Adding code to upload calibration curves to the LakeShore372
This commit is contained in:
203
devices/LakeShore372/curves/U08910.340
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203
devices/LakeShore372/curves/U08910.340
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Comment: 04.03.2024, FP and CMN & 300mK calibrated Cernox, 10mK--300K
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Sensor Model: RX-1000-BF0.007
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Serial Number: U08910
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Data Format: 4 (Log Ohms/Kelvin)
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SetPoint Limit: 300 (Kelvin)
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Temperature coefficient: 1 (Negative)
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Number of Breakpoints: 198
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No. Units Temperature (K)
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1 3.2956295902328776 302.29637503738195
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2 3.296971553758573 286.59226140605614
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3 3.2983135172842686 271.70396696844415
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4 3.299655480809964 257.58911041144177
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5 3.300997444335659 244.20751210549773
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6 3.302339407861355 231.52107972848407
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7 3.3036818765611495 219.49369983134258
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8 3.3050323435963356 208.09113503682508
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9 3.3063934527709518 197.28092657869934
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10 3.3077654039497144 187.03230190398392
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11 3.3091483996009528 177.3160870751909
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12 3.3105426698485854 168.10462372321913
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13 3.3119485429113964 159.3716903144932
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14 3.313365832918274 151.09242750822975
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15 3.314795228931611 143.2432673913455
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16 3.3162368461502933 135.8018663895707
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17 3.3176906985072994 128.74704166378885
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18 3.319157426347004 122.05871081054872
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19 3.320636699020502 115.71783469509784
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20 3.3221294031199156 109.70636325420453
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21 3.323635646989159 104.00718411449277
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22 3.325155697312089 98.60407388002093
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23 3.3266895030606904 93.4816519504428
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24 3.328238010142075 88.62533673828631
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25 3.3298008788239555 84.02130416071917
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26 3.3313788446867956 79.65644828764113
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27 3.3329727432588303 75.51834403408456
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28 3.3345811872805866 71.59521179072186
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29 3.336206204307136 67.87588389179719
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30 3.3378478744654845 64.34977282502827
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31 3.3395059840391 61.00684109298458
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32 3.3411815292834635 57.837572640149205
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33 3.342875053133617 54.832945764327
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34 3.3445861403197856 51.984407435288716
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35 3.346315698908105 49.28384894754648
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36 3.3480641173233012 46.72358283795236
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37 3.3498322407191785 44.29632100241391
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38 3.3516204680550605 41.995153949432975
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39 3.3534286930796613 39.81353113141089
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40 3.3552582600565795 37.74524229773012
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41 3.3571092858062257 35.784399816532066
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42 3.3589825915944305 33.9254219148681
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43 3.3608785913010175 32.16301678951433
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44 3.3627980289823687 30.49216754321982
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45 3.364741620223096 28.90811790350802
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46 3.3667098700936138 27.406358683377427
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47 3.3687039478285716 25.98261494536069
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48 3.3707235773374595 24.632833832403346
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49 3.37277133503211 23.353173030920722
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50 3.3748455474506427 22.13998983319222
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51 3.3769492037738775 20.98983076795747
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52 3.379082130210903 19.89942176969694
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53 3.3812468912200466 18.86565885861225
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54 3.3834415713505166 17.885599304775926
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55 3.3856685392929724 16.956453251298342
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56 3.387929826792408 16.07557577266593
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57 3.3902261503658764 15.240459345643886
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58 3.3925578041399542 14.448726711311119
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59 3.3949270835254253 13.698124107907942
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60 3.397334638561418 12.986514855233365
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61 3.3997820025545176 12.311873272328953
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62 3.4022709453035063 11.67227891113548
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63 3.4048025551410936 11.065911089707491
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64 3.407378355422513 10.49104370942407
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65 3.4100015348859105 9.94604034144247
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66 3.4126709440454133 9.429349568407416
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67 3.4153898146397594 8.939500568155754
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68 3.418160887344365 8.475098926845106
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69 3.4209904043122297 8.03482266958783
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70 3.423867471449978 7.617418497291169
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71 3.426804146772174 7.221698218991336
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72 3.4298048270181756 6.846535369525613
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73 3.432870807504802 6.490862002914374
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74 3.436004010114819 6.153665652324934
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75 3.4392020513422925 5.833986447963495
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76 3.4424697766282844 5.5309143846908135
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77 3.4458369896176633 5.243586731583568
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78 3.4492607571427865 4.971185576067502
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79 3.452776776304858 4.71293549563132
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80 3.4563978335001964 4.46810135049362
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81 3.460121839605028 4.2359861909395065
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82 3.4639172272350875 4.015929273369738
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83 3.467833038329369 3.807304179414953
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84 3.4718732525135834 3.6095170327607455
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85 3.4760360318685564 3.4220048086076407
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86 3.480312983322039 3.244233730953563
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87 3.4847516614737923 3.075697753136513
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88 3.489322824785482 2.9159171173121625
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89 3.4940628250494328 2.7644369887656834
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90 3.4992781908553496 2.6208261611702555
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91 3.504493556661267 2.4846758291066324
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92 3.509708922467184 2.3555984243495516
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93 3.514924288273101 2.2332265126083577
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94 3.520913958670413 2.1172117475813073
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95 3.527026477483079 2.007223879346092
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96 3.5331389962957447 1.9029498142638925
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97 3.5393943873586804 1.8040927237208286
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98 3.5465319139534577 1.710371199169777
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99 3.5536694405482345 1.6215184510672331
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100 3.560806967143012 1.5372815494249217
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101 3.5686905153641195 1.4574207038143048
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102 3.5768508955582234 1.381708580774404
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103 3.5850112757523274 1.3099296566798764
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104 3.593698085472017 1.2418796042272113
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105 3.602631619392163 1.1773647107925866
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106 3.611565153312309 1.1162013270056885
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107 3.620882639856867 1.058215343969781
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108 3.6302995177307116 1.003241697639888
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109 3.6397163956045557 0.9511238989482141
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110 3.649533300856781 0.9017135883392788
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111 3.659436352438514 0.8548701134466694
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112 3.6693479003538143 0.8104601287092384
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113 3.6797714440274105 0.7683572157869951
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114 3.690194987701007 0.728441523696159
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115 3.7007681829294663 0.6905994276389837
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116 3.711756789517688 0.6547232055571611
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117 3.72274539610591 0.6207107314880822
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118 3.7340844685272794 0.5884651848510551
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119 3.745680147471145 0.5578947748359261
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120 3.7573196563629345 0.5289124791095453
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121 3.7695684590443044 0.5014357960962763
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122 3.781859577422382 0.47538651012737754
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123 3.79443201382344 0.4506904687907373
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124 3.8074509225413267 0.4272773718471503
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125 3.8204789400748815 0.4050805711122684
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126 3.8340535211284785 0.3840368807345631
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127 3.8480390185041493 0.36408639732923054
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128 3.8622289734274187 0.3451723294560343
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129 3.877045131102691 0.3272408359556686
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130 3.891861288777964 0.3102408726844505
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131 3.9074050969632546 0.2941240472110529
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132 3.9232569930343835 0.27884448106165194
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133 3.939249533723833 0.26435867912135835
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134 3.9562141364028824 0.2506254058201632
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135 3.973178739081932 0.23760556775094957
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136 3.990811505670929 0.2252621023854283
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137 4.008898357507565 0.2135598725712115
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138 4.027525306166772 0.20246556650970152
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139 4.046669062715386 0.19194760293006582
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140 4.066269293060244 0.18197604118936814
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141 4.086464635020096 0.17252249604294276
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142 4.10708267496966 0.16356005684239572
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143 4.128212304273615 0.15506321093122177
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144 4.1497964988101135 0.14700777101997242
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145 4.1718545620357785 0.13937080633423948
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146 4.1944731546272775 0.13213057733946004
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147 4.2175931299504645 0.1252664738567274
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148 4.241320472954545 0.11875895639344891
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149 4.265650972000818 0.11258950052184033
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150 4.290637706203435 0.10674054414692336
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151 4.3162693569021275 0.10119543751391945
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152 4.342571536323674 0.09593839581272874
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153 4.369631083366805 0.09095445424457764
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154 4.397461209645033 0.08622942542292727
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155 4.426096322389766 0.08174985898737834
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156 4.455594816299184 0.07750300331560955
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157 4.485969952485805 0.07347676922435774
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158 4.517286983891768 0.0696596955561098
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159 4.549560141125718 0.06604091655354509
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160 4.5828445692629565 0.06261013092885631
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161 4.617178068253681 0.05935757253989995
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162 4.652615771955327 0.05627398258970298
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163 4.68912614277281 0.05335058327018861
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164 4.72676568020895 0.05057905277509439
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165 4.765573053660718 0.04795150161095398
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166 4.805367540464258 0.04546045013870923
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167 4.846329596238018 0.04309880728202191
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168 4.888307477100742 0.0408598503416756
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169 4.931236929634964 0.03873720585860732
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170 4.975023573391239 0.036724831471093074
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171 5.019510673835353 0.034816998714441556
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172 5.06456090421599 0.033008276714233335
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173 5.109977140496435 0.03129351672668646
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174 5.155565201987605 0.029667837482140764
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175 5.201123341544657 0.02812661128993907
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176 5.246436209367498 0.026665450865151596
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177 5.2913068994535655 0.025280196839644054
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178 5.335601353712727 0.023966905921938023
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179 5.379134719679635 0.022721839672159586
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180 5.421779127089443 0.021541453860122534
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181 5.463440548802624 0.02042238837625263
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182 5.504046641622135 0.019361457666633382
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183 5.543560197902048 0.018355641664945254
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184 5.581962708369557 0.01740207719548528
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185 5.619232597122327 0.016498049822794465
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186 5.65538878178095 0.015640986124692228
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187 5.690449928333749 0.014828446366721992
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188 5.724435993781677 0.014058117557154814
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189 5.757380641974088 0.013327806862781469
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190 5.789364194551921 0.012635435366750132
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191 5.82032460391876 0.011979032150680542
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192 5.850468560762334 0.011356728684208848
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131
devices/LakeShore372/curves/UploadTempCurve.py
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131
devices/LakeShore372/curves/UploadTempCurve.py
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#Arg1=filename
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#Arg2=base PV inc channel
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#python UploadTempCurve.py U08910.340 SARES31-DIL-TST1:CV1
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from epics import caget, caput
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#Comment: 04.03.2024, FP and CMN & 300mK calibrated Cernox, 10mK--300K
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#Sensor Model: RX-1000-BF0.007
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#Serial Number: U08910
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#Data Format: 4 (Log Ohms/Kelvin)
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#SetPoint Limit: 300 (Kelvin)
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#Temperature coefficient: 1 (Negative)
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#Number of Breakpoints: 198
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#No. Units Temperature (K)
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#1 3.2956295902328776 302.29637503738195
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#2 3.296971553758573 286.59226140605614
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#3 3.2983135172842686 271.70396696844415
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#4 3.299655480809964 257.58911041144177
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import sys
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#import re
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with open(sys.argv[1], 'r') as f: #File of pv names to a list
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data= f.readlines()
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Model="?"
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SN="?"
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DF="?"
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DFU="?"
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TC="?"
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TCU="?"
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BPS="?"
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SPL="?"
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SPLU="?"
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a = [0] * 205
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b = [0] * 205
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c = [0] * 205
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lastpoint="0"
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for line in data:
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#print(len(line))
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if (len(line)>10):
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sp=line.replace("\t"," ")
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sp=sp.replace("\n","")
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# sp =re.split(' |\n', sp)
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if ":" in line:
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sp=sp.split(":")
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sp0=sp[0]
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pos=sp[1].lstrip()
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#print("line:"+line)
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#print(" '"+sp0.lower()+"' ")
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#print(pos.split(" "))
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if sp0.lower()=="sensor model" :
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Model=pos.split(" ")[0]
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if sp0.lower()=="serial number" :
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SN=pos.split(" ")[0]
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if sp0.lower()=="data format" :
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DF=pos.split(" ")[0]
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DFU=pos.split(" ")[1]
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if sp0.lower()=="setpoint limit" :
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SPL=pos.split(" ")[0]
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SPLU=pos.split(" ")[1]
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if sp0.lower()=="temperature coefficient" :
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TC=pos.split(" ")[0]
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TCU=pos.split(" ")[1]
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if sp0.lower()=="number of breakpoints" :
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BPS=pos.split(" ")[0]
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else:
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q=sp.split()
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#print(sp)
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#print(">"+q[0]+"<")
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if (q[0].isdigit() ):
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#print(">"+q[0]+"<")
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#print(q[1])
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val=int(q[0])
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a[val-1]=val
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b[val-1]=float(q[1])
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c[val-1]=float(q[2])
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lastpoint=q[0]
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else:
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sp="XXXX"
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pv = sys.argv[2].strip()
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print ("Upload: "+Model+","+SN+","+DF+","+SPL+","+TC+","+BPS+","+str(lastpoint)+" PV:"+pv)
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#print(a)
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#print(b)
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#print(c)
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caput(pv+"_NAME" ,Model.encode())
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caput(pv+"_SN" ,SN.encode())
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caput(pv+"_FORMAT" ,DF.encode())
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caput(pv+"_SPLIM" ,SPL.encode())
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caput(pv+"_COEF" ,TC.encode())
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caput(pv+"_BPTS" ,BPS.encode())
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caput(pv+"_NO" ,a)
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caput(pv+"_UNITS" ,b)
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caput(pv+"_TEMP" ,c)
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caput(pv+"_NUM_ROWS" ,lastpoint.encode())
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print ('Finished')
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7
devices/LakeShore372/readme.md
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7
devices/LakeShore372/readme.md
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@ -0,0 +1,7 @@
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# How to upload .340 curve to a LakeShore 372 in EPICS
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If something unclear, contact the creator Edwin
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active the enviromnet with pyepics in it. Then in this folder run 'python UploadTempCurve.py _340-file_ _LakeShoreBaseName:CVCurveNumber_'
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e.g. python UploadTempCurve.py U08910.340 SARES31-DIL-TST1:CV1
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the code gives an error, but works.
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Reference in New Issue
Block a user