calib_scripts/calib_cernox_2023-06-22.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."
   ]
  },
  {
   "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<ipython-input-3-e7e8a820ce5b>\u001b[0m in \u001b[0;36m<module>\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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
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "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": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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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
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAECCAYAAADkaECYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAIABJREFUeJzt3Xd4FNX+x/H32c3upmdTKCG0AKF3I4iIBlEEBEHFgogNRLz2nyLotVwVxWvXi4o0EaUIFqSKglKl9xJKCC2QkN7r7p7fHxuqm5DAxiTwfT1PHtiZc86cXYZ8duacmVFaa4QQQojzGSq7A0IIIaomCQghhBAuSUAIIYRwSQJCCCGESxIQQgghXJKAEEII4ZIEhBBCCJckIIQQQrjkUdkdOEUp5QN8ARQCy7XW0yu5S0IIcUWr0CMIpdQUpVSiUmrXect7KaX2KaVilFKjixffAfygtX4UuK0i+yWEEOLCKvoU01Sg19kLlFJG4HOgN9ASGKSUagnUBY4VF7NXcL+EEEJcQIUGhNZ6JZB63uJOQIzWOlZrXQjMAvoDcThDosL7JYQQ4sIqYwwijDNHCuAMhs7AZ8A4pdStwPySKiulhgMjAavZbA5p2LBhBXZVCCEuP/v370/WWte4ULkqM0ittc4BHi5DuQnABIDIyEi9adOmiu6aEEJcVpRSR8pSrjJO5RwH6p31um7xMiGEEFVIZQTERiBCKRWulDID9wLzKqEfQgghSlHR01xnAmuBZkqpOKXUUK21DXgSWAJEA7O11rsrsh9CCCHKr0LHILTWg0pYvghYVJHbFkIIcWlkOqkQQgiXJCCEEEK4JAEhhBDCJQkIIYQQLklACCGEcEkCQgghhEsSEEIIIVySgBBCCOGSBIQQQgiXJCCEEEK4JAEhhBDCJQkIIYQQLklACCGEcEkCQgghhEsSEEIIIVySgBBCCOFSlQoIpVQjpdRkpdQPld0XIYS40rktIJRSU5RSiUqpXect76WU2qeUilFKjS6tDa11rNZ6qLv6JIQQ4uK585GjU4FxwLRTC5RSRuBz4GYgDtiolJoHGIGx59V/RGud6Mb+CCGEuARuCwit9UqlVMPzFncCYrTWsQBKqVlAf631WKCvu7YthBDC/dx5BOFKGHDsrNdxQOeSCiulgoG3gQ5KqZeKg+T8MsOBkYDVarWyfPly9/ZYCCEEUPEBUS5a6xRgxAXKTAAmAERGRuqoqKh/oGdCCHHlqehZTMeBeme9rlu8TAghRBVX0QGxEYhQSoUrpczAvcC8Ct6mEEIIN3DnNNeZwFqgmVIqTik1VGttA54ElgDRwGyt9W53bVMIIUTFcecspkElLF8ELHLXdoQQQvwzqtSV1EIIIaoOCQghhBAuSUAIIYRwSQJCCCGESxIQQgghXJKAEEII4ZIEhBBCCJckIIQQQrgkASGEEMIlCQghhBAuSUAIIYRwSQJCCCGESxIQQgghXJKAEEII4ZIEhBBCCJckIIQQQrgkASGEEMIltz1Rzh2UUgOAWwF/YLLW+rdK7pIQQlyx3PlM6ilKqUSl1K7zlvdSSu1TSsUopUaX1obWeq7W+lFgBHCPu/omhBCi/Nx5BDEVGAdMO7VAKWUEPgduBuKAjUqpeYARGHte/Ue01onFf3+luJ4QQohK4raA0FqvVEo1PG9xJyBGax0LoJSaBfTXWo8F+p7fhlJKAe8Ci7XWW1xtRyk1HBgJWK1WK8uXL3fXWxBCCHGWih6DCAOOnfU6DuhcSvmngJuAAKVUE631+PMLaK0nABMAIiMjdVRUlPt6K4QQ4rQqNUittf4M+Kyy+yGEEKLip7keB+qd9bpu8TIhhBBVXEUHxEYgQikVrpQyA/cC8yp4m0IIIdzAndNcZwJrgWZKqTil1FCttQ14ElgCRAOztda73bVNIYQQFceds5gGlbB8EbDIXdsRQgjxz5BbbQghhHBJAkIIIYRLEhBCCCFckoAQQgjhkgSEEEIIlyQghBBCuCQBIYQQwiUJCCGEEC5JQAghhHBJAkIIIYRLEhBCCCFckoAQQgjhkgSEEEIIlyQghBBCuCQBIYQQwiUJCCGEEC5VqYBQSrVQSo1XSv2glHq8svsjhBBXMnc+cnSKUipRKbXrvOW9lFL7lFIxSqnRpbWhtY7WWo8A7ga6uqtvQgghys+dRxBTgV5nL1BKGYHPgd5AS2CQUqqlUqqNUmrBeT81i+vcBixEHlMqhBCVyp3PpF6plGp43uJOQIzWOhZAKTUL6K+1Hgv0LaGdecA8pdRCYMal9Cnt+9lkLlhwKU0IIUS159+3L4H33F3uem4LiBKEAcfOeh0HdC6psFIqCrgDsFDCEYRSajgwErBarVaWL19e4sYDv/sOj7g4bHXrlrvjQghxOfCIiyM9PZ3ttWqWv24F9Oeiaa2XA8svUGYCMAEgMjJSR0VFlVj2yOQpYLXS4Ntp7uukEEJUI0eGPABAu1J+V5akomcxHQfqnfW6bvEyIYQQVVxFB8RGIEIpFa6UMgP3AvMqeJtCCCHcwJ3TXGcCa4FmSqk4pdRQrbUNeBJYAkQDs7XWu921TSGEEBXHnbOYBpWwfBEyZVUIIaqdKnUltRBCiKpDAkIIIYRLEhBCCFGNTVt7mP6fryErv8jtbUtACCFENZWQkc/YRXvZfiyd937d5/b2JSCEEKKa+u+ve7FrTd+2oXy77ggbDqW6tX0JCCGEqIYOJefw89bjDL0unPcGtiXIx8yM9Ufcug0JCCGEqIZ+35MAwODO9fE2e9ChnpXdJzLdug0JCCGEqIaWRifSvLYfdQO9AWhVx5+DSdnkFdrdtg0JCCGEqGbScgrZdDiVm1rUOr2sVVgADg17E9x3FCEBIYQQ1czy/Yk4NPRoceYW3q3q+AOwy42nmSQghBCimlkanUiIr4V2da2nl4VZvQjwMrHnRIbbtiMBIa5oaTmFHDiZVdndEKLMCm0OVu5LokfzmhgM6vRypRSt6vi7daBaAkJcsWx2Bw9M2UCfz1bx2+6Eyu6OEGWy8XAqWQW2c04vndI6LIC98VkU2R1u2ZYExBVk94kM1h5Mcessh+rsm7VH2Hk8g5p+njwxYwt/HUyu7C4JcUFLo09i9jBwXUTI39a1quNPod3BwaRst2xLAuIKsftEBnd++ReDJq6j/Zu/XfHfmBMz8/nwt31ENavB4me7EeJrYeLK2MrulhCl0lqzNPokXRsH423++9MamtT0BeBgYo5bticBcQVIzy1kxHebCfAy8eXgjjSr7cdTM7ey6bB7L8uvThbsiCe30M4rt7bA39NE//ZhrDyQTEp2QWV3rUpzODRa68ruRrVkd2jGLo7mqrd+556v1jJzw1EcjvJ9lgcSszmWmsdNLWu5XB8e4gMgRxCi7MaviOVEej5f3teO3s38+fqhq6lj9WL4t5s5mZlf2d2rFL/uTqBZLT+a1PSjwF5AlvfPmGpP55mlr7I7WR566EpSVgE9PlpB81d/pe//Vrntl9Ap+UV2/jV9M9e8s4x+/1tNdLx7rwquTA6H5onpW/hqRSxt6waQkVfESz/t5N6J69gRl17mdhbuiEcp6NHcdUB4mz2oE+BJrATEP2PfsQQ2zfuSQxuq50Px7A7Nz1vj6N/Eg47ze8M7dQj+oiUzuiaQV2jn2VnbsJfzW0xVkJJdwNdrDrFgxwnScgrLVTcpq4CNh1O5pXVtcotyeXLZk8w7PAMv3wR2pP/BvQvv5V9L/0VcVlwF9b76sTs0z32/jRPpeQzu3ID49HyGTFrP8fQ8t7X/7KxtLNqZQGTDQE6k5/H87O0XHmzVGrZ8C+snQHKMW/pSEX7bc5Jfdycw8pZmfP1wJxY/043/3tmG/SezuG3cGoZO3XjBoHA4ND9uieO6JiHUDvAssVyjGr7EJssppgq3eO4MQie1J3LLaMIWDSHvwIrK7lK5rTqQREZmJq9lvQUZcXDDaAhsQOiSEcxou5W1sSmM+6Pq/sdyJTYpmzu+/IvFC36k4KdBrPy0DwWJB8pcf2n0SbSGXq1q8876d9iQsIExXcfwaKOvyNz/Eg+
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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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
      "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",
    "    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": []
  }
 ],
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   "language": "python",
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  "language_info": {
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