fpraktikum/PET/auswertung/Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "from utility import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Einlesen der Daten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "mitte = [load_counts('../messungen/mitte/Cal_2020-01-10_09-24-T.txt'),\n",
    "load_counts('../messungen/mitte/Cal_2020-01-10_09-24-EdetA.txt'),\n",
    "load_counts('../messungen/mitte/Cal_2020-01-10_09-24-EdetB.txt')]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "channels_t = np.arange(1, mitte[0].size + 1)\n",
    "channels_e = np.arange(1, mitte[1].size + 1)\n",
    "energies_a = energy_a(channels_e)\n",
    "energies_b = energy_b(channels_e)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Plot ueber Energie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib qt5\n",
    "fig, ax = set_up_plot()\n",
    "ax.set_xlabel('Energie [keV]')\n",
    "ax.set_ylabel('Normierte Zaehlrate')\n",
    "ax.step(energies_a, mitte[1]/mitte[1].max())\n",
    "ax.step(energies_b, mitte[2]/mitte[2].max())\n",
    "save_fig(fig, 'mid_over_energy', 'calibration')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Plot ueber Energie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fa6d7c70e10>]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib qt5\n",
    "fig, ax = set_up_plot()\n",
    "ax.step(channels_e, mitte[1]/mitte[1].max())\n",
    "ax.step(channels_e, mitte[2]/mitte[2].max())\n",
    "save_fig(fig, 'mid_over_channel', 'calibration')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "range_b = [1600, 2300]\n",
    "range_a = [2800, 3600]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fa6d80fa860>]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = set_up_plot()\n",
    "ax.step(channels_t, mitte[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "range_t = [970, 1140]"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "argv": [
    "python",
    "-m",
    "ipykernel_launcher",
    "-f",
    "{connection_file}"
   ],
   "display_name": "Python 3",
   "env": null,
   "interrupt_mode": "signal",
   "language": "python",
   "metadata": null,
   "name": "python3"
  },
  "name": "Untitled.ipynb"
 },
 "nbformat": 4,
 "nbformat_minor": 2
}