2020-01-11 11:07:56 +01:00
|
|
|
{
|
|
|
|
|
"cells": [
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 153,
|
2020-01-11 11:07:56 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
2020-01-11 18:23:28 +01:00
|
|
|
"from utility import *\n",
|
2020-01-12 15:44:22 +01:00
|
|
|
"from scipy.constants import c\n",
|
|
|
|
|
"import datetime"
|
2020-01-11 11:07:56 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"source": [
|
|
|
|
|
"# Einlesen der Daten"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 12,
|
2020-01-11 11:07:56 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
2020-01-11 18:23:28 +01:00
|
|
|
"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",
|
|
|
|
|
"rechts = load_counts('../messungen/kalib/rechts_b/Cal_2020-01-10_10-04-T.txt')[0:rng_t]\n",
|
|
|
|
|
"links = load_counts('../messungen/kalib/links_a/Cal_2020-01-10_09-45-T.txt')[0:rng_t]"
|
2020-01-11 11:07:56 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 13,
|
2020-01-11 11:07:56 +01:00
|
|
|
"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",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 22,
|
2020-01-11 11:07:56 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
2020-01-12 15:44:22 +01:00
|
|
|
"range_t = np.array([970, 1140])"
|
2020-01-11 18:23:28 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 15,
|
2020-01-11 18:23:28 +01:00
|
|
|
"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",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 16,
|
2020-01-11 18:23:28 +01:00
|
|
|
"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",
|
2020-01-11 11:07:56 +01:00
|
|
|
"fig, ax = set_up_plot()\n",
|
|
|
|
|
"ax.set_xlabel('Energie [keV]')\n",
|
|
|
|
|
"ax.set_ylabel('Normierte Zaehlrate')\n",
|
2020-01-11 18:23:28 +01:00
|
|
|
"\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",
|
2020-01-11 11:07:56 +01:00
|
|
|
"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",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 17,
|
2020-01-11 11:07:56 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2020-01-11 18:23:28 +01:00
|
|
|
"image/png": [
|
|
|
|
|
"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
|
|
|
|
|
],
|
2020-01-11 11:07:56 +01:00
|
|
|
"text/plain": [
|
2020-01-11 18:23:28 +01:00
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
2020-01-11 11:07:56 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
2020-01-11 18:23:28 +01:00
|
|
|
"output_type": "display_data"
|
2020-01-11 11:07:56 +01:00
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"%matplotlib qt5\n",
|
|
|
|
|
"fig, ax = set_up_plot()\n",
|
2020-01-11 18:23:28 +01:00
|
|
|
"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",
|
2020-01-11 11:07:56 +01:00
|
|
|
"save_fig(fig, 'mid_over_channel', 'calibration')"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 18,
|
2020-01-11 11:07:56 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2020-01-11 18:23:28 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": [
|
|
|
|
|
"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
|
|
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
2020-01-11 11:07:56 +01:00
|
|
|
"source": [
|
2020-01-11 18:23:28 +01:00
|
|
|
"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')"
|
2020-01-11 11:07:56 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 19,
|
2020-01-11 11:07:56 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2020-01-11 18:23:28 +01:00
|
|
|
"image/png": [
|
|
|
|
|
"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
|
|
|
|
|
],
|
2020-01-11 11:07:56 +01:00
|
|
|
"text/plain": [
|
2020-01-11 18:23:28 +01:00
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
2020-01-11 11:07:56 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
2020-01-11 18:23:28 +01:00
|
|
|
"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",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 20,
|
2020-01-11 18:23:28 +01:00
|
|
|
"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"
|
2020-01-11 11:07:56 +01:00
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"fig, ax = set_up_plot()\n",
|
2020-01-11 18:23:28 +01:00
|
|
|
"p_r, d_p_r = find_and_plot_peak(rechts, ax, 'Rechs')\n",
|
|
|
|
|
"p_l, d_p_l = find_and_plot_peak(links, ax, 'Links')\n",
|
|
|
|
|
"p_m, d_p_m = find_and_plot_peak(mitte[0], ax, 'Mitte')\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')"
|
2020-01-11 11:07:56 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-11 18:23:28 +01:00
|
|
|
"execution_count": 266,
|
2020-01-11 11:07:56 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
2020-01-11 18:23:28 +01:00
|
|
|
"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": 267,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"(326.08110436268794, 92.36759086635159)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 267,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"l, d_l"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 147,
|
2020-01-11 18:23:28 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
2020-01-12 15:44:22 +01:00
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"0.28959951442799925"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 147,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
2020-01-11 18:23:28 +01:00
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2020-01-12 15:44:22 +01:00
|
|
|
"((channel_to_time(rechts.argmax())[0] - channel_to_time(links.argmax())[0])*1e-9 * c)/2"
|
2020-01-11 18:23:28 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 146,
|
2020-01-11 18:23:28 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-12 15:44:22 +01:00
|
|
|
"0.3185594658707989"
|
2020-01-11 18:23:28 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 146,
|
2020-01-11 18:23:28 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2020-01-12 15:44:22 +01:00
|
|
|
"((channel_to_time(rechts.argmax())[0] - channel_to_time(mitte[0].argmax())[0])*1e-9 * c)"
|
2020-01-11 18:23:28 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 21,
|
2020-01-11 18:23:28 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-12 15:44:22 +01:00
|
|
|
"0.2606395629852018"
|
2020-01-11 18:23:28 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 21,
|
2020-01-11 18:23:28 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2020-01-12 15:44:22 +01:00
|
|
|
"((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"
|
2020-01-11 18:23:28 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 247,
|
|
|
|
|
"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": 248,
|
2020-01-11 18:23:28 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-12 15:44:22 +01:00
|
|
|
"((8.211000000000006e-09, 4.040589313454165e-11), 2.979973322028236e-11)"
|
2020-01-11 18:23:28 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-12 15:44:22 +01:00
|
|
|
"execution_count": 248,
|
2020-01-11 18:23:28 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2020-01-12 15:44:22 +01:00
|
|
|
"tau, d_tau"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 249,
|
|
|
|
|
"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 # m\n",
|
|
|
|
|
"date_0 = datetime.datetime(2014, 1, 10)\n",
|
|
|
|
|
"date_1 = datetime.datetime(2020, 10, 1)\n",
|
|
|
|
|
"A0 = SecondaryValue('A*(1/2)**(-t/hl)')(A=(1.36e6, 1.36e6*3e-2), t=(date_1 - date_0).total_seconds(), hl=82.1e6)\n",
|
|
|
|
|
"P = .90382, 0.0602\n",
|
|
|
|
|
"T = 10*60 + 47, 2 # s\n",
|
|
|
|
|
"omega = A/(d_max**2)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 250,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"212198400.0"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 250,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"(date_1 - date_0).total_seconds()"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 251,
|
|
|
|
|
"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)"
|
2020-01-11 11:07:56 +01:00
|
|
|
]
|
2020-01-12 15:44:22 +01:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 252,
|
|
|
|
|
"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": 253,
|
|
|
|
|
"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": 253,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"rate"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 254,
|
|
|
|
|
"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": 255,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"422.7496136012365"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 255,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"rate[0]"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 256,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"969"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 256,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"range_t[0] - 1"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 257,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"(0.35282827909085285, 0.01080269632280018)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 257,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"rand_rate"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 263,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"(0.35282827909085285, 0.01080269632280018)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 263,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"rand_rate"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"source": [
|
|
|
|
|
"# Effektivitaet"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 268,
|
|
|
|
|
"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": 269,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"(0.018406751465434315, 0.0013462868493623811)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 269,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"effectivity"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 266,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"244744.15933688084"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 266,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"A0[1]"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 267,
|
|
|
|
|
"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": 267,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"rate"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
2020-01-11 11:07:56 +01:00
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"metadata": {
|
|
|
|
|
"kernelspec": {
|
|
|
|
|
"argv": [
|
2020-01-11 18:23:28 +01:00
|
|
|
"/usr/bin/python3",
|
2020-01-11 11:07:56 +01:00
|
|
|
"-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
|
|
|
|
|
}
|
