calib_scripts/plot_calib.ipynb

{
 "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": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "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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cZcW7GzinYTEX+5fj8xkfjp5J8le/zcDc8QS6edpZ21xLUcXbrKl8l9Xl77Kmeh1NkcaP9+eEI4wItZLSmklqJEh2NIV+pNHP0khNSMbn9xFuaaI+VMfOaB011kBtQgsfpNXzXoqPxKhjSkuYmVljOeKQKW2nxF2cBYRDjcy4byIVBj85+mHOndD2irGmvoX7H5jLayyjKDmRHH82/3H4N5kx5lxyUnI+bn/LK4+woPgaRoVC3PbVm+g/5nScc/z4jpN4Mb2GG8b+iCkFsz815qodq5izfA5HNYW4c1sZSfbpn5+WQCbliUEeS3AsyYDyBKNvBM5uSeKMrGGMGnQsljsOBoyF4BAwg+bdULoKSl5n99ZXeaNqHWsCjo2JCWxMTKAy4P0LzpyjXyRCn6hjh99Hrf+zr/iHWSI/OfE3nDLijE+dof3l5f/jts33Mq45wF0XryAtOQOA15/9JVduXUKlP4B/9+ncMe3nHDc8p8uzu2g4xLPLruHlDx/m9WQ/1T4/Id9+nAl2MiB5MEf2P4IJA8YxNnssozKGkrF7O41la9m5+V3C24vIqN1An0gFhakpzM/KZk2yj3RfEuOzRrKyeh1+HKc1+rn0pN8wYuzZALRGW3lx64ss2rCIVTtWYRgOR0ZCBmePPJvzh01hWH017FgL1Zsp37mBpxq28mRCKx8kJpIcjTK9voFv1DbhC2XTkJpHemYf0nc+z8xBA2lJyOLBcx4hL2PAp55Pa1MdLz34c+5uKqQo+ZOfdXOO/pEomfj4IGAMbm1lbk0DRwePYvfAE2nKPZYRuX0JEIVoGKJhWlobuPfla7jLdoMvgbSWaXy45VjOGDeYKWNzCYWjhCJRmlpDlDZs5LGtv6MfO1k8ejabR5/MRU9fRNElRQddQJwAXOuc+/f27V8BOOeu61RvDjAXCPYbkpQz/JpRNHb6ucgJwyU1TSTVD6ao9Si2Zx5J3sB8jh7gp6U1QmjDMk6tW8iqNFiQMZhNKU04op+MAQRdgD5RR9RFCBGhFWgxaDYfrQZX72whp2UMKyJH8kzzGFojjkcTf02yhTi75bfsTuxHTrKP7BQjN81Hbpox1rZwZvHVNKXk8og7hXDgUW7OzuBIXy4X5f2cJF8Sm3a9zM21i5m+C95t/C0/PT6Ir/2Hc9vmhVznf40jd+Vx1shfMCDNR0ldlLXrH+GVnBdJi/q4IOtnZAXTuKfqHkpCJZyUcRLT+0wnwRKIOseG6gj/3P4GYZawIa2OFp+PgHMMCDsGRgMM9KXQ3zKJEqEx2kija6HetVJPmEo/fJjQ9svKnGNkayvjm1sYEwqRH/LRyBiqMk+gJfcYcoMZJPr3/osi6hx1IVhbFeatbWtpSnieiqwSQj7H2JYWLm1MJmHM/9CamPmZtqs/uo0FbGDCzhP5zoQLPvNLrOqjd4lW3MpTmT7eSk7GnDGAIzg1eCJVza081zSfQ1tb+GnKmbQMnvZxu4+qdvJo9dVUBfz8cvBvyEjoC0BlayU3br+B7FADfy6r5Z7gVRx9SB65roKU5gpSmnaQ3LyDhNY6cI7GcJhC18zTyQ28l9rafmxGOKa5mYLmFia0Gv19WRRHq1iZksQ/k5NZl5RE1MDvjMxwJjRm41r6k+PP56jsoRBpoLyhjF2tO2hmJ9FALeFACH9rGpFQDo2hgdSEhlDTms/UjIfYlvMOmxMTGBnI56yc8xmeNJwXdj3Lo7VLOKEhxOmDfkMw+MmLDZxjQPGd3B1axbL0NKKhbAKhfAYl5jEuI49j+w4mJyFISUsZL29fSnF0LVUBSIpCMHQIFu2PRZJx4WRcazKRcDJp4WYGunIGWzlDrIJ8XwU5VosDGlwSRW4Ya90hbAwcwk5fGmHbQnrKJsLJFTQlhD6eWlo0Sm44TL9wlLRwEs5l8E56hGp/E339fZmUOYnj048nxZdCVaiSJR/dR1HCFqLAya1pZGSM4cXQena5BjJdOoPqRpFcMZS+SZupCn7AuvRGImac0NTESY1NvJCSzqqURJxB/6Y0+u4eTmvteFIyhjBqYA4FuQlkJrUdc8k71+E23syPcxPJbE3n2wN+zbCsNELhKDs3rqCm+e/M75OA3wU4vPUE0pqSSGuM0qepmf6ujhyr5dWUZJ7PqSSUVEu4fjTNO87EteaQkQBHDmykb9+NVPve4/3m9wm5EMe0ZHB9+fsUh8eyetR/MT7f+5LotqJb+UP6Rga78eRnZvJ6w+u8ffHbB11AnAdMcc59r337QuA459zlXbXJHjTEzf7Tk+Rn+9i+exfl9bupaqgjxQaRnZrGpNH9Oe3w/gRTEz/Ttn5XJaUPX8mokgfZRhpbEpIhUEd5wE+FP8A2fyJl/hTC0UQiLolWl0QomkKzS6GxYTRlDV8hv08qw3PSGZGTxoh+aRzmL+OY52ZgmYPwfW/5p1/51nwEd08GfyLMepZIei7X3f8kGeVXMb9fhHGBTH5/yp+4eNklpIQjNJfNZf6PLmBw39RP+nCOX9x3Es+5asbs+CbDDzuL5ndv5o3Br+G3BO498x8Mzmk7vQ1FQty0+ibuX38/h/c9nCsmXsHq8tU8WvwoJXUlpCWkc1TyBPpUN1LZtI16q6U+oZmdCRHq23+xJzhHWtRHcsRPQjRAIJxI3+Z0+rVkcVhyLiOysxnSvw/5Qw8ladQkSOjm5Yg9+KC8jr+9voHHi5eQkPEsrQl1/KA1iTkzluLr8Kpsx86NTF9yLsOaAvx48rN8ZVQ/z/5cSx07XpxH5Zp5LEtu5tH0DOran9+YlhZuyz2Tfmfd+Jl2N9z93/zDt4ijkgdx14zl7A7t5ttPnE9NXRl3ltby9JA/8rMLz8PXjVfLzjmeL17PorXPs7ZiFaHARsIJDQCYA2dgzkiODKG5/lAadh1CpCmfgVnpnHdMPucdk8/Q7LTP9NsYCrNu224+KK8n4DeSAj6SE/wkBXwk+n08+nYZJW8/zenZ87inTwpVfh9H9juSNZVrmNzQyDnDr+VrUy/87ISjEdyib7O07CX+kTuOD8K7qffVf7w74BIJWwi/cxzTFGVUn6lcOOVq8oLBLr8GkaijIRSmvjlMfUuYxtqdZFe+Tt8dL5O6tRCrLWmrmNIHmmo+bvdBQg7PJg5kbSCD3enpNKcFaEkMUR+pprp5J+NyxnHR2Is4dcipnz3rBx5ctYpHXvsVH2TuoMVnnNjYxIzd9XytqYmOryt3Jw3kvfSRPJKSxIrANhqsnhTL4dC0kyjImcyoPiPITk9kRE4a/bu67NZcy8MLL+I3tomCBh8npv+I3NL5PJxdyaqUZManHs5NZ9xOv9RPjtVwJEpJTRObK+sJhaM4IrxW+TjPbLuPcDTE+ODJfLCrmDq3pb1BkGGpx+DqJlC0OYff5L3JRTV/wrLyYMbf285MOwq34G46gqtT+/F4eh0JvgSGJB3H4xfc+cUPiGOOKXCrV3fvJnVXotveZdey62iK+qlJH8nO1EOoTBnBzsAAws5ITvCTlugnJdFPWmKA1CQ/2WlJDM1OJTnB4ybe5pfg/nNh2FfhWw+1XR9urIa7vw4NFfDd5dC/7Zd4OBLlRw+sIrHsd6wYuAmfg7DB4I+mccm0y/mPY/I/031lzSamPTadcc1RDisfy7LBRbQEkrh32iKGZ3/22mdhSSFXvXoVtS1t779ybO6xnDPyHE4betqnrrlu29XEqg+reX1LNW9+tA3DT1ZKGpnJCWSmBMhKSSAnPYmjh/RhwpCg93OPoZZwhD+/9B4Pv/f/2JX5ISeEfVw/fTF9c9ouI/1o4dd5rbmMk1ov48Y5/7n3DiOtsPYh6lf8kVdaSnk3KZFZWceQc+GDbTf/Oqmoa+aWeZNZkrOLuYddyIrKd1hdtYY/bq/j+T7Xc83sC0jw7/siQOcc67fv5sF33mX5lteobC7F3zqUgUnjGBLsS14whfw+qYwdlMmJI3PwH+DlmlUfVvOnh5/nJ7t/yz/71HJPsA+T6+uYFJ7E5B/f3fXCgFAj3DcdStuWvu72GR8kJLIhMYHNiQkMbXUcMWQG48+8Bl9Sqncf3eUc7NwEm55vu7STMwpyx0HukZCW02WzqIt26/7h2tJa5t73GH2bN5Cf1o9jh+dw3MgBDM7OwPwJ0GfYp8YJR8OU1JUwNHPoPt+fBPjLMz/ltvLnOLmhkddTknH+JK447lecc+h53V6IUdVUxU2rb2LplqUckX0EJwz8KsmhI3izOJkX368k4DeuOXMs/3F0Hla6Cv5xIbTUQd7RbfeummqgeReE2oJ929R5TH77PnwpW2ksuYjNV//ioAuIbl1i6mhfVjF9rt5+AB6/DCZcCKff0PaDtu0duOgxGPqVT1UNhaNcev9qtpX+g5q8ZQyqGcmgAVdz2zcndHkwzX/1v7mpeDE54QgtgUTmn/4Ah/XresXMjoYdrChdwfEDj2dI5pCYPtV4u2/lh9z/0u/YmfsaWc644aQbqQvV8sPXf8upO4PMmfEUYwZ99vJTl6JR+GA5fPgyTLoCkjK6rLpg+Spe2XQhr6e23WD+VUUD/0z8LdddOoO0JO/7AvuqrrmV9KTA/q3g6qbWSJT7VrxHbuFcvm6vsYnhDPjpy/TJ6vq5A2333ao3QagBWhvb/h9qgHAzDP83yPrsC5jeandzK1V1LQzPSYvr1xraXgRc+9JcHvloGcf2G89//9vvyUvP2+++Os+3KRQB+PQqs7odsHQuNFRBShCSg5/8P3MQHPUtrn/+n8x/dzE/GP99/uvrYw66gAjQdpP6VKCMtpvU33TOreuqTa8NCIAX/gdW3AB9R0D1Fjj/Xhgz3bNqc2uE7937Jq8U7yA3M51nfvI1z8ti/xKKhDj3wclUhHYz79/nc9SACfF6Fr3CQ6tLue/JOwjnPcq2QIB085EdamFC8h+59sLT4zZuKBzlmhuvpqjvw5zaEGZN6Gr+7z9n0jet6+9Nb7atppHCxxcwZuIpHDWm65U2cuDC0TBFVUUc2e/I/ToLiQfnHOW7W8jNSsbMDq6AADCz04GbaVvmOt859797qt+rA8I5ePh7UPQQTPk9HH/pHqs3hSL8Ydn7nDV+EBOGdL3+/l/KG8ppjjQzNHNorGbcqz25Zht3P/gAQwbexYrURM4sO5TZP7j/0/do4uCF9Tt4/G83U5Y2hpsvO4/8PvEdT+TzcFAGxL7q1QEBbafole9D7hE9PZMvhGffK+eOvy/mTN+zVBx9NVecfWzcx3TO8chbZRw9tA/Dcz57o1jkYNTdgIjNhVTx5g8oHGJo8pgBJF88g7+tPIHrJx/5uYxpZp6LBUS+DBQQclD52qh+fK2LJa0iElu94+6JiIj0OgoIERHxpIAQERFPCggREfGkgBAREU8KCBER8aSAEBERTwoIERHxpIAQERFPCggREfGkgBAREU8KCBER8aSAEBERTwoIERHxpIAQERFPCggREfGkgBAREU+9KiDM7HAzu9PMHjKzH/T0fEREvsxiEhBmNt/MKsysqFP5FDPbYGbFZnbF3vpxzq13zl0KnA+cGIu5iYjI/onVGcQCYErHAjPzA7cDU4ExwEwzG9O+b5yZPdnp0b9931nAU8DSGM1NRET2QyAWnTjnVpjZsE7FE4Fi59xmADNbBEwH3nPOrQWmddHXEmCJmT0F/D0W8xMRkX0Xk4DoQh5Q0mG7FDhuTw3MbBJwLpBEF2cQZjYHmAsEg8EghYWFsZiriIh00q2AMLPngFyPXVc65x6P1WScc4VA4V7qzAPmARQUFLhJkybFangREemgWwHhnDttP/ouAwZ32M5vLxMRkYNAPJe5rgJGmdlwM0sEZgBL4jieiIjEUKyWuS4EVgKjzazUzGY558LA5cAyYD2w2Dm3LhbjiYhI/MVqFdPMLsqXouWqIiIHpV71l9QiItJ7KCBERMSTAkJERDwpIERExJMCQkREPCkgRETEkwJCREQ8KSBERMSTAkJERDwpIERExJMCQkREPCkgRETEkwJCREQ8KSBERMSTAkJERDwpIERExJMCQkREPMXkE+VixczOBs4AMoG7nXPLe3hKIiJfWrH6TOr5ZlZhZkWdyqeY2QYzKzazK/bWj3PuMefcbOBS4IJYzE1ERPZPrC4xLQCmdCxGfDKrAAAF50lEQVQwMz9wOzAVGAPMNLMx7fvGmdmTnR79OzS/qr2tiIj0kJhcYnLOrTCzYZ2KJwLFzrnNAGa2CJgOvOecWwtM69yPmRlwPfC0c+4tr7HMbA4wFwgGg0EKCwtj8RRERKSTeN6DyANKOmyXAsftpc0PgdOALDMb6Zy7s3MF59w8YB5AQUGBmzRpUmxmKyIin9KtgDCz54Bcj11XOucej9VknHO3ArfGqj8REdl/3QoI59xp+9F3GTC4w3Z+e5mIiBwE4vl3EKuAUWY23MwSgRnAkjiOJyIiMRSrZa4LgZXAaDMrNbNZzrkwcDmwDFgPLHbOrYvFeCIiEn+xWsU0s4vypcDSWIwhIiKfL73VhoiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIgnBYSIiHhSQIiIiCcFhIiIeFJAiIiIJwWEiIh4UkCIiIinXhUQZjbCzO42s4d6ei4iIl92sfrI0flmVmFmRZ3Kp5jZBjMrNrMr9taPc26zc25WLOYkIiIHJlZnEAuAKR0LzMwP3A5MBcYAM81sTPu+cWb2ZKdH/xjNRUREYiBWn0m9wsyGdSqeCBQ75zYDmNkiYDrwnnNuLTAtFmOLiEh8xCQgupAHlHTYLgWO21MDM8sG/heYYGa/cs5d51FnDjAXCAaDQQoLC2M3YxER+Vi3AsLMngNyPXZd6Zx7PFaTcc7tBC7dS515wDyAgoICN2nSpFgNLyIiHXQrIJxzp+1H32XA4A7b+e1lIiJyEIjnMtdVwCgzG25micAMYEkcxxMRkRiK1TLXhcBKYLSZlZrZLOdcGLgcWAasBxY759bFYjwREYm/WK1imtlF+VJgaSzGEBGRz1ev+ktqERHpPRQQIiLiSQEhIiKeFBAiIuJJASEiIp4UECIi4kkBISIinhQQIiLiSQEhIiKeFBAiIuJJASEiIp4UECIi4kkBISIinhQQIiLiSQEhIiKeFBAiIuIpJh8YFCtmlgbcAYSAQufcAz08JRGRL624nkGY2XwzqzCzok7lU8xsg5kVm9kVHXadCzzknJsNnBXPuYmIyJ7F+xLTAmBKxwIz8wO3A1OBMcBMMxvTvjsfKGn/dyTOcxMRkT2Ia0A451YA1Z2KJwLFzrnNzrkQsAiY3r6vlLaQiPvcRERkz3riHkQen5wlQFsoHNf+70eA28zsDOAJr8ZmNgeYCwSBZjNbF6d5ZgG1ceo71mPsbz/70q67dfdWb0/797QvB6jqxvi9wcFy7HxRjps97ddx4z3G0G7Vds7t9wN4DijyeEzvUGcYUNRh+zzgrx22LwRuO5B5xOMBzDtYxtjffvalXXfr7q3envbvZd+bPX1MfN7f13iP8UU5bva0X8fNgY1xQGcQzrnT9qNZGTC4w3Z+e1lv43kG00vH2N9+9qVdd+vurd6e9n8eX/PPw8Fy7HxRjpt9Gac363XHjbWnStyY2TDgSefcEe3bAWAjcCptwbAK+KZzLl6XiuQLwMzedM4V9PQ85OCi4+bAxHuZ60JgJTDazErNbJZzLgxcDiwD1gOLFQ7SDfN6egJyUNJxcwDifgYhIiIHJy0lFRERTwoIERHxpIAQERFPCgg56JjZCDO728we6um5yMHFzM42s7vM7B9m9vWenk9vp4CQXmFf3tjRtb1Ny6yeman0Nvt47Dzm2t4M9FLggp6Y78FEASG9xQL27Y0dRf5lAft+7FzVvl/2QAEhvYLb9zd2FAH27dixNr8HnnbOvfV5z/Vgo4CQ3szrjR3zzCzbzO4EJpjZr3pmatLLeR47wA+B04DzzOzSnpjYwaRXfaKcSHc453bSdg1ZZJ84524Fbu3peRwsdAYhvdnB8saO0vvo2IkBBYT0ZquAUWY23MwSgRnAkh6ekxwcdOzEgAJCegW9saPsLx078aM36xMREU86gxAREU8KCBER8aSAEBERTwoIERHxpIAQERFPCggREfGkgBAREU8KCBER8aSAEBERT/8fS2ZI11EC8qAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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,
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