fpraktikum/PET/auswertung/Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "from utility import *\n",
    "from scipy.constants import c\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Einlesen der Daten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "rng = 7000\n",
    "rng_t = 3000\n",
    "mitte = [load_counts('../messungen/kalib/mitte/Cal_2020-01-10_09-24-T.txt')[0:rng_t],\n",
    "load_counts('../messungen/kalib/mitte/Cal_2020-01-10_09-24-EdetA.txt')[0:rng],\n",
    "load_counts('../messungen/kalib/mitte/Cal_2020-01-10_09-24-EdetB.txt')[0:rng]]\n",
    "\n",
    "rechts = load_counts('../messungen/kalib/rechts_b/Cal_2020-01-10_10-04-T.txt')[0:rng_t]\n",
    "rechts_e = [load_counts('../messungen/kalib/rechts_b/Cal_2020-01-10_10-04-EdetA.txt')[0:rng],\n",
    "load_counts('../messungen/kalib/rechts_b/Cal_2020-01-10_10-04-EdetB.txt')[0:rng]]\n",
    "\n",
    "links = load_counts('../messungen/kalib/links_a/Cal_2020-01-10_09-45-T.txt')[0:rng_t]\n",
    "links_e = [load_counts('../messungen/kalib/links_a/Cal_2020-01-10_09-45-EdetA.txt')[0:rng],\n",
    "           load_counts('../messungen/kalib/links_a/Cal_2020-01-10_09-45-EdetB.txt')[0:rng]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "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",
    "len(mitte[1])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([False, False, False, ..., False, False, False])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "links_e[0] == rechts_e[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Plot ueber Energie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "range_t = np.array([970, 1140])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 970, 1140]),\n (array([46.81285, 55.02385]), array([0.02728758, 0.02979973])))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range_t, channel_to_time(range_t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "range_b = np.array([1600, 2300])\n",
    "range_a = np.array([2800, 3600])\n",
    "e_range_a = energy_a(range_a)\n",
    "e_range_b = energy_b(range_b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([2800, 3600]), array([582.2, 725.4]))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range_a, e_range_a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1600, 2300]), array([452., 606.]))"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range_b, e_range_b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": [
       "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
      ],
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "fig, ax = set_up_plot()\n",
    "ax.set_xlabel('Energie [keV]')\n",
    "ax.set_ylabel('Normierte Zaehlrate')\n",
    "\n",
    "ax.step(energies_a, mitte[1]/mitte[1].max(), label='Detektor A')\n",
    "ax.step(energies_b, mitte[2]/mitte[2].max(), label='Detektor B')\n",
    "ax.axvline(e_range_a[0], color='red')\n",
    "ax.axvline(e_range_a[1], color='red',  label='Schranken A')\n",
    "ax.axvline(e_range_b[0], color='green')\n",
    "ax.axvline(e_range_b[1], color='green',  label='Schranken B')\n",
    "ax.legend()\n",
    "ax.set_ylim(0)\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": 11,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": [
       "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
      ],
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib qt5\n",
    "fig, ax = set_up_plot()\n",
    "ax.set_xlabel('Kanal')\n",
    "ax.set_ylabel('Normierte Zaehlrate')\n",
    "\n",
    "ax.step(channels_e, mitte[1]/mitte[1].max(), label='Detektor A')\n",
    "ax.step(channels_e, mitte[2]/mitte[2].max(), label='Detektor B')\n",
    "ax.axvline(range_a[0], color='red')\n",
    "ax.axvline(range_a[1], color='red',  label='Schranken A')\n",
    "ax.axvline(range_b[0], color='green')\n",
    "ax.axvline(range_b[1], color='green',  label='Schranken B')\n",
    "ax.legend()\n",
    "ax.set_ylim(0)\n",
    "save_fig(fig, 'mid_over_channel', 'calibration')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": [
       "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
      ],
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plot_spectrum(mitte[0], label='Ereignisszahl')\n",
    "ax.axvline(range_t[0], color='red')\n",
    "ax.axvline(range_t[1], color='red',  label='Schranken Zeit')\n",
    "ax.legend()\n",
    "save_fig(fig, 'time_range', 'calibration')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": [
       "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
      ],
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "times = channel_to_time(channels_t)[0]\n",
    "fig, ax = set_up_plot() #plot_spectrum(links/links.max(), label='Links')\n",
    "ax.step(times, links/links.max(), label='Links')\n",
    "ax.step(times, mitte[0]/mitte[0].max(), label='Mitte')\n",
    "ax.step(times, rechts/rechts.max(), label='Rechts')\n",
    "ax.legend()\n",
    "ax.set_ylabel('Reslative Ereignisszahl')\n",
    "ax.set_xlim(46, 57)\n",
    "save_fig(fig, 'all_times', 'calibration')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": [
       "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
      ],
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = set_up_plot()\n",
    "p_r, d_p_r = find_and_plot_peak(rechts, ax, 'Rechs', time_interval=[45, 65])\n",
    "p_l, d_p_l = find_and_plot_peak(links, ax, 'Links', time_interval=[40, 60])\n",
    "#p_m, d_p_m = find_and_plot_peak(mitte[0], ax, 'Mitte', time_interval=[40, 60])\n",
    "ax.legend()\n",
    "ax.set_ylabel('Reslative Ereignisszahl')\n",
    "ax.set_xlabel(r'$\\tau$ [ns]')\n",
    "ax.set_xlim(48,55)\n",
    "\n",
    "save_fig(fig, 'lenght_det', 'calibration')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2.0, 0.6)"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scientific_round((p_r - p_l), np.sqrt(d_p_r**2 + d_p_l**2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "l, d_l = (p_r - p_l)/2*1e-6*c, 1/2*np.sqrt(d_p_r**2 + d_p_l**2)*1e-6*c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(310, 90)"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scientific_round(l, d_l)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.28959951442800036"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "((channel_to_time(rechts.argmax())[0] - channel_to_time(links.argmax())[0])*1e-9 * c)/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3185594658707989"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "((channel_to_time(rechts.argmax())[0] - channel_to_time(mitte[0].argmax())[0])*1e-9 * c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2606395629852018"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "((channel_to_time(mitte[0].argmax())[0] - channel_to_time(links.argmax())[0])*1e-9 * c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Koinzidenzaufloesung"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "t, dt = channel_to_time(range_t)  # ns\n",
    "t, dt = t*1e-9, dt*1e-9  # s\n",
    "tau = t[1] - t[0], np.sqrt(np.sum(dt**2))  # s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8.211000000000006, 0.040405893134541654)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tau[0]*1e9, tau[1]*1e9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8.211000000000006e-09, 4.040589313454165e-11)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tau"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "A = (54e-3)**2  # m^2\n",
    "d_max = 386e-3/2  # m\n",
    "date_0 = datetime.datetime(2014, 10, 1)\n",
    "date_1 = datetime.datetime(2020, 1, 10)\n",
    "A0 = SecondaryValue('A*(1/2)**(t/hl)')\\\n",
    "    (A=(1.36e6, 1.36e6*.03), t=((date_1 - date_0).total_seconds(), 86400),\n",
    "     hl=(82.1e6, 31557600*.001))\n",
    "P = .90382, 0.0602\n",
    "T = 10*60 + 47, 2 # s\n",
    "omega = A/(d_max**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(333000, 10000)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scientific_round(*A0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "166492800.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(date_1 - date_0).total_seconds()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.07828398077800745"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "omega"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1.2875574074648669e-09, (647, 2))"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d_max*2/c, T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "333481.7538834827"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A0[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.01"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scientific_round(*A0)[1]/1e6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "166492800.0"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(date_1 - date_0).total_seconds()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "counts = np.sum(mitte[0][range_t[0] - 1:range_t[1] - 1])\n",
    "counts = counts, np.sqrt(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "rate = SecondaryValue('counts/T')(counts=counts, T=T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(422.7496136012365, 1.5365950819791954)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "rand_rate = SecondaryValue('4*tau*A*omega/(2*pi)*counts/T')\\\n",
    "    (tau=tau,\n",
    "     A=A0, omega=omega, counts=counts, T=T, pi=np.pi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "422.7496136012365"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rate[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "969"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range_t[0] - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0577, 0.0018)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scientific_round(*rand_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.0136465 , 0.00041789])"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rand_rate/rate[0] * 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Effektivitaet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "effectivity = SecondaryValue('rate/(A*omega/(2*pi)*P)')(P=P, A=A0, rate=rate, omega=omega, pi=np.pi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11.3, 0.8)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scientific_round((effectivity[0]*100), effectivity[1]*100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10006.075034502068"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A0[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(422.7496136012365, 1.5365950819791954)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": [
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      ],
      "text/plain": [
       "<Figure size 432x360 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "fig, ax = set_up_plot(subplot=211)\n",
    "\n",
    "ax.step(times, mitte[0], label='Mitte')\n",
    "ax.step(times, links, label='Links')\n",
    "ax.step(times, rechts, label='Rechts')\n",
    "ax.set_xlabel('t [ns]')\n",
    "ax.set_ylabel('Ereignisszahl')\n",
    "ax.set_ylim(0)\n",
    "ax.set_xlim(30, 70)\n",
    "ax.legend()\n",
    "ax.set_title('Koinzidenzzeitspektrum')\n",
    "\n",
    "_, axa = set_up_plot(subplot=223, fig=fig, ticks=5)\n",
    "\n",
    "fig.tight_layout()\n",
    "axa.set_xlabel('Energie [keV]')\n",
    "axa.set_ylabel('Ereignisszahl')\n",
    "\n",
    "axa.step(energies_a, mitte[1], label='Mitte')\n",
    "axa.step(energies_a, rechts_e[0], label='Rechts', alpha=.8)\n",
    "axa.step(energies_a, links_e[0], label='Links', alpha=.8)\n",
    "axa.set_title('Energiespektrum A')\n",
    "axa.set_xlim([100,1100])\n",
    "axa.legend()\n",
    "\n",
    "_, axb = set_up_plot(subplot=224, fig=fig, ticks=5)\n",
    "\n",
    "fig.tight_layout()\n",
    "axb.set_xlabel('Energie [keV]')\n",
    "axb.set_ylabel('Ereignisszahl')\n",
    "\n",
    "axb.step(energies_b, mitte[2], label='Mitte')\n",
    "axb.step(energies_b, rechts_e[1], label='Rechts', alpha=.8)\n",
    "axb.step(energies_b, links_e[1], label='Links', alpha=.8)\n",
    "axb.set_xlim([100,800])\n",
    "axb.set_title('Energiespektrum B')\n",
    "axb.legend()\n",
    "\n",
    "save_fig(fig, 'comp', 'calibration', size=(6, 5))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "argv": [
    "/usr/bin/python3",
    "-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
}