calib_scripts/calib_cernox_2021-04-26.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": 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": {
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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 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": {
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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 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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
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-26/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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
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-26/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": "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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",
    "    # 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",
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 },
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}