.20 +4 969.85 778.76 0.0213072758 16.20 +5 969.809 1191.517 0.0192898937 16.20 +6 969.785 1117.224 0.0149130815 16.20 +1 969.636 1093.241 0.029847948 16.20 +2 969.561 922.526 0.0234606053 16.20 +4 969.485 778.425 0.0271016605 16.20 +5 969.426 1191.107 0.0189235303 16.20 +6 969.396 1116.867 0.0264215821 16.20 +1 895.962 1003.979 0.0376417322 17.80 +2 895.807 850.32 0.0212132034 17.80 +4 895.688 720.145 0.0197610728 17.80 +5 895.547 1103.422 0.016358484 17.80 +6 895.429 1036.085 0.0156364958 17.80 +1 895.321 1003.124 0.0268402683 17.80 +2 895.214 849.775 0.0247082982 17.80 +4 895.11 719.69 0.0164924225 17.80 +5 895.026 1102.811 0.0203690942 17.80 +6 894.97 1035.542 0.0194319325 17.80 +1 894.871 1002.571 0.0259788375 17.80 +2 894.75 849.395 0.0280446073 17.80 +4 894.66 719.403 0.0256924113 17.80 +5 894.684 1102.401 0.0136711375 17.80 +6 894.653 1035.197 0.0209785605 17.80 +1 829.023 923.428 0.0398697881 19.50 +2 828.863 785.037 0.0219567757 19.50 +4 828.74 667.245 0.0233345238 19.50 +5 828.599 1024.062 0.0226185764 19.50 +6 828.463 962.974 0.0235881326 19.50 +1 828.356 922.639 0.0281229444 19.50 +2 828.273 784.507 0.0158145503 19.50 +4 828.187 666.815 0.0143701079 19.50 +5 828.123 1023.49 0.0228473193 19.50 +6 828.086 962.486 0.0209857094 19.50 +1 827.933 922.187 0.0287419554 19.50 +2 827.879 784.114 0.0321309819 19.50 +4 827.798 666.59 0.0121655251 19.50 +5 827.783 1023.124 0.0206494552 19.50 +6 827.748 962.116 0.0228997817 19.50 +1 765.61 847.837 0.0202509259 21.40 +2 765.473 723.532 0.0237402612 21.40 +4 765.319 617.219 0.0302473139 21.40 +5 765.233 949.096 0.0204058815 21.40 +6 765.139 893.746 0.0173320512 21.40 +1 764.942 847.142 0.0193287351 21.40 +2 764.842 723.041 0.0193106188 21.40 +4 764.789 616.77 0.0205912603 21.40 +5 764.743 948.549 0.0213752193 21.40 +6 764.692 893.235 0.0220113607 21.40 +1 764.589 846.636 0.019089264 21.40 +2 764.516 722.667 0.0192898937 21.40 +4 764.436 616.528 0.020774985 21.40 +5 764.38 948.17 0.0196468827 21.40 +6 764.387 892.923 0.0191337398 21.40 +1 709.027 781.078 0.0153492671 23.40 +2 708.918 668.918 0.026487733 23.40 +4 708.78 572.632 0.0266758318 23.40 +5 708.665 882.335 0.0237170825 23.40 +6 708.618 831.912 0.0189631221 23.40 +1 708.394 780.446 0.0343278313 23.40 +2 708.333 668.451 0.0203690942 23.40 +4 708.247 572.149 0.0187856328 23.40 +5 708.208 881.813 0.0201022387 23.40 +6 708.182 831.455 0.0115108644 23.40 +1 708.052 779.958 0.0288374756 23.40 +2 707.992 668.149 0.0262087772 23.40 +4 707.967 571.993 0.0125737822 23.40 +5 707.971 881.468 0.0234008547 23.40 +6 707.946 831.144 0.0183412104 23.40 +1 653.948 716.58 0.0286006993 25.70 +2 653.87 616.027 0.0282152441 25.70 +4 653.775 529.193 0.0213096222 25.70 +5 653.651 817.336 0.0228560714 25.70 +6 653.566 771.735 0.0335037311 25.70 +1 653.402 715.985 0.0344456093 25.70 +2 653.333 615.497 0.0189235303 25.70 +4 653.265 528.754 0.0168641632 25.70 +5 653.194 816.882 0.0120664825 25.70 +6 653.112 771.251 0.0318574952 25.70 +1 652.997 715.514 0.0259306768 25.70 +2 652.951 615.184 0.0260844781 25.70 +4 652.88 528.525 0.0191963538 25.70 +5 652.827 816.521 0.0179136819 25.70 +6 652.79 770.911 0.0333601559 25.70 +1 603.307 657.856 0.0255812431 28.20 +2 603.169 567.535 0.0225055549 28.20 +4 603.1 489.0903 0.00612217282 28.20 +5 603.033 757.693 0.0317190794 28.20 +6 602.906 716.207 0.0163737595 28.20 +1 602.751 657.279 0.0162757488 28.20 +2 602.679 567.067 0.0196494275 28.20 +4 602.635 488.7419 0.0109658105 28.20 +5 602.589 757.178 0.0348941256 28.20 +6 602.534 715.789 0.0294431656 28.20 +1 602.384 656.879 0.0238516247 28.20 +2 602.329 566.787 0.0259634358 28.20 +4 602.344 488.51 0.0146615142 28.20 +5 602.327 756.822 0.0219453868 28.20 +6 602.256 715.466 0.0253061257 28.20 +1 556.86 604.436 0.0218265893 30.90 +2 556.783 523.344 0.0224588513 30.90 +4 556.749 452.5382 0.00797094725 30.90 +5 556.665 702.968 0.0232723011 30.90 +6 556.549 665.293 0.0218654979 30.90 +1 556.36 603.949 0.0256300605 30.90 +2 556.303 522.94 0.0142828569 30.90 +4 556.33 452.2297 0.00837143954 30.90 +5 556.303 702.531 0.0271827151 30.90 +6 556.163 664.91 0.0203469899 30.90 +1 556.039 603.616 0.0282559728 30.90 +2 555.99 522.637 0.0279660508 30.90 +4 556.034 451.9911 0.00995334115 30.90 +5 556.012 702.221 0.0233858932 30.90 +6 555.879 664.621 0.0221110832 30.90 +1 514.441 556.19 0.0253771551 33.80 +2 514.347 482.977 0.00806473806 33.80 +4 514.323 419.16 0.0109918151 33.80 +5 514.241 652.978 0.0153492671 33.80 +6 514.141 618.735 0.0196086716 33.80 +1 513.934 555.693 0.0374446258 33.80 +2 513.942 482.6301 0.00836594286 33.80 +4 513.96 418.8604 0.0071612848 33.80 +5 513.884 652.541 0.0213752193 33.80 +6 513.81 618.348 0.0226627448 33.80 +1 513.718 555.319 0.0245947149 33.80 +2 513.69 482.3778 0.0111200719 33.80 +4 513.674 418.6712 0.00823626129 33.80 +5 513.623 652.229 0.0275481397 33.80 +6 513.578 618.074 0.0107888832 33.80 +1 473.4636 510.01 0.0404722127 37.10 +2 473.3657 444.4136 0.00888841943 37.10 +4 473.2793 387.0005 0.00578143581 37.10 +5 473.187 604.75 0.0264575131 37.10 +6 473.1165 573.67 0.0225831796 37.10 +1 473.0189 509.549 0.027765086 37.10 +2 472.9517 444.0535 0.0083297659 37.10 +4 472.8996 386.7109 0.00451984513 37.10 +5 472.8449 604.325 0.0229455878 37.10 +6 472.7804 573.347 0.0189235303 37.10 +1 472.7162 509.183 0.034235946 37.10 +2 472.6813 443.8211 0.00497483668 37.10 +4 472.6361 386.4945 0.00509165985 37.10 +5 472.5798 603.978 0.03706211 37.10 +6 472.5417 573.065 0.0201121854 37.10 +1 435.6499 467.4362 0.012415152 40.70 +2 435.5351 408.7998 0.00477660968 40.70 +4 435.4378 357.1941 0.00887068205 40.70 +5 435.3451 559.952 0.0285937056 40.70 +6 435.249 531.813 0.0251017928 40.70 +1 435.1384 466.8569 0.00951782538 40.70 +2 435.055 408.3669 0.00606704211 40.70 +4 435.0102 356.8578 0.00623345811 40.70 +5 434.9492 559.523 0.0294635368 40.70 +6 434.9041 531.48 0.0165529454 40.70 +1 434.8821 466.6225 0.00563959218 40.70 +2 434.8452 408.1987 0.0060762653 40.70 +4 434.8206 356.7131 0.00849523396 40.70 +5 434.7835 559.291 0.0302803567 40.70 +6 434.7474 531.258 0.0212508823 40.70 +1 401.2786 429.1596 0.00534265851 44.60 +2 401.1904 376.5587 0.00982756328 44.60 +4 401.0999 330.134 0.00778203058 44.60 +5 401.0082 519.169 0.0241847059 44.60 +6 400.9512 493.5208 0.00645879246 44.60 +1 400.869 428.7224 0.00781050575 44.60 +2 400.8261 376.2553 0.00783077263 44.60 +4 400.7581 329.8648 0.00622382519 44.60 +5 400.7111 518.847 0.018976301 44.60 +6 400.6713 493.2003 0.00797878437 44.60 +1 400.6105 428.4284 0.00730780405 44.60 +2 400.5505 375.9903 0.00513039959 44.60 +4 400.4965 329.6634 0.00709957745 44.60 +5 400.4592 518.563 0.0186574382 44.60 +6 400.4457 492.945 0.00879659025 44.60 +1 369.1071 393.5674 0.00766054828 48.90 +2 369.0009 346.4728 0.00835918656 48.90 +4 368.9008 304.7553 0.00801130451 48.90 +5 368.8216 480.7213 0.00812902208 48.90 +6 368.7649 457.5843 0.00692249955 48.90 +1 368.6767 393.0887 0.0069829077 48.90 +2 368.5985 346.117 0.00787400787 48.90 +4 368.5235 304.4685 0.00638631349 48.90 +5 368.4827 480.3379 0.00808263571 48.90 +6 368.268 456.8633 0.0794129775 48.90 +1 367.9592 392.394 0.0727305988 48.90 +2 367.9455 345.5963 0.0524017271 48.90 +4 367.9015 304.0167 0.0462489027 48.90 +5 367.8716 479.6998 0.0700276802 48.90 +6 367.8655 456.5886 0.010477786 48.90 +1 339.341 360.8182 0.0104266965 53.60 +2 339.2181 318.7114 0.00912491096 53.60 +4 339.0965 281.1962 0.00913980306 53.60 +5 338.993 445.1031 0.00737760124 53.60 +6 338.9068 424.1066 0.0100649888 53.60 +1 338.7747 360.2184 0.00814518263 53.60 +2 338.7104 318.2467 0.00778466441 53.60 +4 338.637 280.8457 0.00595994966 53.60 +5 338.5614 444.5965 0.00692423281 53.60 +6 338.5146 423.661 0.00572712843 53.60 +1 338.4427 359.8347 0.00988539326 53.60 +2 338.3854 317.9631 0.00882094099 53.60 +4 338.3397 280.6148 0.00965069946 53.60 +5 338.2964 444.265 0.00504579032 53.60 +6 338.265 423.3827 0.0120897064 53.60 +1 311.6814 330.565 0.00887580982 58.80 +2 311.5515 292.9386 0.00803517268 58.80 +4 311.416 259.3117 0.0114804617 58.80 +5 311.2982 411.8716 0.00798398397 58.80 +6 311.2059 392.862 0.0100309521 58.80 +1 311.0848 329.9241 0.00637251913 58.80 +2 310.9942 292.4497 0.00311464284 58.80 +4 310.9065 258.9103 0.0101882776 58.80 +5 310.8336 411.2931 0.00942385272 58.80 +6 310.7762 392.3424 0.00909417396 58.80 +1 310.6855 329.4805 0.00616319722 58.80 +2 310.6317 292.1072 0.00882133777 58.80 +4 310.5567 258.6339 0.0086907422 58.80 +5 310.4995 410.9223 0.00737570336 58.80 +6 310.4663 391.9963 0.00657426802 58.80 +1 286.3559 302.9877 0.00452117241 64.50 +2 286.2333 269.3518 0.0067864571 64.50 +4 286.096 239.238 0.00986610359 64.50 +5 285.985 381.3051 0.00430917626 64.50 +6 285.887 364.0683 0.00595659299 64.50 +1 285.7669 302.3623 0.00795493557 64.50 +2 285.6849 268.8784 0.00637683307 64.50 +4 285.6025 238.8301 0.00915035518 64.50 +5 285.5196 380.7509 0.00675640437 64.50 +6 285.453 363.592 0.00761183289 64.50 +1 285.3618 301.929 0.0064591021 64.50 +2 285.2874 268.5482 0.00722744768 64.50 +4 285.2308 238.5515 0.00982776679 64.50 +5 285.1992 380.3627 0.00721255849 64.50 +6 285.1454 363.2376 0.00640343658 64.50 +1 263.1666 277.8586 0.0134923682 70.70 +2 263.0482 247.8155 0.00775145148 70.70 +4 262.9278 220.8111 0.00798304453 70.70 +5 262.8193 353.1814 0.00881725581 70.70 +6 262.7132 337.5644 0.0105519666 70.70 +1 262.5865 277.2456 0.00745010067 70.70 +2 262.5207 247.3338 0.00954442246 70.70 +4 262.4386 220.4061 0.00901493206 70.70 +5 262.3572 352.5988 0.00728258196 70.70 +6 262.2858 337.063 0.00760131568 70.70 +1 262.2106 276.8027 0.00590093213 70.70 +2 262.135 247.0052 0.00810283901 70.70 +4 262.0745 220.1269 0.00449099098 70.70 +5 262.0291 352.2129 0.00538600037 70.70 +6 261.9736 336.7056 0.00824645378 70.70 +1 241.5362 254.5173 0.00953734764 77.50 +2 241.4241 227.7234 0.00576055553 77.50 +4 241.3219 203.5753 0.00494378398 77.50 +5 241.2312 326.7774 0.00836444858 77.50 +6 241.1301 312.6372 0.00937208621 77.50 +1 241.021 253.9547 0.00716526343 77.50 +2 240.9299 227.2654 0.00538739269 77.50 +4 240.8454 203.2018 0.00671088668 77.50 +5 240.7763 326.2411 0.0083215984 77.50 +6 240.7249 312.1605 0.00357840747 77.50 +1 240.6378 253.5383 0.00542411283 77.50 +2 240.5715 226.9669 0.00704904249 77.50 +4 240.5153 202.9289 0.00935355547 77.50 +5 240.4677 325.8579 0.00732454777 77.50 +6 240.4183 311.8406 0.00795260963 77.50 +1 221.4569 232.9131 0.00376948272 85.00 +2 221.3445 209.0715 0.00904350596 85.00 +4 221.2372 187.5008 0.0159679679 85.00 +5 221.1535 302.0725 0.00840148796 85.00 +6 221.0715 289.2886 0.00825372643 85.00 +1 220.9567 232.3854 0.00663656538 85.00 +2 220.8862 208.6443 0.00843925352 85.00 +4 220.8042 187.1542 0.00562281069 85.00 +5 220.7367 301.5359 0.00693750676 85.00 +6 220.6877 288.8332 0.00840571234 85.00 +1 220.6038 232.0054 0.00496225755 85.00 +2 220.5513 208.3492 0.00591066832 85.00 +4 220.5 186.8991 0.00863649234 85.00 +5 220.4545 301.1851 0.00596900327 85.00 +6 220.4104 288.5086 0.00678851972 85.00 +1 202.9574 213.0911 0.00798179178 93.20 +2 202.867 191.8778 0.00596623835 93.20 +4 202.7679 172.6496 0.00576229121 93.20 +5 202.6806 279.0878 0.00721637028 93.20 +6 202.5875 267.5764 0.00837997613 93.20 +1 202.4679 212.5735 0.0055031809 93.20 +2 202.402 191.4747 0.00399512203 93.20 +4 202.3265 172.3173 0.00649006934 93.20 +5 202.2657 278.6013 0.00874991429 93.20 +6 202.206 267.1285 0.00608974548 93.20 +1 202.1383 212.2074 0.00462644572 93.20 +2 202.0885 191.1903 0.00655293827 93.20 +4 202.0258 172.047 0.00734982993 93.20 +5 201.9761 278.2389 0.00434614772 93.20 +6 201.9501 266.8114 0.00656384034 93.20 +1 186.0784 195.0241 0.00987466455 102.00 +2 185.9759 176.1868 0.00757733462 102.00 +4 185.8848 159.0414 0.0102099951 102.00 +5 185.8135 257.9817 0.00810561534 102.00 +6 185.7392 247.5587 0.00397756207 102.00 +1 185.6455 194.5704 0.00667113184 102.00 +2 185.569 175.8257 0.00670082085 102.00 +4 185.5211 158.6835 0.00497041246 102.00 +5 185.4754 257.5236 0.00753418874 102.00 +6 185.4105 247.1531 0.00881073209 102.00 +1 185.3248 194.231 0.00765506368 102.00 +2 185.2795 175.5492 0.00616895453 102.00 +4 185.252 158.4607 0.00198015151 102.00 +5 185.2084 257.1889 0.00731771822 102.00 +6 185.1475 246.8663 0.00688774274 102.00 +1 169.991 177.8883 0.00838933847 112.00 +2 169.9051 161.2264 0.00602528008 112.00 +4 169.828 145.982 0.00285306852 112.00 +5 169.7533 237.6388 0.00658604585 112.00 +6 169.6828 228.3079 0.00392542991 112.00 +1 169.5966 177.4665 0.00674277391 112.00 +2 169.5207 160.8849 0.0041435492 112.00 +4 169.4747 145.6997 0.00159405144 112.00 +5 169.424 237.241 0.00577234788 112.00 +6 169.3554 227.9276 0.00640343658 112.00 +1 169.3092 177.1596 0.00724458418 112.00 +2 169.2513 160.6382 0.00440408901 112.00 +4 169.2167 145.4815 0.00160156174 112.00 +5 169.1819 236.9191 0.00906912344 112.00 +6 169.1403 227.6223 0.00890847911 112.00 +1 155.04 162.0794 0.0119934982 123.00 +2 154.9644 147.3248 0.0035519009 123.00 +4 154.8972 133.8827 0.00313703682 123.00 +5 154.8271 218.6672 0.0117582312 123.00 +6 154.7567 210.2582 0.0100864265 123.00 +1 154.676 161.6957 0.00930811474 123.00 +2 154.6204 147.0132 0.00216702561 123.00 +4 154.5768 133.6165 0.00200124961 123.00 +5 154.5214 218.2648 0.00975479369 123.00 +6 154.4655 209.9036 0.00957726475 123.00 +1 154.4076 161.4105 0.00719061889 123.00 +2 154.3689 146.7793 0.00318449368 123.00 +4 154.3288 133.4245 0.00286443712 123.00 +5 154.282 217.981 0.00823650411 123.00 +6 154.2423 209.643 0.0112222992 123.00 +1 141.491 147.6501 0.00449544214 135.00 +2 141.4155 134.687 0.00444297198 135.00 +4 141.3345 122.8061 0.00289637705 135.00 +5 141.2644 201.1675 0.00876726867 135.00 +6 141.1979 193.6212 0.0110098138 135.00 +1 141.1258 147.276 0.00298328678 135.00 +2 141.074 134.3805 0.0032534597 135.00 +4 141.017 122.5514 0.0024049948 135.00 +5 140.9681 200.787 0.0156198592 135.00 +6 140.9175 193.2727 0.00609762249 135.00 +1 140.8664 147.0005 0.00228582589 135.00 +2 140.8305 134.1576 0.00159499216 135.00 +4 140.7894 122.3611 0.00302142351 135.00 +5 140.7471 200.485 0.0106808239 135.00 +6 140.7059 193.0114 0.00755804207 135.00 +1 129.0281 134.4957 0.00335276006 148.00 +2 128.9628 123.0933 0.00375246586 148.00 +4 128.9012 112.6125 0.00319452657 148.00 +5 128.8389 184.9413 0.00879551022 148.00 +6 128.7767 178.1963 0.00982858077 148.00 +1 128.7207 134.1687 0.00304647337 148.00 +2 128.6715 122.8121 0.00269981481 148.00 +4 128.6244 112.3801 0.00208062491 148.00 +5 128.5782 184.5914 0.0121442991 148.00 +6 128.5316 177.8882 0.00790037974 148.00 +1 128.4866 133.9218 0.00362436201 148.00 +2 128.448 122.6229 0.0029814426 148.00 +4 128.4135 112.2113 0.00284270997 148.00 +5 128.3782 184.3399 0.00835158668 148.00 +6 128.3436 177.6548 0.0082277579 148.00 +1 117.8197 122.69 0.00375765885 162.00 +2 117.7589 112.6376 0.003575472 162.00 +4 117.698 103.3875 0.00436634859 162.00 +5 117.6355 170.1572 0.00805208048 162.00 +6 117.5808 164.1005 0.010710042 162.00 +1 117.5294 122.3888 0.00309127805 162.00 +2 117.4874 112.3793 0.00340602408 162.00 +4 117.4409 103.177 0.00294278779 162.00 +5 117.3941 169.8466 0.00904897784 162.00 +6 117.351 163.8318 0.00804213902 162.00 +1 117.3126 122.1592 0.00240333102 162.00 +2 117.2808 112.1975 0.00210831686 162.00 +4 117.2494 103.0191 0.00324175878 162.00 +5 117.2146 169.6018 0.00703676062 162.00 +6 117.179 163.5939 0.00439420072 162.00 +1 107.067 111.4004 0.00313113398 178.00 +2 107.0115 102.6068 0.00324592052 178.00 +4 106.9601 94.5155 0.0032596012 178.00 +5 106.9113 155.7818 0.00240748832 178.00 +6 106.8676 150.4059 0.00210926527 178.00 +1 106.8098 111.1327 0.00397504717 178.00 +2 106.7714 102.3805 0.00241764348 178.00 +4 106.7285 94.3265 0.00290602822 178.00 +5 106.6911 155.497 0.00202977831 178.00 +6 106.6594 150.1442 0.00170762994 178.00 +1 106.6189 110.9337 0.00330771825 178.00 +2 106.5909 102.2186 0.00231170932 178.00 +4 106.561 94.1868 0.00296580512 178.00 +5 106.5327 155.289 0.00269814751 178.00 +6 106.512 149.9523 0.00309854805 178.00 +1 97.5694 101.4599 0.00339838197 195.00 +2 97.5144 93.7452 0.00271587923 195.00 +4 97.4685 86.6478 0.00274153242 195.00 +5 97.4316 142.9908 0.00298596718 195.00 +6 97.3932 138.1922 0.00182098874 195.00 +1 97.3353 101.2193 0.00308885092 195.00 +2 97.2996 93.5377 0.0023876767 195.00 +4 97.2653 86.4741 0.00217002304 195.00 +5 97.2356 142.7253 0.0022318154 195.00 +6 97.2048 137.9584 0.00363373087 195.00 +1 97.1621 101.0341 0.00309983871 195.00 +2 97.1349 93.3959 0.00272194783 195.00 +4 97.1129 86.3561 0.0022246348 195.00 +5 97.0938 142.5332 0.00210618138 195.00 +6 97.0719 137.7846 0.00261992366 195.00 +1 88.7547 92.2667 0.00451009978 214.00 +2 88.7146 85.5212 0.00293189359 214.00 +4 88.6701 79.3293 0.0031434058 214.00 +5 88.6349 130.9847 0.00211683726 214.00 +6 88.603 126.7266 0.00262373779 214.00 +1 88.5501 92.049 0.00283901391 214.00 +2 88.5197 85.3407 0.00249018072 214.00 +4 88.4862 79.1752 0.00184282392 214.00 +5 88.4591 130.7547 0.0029293344 214.00 +6 88.4393 126.5156 0.00291273068 214.00 +1 88.3983 91.8912 0.00253298243 214.00 +2 88.3763 85.2134 0.00281851024 214.00 +4 88.3529 79.0652 0.00209666402 214.00 +5 88.334 130.5863 0.00249419326 214.00 +6 88.3197 126.364 0.00232808935 214.00 +1 81.057 84.2508 0.0033430525 234.00 +2 81.0166 78.3254 0.00228122774 234.00 +4 80.9774 72.9141 0.00209976189 234.00 +5 80.9458 120.3762 0.0015861904 234.00 +6 80.9127 116.5816 0.00274299107 234.00 +1 80.8704 84.0584 0.00336214217 234.00 +2 80.8431 78.167 0.00172046505 234.00 +4 80.8148 72.7727 0.00253791253 234.00 +5 80.7902 120.169 0.00226715681 234.00 +6 80.7708 116.3904 0.00229434086 234.00 +1 80.7367 83.9203 0.00286373881 234.00 +2 80.7138 78.0529 0.00197205477 234.00 +4 80.6983 72.6738 0.00258766304 234.00 +5 80.6851 120.0129 0.00253160028 234.00 +6 80.6663 116.2478 0.00203371581 234.00 +1 73.7603 76.679 0.00343511281 257.00 +2 73.7239 71.5129 0.00244724335 257.00 +4 73.6894 66.8128 0.00216702561 257.00 +5 73.6595 110.2108 0.0024240462 257.00 +6 73.6307 106.8482 0.00172510869 257.00 +1 73.5938 76.5072 0.00257992248 257.00 +2 73.5673 71.3773 0.0018976301 257.00 +4 73.5433 66.6903 0.00329863608 257.00 +5 73.5221 110.0244 0.00277200289 257.00 +6 73.5038 106.6842 0.00220816666 257.00 +1 73.483 76.3943 0.00299349294 257.00 +2 73.4658 71.2783 0.0013118689 257.00 +4 73.4493 66.6047 0.00214032708 257.00 +5 73.434 109.8898 0.00147512711 257.00 +6 73.4169 106.5546 0.00355021126 257.00 +1 65.8953 68.5408 0.00144775689 288.00 +2 65.8586 64.1745 0.0035503521 288.00 +4 65.8272 60.2178 0.00271955879 288.00 +5 65.804 99.1084 0.0025502941 288.00 +6 65.778 96.2101 0.00219294323 288.00 +1 65.7434 68.3878 0.00306202547 288.00 +2 65.7225 64.0469 0.001126499 288.00 +4 65.701 60.1072 0.00218082553 288.00 +5 65.6809 98.9389 0.00243905719 288.00 +6 65.6659 96.0484 0.0022324874 288.00 +1 65.644 68.2777 0.00195473783 288.00 +2 65.6267 63.9555 0.00272488532 288.00 +4 65.6124 60.0282 0.00117303026 288.00 +5 65.5991 98.8125 0.00266176633 288.00 +6 65.5874 95.9447 0.0018817545 288.00 +1 62.8157 65.3648 0.0017538529 302.00 +2 62.7846 61.3055 0.00319765539 302.00 +4 62.7574 57.6351 0.0027765086 302.00 +5 62.7356 94.7272 0.00275245345 302.00 +6 62.7183 92.0013 0.00312745903 302.00 +1 62.6825 65.2225 0.00213190056 302.00 +2 62.6635 61.189 0.00271293199 302.00 +4 62.6484 57.5369 0.0015965588 302.00 +5 62.6308 94.5714 0.00243803199 302.00 +6 62.6128 91.8683 0.00190814046 302.00 +1 62.5857 65.1319 0.00212814473 302.00 +2 62.5733 61.1145 0.0021691012 302.00 +4 62.5656 57.4707 0.00215429803 302.00 +5 62.5517 94.4596 0.00229434086 302.00 +6 62.5441 91.7755 0.00401061093 302.00 +1 61.1814 63.6768 0.00247709507 310.00 +2 61.1535 59.7803 0.00174384632 310.00 +4 61.1246 56.258 0.00342636834 310.00 +5 61.1033 92.3842 0.0029826163 310.00 +6 61.0853 89.7611 0.0021746264 310.00 +1 61.0517 63.544 0.00229782506 310.00 +2 61.0297 59.6705 0.00168671278 310.00 +4 61.0165 56.1725 0.00229891279 310.00 +5 61.0049 92.2353 0.00181686543 310.00 +6 60.9866 89.6288 0.00223069496 310.00 +1 60.9686 63.4605 0.0026124701 310.00 +2 60.957 59.5923 0.00200024998 310.00 +4 60.9446 56.1093 0.00220476756 310.00 +5 60.9281 92.1349 0.00195166596 310.00 +6 60.9205 89.5391 0.0014862705 310.00 diff --git a/calib_data/calib_2024-12-09.txt b/calib_data/calib_2024-12-09.txt new file mode 100644 index 0000000..e4b7549 --- /dev/null +++ b/calib_data/calib_2024-12-09.txt @@ -0,0 +1,887 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 17553.23 445.98 0.0181565415 1.62 +2 17552.75 19187.77 1.87446259 1.62 +4 17552.49 9874.24 0.257371327 1.62 +5 17547.24 10645.95 1.11939716 1.62 +6 17544.93 19677.77 1.73384255 1.62 +1 17539.01 445.8757 0.0123272462 1.62 +2 17533.85 19165.47 1.25236177 1.62 +4 17531.45 9864.68 0.486168695 1.62 +5 17531.17 10633.29 0.857257254 1.62 +6 17527.28 19658.93 1.40000357 1.62 +1 17525.06 445.7732 0.0110070886 1.62 +2 17521.25 19160.66 1.10789891 1.62 +4 17522.11 9861.93 0.586182565 1.62 +5 17520.84 10633.15 0.526735228 1.62 +6 17520.29 19656.56 1.61593317 1.62 +1 13326.27 408.9861 0.00907573688 1.78 +2 13327.74 14674.94 0.526535849 1.78 +4 13328.09 7768.47 0.271679959 1.78 +5 13327.5 8082.02 0.421141306 1.78 +6 13328.9 15034.01 0.287210724 1.78 +1 13328.08 409.0312 0.00706371007 1.78 +2 13328.69 14674.58 0.406890649 1.78 +4 13331.52 7770.79 0.382478758 1.78 +5 13330.84 8083.26 0.26540535 1.78 +6 13330.85 15037.95 0.620523972 1.78 +1 13331.28 409.0457 0.00533863278 1.78 +2 13332.05 14677.53 0.357505245 1.78 +4 13331.76 7771.22 0.382047118 1.78 +5 13330.02 8083.52 0.310096759 1.78 +6 13329.87 15036.57 0.669186073 1.78 +1 11427.59 389.2283 0.00641880051 1.95 +2 11428.25 12632.48 0.358831437 1.95 +4 11426.38 6788.96 0.271735165 1.95 +5 11425.1 6924.9 0.267581763 1.95 +6 11427.03 12928.71 0.679036082 1.95 +1 11426.77 389.202 0.00997997996 1.95 +2 11426.61 12632 0.439772669 1.95 +4 11425.62 6789.43 0.288461436 1.95 +5 11425.14 6924.97 0.183874958 1.95 +6 11425.09 12926.58 0.207267943 1.95 +1 11426.75 389.2007 0.00457176115 1.95 +2 11426.43 12631.2 0.350713558 1.95 +4 11426.3 6788.53 0.298345437 1.95 +5 11426.05 6925.46 0.166853229 1.95 +6 11426.25 12928.12 0.581515262 1.95 +1 9841.26 370.6065 0.00660492241 2.14 +2 9841.08 10919.08 0.399949997 2.14 +4 9841.47 5956.48 0.250918313 2.14 +5 9840.58 5961.91 0.298814324 2.14 +6 9840.22 11167.16 0.365568051 2.14 +1 9840.95 370.608 0.00700999287 2.14 +2 9840.51 10919.42 0.27342275 2.14 +4 9841.39 5956.8 0.207846097 2.14 +5 9840.4 5960.87 0.329863608 2.14 +6 9840.4 11167.5 0.313049517 2.14 +1 9841.08 370.5847 0.00740682118 2.14 +2 9842.02 10919.31 0.467001071 2.14 +4 9840.3 5957.33 0.187643279 2.14 +5 9839.43 5960.91 0.283001767 2.14 +6 9840.18 11168.27 0.419297031 2.14 +1 8571.56 353.8821 0.00924818901 2.34 +2 8571.44 9542.99 0.196697738 2.34 +4 8571.29 5280.15 0.242177621 2.34 +5 8571.3 5191.17 0.352718018 2.34 +6 8571.36 9753.34 0.209380037 2.34 +1 8572.65 353.9091 0.0114808101 2.34 +2 8573.46 9544.78 0.304893424 2.34 +4 8572.83 5280.41 0.278729259 2.34 +5 8571.17 5192.06 0.224588513 2.34 +6 8571.14 9753.71 0.357057418 2.34 +1 8572.12 353.8993 0.0101420412 2.34 +2 8572.97 9543.79 0.445522166 2.34 +4 8572.26 5280.54 0.34473178 2.34 +5 8571.91 5191.59 0.258244071 2.34 +6 8573.23 9752.8 0.343220046 2.34 +1 7466.15 337.6768 0.00898309523 2.57 +2 7466.6 8337.93 0.304975409 2.57 +4 7465.99 4677.506 0.10099703 2.57 +5 7466.51 4517.742 0.175566512 2.57 +6 7466.87 8516.15 0.158271918 2.57 +1 7465.96 337.6637 0.00784863045 2.57 +2 7465.02 8336.73 0.313384748 2.57 +4 7465.87 4677.678 0.16991645 2.57 +5 7466.74 4517.686 0.129020929 2.57 +6 7466.05 8515.74 0.30469657 2.57 +1 7466.21 337.66 0.00972419662 2.57 +2 7466.84 8338.31 0.264367169 2.57 +4 7466.49 4677.664 0.143862434 2.57 +5 7466.2 4517.542 0.128769562 2.57 +6 7466.19 8516.22 0.211092397 2.57 +1 6550.59 322.7348 0.00814346364 2.82 +2 6550.66 7335.47 0.39218618 2.82 +4 6550.86 4172.246 0.134269877 2.82 +5 6550.91 3961.221 0.0611138282 2.82 +6 6550.42 7486.34 0.192457788 2.82 +1 6550.19 322.738 0.008655634 2.82 +2 6550.48 7334.71 0.249178651 2.82 +4 6550.8 4172.932 0.10280856 2.82 +5 6550.96 3960.979 0.076973372 2.82 +6 6550.5 7487.53 0.289153938 2.82 +1 6549.65 322.7234 0.00939489223 2.82 +2 6549.61 7334.11 0.163981706 2.82 +4 6550.33 4172.595 0.127978514 2.82 +5 6550.42 3961.591 0.0623610455 2.82 +6 6549.74 7486.92 0.43099884 2.82 +1 5778.76 308.842 0.00894427191 3.09 +2 5779.75 6487.28 0.217163533 3.09 +4 5780.24 3740.561 0.189860212 3.09 +5 5780.2 3492.448 0.0712713126 3.09 +6 5779.46 6616.69 0.341891796 3.09 +1 5779.79 308.8316 0.00461345857 3.09 +2 5779.88 6486.67 0.435671895 3.09 +4 5779.6 3740.44 0.104613575 3.09 +5 5780.21 3492.439 0.0787965735 3.09 +6 5780.17 6617.52 0.386212377 3.09 +1 5780.02 308.8523 0.00532174783 3.09 +2 5780.53 6487.82 0.346929388 3.09 +4 5780.82 3740.963 0.093520586 3.09 +5 5780.65 3493.4 0.118718154 3.09 +6 5780.36 6618.22 0.261074702 3.09 +1 5132.79 296.0292 0.00850623301 3.38 +2 5132.82 5773.35 0.215522621 3.38 +4 5132.54 3372.58 0.0954567965 3.38 +5 5132.18 3098.785 0.0719478978 3.38 +6 5131.61 5884.15 0.149833241 3.38 +1 5132.38 296.0215 0.00825378701 3.38 +2 5133.24 5772.79 0.306088223 3.38 +4 5132.86 3372.334 0.117509149 3.38 +5 5132.55 3099.327 0.0884878523 3.38 +6 5132.43 5884.02 0.378364903 3.38 +1 5131.98 295.9845 0.00741248946 3.38 +2 5131.78 5772.01 0.256300605 3.38 +4 5132.31 3372.24 0.0529528092 3.38 +5 5132.39 3099.171 0.104932836 3.38 +6 5131.58 5883.34 0.261610397 3.38 +1 4559.758 283.6169 0.0066052252 3.71 +2 4559.679 5139.7 0.176068169 3.71 +4 4559.54 3042.316 0.0909857132 3.71 +5 4559.681 2751.18 0.0656810475 3.71 +6 4559.792 5236.65 0.208446636 3.71 +1 4559.934 283.6381 0.00691151214 3.71 +2 4559.729 5139.17 0.318449368 3.71 +4 4559.619 3042.464 0.0587401055 3.71 +5 4559.758 2751.176 0.130155292 3.71 +6 4559.733 5236.68 0.16358484 3.71 +1 4559.583 283.6142 0.00940829421 3.71 +2 4559.598 5138.77 0.262697545 3.71 +4 4559.683 3042.403 0.0641880051 3.71 +5 4559.319 2750.915 0.0749833315 3.71 +6 4559.213 5236.26 0.321309819 3.71 +1 4060.425 271.7485 0.00360347055 4.07 +2 4060.44 4581.339 0.112413967 4.07 +4 4060.362 2749.621 0.0427188483 4.07 +5 4060.239 2446.624 0.10546279 4.07 +6 4060.578 4665.607 0.070186181 4.07 +1 4060.308 271.754 0.00600832755 4.07 +2 4060.334 4581.526 0.137689506 4.07 +4 4060.488 2749.713 0.0574116713 4.07 +5 4060.378 2446.512 0.11531522 4.07 +6 4060.253 4665.325 0.0698032951 4.07 +1 4060.107 271.725 0.00790948797 4.07 +2 4060.368 4581.305 0.0597871224 4.07 +4 4060.427 2749.761 0.11051199 4.07 +5 4060.32 2446.493 0.0738383369 4.07 +6 4060.127 4665.133 0.0629769799 4.07 +1 3630.186 260.5678 0.00680705516 4.46 +2 3630.325 4100.15 0.054277067 4.46 +4 3630.252 2494.114 0.107797959 4.46 +5 3630.214 2184.117 0.0724851709 4.46 +6 3630.325 4173.536 0.12514152 4.46 +1 3630.279 260.5703 0.00625307924 4.46 +2 3630.379 4100.274 0.0647950615 4.46 +4 3630.212 2494.032 0.0710183075 4.46 +5 3630.101 2184.11 0.0870057469 4.46 +6 3630.251 4173.53 0.0747127834 4.46 +1 3630.141 260.5775 0.00485231903 4.46 +2 3630.175 4100.194 0.0810333265 4.46 +4 3630.169 2493.806 0.0336808551 4.46 +5 3630.208 2184.32 0.0968710483 4.46 +6 3630.423 4173.45 0.0942974019 4.46 +1 3253.787 249.9466 0.00665462245 4.89 +2 3253.789 3677.527 0.0875791071 4.89 +4 3253.763 2267.007 0.0495993952 4.89 +5 3253.766 1954.678 0.0994967336 4.89 +6 3253.843 3741.694 0.0767619698 4.89 +1 3253.848 249.946 0.00603324125 4.89 +2 3253.891 3677.671 0.0654133014 4.89 +4 3253.817 2266.935 0.0800281201 4.89 +5 3253.868 1954.44 0.0798122798 4.89 +6 3253.886 3741.482 0.0719138373 4.89 +1 3253.593 249.9461 0.00640694935 4.89 +2 3253.612 3677.499 0.0420820627 4.89 +4 3253.713 2266.833 0.0899227446 4.89 +5 3253.654 1954.577 0.0774603124 4.89 +6 3253.643 3741.222 0.0939127254 4.89 +1 2923.335 239.8332 0.00773666595 5.36 +2 2923.34 3305.346 0.0681498349 5.36 +4 2923.278 2065.098 0.0418282201 5.36 +5 2923.121 1752.822 0.0761813626 5.36 +6 2923.161 3361.116 0.101115775 5.36 +1 2923.332 239.8176 0.00720583097 5.36 +2 2923.447 3305.318 0.0742670856 5.36 +4 2923.435 2065.128 0.058477346 5.36 +5 2923.319 1752.925 0.0657457223 5.36 +6 2923.362 3361.059 0.0791384862 5.36 +1 2923.359 239.8273 0.00567987676 5.36 +2 2923.292 3305.131 0.0813197393 5.36 +4 2923.285 2065.078 0.0714954544 5.36 +5 2923.388 1752.902 0.0642464007 5.36 +6 2923.485 3361.152 0.0749639914 5.36 +1 2628.238 230.0206 0.00559499777 5.88 +2 2628.092 2971.199 0.0470414711 5.88 +4 2628.014 1881.985 0.0500249938 5.88 +5 2628.189 1571.237 0.0392950379 5.88 +6 2628.162 3020.025 0.0455466794 5.88 +1 2627.816 230.005 0.00713161973 5.88 +2 2627.736 2971.006 0.0599032553 5.88 +4 2627.731 1881.889 0.0678741482 5.88 +5 2627.932 1571.225 0.0304055916 5.88 +6 2628.11 3019.747 0.0852062204 5.88 +1 2627.971 230.0185 0.00771654068 5.88 +2 2627.984 2970.798 0.0772761283 5.88 +4 2627.859 1881.941 0.0869994253 5.88 +5 2627.921 1571.247 0.0265348827 5.88 +6 2627.989 3019.719 0.0639914057 5.88 +1 2370.526 220.7686 0.00525965778 6.45 +2 2370.488 2678.935 0.0771783648 6.45 +4 2370.282 1720.187 0.0736756405 6.45 +5 2370.209 1413.886 0.0334424879 6.45 +6 2370.387 2721.657 0.0563036411 6.45 +1 2370.249 220.7775 0.00436405774 6.45 +2 2370.374 2678.538 0.0665552402 6.45 +4 2370.266 1720.097 0.0941705899 6.45 +5 2370.234 1413.734 0.0277560804 6.45 +6 2370.401 2721.615 0.0561114961 6.45 +1 2370.304 220.7704 0.00689666586 6.45 +2 2370.386 2678.729 0.0668797428 6.45 +4 2370.278 1720.101 0.0485685083 6.45 +5 2370.267 1413.818 0.0470914005 6.45 +6 2370.398 2721.683 0.0771368913 6.45 +1 2150.521 212.278 0.0084923495 7.07 +2 2150.372 2428.526 0.0892658949 7.07 +4 2150.436 1579.72 0.0254950976 7.07 +5 2150.51 1279.565 0.0343292878 7.07 +6 2150.48 2466.464 0.0827550603 7.07 +1 2150.059 212.257 0.00854751426 7.07 +2 2150.119 2428.162 0.0776891241 7.07 +4 2150.178 1579.589 0.0257856549 7.07 +5 2150.142 1279.449 0.0167600716 7.07 +6 2150.113 2466.003 0.0791713332 7.07 +1 2150.086 212.244 0.00881362581 7.07 +2 2150.008 2428.024 0.093136459 7.07 +4 2149.994 1579.488 0.0271219468 7.07 +5 2150.083 1279.219 0.0165196852 7.07 +6 2150.018 2466.107 0.0854640275 7.07 +1 1957.906 204.3038 0.00992149182 7.75 +2 1957.611 2208.641 0.0642876349 7.75 +4 1957.727 1455.596 0.0251475645 7.75 +5 1957.734 1161.777 0.0316243577 7.75 +6 1957.478 2242.019 0.0819444934 7.75 +1 1957.332 204.2817 0.00924883776 7.75 +2 1957.324 2208.327 0.0429662658 7.75 +4 1957.379 1455.384 0.0348482424 7.75 +5 1957.363 1161.562 0.0310096759 7.75 +6 1957.239 2241.897 0.0664838326 7.75 +1 1957.239 204.2682 0.0093507219 7.75 +2 1957.301 2208.067 0.0578108986 7.75 +4 1957.334 1455.324 0.0406743162 7.75 +5 1957.399 1161.542 0.0343744091 7.75 +6 1957.414 2241.697 0.0867415702 7.75 +1 1787.023 196.7338 0.00747903737 8.50 +2 1787.002 2013.673 0.0738112458 8.50 +4 1786.918 1344.328 0.024240462 8.50 +5 1786.956 1057.598 0.028975852 8.50 +6 1786.991 2043.458 0.0946657277 8.50 +1 1786.519 196.7139 0.00812582304 8.50 +2 1786.632 2013.245 0.0621007246 8.50 +4 1786.67 1344.174 0.0252269697 8.50 +5 1786.655 1057.449 0.0247163913 8.50 +6 1786.514 2043.229 0.0608678897 8.50 +1 1786.526 196.704 0.00820853215 8.50 +2 1786.584 2013.277 0.0709372963 8.50 +4 1786.719 1344.2 0.0134907376 8.50 +5 1786.809 1057.476 0.0198595065 8.50 +6 1786.751 2043.307 0.0685718601 8.50 +1 1635.698 189.5838 0.00752037233 9.32 +2 1635.49 1840.475 0.0847614299 9.32 +4 1635.566 1244.624 0.0354739341 9.32 +5 1635.673 965.337 0.019851952 9.32 +6 1635.464 1867.24 0.0728010989 9.32 +1 1635.42 189.5664 0.00595348637 9.32 +2 1635.391 1840.251 0.0892350828 9.32 +4 1635.435 1244.494 0.0282913414 9.32 +5 1635.455 965.314 0.0256593063 9.32 +6 1635.31 1866.943 0.0706406399 9.32 +1 1635.129 189.5712 0.00535686475 9.32 +2 1635.047 1839.948 0.115237147 9.32 +4 1635.149 1244.29 0.0230217289 9.32 +5 1635.268 965.177 0.0334080829 9.32 +6 1635.056 1866.836 0.0776942726 9.32 +1 1502.468 182.9583 0.00762502459 10.20 +2 1502.275 1688.684 0.0520615021 10.20 +4 1502.17 1156.165 0.0185067555 10.20 +5 1502.172 884.481 0.0305434117 10.20 +6 1502.164 1712.659 0.0798179178 10.20 +1 1502.109 182.9448 0.00923125127 10.20 +2 1502.051 1688.249 0.0857373897 10.20 +4 1502.063 1156.072 0.017538529 10.20 +5 1502.113 884.469 0.0203199409 10.20 +6 1502.087 1712.467 0.0682502747 10.20 +1 1502.035 182.947 0.00597327381 10.20 +2 1501.958 1688.346 0.0547941603 10.20 +4 1501.964 1155.932 0.0276694778 10.20 +5 1501.975 884.303 0.0214499417 10.20 +6 1501.934 1712.345 0.0871349528 10.20 +1 1379.155 176.4032 0.0065449217 11.20 +2 1379.166 1547.06 0.0289482297 11.20 +4 1379.133 1073.131 0.021883784 11.20 +5 1379.018 809.602 0.020238577 11.20 +6 1379.017 1568.506 0.033888051 11.20 +1 1378.927 176.4091 0.00392288159 11.20 +2 1378.856 1546.824 0.0250679078 11.20 +4 1378.868 1073.038 0.0198896958 11.20 +5 1378.845 809.441 0.018732325 11.20 +6 1378.825 1568.318 0.0261457454 11.20 +1 1378.678 176.3923 0.00632463438 11.20 +2 1378.767 1546.729 0.0355654327 11.20 +4 1378.807 1072.922 0.0238243573 11.20 +5 1378.794 809.457 0.0254578082 11.20 +6 1378.789 1568.2 0.0186547581 11.20 +1 1267.504 170.1083 0.00559115373 12.30 +2 1267.439 1419.201 0.023428615 12.30 +4 1267.349 997.005 0.0270277635 12.30 +5 1267.204 741.844 0.0370189141 12.30 +6 1267.195 1438.383 0.0172655727 12.30 +1 1267.158 170.0891 0.00830716558 12.30 +2 1267.101 1418.842 0.0230564525 12.30 +4 1267.072 996.843 0.025221023 12.30 +5 1267.013 741.77 0.0177763888 12.30 +6 1267.046 1438.136 0.0332024096 12.30 +1 1267.025 170.0542 0.0078112739 12.30 +2 1267.03 1418.746 0.0194010309 12.30 +4 1267.038 996.875 0.0368035324 12.30 +5 1267.019 741.72 0.0225831796 12.30 +6 1267.018 1438.186 0.0256593063 12.30 +1 1165.998 164.0447 0.00849240837 13.50 +2 1165.941 1303.22 0.0165529454 13.50 +4 1165.908 927.042 0.0244867311 13.50 +5 1165.813 680.502 0.0189103146 13.50 +6 1165.754 1320.507 0.0211683726 13.50 +1 1165.69 164.0337 0.00546452194 13.50 +2 1165.639 1302.96 0.0205912603 13.50 +4 1165.618 926.895 0.0184526421 13.50 +5 1165.534 680.449 0.022020445 13.50 +6 1165.568 1320.307 0.0236241402 13.50 +1 1165.578 164.0247 0.00651160502 13.50 +2 1165.555 1302.844 0.0286076913 13.50 +4 1165.576 926.834 0.0106957936 13.50 +5 1165.532 680.3 0.0132664992 13.50 +6 1165.509 1320.18 0.0175499288 13.50 +1 1074.245 158.1895 0.00249499499 14.80 +2 1074.144 1198.513 0.0219111844 14.80 +4 1074.01 863.109 0.0310950157 14.80 +5 1073.924 625.16 0.013114877 14.80 +6 1073.867 1213.967 0.0322195593 14.80 +1 1073.896 158.1618 0.00267132926 14.80 +2 1073.846 1198.131 0.0108120303 14.80 +4 1073.765 862.906 0.0331119314 14.80 +5 1073.671 625.031 0.0277290461 14.80 +6 1073.672 1213.804 0.0290585616 14.80 +1 1073.739 158.158 0.00200997512 14.80 +2 1073.701 1197.969 0.0183002732 14.80 +4 1073.631 862.838 0.0154142791 14.80 +5 1073.595 624.967 0.0300349796 14.80 +6 1073.589 1213.639 0.0144533733 14.80 +1 991.541 152.6762 0.00337283264 16.20 +2 991.447 1104.381 0.0193106188 16.20 +4 991.288 804.855 0.0189868375 16.20 +5 991.211 575.56 0.0177763888 16.20 +6 991.133 1118.314 0.0155692004 16.20 +1 991.154 152.6409 0.00198217053 16.20 +2 991.159 1104.038 0.0184824241 16.20 +4 991.055 804.696 0.0221900879 16.20 +5 990.947 575.427 0.0196494275 16.20 +6 990.948 1118.12 0.0224944438 16.20 +1 990.953 152.6358 0.00257992248 16.20 +2 990.915 1103.826 0.0208901891 16.20 +4 990.873 804.578 0.0216240607 16.20 +5 990.807 575.29 0.0203469899 16.20 +6 990.824 1117.998 0.0338171554 16.20 +1 912.649 147.11 0.00201494417 17.80 +2 912.569 1014.873 0.0179471446 17.80 +4 912.458 748.712 0.028241813 17.80 +5 912.375 528.438 0.0243228288 17.80 +6 912.359 1027.49 0.0260768096 17.80 +1 912.2 147.0842 0.00217163533 17.80 +2 912.271 1014.472 0.0191206694 17.80 +4 912.253 748.504 0.0315658043 17.80 +5 912.183 528.317 0.0237507895 17.80 +6 912.137 1027.206 0.0249479458 17.80 +1 912.104 147.0741 0.00274754436 17.80 +2 912.111 1014.368 0.035771497 17.80 +4 912.039 748.434 0.0188255146 17.80 +5 911.976 528.262 0.0197888858 17.80 +6 911.964 1027.029 0.0181356003 17.80 +1 842.655 141.8949 0.00274390233 19.50 +2 842.52 935.662 0.0283125414 19.50 +4 842.367 698.255 0.0193002591 19.50 +5 842.338 455.1977 0.00679418869 19.50 +6 842.326 947.017 0.0164347193 19.50 +1 842.279 141.865 0.00301330383 19.50 +2 842.238 935.357 0.0329256739 19.50 +4 842.173 698.003 0.0208350666 19.50 +5 842.163 455.1186 0.00993498868 19.50 +6 842.157 946.829 0.0240603408 19.50 +1 842.083 141.8481 0.00317001577 19.50 +2 842.061 935.174 0.0217807254 19.50 +4 842.003 697.959 0.0189446562 19.50 +5 841.986 454.9896 0.00988352164 19.50 +6 842.012 946.656 0.025502941 19.50 +1 776.895 136.7219 0.00335097001 21.40 +2 776.791 861.607 0.0164347193 21.40 +4 776.702 650.333 0.024861617 21.40 +5 776.637 419.0191 0.00749459805 21.40 +6 776.56 871.776 0.0195038458 21.40 +1 776.455 136.6857 0.00417624233 21.40 +2 776.449 861.239 0.0295787086 21.40 +4 776.399 650.125 0.0321014018 21.40 +5 776.392 418.8698 0.00908713376 21.40 +6 776.371 871.599 0.0229106962 21.40 +1 776.299 136.6699 0.00208062491 21.40 +2 776.287 861.023 0.0207870152 21.40 +4 776.197 649.989 0.028193971 21.40 +5 776.218 418.8509 0.00955766708 21.40 +6 776.234 871.367 0.0188706121 21.40 +1 718.527 131.8705 0.00184526421 23.40 +2 718.462 796.134 0.0278280434 23.40 +4 718.387 607.361 0.0172887246 23.40 +5 718.358 387.2687 0.0074431848 23.40 +6 718.273 805.388 0.0193287351 23.40 +1 718.177 131.8366 0.00277200289 23.40 +2 718.151 795.757 0.0212626433 23.40 +4 718.086 607.124 0.0254636997 23.40 +5 718.058 387.0787 0.00647618715 23.40 +6 718.079 805.11 0.0188679623 23.40 +1 718.03 131.832 0.00362215406 23.40 +2 718.108 795.756 0.0223696223 23.40 +4 718.075 607.115 0.0360901649 23.40 +5 718.077 387.4529 0.00920483569 23.40 +6 718 805.082 0.0258379566 23.40 +1 661.878 126.9019 0.00196188685 25.70 +2 661.765 732.764 0.0187189743 25.70 +4 661.708 565.009 0.0243084348 25.70 +5 661.667 356.5208 0.00650814874 25.70 +6 661.569 741.109 0.0311271586 25.70 +1 661.491 126.8647 0.00314022292 25.70 +2 661.449 732.396 0.0166853229 25.70 +4 661.378 564.815 0.0244642596 25.70 +5 661.415 356.441 0.00712460525 25.70 +6 661.393 740.903 0.0264215821 25.70 +1 661.395 126.85 0.00202977831 25.70 +2 661.367 732.317 0.0222733024 25.70 +4 661.307 564.678 0.0296243143 25.70 +5 661.304 356.2949 0.0088073265 25.70 +6 661.287 740.723 0.0231969826 25.70 +1 609.893 122.0697 0.00277866875 28.20 +2 609.791 674.918 0.0194319325 28.20 +4 609.656 525.747 0.0202509259 28.20 +5 609.633 328.4211 0.00493649673 28.20 +6 609.614 682.513 0.0212626433 28.20 +1 609.519 122.0408 0.00300599401 28.20 +2 609.506 674.619 0.0198217053 28.20 +4 609.44 525.544 0.0239248824 28.20 +5 609.401 328.2859 0.00928164856 28.20 +6 609.422 682.202 0.0354062141 28.20 +1 609.356 122.0199 0.00254342289 28.20 +2 609.327 674.354 0.0204058815 28.20 +4 609.284 525.433 0.0234968083 28.20 +5 609.28 328.1681 0.00730130125 28.20 +6 609.265 682.061 0.0216540989 28.20 +1 562.433 117.4127 0.00183330303 30.90 +2 562.306 622.253 0.0105877287 30.90 +4 562.226 489.2893 0.00842146068 30.90 +5 562.227 302.8597 0.00775377327 30.90 +6 562.163 629.057 0.0268346791 30.90 +1 562.054 117.381 0.00446766158 30.90 +2 561.973 621.893 0.0189235303 30.90 +4 561.922 489.047 0.00701997151 30.90 +5 561.961 302.7278 0.0101121709 30.90 +6 561.953 628.802 0.0356033706 30.90 +1 561.837 117.3581 0.00335395289 30.90 +2 561.829 621.664 0.0147105404 30.90 +4 561.804 488.9275 0.00636906587 30.90 +5 561.787 302.6048 0.0113408994 30.90 +6 561.725 628.651 0.0201221271 30.90 +1 519.095 112.9288 0.00318998433 33.80 +2 519.02 574.437 0.0221833271 33.80 +4 518.965 455.7504 0.00797395761 33.80 +5 518.941 279.7202 0.00431462629 33.80 +6 518.817 580.528 0.0309127805 33.80 +1 518.706 112.8899 0.0020709901 33.80 +2 518.68 574.086 0.0248676497 33.80 +4 518.647 455.5274 0.00674121651 33.80 +5 518.647 279.5876 0.00618417335 33.80 +6 518.585 580.259 0.0145910932 33.80 +1 518.502 112.864 0.00270554985 33.80 +2 518.522 573.834 0.0215034881 33.80 +4 518.484 455.3698 0.00801847866 33.80 +5 518.425 279.4792 0.00749373071 33.80 +6 518.364 580.08 0.025019992 33.80 +1 477.2764 108.3773 0.00207870152 37.10 +2 477.1634 528.568 0.0296580512 37.10 +4 477.0878 423.0896 0.00881725581 37.10 +5 477.0273 257.6061 0.00705187918 37.10 +6 476.9545 534.087 0.0238348484 37.10 +1 476.8998 108.3338 0.00155434874 37.10 +2 476.8396 528.215 0.0315673882 37.10 +4 476.8015 422.8431 0.00811350726 37.10 +5 476.7639 257.4781 0.00626490223 37.10 +6 476.7035 533.799 0.036206353 37.10 +1 476.6404 108.3091 0.00195678307 37.10 +2 476.6181 528.01 0.0327108545 37.10 +4 476.6086 422.6897 0.00508340437 37.10 +5 476.5708 257.3655 0.00936509477 37.10 +6 476.5293 533.61 0.0296984848 37.10 +1 438.8868 103.945 0.00250998008 40.70 +2 438.7942 486.2843 0.00823049209 40.70 +4 438.6991 392.6166 0.00469936166 40.70 +5 438.6107 237.3114 0.00839785687 40.70 +6 438.5636 491.2454 0.00772813043 40.70 +1 438.4618 103.8983 0.00277506757 40.70 +2 438.4305 485.9174 0.00914133469 40.70 +4 438.3993 392.3716 0.00340939877 40.70 +5 438.3446 237.1628 0.00518613536 40.70 +6 438.3056 490.9376 0.00808727395 40.70 +1 438.2491 103.8639 0.0022558812 40.70 +2 438.2225 485.6684 0.00703306477 40.70 +4 438.1829 392.2026 0.00868009217 40.70 +5 438.1419 237.0645 0.0109281746 40.70 +6 438.118 490.7403 0.00600341569 40.70 +1 403.7219 99.6593 0.00253396922 44.60 +2 403.6394 447.8543 0.00622101278 44.60 +4 403.5697 364.3991 0.00543405926 44.60 +5 403.4895 218.7956 0.00822702863 44.60 +6 403.4107 452.294 0.0076602872 44.60 +1 403.3494 99.6098 0.00258379566 44.60 +2 403.2889 447.456 0.00881022134 44.60 +4 403.2273 364.141 0.0057965507 44.60 +5 403.1694 218.6274 0.00531450844 44.60 +6 403.1377 451.9795 0.00758056726 44.60 +1 403.0998 99.58 0.00202484567 44.60 +2 403.066 447.2169 0.00790752806 44.60 +4 403.0322 363.9594 0.00940446702 44.60 +5 402.9776 218.559 0.00681909085 44.60 +6 402.9544 451.7664 0.00374753252 44.60 +1 370.5073 95.3898 0.00334604244 48.90 +2 370.4352 411.5964 0.00444792086 48.90 +4 370.3687 337.4214 0.0060517766 48.90 +5 370.3147 201.4766 0.0101392307 48.90 +6 370.2605 415.6366 0.00882745717 48.90 +1 370.1968 95.348 0.00191833261 48.90 +2 370.1593 411.2781 0.00638975743 48.90 +4 370.1237 337.2097 0.00814499847 48.90 +5 370.0706 201.3174 0.00643303972 48.90 +6 370.0293 415.3827 0.00726780572 48.90 +1 369.9805 95.3241 0.00178016853 48.90 +2 369.9634 411.0866 0.00729273611 48.90 +4 369.939 337.064 0.00517687164 48.90 +5 369.8981 201.2538 0.0091834634 48.90 +6 369.8725 415.2328 0.00823747534 48.90 +1 341.2 91.4272 0.00191728975 53.60 +2 341.065 379.5929 0.00881413637 53.60 +4 340.9476 313.2171 0.00587443614 53.60 +5 340.8307 186.0619 0.0110203902 53.60 +6 340.7315 383.0718 0.00548962658 53.60 +1 340.6205 91.3547 0.00174957138 53.60 +2 340.5392 379.0176 0.0058278641 53.60 +4 340.4717 312.8105 0.00756736414 53.60 +5 340.3971 185.8325 0.00764362479 53.60 +6 340.3336 382.6207 0.004331397 53.60 +1 340.2524 91.2984 0.00289551377 53.60 +2 340.1975 378.6279 0.00523536054 53.60 +4 340.1488 312.5609 0.00852812992 53.60 +5 340.1029 185.6822 0.00700399886 53.60 +6 340.041 382.3106 0.00523870213 53.60 +1 313.2714 87.463 0.00269443872 58.80 +2 313.1402 349.1986 0.00992088706 58.80 +4 313.0084 289.9747 0.00705981586 58.80 +5 312.8931 171.509 0.00826559133 58.80 +6 312.7987 352.2853 0.00632305306 58.80 +1 312.6875 87.3738 0.00223964283 58.80 +2 312.5989 348.6111 0.00887744333 58.80 +4 312.5259 289.5821 0.00681535032 58.80 +5 312.4427 171.2608 0.00988008097 58.80 +6 312.3789 351.841 0.00829819257 58.80 +1 312.3058 87.3219 0.00270351623 58.80 +2 312.2478 348.2181 0.00920809427 58.80 +4 312.1894 289.3057 0.00986818119 58.80 +5 312.1318 171.1044 0.0106632078 58.80 +6 312.0853 351.5203 0.00479802043 58.80 +1 287.5015 83.6167 0.00182236111 64.50 +2 287.3812 321.1687 0.0111759116 64.50 +4 287.2496 268.3355 0.00752230018 64.50 +5 287.1451 158.1919 0.0241910934 64.50 +6 287.0485 323.9551 0.00726009642 64.50 +1 286.9301 83.5303 0.0019851952 64.50 +2 286.8446 320.5869 0.00969169748 64.50 +4 286.7615 267.9034 0.00628999205 64.50 +5 286.6935 157.9546 0.0326457348 64.50 +6 286.6338 323.4808 0.00811147336 64.50 +1 286.5379 83.4662 0.00203862699 64.50 +2 286.49 320.1982 0.00564588346 64.50 +4 286.431 267.6289 0.01097857 64.50 +5 286.3659 157.8232 0.0161825832 64.50 +6 286.3194 323.1536 0.00533704038 64.50 +1 264.0062 79.9294 0.00303380949 70.70 +2 263.8816 295.6183 0.0102587036 70.70 +4 263.761 248.3449 0.0114677374 70.70 +5 263.6465 145.9613 0.0218133216 70.70 +6 263.5578 298.0971 0.00927949352 70.70 +1 263.4272 79.8348 0.0020238577 70.70 +2 263.3551 295.0222 0.00589881344 70.70 +4 263.2639 247.92 0.00527636238 70.70 +5 263.1844 145.7734 0.0271688056 70.70 +6 263.1267 297.6154 0.00835487881 70.70 +1 263.0458 79.771 0.00282842712 70.70 +2 262.974 294.6344 0.00797144905 70.70 +4 262.9144 247.6397 0.00728017857 70.70 +5 262.8695 145.5398 0.0178077511 70.70 +6 262.8298 297.2937 0.00674247729 70.70 +1 242.1118 76.321 0.0031144823 77.50 +2 242.0112 271.788 0.00926066952 77.50 +4 241.8872 229.563 0.00457820926 77.50 +5 241.7881 134.6218 0.0270143665 77.50 +6 241.7027 274.0436 0.0080959249 77.50 +1 241.5918 76.2292 0.00264121184 77.50 +2 241.5142 271.2579 0.00703484186 77.50 +4 241.4375 229.1736 0.0066139247 77.50 +5 241.3738 134.4808 0.0192866793 77.50 +6 241.3079 273.6069 0.00874922854 77.50 +1 241.2186 76.1699 0.00268867997 77.50 +2 241.1594 270.881 0.00824378554 77.50 +4 241.1098 228.8628 0.00500159974 77.50 +5 241.0612 134.1819 0.026371367 77.50 +6 241.014 273.2693 0.0045366287 77.50 +1 221.8554 72.813 0.00224499443 85.00 +2 221.7333 249.7092 0.00707361294 85.00 +4 221.6159 211.9569 0.00648143503 85.00 +5 221.5209 124.1092 0.0177424914 85.00 +6 221.4371 251.729 0.0103720779 85.00 +1 221.3357 72.7215 0.00218746429 85.00 +2 221.2439 249.1956 0.00478581237 85.00 +4 221.1734 211.5915 0.00636592491 85.00 +5 221.1137 123.907 0.0260614658 85.00 +6 221.0515 251.2991 0.0073436367 85.00 +1 220.9731 72.6624 0.00208901891 85.00 +2 220.9215 248.8323 0.00954992147 85.00 +4 220.857 211.2895 0.00630277717 85.00 +5 220.8055 123.7169 0.0193728934 85.00 +6 220.7646 250.9722 0.00966933297 85.00 +1 203.1747 69.4137 0.00258089132 93.20 +2 203.0683 229.3744 0.00919478113 93.20 +4 202.9651 195.5747 0.00746598955 93.20 +5 202.8766 114.4851 0.0133240009 93.20 +6 202.7929 231.1578 0.00699685644 93.20 +1 202.7026 69.3294 0.00182866071 93.20 +2 202.6228 228.8558 0.00786485855 93.20 +4 202.542 195.21 0.00901665126 93.20 +5 202.4894 114.3116 0.0282762091 93.20 +6 202.4309 230.7399 0.00394829077 93.20 +1 202.3362 69.2608 0.00179332094 93.20 +2 202.2911 228.496 0.0104288063 93.20 +4 202.2376 194.9342 0.0102925216 93.20 +5 202.1957 114.094 0.0173476223 93.20 +6 202.1557 230.4428 0.00643397233 93.20 +1 186.144 66.1642 0.00174814187 102.00 +2 186.0466 210.7762 0.00885753916 102.00 +4 185.9606 180.5062 0.0044086279 102.00 +5 185.8901 105.6596 0.0156730342 102.00 +6 185.8011 212.392 0.00637965516 102.00 +1 185.7221 66.0753 0.0024861617 102.00 +2 185.6553 210.3123 0.00971807594 102.00 +4 185.5839 180.1745 0.00846079193 102.00 +5 185.5163 105.4609 0.0176286415 102.00 +6 185.4626 212.0169 0.00852578442 102.00 +1 185.3908 66.0166 0.00140854535 102.00 +2 185.3456 209.9918 0.00428205558 102.00 +4 185.3029 179.9113 0.00470329672 102.00 +5 185.2645 105.3134 0.0164737367 102.00 +6 185.2231 211.7332 0.00939659513 102.00 +1 170.0645 62.9313 0.00220476756 112.00 +2 169.9757 193.1547 0.00811671116 112.00 +4 169.875 166.1171 0.00712242936 112.00 +5 169.7869 97.2324 0.0274769722 112.00 +6 169.725 194.6248 0.0155812708 112.00 +1 169.6326 62.8433 0.00230672929 112.00 +2 169.5687 192.7028 0.00588523576 112.00 +4 169.5168 165.762 0.00849941174 112.00 +5 169.445 97.1176 0.0188802542 112.00 +6 169.3714 194.238 0.00686440092 112.00 +1 169.3127 62.7835 0.00260480326 112.00 +2 169.2719 192.3826 0.00399048869 112.00 +4 169.2214 165.5149 0.00538785672 112.00 +5 169.1779 96.9867 0.0100020498 112.00 +6 169.132 193.9639 0.00754645612 112.00 +1 154.9338 59.7556 0.00242156974 123.00 +2 154.854 176.649 0.0137971011 123.00 +4 154.7851 152.4615 0.00312809846 123.00 +5 154.7201 89.4848 0.00948451369 123.00 +6 154.649 177.9984 0.0089500838 123.00 +1 154.5683 59.6772 0.00154790181 123.00 +2 154.5113 176.2634 0.00871114229 123.00 +4 154.4593 152.1639 0.00323558341 123.00 +5 154.4099 89.3238 0.0241953715 123.00 +6 154.3548 177.655 0.0114873844 123.00 +1 154.2959 59.6202 0.00193804025 123.00 +2 154.2534 175.9845 0.00563071931 123.00 +4 154.2178 151.9436 0.00249879971 123.00 +5 154.1816 89.2345 0.0107081744 123.00 +6 154.1378 177.418 0.00965608616 123.00 +1 141.2717 56.7247 0.00278585714 135.00 +2 141.1966 161.6368 0.00683198361 135.00 +4 141.1303 139.9986 0.00299399399 135.00 +5 141.0674 170.9105 0.00989267406 135.00 +6 141.0054 162.8231 0.00602071424 135.00 +1 140.9324 56.6439 0.00201221271 135.00 +2 140.8755 161.2631 0.00989085436 135.00 +4 140.8314 139.7143 0.00367980978 135.00 +5 140.7849 170.5659 0.00865268744 135.00 +6 140.7267 162.5249 0.0102571439 135.00 +1 140.6751 56.5803 0.0031434058 135.00 +2 140.6339 161.006 0.00831865374 135.00 +4 140.5998 139.5063 0.00259248915 135.00 +5 140.5638 170.3103 0.00487862686 135.00 +6 140.5262 162.2946 0.0111276233 135.00 +1 128.8927 53.8301 0.00354809808 148.00 +2 128.8256 147.9146 0.00362270617 148.00 +4 128.7652 128.593 0.0036138622 148.00 +5 128.7029 156.2468 0.00367913033 148.00 +6 128.6455 149.0024 0.0026540535 148.00 +1 128.5708 53.749 0.00343511281 148.00 +2 128.5202 147.5741 0.00330590381 148.00 +4 128.4698 128.319 0.0021023796 148.00 +5 128.4239 155.9205 0.00182893412 148.00 +6 128.3834 148.7106 0.00355021126 148.00 +1 128.3228 53.6963 0.00392950379 148.00 +2 128.2881 147.3176 0.00230304147 148.00 +4 128.2556 128.1234 0.00260844781 148.00 +5 128.2193 155.6827 0.00322815737 148.00 +6 128.1874 148.4948 0.00168997041 148.00 +1 117.6341 51.0695 0.00360901649 162.00 +2 117.5703 135.468 0.00384967531 162.00 +4 117.5125 118.1342 0.0031962478 162.00 +5 117.4561 142.9589 0.00311592683 162.00 +6 117.405 136.4579 0.00253948814 162.00 +1 117.3323 50.9931 0.00180803761 162.00 +2 117.2764 135.1296 0.00386574702 162.00 +4 117.2251 117.8655 0.00188281704 162.00 +5 117.1837 142.6342 0.00329484446 162.00 +6 117.1462 136.1738 0.00259923066 162.00 +1 117.0955 50.9372 0.00269369635 162.00 +2 117.0633 134.9077 0.00274244417 162.00 +4 117.0334 117.6926 0.00252665787 162.00 +5 117.0038 142.4359 0.0022558812 162.00 +6 116.9793 135.9838 0.00277416654 162.00 +1 106.8565 48.27042 0.00105278678 178.00 +2 106.8007 123.5144 0.0040303846 178.00 +4 106.7398 108.0353 0.00309531905 178.00 +5 106.6951 130.2232 0.00309774111 178.00 +6 106.6515 124.424 0.00318433667 178.00 +1 106.5899 48.20274 0.000973570747 178.00 +2 106.5542 123.2504 0.00237571042 178.00 +4 106.5201 107.8241 0.0015195394 178.00 +5 106.4856 129.9709 0.00162757488 178.00 +6 106.4501 124.1992 0.00216240607 178.00 +1 106.4086 48.15557 0.000922176773 178.00 +2 106.3799 123.0563 0.00273879536 178.00 +4 106.3446 107.6666 0.00151129084 178.00 +5 106.3233 129.7808 0.00254086599 178.00 +6 106.2979 124.034 0.00227596134 178.00 +1 97.3799 45.71292 0.00100227741 195.00 +2 97.3286 112.9785 0.00290258505 195.00 +4 97.28 99.0845 0.00258940148 195.00 +5 97.2365 119.0024 0.00288166618 195.00 +6 97.1926 113.8107 0.00298680431 195.00 +1 97.1406 45.64793 0.000829463682 195.00 +2 97.1041 112.7314 0.00198090888 195.00 +4 97.0703 98.8877 0.00319390044 195.00 +5 97.036 118.7675 0.00182345825 195.00 +6 97.0013 113.5998 0.0026487733 195.00 +1 96.9604 45.60092 0.000669746221 195.00 +2 96.9399 112.5483 0.0023283041 195.00 +4 96.9118 98.7431 0.00163370744 195.00 +5 96.8887 118.5919 0.0028929224 195.00 +6 96.8696 113.4435 0.00258166613 195.00 +1 88.5843 43.22631 0.000573837956 214.00 +2 88.5333 103.1713 0.00383418831 214.00 +4 88.4882 90.7103 0.00342651426 214.00 +5 88.4496 108.558 0.00483114893 214.00 +6 88.4124 103.9302 0.00288374756 214.00 +1 88.3627 43.16305 0.000691122276 214.00 +2 88.3267 102.9405 0.0027358728 214.00 +4 88.2935 90.5304 0.0022592034 214.00 +5 88.267 108.351 0.00250998008 214.00 +6 88.2383 103.7365 0.00326266762 214.00 +1 88.2015 43.11612 0.000694377419 214.00 +2 88.1772 102.7779 0.00301147804 214.00 +4 88.1543 90.3949 0.00251575039 214.00 +5 88.1337 108.1973 0.00177792013 214.00 +6 88.1116 103.6004 0.00257371327 214.00 +1 80.8615 40.94189 0.000787965735 234.00 +2 80.8179 94.5332 0.00380473389 234.00 +4 80.7792 83.3039 0.00131491445 234.00 +5 80.7438 99.3853 0.00172075565 234.00 +6 80.7081 95.2393 0.00289153938 234.00 +1 80.6743 40.88662 0.000730588804 234.00 +2 80.6442 94.339 0.00405462699 234.00 +4 80.6138 83.1466 0.00217347648 234.00 +5 80.5903 99.1999 0.00357896633 234.00 +6 80.5658 95.0744 0.00202089089 234.00 +1 80.5342 40.84501 0.000591684037 234.00 +2 80.5161 94.1925 0.00198116128 234.00 +4 80.4994 83.0307 0.00234115356 234.00 +5 80.4793 99.0692 0.00277776889 234.00 +6 80.4593 94.9558 0.00249719843 234.00 +1 73.6065 38.70428 0.0011180161 257.00 +2 73.5742 86.3932 0.00339057517 257.00 +4 73.5355 76.2932 0.00334604244 257.00 +5 73.503 90.7413 0.00311785182 257.00 +6 73.4782 87.0491 0.00305761345 257.00 +1 73.4399 38.65169 0.0007850414 257.00 +2 73.4117 86.2097 0.00199022612 257.00 +4 73.3866 76.1473 0.00268346791 257.00 +5 73.368 90.5792 0.00165408585 257.00 +6 73.3427 86.8984 0.00183956517 257.00 +1 73.3152 38.6116 0.000766681159 257.00 +2 73.2989 86.0813 0.00339131243 257.00 +4 73.2796 76.0459 0.00260940606 257.00 +5 73.2576 90.4551 0.00261705942 257.00 +6 73.2411 86.7912 0.00191728975 257.00 +1 65.7571 36.16618 0.000590050845 288.00 +2 65.7259 77.5455 0.00297405447 288.00 +4 65.6972 68.6403 0.00317505905 288.00 +5 65.6705 81.3573 0.00203002463 288.00 +6 65.6412 78.15 0.00296984848 288.00 +1 65.6085 36.11434 0.000860604439 288.00 +2 65.5871 77.3821 0.00153915561 288.00 +4 65.5651 68.5067 0.00236664319 288.00 +5 65.544 81.2136 0.00253061257 288.00 +6 65.5242 78.0167 0.00275336158 288.00 +1 65.4984 36.08061 0.00112057574 288.00 +2 65.483 77.2736 0.00340646444 288.00 +4 65.4661 68.4196 0.00206009709 288.00 +5 65.4556 81.1004 0.00320062494 288.00 +6 65.4404 77.922 0.00291204396 288.00 +1 62.6951 35.13674 0.000764748325 302.00 +2 62.6661 74.0745 0.00186681547 302.00 +4 62.6332 65.6304 0.00181769084 302.00 +5 62.6056 77.6806 0.00232465051 302.00 +6 62.5828 74.6623 0.00250619233 302.00 +1 62.5519 35.08968 0.00097537685 302.00 +2 62.5315 73.9313 0.00234968083 302.00 +4 62.5152 65.5081 0.00190499344 302.00 +5 62.4943 77.5486 0.00339470175 302.00 +6 62.4777 74.5537 0.00297001683 302.00 +1 62.4594 35.05735 0.000551225907 302.00 +2 62.443 73.8283 0.00220022726 302.00 +4 62.4288 65.4323 0.00308236922 302.00 +5 62.4204 77.4605 0.00167481342 302.00 +6 62.41 74.4634 0.00242569578 302.00 +1 61.0598 34.57945 0.000720728798 310.00 +2 61.0274 72.2225 0.00309919344 310.00 +4 60.9981 64.0196 0.00235881326 310.00 +5 60.9732 75.7249 0.00283354901 310.00 +6 60.9496 72.8123 0.00340014706 310.00 +1 60.9261 34.53492 0.00120181529 310.00 +2 60.905 72.0889 0.00259403161 310.00 +4 60.8882 63.911 0.00293257566 310.00 +5 60.8736 75.6053 0.00243741667 310.00 +6 60.8586 72.6929 0.00183002732 310.00 +1 60.8456 34.50514 0.000837042412 310.00 +2 60.831 72.0002 0.00232723011 310.00 +4 60.8183 63.8363 0.00217738375 310.00 +5 60.8054 75.5125 0.00263153947 310.00 +6 60.7938 72.6212 0.00120664825 310.00 diff --git a/calib_data/calib_2024-12-12.txt b/calib_data/calib_2024-12-12.txt new file mode 100644 index 0000000..123b3c0 --- /dev/null +++ b/calib_data/calib_2024-12-12.txt @@ -0,0 +1,902 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 18348.03 19541.71 1.97420617 1.57 +2 18346.94 20298.94 2.28649076 1.57 +4 18347.44 10735.44 0.900466546 1.57 +5 18353.22 23133.47 1.15629149 1.57 +6 18354.2 10504.74 0.62260742 1.57 +1 18351.45 19545.33 1.93153048 1.57 +2 18351.94 20301.35 1.95791981 1.57 +4 18351.29 10735.5 0.774467559 1.57 +5 18351.36 23138.41 2.2650585 1.57 +6 18354.37 10509.04 0.746886872 1.57 +1 18352.44 19559.92 2.43564365 1.57 +2 18357.32 20310.58 1.89988421 1.57 +4 18365.13 10742.88 1.17811714 1.57 +5 18367.18 23155.87 2.59653808 1.57 +6 18369.52 10516.44 0.700171408 1.57 +1 16020.73 17117.19 1.2763581 1.62 +2 16016.51 17786.13 1.56454786 1.62 +4 16015.19 9530.27 0.5122597 1.62 +5 16012.25 20188.7 2.39415956 1.62 +6 16007.93 9363.25 1.32538674 1.62 +1 16004.04 17107.16 1.94176209 1.62 +2 16005.95 17766.05 2.44181285 1.62 +4 16001.43 9519.93 0.576203089 1.62 +5 15997.56 20176.32 1.6853961 1.62 +6 16000.05 9363.65 0.470159547 1.62 +1 16004.78 17099.17 1.17847783 1.62 +2 16004.25 17762.86 1.28733834 1.62 +4 16003.74 9526.6 0.585320425 1.62 +5 16000.33 20173.58 1.41518903 1.62 +6 15999.62 9365.11 0.8566738 1.62 +1 13213.81 14173.96 0.980938326 1.78 +2 13211.87 14733.48 1.46777382 1.78 +4 13208.68 8043.85 0.521008637 1.78 +5 13206.62 16650.07 1.85688179 1.78 +6 13206.8 7960.81 0.778132379 1.78 +1 13205.89 14159.03 1.17184043 1.78 +2 13201.07 14717.45 1.51916095 1.78 +4 13196.58 8036.96 0.437995434 1.78 +5 13195.62 16633.4 1.19239255 1.78 +6 13197.11 7955.55 0.642222703 1.78 +1 13191.43 14152.44 0.75989473 1.78 +2 13191.64 14711.22 0.744150522 1.78 +4 13194.81 8030.58 0.482866441 1.78 +5 13189.4 16617.35 1.8650067 1.78 +6 13186.03 7951.96 0.629952379 1.78 +1 11227.85 12080.16 0.953016264 1.95 +2 11226.83 12565.19 1.30003461 1.95 +4 11228.18 6966.3 0.433820239 1.95 +5 11227.44 14140.16 1.40293977 1.95 +6 11222.83 6939.85 0.449499722 1.95 +1 11220.16 12075.85 0.994308805 1.95 +2 11219.87 12558.53 1.12597069 1.95 +4 11218.31 6963.49 0.645360364 1.95 +5 11218.31 14131.2 1.00468901 1.95 +6 11218.86 6938.58 0.378364903 1.95 +1 11217.74 12063.84 0.899132916 1.95 +2 11216.22 12555.94 1.00171852 1.95 +4 11215.75 6961.74 0.710943036 1.95 +5 11214.77 14125.13 1.27106648 1.95 +6 11214.63 6935.06 0.658513477 1.95 +1 9601.96 10359.71 1.07354087 2.14 +2 9601.97 10782.3 1.19899958 2.14 +4 9601 6069.41 0.604061255 2.14 +5 9599.21 12087.5 1.6810116 2.14 +6 9599.98 6079.73 0.421912313 2.14 +1 9600.89 10357.04 1.28873581 2.14 +2 9600.79 10781.46 1.36720152 2.14 +4 9596.93 6069.63 0.391675886 2.14 +5 9593.99 12082.51 1.54527991 2.14 +6 9595.85 6078.42 0.526839634 2.14 +1 9593.75 10352.94 0.953960167 2.14 +2 9593.88 10775.85 1.11456269 2.14 +4 9592.7 6065.86 0.693858775 2.14 +5 9590.92 12072.9 0.582237065 2.14 +6 9591.2 6075.94 0.551035389 2.14 +1 8289.88 8963.98 0.31394267 2.34 +2 8290.13 9339.99 0.29238673 2.34 +4 8289.11 5334.52 0.306528955 2.34 +5 8288.14 10430.94 0.486456576 2.34 +6 8288.09 5367.63 0.349871405 2.34 +1 8287.88 8962.06 0.339764624 2.34 +2 8288.62 9337.28 0.28135387 2.34 +4 8287.62 5333.33 0.18817545 2.34 +5 8287.48 10427.82 0.52721912 2.34 +6 8287.34 5367.4 0.258843582 2.34 +1 8286.36 8961.17 0.293955779 2.34 +2 8286.59 9335 0.368239053 2.34 +4 8286.4 5332.19 0.290327401 2.34 +5 8285.79 10425.54 0.284675254 2.34 +6 8284.58 5365.49 0.188387898 2.34 +1 7147.01 7743 0.247386338 2.57 +2 7146.12 8073.32 0.192769292 2.57 +4 7145.86 4679.489 0.0833360666 2.57 +5 7146.1 8983.56 0.26046113 2.57 +6 7145.93 4730.241 0.108861839 2.57 +1 7144.6 7741.27 0.24861617 2.57 +2 7145.11 8073.04 0.215034881 2.57 +4 7145.2 4679.151 0.0909884608 2.57 +5 7144.31 8981.84 0.101192885 2.57 +6 7143.32 4728.67 0.10198039 2.57 +1 7142.23 7737.95 0.152479507 2.57 +2 7142.83 8069.15 0.189868375 2.57 +4 7142.99 4678.455 0.108252021 2.57 +5 7142.63 8979.72 0.248112878 2.57 +6 7142.63 4727.892 0.124874337 2.57 +1 6221.25 6750.03 0.224521714 2.82 +2 6220.85 7044.66 0.128218563 2.82 +4 6220.58 4142.415 0.100630512 2.82 +5 6220.62 7813.39 0.203690942 2.82 +6 6220.3 4202.127 0.0979801 2.82 +1 6219.11 6747.97 0.202014851 2.82 +2 6218.99 7042.46 0.263134946 2.82 +4 6219.65 4141.747 0.127122382 2.82 +5 6219.78 7811.49 0.227793766 2.82 +6 6219.2 4201.297 0.0683234952 2.82 +1 6218.71 6747.26 0.278639552 2.82 +2 6219.05 7042.51 0.267001873 2.82 +4 6219.09 4141.513 0.0529159711 2.82 +5 6218.89 7810.7 0.208326667 2.82 +6 6218.37 4200.823 0.119950406 2.82 +1 5442.66 5910.67 0.250619233 3.09 +2 5441.65 6174.89 0.306740933 3.09 +4 5441.29 3682.756 0.0655164102 3.09 +5 5440.68 6826.11 0.250778787 3.09 +6 5440.8 3747.293 0.0942448938 3.09 +1 5439.48 5908.19 0.251575039 3.09 +2 5439.56 6173 0.225831796 3.09 +4 5440.09 3682.144 0.0939595658 3.09 +5 5440.13 6824.33 0.219111844 3.09 +6 5439.38 3746.494 0.0576576101 3.09 +1 5438.94 5907.31 0.153264477 3.09 +2 5438.8 6172.71 0.194653538 3.09 +4 5439.1 3681.108 0.106158372 3.09 +5 5438.55 6823.5 0.26 3.09 +6 5438.06 3745.144 0.0954798408 3.09 +1 4790.663 5207.84 0.301396748 3.38 +2 4789.847 5445.77 0.321263132 3.38 +4 4789.645 3293.657 0.0812163777 3.38 +5 4789.472 6002.54 0.228997817 3.38 +6 4789.153 3359.29 0.0733757453 3.38 +1 4788.884 5205.75 0.295719462 3.38 +2 4788.724 5445.14 0.267282622 3.38 +4 4788.662 3292.958 0.0750306604 3.38 +5 4788.891 6002.24 0.201593651 3.38 +6 4788.854 3359.081 0.0646289409 3.38 +1 4788.434 5205.61 0.150632002 3.38 +2 4788.02 5443.9 0.148996644 3.38 +4 4787.738 3292.426 0.0541331691 3.38 +5 4787.825 6000.37 0.179471446 3.38 +6 4787.832 3358.338 0.106843811 3.38 +1 4219.835 4585.926 0.0572573139 3.71 +2 4219.575 4801.996 0.0694146959 3.71 +4 4219.187 2946.53 0.0550999093 3.71 +5 4218.864 5279.13 0.360846228 3.71 +6 4218.691 3011.45 0.0842733647 3.71 +1 4218.652 4584.972 0.0662238628 3.71 +2 4218.417 4800.803 0.083582893 3.71 +4 4218.206 2945.941 0.058965244 3.71 +5 4218.315 5278.53 0.236664319 3.71 +6 4218.385 3011.169 0.0954824591 3.71 +1 4218.024 4584.175 0.0687931683 3.71 +2 4217.843 4799.751 0.0812582304 3.71 +4 4217.475 2945.396 0.0997316399 3.71 +5 4217.022 5276.29 0.200723691 3.71 +6 4216.951 3010.086 0.0614198665 3.71 +1 3752.418 4076.745 0.0559687413 4.07 +2 3752.076 4273.319 0.100094455 4.07 +4 3751.525 2657.94 0.0670074623 4.07 +5 3751.233 4682.948 0.0688302259 4.07 +6 3750.814 2719.929 0.0582829306 4.07 +1 3750.76 4074.979 0.0691006512 4.07 +2 3750.609 4271.673 0.0800381159 4.07 +4 3750.275 2657.236 0.0662449998 4.07 +5 3749.97 4681.717 0.0647000773 4.07 +6 3749.668 2719.183 0.0598172216 4.07 +1 3749.532 4073.678 0.0799849986 4.07 +2 3749.41 4270.321 0.0684024853 4.07 +4 3749.23 2656.62 0.107582526 4.07 +5 3749.031 4680.485 0.0779775609 4.07 +6 3748.814 2718.758 0.0928310293 4.07 +1 3362.297 3650.303 0.0747402168 4.46 +2 3362.088 3830.701 0.0541377872 4.46 +4 3361.764 2413.829 0.0437138422 4.46 +5 3361.499 4187.832 0.0818144242 4.46 +6 3361.342 2472.757 0.101351369 4.46 +1 3360.946 3648.681 0.061570285 4.46 +2 3360.862 3829.41 0.0883742044 4.46 +4 3360.765 2413.221 0.0811473968 4.46 +5 3360.806 4187.144 0.0641435889 4.46 +6 3360.567 2472.38 0.0585662019 4.46 +1 3360.272 3648.017 0.0495186833 4.46 +2 3360.141 3828.91 0.0644515322 4.46 +4 3359.951 2412.755 0.0844304447 4.46 +5 3359.879 4186.355 0.0702032763 4.46 +6 3359.828 2472.144 0.0812551537 4.46 +1 3030.269 3286.006 0.0768400937 4.89 +2 3029.934 3452.433 0.0661369791 4.89 +4 3029.432 2202.872 0.0530622276 4.89 +5 3029.103 3765.593 0.0683527615 4.89 +6 3028.915 2258.147 0.0655293827 4.89 +1 3028.846 3284.523 0.101578049 4.89 +2 3028.853 3451.306 0.081292066 4.89 +4 3028.543 2202.465 0.0792496057 4.89 +5 3028.421 3764.751 0.0590330416 4.89 +6 3028.283 2257.758 0.0744687854 4.89 +1 3028.052 3283.89 0.0591607978 4.89 +2 3028.115 3450.643 0.0977348454 4.89 +4 3027.948 2201.882 0.066660333 4.89 +5 3027.907 3763.884 0.0706286061 4.89 +6 3027.767 2257.31 0.114052619 4.89 +1 2744.021 2971.42 0.0721664742 5.36 +2 2743.695 3125.444 0.0869620607 5.36 +4 2743.389 2018.96 0.0677642974 5.36 +5 2743.008 3401.642 0.0692502708 5.36 +6 2742.626 2070.142 0.0751638211 5.36 +1 2742.71 2970.095 0.0637220527 5.36 +2 2742.598 3124.271 0.0839696374 5.36 +4 2742.556 2018.474 0.0674566527 5.36 +5 2742.461 3400.568 0.103564473 5.36 +6 2742.062 2069.688 0.0664499812 5.36 +1 2741.942 2969.225 0.0511321816 5.36 +2 2741.876 3123.613 0.0922393625 5.36 +4 2741.611 2018.06 0.0761051904 5.36 +5 2741.481 3399.861 0.0762948229 5.36 +6 2741.546 2069.378 0.0646343562 5.36 +1 2491.94 2693.912 0.049614514 5.88 +2 2491.683 2836.905 0.0684434073 5.88 +4 2491.23 1855.196 0.0692560467 5.88 +5 2491.04 3080.969 0.0819322891 5.88 +6 2490.978 1902.191 0.0765826351 5.88 +1 2490.709 2692.472 0.0901975609 5.88 +2 2490.689 2835.791 0.0745312015 5.88 +4 2490.429 1854.986 0.0750759615 5.88 +5 2490.264 3080.196 0.0816725168 5.88 +6 2489.984 1901.536 0.0780153831 5.88 +1 2490.098 2691.721 0.045966292 5.88 +2 2490.206 2835.21 0.0684689711 5.88 +4 2490.063 1854.461 0.0665950449 5.88 +5 2489.961 3079.573 0.0589414964 5.88 +6 2489.868 1901.269 0.0582142594 5.88 +1 2268.612 2447.382 0.0697538529 6.45 +2 2268.353 2580.734 0.0690101442 6.45 +4 2268.074 1708.548 0.0355752723 6.45 +5 2267.787 2796.961 0.0548898898 6.45 +6 2267.768 1750.835 0.0533338542 6.45 +1 2267.579 2445.923 0.0657274676 6.45 +2 2267.402 2579.564 0.0565720779 6.45 +4 2267.249 1708.042 0.0962579867 6.45 +5 2267.163 2796.095 0.0656848537 6.45 +6 2267.13 1750.469 0.0495671262 6.45 +1 2267.026 2445.526 0.056217435 6.45 +2 2266.884 2578.831 0.0756894973 6.45 +4 2266.722 1707.676 0.0756994055 6.45 +5 2266.593 2795.515 0.0473761543 6.45 +6 2266.325 1750.212 0.0465360076 6.45 +1 2071.218 2229.076 0.072113799 7.07 +2 2070.906 2353.531 0.0735452242 7.07 +4 2070.926 1576.781 0.0295110149 7.07 +5 2070.869 2546.07 0.0483321839 7.07 +6 2070.407 1615.301 0.0660371108 7.07 +1 2070.201 2227.934 0.063924956 7.07 +2 2070.122 2352.421 0.0775299942 7.07 +4 2069.962 1576.265 0.025029982 7.07 +5 2070.058 2545.425 0.101284253 7.07 +6 2069.924 1614.635 0.0791233215 7.07 +1 2069.513 2227.287 0.0960109369 7.07 +2 2069.477 2352.029 0.0588294144 7.07 +4 2069.548 1575.987 0.0153003268 7.07 +5 2069.449 2544.593 0.0652694415 7.07 +6 2069.273 1614.493 0.0531234412 7.07 +1 1895.284 2034.654 0.0640499805 7.75 +2 1895.216 2151.093 0.0524223235 7.75 +4 1895.277 1458.796 0.0249078301 7.75 +5 1895.05 2322.886 0.0768010417 7.75 +6 1894.778 1492.24 0.0259229628 7.75 +1 1894.421 2033.369 0.0784786595 7.75 +2 1894.337 2150.117 0.0860935538 7.75 +4 1894.475 1458.258 0.0361330873 7.75 +5 1894.488 2321.862 0.0610376933 7.75 +6 1894.334 1491.927 0.0361676651 7.75 +1 1894.035 2032.942 0.0884058822 7.75 +2 1893.901 2149.641 0.0868268392 7.75 +4 1893.975 1458.053 0.0156236999 7.75 +5 1893.935 2321.373 0.074780345 7.75 +6 1893.864 1491.591 0.0301147804 7.75 +1 1737.981 1860.194 0.0376881944 8.50 +2 1737.678 1969.159 0.066294042 8.50 +4 1737.516 1351.841 0.0357057418 8.50 +5 1737.482 2122.763 0.0636089616 8.50 +6 1737.459 1381.171 0.0290671636 8.50 +1 1737.166 1859.243 0.0680595328 8.50 +2 1736.996 1968.36 0.0501796772 8.50 +4 1737.012 1351.428 0.0214848784 8.50 +5 1736.888 2122.044 0.0437309959 8.50 +6 1736.718 1380.76 0.0391663121 8.50 +1 1736.712 1858.623 0.0642347258 8.50 +2 1736.601 1967.928 0.0602129554 8.50 +4 1736.622 1351.134 0.0313432608 8.50 +5 1736.671 2121.501 0.0898493183 8.50 +6 1736.56 1380.537 0.0334678951 8.50 +1 1596.13 1703.038 0.0889696577 9.32 +2 1595.797 1805.383 0.0653766013 9.32 +4 1595.695 1254.489 0.0260173019 9.32 +5 1595.572 1942.623 0.056745925 9.32 +6 1595.459 1279.822 0.0472398137 9.32 +1 1595.218 1702.18 0.0674981481 9.32 +2 1595.192 1804.763 0.0764467135 9.32 +4 1595.171 1254.103 0.0269091063 9.32 +5 1594.984 1941.929 0.100989603 9.32 +6 1595.1 1279.515 0.0279732015 9.32 +1 1594.773 1701.633 0.0447671755 9.32 +2 1594.773 1804.162 0.0835918656 9.32 +4 1594.763 1253.881 0.0173464694 9.32 +5 1594.696 1941.619 0.0684463293 9.32 +6 1594.826 1279.256 0.0346756399 9.32 +1 1469.408 1563.049 0.0305434117 10.20 +2 1469.169 1659.968 0.0437675679 10.20 +4 1469.024 1167.21 0.0167928556 10.20 +5 1468.903 1782.999 0.100353874 10.20 +6 1468.8 1188.724 0.0216887067 10.20 +1 1468.704 1562.145 0.0223718573 10.20 +2 1468.616 1659.364 0.0740702369 10.20 +4 1468.521 1166.855 0.0231624696 10.20 +5 1468.423 1782.428 0.119589297 10.20 +6 1468.379 1188.43 0.0221359436 10.20 +1 1468.294 1561.821 0.0240187427 10.20 +2 1468.248 1658.765 0.0637377439 10.20 +4 1468.182 1166.575 0.0144395291 10.20 +5 1468.125 1781.943 0.0556246348 10.20 +6 1468.164 1188.291 0.0134499071 10.20 +1 1351.237 1432.466 0.0175042852 11.20 +2 1351.058 1522.829 0.0287906235 11.20 +4 1350.816 1084.433 0.0160031247 11.20 +5 1350.654 1633.664 0.0996915242 11.20 +6 1350.563 1102.369 0.0179694185 11.20 +1 1350.508 1431.566 0.0293666477 11.20 +2 1350.378 1522.071 0.0245540221 11.20 +4 1350.234 1083.979 0.0229543024 11.20 +5 1350.12 1633.202 0.0528734338 11.20 +6 1350.055 1101.939 0.0230412673 11.20 +1 1349.979 1431.04 0.020880613 11.20 +2 1349.991 1521.589 0.0301147804 11.20 +4 1349.942 1083.733 0.00949210198 11.20 +5 1349.765 1632.697 0.0980209161 11.20 +6 1349.678 1101.696 0.0188255146 11.20 +1 1243.531 1313.685 0.0282577423 12.30 +2 1243.375 1398.573 0.0194447936 12.30 +4 1243.235 1008.337 0.0197509493 12.30 +5 1243.139 1497.541 0.0231711027 12.30 +6 1242.959 1022.892 0.0294210809 12.30 +1 1242.77 1312.843 0.0213564978 12.30 +2 1242.712 1397.953 0.0230672929 12.30 +4 1242.705 1007.988 0.031931176 12.30 +5 1242.695 1496.965 0.0319765539 12.30 +6 1242.621 1022.621 0.0129961533 12.30 +1 1242.497 1312.545 0.0224165118 12.30 +2 1242.464 1397.551 0.0205158475 12.30 +4 1242.331 1007.691 0.0306088223 12.30 +5 1242.326 1496.429 0.0193106188 12.30 +6 1242.246 1022.351 0.022020445 12.30 +1 1146.503 1206.868 0.0205329004 13.50 +2 1146.293 1286.898 0.02252998 13.50 +4 1146.123 938.997 0.0182784026 13.50 +5 1146.067 1375.621 0.0134499071 13.50 +6 1145.999 950.624 0.0160124951 13.50 +1 1145.804 1206.154 0.0184499322 13.50 +2 1145.723 1286.245 0.0267301328 13.50 +4 1145.655 938.596 0.0224142812 13.50 +5 1145.581 1375.075 0.0281868764 13.50 +6 1145.506 950.301 0.0400112484 13.50 +1 1145.449 1205.711 0.0106254412 13.50 +2 1145.422 1285.886 0.0226362541 13.50 +4 1145.347 938.394 0.0244622158 13.50 +5 1145.304 1374.678 0.0288721319 13.50 +6 1145.286 950.086 0.035810613 13.50 +1 1058.338 1110.289 0.0128413395 14.80 +2 1058.187 1185.664 0.0244622158 14.80 +4 1058.053 875.333 0.0183330303 14.80 +5 1057.916 1265.422 0.0207267943 14.80 +6 1057.796 884.376 0.0300399734 14.80 +1 1057.695 1109.591 0.03103063 14.80 +2 1057.627 1185.025 0.0288530761 14.80 +4 1057.581 874.998 0.0224410338 14.80 +5 1057.543 1264.877 0.0151029798 14.80 +6 1057.455 884.056 0.0204058815 14.80 +1 1057.396 1109.21 0.0207846097 14.80 +2 1057.337 1184.651 0.0258244071 14.80 +4 1057.248 874.764 0.027466343 14.80 +5 1057.157 1264.561 0.0223360695 14.80 +6 1057.126 883.891 0.0253554728 14.80 +1 978.811 1023.415 0.0270277635 16.20 +2 978.652 1094.516 0.0199599599 16.20 +4 978.539 817.368 0.0171930218 16.20 +5 978.448 1166.467 0.0227618101 16.20 +6 978.34 824.079 0.0254342289 16.20 +1 978.22 1022.714 0.0213166602 16.20 +2 978.11 1093.917 0.0205450724 16.20 +4 978.047 817.001 0.0191023559 16.20 +5 978.032 1166.007 0.0235393288 16.20 +6 978.001 823.851 0.0216540989 16.20 +1 977.899 1022.369 0.023641066 16.20 +2 977.843 1093.528 0.0186440339 16.20 +4 977.777 816.821 0.0194653538 16.20 +5 977.745 1165.565 0.016507574 16.20 +6 977.668 823.605 0.0197610728 16.20 +1 902.55 940.417 0.0158776573 17.80 +2 902.421 1007.349 0.0280517379 17.80 +4 902.236 761.102 0.0211565593 17.80 +5 902.133 1071.939 0.0149966663 17.80 +6 902.047 765.821 0.0161523992 17.80 +1 901.882 939.821 0.0240603408 17.80 +2 901.882 1006.807 0.0298680431 17.80 +4 901.782 760.767 0.0233687826 17.80 +5 901.717 1071.455 0.0272855273 17.80 +6 901.661 765.557 0.014003571 17.80 +1 901.615 939.414 0.020356817 17.80 +2 901.562 1006.394 0.0254243977 17.80 +4 901.476 760.543 0.0250619233 17.80 +5 901.46 1071.137 0.0225410736 17.80 +6 901.391 765.293 0.0197509493 17.80 +1 834.4 866.618 0.0173666347 19.50 +2 834.257 929.821 0.0236833275 19.50 +4 834.092 710.361 0.034159918 19.50 +5 834.009 988.034 0.0251077677 19.50 +6 833.924 713.374 0.0277200289 19.50 +1 833.849 866.103 0.0137876757 19.50 +2 833.77 929.305 0.0357561184 19.50 +4 833.718 710.043 0.0291221565 19.50 +5 833.627 987.592 0.0219909072 19.50 +6 833.508 713.024 0.0229434086 19.50 +1 833.507 865.694 0.0183956517 19.50 +2 833.524 928.875 0.0157003185 19.50 +4 833.403 709.78 0.0266833281 19.50 +5 833.336 987.131 0.0260940606 19.50 +6 833.282 712.893 0.0214499417 19.50 +1 770.001 797.424 0.0219180291 21.40 +2 769.897 856.916 0.0176181724 21.40 +4 769.763 661.87 0.0364417343 21.40 +5 769.688 909.216 0.0196570598 21.40 +6 769.588 663.453 0.0154951605 21.40 +1 769.485 796.828 0.0232723011 21.40 +2 769.448 856.334 0.0237991596 21.40 +4 769.38 661.587 0.0164347193 21.40 +5 769.281 908.738 0.0200897984 21.40 +6 769.205 663.231 0.0202212759 21.40 +1 769.136 796.577 0.0104928547 21.40 +2 769.152 856.015 0.0290602822 21.40 +4 769.072 661.35 0.0282488938 21.40 +5 769.025 908.388 0.0227508242 21.40 +6 769.013 663.047 0.0192379833 21.40 +1 712.759 736.111 0.021234406 23.40 +2 712.618 792.239 0.0301147804 23.40 +4 712.516 618.237 0.028286039 23.40 +5 712.437 839.446 0.0195550505 23.40 +6 712.326 618.818 0.0130230565 23.40 +1 712.237 735.573 0.0218197159 23.40 +2 712.174 791.715 0.0341247711 23.40 +4 712.124 617.954 0.0144360659 23.40 +5 712.069 839.015 0.0221020361 23.40 +6 711.959 618.509 0.0294091822 23.40 +1 711.92 735.281 0.0245132617 23.40 +2 711.902 791.391 0.0221562632 23.40 +4 711.844 617.759 0.0174040225 23.40 +5 711.79 838.689 0.0248777009 23.40 +6 711.731 618.309 0.0257856549 23.40 +1 657.069 676.867 0.030101495 25.70 +2 656.893 729.53 0.0241660919 25.70 +4 656.776 575.301 0.0241018671 25.70 +5 656.672 771.949 0.0292728543 25.70 +6 656.573 574.946 0.020307634 25.70 +1 656.471 676.286 0.0198595065 25.70 +2 656.442 729.037 0.0222733024 25.70 +4 656.336 574.936 0.02691468 25.70 +5 656.234 771.479 0.0196697738 25.70 +6 656.209 574.675 0.016507574 25.70 +1 656.124 675.929 0.028193971 25.70 +2 656.105 728.682 0.0332505639 25.70 +4 656.073 574.753 0.0147003401 25.70 +5 656.016 771.142 0.0122311079 25.70 +6 655.978 574.465 0.0272121296 25.70 +1 605.75 622.609 0.027944588 28.20 +2 605.63 672.212 0.0192249837 28.20 +4 605.491 535.309 0.0182455474 28.20 +5 605.43 710.263 0.0267600448 28.20 +6 605.374 534.41 0.0271661554 28.20 +1 605.301 622.141 0.0197711912 28.20 +2 605.262 671.744 0.0160124951 28.20 +4 605.138 535.076 0.022680388 28.20 +5 605.09 709.86 0.02310844 28.20 +6 605.021 534.161 0.0226914081 28.20 +1 604.99 621.849 0.0180803761 28.20 +2 604.913 671.411 0.0254342289 28.20 +4 604.896 534.884 0.027971414 28.20 +5 604.872 709.652 0.016297239 28.20 +6 604.823 534.022 0.0241991735 28.20 +1 558.977 573.481 0.0165801086 30.90 +2 558.846 620.032 0.0229259678 30.90 +4 558.795 498.3337 0.00692538808 30.90 +5 558.758 654.39 0.0256515107 30.90 +6 558.673 497.039 0.0061367744 30.90 +1 558.529 573.021 0.023767625 30.90 +2 558.455 619.66 0.0177763888 30.90 +4 558.45 498.037 0.00870861642 30.90 +5 558.428 653.992 0.0159248234 30.90 +6 558.347 496.7684 0.0110156253 30.90 +1 558.304 572.728 0.0244458585 30.90 +2 558.22 619.281 0.0149298359 30.90 +4 558.187 497.8463 0.0108434773 30.90 +5 558.157 653.639 0.0169970586 30.90 +6 558.076 496.5092 0.00789911387 30.90 +1 516.144 528.743 0.0251017928 33.80 +2 516.074 572.525 0.0259711378 33.80 +4 515.996 464.1535 0.0097316494 33.80 +5 515.923 603.472 0.024240462 33.80 +6 515.873 462.6929 0.0111062595 33.80 +1 515.778 528.321 0.0292728543 33.80 +2 515.685 572.147 0.0213096222 33.80 +4 515.619 463.8849 0.00730814614 33.80 +5 515.592 603.036 0.0192457788 33.80 +6 515.531 462.4491 0.00779159804 33.80 +1 515.458 527.992 0.0152184099 33.80 +2 515.383 571.851 0.020709901 33.80 +4 515.409 463.7105 0.00924689137 33.80 +5 515.375 602.824 0.00695701085 33.80 +6 515.354 462.2836 0.00535014019 33.80 +1 474.8701 485.8708 0.00813363387 37.10 +2 474.7847 527.078 0.028628657 37.10 +4 474.6948 430.9307 0.00920440112 37.10 +5 474.6119 554.798 0.0196875595 37.10 +6 474.545 429.4353 0.0080000625 37.10 +1 474.4704 485.4299 0.00525823164 37.10 +2 474.4054 526.695 0.0276857364 37.10 +4 474.3361 430.6701 0.00855154957 37.10 +5 474.2923 554.473 0.0270942798 37.10 +6 474.2436 429.1891 0.00674603587 37.10 +1 474.1947 485.1383 0.00513819034 37.10 +2 474.1542 526.39 0.0292232784 37.10 +4 474.1199 430.4726 0.00596355599 37.10 +5 474.0833 554.091 0.0222912539 37.10 +6 474.0088 429.0094 0.00928353381 37.10 +1 436.9099 446.6131 0.0086214268 40.70 +2 436.8153 485.0718 0.00641217592 40.70 +4 436.7268 399.9142 0.00720527584 40.70 +5 436.6173 510.089 0.0302473139 40.70 +6 436.527 398.4623 0.00836187778 40.70 +1 436.4748 446.1784 0.00543911758 40.70 +2 436.4085 484.6341 0.00777103597 40.70 +4 436.3506 399.5999 0.00751724684 40.70 +5 436.288 509.693 0.0310821492 40.70 +6 436.2263 398.228 0.00697423831 40.70 +1 436.1626 445.864 0.0101577557 40.70 +2 436.1517 484.3349 0.00818834538 40.70 +4 436.1111 399.4041 0.0095639427 40.70 +5 436.0584 509.376 0.0292643127 40.70 +6 436.0072 398.052 0.0055767374 40.70 +1 402.0399 410.798 0.00828371897 44.60 +2 401.947 446.7592 0.00854494002 44.60 +4 401.8672 371.091 0.00773045924 44.60 +5 401.7946 469.047 0.00611555394 44.60 +6 401.7313 369.9268 0.0100317496 44.60 +1 401.6475 410.3882 0.00599966666 44.60 +2 401.6093 446.3994 0.0100818649 44.60 +4 401.5633 370.8361 0.00623931086 44.60 +5 401.5134 468.7256 0.00555013513 44.60 +6 401.456 369.6833 0.00588396125 44.60 +1 401.4114 410.157 0.00652380257 44.60 +2 401.3959 446.1694 0.0108877913 44.60 +4 401.376 370.6798 0.0113831454 44.60 +5 401.3475 468.5072 0.00698111739 44.60 +6 401.326 369.5733 0.00424040092 44.60 +1 369.774 377.7704 0.00785264287 48.90 +2 369.6755 411.3841 0.00856557062 48.90 +4 369.5752 344.1034 0.00862461593 48.90 +5 369.4865 431.3173 0.00867991935 48.90 +6 369.4088 343.1652 0.00564233994 48.90 +1 369.3175 377.311 0.00791580697 48.90 +2 369.2612 410.9522 0.00610213078 48.90 +4 369.1947 343.7829 0.00809376303 48.90 +5 369.1438 430.9235 0.00843237808 48.90 +6 369.1056 342.9338 0.0051260121 48.90 +1 369.0525 377.0245 0.00449499722 48.90 +2 369.0375 410.6707 0.00717641972 48.90 +4 368.9892 343.6193 0.00909950548 48.90 +5 368.936 430.6912 0.00647888879 48.90 +6 368.9 342.7668 0.00992753746 48.90 +1 340.116 347.558 0.0113022122 53.60 +2 339.9784 378.913 0.010633908 53.60 +4 339.8515 318.9847 0.00578454838 53.60 +5 339.7403 396.7116 0.0107890685 53.60 +6 339.6288 318.3396 0.00417420651 53.60 +1 339.5085 346.9393 0.00819640165 53.60 +2 339.4191 378.3076 0.00751159104 53.60 +4 339.3447 318.5422 0.00753763889 53.60 +5 339.2632 396.1673 0.00729115903 53.60 +6 339.1933 317.9729 0.00615215409 53.60 +1 339.1093 346.5377 0.00716665891 53.60 +2 339.05 377.9039 0.00856206751 53.60 +4 338.989 318.2666 0.00610606256 53.60 +5 338.9483 395.7939 0.00991811474 53.60 +6 338.8971 317.7301 0.00348267139 53.60 +1 312.3999 319.3999 0.00855739446 58.80 +2 312.2623 348.6489 0.0130778056 58.80 +4 312.1263 295.3115 0.00764493296 58.80 +5 312.008 364.5493 0.00735669763 58.80 +6 311.9105 295.0225 0.00795267251 58.80 +1 311.7886 318.7668 0.00956953499 58.80 +2 311.6983 348.0262 0.00609885235 58.80 +4 311.6125 294.8444 0.00798398397 58.80 +5 311.533 363.9717 0.00912365059 58.80 +6 311.451 294.661 0.00558569602 58.80 +1 311.3659 318.3515 0.00718226984 58.80 +2 311.3048 347.5943 0.00966545395 58.80 +4 311.2547 294.5556 0.00811935958 58.80 +5 311.198 363.5881 0.0084005357 58.80 +6 311.1353 294.3606 0.00485015464 58.80 +1 287.0246 293.7097 0.00501208539 64.50 +2 286.8863 320.9444 0.0104644159 64.50 +4 286.7713 273.4021 0.00587783974 64.50 +5 286.6485 335.1506 0.00928891813 64.50 +6 286.5456 273.4871 0.00797176267 64.50 +1 286.4063 293.0784 0.00530320658 64.50 +2 286.323 320.3253 0.00736077442 64.50 +4 286.2438 272.9359 0.0102307869 64.50 +5 286.1688 334.604 0.00578446195 64.50 +6 286.0791 273.0799 0.00715604639 64.50 +1 285.9956 292.6572 0.00673023031 64.50 +2 285.923 319.8942 0.00912447259 64.50 +4 285.8532 272.6235 0.00674129068 64.50 +5 285.7988 334.1887 0.00528403255 64.50 +6 285.7478 272.8164 0.00901687307 64.50 +1 263.6528 270.0929 0.012714126 70.70 +2 263.5279 295.4484 0.00904676738 70.70 +4 263.4242 253.0249 0.00837669386 70.70 +5 263.3168 308.1866 0.0096158203 70.70 +6 263.2188 253.4981 0.00652449232 70.70 +1 263.0848 269.515 0.01 70.70 +2 262.9926 294.8782 0.00638717465 70.70 +4 262.9022 252.5937 0.00776665951 70.70 +5 262.8182 307.6327 0.00864528773 70.70 +6 262.7546 253.0942 0.00570753887 70.70 +1 262.6596 269.1021 0.00756762843 70.70 +2 262.6014 294.4426 0.00446810922 70.70 +4 262.5444 252.2742 0.00523029636 70.70 +5 262.4798 307.2388 0.00918237442 70.70 +6 262.4297 252.824 0.00615304803 70.70 +1 242.0287 248.2675 0.00802402642 77.50 +2 241.9209 271.8473 0.0119390536 77.50 +4 241.8028 233.948 0.0113973681 77.50 +5 241.6745 283.1943 0.0102157232 77.50 +6 241.5606 234.7708 0.00830397495 77.50 +1 241.4513 247.6981 0.00515839122 77.50 +2 241.3695 271.2608 0.00598965775 77.50 +4 241.2806 233.5074 0.00667263067 77.50 +5 241.1925 282.6592 0.0103680278 77.50 +6 241.1224 234.3899 0.00860168588 77.50 +1 241.0493 247.2932 0.00913652013 77.50 +2 240.9865 270.8357 0.00555526777 77.50 +4 240.9163 233.2053 0.00738247926 77.50 +5 240.8583 282.2605 0.00673238442 77.50 +6 240.8127 234.0933 0.00492757547 77.50 +1 221.7867 227.8743 0.00512845006 85.00 +2 221.6751 249.7335 0.00448831817 85.00 +4 221.573 215.9613 0.00506566876 85.00 +5 221.4674 259.8751 0.00697775035 85.00 +6 221.3652 217.098 0.00858836422 85.00 +1 221.2564 227.3554 0.00449488598 85.00 +2 221.1753 249.2046 0.00788187795 85.00 +4 221.1118 215.5618 0.00536246212 85.00 +5 221.0299 259.3766 0.0113059276 85.00 +6 220.9483 216.7454 0.00984296703 85.00 +1 220.8672 226.9763 0.00744184117 85.00 +2 220.8146 248.8108 0.0060511156 85.00 +4 220.7646 215.2552 0.00601464878 85.00 +5 220.7136 259.006 0.0118220134 85.00 +6 220.6594 216.4628 0.00907281654 85.00 +1 203.1598 209.1524 0.00785518937 93.20 +2 203.0483 229.3881 0.00628243583 93.20 +4 202.9488 199.2403 0.00866954439 93.20 +5 202.8716 238.4321 0.00711540582 93.20 +6 202.7909 200.6804 0.00925548486 93.20 +1 202.6773 208.6587 0.00778337973 93.20 +2 202.6036 228.8833 0.00730759878 93.20 +4 202.538 198.8421 0.00678888798 93.20 +5 202.4619 237.9676 0.00489530387 93.20 +6 202.398 200.331 0.00665732679 93.20 +1 202.3228 208.3106 0.00643148505 93.20 +2 202.2682 228.5246 0.00603025704 93.20 +4 202.2233 198.5619 0.0065428587 93.20 +5 202.1751 237.6055 0.0119860335 93.20 +6 202.1221 200.0724 0.00673379536 93.20 +1 186.2421 192.1288 0.0109825316 102.00 +2 186.1499 210.8661 0.00927626002 102.00 +4 186.0664 183.8891 0.0102629918 102.00 +5 185.9823 218.9394 0.0124781409 102.00 +6 185.898 185.5952 0.0091485518 102.00 +1 185.8008 191.6867 0.00832111771 102.00 +2 185.7317 210.4162 0.00759973684 102.00 +4 185.6546 183.5357 0.00853703696 102.00 +5 185.5909 218.5192 0.0108552292 102.00 +6 185.5439 185.268 0.00705124103 102.00 +1 185.4612 191.3441 0.0116150334 102.00 +2 185.4121 210.0814 0.00405758549 102.00 +4 185.3625 183.2763 0.0048146651 102.00 +5 185.3083 218.1887 0.00649160997 102.00 +6 185.276 185.0343 0.00902225027 102.00 +1 170.1195 175.9025 0.00822830481 112.00 +2 170.0412 193.196 0.0103014562 112.00 +4 169.9531 169.1323 0.00879664709 112.00 +5 169.8697 200.364 0.00943716059 112.00 +6 169.7917 171.0673 0.00705556518 112.00 +1 169.7086 175.4916 0.00516759132 112.00 +2 169.6454 192.7559 0.00883227038 112.00 +4 169.5724 168.8025 0.0073256399 112.00 +5 169.504 199.9583 0.00795870592 112.00 +6 169.4505 170.7548 0.00711168053 112.00 +1 169.3848 175.1843 0.00614174242 112.00 +2 169.3302 192.4279 0.00605384176 112.00 +4 169.2867 168.5508 0.0090606843 112.00 +5 169.2538 199.6404 0.00969659734 112.00 +6 169.2147 170.5204 0.00787680138 112.00 +1 155.1972 160.9649 0.00831438512 123.00 +2 155.1072 176.8738 0.0118935277 123.00 +4 155.0311 155.3388 0.00343161769 123.00 +5 154.9598 183.2225 0.0128446487 123.00 +6 154.8913 157.4589 0.00357896633 123.00 +1 154.8031 160.5692 0.0104343663 123.00 +2 154.731 176.4724 0.0133844686 123.00 +4 154.6759 155.0158 0.0031931176 123.00 +5 154.6223 182.8236 0.0155930754 123.00 +6 154.5702 157.1638 0.00361054013 123.00 +1 154.4987 160.2757 0.0084522778 123.00 +2 154.4553 176.1374 0.00946805154 123.00 +4 154.4164 154.7622 0.00161121072 123.00 +5 154.3734 182.5257 0.00929306193 123.00 +6 154.3343 156.9406 0.00287819388 123.00 +1 141.487 147.1067 0.00351297595 135.00 +2 141.4124 161.7902 0.0124312509 135.00 +4 141.3421 142.5615 0.00198620241 135.00 +5 141.2743 167.3963 0.0083881464 135.00 +6 141.2136 144.8319 0.00412662089 135.00 +1 141.1395 146.7511 0.00267001873 135.00 +2 141.0804 161.4261 0.0107335455 135.00 +4 141.0301 142.262 0.00275317998 135.00 +5 140.9786 167.0527 0.0132552254 135.00 +6 140.9299 144.5672 0.00229259678 135.00 +1 140.8749 146.4846 0.00331119314 135.00 +2 140.83 161.145 0.0076694198 135.00 +4 140.7857 142.0453 0.00234968083 135.00 +5 140.7457 166.804 0.00736613874 135.00 +6 140.7123 144.3645 0.00169852878 135.00 +1 129.0991 134.6335 0.00497443464 148.00 +2 129.0285 148.064 0.00331360831 148.00 +4 128.9657 130.9023 0.00366073763 148.00 +5 128.9052 153.0177 0.00305957513 148.00 +6 128.8403 133.2778 0.00208230641 148.00 +1 128.7681 134.2933 0.00276423588 148.00 +2 128.7166 147.7217 0.0019851952 148.00 +4 128.6689 130.6199 0.00202706685 148.00 +5 128.6227 152.6888 0.00225743217 148.00 +6 128.5746 133.0285 0.00149833241 148.00 +1 128.5126 134.0444 0.0029906521 148.00 +2 128.4783 147.4545 0.00403050865 148.00 +4 128.444 130.4082 0.0041080409 148.00 +5 128.4048 152.4416 0.00227244362 148.00 +6 128.3667 132.8365 0.00237170825 148.00 +1 117.8472 123.2951 0.00297808663 162.00 +2 117.7845 135.6312 0.00442899537 162.00 +4 117.7228 120.2248 0.00367096718 162.00 +5 117.6644 140.0043 0.00340602408 162.00 +6 117.6122 122.6816 0.00313751494 162.00 +1 117.5445 122.9872 0.00332505639 162.00 +2 117.4946 135.3115 0.0021691012 162.00 +4 117.4505 119.9659 0.00226030971 162.00 +5 117.4094 139.7036 0.00364197748 162.00 +6 117.3709 122.4579 0.00253948814 162.00 +1 117.3212 122.7561 0.00295787086 162.00 +2 117.2863 135.0757 0.00214965113 162.00 +4 117.2473 119.7762 0.00354344465 162.00 +5 117.2131 139.4858 0.00303907881 162.00 +6 117.1828 122.2818 0.00227508242 162.00 +1 107.0928 112.4556 0.00295025423 178.00 +2 107.0342 123.709 0.00219089023 178.00 +4 106.9794 109.9389 0.00341306314 178.00 +5 106.9295 127.5502 0.00337283264 178.00 +6 106.8795 112.4479 0.00292728543 178.00 +1 106.8236 112.1796 0.00235881326 178.00 +2 106.7832 123.4324 0.0025698249 178.00 +4 106.738 109.7074 0.00243803199 178.00 +5 106.6996 127.2933 0.00287419554 178.00 +6 106.6648 112.2401 0.00124458829 178.00 +1 106.6193 111.9726 0.00286076913 178.00 +2 106.5908 123.2224 0.00244622158 178.00 +4 106.5624 109.5354 0.00222800359 178.00 +5 106.5314 127.0913 0.00169144908 178.00 +6 106.5025 112.084 0.00234946802 178.00 +1 97.6025 102.874 0.00412795349 195.00 +2 97.5485 113.166 0.00270924344 195.00 +4 97.4974 100.7867 0.00270573465 195.00 +5 97.4515 116.5475 0.00304055916 195.00 +6 97.4062 103.3134 0.00267656496 195.00 +1 97.3513 102.6234 0.00314388295 195.00 +2 97.315 112.9071 0.00186788651 195.00 +4 97.2769 100.5739 0.00250379712 195.00 +5 97.2433 116.3051 0.00162141913 195.00 +6 97.2128 103.1244 0.00305352256 195.00 +1 97.1683 102.4407 0.00206905776 195.00 +2 97.1398 112.7214 0.00158871017 195.00 +4 97.112 100.4204 0.0030893365 195.00 +5 97.0894 116.1209 0.00238096619 195.00 +6 97.0636 102.983 0.0026 195.00 +1 88.7678 93.9597 0.00360568995 214.00 +2 88.7244 103.3319 0.00297136332 214.00 +4 88.6784 92.2132 0.00209666402 214.00 +5 88.6344 106.2887 0.00346713138 214.00 +6 88.5938 94.7378 0.00292164337 214.00 +1 88.548 93.7389 0.00214219514 214.00 +2 88.5155 103.0995 0.00283284309 214.00 +4 88.4839 92.0193 0.00213096222 214.00 +5 88.4567 106.0772 0.00190157829 214.00 +6 88.4303 94.5729 0.0025551908 214.00 +1 88.3895 93.5738 0.0027342275 214.00 +2 88.369 102.9326 0.00309257175 214.00 +4 88.3396 91.8839 0.00288600069 214.00 +5 88.3139 105.9193 0.00216356188 214.00 +6 88.2945 94.4465 0.00406509532 214.00 +1 81.0637 86.159 0.00323109888 234.00 +2 81.0213 94.7206 0.00297052184 234.00 +4 80.9767 84.6673 0.00358343411 234.00 +5 80.9413 97.3197 0.00136418474 234.00 +6 80.9081 87.1796 0.00250679078 234.00 +1 80.8605 85.956 0.00300998339 234.00 +2 80.8342 94.511 0.00251396102 234.00 +4 80.8068 84.4959 0.00280873637 234.00 +5 80.7791 97.1312 0.00314261038 234.00 +6 80.7563 87.0274 0.00162603813 234.00 +1 80.7206 85.8232 0.00261839646 234.00 +2 80.6982 94.3622 0.00262982889 234.00 +4 80.677 84.3707 0.0035554184 234.00 +5 80.6554 96.9891 0.00182455474 234.00 +6 80.6376 86.9117 0.00191337398 234.00 +1 73.7778 78.7859 0.00303792692 257.00 +2 73.7403 86.557 0.00232379001 257.00 +4 73.7022 77.4891 0.00247971773 257.00 +5 73.6737 88.8341 0.00332701067 257.00 +6 73.6433 79.9625 0.00161400124 257.00 +1 73.6024 78.6051 0.00230412673 257.00 +2 73.575 86.375 0.00262297541 257.00 +4 73.5501 77.3359 0.00268867997 257.00 +5 73.5312 88.6642 0.00240748832 257.00 +6 73.5084 79.8306 0.00255812431 257.00 +1 73.4737 78.4838 0.00222620754 257.00 +2 73.4536 86.242 0.00235372046 257.00 +4 73.4353 77.226 0.00243721152 257.00 +5 73.4181 88.5385 0.00224165118 257.00 +6 73.4039 79.7328 0.00230564525 257.00 +1 65.9047 70.785 0.00296984848 288.00 +2 65.8692 77.6994 0.00328390012 288.00 +4 65.8342 69.6631 0.00222013513 288.00 +5 65.8079 79.625 0.00162480768 288.00 +6 65.7825 72.0857 0.00257701378 288.00 +1 65.744 70.6288 0.00250918313 288.00 +2 65.7228 77.5388 0.0016358484 288.00 +4 65.6988 69.5244 0.00171580885 288.00 +5 65.6773 79.476 0.00203469899 288.00 +6 65.6602 71.9601 0.00203690942 288.00 +1 65.6358 70.5188 0.00189103146 288.00 +2 65.6183 77.4205 0.00198116128 288.00 +4 65.6019 69.4278 0.00272323337 288.00 +5 65.5872 79.3748 0.00152184099 288.00 +6 65.5757 71.8725 0.00155080624 288.00 +1 62.836 67.6606 0.00401795968 302.00 +2 62.8027 74.2436 0.00255812431 302.00 +4 62.7694 66.5935 0.00294023809 302.00 +5 62.7437 76.0459 0.00398610085 302.00 +6 62.722 68.9913 0.0030101495 302.00 +1 62.6855 67.5209 0.00272928562 302.00 +2 62.6639 74.0907 0.00289844786 302.00 +4 62.6434 66.4718 0.00283830936 302.00 +5 62.6286 75.8995 0.00132853303 302.00 +6 62.613 68.8839 0.00280160668 302.00 +1 62.5919 67.4197 0.00293274615 302.00 +2 62.577 73.9842 0.00258766304 302.00 +4 62.5617 66.3824 0.00197585425 302.00 +5 62.5469 75.8047 0.00175527776 302.00 +6 62.5342 68.8102 0.00136235091 302.00 +1 61.1811 65.9781 0.00219749858 310.00 +2 61.1498 72.3764 0.00232894826 310.00 +4 61.1237 64.937 0.00167928556 310.00 +5 61.0999 74.1024 0.00417660149 310.00 +6 61.0767 67.3257 0.00280017857 310.00 +1 61.0508 65.8466 0.00265781865 310.00 +2 61.033 72.2361 0.00299148792 310.00 +4 61.0187 64.8276 0.00192457788 310.00 +5 61.0006 73.9887 0.00281442712 310.00 +6 60.9802 67.2281 0.00200723691 310.00 +1 60.9627 65.758 0.00264575131 310.00 +2 60.9532 72.1447 0.00259634358 310.00 +4 60.9378 64.7503 0.00162511538 310.00 +5 60.9246 73.8988 0.00231430335 310.00 +6 60.917 67.1615 0.00195576072 310.00 diff --git a/calib_data/calib_2024-12-17.txt b/calib_data/calib_2024-12-17.txt new file mode 100644 index 0000000..9441f5b --- /dev/null +++ b/calib_data/calib_2024-12-17.txt @@ -0,0 +1,722 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 18886.6 5849.748 3.3721669 1.57 +2 18885.11 22909.51 25.7287833 1.57 +4 18889.21 25989.78 21.6796624 1.57 +5 18909.47 18653.85 12.8594965 1.57 +1 18905.31 5857.544 1.44738675 1.57 +2 18938.16 22964.53 13.4357289 1.57 +4 18932.16 25949.2 17.2598378 1.57 +5 18883.87 18700.95 14.9274127 1.57 +1 18902.39 5841.376 2.25094478 1.57 +2 18937.37 23016.55 16.5498112 1.57 +4 19027.42 25980.61 23.2064493 1.57 +5 18979.94 18698.13 12.7764318 1.57 +1 17796.5 5590.888 3.56559414 1.62 +2 17801.79 21576.8 24.5859065 1.62 +4 17772.65 24265.01 9.71715442 1.62 +5 17753.7 17600.88 11.565222 1.62 +1 17802.42 5597.327 6.67201814 1.62 +2 17828.73 21496.58 9.88011943 1.62 +4 17815.22 24284.66 27.6849389 1.62 +5 17816.12 17642.15 14.7762867 1.62 +1 17809.99 5586.499 1.28805237 1.62 +2 17792.05 21578.4 23.6747418 1.62 +4 17754.93 24220.21 11.5475231 1.62 +5 17758.22 17626.37 16.11701 1.62 +1 13487.47 4557.447 0.314722259 1.78 +2 13486.57 16174.18 1.00596223 1.78 +4 13486.51 18122.24 1.69730374 1.78 +5 13488.78 13427.19 0.783511327 1.78 +1 13486.79 4558.764 0.329758093 1.78 +2 13482.52 16172.26 1.62149314 1.78 +4 13477.38 18101.39 1.0739134 1.78 +5 13477.53 13418.53 0.879323604 1.78 +1 13473.88 4554.519 0.26669252 1.78 +2 13478.59 16161 2.45393561 1.78 +4 13477.1 18122.39 1.53267413 1.78 +5 13475.68 13415.34 0.761078183 1.78 +1 11539.04 4060.208 0.0962060289 1.95 +2 11540.22 13772.81 1.38949271 1.95 +4 11539.95 15382 1.16970082 1.95 +5 11538.4 11528.67 0.700292796 1.95 +1 11534.11 4060.397 0.374457074 1.95 +2 11527.53 13754.67 2.44671412 1.95 +4 11530.13 15379.76 2.15165982 1.95 +5 11533.82 11528.02 1.24441151 1.95 +1 11530.78 4056.584 0.26090688 1.95 +2 11530.48 13760.19 1.22257515 1.95 +4 11533.86 15378.35 2.70832974 1.95 +5 11540.79 11529.39 0.609663842 1.95 +1 9908.04 3623.076 0.370286916 2.14 +2 9902.21 11766.94 0.988959049 2.14 +4 9896.82 13093.2 1.29460419 2.14 +5 9895.51 9923.08 1.52235344 2.14 +1 9898.76 3621.737 0.175448283 2.14 +2 9903.13 11761.89 1.15667195 2.14 +4 9903.27 13104.79 0.626649822 2.14 +5 9902.65 9935.55 0.793252797 2.14 +1 9902.02 3621.042 0.301220185 2.14 +2 9902.06 11756.61 0.651682438 2.14 +4 9904.34 13112.61 0.915254063 2.14 +5 9902 9930.26 0.3228622 2.14 +1 8591.71 3257.66 0.14362451 2.34 +2 8592.22 10172.69 0.360679913 2.34 +4 8589.04 11303.07 0.520970249 2.34 +5 8591.28 8656.94 0.360333179 2.34 +1 8591.12 3257.312 0.106299577 2.34 +2 8590.24 10173.85 0.617130456 2.34 +4 8591.29 11304.66 0.472482804 2.34 +5 8593.31 8657.15 0.289223097 2.34 +1 8592.14 3257.243 0.0919679292 2.34 +2 8593.06 10173.98 0.371967741 2.34 +4 8592.63 11304.82 0.354344465 2.34 +5 8591.66 8656.05 0.301081384 2.34 +1 7479.1 2934.705 0.087843611 2.57 +2 7479.01 8830.81 0.514674655 2.57 +4 7477.91 9788.39 0.353397793 2.57 +5 7477.84 7569.87 0.448564377 2.57 +1 7478.06 2934.332 0.0759842089 2.57 +2 7480.19 8831.02 0.287680378 2.57 +4 7480.92 9786.44 0.296040538 2.57 +5 7480.01 7569.73 0.165559657 2.57 +1 7477.08 2934.277 0.080000625 2.57 +2 7478.03 8830.39 0.29238673 2.57 +4 7477.62 9788.25 0.351639019 2.57 +5 7479.12 7569.88 0.354626564 2.57 +1 6552.69 2655.041 0.127627975 2.82 +2 6553.36 7719.44 0.22324874 2.82 +4 6553.4 8534.9 0.359444015 2.82 +5 6551.44 6660.77 0.390397234 2.82 +1 6552.52 2655.251 0.0842787043 2.82 +2 6553.73 7718.9 0.277488739 2.82 +4 6553.73 8533.17 0.226296266 2.82 +5 6553.17 6660.54 0.146424042 2.82 +1 6552.31 2655.031 0.0831558777 2.82 +2 6552.45 7717.82 0.392377369 2.82 +4 6552.8 8532.72 0.386471215 2.82 +5 6552.61 6659.79 0.356216226 2.82 +1 5774.35 2411.638 0.0464284396 3.09 +2 5775.02 6788.79 0.24349538 3.09 +4 5775.31 7490.35 0.337416656 3.09 +5 5774.56 5895.22 0.261074702 3.09 +1 5774.59 2411.385 0.0822100967 3.09 +2 5774.14 6788.57 0.286024474 3.09 +4 5774.6 7489.47 0.309531905 3.09 +5 5774.91 5894.99 0.20902153 3.09 +1 5773.72 2411.441 0.0766217985 3.09 +2 5774.64 6787.86 0.438223687 3.09 +4 5775.08 7490.09 0.422953898 3.09 +5 5774.2 5895.4 0.320936131 3.09 +1 5162.26 2213.245 0.0689818817 3.38 +2 5160.5 6052.48 0.273788239 3.38 +4 5159.89 6670.17 0.461530064 3.38 +5 5162.64 5289.86 0.251475645 3.38 +1 5159.35 2211.94 0.138874044 3.38 +2 5159.81 6054.72 0.341994152 3.38 +4 5159.97 6669.03 0.35806424 3.38 +5 5160.81 5290.55 0.271385335 3.38 +1 5160.41 2212.606 0.145589835 3.38 +2 5160.06 6055.31 0.396598033 3.38 +4 5162.27 6671.75 0.291633331 3.38 +5 5162.25 5290.91 0.229543024 3.38 +1 4569.718 2017.949 0.310530031 3.71 +2 4569.68 5358.97 0.348439378 3.71 +4 4572.57 5896.96 0.408705273 3.71 +5 4577.066 4710.315 0.885515951 3.71 +1 4576.141 2018.551 0.199912231 3.71 +2 4570.321 5366.98 0.985575974 3.71 +4 4571.275 5890.51 0.974315144 3.71 +5 4572.975 4707.244 0.47700566 3.71 +1 4569.17 2016.768 0.152307584 3.71 +2 4571.206 5362.99 1.01207213 3.71 +4 4571.811 5896.02 0.71704951 3.71 +5 4572.552 4713.249 0.754597177 3.71 +1 4069.53 1843.024 0.0876607096 4.07 +2 4068.892 4769.243 0.250084186 4.07 +4 4068.444 5228.48 0.358552646 4.07 +5 4069.049 4210.182 0.19883561 4.07 +1 4068.796 1842.953 0.071568848 4.07 +2 4068.347 4767.262 0.388810494 4.07 +4 4067.556 5228.7 0.466261729 4.07 +5 4068.396 4209.835 0.160656466 4.07 +1 4068.237 1842.066 0.110952242 4.07 +2 4068.595 4767.906 0.459460989 4.07 +4 4068.149 5229.18 0.267507009 4.07 +5 4066.937 4207.407 0.314385273 4.07 +1 3639.56 1688.723 0.0615962661 4.46 +2 3639.555 4261.009 0.108521426 4.46 +4 3639.75 4663.69 0.130491379 4.46 +5 3639.558 3781.096 0.118778786 4.46 +1 3638.528 1688.417 0.0794990566 4.46 +2 3639.476 4261.236 0.0968627896 4.46 +4 3639.675 4663.758 0.133849169 4.46 +5 3639.759 3780.933 0.183450538 4.46 +1 3639.64 1688.685 0.0697746372 4.46 +2 3639.197 4261.091 0.0953776703 4.46 +4 3639.436 4664.203 0.0786136121 4.46 +5 3639.712 3781.555 0.202673383 4.46 +1 3265.365 1549.695 0.0350499643 4.89 +2 3265.218 3820.073 0.046691541 4.89 +4 3265.41 4173.228 0.140419372 4.89 +5 3265.617 3405.472 0.0615597271 4.89 +1 3265.059 1549.614 0.0509745034 4.89 +2 3265.341 3819.976 0.091435223 4.89 +4 3265.342 4173.188 0.114112225 4.89 +5 3265.336 3405.493 0.089555011 4.89 +1 3265.067 1549.607 0.0537596503 4.89 +2 3265.245 3819.75 0.125347517 4.89 +4 3264.949 4172.923 0.050814368 4.89 +5 3264.64 3405.275 0.0915887548 4.89 +1 2933.163 1423.195 0.0200124961 5.36 +2 2933.267 3429.434 0.10140217 5.36 +4 2933.348 3740.43 0.0878862902 5.36 +5 2933.213 3071.316 0.0878088834 5.36 +1 2933.193 1423.232 0.03706211 5.36 +2 2933.356 3429.5 0.0784474346 5.36 +4 2933.206 3740.007 0.0983976626 5.36 +5 2933.038 3071.531 0.0546342383 5.36 +1 2933.195 1423.127 0.0219111844 5.36 +2 2933.231 3429.537 0.0714569801 5.36 +4 2933.241 3740.034 0.0487483333 5.36 +5 2933.221 3071.282 0.0975991803 5.36 +1 2638.888 1307.663 0.0287767267 5.88 +2 2638.622 3083.641 0.09623357 5.88 +4 2638.596 3357.233 0.0560365952 5.88 +5 2638.737 2773.576 0.0863272842 5.88 +1 2638.635 1307.739 0.0228670068 5.88 +2 2638.695 3083.64 0.0756042327 5.88 +4 2638.853 3356.966 0.0769441356 5.88 +5 2638.836 2773.623 0.0910939076 5.88 +1 2638.82 1307.622 0.0207267943 5.88 +2 2638.652 3083.652 0.0651889561 5.88 +4 2638.496 3357.01 0.0607782856 5.88 +5 2638.451 2773.562 0.0811270608 5.88 +1 2387.146 1206.24 0.022627417 6.45 +2 2387.119 2788.706 0.0680323452 6.45 +4 2387.233 3031.187 0.0823170699 6.45 +5 2387.332 2518.485 0.0732427471 6.45 +1 2386.713 1206.158 0.027342275 6.45 +2 2387.131 2788.682 0.0762994102 6.45 +4 2387.074 3031.213 0.115974566 6.45 +5 2387.144 2518.609 0.0730267074 6.45 +1 2387.063 1206.226 0.030665942 6.45 +2 2387.13 2788.649 0.0725596306 6.45 +4 2386.876 3031.05 0.0704840407 6.45 +5 2386.979 2518.396 0.0645476568 6.45 +1 2167.438 1115.304 0.0339764624 7.07 +2 2167.607 2531.508 0.0457121428 7.07 +4 2167.583 2747.332 0.0531751822 7.07 +5 2167.604 2294.805 0.115058681 7.07 +1 2167.519 1115.262 0.0260691388 7.07 +2 2167.558 2531.369 0.0737895657 7.07 +4 2167.457 2747.416 0.0429697568 7.07 +5 2167.475 2294.703 0.0620330557 7.07 +1 2167.307 1115.291 0.0378007936 7.07 +2 2167.306 2531.502 0.0632898096 7.07 +4 2167.379 2747.215 0.0850088231 7.07 +5 2167.366 2294.747 0.0961670422 7.07 +1 1972.702 1032.62 0.0388329757 7.75 +2 1972.629 2303.593 0.0828377933 7.75 +4 1972.501 2496.248 0.100705511 7.75 +5 1972.505 2095.522 0.0667952094 7.75 +1 1972.021 1032.501 0.0322009317 7.75 +2 1972.248 2303.126 0.0851375358 7.75 +4 1972.352 2496.199 0.0746116613 7.75 +5 1972.381 2095.404 0.0564127645 7.75 +1 1972.333 1032.483 0.0251017928 7.75 +2 1972.408 2303.354 0.0737455083 7.75 +4 1972.646 2496.174 0.03516248 7.75 +5 1972.417 2095.58 0.0394968353 7.75 +1 1799.392 957.475 0.0443677811 8.50 +2 1799.558 2101.342 0.0571279266 8.50 +4 1799.386 2274.058 0.0676875173 8.50 +5 1799.143 1918.02 0.0478121324 8.50 +1 1799.281 957.383 0.0300349796 8.50 +2 1799.372 2101.293 0.0480634997 8.50 +4 1799.154 2273.846 0.121071879 8.50 +5 1799.187 1917.906 0.0351055551 8.50 +1 1798.852 957.33 0.0286705424 8.50 +2 1799.217 2101.325 0.117117462 8.50 +4 1799.28 2274.112 0.0743881711 8.50 +5 1799.116 1917.866 0.0634854314 8.50 +1 1646.456 889.639 0.0251177228 9.32 +2 1646.483 1923.25 0.0714562803 9.32 +4 1646.501 2078.292 0.0630840709 9.32 +5 1646.366 1760.94 0.0550454358 9.32 +1 1645.952 889.546 0.027971414 9.32 +2 1646.316 1923.098 0.0600632999 9.32 +4 1646.278 2078.513 0.0676912107 9.32 +5 1646.14 1760.959 0.0773621354 9.32 +1 1646.179 889.501 0.0202212759 9.32 +2 1646.312 1923.006 0.0647796264 9.32 +4 1646.331 2078.302 0.0645569516 9.32 +5 1646.249 1760.797 0.0859307861 9.32 +1 1512.024 828.972 0.024690079 10.20 +2 1512.024 1767.51 0.0687749955 10.20 +4 1511.97 1907.457 0.0587545743 10.20 +5 1511.805 1622.974 0.0806622588 10.20 +1 1511.715 828.841 0.0206615585 10.20 +2 1511.778 1767.147 0.0372572141 10.20 +4 1511.813 1907.408 0.0589542195 10.20 +5 1511.723 1622.879 0.0233430932 10.20 +1 1511.77 828.851 0.0172887246 10.20 +2 1511.711 1767.064 0.0634854314 10.20 +4 1511.742 1907.311 0.0459227612 10.20 +5 1511.748 1622.759 0.0853399086 10.20 +1 1386.861 771.187 0.0225410736 11.20 +2 1386.814 1622.072 0.0470489107 11.20 +4 1386.802 1748.467 0.0884878523 11.20 +5 1386.824 1493.086 0.0316922704 11.20 +1 1386.756 771.162 0.0209666402 11.20 +2 1386.632 1621.891 0.04262511 11.20 +4 1386.614 1748.412 0.0928202564 11.20 +5 1386.697 1493.062 0.0204352636 11.20 +1 1386.639 771.08 0.0253771551 11.20 +2 1386.598 1621.912 0.0670492356 11.20 +4 1386.664 1748.388 0.0946762906 11.20 +5 1386.706 1492.995 0.0228144691 11.20 +1 1273.576 717.924 0.0121819539 12.30 +2 1273.528 1490.168 0.0215313725 12.30 +4 1273.444 1605.076 0.0515790655 12.30 +5 1273.383 1375.877 0.0308236922 12.30 +1 1273.338 717.877 0.0167958328 12.30 +2 1273.378 1490.073 0.0377107412 12.30 +4 1273.394 1604.914 0.127422133 12.30 +5 1273.307 1375.846 0.0208901891 12.30 +1 1273.374 717.901 0.016878981 12.30 +2 1273.417 1490.024 0.0182318403 12.30 +4 1273.355 1604.85 0.0596824932 12.30 +5 1273.316 1375.771 0.0156492811 12.30 +1 1171.84 669.299 0.0227354349 13.50 +2 1171.826 1372.652 0.0237823464 13.50 +4 1171.835 1475.992 0.0165408585 13.50 +5 1171.742 1270.662 0.0346929388 13.50 +1 1171.603 669.251 0.012525973 13.50 +2 1171.622 1372.467 0.0181686543 13.50 +4 1171.68 1475.832 0.028135387 13.50 +5 1171.691 1270.58 0.0347562944 13.50 +1 1171.611 669.27 0.0140712473 13.50 +2 1171.588 1372.463 0.0337653669 13.50 +4 1171.606 1475.782 0.0361054013 13.50 +5 1171.601 1270.5 0.0272763634 13.50 +1 1079.527 624.486 0.0232894826 14.80 +2 1079.475 1266.266 0.0221449769 14.80 +4 1079.48 1360.013 0.0249419326 14.80 +5 1079.39 1174.98 0.0165529454 14.80 +1 1079.354 624.401 0.0191546339 14.80 +2 1079.364 1266.102 0.0193287351 14.80 +4 1079.387 1359.83 0.0284253408 14.80 +5 1079.315 1174.841 0.0181906569 14.80 +1 1079.235 624.381 0.027944588 14.80 +2 1079.263 1266.057 0.0307912325 14.80 +4 1079.309 1359.868 0.0313623979 14.80 +5 1079.307 1174.802 0.0203371581 14.80 +1 996.437 583.567 0.0237928561 16.20 +2 996.395 1170.761 0.0258244071 16.20 +4 996.325 1255.955 0.0276495931 16.20 +5 996.281 1088.735 0.0369932426 16.20 +1 996.19 583.431 0.016878981 16.20 +2 996.167 1170.514 0.0204058815 16.20 +4 996.168 1255.765 0.0273221522 16.20 +5 996.116 1088.632 0.0275245345 16.20 +1 996.087 583.336 0.0276839304 16.20 +2 996.094 1170.434 0.0249078301 16.20 +4 996.131 1255.674 0.0236304888 16.20 +5 996.137 1088.597 0.0190814046 16.20 +1 916.984 543.775 0.0183439363 17.80 +2 916.905 1079.664 0.019089264 17.80 +4 916.854 1156.85 0.018 17.80 +5 916.809 1006.267 0.0187643279 17.80 +1 916.625 543.645 0.0301081384 17.80 +2 916.6 1079.408 0.0296580512 17.80 +4 916.679 1156.624 0.0304039471 17.80 +5 916.657 1006.102 0.0242816803 17.80 +1 916.577 543.611 0.0339543812 17.80 +2 916.585 1079.316 0.02691468 17.80 +4 916.631 1156.536 0.0206494552 17.80 +5 916.614 1006.092 0.0205815451 17.80 +1 846.174 507.908 0.0255264569 19.50 +2 846.102 998.786 0.0273203221 19.50 +4 846.044 1068.948 0.0208710326 19.50 +5 845.967 932.792 0.0261074702 19.50 +1 845.886 507.817 0.0151029798 19.50 +2 845.852 998.47 0.0281424946 19.50 +4 845.84 1068.75 0.0116619038 19.50 +5 845.845 932.634 0.0268029849 19.50 +1 845.761 507.675 0.0187749834 19.50 +2 845.756 998.405 0.0245051015 19.50 +4 845.75 1068.595 0.0143701079 19.50 +5 845.74 932.517 0.0200524313 19.50 +1 779.67 473.6058 0.00742805493 21.40 +2 779.589 922.93 0.0241246762 21.40 +4 779.538 986.736 0.0125857062 21.40 +5 779.421 863.661 0.0248374717 21.40 +1 779.398 473.4493 0.0105669769 21.40 +2 779.379 922.614 0.029839571 21.40 +4 779.268 986.43 0.0235796522 21.40 +5 779.204 863.476 0.019089264 21.40 +1 779.176 473.3741 0.0066504887 21.40 +2 779.209 922.498 0.0218082553 21.40 +4 779.158 986.352 0.0211565593 21.40 +5 779.14 863.446 0.0241743666 21.40 +1 720.775 443.0197 0.00928444936 23.40 +2 720.727 856.021 0.025591014 23.40 +4 720.642 914.226 0.0186654762 23.40 +5 720.567 802.589 0.017461386 23.40 +1 720.523 442.8584 0.00895120104 23.40 +2 720.476 855.725 0.0234627364 23.40 +4 720.399 913.957 0.0126530629 23.40 +5 720.364 802.38 0.020880613 23.40 +1 720.335 442.7799 0.00974315144 23.40 +2 720.334 855.614 0.0163217646 23.40 +4 720.287 913.84 0.0224053565 23.40 +5 720.269 802.281 0.013960659 23.40 +1 663.715 412.9778 0.00449177025 25.70 +2 663.661 791.272 0.0188573593 25.70 +4 663.558 844.163 0.0264971697 25.70 +5 663.47 743.191 0.0197711912 25.70 +1 663.403 412.8447 0.00988134606 25.70 +2 663.4 790.974 0.0267282622 25.70 +4 663.343 843.911 0.0233002146 25.70 +5 663.273 743.06 0.0313687743 25.70 +1 663.184 412.7309 0.00955662074 25.70 +2 663.173 790.867 0.024333105 25.70 +4 663.178 843.766 0.0181769084 25.70 +5 663.194 742.918 0.0238243573 25.70 +1 611.47 385.1551 0.00820420624 28.20 +2 611.456 732.115 0.0205548048 28.20 +4 611.355 780.133 0.0249819935 28.20 +5 611.204 688.792 0.0154142791 28.20 +1 611.129 384.9931 0.0095639427 28.20 +2 611.111 731.848 0.0188573593 28.20 +4 611.066 779.926 0.0185580171 28.20 +5 611.059 688.652 0.0234008547 28.20 +1 610.987 384.8925 0.0103094617 28.20 +2 611.009 731.569 0.023641066 28.20 +4 610.919 779.741 0.0191023559 28.20 +5 610.851 688.501 0.0171143215 28.20 +1 563.716 359.4231 0.00844328135 30.90 +2 563.631 678.109 0.0182455474 30.90 +4 563.569 721.893 0.0263837071 30.90 +5 563.47 639.102 0.0297926165 30.90 +1 563.382 359.2651 0.00899827761 30.90 +2 563.384 677.798 0.0209666402 30.90 +4 563.312 721.584 0.0212696968 30.90 +5 563.257 638.9 0.0239582971 30.90 +1 563.283 359.1507 0.00829463682 30.90 +2 563.229 677.602 0.0244867311 30.90 +4 563.149 721.419 0.0200224874 30.90 +5 563.15 638.745 0.0200624026 30.90 +1 520.265 335.6948 0.00721221187 33.80 +2 520.15 628.943 0.0238348484 33.80 +4 520.069 668.83 0.0196977156 33.80 +5 519.971 593.671 0.0239770724 33.80 +1 519.91 335.5508 0.00668101789 33.80 +2 519.888 628.634 0.0256593063 33.80 +4 519.802 668.574 0.026540535 33.80 +5 519.763 593.484 0.0206009709 33.80 +1 519.758 335.44 0.00759473502 33.80 +2 519.707 628.471 0.0237255137 33.80 +4 519.682 668.329 0.0156492811 33.80 +5 519.637 593.253 0.0184418003 33.80 +1 478.2289 312.638 0.00840713982 37.10 +2 478.1337 581.62 0.0212132034 37.10 +4 478.0413 617.959 0.0228232338 37.10 +5 477.9628 549.923 0.0109590146 37.10 +1 477.9049 312.4854 0.00635955973 37.10 +2 477.8447 581.32 0.0290516781 37.10 +4 477.7962 617.588 0.0273788239 37.10 +5 477.7527 549.662 0.0391612053 37.10 +1 477.6915 312.3489 0.00755175476 37.10 +2 477.649 581.132 0.0284534708 37.10 +4 477.6281 617.378 0.0250119971 37.10 +5 477.5923 549.487 0.0254578082 37.10 +1 439.6846 291.127 0.00885437745 40.70 +2 439.5922 537.973 0.0210261742 40.70 +4 439.5059 570.947 0.0209308385 40.70 +5 439.4261 509.371 0.0247971773 40.70 +1 439.3657 290.9406 0.00845718629 40.70 +2 439.3018 537.699 0.0262087772 40.70 +4 439.2596 570.695 0.0269536639 40.70 +5 439.234 509.159 0.0280160668 40.70 +1 439.1854 290.818 0.00849117189 40.70 +2 439.1386 537.49 0.0282842712 40.70 +4 439.0924 570.425 0.0351923287 40.70 +5 439.0587 508.986 0.019193749 40.70 +1 404.4413 271.1843 0.00637502941 44.60 +2 404.3442 497.898 0.00722634071 44.60 +4 404.2647 528.014 0.021549942 44.60 +5 404.2006 472.0539 0.00704052555 44.60 +1 404.1153 271.0053 0.00528024621 44.60 +2 404.0561 497.5638 0.00812256117 44.60 +4 403.9916 527.724 0.0157607106 44.60 +5 403.9518 471.8069 0.0059757008 44.60 +1 403.9123 270.8881 0.00471900413 44.60 +2 403.8908 497.3511 0.00589822007 44.60 +4 403.862 527.524 0.030665942 44.60 +5 403.8172 471.646 0.0103295692 44.60 +1 371.7457 252.4618 0.00650507494 48.90 +2 371.6353 460.7365 0.00587239304 48.90 +4 371.5523 487.9507 0.00661218572 48.90 +5 371.4851 437.3693 0.00684404851 48.90 +1 371.379 252.2807 0.00715129359 48.90 +2 371.3099 460.3636 0.00432943414 48.90 +4 371.265 487.5968 0.00833522645 48.90 +5 371.2318 437.1229 0.00669096406 48.90 +1 371.1613 252.1349 0.00801554739 48.90 +2 371.1179 460.115 0.00835583628 48.90 +4 371.0867 487.3705 0.00742866071 48.90 +5 371.0449 436.9228 0.00697538529 48.90 +1 341.7507 235.0714 0.00976749712 53.60 +2 341.6284 426.5019 0.0084171848 53.60 +4 341.5344 451.2238 0.00577546535 53.60 +5 341.4312 405.4047 0.00721948752 53.60 +1 341.3104 234.8452 0.00860209277 53.60 +2 341.2441 426.091 0.00731436942 53.60 +4 341.1823 450.8283 0.00839172211 53.60 +5 341.121 405.0787 0.00618231348 53.60 +1 341.0373 234.6689 0.00543957719 53.60 +2 340.9855 425.7916 0.00729547805 53.60 +4 340.9646 450.5415 0.00678269858 53.60 +5 340.9194 404.8391 0.00983509024 53.60 +1 313.7968 218.6878 0.00730451915 58.80 +2 313.668 394.5279 0.00963166652 58.80 +4 313.5687 416.9589 0.00876179205 58.80 +5 313.4665 375.4517 0.00572721573 58.80 +1 313.3298 218.4016 0.00550309004 58.80 +2 313.2557 394.0305 0.0113501101 58.80 +4 313.1744 416.492 0.0063387696 58.80 +5 313.1015 375.0617 0.00651774501 58.80 +1 313.0008 218.2078 0.00727296363 58.80 +2 312.944 393.705 0.00681322244 58.80 +4 312.8974 416.1514 0.00586037541 58.80 +5 312.8316 374.7935 0.0077772103 58.80 +1 287.9392 203.2971 0.00914270201 64.50 +2 287.8246 364.8136 0.00528242369 64.50 +4 287.7206 385.1719 0.0062087841 64.50 +5 287.5983 347.5734 0.0088217912 64.50 +1 287.4508 203.0019 0.00804791899 64.50 +2 287.3505 364.2875 0.00632020569 64.50 +4 287.2828 384.6534 0.00722938448 64.50 +5 287.2211 347.1677 0.0115187239 64.50 +1 287.099 202.7997 0.0062706459 64.50 +2 287.0416 363.9118 0.00693945243 64.50 +4 286.9853 384.2944 0.00663053542 64.50 +5 286.9262 346.8612 0.00783428363 64.50 +1 264.2343 189.0138 0.00735091831 70.70 +2 264.116 337.402 0.0080137382 70.70 +4 263.9918 355.8751 0.0128097229 70.70 +5 263.8862 321.8511 0.009009384 70.70 +1 262.8608 188.1711 0.00639445072 70.70 +2 262.8206 335.9482 0.00574943475 70.70 +4 262.8025 354.4029 0.00348267139 70.70 +5 262.7805 320.6286 0.00493396392 70.70 +1 262.7173 188.095 0.00671863081 70.70 +2 262.7002 335.796 0.00691953756 70.70 +4 262.6956 354.2421 0.00777232269 70.70 +5 262.6685 320.504 0.0059126982 70.70 +1 242.0851 175.4737 0.0116979058 77.50 +2 241.983 311.6506 0.00721553879 77.50 +4 241.8888 328.4031 0.00379591886 77.50 +5 241.7937 297.6274 0.00620193518 77.50 +1 241.6536 175.2048 0.00933895069 77.50 +2 241.5729 311.1873 0.00646072751 77.50 +4 241.4959 327.9281 0.00862258662 77.50 +5 241.4284 297.2712 0.00465360076 77.50 +1 241.342 174.9884 0.00893106936 77.50 +2 241.2864 310.8516 0.00526535849 77.50 +4 241.2451 327.6014 0.00580379186 77.50 +5 241.2011 296.9816 0.00709112121 77.50 +1 221.7781 162.8475 0.00622133426 85.00 +2 221.6763 287.862 0.008428523 85.00 +4 221.5846 303.0338 0.00997877748 85.00 +5 221.4861 275.221 0.00784856675 85.00 +1 221.3756 162.6174 0.00647950615 85.00 +2 221.2978 287.4242 0.00783428363 85.00 +4 221.2296 302.5983 0.00514402566 85.00 +5 221.1613 274.8687 0.00672168134 85.00 +1 221.0648 162.4003 0.00907860121 85.00 +2 221.0072 287.0778 0.00634318532 85.00 +4 220.9577 302.2521 0.00657183384 85.00 +5 220.9175 274.584 0.00475394573 85.00 +1 203.0759 151.045 0.00256904652 93.20 +2 202.9675 265.7692 0.0116788698 93.20 +4 202.8762 279.5063 0.00884991525 93.20 +5 202.7972 254.3809 0.0105360809 93.20 +1 202.6891 150.7909 0.00335097001 93.20 +2 202.62 265.332 0.00826680107 93.20 +4 202.5444 279.0859 0.00550536102 93.20 +5 202.4817 254.0395 0.00766191882 93.20 +1 202.4125 150.6054 0.00289205809 93.20 +2 202.3514 265.0174 0.00967904954 93.20 +4 202.2791 278.752 0.00863249674 93.20 +5 202.2353 253.7553 0.00690659105 93.20 +1 186.0946 140.2008 0.00356875328 102.00 +2 186.0053 245.5689 0.00950836474 102.00 +4 185.9081 257.9926 0.00491975609 102.00 +5 185.8159 235.2767 0.00951320135 102.00 +1 185.7252 139.955 0.00280713377 102.00 +2 185.6569 245.1443 0.00623706662 102.00 +4 185.5803 257.5842 0.00608078942 102.00 +5 185.5196 234.9551 0.00680066173 102.00 +1 185.4455 139.784 0.00188148877 102.00 +2 185.4039 244.8179 0.005862508 102.00 +4 185.3463 257.2643 0.00642658541 102.00 +5 185.2959 234.6953 0.00516536543 102.00 +1 169.9831 129.7505 0.00243413229 112.00 +2 169.8919 226.1836 0.0137376854 112.00 +4 169.8006 237.4289 0.00621039451 112.00 +5 169.7113 216.9789 0.00937917907 112.00 +1 169.6123 129.5193 0.00230672929 112.00 +2 169.5647 225.79 0.00910274684 112.00 +4 169.4862 237.0173 0.00962086275 112.00 +5 169.4042 216.6402 0.00956221732 112.00 +1 169.3346 129.3372 0.00265631323 112.00 +2 169.2863 225.4772 0.00688302259 112.00 +4 169.2268 236.6847 0.00810561534 112.00 +5 169.1812 216.371 0.00628808397 112.00 +1 154.8795 119.8613 0.00432677709 123.00 +2 154.7931 207.9615 0.00935868581 123.00 +4 154.7132 218.0653 0.00806975836 123.00 +5 154.6451 199.7343 0.01032187 123.00 +1 154.5522 119.6534 0.003575472 123.00 +2 154.4959 207.5975 0.00661551207 123.00 +4 154.433 217.7263 0.00854757275 123.00 +5 154.3756 199.4294 0.00953645636 123.00 +1 154.3168 119.4874 0.00340646444 123.00 +2 154.2684 207.3272 0.00974248428 123.00 +4 154.2231 217.4353 0.00564809702 123.00 +5 154.1817 199.1664 0.00819292378 123.00 +1 141.2112 110.7348 0.00221720545 135.00 +2 141.1339 191.2034 0.00763701512 135.00 +4 141.0558 200.3186 0.0106284524 135.00 +5 140.9885 183.8414 0.00893106936 135.00 +1 140.909 110.5323 0.00313384748 135.00 +2 140.8476 190.8666 0.00740027027 135.00 +4 140.7908 199.9602 0.0116067222 135.00 +5 140.7406 183.5436 0.00986934648 135.00 +1 140.6768 110.3767 0.00289499568 135.00 +2 140.6279 190.5973 0.00795870592 135.00 +4 140.5815 199.7069 0.012391489 135.00 +5 140.5395 183.3262 0.00747903737 135.00 +1 128.7639 102.3089 0.00327856676 148.00 +2 128.6956 175.807 0.0094318609 148.00 +4 128.626 183.9865 0.00789461842 148.00 +5 128.5614 169.2075 0.00641755405 148.00 +1 128.4899 102.1208 0.00283830936 148.00 +2 128.4305 175.4797 0.0118220557 148.00 +4 128.3795 183.6674 0.0115811916 148.00 +5 128.3298 168.9434 0.00670253683 148.00 +1 128.2711 101.9731 0.00196188685 148.00 +2 128.2247 175.2456 0.00832970588 148.00 +4 128.1893 183.4307 0.00779236806 148.00 +5 128.1539 168.748 0.00872467764 148.00 +1 117.4474 94.5248 0.00436302647 162.00 +2 117.3801 161.6579 0.00916018559 162.00 +4 117.3178 169.0275 0.0127076748 162.00 +5 117.2693 155.7153 0.00148357676 162.00 +1 117.2072 94.359 0.00129614814 162.00 +2 117.1581 161.3785 0.0104826046 162.00 +4 117.1122 168.7551 0.0096679367 162.00 +5 117.0716 155.4782 0.00343453054 162.00 +1 117.0275 94.2365 0.00246272207 162.00 +2 116.9898 161.1574 0.0088466943 162.00 +4 116.955 168.5338 0.00798348295 162.00 +5 116.9232 155.2945 0.00245865817 162.00 +1 106.731 87.054 0.00240416306 178.00 +2 106.6757 148.0467 0.003379497 178.00 +4 106.6228 154.6503 0.00276423588 178.00 +5 106.5709 142.8157 0.00316243577 178.00 +1 106.5121 86.9031 0.0026474516 178.00 +2 106.4685 147.7919 0.00280873637 178.00 +4 106.431 154.3923 0.00327429382 178.00 +5 106.3915 142.5964 0.00334125725 178.00 +1 106.342 86.7852 0.00280285569 178.00 +2 106.3145 147.59 0.00354682957 178.00 +4 106.2816 154.1906 0.00225033331 178.00 +5 106.2489 142.4253 0.00320327957 178.00 +1 97.2452 80.3573 0.00331978915 195.00 +2 97.1928 135.929 0.00182208672 195.00 +4 97.1444 141.856 0.00373095162 195.00 +5 97.1022 131.2668 0.00365732142 195.00 +1 97.04 80.2138 0.00318370853 195.00 +2 97.006 135.6877 0.00187643279 195.00 +4 96.9711 141.6129 0.00285464534 195.00 +5 96.9332 131.0597 0.00181135309 195.00 +1 96.8941 80.1025 0.00288530761 195.00 +2 96.8647 135.5047 0.00192379833 195.00 +4 96.8372 141.4317 0.00211683726 195.00 +5 96.8114 130.9027 0.00253001976 195.00 +1 88.4325 74.0457 0.00298345437 214.00 +2 88.3838 124.5448 0.00361054013 214.00 +4 88.3426 129.8452 0.00336392628 214.00 +5 88.3034 120.3978 0.0020774985 214.00 +1 88.249 73.9147 0.00301678637 214.00 +2 88.2175 124.3247 0.00338540987 214.00 +4 88.1893 129.6269 0.00396093423 214.00 +5 88.1559 120.2205 0.00224610774 214.00 +1 88.115 73.8206 0.00263134946 214.00 +2 88.0893 124.1654 0.00231170932 214.00 +4 88.0699 129.4662 0.00261074702 214.00 +5 88.0485 120.0767 0.00207870152 214.00 +1 80.7001 68.4462 0.00295567251 234.00 +2 80.6609 114.4471 0.00209499403 234.00 +4 80.6309 119.203 0.00241660919 234.00 +5 80.5955 110.7656 0.0029906521 234.00 +1 80.547 68.332 0.00225831796 234.00 +2 80.5221 114.2606 0.00209380037 234.00 +4 80.4975 119.0246 0.00242981481 234.00 +5 80.4682 110.6146 0.00228560714 234.00 +1 80.4345 68.2521 0.00213752193 234.00 +2 80.4145 114.1217 0.00311464284 234.00 +4 80.3963 118.8863 0.0016065491 234.00 +5 80.3763 110.4926 0.00315023809 234.00 +1 73.4657 63.1351 0.00146594679 257.00 +2 73.4316 104.8954 0.00361718122 257.00 +4 73.3998 109.1488 0.00274517759 257.00 +5 73.3663 101.6327 0.00223629157 257.00 +1 73.3222 63.0303 0.00237086482 257.00 +2 73.3044 104.7176 0.00229434086 257.00 +4 73.2852 108.9732 0.00180443897 257.00 +5 73.258 101.485 0.00228910463 257.00 +1 73.2256 62.9513 0.00172655727 257.00 +2 73.2048 104.5913 0.00222283603 257.00 +4 73.1919 108.8425 0.00173349358 257.00 +5 73.1754 101.3761 0.00150632002 257.00 +1 65.6264 57.2969 0.00342184161 288.00 +2 65.5914 94.3951 0.00322939623 288.00 +4 65.5603 98.0976 0.00269888866 288.00 +5 65.534 91.5838 0.0016297239 288.00 +1 65.4987 57.1998 0.00216702561 288.00 +2 65.4726 94.2297 0.00221833271 288.00 +4 65.4501 97.9437 0.0022318154 288.00 +5 65.4288 91.4506 0.00201593651 288.00 +1 65.3927 57.1256 0.00183956517 288.00 +2 65.3799 94.1081 0.0020709901 288.00 +4 65.3637 97.8253 0.00245377261 288.00 +5 65.3477 91.3434 0.00302059597 288.00 +1 62.5509 54.992 0.00235372046 302.00 +2 62.5204 90.2318 0.00352930588 302.00 +4 62.4945 93.736 0.00235372046 302.00 +5 62.4708 87.6076 0.00251077677 302.00 +1 62.4277 54.9045 0.00240104144 302.00 +2 62.4126 90.084 0.00183847763 302.00 +4 62.3975 93.5901 0.00317316876 302.00 +5 62.379 87.4904 0.00320374781 302.00 +1 62.3536 54.84 0.00191833261 302.00 +2 62.3361 89.9835 0.00211778186 302.00 +4 62.3205 93.4966 0.00353327044 302.00 +5 62.307 87.3994 0.00167451486 302.00 +1 60.9288 53.7648 0.0030423675 310.00 +2 60.9031 88.0413 0.00253791253 310.00 +4 60.8816 91.4297 0.00190814046 310.00 +5 60.8552 85.503 0.00156843871 310.00 +1 60.8232 53.6762 0.00143387587 310.00 +2 60.8025 87.8947 0.00288461436 310.00 +4 60.7844 91.2913 0.00309208667 310.00 +5 60.7667 85.3895 0.00291976026 310.00 +1 60.7398 53.6197 0.00210736803 310.00 +2 60.7293 87.8011 0.00240187427 310.00 +4 60.7164 91.1969 0.00126055543 310.00 +5 60.7072 85.311 0.00166132477 310.00 diff --git a/calib_data_2021-05-04.txt b/calib_data_2021-05-04.txt new file mode 100644 index 0000000..0868208 --- /dev/null +++ b/calib_data_2021-05-04.txt @@ -0,0 +1,7 @@ +#zcalib (format 2021 M.Zolliker) +#chan, time since midnight, R ref, R meas, sigma, Tset(nominal) +1 33797.96 10541.46 0.142267354 1.38 +2 33804.99 32620.24 6.55925606 1.38 +4 33799.47 22597.41 1.88830347 1.38 +5 33789.71 25499.35 0.411400049 1.38 +6 33793.36 5197.125 0.225970131 1.38 diff --git a/for_carolin/X133928.340 b/for_carolin/X133928.340 new file mode 100644 index 0000000..4e7e9ab --- /dev/null +++ b/for_carolin/X133928.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD +Serial Number: X133928 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 +Calibration date: 2018-11-20 + +No. Units Temperature (K) + + 1 4.040199 1.000000 + 2 3.873396 1.200000 + 3 3.751918 1.400000 + 4 3.731633 1.439312 + 5 3.711766 1.479727 + 6 3.692296 1.521278 + 7 3.673205 1.563995 + 8 3.654474 1.607912 + 9 3.636089 1.653062 + 10 3.618031 1.699479 + 11 3.600287 1.747201 + 12 3.582841 1.796262 + 13 3.565681 1.846700 + 14 3.548794 1.898555 + 15 3.532173 1.951866 + 16 3.515811 2.006675 + 17 3.499698 2.063022 + 18 3.483829 2.120951 + 19 3.468195 2.180507 + 20 3.452790 2.241735 + 21 3.437610 2.304683 + 22 3.422652 2.369398 + 23 3.407915 2.435930 + 24 3.393395 2.504331 + 25 3.379089 2.574652 + 26 3.364992 2.646948 + 27 3.351102 2.721273 + 28 3.337414 2.797686 + 29 3.323924 2.876245 + 30 3.310628 2.957009 + 31 3.297520 3.040042 + 32 3.284598 3.125406 + 33 3.271855 3.213166 + 34 3.259289 3.303392 + 35 3.246893 3.396150 + 36 3.234663 3.491514 + 37 3.222593 3.589555 + 38 3.210679 3.690349 + 39 3.198915 3.793973 + 40 3.187299 3.900507 + 41 3.175825 4.010033 + 42 3.164489 4.122634 + 43 3.153288 4.238397 + 44 3.142218 4.357410 + 45 3.131276 4.479766 + 46 3.120461 4.605557 + 47 3.109769 4.734880 + 48 3.099199 4.867834 + 49 3.088747 5.004522 + 50 3.078412 5.145049 + 51 3.068192 5.289521 + 52 3.058083 5.438050 + 53 3.048085 5.590749 + 54 3.038194 5.747736 + 55 3.028407 5.909132 + 56 3.018720 6.075059 + 57 3.009131 6.245646 + 58 2.999635 6.421023 + 59 2.990230 6.601324 + 60 2.980914 6.786688 + 61 2.971684 6.977257 + 62 2.962536 7.173177 + 63 2.953469 7.374599 + 64 2.944480 7.581676 + 65 2.935566 7.794568 + 66 2.926726 8.013439 + 67 2.917956 8.238455 + 68 2.909254 8.469789 + 69 2.900619 8.707619 + 70 2.892048 8.952128 + 71 2.883540 9.203502 + 72 2.875093 9.461935 + 73 2.866705 9.727624 + 74 2.858374 10.00077 + 75 2.850098 10.28159 + 76 2.841874 10.57030 + 77 2.833699 10.86711 + 78 2.825567 11.17226 + 79 2.817476 11.48597 + 80 2.809423 11.80850 + 81 2.801405 12.14008 + 82 2.793418 12.48097 + 83 2.785459 12.83143 + 84 2.777526 13.19174 + 85 2.769617 13.56216 + 86 2.761728 13.94298 + 87 2.753857 14.33450 + 88 2.746002 14.73701 + 89 2.738160 15.15082 + 90 2.730331 15.57626 + 91 2.722512 16.01363 + 92 2.714701 16.46329 + 93 2.706896 16.92558 + 94 2.699095 17.40085 + 95 2.691296 17.88946 + 96 2.683498 18.39179 + 97 2.675699 18.90823 + 98 2.667897 19.43917 + 99 2.660089 19.98502 +100 2.652274 20.54620 +101 2.644450 21.12313 +102 2.636614 21.71626 +103 2.628764 22.32605 +104 2.620899 22.95297 +105 2.613015 23.59748 +106 2.605111 24.26009 +107 2.597185 24.94131 +108 2.589235 25.64166 +109 2.581262 26.36167 +110 2.573263 27.10191 +111 2.565239 27.86292 +112 2.557189 28.64531 +113 2.549112 29.44966 +114 2.541008 30.27661 +115 2.532875 31.12677 +116 2.524713 32.00080 +117 2.516521 32.89938 +118 2.508299 33.82319 +119 2.500046 34.77294 +120 2.491761 35.74936 +121 2.483445 36.75319 +122 2.475096 37.78522 +123 2.466715 38.84622 +124 2.458301 39.93701 +125 2.449854 41.05844 +126 2.441375 42.21135 +127 2.432863 43.39664 +128 2.424318 44.61521 +129 2.415741 45.86800 +130 2.407131 47.15596 +131 2.398489 48.48010 +132 2.389815 49.84141 +133 2.381107 51.24095 +134 2.372368 52.67978 +135 2.363596 54.15902 +136 2.354792 55.67980 +137 2.345955 57.24328 +138 2.337086 58.85066 +139 2.328184 60.50318 +140 2.319249 62.20210 +141 2.310280 63.94872 +142 2.301278 65.74439 +143 2.292242 67.59048 +144 2.283171 69.48841 +145 2.274067 71.43963 +146 2.264927 73.44565 +147 2.255753 75.50799 +148 2.246543 77.62824 +149 2.237297 79.80803 +150 2.228014 82.04902 +151 2.218694 84.35294 +152 2.209337 86.72156 +153 2.199941 89.15669 +154 2.190507 91.66019 +155 2.181034 94.23400 +156 2.171522 96.88007 +157 2.161971 99.60045 +158 2.152379 102.3972 +159 2.142748 105.2725 +160 2.133078 108.2285 +161 2.123368 111.2676 +162 2.113618 114.3920 +163 2.103827 117.6041 +164 2.093996 120.9064 +165 2.084124 124.3014 +166 2.074211 127.7918 +167 2.064256 131.3801 +168 2.054259 135.0693 +169 2.044220 138.8620 +170 2.034139 142.7612 +171 2.024015 146.7699 +172 2.013848 150.8912 +173 2.003638 155.1282 +174 1.993389 159.4842 +175 1.983103 163.9624 +176 1.972782 168.5665 +177 1.962430 173.2998 +178 1.952049 178.1660 +179 1.941642 183.1689 +180 1.931213 188.3123 +181 1.920764 193.6000 +182 1.910299 199.0363 +183 1.899820 204.6252 +184 1.889330 210.3710 +185 1.878834 216.2782 +186 1.868333 222.3513 +187 1.857831 228.5949 +188 1.847331 235.0138 +189 1.836835 241.6129 +190 1.826348 248.3974 +191 1.815872 255.3723 +192 1.805412 262.5431 +193 1.794975 269.9153 +194 1.784566 277.4945 +195 1.774192 285.2865 +196 1.763858 293.2973 +197 1.753570 301.5330 +198 1.743331 310.0000 +199 1.720428 330.0000 diff --git a/for_carolin/X133978.340 b/for_carolin/X133978.340 new file mode 100644 index 0000000..01545a7 --- /dev/null +++ b/for_carolin/X133978.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD +Serial Number: X133978 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 +Calibration date: 2018-10-25 + +No. Units Temperature (K) + + 1 4.077800 1.000000 + 2 3.916201 1.200000 + 3 3.794128 1.400000 + 4 3.773491 1.439312 + 5 3.753227 1.479727 + 6 3.733324 1.521278 + 7 3.713774 1.563995 + 8 3.694567 1.607912 + 9 3.675694 1.653062 + 10 3.657143 1.699479 + 11 3.638907 1.747201 + 12 3.620976 1.796262 + 13 3.603340 1.846700 + 14 3.585991 1.898555 + 15 3.568920 1.951866 + 16 3.552118 2.006675 + 17 3.535577 2.063022 + 18 3.519290 2.120951 + 19 3.503248 2.180507 + 20 3.487444 2.241735 + 21 3.471874 2.304683 + 22 3.456536 2.369398 + 23 3.441426 2.435930 + 24 3.426542 2.504331 + 25 3.411880 2.574652 + 26 3.397435 2.646948 + 27 3.383203 2.721273 + 28 3.369179 2.797686 + 29 3.355360 2.876245 + 30 3.341741 2.957009 + 31 3.328317 3.040042 + 32 3.315083 3.125406 + 33 3.302034 3.213166 + 34 3.289167 3.303392 + 35 3.276476 3.396150 + 36 3.263954 3.491514 + 37 3.251598 3.589555 + 38 3.239402 3.690349 + 39 3.227362 3.793973 + 40 3.215474 3.900507 + 41 3.203732 4.010033 + 42 3.192135 4.122634 + 43 3.180676 4.238397 + 44 3.169354 4.357410 + 45 3.158166 4.479766 + 46 3.147109 4.605557 + 47 3.136180 4.734880 + 48 3.125379 4.867834 + 49 3.114701 5.004522 + 50 3.104145 5.145049 + 51 3.093708 5.289521 + 52 3.083388 5.438050 + 53 3.073182 5.590749 + 54 3.063087 5.747736 + 55 3.053100 5.909132 + 56 3.043216 6.075059 + 57 3.033433 6.245646 + 58 3.023747 6.421023 + 59 3.014154 6.601324 + 60 3.004651 6.786688 + 61 2.995237 6.977257 + 62 2.985907 7.173177 + 63 2.976659 7.374599 + 64 2.967491 7.581676 + 65 2.958399 7.794568 + 66 2.949382 8.013439 + 67 2.940436 8.238455 + 68 2.931559 8.469789 + 69 2.922749 8.707619 + 70 2.914005 8.952128 + 71 2.905323 9.203502 + 72 2.896703 9.461935 + 73 2.888142 9.727624 + 74 2.879639 10.00077 + 75 2.871191 10.28159 + 76 2.862796 10.57030 + 77 2.854450 10.86711 + 78 2.846150 11.17226 + 79 2.837893 11.48597 + 80 2.829675 11.80850 + 81 2.821494 12.14008 + 82 2.813346 12.48097 + 83 2.805229 12.83143 + 84 2.797141 13.19174 + 85 2.789079 13.56216 + 86 2.781041 13.94298 + 87 2.773024 14.33450 + 88 2.765025 14.73701 + 89 2.757044 15.15082 + 90 2.749077 15.57626 + 91 2.741123 16.01363 + 92 2.733180 16.46329 + 93 2.725245 16.92558 + 94 2.717317 17.40085 + 95 2.709394 17.88946 + 96 2.701473 18.39179 + 97 2.693553 18.90823 + 98 2.685632 19.43917 + 99 2.677708 19.98502 +100 2.669778 20.54620 +101 2.661840 21.12313 +102 2.653891 21.71626 +103 2.645929 22.32605 +104 2.637952 22.95297 +105 2.629957 23.59748 +106 2.621942 24.26009 +107 2.613904 24.94131 +108 2.605842 25.64166 +109 2.597755 26.36167 +110 2.589642 27.10191 +111 2.581502 27.86292 +112 2.573335 28.64531 +113 2.565139 29.44966 +114 2.556915 30.27661 +115 2.548661 31.12677 +116 2.540377 32.00080 +117 2.532063 32.89938 +118 2.523717 33.82319 +119 2.515340 34.77294 +120 2.506931 35.74936 +121 2.498490 36.75319 +122 2.490017 37.78522 +123 2.481511 38.84622 +124 2.472972 39.93701 +125 2.464401 41.05844 +126 2.455797 42.21135 +127 2.447160 43.39664 +128 2.438491 44.61521 +129 2.429790 45.86800 +130 2.421057 47.15596 +131 2.412291 48.48010 +132 2.403493 49.84141 +133 2.394663 51.24095 +134 2.385801 52.67978 +135 2.376908 54.15902 +136 2.367983 55.67980 +137 2.359026 57.24328 +138 2.350038 58.85066 +139 2.341019 60.50318 +140 2.331968 62.20210 +141 2.322886 63.94872 +142 2.313774 65.74439 +143 2.304630 67.59048 +144 2.295456 69.48841 +145 2.286251 71.43963 +146 2.277016 73.44565 +147 2.267751 75.50799 +148 2.258455 77.62824 +149 2.249128 79.80803 +150 2.239770 82.04902 +151 2.230378 84.35294 +152 2.220952 86.72156 +153 2.211490 89.15669 +154 2.201991 91.66019 +155 2.192454 94.23400 +156 2.182878 96.88007 +157 2.173261 99.60045 +158 2.163601 102.3972 +159 2.153899 105.2725 +160 2.144154 108.2285 +161 2.134365 111.2676 +162 2.124532 114.3920 +163 2.114656 117.6041 +164 2.104736 120.9064 +165 2.094774 124.3014 +166 2.084769 127.7918 +167 2.074722 131.3801 +168 2.064634 135.0693 +169 2.054503 138.8620 +170 2.044332 142.7612 +171 2.034120 146.7699 +172 2.023868 150.8912 +173 2.013576 155.1282 +174 2.003248 159.4842 +175 1.992886 163.9624 +176 1.982493 168.5665 +177 1.972072 173.2998 +178 1.961625 178.1660 +179 1.951156 183.1689 +180 1.940666 188.3123 +181 1.930161 193.6000 +182 1.919641 199.0363 +183 1.909111 204.6252 +184 1.898574 210.3710 +185 1.888032 216.2782 +186 1.877488 222.3513 +187 1.866946 228.5949 +188 1.856408 235.0138 +189 1.845878 241.6129 +190 1.835358 248.3974 +191 1.824851 255.3723 +192 1.814364 262.5431 +193 1.803900 269.9153 +194 1.793468 277.4945 +195 1.783072 285.2865 +196 1.772718 293.2973 +197 1.762411 301.5330 +198 1.752157 310.0000 +199 1.729223 330.0000 diff --git a/for_carolin/X133979.340 b/for_carolin/X133979.340 new file mode 100644 index 0000000..e9cd3be --- /dev/null +++ b/for_carolin/X133979.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD +Serial Number: X133979 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 +Calibration date: 2018-10-25 + +No. Units Temperature (K) + + 1 4.101690 1.000000 + 2 3.937454 1.200000 + 3 3.813584 1.400000 + 4 3.792659 1.439312 + 5 3.772114 1.479727 + 6 3.751940 1.521278 + 7 3.732127 1.563995 + 8 3.712665 1.607912 + 9 3.693543 1.653062 + 10 3.674753 1.699479 + 11 3.656283 1.747201 + 12 3.638124 1.796262 + 13 3.620267 1.846700 + 14 3.602702 1.898555 + 15 3.585420 1.951866 + 16 3.568414 2.006675 + 17 3.551673 2.063022 + 18 3.535190 2.120951 + 19 3.518958 2.180507 + 20 3.502968 2.241735 + 21 3.487216 2.304683 + 22 3.471700 2.369398 + 23 3.456417 2.435930 + 24 3.441363 2.504331 + 25 3.426534 2.574652 + 26 3.411926 2.646948 + 27 3.397536 2.721273 + 28 3.383358 2.797686 + 29 3.369389 2.876245 + 30 3.355623 2.957009 + 31 3.342057 3.040042 + 32 3.328685 3.125406 + 33 3.315503 3.213166 + 34 3.302506 3.303392 + 35 3.289689 3.396150 + 36 3.277046 3.491514 + 37 3.264572 3.589555 + 38 3.252262 3.690349 + 39 3.240112 3.793973 + 40 3.228116 3.900507 + 41 3.216270 4.010033 + 42 3.204570 4.122634 + 43 3.193012 4.238397 + 44 3.181593 4.357410 + 45 3.170308 4.479766 + 46 3.159157 4.605557 + 47 3.148137 4.734880 + 48 3.137244 4.867834 + 49 3.126477 5.004522 + 50 3.115832 5.145049 + 51 3.105308 5.289521 + 52 3.094901 5.438050 + 53 3.084611 5.590749 + 54 3.074433 5.747736 + 55 3.064364 5.909132 + 56 3.054400 6.075059 + 57 3.044538 6.245646 + 58 3.034773 6.421023 + 59 3.025104 6.601324 + 60 3.015527 6.786688 + 61 3.006039 6.977257 + 62 2.996637 7.173177 + 63 2.987318 7.374599 + 64 2.978081 7.581676 + 65 2.968922 7.794568 + 66 2.959838 8.013439 + 67 2.950827 8.238455 + 68 2.941887 8.469789 + 69 2.933015 8.707619 + 70 2.924210 8.952128 + 71 2.915469 9.203502 + 72 2.906791 9.461935 + 73 2.898174 9.727624 + 74 2.889616 10.00077 + 75 2.881114 10.28159 + 76 2.872667 10.57030 + 77 2.864270 10.86711 + 78 2.855920 11.17226 + 79 2.847614 11.48597 + 80 2.839347 11.80850 + 81 2.831118 12.14008 + 82 2.822924 12.48097 + 83 2.814760 12.83143 + 84 2.806626 13.19174 + 85 2.798518 13.56216 + 86 2.790434 13.94298 + 87 2.782372 14.33450 + 88 2.774328 14.73701 + 89 2.766302 15.15082 + 90 2.758290 15.57626 + 91 2.750290 16.01363 + 92 2.742301 16.46329 + 93 2.734321 16.92558 + 94 2.726346 17.40085 + 95 2.718376 17.88946 + 96 2.710409 18.39179 + 97 2.702441 18.90823 + 98 2.694472 19.43917 + 99 2.686499 19.98502 +100 2.678520 20.54620 +101 2.670532 21.12313 +102 2.662533 21.71626 +103 2.654522 22.32605 +104 2.646495 22.95297 +105 2.638451 23.59748 +106 2.630386 24.26009 +107 2.622300 24.94131 +108 2.614191 25.64166 +109 2.606057 26.36167 +110 2.597899 27.10191 +111 2.589716 27.86292 +112 2.581506 28.64531 +113 2.573270 29.44966 +114 2.565005 30.27661 +115 2.556713 31.12677 +116 2.548390 32.00080 +117 2.540038 32.89938 +118 2.531655 33.82319 +119 2.523240 34.77294 +120 2.514793 35.74936 +121 2.506314 36.75319 +122 2.497801 37.78522 +123 2.489256 38.84622 +124 2.480676 39.93701 +125 2.472063 41.05844 +126 2.463416 42.21135 +127 2.454735 43.39664 +128 2.446020 44.61521 +129 2.437272 45.86800 +130 2.428491 47.15596 +131 2.419677 48.48010 +132 2.410830 49.84141 +133 2.401950 51.24095 +134 2.393037 52.67978 +135 2.384091 54.15902 +136 2.375113 55.67980 +137 2.366102 57.24328 +138 2.357059 58.85066 +139 2.347985 60.50318 +140 2.338878 62.20210 +141 2.329739 63.94872 +142 2.320569 65.74439 +143 2.311367 67.59048 +144 2.302134 69.48841 +145 2.292870 71.43963 +146 2.283575 73.44565 +147 2.274249 75.50799 +148 2.264892 77.62824 +149 2.255504 79.80803 +150 2.246084 82.04902 +151 2.236629 84.35294 +152 2.227140 86.72156 +153 2.217615 89.15669 +154 2.208052 91.66019 +155 2.198450 94.23400 +156 2.188809 96.88007 +157 2.179125 99.60045 +158 2.169399 102.3972 +159 2.159630 105.2725 +160 2.149816 108.2285 +161 2.139958 111.2676 +162 2.130056 114.3920 +163 2.120109 117.6041 +164 2.110118 120.9064 +165 2.100084 124.3014 +166 2.090005 127.7918 +167 2.079883 131.3801 +168 2.069718 135.0693 +169 2.059510 138.8620 +170 2.049260 142.7612 +171 2.038967 146.7699 +172 2.028633 150.8912 +173 2.018257 155.1282 +174 2.007843 159.4842 +175 1.997393 163.9624 +176 1.986910 168.5665 +177 1.976397 173.2998 +178 1.965856 178.1660 +179 1.955291 183.1689 +180 1.944705 188.3123 +181 1.934099 193.6000 +182 1.923478 199.0363 +183 1.912844 204.6252 +184 1.902201 210.3710 +185 1.891551 216.2782 +186 1.880898 222.3513 +187 1.870244 228.5949 +188 1.859592 235.0138 +189 1.848945 241.6129 +190 1.838307 248.3974 +191 1.827681 255.3723 +192 1.817070 262.5431 +193 1.806483 269.9153 +194 1.795925 277.4945 +195 1.785401 285.2865 +196 1.774917 293.2973 +197 1.764479 301.5330 +198 1.754092 310.0000 +199 1.730852 330.0000 diff --git a/for_carolin/X133980.340 b/for_carolin/X133980.340 new file mode 100644 index 0000000..05fbb9b --- /dev/null +++ b/for_carolin/X133980.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD +Serial Number: X133980 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 +Calibration date: 2018-11-15 + +No. Units Temperature (K) + + 1 4.049365 1.000000 + 2 3.888573 1.200000 + 3 3.767837 1.400000 + 4 3.747471 1.439312 + 5 3.727483 1.479727 + 6 3.707861 1.521278 + 7 3.688595 1.563995 + 8 3.669673 1.607912 + 9 3.651085 1.653062 + 10 3.632820 1.699479 + 11 3.614869 1.747201 + 12 3.597221 1.796262 + 13 3.579866 1.846700 + 14 3.562796 1.898555 + 15 3.545999 1.951866 + 16 3.529469 2.006675 + 17 3.513195 2.063022 + 18 3.497171 2.120951 + 19 3.481387 2.180507 + 20 3.465837 2.241735 + 21 3.450515 2.304683 + 22 3.435419 2.369398 + 23 3.420546 2.435930 + 24 3.405893 2.504331 + 25 3.391456 2.574652 + 26 3.377229 2.646948 + 27 3.363211 2.721273 + 28 3.349396 2.797686 + 29 3.335779 2.876245 + 30 3.322358 2.957009 + 31 3.309128 3.040042 + 32 3.296084 3.125406 + 33 3.283222 3.213166 + 34 3.270537 3.303392 + 35 3.258024 3.396150 + 36 3.245679 3.491514 + 37 3.233496 3.589555 + 38 3.221470 3.690349 + 39 3.209597 3.793973 + 40 3.197872 3.900507 + 41 3.186291 4.010033 + 42 3.174851 4.122634 + 43 3.163546 4.238397 + 44 3.152375 4.357410 + 45 3.141334 4.479766 + 46 3.130421 4.605557 + 47 3.119633 4.734880 + 48 3.108968 4.867834 + 49 3.098424 5.004522 + 50 3.087997 5.145049 + 51 3.077687 5.289521 + 52 3.067491 5.438050 + 53 3.057406 5.590749 + 54 3.047430 5.747736 + 55 3.037559 5.909132 + 56 3.027791 6.075059 + 57 3.018121 6.245646 + 58 3.008545 6.421023 + 59 2.999063 6.601324 + 60 2.989669 6.786688 + 61 2.980363 6.977257 + 62 2.971140 7.173177 + 63 2.961999 7.374599 + 64 2.952937 7.581676 + 65 2.943952 7.794568 + 66 2.935040 8.013439 + 67 2.926200 8.238455 + 68 2.917429 8.469789 + 69 2.908725 8.707619 + 70 2.900087 8.952128 + 71 2.891512 9.203502 + 72 2.882999 9.461935 + 73 2.874545 9.727624 + 74 2.866150 10.00077 + 75 2.857810 10.28159 + 76 2.849523 10.57030 + 77 2.841284 10.86711 + 78 2.833091 11.17226 + 79 2.824938 11.48597 + 80 2.816824 11.80850 + 81 2.808746 12.14008 + 82 2.800699 12.48097 + 83 2.792681 12.83143 + 84 2.784689 13.19174 + 85 2.776721 13.56216 + 86 2.768774 13.94298 + 87 2.760846 14.33450 + 88 2.752934 14.73701 + 89 2.745037 15.15082 + 90 2.737152 15.57626 + 91 2.729277 16.01363 + 92 2.721411 16.46329 + 93 2.713551 16.92558 + 94 2.705696 17.40085 + 95 2.697844 17.88946 + 96 2.689992 18.39179 + 97 2.682140 18.90823 + 98 2.674285 19.43917 + 99 2.666425 19.98502 +100 2.658558 20.54620 +101 2.650682 21.12313 +102 2.642795 21.71626 +103 2.634894 22.32605 +104 2.626978 22.95297 +105 2.619044 23.59748 +106 2.611090 24.26009 +107 2.603113 24.94131 +108 2.595114 25.64166 +109 2.587090 26.36167 +110 2.579042 27.10191 +111 2.570968 27.86292 +112 2.562869 28.64531 +113 2.554743 29.44966 +114 2.546589 30.27661 +115 2.538407 31.12677 +116 2.530196 32.00080 +117 2.521956 32.89938 +118 2.513685 33.82319 +119 2.505382 34.77294 +120 2.497049 35.74936 +121 2.488683 36.75319 +122 2.480286 37.78522 +123 2.471855 38.84622 +124 2.463393 39.93701 +125 2.454897 41.05844 +126 2.446369 42.21135 +127 2.437808 43.39664 +128 2.429215 44.61521 +129 2.420589 45.86800 +130 2.411932 47.15596 +131 2.403242 48.48010 +132 2.394520 49.84141 +133 2.385766 51.24095 +134 2.376980 52.67978 +135 2.368162 54.15902 +136 2.359313 55.67980 +137 2.350431 57.24328 +138 2.341519 58.85066 +139 2.332574 60.50318 +140 2.323599 62.20210 +141 2.314592 63.94872 +142 2.305554 65.74439 +143 2.296484 67.59048 +144 2.287384 69.48841 +145 2.278253 71.43963 +146 2.269092 73.44565 +147 2.259899 75.50799 +148 2.250676 77.62824 +149 2.241422 79.80803 +150 2.232132 82.04902 +151 2.222796 84.35294 +152 2.213406 86.72156 +153 2.203955 89.15669 +154 2.194450 91.66019 +155 2.184900 94.23400 +156 2.175313 96.88007 +157 2.165695 99.60045 +158 2.156049 102.3972 +159 2.146379 105.2725 +160 2.136686 108.2285 +161 2.126967 111.2676 +162 2.117215 114.3920 +163 2.107427 117.6041 +164 2.097596 120.9064 +165 2.087719 124.3014 +166 2.077790 127.7918 +167 2.067809 131.3801 +168 2.057779 135.0693 +169 2.047701 138.8620 +170 2.037577 142.7612 +171 2.027411 146.7699 +172 2.017202 150.8912 +173 2.006955 155.1282 +174 1.996671 159.4842 +175 1.986353 163.9624 +176 1.976003 168.5665 +177 1.965625 173.2998 +178 1.955220 178.1660 +179 1.944792 183.1689 +180 1.934343 188.3123 +181 1.923877 193.6000 +182 1.913396 199.0363 +183 1.902903 204.6252 +184 1.892402 210.3710 +185 1.881894 216.2782 +186 1.871383 222.3513 +187 1.860872 228.5949 +188 1.850363 235.0138 +189 1.839860 241.6129 +190 1.829365 248.3974 +191 1.818881 255.3723 +192 1.808414 262.5431 +193 1.797969 269.9153 +194 1.787553 277.4945 +195 1.777170 285.2865 +196 1.766827 293.2973 +197 1.756528 301.5330 +198 1.746279 310.0000 +199 1.723347 330.0000 diff --git a/for_carolin/X133981.340 b/for_carolin/X133981.340 new file mode 100644 index 0000000..f7b4781 --- /dev/null +++ b/for_carolin/X133981.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD +Serial Number: X133981 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 +Calibration date: 2018-10-25 + +No. Units Temperature (K) + + 1 4.135597 1.000000 + 2 3.966906 1.200000 + 3 3.840455 1.400000 + 4 3.819145 1.439312 + 5 3.798234 1.479727 + 6 3.777712 1.521278 + 7 3.757567 1.563995 + 8 3.737787 1.607912 + 9 3.718360 1.653062 + 10 3.699276 1.699479 + 11 3.680524 1.747201 + 12 3.662093 1.796262 + 13 3.643972 1.846700 + 14 3.626152 1.898555 + 15 3.608622 1.951866 + 16 3.591373 2.006675 + 17 3.574396 2.063022 + 18 3.557681 2.120951 + 19 3.541222 2.180507 + 20 3.525009 2.241735 + 21 3.509038 2.304683 + 22 3.493305 2.369398 + 23 3.477808 2.435930 + 24 3.462542 2.504331 + 25 3.447504 2.574652 + 26 3.432691 2.646948 + 27 3.418098 2.721273 + 28 3.403722 2.797686 + 29 3.389559 2.876245 + 30 3.375604 2.957009 + 31 3.361853 3.040042 + 32 3.348301 3.125406 + 33 3.334945 3.213166 + 34 3.321780 3.303392 + 35 3.308800 3.396150 + 36 3.296000 3.491514 + 37 3.283374 3.589555 + 38 3.270918 3.690349 + 39 3.258625 3.793973 + 40 3.246491 3.900507 + 41 3.234510 4.010033 + 42 3.222677 4.122634 + 43 3.210988 4.238397 + 44 3.199439 4.357410 + 45 3.188027 4.479766 + 46 3.176748 4.605557 + 47 3.165600 4.734880 + 48 3.154580 4.867834 + 49 3.143685 5.004522 + 50 3.132912 5.145049 + 51 3.122261 5.289521 + 52 3.111728 5.438050 + 53 3.101311 5.590749 + 54 3.091010 5.747736 + 55 3.080819 5.909132 + 56 3.070736 6.075059 + 57 3.060757 6.245646 + 58 3.050880 6.421023 + 59 3.041100 6.601324 + 60 3.031416 6.786688 + 61 3.021825 6.977257 + 62 3.012325 7.173177 + 63 3.002911 7.374599 + 64 2.993582 7.581676 + 65 2.984333 7.794568 + 66 2.975162 8.013439 + 67 2.966066 8.238455 + 68 2.957042 8.469789 + 69 2.948088 8.707619 + 70 2.939201 8.952128 + 71 2.930380 9.203502 + 72 2.921622 9.461935 + 73 2.912924 9.727624 + 74 2.904286 10.00077 + 75 2.895704 10.28159 + 76 2.887177 10.57030 + 77 2.878700 10.86711 + 78 2.870270 11.17226 + 79 2.861884 11.48597 + 80 2.853538 11.80850 + 81 2.845229 12.14008 + 82 2.836956 12.48097 + 83 2.828714 12.83143 + 84 2.820502 13.19174 + 85 2.812317 13.56216 + 86 2.804156 13.94298 + 87 2.796018 14.33450 + 88 2.787899 14.73701 + 89 2.779798 15.15082 + 90 2.771713 15.57626 + 91 2.763641 16.01363 + 92 2.755580 16.46329 + 93 2.747529 16.92558 + 94 2.739485 17.40085 + 95 2.731447 17.88946 + 96 2.723412 18.39179 + 97 2.715378 18.90823 + 98 2.707344 19.43917 + 99 2.699308 19.98502 +100 2.691266 20.54620 +101 2.683217 21.12313 +102 2.675158 21.71626 +103 2.667086 22.32605 +104 2.658999 22.95297 +105 2.650895 23.59748 +106 2.642771 24.26009 +107 2.634624 24.94131 +108 2.626454 25.64166 +109 2.618258 26.36167 +110 2.610037 27.10191 +111 2.601790 27.86292 +112 2.593515 28.64531 +113 2.585212 29.44966 +114 2.576880 30.27661 +115 2.568519 31.12677 +116 2.560128 32.00080 +117 2.551707 32.89938 +118 2.543255 33.82319 +119 2.534772 34.77294 +120 2.526258 35.74936 +121 2.517712 36.75319 +122 2.509134 37.78522 +123 2.500525 38.84622 +124 2.491883 39.93701 +125 2.483209 41.05844 +126 2.474502 42.21135 +127 2.465764 43.39664 +128 2.456993 44.61521 +129 2.448190 45.86800 +130 2.439355 47.15596 +131 2.430487 48.48010 +132 2.421587 49.84141 +133 2.412655 51.24095 +134 2.403691 52.67978 +135 2.394694 54.15902 +136 2.385665 55.67980 +137 2.376604 57.24328 +138 2.367511 58.85066 +139 2.358386 60.50318 +140 2.349229 62.20210 +141 2.340040 63.94872 +142 2.330819 65.74439 +143 2.321567 67.59048 +144 2.312283 69.48841 +145 2.302967 71.43963 +146 2.293620 73.44565 +147 2.284242 75.50799 +148 2.274833 77.62824 +149 2.265391 79.80803 +150 2.255917 82.04902 +151 2.246409 84.35294 +152 2.236865 86.72156 +153 2.227285 89.15669 +154 2.217668 91.66019 +155 2.208012 94.23400 +156 2.198316 96.88007 +157 2.188578 99.60045 +158 2.178799 102.3972 +159 2.168976 105.2725 +160 2.159110 108.2285 +161 2.149200 111.2676 +162 2.139247 114.3920 +163 2.129250 117.6041 +164 2.119210 120.9064 +165 2.109127 124.3014 +166 2.099001 127.7918 +167 2.088832 131.3801 +168 2.078621 135.0693 +169 2.068368 138.8620 +170 2.058073 142.7612 +171 2.047736 146.7699 +172 2.037358 150.8912 +173 2.026941 155.1282 +174 2.016485 159.4842 +175 2.005994 163.9624 +176 1.995471 168.5665 +177 1.984919 173.2998 +178 1.974340 178.1660 +179 1.963737 183.1689 +180 1.953114 188.3123 +181 1.942473 193.6000 +182 1.931818 199.0363 +183 1.921150 204.6252 +184 1.910475 210.3710 +185 1.899793 216.2782 +186 1.889110 222.3513 +187 1.878427 228.5949 +188 1.867747 235.0138 +189 1.857074 241.6129 +190 1.846411 248.3974 +191 1.835760 255.3723 +192 1.825127 262.5431 +193 1.814518 269.9153 +194 1.803940 277.4945 +195 1.793397 285.2865 +196 1.782896 293.2973 +197 1.772442 301.5330 +198 1.762040 310.0000 +199 1.738772 330.0000 diff --git a/for_carolin/X133982.340 b/for_carolin/X133982.340 new file mode 100644 index 0000000..0d8be63 --- /dev/null +++ b/for_carolin/X133982.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD +Serial Number: X133982 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 +Calibration date: 2018-11-20 + +No. Units Temperature (K) + + 1 3.991910 1.000000 + 2 3.829676 1.200000 + 3 3.711403 1.400000 + 4 3.691643 1.439312 + 5 3.672287 1.479727 + 6 3.653315 1.521278 + 7 3.634710 1.563995 + 8 3.616454 1.607912 + 9 3.598531 1.653062 + 10 3.580926 1.699479 + 11 3.563625 1.747201 + 12 3.546612 1.796262 + 13 3.529875 1.846700 + 14 3.513404 1.898555 + 15 3.497190 1.951866 + 16 3.481225 2.006675 + 17 3.465502 2.063022 + 18 3.450014 2.120951 + 19 3.434753 2.180507 + 20 3.419713 2.241735 + 21 3.404890 2.304683 + 22 3.390282 2.369398 + 23 3.375886 2.435930 + 24 3.361699 2.504331 + 25 3.347719 2.574652 + 26 3.333941 2.646948 + 27 3.320362 2.721273 + 28 3.306977 2.797686 + 29 3.293784 2.876245 + 30 3.280777 2.957009 + 31 3.267954 3.040042 + 32 3.255308 3.125406 + 33 3.242837 3.213166 + 34 3.230537 3.303392 + 35 3.218401 3.396150 + 36 3.206425 3.491514 + 37 3.194605 3.589555 + 38 3.182935 3.690349 + 39 3.171412 3.793973 + 40 3.160031 3.900507 + 41 3.148788 4.010033 + 42 3.137679 4.122634 + 43 3.126700 4.238397 + 44 3.115849 4.357410 + 45 3.105123 4.479766 + 46 3.094519 4.605557 + 47 3.084035 4.734880 + 48 3.073669 4.867834 + 49 3.063418 5.004522 + 50 3.053281 5.145049 + 51 3.043254 5.289521 + 52 3.033337 5.438050 + 53 3.023527 5.590749 + 54 3.013820 5.747736 + 55 3.004215 5.909132 + 56 2.994707 6.075059 + 57 2.985294 6.245646 + 58 2.975971 6.421023 + 59 2.966737 6.601324 + 60 2.957588 6.786688 + 61 2.948522 6.977257 + 62 2.939537 7.173177 + 63 2.930629 7.374599 + 64 2.921797 7.581676 + 65 2.913038 7.794568 + 66 2.904349 8.013439 + 67 2.895728 8.238455 + 68 2.887174 8.469789 + 69 2.878683 8.707619 + 70 2.870255 8.952128 + 71 2.861887 9.203502 + 72 2.853577 9.461935 + 73 2.845325 9.727624 + 74 2.837128 10.00077 + 75 2.828984 10.28159 + 76 2.820890 10.57030 + 77 2.812842 10.86711 + 78 2.804837 11.17226 + 79 2.796872 11.48597 + 80 2.788944 11.80850 + 81 2.781048 12.14008 + 82 2.773184 12.48097 + 83 2.765347 12.83143 + 84 2.757535 13.19174 + 85 2.749747 13.56216 + 86 2.741978 13.94298 + 87 2.734227 14.33450 + 88 2.726491 14.73701 + 89 2.718770 15.15082 + 90 2.711060 15.57626 + 91 2.703359 16.01363 + 92 2.695666 16.46329 + 93 2.687978 16.92558 + 94 2.680295 17.40085 + 95 2.672613 17.88946 + 96 2.664931 18.39179 + 97 2.657247 18.90823 + 98 2.649559 19.43917 + 99 2.641866 19.98502 +100 2.634164 20.54620 +101 2.626453 21.12313 +102 2.618729 21.71626 +103 2.610992 22.32605 +104 2.603238 22.95297 +105 2.595465 23.59748 +106 2.587671 24.26009 +107 2.579855 24.94131 +108 2.572015 25.64166 +109 2.564151 26.36167 +110 2.556261 27.10191 +111 2.548346 27.86292 +112 2.540404 28.64531 +113 2.532435 29.44966 +114 2.524438 30.27661 +115 2.516413 31.12677 +116 2.508358 32.00080 +117 2.500274 32.89938 +118 2.492159 33.82319 +119 2.484012 34.77294 +120 2.475834 35.74936 +121 2.467624 36.75319 +122 2.459381 37.78522 +123 2.451106 38.84622 +124 2.442798 39.93701 +125 2.434457 41.05844 +126 2.426083 42.21135 +127 2.417676 43.39664 +128 2.409236 44.61521 +129 2.400762 45.86800 +130 2.392256 47.15596 +131 2.383717 48.48010 +132 2.375144 49.84141 +133 2.366539 51.24095 +134 2.357900 52.67978 +135 2.349228 54.15902 +136 2.340522 55.67980 +137 2.331783 57.24328 +138 2.323011 58.85066 +139 2.314206 60.50318 +140 2.305367 62.20210 +141 2.296495 63.94872 +142 2.287589 65.74439 +143 2.278650 67.59048 +144 2.269677 69.48841 +145 2.260671 71.43963 +146 2.251631 73.44565 +147 2.242558 75.50799 +148 2.233450 77.62824 +149 2.224309 79.80803 +150 2.215132 82.04902 +151 2.205920 84.35294 +152 2.196671 86.72156 +153 2.187385 89.15669 +154 2.178061 91.66019 +155 2.168698 94.23400 +156 2.159296 96.88007 +157 2.149854 99.60045 +158 2.140371 102.3972 +159 2.130847 105.2725 +160 2.121282 108.2285 +161 2.111676 111.2676 +162 2.102029 114.3920 +163 2.092340 117.6041 +164 2.082610 120.9064 +165 2.072838 124.3014 +166 2.063024 127.7918 +167 2.053167 131.3801 +168 2.043269 135.0693 +169 2.033327 138.8620 +170 2.023344 142.7612 +171 2.013317 146.7699 +172 2.003248 150.8912 +173 1.993136 155.1282 +174 1.982985 159.4842 +175 1.972797 163.9624 +176 1.962574 168.5665 +177 1.952321 173.2998 +178 1.942039 178.1660 +179 1.931731 183.1689 +180 1.921402 188.3123 +181 1.911052 193.6000 +182 1.900687 199.0363 +183 1.890308 204.6252 +184 1.879920 210.3710 +185 1.869524 216.2782 +186 1.859124 222.3513 +187 1.848724 228.5949 +188 1.838325 235.0138 +189 1.827932 241.6129 +190 1.817548 248.3974 +191 1.807174 255.3723 +192 1.796818 262.5431 +193 1.786484 269.9153 +194 1.776179 277.4945 +195 1.765909 285.2865 +196 1.755679 293.2973 +197 1.745495 301.5330 +198 1.735361 310.0000 +199 1.712694 330.0000 diff --git a/for_carolin/X134003.340 b/for_carolin/X134003.340 new file mode 100644 index 0000000..d2a3bb8 --- /dev/null +++ b/for_carolin/X134003.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD +Serial Number: X134003 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 +Calibration date: 2018-11-15 + +No. Units Temperature (K) + + 1 3.980956 1.000000 + 2 3.826341 1.200000 + 3 3.710135 1.400000 + 4 3.690522 1.439312 + 5 3.671267 1.479727 + 6 3.652362 1.521278 + 7 3.633795 1.563995 + 8 3.615556 1.607912 + 9 3.597635 1.653062 + 10 3.580022 1.699479 + 11 3.562707 1.747201 + 12 3.545680 1.796262 + 13 3.528933 1.846700 + 14 3.512455 1.898555 + 15 3.496239 1.951866 + 16 3.480276 2.006675 + 17 3.464557 2.063022 + 18 3.449074 2.120951 + 19 3.433820 2.180507 + 20 3.418789 2.241735 + 21 3.403974 2.304683 + 22 3.389375 2.369398 + 23 3.374988 2.435930 + 24 3.360809 2.504331 + 25 3.346836 2.574652 + 26 3.333064 2.646948 + 27 3.319490 2.721273 + 28 3.306109 2.797686 + 29 3.292919 2.876245 + 30 3.279914 2.957009 + 31 3.267091 3.040042 + 32 3.254446 3.125406 + 33 3.241975 3.213166 + 34 3.229673 3.303392 + 35 3.217536 3.396150 + 36 3.205559 3.491514 + 37 3.193737 3.589555 + 38 3.182065 3.690349 + 39 3.170540 3.793973 + 40 3.159156 3.900507 + 41 3.147911 4.010033 + 42 3.136800 4.122634 + 43 3.125819 4.238397 + 44 3.114966 4.357410 + 45 3.104237 4.479766 + 46 3.093631 4.605557 + 47 3.083146 4.734880 + 48 3.072778 4.867834 + 49 3.062527 5.004522 + 50 3.052388 5.145049 + 51 3.042361 5.289521 + 52 3.032444 5.438050 + 53 3.022633 5.590749 + 54 3.012927 5.747736 + 55 3.003321 5.909132 + 56 2.993814 6.075059 + 57 2.984400 6.245646 + 58 2.975078 6.421023 + 59 2.965844 6.601324 + 60 2.956695 6.786688 + 61 2.947630 6.977257 + 62 2.938645 7.173177 + 63 2.929737 7.374599 + 64 2.920905 7.581676 + 65 2.912146 7.794568 + 66 2.903457 8.013439 + 67 2.894836 8.238455 + 68 2.886281 8.469789 + 69 2.877790 8.707619 + 70 2.869361 8.952128 + 71 2.860992 9.203502 + 72 2.852682 9.461935 + 73 2.844428 9.727624 + 74 2.836230 10.00077 + 75 2.828084 10.28159 + 76 2.819988 10.57030 + 77 2.811939 10.86711 + 78 2.803933 11.17226 + 79 2.795966 11.48597 + 80 2.788036 11.80850 + 81 2.780139 12.14008 + 82 2.772272 12.48097 + 83 2.764434 12.83143 + 84 2.756621 13.19174 + 85 2.748831 13.56216 + 86 2.741061 13.94298 + 87 2.733309 14.33450 + 88 2.725573 14.73701 + 89 2.717851 15.15082 + 90 2.710140 15.57626 + 91 2.702439 16.01363 + 92 2.694746 16.46329 + 93 2.687058 16.92558 + 94 2.679374 17.40085 + 95 2.671693 17.88946 + 96 2.664011 18.39179 + 97 2.656328 18.90823 + 98 2.648640 19.43917 + 99 2.640947 19.98502 +100 2.633246 20.54620 +101 2.625535 21.12313 +102 2.617812 21.71626 +103 2.610076 22.32605 +104 2.602322 22.95297 +105 2.594551 23.59748 +106 2.586758 24.26009 +107 2.578943 24.94131 +108 2.571105 25.64166 +109 2.563242 26.36167 +110 2.555354 27.10191 +111 2.547441 27.86292 +112 2.539501 28.64531 +113 2.531534 29.44966 +114 2.523540 30.27661 +115 2.515517 31.12677 +116 2.507466 32.00080 +117 2.499384 32.89938 +118 2.491272 33.82319 +119 2.483130 34.77294 +120 2.474955 35.74936 +121 2.466750 36.75319 +122 2.458512 37.78522 +123 2.450241 38.84622 +124 2.441938 39.93701 +125 2.433603 41.05844 +126 2.425234 42.21135 +127 2.416833 43.39664 +128 2.408400 44.61521 +129 2.399934 45.86800 +130 2.391435 47.15596 +131 2.382903 48.48010 +132 2.374338 49.84141 +133 2.365741 51.24095 +134 2.357111 52.67978 +135 2.348448 54.15902 +136 2.339752 55.67980 +137 2.331023 57.24328 +138 2.322261 58.85066 +139 2.313466 60.50318 +140 2.304639 62.20210 +141 2.295778 63.94872 +142 2.286885 65.74439 +143 2.277958 67.59048 +144 2.268998 69.48841 +145 2.260006 71.43963 +146 2.250980 73.44565 +147 2.241922 75.50799 +148 2.232830 77.62824 +149 2.223704 79.80803 +150 2.214543 82.04902 +151 2.205347 84.35294 +152 2.196115 86.72156 +153 2.186845 89.15669 +154 2.177537 91.66019 +155 2.168191 94.23400 +156 2.158805 96.88007 +157 2.149380 99.60045 +158 2.139915 102.3972 +159 2.130409 105.2725 +160 2.120864 108.2285 +161 2.111278 111.2676 +162 2.101653 114.3920 +163 2.091986 117.6041 +164 2.082279 120.9064 +165 2.072532 124.3014 +166 2.062743 127.7918 +167 2.052914 131.3801 +168 2.043043 135.0693 +169 2.033131 138.8620 +170 2.023177 142.7612 +171 2.013182 146.7699 +172 2.003145 150.8912 +173 1.993067 155.1282 +174 1.982950 159.4842 +175 1.972798 163.9624 +176 1.962613 168.5665 +177 1.952398 173.2998 +178 1.942156 178.1660 +179 1.931890 183.1689 +180 1.921602 188.3123 +181 1.911297 193.6000 +182 1.900976 199.0363 +183 1.890644 204.6252 +184 1.880303 210.3710 +185 1.869956 216.2782 +186 1.859607 222.3513 +187 1.849258 228.5949 +188 1.838913 235.0138 +189 1.828574 241.6129 +190 1.818245 248.3974 +191 1.807929 255.3723 +192 1.797631 262.5431 +193 1.787357 269.9153 +194 1.777114 277.4945 +195 1.766906 285.2865 +196 1.756740 293.2973 +197 1.746620 301.5330 +198 1.736553 310.0000 +199 1.714039 330.0000 diff --git a/for_carolin/X134014.340 b/for_carolin/X134014.340 new file mode 100644 index 0000000..9630d2e --- /dev/null +++ b/for_carolin/X134014.340 @@ -0,0 +1,209 @@ +Sensor Model: CX-1050-SD +Serial Number: X134014 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 330.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 199 +Calibration date: 2018-11-15 + +No. Units Temperature (K) + + 1 4.015980 1.000000 + 2 3.858436 1.200000 + 3 3.739982 1.400000 + 4 3.719988 1.439312 + 5 3.700361 1.479727 + 6 3.681090 1.521278 + 7 3.662165 1.563995 + 8 3.643574 1.607912 + 9 3.625309 1.653062 + 10 3.607359 1.699479 + 11 3.589714 1.747201 + 12 3.572364 1.796262 + 13 3.555300 1.846700 + 14 3.538512 1.898555 + 15 3.521992 1.951866 + 16 3.505730 2.006675 + 17 3.489720 2.063022 + 18 3.473951 2.120951 + 19 3.458418 2.180507 + 20 3.443113 2.241735 + 21 3.428030 2.304683 + 22 3.413168 2.369398 + 23 3.398524 2.435930 + 24 3.384094 2.504331 + 25 3.369874 2.574652 + 26 3.355862 2.646948 + 27 3.342052 2.721273 + 28 3.328440 2.797686 + 29 3.315024 2.876245 + 30 3.301798 2.957009 + 31 3.288759 3.040042 + 32 3.275902 3.125406 + 33 3.263223 3.213166 + 34 3.250717 3.303392 + 35 3.238380 3.396150 + 36 3.226207 3.491514 + 37 3.214192 3.589555 + 38 3.202331 3.690349 + 39 3.190620 3.793973 + 40 3.179054 3.900507 + 41 3.167630 4.010033 + 42 3.156342 4.122634 + 43 3.145188 4.238397 + 44 3.134164 4.357410 + 45 3.123267 4.479766 + 46 3.112496 4.605557 + 47 3.101847 4.734880 + 48 3.091319 4.867834 + 49 3.080910 5.004522 + 50 3.070616 5.145049 + 51 3.060435 5.289521 + 52 3.050366 5.438050 + 53 3.040407 5.590749 + 54 3.030554 5.747736 + 55 3.020804 5.909132 + 56 3.011154 6.075059 + 57 3.001601 6.245646 + 58 2.992140 6.421023 + 59 2.982770 6.601324 + 60 2.973487 6.786688 + 61 2.964289 6.977257 + 62 2.955174 7.173177 + 63 2.946138 7.374599 + 64 2.937179 7.581676 + 65 2.928295 7.794568 + 66 2.919483 8.013439 + 67 2.910741 8.238455 + 68 2.902067 8.469789 + 69 2.893458 8.707619 + 70 2.884913 8.952128 + 71 2.876429 9.203502 + 72 2.868006 9.461935 + 73 2.859641 9.727624 + 74 2.851333 10.00077 + 75 2.843079 10.28159 + 76 2.834876 10.57030 + 77 2.826721 10.86711 + 78 2.818609 11.17226 + 79 2.810538 11.48597 + 80 2.802504 11.80850 + 81 2.794505 12.14008 + 82 2.786536 12.48097 + 83 2.778596 12.83143 + 84 2.770682 13.19174 + 85 2.762791 13.56216 + 86 2.754920 13.94298 + 87 2.747067 14.33450 + 88 2.739230 14.73701 + 89 2.731407 15.15082 + 90 2.723596 15.57626 + 91 2.715796 16.01363 + 92 2.708003 16.46329 + 93 2.700216 16.92558 + 94 2.692433 17.40085 + 95 2.684653 17.88946 + 96 2.676874 18.39179 + 97 2.669093 18.90823 + 98 2.661309 19.43917 + 99 2.653520 19.98502 +100 2.645724 20.54620 +101 2.637918 21.12313 +102 2.630101 21.71626 +103 2.622271 22.32605 +104 2.614424 22.95297 +105 2.606560 23.59748 +106 2.598675 24.26009 +107 2.590768 24.94131 +108 2.582838 25.64166 +109 2.574883 26.36167 +110 2.566905 27.10191 +111 2.558900 27.86292 +112 2.550870 28.64531 +113 2.542813 29.44966 +114 2.534729 30.27661 +115 2.526616 31.12677 +116 2.518474 32.00080 +117 2.510303 32.89938 +118 2.502102 33.82319 +119 2.493869 34.77294 +120 2.485605 35.74936 +121 2.477310 36.75319 +122 2.468982 37.78522 +123 2.460622 38.84622 +124 2.452229 39.93701 +125 2.443804 41.05844 +126 2.435346 42.21135 +127 2.426856 43.39664 +128 2.418333 44.61521 +129 2.409778 45.86800 +130 2.401190 47.15596 +131 2.392570 48.48010 +132 2.383917 49.84141 +133 2.375232 51.24095 +134 2.366515 52.67978 +135 2.357766 54.15902 +136 2.348984 55.67980 +137 2.340170 57.24328 +138 2.331324 58.85066 +139 2.322445 60.50318 +140 2.313535 62.20210 +141 2.304592 63.94872 +142 2.295618 65.74439 +143 2.286611 67.59048 +144 2.277572 69.48841 +145 2.268502 71.43963 +146 2.259400 73.44565 +147 2.250265 75.50799 +148 2.241099 77.62824 +149 2.231901 79.80803 +150 2.222667 82.04902 +151 2.213392 84.35294 +152 2.204070 86.72156 +153 2.194699 89.15669 +154 2.185280 91.66019 +155 2.175818 94.23400 +156 2.166316 96.88007 +157 2.156777 99.60045 +158 2.147206 102.3972 +159 2.137606 105.2725 +160 2.127978 108.2285 +161 2.118319 111.2676 +162 2.108627 114.3920 +163 2.098896 117.6041 +164 2.089123 120.9064 +165 2.079306 124.3014 +166 2.069440 127.7918 +167 2.059525 131.3801 +168 2.049564 135.0693 +169 2.039556 138.8620 +170 2.029505 142.7612 +171 2.019411 146.7699 +172 2.009276 150.8912 +173 1.999102 155.1282 +174 1.988891 159.4842 +175 1.978646 163.9624 +176 1.968369 168.5665 +177 1.958063 173.2998 +178 1.947731 178.1660 +179 1.937376 183.1689 +180 1.927001 188.3123 +181 1.916607 193.6000 +182 1.906200 199.0363 +183 1.895780 204.6252 +184 1.885352 210.3710 +185 1.874918 216.2782 +186 1.864481 222.3513 +187 1.854044 228.5949 +188 1.843610 235.0138 +189 1.833181 241.6129 +190 1.822762 248.3974 +191 1.812354 255.3723 +192 1.801963 262.5431 +193 1.791594 269.9153 +194 1.781255 277.4945 +195 1.770950 285.2865 +196 1.760684 293.2973 +197 1.750464 301.5330 +198 1.740294 310.0000 +199 1.717540 330.0000 diff --git a/lakeshore/X161269.340 b/lakeshore/X161269.340 new file mode 100755 index 0000000..43a9103 --- /dev/null +++ b/lakeshore/X161269.340 @@ -0,0 +1,157 @@ +Sensor Model: CX-1050-CU-HT-1.4L +Serial Number: X161269 +Data Format: 4 (Log Ohms/Kelvin) +SetPoint Limit: 325.0 (Kelvin) +Temperature coefficient: 1 (Negative) +Number of Breakpoints: 148 + +No. Units Temperature (K) + + 1 1.79050 331.436 + 2 1.79741 325.000 + 3 1.80404 319.000 + 4 1.81024 313.500 + 5 1.81657 308.000 + 6 1.82303 302.500 + 7 1.82963 297.000 + 8 1.83637 291.500 + 9 1.84327 286.000 + 10 1.85031 280.500 + 11 1.85751 275.000 + 12 1.86488 269.500 + 13 1.87241 264.000 + 14 1.88012 258.500 + 15 1.88800 253.000 + 16 1.89608 247.500 + 17 1.90434 242.000 + 18 1.91281 236.500 + 19 1.92069 231.500 + 20 1.92874 226.500 + 21 1.93698 221.500 + 22 1.94541 216.500 + 23 1.95403 211.500 + 24 1.96286 206.500 + 25 1.97190 201.500 + 26 1.98116 196.500 + 27 1.99066 191.500 + 28 2.00039 186.500 + 29 2.01037 181.500 + 30 2.02061 176.500 + 31 2.03112 171.500 + 32 2.04083 167.000 + 33 2.05078 162.500 + 34 2.06098 158.000 + 35 2.07144 153.500 + 36 2.08218 149.000 + 37 2.09321 144.500 + 38 2.10454 140.000 + 39 2.11620 135.500 + 40 2.12821 131.000 + 41 2.13919 127.000 + 42 2.15046 123.000 + 43 2.16206 119.000 + 44 2.17400 115.000 + 45 2.18630 111.000 + 46 2.19898 107.000 + 47 2.21209 103.000 + 48 2.22223 100.000 + 49 2.23087 97.500 + 50 2.23969 95.000 + 51 2.24873 92.500 + 52 2.25798 90.000 + 53 2.26745 87.500 + 54 2.27716 85.000 + 55 2.28713 82.500 + 56 2.29736 80.000 + 57 2.30788 77.500 + 58 2.31870 75.000 + 59 2.32983 72.500 + 60 2.33900 70.500 + 61 2.34838 68.500 + 62 2.35801 66.500 + 63 2.36789 64.500 + 64 2.37805 62.500 + 65 2.38850 60.500 + 66 2.39871 58.600 + 67 2.40977 56.600 + 68 2.42118 54.600 + 69 2.43296 52.600 + 70 2.44391 50.800 + 71 2.45519 49.000 + 72 2.46684 47.200 + 73 2.47888 45.400 + 74 2.49134 43.600 + 75 2.50425 41.800 + 76 2.51614 40.200 + 77 2.52844 38.600 + 78 2.54119 37.000 + 79 2.55442 35.400 + 80 2.56731 33.900 + 81 2.58070 32.400 + 82 2.59465 30.900 + 83 2.60822 29.500 + 84 2.62236 28.100 + 85 2.63716 26.700 + 86 2.65155 25.400 + 87 2.66545 24.200 + 88 2.68000 23.000 + 89 2.69530 21.800 + 90 2.71008 20.700 + 91 2.72207 19.850 + 92 2.73158 19.200 + 93 2.74142 18.550 + 94 2.75164 17.900 + 95 2.76144 17.300 + 96 2.77160 16.700 + 97 2.78219 16.100 + 98 2.79230 15.550 + 99 2.80283 15.000 +100 2.81382 14.450 +101 2.82530 13.900 +102 2.83621 13.400 +103 2.84762 12.900 +104 2.85962 12.400 +105 2.87224 11.900 +106 2.88419 11.450 +107 2.89675 11.000 +108 2.90999 10.550 +109 2.92400 10.100 +110 2.93718 9.700 +111 2.95109 9.300 +112 2.96584 8.900 +113 2.98153 8.500 +114 2.99829 8.100 +115 3.01396 7.750 +116 3.03062 7.400 +117 3.04847 7.050 +118 3.06763 6.700 +119 3.08831 6.350 +120 3.10745 6.050 +121 3.12726 5.760 +122 3.14940 5.460 +123 3.17342 5.160 +124 3.19785 4.880 +125 3.22442 4.600 +126 3.25143 4.340 +127 3.28097 4.080 +128 3.30587 3.880 +129 3.32854 3.710 +130 3.35287 3.540 +131 3.37752 3.380 +132 3.40404 3.220 +133 3.43091 3.070 +134 3.45991 2.920 +135 3.49140 2.770 +136 3.52340 2.630 +137 3.55820 2.490 +138 3.59630 2.350 +139 3.63513 2.220 +140 3.67767 2.090 +141 3.72101 1.970 +142 3.76875 1.850 +143 3.81741 1.740 +144 3.86648 1.640 +145 3.92135 1.540 +146 3.98891 1.430 +147 4.00939 1.400 +148 4.16290 1.199 diff --git a/merge_calib_files.ipynb b/merge_calib_files.ipynb new file mode 100644 index 0000000..bc6d844 --- /dev/null +++ b/merge_calib_files.ipynb @@ -0,0 +1,279 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from zcalib import read_curve\n", + "calib_data_file='calib_data/calib%s_p%d_c%d.dat'" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "def merge(dates, chans, phases, newdate, dif=1e-2):\n", + " # merge calib runs from dates. the newer points overwriting the older ones (when within 1 %)\n", + " # newdate should be a date not yet used for measuring (recommended: last day +1)\n", + " dif = 2 * dif\n", + " chans = list(chans)\n", + " phases = list(phases)\n", + " for chan in chans:\n", + " for phase in phases:\n", + " merged = None\n", + " for date in dates:\n", + " try:\n", + " xy = read_curve(calib_data_file % (date, phase, chan), 'zdat')\n", + " except FileNotFoundError:\n", + " continue\n", + " a=np.array(xy)\n", + " xy = a[:,a[0,:].argsort()]\n", + " if merged is None:\n", + " merged = xy\n", + " else:\n", + " idx = np.searchsorted(merged[0], xy[0])\n", + " l = len(merged[0])\n", + " mask = [True] * l\n", + " for i, x, y in zip(idx, xy[0], xy[1]):\n", + " match = None\n", + " i0 = max(i -1, 0)\n", + " i1 = min(i, l - 1)\n", + " x0 = merged[0][i0]\n", + " x1 = merged[0][i1]\n", + " if abs(x - x0) > abs(x - x1):\n", + " x0 = x1\n", + " i0 = i1\n", + " if abs(x0 - x) < abs(x0 + x) * dif:\n", + " print('match', i0, x0, x)\n", + " mask[i0] = False\n", + " merged = np.concatenate((merged[:,mask], xy), axis=1)\n", + " merged = merged[:, merged[0,:].argsort()]\n", + " with open(calib_data_file % (newdate, phase, chan), 'w') as f:\n", + " f.write('#zdat (zcalib by M.Zolliker 2018) merged from %r\\n' % dates)\n", + " f.write('#idx\\tR ref\\tR meas\\tdummy sigma\\n')\n", + " for i, (x, y) in enumerate(zip(merged[0], merged[1])):\n", + " f.write('%i\\t%.7g\\t%.7g\\t%.2g\\n' % (i, x, y, y*1e-4))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "zdat READ calib_data/calib2021-04-26_p0_c1.dat\n", + "zdat READ calib_data/calib2021-04-29_p0_c1.dat\n", + "match 0 60.6828 60.5225\n", + "match 0 60.6828 62.22\n", + "match 1 65.3199 65.2872\n", + "match 2 71.5522 71.7035\n", + "match 3 77.9688 79.2125\n", + "match 54 11969.96 11938.23\n", + "match 55 14495.35 14613.01\n", + "match 56 17491.93 17880.41\n", + "match 57 21464.01 21959.49\n", + "match 58 26788.25 26765.2\n", + "zdat READ calib_data/calib2021-04-26_p1_c1.dat\n", + "zdat READ calib_data/calib2021-04-29_p1_c1.dat\n", + "match 0 60.6401 60.4238\n", + "match 0 60.6401 62.0921\n", + "match 1 65.2441 65.1589\n", + "match 2 71.4937 71.5521\n", + "match 3 77.9248 79.0168\n", + "match 54 11970.07 11938.39\n", + "match 55 14496.17 14614.4\n", + "match 56 17491.71 17885.05\n", + "match 57 21463.69 21987.46\n", + "match 58 26789.83 26797.09\n", + "zdat READ calib_data/calib2021-04-26_p2_c1.dat\n", + "zdat READ calib_data/calib2021-04-29_p2_c1.dat\n", + "match 0 60.61 60.3502\n", + "match 0 60.61 61.9986\n", + "match 1 65.2153 65.0644\n", + "match 2 71.445 71.4354\n", + "match 3 77.9122 78.8533\n", + "match 54 11970.73 11938.91\n", + "match 55 14496.28 14615.56\n", + "match 56 17491.46 17885.1\n", + "match 57 21465.49 22002.05\n", + "match 58 26792.74 26845.82\n", + "zdat READ calib_data/calib2021-04-26_p0_c2.dat\n", + "zdat READ calib_data/calib2021-04-29_p0_c2.dat\n", + "match 0 60.6738 60.5019\n", + "match 0 60.6738 62.1941\n", + "match 1 65.3022 65.2622\n", + "match 2 71.5424 71.6725\n", + "match 3 77.9592 79.1747\n", + "match 54 11969.67 11937.73\n", + "match 55 14494.71 14613.29\n", + "match 56 17491.23 17878.45\n", + "match 57 21461.43 21967.88\n", + "zdat READ calib_data/calib2021-04-26_p1_c2.dat\n", + "zdat READ calib_data/calib2021-04-29_p1_c2.dat\n", + "match 0 60.6329 60.4077\n", + "match 0 60.6329 62.0709\n", + "match 1 65.236 65.138\n", + "match 2 71.4827 71.5259\n", + "match 3 77.9188 78.9836\n", + "match 54 11971.0 11937.87\n", + "match 55 14494.66 14613.6\n", + "match 56 17491.53 17888.38\n", + "match 57 21462.17 21995.97\n", + "zdat READ calib_data/calib2021-04-26_p2_c2.dat\n", + "zdat READ calib_data/calib2021-04-29_p2_c2.dat\n", + "match 0 60.6047 60.3381\n", + "match 0 60.6047 61.9834\n", + "match 1 65.2122 65.0488\n", + "match 2 71.4364 71.4159\n", + "match 3 77.9137 78.8249\n", + "match 54 11970.36 11938.86\n", + "match 55 14495.7 14615.54\n", + "match 56 17490.91 17883.25\n", + "match 57 21465.81 22002.38\n", + "zdat READ calib_data/calib2021-04-26_p0_c4.dat\n", + "zdat READ calib_data/calib2021-04-29_p0_c4.dat\n", + "match 0 60.6654 60.4822\n", + "match 0 60.6654 62.1667\n", + "match 1 65.2838 65.2365\n", + "match 2 71.5296 71.642\n", + "match 3 77.948 79.1353\n", + "match 54 11969.16 11937.58\n", + "match 55 14494.9 14612.55\n", + "match 56 17491.32 17871.27\n", + "zdat READ calib_data/calib2021-04-26_p1_c4.dat\n", + "zdat READ calib_data/calib2021-04-29_p1_c4.dat\n", + "match 0 60.6263 60.393\n", + "match 0 60.6263 62.0524\n", + "match 1 65.2303 65.119\n", + "match 2 71.4728 71.5025\n", + "match 3 77.9147 78.9508\n", + "match 54 11971.08 11937.77\n", + "match 55 14492.33 14612.57\n", + "match 56 17490.81 17882.02\n", + "zdat READ calib_data/calib2021-04-26_p2_c4.dat\n", + "zdat READ calib_data/calib2021-04-29_p2_c4.dat\n", + "match 0 60.5998 60.3267\n", + "match 0 60.5998 61.9687\n", + "match 1 65.2085 65.0359\n", + "match 2 71.4287 71.3971\n", + "match 3 77.9172 78.7986\n", + "match 54 11969.85 11939.03\n", + "match 55 14495.65 14617.38\n", + "match 56 17493.0 17883.93\n", + "zdat READ calib_data/calib2021-04-26_p0_c5.dat\n", + "zdat READ calib_data/calib2021-04-29_p0_c5.dat\n", + "match 0 60.6577 60.4638\n", + "match 0 60.6577 62.1421\n", + "match 1 65.2696 65.2109\n", + "match 2 71.5173 71.6141\n", + "match 3 77.9401 79.097\n", + "match 54 11967.54 11937.55\n", + "match 55 14495.17 14612.01\n", + "zdat READ calib_data/calib2021-04-26_p1_c5.dat\n", + "zdat READ calib_data/calib2021-04-29_p1_c5.dat\n", + "match 0 60.6216 60.3783\n", + "match 0 60.6216 62.0355\n", + "match 1 65.2252 65.1019\n", + "match 2 71.4646 71.4823\n", + "match 3 77.9127 78.9198\n", + "match 54 11968.57 11937.86\n", + "match 55 14489.46 14613.21\n", + "zdat READ calib_data/calib2021-04-26_p2_c5.dat\n", + "zdat READ calib_data/calib2021-04-29_p2_c5.dat\n", + "match 0 60.5956 60.3165\n", + "match 0 60.5956 61.9555\n", + "match 1 65.2047 65.0238\n", + "match 2 71.4227 71.3795\n", + "match 3 77.9208 78.7734\n", + "match 54 11968.67 11938.29\n", + "match 55 14495.33 14617.0\n", + "zdat READ calib_data/calib2021-04-26_p0_c6.dat\n", + "zdat READ calib_data/calib2021-04-29_p0_c6.dat\n", + "match 0 60.6543 60.4507\n", + "match 0 60.6543 62.1239\n", + "match 1 65.2614 65.1914\n", + "match 2 71.5115 71.5911\n", + "match 3 77.9375 79.0654\n", + "match 54 11967.5 11938.06\n", + "zdat READ calib_data/calib2021-04-26_p1_c6.dat\n", + "zdat READ calib_data/calib2021-04-29_p1_c6.dat\n", + "match 0 60.6207 60.3694\n", + "match 0 60.6207 62.0242\n", + "match 1 65.224 65.09\n", + "match 2 71.4602 71.4666\n", + "match 3 77.9164 78.8953\n", + "match 54 11967.81 11937.43\n", + "zdat READ calib_data/calib2021-04-26_p2_c6.dat\n", + "zdat READ calib_data/calib2021-04-29_p2_c6.dat\n", + "match 0 60.5959 60.311\n", + "match 0 60.5959 61.9487\n", + "match 1 65.2048 65.0151\n", + "match 2 71.4216 71.368\n", + "match 3 77.9299 78.7532\n", + "match 54 11967.56 11937.76\n" + ] + } + ], + "source": [ + "merge(['2021-04-26', '2021-04-29'], [1,2,4,5,6], [0,1,2], '2021-04-30')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.6", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/plot_calib.ipynb b/plot_calib.ipynb new file mode 100644 index 0000000..aad7b19 --- /dev/null +++ b/plot_calib.ipynb @@ -0,0 +1,524 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scripts for Calibration of Cernox Sensors\n", + "---------------------------------------\n", + "\n", + "Make a copy of this notebook for an other run.\n", + "\n", + "See also http://samenv.psi.ch:8080/sample_environment/83" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import math\n", + "from scipy.interpolate import splrep, splev\n", + "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c1.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c2.dat')\n", + "{'selected': 1, 'averaged': 61}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c4.dat')\n", + "{'selected': 0, 'averaged': 62}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c5.dat')\n", + "{'selected': 2, 'averaged': 60}\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c6.dat')\n", + "{'selected': 0, 'averaged': 62}\n" + ] + } + ], + "source": [ + "run = CalibRun([\n", + " Sensor(3, 'X75610'), # the reference sensor must be the first\n", + " Sensor(1, 'X161269', 'CX-1050-CU-HT-1.4M'),\n", + " Sensor(2, 'X163059', 'CX-1050-CU-HT'),\n", + " Sensor(4, 'X163060', 'CX-1050-CU-HT'),\n", + " Sensor(5, 'X163061', 'CX-1050-CU-HT'),\n", + " Sensor(6, 'X163062', 'CX-1050-CU-HT'),\n", + " ],\n", + " #t_points = (1.0, 1.2) + logrange(1.4, 310, n=194) + (330,), # the points to be used in the cal file\n", + " t_points = (1.38, 1.42, 1.51) + logrange(1.55, 288, n=57) + (302,310), # the points to be used in the cal file\n", + " caldate = '2021-04-30', # the first measuring day!\n", + " logT = False,\n", + " logR = True,\n", + " calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n", + " outputpath='%s/%s.340')\n", + "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n", + "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ /home/l_samenv/sea/tcl/calcurves/X161269.340')\n", + "('z340', 'READ 2021-05-04/X161269.340')\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmcAAAFvCAYAAAAPCWzhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAHW9JREFUeJzt3X+Q1WXd//HnW1bYptQtf5RflmTrRgRERFZMb3E2FcIft5o6Cl9qGmR0tKzRJorG8jvZNNaok5EUwq1iM92a2bekxNDKTWx0hrUsURRJuWPJ+0ugWGr+wN7fP9i2ZWWFXc7Zc+3yfMyc2f1c5/pc13vP7mf2NdfnnM8nMhNJkiSVYa9aFyBJkqR/MZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkHqal3AP0XEO4HvAK8DrZn5/RqXJEmS1O+qunIWETdHxMaIWNWtfXpEPBURayNiXkfz2cCdmXkhcEY165IkSSpVtU9rLgGmd22IiCHAAuAUYCwwMyLGAo3A+o5ub1a5LkmSpCJVNZxl5gPA892aJwNrM/OZzHwduB04E2hnW0Crel2SJEmlqsV7zobzrxUy2BbKjgHmAzdExGnAT3vaOSIuAuYCDUOHDj1g5MiRVSxVkiSpMtasWbMpMw/cWb9iPhCQmS8Ds3eh3yJgEUBzc3O2tbVVuzRJkqTdFhH/vSv9anH6cAMwost2Y0ebJEnSHq8W4WwlMCoimiJiKDADWFqDOiRJkopT7Utp3AY8BIyOiPaImJOZW4FLgeXAauCOzHy8mnVIkiQNFFV9z1lmzuyhfRmwrJpzS5I02L3xxhu0t7fz6quv1roUdVFfX09jYyN77713n/Yv5gMBkiSpd9rb29lnn30YOXIkEVHrcgRkJps3b6a9vZ2mpqY+jeH1xCRJGqBeffVV9t9/f4NZQSKC/ffff7dWMw1nkiQNYAaz8uzu78RwJkmS+mT9+vU0NTXx/PPbbgb0wgsv0NTUxLp165g+fToNDQ2cfvrp2+2TmVxxxRUceuihjBkzhvnz5wPw5JNPcuyxxzJs2DCuvfba7eb48Ic/zNixYxk3bhzf+ta3thvv29/+Nocddhjjxo3j85//PACvv/46s2fPZvz48UyYMIHW1tYd1v/lL3+ZI444giOPPJJp06bx5z//ebvnV65cSV1dHXfeeWdn26233sqoUaMYNWoUt956a99euJ3wPWeSJKlPRowYwSWXXMK8efNYtGgR8+bN46KLLmLkyJHMnTuXV155hRtvvHG7fZYsWcL69et58skn2Wuvvdi4cSMA73nPe5g/fz4/+clPtutfV1fHddddx1FHHcXf/vY3Jk2axNSpUxk7diz3338/d911F7///e8ZNmxY51iLFy8G4LHHHmPjxo2ccsoprFy5kr322n5Nau7cuXz1q18FYP78+Vx11VUsXLgQgDfffJMvfOELTJs2rbP/888/z1e+8hXa2tqICCZNmsQZZ5zBu9/97gq+qq6cSZKk3XD55Zfz8MMPc/311/Pggw/yuc99DoCTTjqJffbZ5y39v/vd73LllVd2BqWDDjqo8+vRRx/9lk84HnzwwRx11FEA7LPPPowZM4YNGzZ0jjVv3jyGDRu23VhPPPEEJ554YmdbQ0MDO7qj0L777tv5/csvv7zd6chvf/vbnHPOOZ1jAixfvpypU6fynve8h3e/+91MnTqVn//85715uXaJK2eSJA0CX/np4zzx579WdMyx/2tf/s9/jHvbPnvvvTfXXHMN06dP5957793p5SP++Mc/8oMf/IAf//jHHHjggcyfP59Ro0btUj3r1q3jd7/7HccccwwAa9asYcWKFVxxxRXU19dz7bXXcvTRRzNhwgSWLl3KzJkzWb9+PY888gjr169n8uTJbxnziiuu4Hvf+x777bcf999/PwAbNmzgxz/+Mffffz8rV67s7LthwwZGjPjXTY4aGxs7g2IluXImSZJ2yz333MPBBx/MqlWrdtr3tddeo76+nra2Ni688EIuuOCCXZrjpZde4pxzzuH666/vXPHaunUrzz//PA8//DDXXHMN5513HpnJBRdcQGNjI83NzVx22WUcd9xxDBkyZIfjfu1rX2P9+vXMmjWLG264AYDLLruMb3zjG285DdpfXDmTJGkQ2NkKV7U8+uij3HfffTz88MMcf/zxzJgxg4MPPrjH/o2NjZx99tkAfPSjH2X27Nk7neONN97gnHPOYdasWZ37dh0rIpg8eTJ77bUXmzZt4sADD+Sb3/xmZ7/jjjuOQw899G3nmDVrFqeeemrne8pmzJgBwKZNm1i2bBl1dXUMHz58uw8XtLe309LSstP6e8uVM0mS1CeZySWXXML111/P+9//fubOndv5nrOenHXWWZ2nD3/961/vNDRlJnPmzGHMmDF89rOf7XGsNWvW8Prrr3PAAQfwyiuv8PLLLwNw3333UVdXx9ixY98y9tNPP935/V133cVhhx0GwLPPPsu6detYt24d5557Lt/5znc466yz+MhHPsK9997LCy+8wAsvvMC9997LRz7ykZ28Sn2QmQP2MWnSpJQkaU/1xBNP1HT+G2+8Mc8777zO7a1bt+bEiROztbU1jz/++DzggAOyvr4+hw8fnj//+c8zM/OFF17IU089NQ8//PD80Ic+lI8++mhmZj733HM5fPjw3GeffXK//fbL4cOH54svvpgrVqxIIMePH58TJkzICRMm5N13352Zma+99lrOmjUrx40blxMnTsxf/vKXmZn57LPP5qGHHpqHHXZYnnTSSblu3brOGufMmZMrV67MzMyzzz47x40bl+PHj8/TTz8929vb3/IzfuITn8gf/vCHnds33XRTfvCDH8wPfvCDefPNN/f42uzodwO05S7km9jWd2Bqbm7OHX36QpKkPcHq1asZM2ZMrcvQDuzodxMRj2Rm88729bSmJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSpKo49dRT2bJlyy73X7duHYcffngVKxoYvH2TJEmqimXLltW6hAHJlTNJktQn11xzDfPnzwfg8ssv58QTTwTgV7/6FbNmzWLkyJFs2rSJdevWMWbMGC688ELGjRvHtGnT+Pvf/w7AI488woQJE5gwYQILFizoHPvVV19l9uzZjB8/nokTJ3bepum0007jD3/4AwATJ07kqquuAuDKK69k8eLF/fazV5MrZ5IkDQb3zIP/eayyY75vPJzy9R6fnjJlCtdddx2f+cxnaGtr47XXXuONN95gxYoVnHDCCfzmN7/p7Pv0009z2223sXjxYs477zx+9KMf8bGPfYzZs2dzww03cMIJJzB37tzO/gsWLCAieOyxx3jyySeZNm0aa9asYcqUKaxYsYJDDjmEurq6zjlWrFjBwoULK/vz14grZ5IkqU8mTZrEI488wl//+leGDRvGscceS1tbGytWrGDKlCnb9W1qauLII4/s3G/dunVs2bKFLVu2cMIJJwDw8Y9/vLP/gw8+yMc+9jEADjvsMA455JDOcPbAAw/wm9/8htNOO42XXnqJV155hWeffZbRo0f3009eXa6cSZI0GLzNCle17L333jQ1NbFkyRKOO+44jjjiCO6//37Wrl37lvtKDhs2rPP7IUOGdJ7W7K2jjz6atrY2PvCBDzB16lQ2bdrE4sWLmTRp0m79LCVx5UySJPXZlClTuPbaaznhhBOYMmUKCxcuZOLEiUTETvdtaGigoaGBBx98EIDvf//72437z+01a9bwpz/9idGjRzN06FBGjBjBD3/4Q4499tjt5h8sDGeSJKnPpkyZwnPPPcexxx7Le9/7Xurr699ySvPt3HLLLXzqU5/iyCOPJDM72z/5yU/yj3/8g/Hjx3P++eezZMmSztW3KVOmcNBBB/GOd7yDKVOm0N7e3qs5SxddX4iBprm5Odva2mpdhiRJNbF69eq3nD5UGXb0u4mIRzKzeWf7unImSZJUEMOZJElSQQxnkiRJBSkqnEXEByLipoi4s9a1SJI0EAzk944PVrv7O6lYOIuImyNiY0Ss6tY+PSKeioi1ETHv7cbIzGcyc06lapIkaTCrr69n8+bNBrSCZCabN2+mvr6+z2NU8iK0S4AbgO/9syEihgALgKlAO7AyIpYCQ4Cru+1/QWZurGA9kiQNao2NjbS3t/OXv/yl1qWoi/r6ehobG/u8f8XCWWY+EBEjuzVPBtZm5jMAEXE7cGZmXg2cXqm5JUnaE/3zCv0aXKp9+6bhwPou2+3AMT11joj9ga8BEyPiix0hrnufi4C5QENDQwOtra2VrViSJKmGirq3ZmZuBi7eSZ9FwCLYdhHalpaWfqhMkiSpf1T705obgBFdths72iRJkrQD1Q5nK4FREdEUEUOBGcDSKs8pSZI0YFXyUhq3AQ8BoyOiPSLmZOZW4FJgObAauCMzH6/UnJIkSYNNJT+tObOH9mXAskrNI0mSNJgVdYcASZKkPZ3hTJIkqSCGM0mSpIIYziRJkgpiOJMkSSqI4UySJKkghjNJkqSCGM4kSZIKYjiTJEkqiOFMkiSpIIYzSZKkghjOJEmSCmI4kyRJKojhTJIkqSCGM0mSpIIYziRJkgpiOJMkSSqI4UySJKkghjNJkqSCGM4kSZIKYjiTJEkqiOFMkiSpIIYzSZKkghjOJEmSCmI4kyRJKojhTJIkqSCGM0mSpIIYziRJkgpiOJMkSSpIXa0L6CoizgJOA/YFbsrMe2tckiRJUr+q2MpZRNwcERsjYlW39ukR8VRErI2IeW83Rmb+JDMvBC4Gzq9UbZIkSQNFJVfOlgA3AN/7Z0NEDAEWAFOBdmBlRCwFhgBXd9v/gszc2PH9lzr2kyRJ2qNULJxl5gMRMbJb82RgbWY+AxARtwNnZubVwOndx4iIAL4O3JOZv61UbZIkSQNFtd9zNhxY32W7HTjmbfp/GjgZ2C8i/i0zF3bvEBEXAXOBhoaGBlpbWytYriRJUm0V9YGAzJwPzN9Jn0XAIoDm5uZsaWnph8okSZL6R7UvpbEBGNFlu7GjTZIkSTtQ7XC2EhgVEU0RMRSYASyt8pySJEkDViUvpXEb8BAwOiLaI2JOZm4FLgWWA6uBOzLz8UrNKUmSNNhU8tOaM3toXwYsq9Q8kiRJg5m3b5IkSSqI4UySJKkghjNJkqSCGM4kSZIKYjiTJEkqiOFMkiSpIIYzSZKkghjOJEmSCmI4kyRJKojhTJIkqSCGM0mSpIIYziRJkgpiOJMkSSqI4UySJKkghjNJkqSCGM4kSZIKYjiTJEkqiOFMkiSpIIYzSZKkghjOJEmSCmI4kyRJKojhTJIkqSCGM0mSpIIYziRJkgpiOJMkSSqI4UySJKkghjNJkqSCGM4kSZIKYjiTJEkqiOFMkiSpIEWFs4gYExELI+LOiLik1vVIkiT1t4qFs4i4OSI2RsSqbu3TI+KpiFgbEfPebozMXJ2ZFwPnAf9eqdokSZIGikqunC0BpndtiIghwALgFGAsMDMixkbE+Ij4WbfHQR37nAHcDSyrYG2SJEkDQl2lBsrMByJiZLfmycDazHwGICJuB87MzKuB03sYZymwNCLuBv6rUvVVXNst8Nidta5CkiTV0vhzoXl2RYesWDjrwXBgfZftduCYnjpHRAtwNjCMHlbOIuIiYC7Q0NDQQGtra6Vq7ZUjf/efvOulZ3npXU01mV+SJNXWu156lpe2bOHRlyqbBaodznolM1uB1p30WQQsAmhubs6Wlpaq17VDzzZAw0QaZt9dm/klSVJt3XIaDUCls0i1P625ARjRZbuxo02SJEk7UO1wthIYFRFNETEUmAEsrfKckiRJA1YlL6VxG/AQMDoi2iNiTmZuBS4FlgOrgTsy8/FKzSlJkjTYVPLTmjN7aF+Gl8WQJEnaJUXdIUCSJGlPZziTJEkqiOFMkiSpIIYzSZKkghjOJEmSCmI4kyRJKojhTJIkqSCGM0mSpIIYziRJkgpiOJMkSSqI4UySJKkghjNJkqSCGM4kSZIKYjiTJEkqiOFMkiSpIIYzSZKkghjOJEmSCmI4kyRJKojhTJIkqSCGM0mSpIIYziRJkgpiOJMkSSqI4UySJKkghjNJkqSCGM4kSZIKYjiTJEkqiOFMkiSpIIYzSZKkghjOJEmSCmI4kyRJKojhTJIkqSCGM0mSpIIYziRJkgpiOJMkSSqI4UySJKkgRYWziJgeEU9FxNqImFfreiRJkvpbMeEsIoYAC4BTgLHAzIgYW9uqJEmS+lddrQvoYjKwNjOfAYiI24EzgSdqWtUOfOWnj3Pucy8CcNWND9W4GkmSVAtXbn6Rdw6tY2SFxy0pnA0H1nfZbgeO6d4pIi4C5gINDQ0NtLa29k91XbS3v8bWrVsB2LJlS7/PL0mSam/r1q28lm9WPIuUFM52SWYuAhYBNDc3Z0tLS7/X0NIC3DIfgOWzT+n3+SVJUgFuuQGA0RXOIsW85wzYAIzost3Y0SZJkrTHKCmcrQRGRURTRAwFZgBLa1yTJElSvyrmtGZmbo2IS4HlwBDg5sx8vMZlSZIk9atiwhlAZi4DltW6DkmSpFop6bSmJEnSHs9wJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBXEcCZJklQQw5kkSVJBDGeSJEkFMZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBXEcCZJklQQw5kkSVJBDGeSJEkFMZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBXEcCZJklQQw5kkSVJBDGeSJEkFMZxJkiQVxHAmSZJUkKLCWUSMiYiFEXFnRFxS63okSZL6W0XCWUTcHBEbI2JVt/bpEfFURKyNiHk7GyczV2fmxcB5wL9XojZJkqSBpFIrZ0uA6V0bImIIsAA4BRgLzIyIsR3PjY+In3V7HNTx3BnA3cCyCtUmSZI0YNRVYpDMfCAiRnZrngyszcxnACLiduBM4InMfAw4vYexlgJLI+Ju4L8qUV9V/PeD277eclpt65AkSbXxP4/B+8ZXfNiKhLMeDAfWd9luB455ux0iogU4GxhGDytnEXERMBdoaGhooLW1tRK19lpLx9ctW7bUZH5JklRj9SP4f8OO4LkKZ5FdCmcR8QvgfTt46orMvKtSxWRmK9C6kz6LgEUAzc3N2dLSUqnpe6flRQAaajO7JEkqQAMwusJj7lI4y8yT+zD2BmBEl+3GjjZJkiT1oJqX0lgJjIqIpogYCswAllZxPkmSpAGvUpfSuA14CBgdEe0RMScztwKXAsuB1cAdmfl4JeaTJEkarCr1ac2ZPbQvw0tiSJIk7bKi7hAgSZK0pzOcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBXEcCZJklQQw5kkSVJBDGeSJEkFMZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBXEcCZJklQQw5kkSVJBDGeSJEkFMZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBWkrtYFdBURZwGnAfsCN2XmvTUuSZIkqV9VZOUsIm6OiI0Rsapb+/SIeCoi1kbEvJ2Nk5k/ycwLgYuB8ytRmyRJ0kBSqdOaS4DpXRsiYgiwADgFGAvMjIixHc+Nj4ifdXsc1GX3L3XsK0mStEepyGnNzHwgIkZ2a54MrM3MZwAi4nbgTOCJzHwMOL37OBERwNeBezLzt5WoTZIkaSCp5nvOhgPru2y3A8fsZJ9PAycD+0XEv2Xmwu4dIuIiYC7Q0NDQQGtra4XKlSRJqr1dCmcR8QvgfTt46orMvKtSxWTmfGD+TvosAhYBNDc3Z0tLS6WmlyRJqrldCmeZeXIfxt4AjOiy3djRJkmSpB5U8zpnK4FREdEUEUOBGcDSKs4nSZI04FXqUhq3AQ8BoyOiPSLmZOZW4FJgObAauCMzH6/EfJIkSYNVpT6tObOH9mXAskrMIUmStCfw9k2SJEkFMZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBXEcCZJklQQw5kkSVJBDGeSJEkFMZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBXEcCZJklQQw5kkSVJBDGeSJEkFMZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBSkqnEXEByLipoi4s9a1SJIk1UJFwllE3BwRGyNiVbf26RHxVESsjYh5OxsnM5/JzDmVqEmSJGkgqtTK2RJgeteGiBgCLABOAcYCMyNibMdz4yPiZ90eB1WoFkmSpAGrrhKDZOYDETGyW/NkYG1mPgMQEbcDZwJPZOZjwOmVmFuSJGkwqUg468FwYH2X7XbgmLfbISL2B74GTIyIL2bm1TvocxEwF2hoaGigtbW1chVLkiTV2C6Fs4j4BfC+HTx1RWbeValiMnMzcPFO+iwCFgE0NzdnS0tLpaaXJEmquV0KZ5l5ch/G3gCM6LLd2NEmSZKkHlTzUhorgVER0RQRQ4EZwNIqzidJkjTgVepSGrcBDwGjI6I9IuZk5lbgUmA5sBq4IzMfr8R8kiRJg1WlPq05s4f2ZcCySswhSZK0JyjqDgGSJEl7OsOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBXEcCZJklQQw5kkSVJBDGeSJEkFMZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSJBXEcCZJklQQw5kkSVJBDGeSJEkFMZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkHqal1AVxHxTuA7wOtAa2Z+v8YlSZIk9auqrpxFxM0RsTEiVnVrnx4RT0XE2oiY1+Wps4E7M/NC4Ixq1iZJklSiap/WXAJM79oQEUOABcApwFhgZkSM7Xi6EVjf8f2bVa5NkiSpOFUNZ5n5APB8t+bJwNrMfCYzXwduB87seK6dbQGt6rVJkiSVqBbvORvOv1bHYFsgO6bj+/8L3BARpwE/3dHOEXERMBdoAN6IiD9UsdaBYj/gxVoX0YP+rK1ac1Vi3N0Zo7f79qZ/b/oeAGzqRR2DVanHW3/XVY35Btqx1tt9drWvx9o2pR5r0PfaDtmlXpnZ5wfwC2DVDh5ndukzEljVZftc4D+7bH8cuKGP87ftTv2D5QEsqnUNJdRWrbkqMe7ujNHbfXvTv5d9Pd4q9PcwGOqqxnwD7Vjr7T672tdjrXJ/DwO1tt1aOcvMk/uw2wZgRJftxo429d0OVxkL0Z+1VWuuSoy7O2P0dt/e9C/5b6dUpb5m/V1XNeYbaMdab/cp9W+nVCW/XlWtLToSYPUmiBgJ/CwzD+/YrgPWACexLZStBP53Zj7eh7HbMrO5ctVK6onHm9Q/PNZU7Utp3AY8BIyOiPaImJOZW4FLgeXAauCOvgSzDosqVKqknfN4k/qHx9oeruorZ5IkSdp1Xq5CkiSpIIYzSZKkghjOJEmSCjKowllEvDMibo2IxRExq9b1SINVRHwgIm6KiDtrXYs02EXEWR3/134QEdNqXY+qr/hw1subp3vjdKmPenOs5bbbr82pTaXSwNfL4+0nHf/XLgbOr0W96l/FhzN6d/N0b5wu9d0Sdv1Yk7R7ltD74+1LHc9rkCs+nGXvbp7ujdOlPurlsSZpN/TmeIttvgHck5m/7e9a1f8GaoDZ0c3Th7PtxunnRMR3Kfu2D9JAscNjLSL2j4iFwMSI+GJtSpMGnZ7+t30aOBk4NyIurkVh6l+7dW/N0mTmy8DsWtchDXaZuZlt73+RVGWZOR+YX+s61H8G6sqZN0+X+ofHmtR/PN4EDNxwthIYFRFNETEUmAEsrXFN0mDksSb1H483AQMgnPXDzdMl4bEm9SePN70db3wuSZJUkOJXziRJkvYkhjNJkqSCGM4kSZIKYjiTJEkqiOFMkiSpIIYzSZKkghjOJEmSCmI4kyRJKojhTJIkqSD/H6nFs4lvQelBAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare known sensors\n", + "if True: # set to True when known sensors are measured\n", + " plt.figure(figsize=(10, 6))\n", + " tmin,tmax,dmax=1.4,310,0.001\n", + " testlist = [('X161269', 'z340')]\n", + " for sensno, kind in testlist:\n", + " r0, t0 = read_curve('/home/l_samenv/sea/tcl/calcurves/%s.340' % sensno, 'z340')\n", + " r1, t1 = read_curve('2021-05-04/%s.340' % sensno, kind)\n", + " diff = compare_calib(r1, t1, r0, t0)\n", + " plt.plot(t0, diff, '-')\n", + " plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n", + " plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n", + " plt.xscale('log')\n", + " plt.yscale('symlog',linthreshy=dmax)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([1.0,350,-1,1])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X161269.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X163059.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X163060.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X163061.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X163062.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# compare calibration files from points 0,1,2\n", + "# with the optimized (average or selection of best)\n", + "\n", + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " dif[j] = compare_calib(r0, t0, rc, tc)\n", + " plt.plot(t0, dif[j], '-')\n", + " plt.xscale('log')\n", + " plt.yscale('symlog', linthreshy=0.001)\n", + " plt.grid(True, axis='y')\n", + " plt.axis([min(t0),max(t0),-1,1])\n", + " # plt.axis([240,330,-1,1])\n", + "\n", + " # plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X161269.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c1.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c1.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X163059.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c2.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c2.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X163060.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c4.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c4.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X163061.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c5.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c5.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('z340', 'READ 2021-04-30/X163062.340')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c6.dat')\n", + "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c6.dat')\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for sensor in run.sensors:\n", + " r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n", + " plt.figure()\n", + " dif = [0,0,0]\n", + " for j in range(3):\n", + " rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n", + " rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n", + " plt.plot(t0, r0, '-')\n", + " plt.plot(tc, rc, '.')\n", + " plt.xscale('log')\n", + " plt.yscale('log')\n", + " plt.grid(True, axis='y')\n", + " # plt.axis([min(t0),max(t0),-1,1])\n", + " # plt.axis([240,330,-1,1])\n", + "\n", + " # plt.legend(['dif1','dif2','dif3','est'])\n", + " plt.show()\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2.7", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/zcalib.py b/zcalib.py new file mode 100644 index 0000000..0ea0437 --- /dev/null +++ b/zcalib.py @@ -0,0 +1,357 @@ +''' +utilities for creating cernox calibration curves +''' + +import numpy as np +import matplotlib.pyplot as plt +from scipy.interpolate import splrep, splev +import math +from glob import glob +import os +import time + +nplog = np.vectorize(math.log10) +npexp = np.vectorize(lambda x:10 ** x) + +class StdFilter(object): + '''filter used for reading columns''' + + def __init__(self, colnums = None, logformat = None): + if colnums is None: + colnums = (0,1) + self.colnums = colnums + self.logformat = logformat + self.output = [[] for i in colnums] + + def parse(self, line): + '''get numbers from a line and put them to self.output''' + if line.strip().startswith('#'): + return + values = [] + row = line.split() + try: + for c in self.colnums: + values.append(float(row[c])) + except (IndexError, ValueError): + #print('SKIP: %s' % line.strip()) + return + self.posttreat(values) + + def posttreat(self, values): + '''post treatment, mainly converting from log''' + if self.logformat: + values = values[:] + for c in self.logformat: + values[c] = 10 ** values[c] + for out, val in zip(self.output, values): + out.append(val) + +class Filter340(StdFilter): + '''filter for LakeShore *.340 files''' + + def __init__(self): + self.logformat = None + self.header = True + self.output = [[], []] + + def parse(self, line): + '''scan header for data format''' + if line.startswith('#'): + return + if self.header: + if line.startswith("Data Format"): + dataformat = line.split(":")[1].strip()[0] + if dataformat == '4': + self.logformat = [0] + elif dataformat == '5': + self.logformat = [0, 1] + elif line.startswith("No."): + self.header = False + # print('HDR: %s' % line.strip()) + return + try: + no, r, t = line.split() + self.posttreat([float(r),float(t)]) + except ValueError: + # print('SKIP: %s' % line.strip()) + return + except OverflowError: + # print('OVERFLOW:', no, r, t) + pass + +KINDS = { + # lakeshore 340 format + "z340": dict(path="*/%s.340", filter=Filter340), + "ls340": dict(path="/afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/*/*/%s.340:/home/l_samenv/sea/tcl/calcurves/%s.340", filter=Filter340), + # markus zollikers *.inp calcurve format + "inp": dict(path="/home/l_samenv/sea/tcl/calcurves/%s.inp", filter=StdFilter), + # format from sea/tcl/startup/calib_ext.tcl + "zdat": dict(path="/home/l_samenv/sea/calib_scripts/calib_data/%s.dat", filter=StdFilter, args=dict(colnums=(1,2))), + # lakeshore raw data *.dat format + "lsdat": dict(path="/afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/*/*/%s.dat", filter=StdFilter, args=dict(colnums=(1,0))), +} + +def read_curve(filename, kind, instance=None, **filterargs): + '''general curve reading''' + path = '%s' + filelist = [] + for path in KINDS[kind]["path"].split(':'): + filelist += glob(path % filename) + filelist = sorted(filelist) + if instance is None : + if len(filelist) > 1: + for i,file in enumerate(filelist): + print(i,file) + raise ValueError('instance number needed') + instance = 0 + if len(filelist) > 0: + filename = filelist[instance] + try: + args = KINDS[kind]["args"] + except KeyError: + args = {} + args.update(filterargs) + try: + filter = KINDS[kind]["filter"](**args) + except KeyError: + filter = StdFilter(**args) + print(kind, "READ %s" % filename) + + with open(filename) as f: + curves = [[] for c in filter.output] + for line in f: + filter.parse(line) + return [np.asarray(c) for c in filter.output] + +def convert_res(res1, res2, resc1, log1=True, log2=True, smooth=0): + '''interpolate (by default in log scale) the curve res1, res2 from sensors 1,2 + + resc1: input for values with sensor 1 + return nvalues: interpolated values for sensor 2 + + may also be used for converting resistivity to T or vice versa + ''' + if log1: + res1 = nplog(res1) + resc1 = nplog(resc1) + if log2: + res2 = nplog(res2) + if res1[-1] < res1[0]: + res1 = res1[::-1] + res2 = res2[::-1] + for r1,r2 in zip(res1[:-1], res1[1:]): + if r1 >= r2: + print(10 ** res1) + raise ValueError('not increasing X') + fun = splrep(res1, res2, s=smooth) + # extrapolation outside the range only linear! + beg, end = res1[0], res1[-1] + slopebeg = splev(beg, fun, der=1) + slopeend = splev(end, fun, der=1) + resc2 = np.where(resc1 < beg, res2[0] + slopebeg * (resc1 - beg), + np.where(resc1 > end, res2[-1] + slopeend * (resc1 - end), splev(resc1, fun))) + if log2: + resc2 = npexp(resc2) + return resc2 + +def compare_calib(res1, res2, test1, test2, log1=True, log2=True): + '''compare two curves + + the number of points returned is len(test1) + ''' + calc2 = convert_res(res1, res2, test1, log1, log2) + dif = (calc2 - test2) / test2 + for i, d in enumerate(dif): + if test1[i] < 2: + print(test1[i], test2[i], calc2[i], dif[i]) + elif abs(d) > 0.1: + print(test1[i], test2[i], calc2[i], dif[i]) + return dif + +def make_calib(r_dat, t_dat, r_ref, r_test, t_points, smooth=0): + '''create calibration curve + + r_dat,t_dat: data from known sensor + r_ref, r_test: resisitvities measured + t_points: points to be used for the output. + ''' + t_cal = np.asarray(t_points) + t_cal.sort() + r_dat_cal = convert_res(t_dat, r_dat, t_cal) + r_cal = convert_res(r_ref, r_test, r_dat_cal, smooth=smooth) + return r_cal, t_cal + +def logrange(first, last, decade_step=None, n=None, include_last=True): + if n == 0: + result = () + else: + loginterval = math.log10(last) - math.log10(first) + if n is None: + if isinstance(decade_step, int): + raise ValueError('decade_step must be a float. you may also use n=') + if decade_step is None: + decade_step = 0.1 + n = int(round(abs(loginterval) / abs(decade_step))) + else: + if decade_step is not None: + raise ValueError('can not specify both n and decade_step') + if not isinstance(n, int): + raise ValueError('n must be an integer. you may also use decade_step') + decade_step = loginterval / n + offset = math.log10(first) + result = tuple(10 ** (offset + i * decade_step) for i in range(n)) + if include_last: + result += (last,) + return result + +def smooth(xx, yy, smooth): + if xx[0] > xx[-1]: + xxl = -nplog(xx) + else: + xxl = nplog(xx) + return (xx, npexp(splev(xxl, splrep(xxl, nplog(yy), s=smooth)))) + + +class Measurement(object): + def __init__(self, run=None, sensor=None): + self.ref = [None] * 3 + self.tst = [None] * 3 + if run is not None: + self.read(run, sensor) + + def read(self, run, sensor): + sensor.caldat_file = [None] * 3 + for j in range(3): + sensor.caldat_file[j] = run.calib_data_file % ( + run.outputoptions['caldate'], j, sensor.channel) + self.ref[j], self.tst[j] = read_curve(sensor.caldat_file[j], 'zdat') + self.n = min([len(self.ref[j]) for j in range(3)]) + + def reduced(self, step): + meas = Measurement() + meas.n = ((self.n - 1) / step) + 1 + indices = np.round(np.linspace(0,self.n-1,meas.n),0).astype(int) + for j in range(3): + meas.ref[j] = self.ref[j][indices] + meas.tst[j] = self.tst[j][indices] + return meas + +class Sensor(object): + HEADER = '''Sensor Model: %s %s\r +Serial Number: %s\r +Data Format: %d (Log Ohms/Kelvin)\r +SetPoint Limit: %.1f (Kelvin)\r +Temperature coefficient: 1 (Negative)\r +calibrange : %g,%g\r +Number of Breakpoints: %d\r +\r +No. Units Temperature (K)\r +\r +''' + + def __init__(self, channel, serialno, model='CX-unknown'): + self.channel = channel + self.serialno = serialno + self.model = model + + def make_calib(self, run, meas, diflim=0.001, smooth=0): + '''make calibration + + algorithm: calculate pairwise difference of samples 0,1,2 + the two samples with the biggest difference are omitted for each temperature, + or, if the biggest difference is < diflim, the average is used + ''' + dif = [0,0,0] + for j in range(3): + dif[j] = compare_calib(meas.ref[(j+1)%3], meas.tst[(j+1)%3], meas.ref[(j+2)%3], meas.tst[(j+2)%3]) + refbest = np.zeros(meas.n) + tstbest = np.zeros(meas.n) + m = 0 + for i in range(meas.n): + jbest = 2 + for j in range(3): + if abs(dif[(j+1) % 3][i]) < abs(dif[j][i]) > abs(dif[(j+2) % 3][i]): + jbest = j + break + if abs(dif[jbest][i]) > diflim: + refbest[i] = meas.ref[jbest][i] + tstbest[i] = meas.tst[jbest][i] + m += 1 + else: + refbest[i] = sum(meas.ref[j][i] for j in range(3)) / 3.0 + tstbest[i] = sum(meas.tst[j][i] for j in range(3)) / 3.0 + print(dict(averaged=meas.n-m, selected=m)) + self.rcal, self.tcal = make_calib(run.rref, run.tref, refbest, tstbest, run.t_points, smooth=smooth) + self.calibrange = convert_res(self.rcal, self.tcal, [tstbest[0], tstbest[-1]]) + return (self.rcal, self.tcal) + + def write(self, rc, tc, logR=True, logT=False, path='%s/%s.340', caldate=None): + '''write a calibration curve in LakeShores 340 format + + logT, logR: use logT/logT for output + path: for output, might contain %s to be replaced by the sensor serial no + caldate: date of measurement (default: today) + ''' + try: + dataformat = {(True,True): 5, (True,False): 4, (False,False): 3}[(logR,logT)] + except KeyError: + raise ValueError("logT without logR is not possible") + if caldate is None: + caldate = time.strftime("%Y-%m-%d") + try: + path = path % (caldate, self.serialno) + except TypeError: + pass + try: + path = path % self.serialno + except TypeError: + pass + if not os.path.isdir(os.path.dirname(path)): + os.makedirs(os.path.dirname(path)) + self.outputpath = path + self.outputkind = 'z340' + if logT: + tc = nplog(tc) + if logR: + rc = nplog(rc) + for arr in (tc, rc): + if np.all(np.diff(arr) > 0) or np.all(np.diff(arr) < 0): + continue + raise ValueError('ERROR: data for %s is not monotonic' % self.serialno) + with open(path, 'w') as f: + f.write(self.HEADER % (self.model, caldate, self.serialno, dataformat, tc[-1], + self.calibrange[0], self.calibrange[1], len(tc))) + for i,(r,t) in enumerate(sorted(zip(rc, tc))): + f.write("%3d %#10.7g %#10.7g\r\n" % (i+1,r,t)) + +class CalibRun(object): + def __init__(self, + sensors, # a list of sensors + t_points=(1.0, 1.2) + logrange(1.4, 310, n=195) + (330,), + caldate=None, + logT=False, + logR=True, + calib_data_file='calib_data/calib%s_p%d_c%d.dat', + outputpath='%s/%s.340'): + + self.refsensor = sensors[0] + self.sensors = sensors[1:] + self.sensdict = dict((s.serialno, s) for s in sensors) + self.t_points = t_points + self.calib_data_file = calib_data_file + self.outputoptions = dict(caldate=caldate, logT=logT, logR=logR, path=outputpath) + + def make(self, diflim=0.001, smoothref=1e-7, smoothtst=1e-7, writeFile=True): + '''write optimized calibration curves, selecting the best samples for each temperatures + ''' + self.rref, self.tref = read_curve(self.refsensor.serialno, 'lsdat') + self.rref, self.tref = smooth(self.rref, self.tref, smooth=smoothref) + + for sensor in self.sensors: + sensor.meas = Measurement(self, sensor) + rc, tc = sensor.make_calib(self, sensor.meas, diflim, smoothtst) + if writeFile: + try: + sensor.write(rc, tc, **self.outputoptions) + except ValueError as e: + print(e)