2019-12-14 11:43:02 +01:00
|
|
|
{
|
|
|
|
|
"cells": [
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 172,
|
2019-12-14 11:43:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"import numpy as np\n",
|
|
|
|
|
"import matplotlib.pyplot as plt\n",
|
2019-12-14 21:17:02 +01:00
|
|
|
"import pandas as pd\n",
|
2019-12-21 21:13:24 +01:00
|
|
|
"import util\n",
|
|
|
|
|
"from importlib import reload\n",
|
|
|
|
|
"reload(util)\n",
|
2019-12-15 17:36:13 +01:00
|
|
|
"from util import *\n",
|
2019-12-14 21:17:02 +01:00
|
|
|
"from scipy.stats import binned_statistic"
|
2019-12-14 11:43:02 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"source": [
|
|
|
|
|
"# Kennlinien PM3"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 173,
|
2019-12-14 11:43:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"131.75230566534913"
|
|
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 173,
|
2019-12-14 11:43:02 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"eta = .03\n",
|
|
|
|
|
"rt = 506/60\n",
|
|
|
|
|
"T = 1/eta**2*1/rt\n",
|
|
|
|
|
"T"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 174,
|
2019-12-14 11:43:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2019-12-14 21:17:02 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"0.029514066805047763"
|
|
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 174,
|
2019-12-14 21:17:02 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
2019-12-14 11:43:02 +01:00
|
|
|
"source": [
|
|
|
|
|
"N=1148\n",
|
|
|
|
|
"c=N/T\n",
|
|
|
|
|
"dc=np.sqrt(N)/T\n",
|
|
|
|
|
"dc/c"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"source": [
|
|
|
|
|
"## Plot"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 175,
|
2019-12-14 11:43:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2019-12-21 18:28:41 +01:00
|
|
|
"image/png": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"iVBORw0KGgoAAAANSUhEUgAAAWAAAAEYCAYAAABiECzgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOydd3hUxfrHP5PdTe+BUCWAtASJdEG9gr1ivYrlqti4/NTrFRWxgL0A6r12ARsqit5rAxG9NlBQREMJJbRAgNAkvWez2X1/fyRZN5CQrdndZD7Ps09mz5kz7/vOYYad75kzo0QEjUaj0bQ+If52QKPRaNorugPWaDQaP6E7YI1Go/ETugPWaDQaP6E7YI1Go/ETugPWaDQaP9HmO2Cl1MS2aEvbC15bbd1eW47N6/ZEpE1/gIz6v+McjjmddjFvRivYcDx2VHs+iPkIe76K091750HMTt87X9Wlj+tVtwMf3DtPP23+F7AD49xMu3qdr200Zcsb5TpzXVP2grku3bXnq7r0tg1P69Jdf9y1F4ztwCNUfY/eZomMjJS0tDQKCwtJTEwEcCntSt79+/fTtWtXn9pwPNaSPW/H3JQ9X8XpaM+XNty5d76qS1/Wqzt16a4/ztTlwYMHMZlMJCUlBV07WL16dbmIxOANvPVTOlA/qampIiKSl5cnDbiSdiVvRkaGz204HmvJnrdjbsqer+J0tOdLG+7cO1/VpbdteFqX7vrjTF3++uuvkpWV5bYNf7YDvChBGL3SiwcgSqlxwLhu3bqRn59PSUmJ/ZwraVfyms1m8vPzfWrD8VhL9rwdc1P2fBWnoz1f2nDn3vmqLr1tw9O6dNcfZ+qyQ4cOxMXFNfIpWNoBEKeUmgt8ISJf4AFttgOur5gv0tLSbunQoQNQd9MbcCXtbN7du3f73IbjX2fsedOf5uz5Kk5He76y0ZB29d75qi69aaM5e4HQDqqqqoiMjCQyMtLjmFu7HQAlIuKVmRDt6SGcRqMJEL7++mv+85//+NsNv9NmH8I5SBC3rFu3jpKSEuLi4gAoKirCZrNhsViw2WyEhNT9P9RUuqXzjuna2lqMRqNTed214XisJXuulOvMdU3Z81WcjvZ8acOde6eUokOHDhgMhkb/rppKN3d+27Zt9OvXz+Xr3M3bYM+Vct31p6XYADZt2kRkZCS9evXyOGZv1qUz13Xs2DEbWIoXJAi/PyTz9aeph3BbtmyRvLw8sdlsUlNTYz/eVLql847p8vJyp/O6a8PxWEv2XCnXmeuasuerOB3t+dKGq/fOZrPJwYMHZefOnSKiH8K1x4fR6HnAnmGxWEhKSkIp5W9XNEGGUoqEhASqq6v97UpQU1FRQXl5ub/d8Dtt9iHc0WZB2Gw2amtrAbBarfbjTaVbOu+YFhEsFovL17mbtyV7rpTrzHVN2fNVnI72fGnDnXtns9mwWq1OzSrQsyCazrtkyRKMRiOXXHKJngXRFpGjzIJomATeQEtpZ/PW1NS4VK47Nhz/OmPPm/40Z89XcTra85WNhrSr985gMDj9hF3PgjgyPXLkSOLi4o4ou73NgmizHXCgc+DAAWbNmkViYiI1NTVkZ2fTs2dPHnvssVbzoaysjDvuuAMRYd68eY3Ovf/++9x+++0cOnQIgHnz5nHmmWcSFRXldPnLly/n9ddfp2fPnpSWlrJt2zYWLVpkf9ilab+kpKQ06tyChfFzVnq1vDbbElqSIByHm/Pnzyc9PZ2BAwditVpZsGAB6enppKenU11dzfz58xk6dCj9+/enurqajz/+mKFDh5KWlkZlZSWffPIJo0aNokePHhQVFREdHX3UYazZbGbcuHEsWLCAnj17YrVasVqtXHvtta0qQYSHh3PVVVcxf/78RkN9q9XKFVdcwYMPPmg/9vbbbzNixAiSk5OdtnHnnXcyd+5cBg4ciMFg4Pbbb8dsNiMiQS1BNNwvLUG4L0Hs37+fsrIyYmJigkqCqP83oiWIlnBFglBKYTAYMBgM9mlGISEhmEwmLBZLo/MN+RvOm0wm+3mllP0YND+M/fLLL+nVqxc9e/a0Hw8PD+fTTz/FYrFgMpl46KGHMJvNhIaGEhMTw+TJk3niiSd45513eOuttzjhhBPo168fOTk5rF69msmTJ/PSSy+xevVqNmzYQJcuXcjJyWHu3LkYjUY2bdrEv/71LwYNGkRWVhbTp0+nd+/ehISEUFBQwMMPP8zKlSu5+uqrmTBhQqOh9tKlS9m9ezevvvoqgwYNYtKkScyZM4fs7GwSEhIoLy9n1qxZR8TZpUsXXnrpJaZOnUpqaiovv/wyJpOJRYsWcccdd3DVVVcRHh7Ob7/9xuOPP87QoUOZM2cOW7ZsoVOnTuzYsYM33niD0tJSrrvuOgwGAwMHDuT333+3+zl//nzuv/9+7rjjDnbv3k1WVhZffvkllZWVTJw4kaFDh/LII48wbdo0Vq1axbJly3jnnXeYNm0akydPJjs7m61bt/LRRx8RHR3NmjVrmD59OiNHjqS6upoFCxbw4osvcuGFFzaKT0sQnkkQn332GSaTiQkTJngcc2tKEPX332sShN+nifn609Q0tA0bNtjT/piGNmvWLLn99tvtx7dv3y5PP/20XHDBBbJt2zb5+uuv5cwzz7SfHzNmjPz2229itVqld+/eUlZWJh988IEMGjRIFi5cKAUFBfLwww+LiMiiRYukurpaRERuu+02Wbx4sYiInHDCCfLzzz+LiMi3334rF198sT194okniojI/v375bjjjrPbTUlJaeTDpk2bREQkKytL+vfvb5/Gd/3118vnn39+RJwFBQVyzz33SM+ePaVfv37y3HPP2c+fcsop8u2334qIyIoVK2T48OEiIvLpp5+K1WoVEZFJkybJ4sWLpaamRpYuXSqjRo2SmpoaOXToUCM/x4wZY49z0qRJ8vHHH4uIyBtvvGGvl23btsmYMWPsvo0ZM0a+/vprqampkVtvvVXmz58vIiLDhw+XFStW2OvmlFNOOeI+1tTUHLGOQXNpPQ2t6bxr1qyRHTt2uG3DX9PQrpj9i14LwhlckSAaaK1ZECkpKaxcudJ+vHv37tx9993Mnj2b0tJS1q5dS0VFBTNmzCAkJIRu3bpx6NAhrFYrZ599Np999hnr1q1j+vTpLFiwgP3793PhhRdisVgIDQ1l6tSpdOzYkaysLIYMGYLFYmHDhg189dVXLF26lMrKSiIjI+0vovTu3RuLxUJCQgJlZWXNxtYQ37p16wgJCeGpp57CZrNhMBgoLCw84rqYmBieeuopHn/8cdatW8cVV1xB7969Of/88xERjjnmGCwWCz179mTTpk1YLBbCw8O55557SEpKYsuWLQwfPhyr1UptbS19+vTBarUSHx/fyE8R4dhjj7VPLywuLrbHZrVa7ekG/61WKyJCr169sFqtJCYmUlZWhsViYdOmTfTq1QuLxcIxxxzT7MwPLUE0n3ZGgoiNjSU2Njbo1oIoKq/GEJ3YM2glCKVUZ+AJ4HgRGVF/LBGYAewE+gIPiMgfTVy7C9hV/3WfiFzTnB0J4FkQF110EbNmzSI3N5e+ffvazze8aTV06FB+++037rvvPkwmEz/88AMpKSmYTCbGjx/PI488whlnnMGZZ57JPffcQ1xcHDfddBMmk4krr7ySjIwMjj32WEpLSzEYDJhMJtLT07n88stJT0+nvLycxYsXYzKZCAkJsedpwPF7Q7rhwdmWLVtIT08nIiKCBx980N65m0ymI8o577zz+OabbwAYNWoUgwYNwmaz2WWb3Nxc+vfvz86dO0lLS8NkMnH11VeTmZlJjx49KC4utks/RqPRnj7ctwYJ6PB0bGwsFRUVmEwm9u3bZ5eIoE5GCg0NtZfZcC4tLY2dO3fStWtXcnNzG13jeB+1BOGZBFFSUoLBYCAhIcHjmH0tQdhswsYD5bySsZdteZUYohKTassKgnYWxMnAQmCww7GngO9E5D/1v1yfBa5t4tp5IvKI7130LWFhYXzxxRc8/fTTJCUlUVNTQ05ODtdffz29evViyJAh/Pbbbzz44IOEhYVRXV3
|
2019-12-21 18:28:41 +01:00
|
|
|
],
|
2019-12-14 11:43:02 +01:00
|
|
|
"text/plain": [
|
2019-12-14 21:17:02 +01:00
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
2019-12-14 11:43:02 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
2019-12-14 21:17:02 +01:00
|
|
|
"output_type": "display_data"
|
2019-12-14 11:43:02 +01:00
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2019-12-14 21:17:02 +01:00
|
|
|
"%matplotlib inline\n",
|
2019-12-16 00:35:31 +01:00
|
|
|
"\n",
|
|
|
|
|
"T = 140\n",
|
2019-12-14 21:17:02 +01:00
|
|
|
"fig, ax = set_up_plot()\n",
|
2019-12-16 00:35:31 +01:00
|
|
|
"calib = pd.read_excel('../messungen/vorversuch_kennlinnien.xlsx',\n",
|
|
|
|
|
" sheet_name='Kennl')\n",
|
|
|
|
|
"ax.set_xlabel('Spannung $U_{3,HV}$ [V]')\n",
|
2020-01-03 17:22:18 +01:00
|
|
|
"ax.set_ylabel('Zaehlrate 123 [$s^{-1}$]')\n",
|
2019-12-16 00:35:31 +01:00
|
|
|
"ax.errorbar(calib['U/V'], calib[\"N123\"]/T, yerr=np.sqrt(calib[\"N123\"])/T,\n",
|
|
|
|
|
" marker='.', label='Koinzidenzrate 123')\n",
|
2019-12-14 21:17:02 +01:00
|
|
|
"ax.axvline(2300, linestyle='dotted', color='gray', label='Gewaehlte Spannung')\n",
|
|
|
|
|
"ax.legend()\n",
|
|
|
|
|
"ax.set_xlim([calib['U/V'].min(), calib['U/V'].max()])\n",
|
2019-12-21 18:28:41 +01:00
|
|
|
"ax.set_ylim(0)\n",
|
2019-12-16 00:35:31 +01:00
|
|
|
"save_fig(fig, 'kennlinie_123', 'vorversuch')\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 176,
|
2019-12-16 00:35:31 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2019-12-21 18:28:41 +01:00
|
|
|
"image/png": [
|
2019-12-21 21:13:24 +01:00
|
|
|
"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
|
2019-12-21 18:28:41 +01:00
|
|
|
],
|
2019-12-16 00:35:31 +01:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"fig, ax = set_up_plot()\n",
|
|
|
|
|
"calib = pd.read_excel('../messungen/vorversuch_kennlinnien.xlsx',\n",
|
|
|
|
|
" sheet_name='Kennl')\n",
|
|
|
|
|
"ax.set_xlabel('Spannung $U_{3,HV}$ [V]')\n",
|
|
|
|
|
"ax.set_ylabel('Zaehlrate PM3 [$s^{-1}$]')\n",
|
|
|
|
|
"ax.errorbar(calib['U/V'], calib[\"N3\"]/T, yerr=np.sqrt(calib[\"N3\"])/T,\n",
|
|
|
|
|
" marker='.', label='Kennlinie PM3')\n",
|
|
|
|
|
"ax.legend()\n",
|
|
|
|
|
"ax.set_xlim([calib['U/V'].min(), calib['U/V'].max()])\n",
|
2019-12-21 18:28:41 +01:00
|
|
|
"ax.set_ylim(0)\n",
|
2019-12-14 21:17:02 +01:00
|
|
|
"save_fig(fig, 'kennlinie_pm3', 'vorversuch')"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"source": [
|
|
|
|
|
"# Peakhoehen der Photomultiplier"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 176,
|
2019-12-16 23:04:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 177,
|
2019-12-14 21:17:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"peaks = pd.read_excel('../messungen/vorversuch_kennlinnien.xlsx')\n",
|
|
|
|
|
"peak_labels = ['P1', 'P2', 'P3']\n",
|
2019-12-16 23:04:02 +01:00
|
|
|
"bin_offsets = [8, 15, 40]\n",
|
|
|
|
|
"scale_factors = [100, 10, 1]"
|
2019-12-14 21:17:02 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 178,
|
2019-12-14 21:17:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2019-12-16 23:04:02 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
2019-12-21 18:28:41 +01:00
|
|
|
"P1 & 0.20 & 3.00 & 0.72 & 0.60 & 1.31 \\\\\n",
|
|
|
|
|
"P2 & 0.20 & 11.40 & 4.44 & 3.60 & 1.89 \\\\\n",
|
|
|
|
|
"P3 & 3.60 & 51.20 & 9.30 & 7.00 & 1.06 \\\\\n"
|
2019-12-16 23:04:02 +01:00
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
2019-12-14 21:17:02 +01:00
|
|
|
"source": [
|
2019-12-16 23:04:02 +01:00
|
|
|
"for peak in peak_labels: # nice and dirty :{}\n",
|
|
|
|
|
" cur = peaks[peak]\n",
|
2019-12-21 18:28:41 +01:00
|
|
|
" print(f\"{peak} & {cur.min():.2f} & {cur.max():.2f} & {cur.mean():.2f} & {cur.median():.2f} & {cur.mean()/cur.std():.2f} \\\\\\\\\")\n",
|
2019-12-14 21:17:02 +01:00
|
|
|
"peaks['dP1'] = calculate_peak_uncertainty(peaks[\"P1\"])\n",
|
|
|
|
|
"peaks['dP2'] = calculate_peak_uncertainty(peaks[\"P2\"])\n",
|
|
|
|
|
"peaks['dP3'] = calculate_peak_uncertainty(peaks[\"P3\"])\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 179,
|
2019-12-14 21:17:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2019-12-15 17:36:13 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": [
|
2019-12-21 21:13:24 +01:00
|
|
|
"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
|
2019-12-15 17:36:13 +01:00
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": [
|
2019-12-21 21:13:24 +01:00
|
|
|
"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
|
2019-12-15 17:36:13 +01:00
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": [
|
2019-12-21 21:13:24 +01:00
|
|
|
"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
|
2019-12-15 17:36:13 +01:00
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
2019-12-14 21:17:02 +01:00
|
|
|
"source": [
|
|
|
|
|
"for index, peak in enumerate(peak_labels):\n",
|
2019-12-16 23:04:02 +01:00
|
|
|
" plot_hist(peaks[peak], calculate_bins(peaks[peak]) + bin_offsets[index],\n",
|
|
|
|
|
" scale_factors[index],\n",
|
|
|
|
|
" save=(f'muon_{peak}_spec', 'vorversuch'))"
|
2019-12-14 21:17:02 +01:00
|
|
|
]
|
|
|
|
|
},
|
2019-12-21 21:13:24 +01:00
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"source": [
|
|
|
|
|
"# Statistische Auswertung der Langzeitmessung"
|
|
|
|
|
]
|
|
|
|
|
},
|
2019-12-14 21:17:02 +01:00
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 180,
|
2019-12-14 21:17:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2019-12-21 21:13:24 +01:00
|
|
|
"outputs": [],
|
2019-12-16 23:04:02 +01:00
|
|
|
"source": [
|
2019-12-21 21:13:24 +01:00
|
|
|
"counts = load_counts('../messungen/LM_2019_12_20.txt')\n",
|
2019-12-22 19:24:15 +01:00
|
|
|
"interval = (22, 150)"
|
2019-12-16 23:04:02 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 181,
|
2019-12-22 19:24:15 +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": [
|
|
|
|
|
"fig, ax = plot_spectrum(counts)\n",
|
|
|
|
|
"ax.axvline(interval[0], color='grey', linestyle='--')\n",
|
|
|
|
|
"ax.axvline(interval[1], color='grey', linestyle='--')\n",
|
|
|
|
|
"save_fig(fig, 'spectrum_overview', 'haupt')"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 182,
|
2019-12-22 19:24:15 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": [
|
2019-12-24 17:58:23 +01:00
|
|
|
"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
|
2019-12-22 19:24:15 +01:00
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"fig, ax = plot_spectrum(counts[interval[0]:interval[1]], offset=25, errorevery=5, zorder=-100)\n",
|
|
|
|
|
"save_fig(fig, 'spectrum_detail', 'haupt')\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 183,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"52791"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 183,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"len(counts[interval[0]:interval[1]])\n",
|
|
|
|
|
"counts.sum()"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 184,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"41.666666666666664"
|
2019-12-24 17:58:23 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 184,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"chan_to_time(1, center=False)"
|
2019-12-24 17:58:23 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 185,
|
2019-12-22 19:24:15 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"tau, d_tau, N, T, taus, correction = continous(counts, interval)"
|
2019-12-22 19:24:15 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 186,
|
2019-12-16 23:04:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
2019-12-21 21:13:24 +01:00
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"(15565,\n 2215.858394798602,\n 47.44264196328607,\n 5333.333333333334,\n 2.7056782698244173)"
|
2019-12-21 21:13:24 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 186,
|
2019-12-21 21:13:24 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
2019-12-16 23:04:02 +01:00
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"N, tau, d_tau, T, correction"
|
2019-12-22 19:24:15 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 187,
|
2019-12-22 19:24:15 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"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
|
2019-12-22 19:24:15 +01:00
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"fig, ax = set_up_plot()\n",
|
|
|
|
|
"ax.plot(taus, linestyle='None', marker='x', label='Iterationswert')\n",
|
|
|
|
|
"ax.set_xlabel('Iteration')\n",
|
|
|
|
|
"ax.axhline(tau, color='gray', linestyle='--', label='Letzter Iterationswert')\n",
|
|
|
|
|
"ax.set_ylabel(r'$\\tau$ [ns]')\n",
|
|
|
|
|
"ax.legend()\n",
|
|
|
|
|
"#ax.set_xlim(0)\n",
|
|
|
|
|
"#ax.set_ylim(0)\n",
|
|
|
|
|
"save_fig(fig, 'continous', 'haupt')"
|
2019-12-16 23:04:02 +01:00
|
|
|
]
|
2019-12-14 21:17:02 +01:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 188,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"(1.1588507098277857e-05, 1.2405788078581655e-07)"
|
2019-12-24 17:58:23 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 188,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"weak_constant(tau=(tau, d_tau))"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 189,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"(105.6583745, 'MeV', 2.4e-06)"
|
|
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 189,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"constants.physical_constants['muon mass energy equivalent in MeV']"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 190,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"916.6666666666666"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 190,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"chan_to_time(22)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 191,
|
2019-12-14 21:17:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2019-12-21 18:28:41 +01:00
|
|
|
"outputs": [],
|
2019-12-14 21:17:02 +01:00
|
|
|
"source": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"poisson, gauss, exp, N, N_0 = binned_likelihood(counts, interval)"
|
2019-12-14 11:43:02 +01:00
|
|
|
]
|
2019-12-16 23:04:02 +01:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 194,
|
2019-12-16 23:04:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2019-12-21 21:13:24 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"((<Figure size 360x288 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f8f99721e50>),\n 2215.8597355099128,\n (28.865576102124123, 29.573147134458395),\n -156017.98604455253,\n (1.1588503592450155e-05, 7.733082476479676e-08))"
|
2019-12-21 21:13:24 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 194,
|
2019-12-21 21:13:24 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": [
|
2019-12-24 17:58:23 +01:00
|
|
|
"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
|
2019-12-21 21:13:24 +01:00
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"maximize_and_plot_likelihood(poisson, (1000, 3000), save=('poisson', 'haupt'))"
|
|
|
|
|
]
|
2019-12-16 23:04:02 +01:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 195,
|
2019-12-16 23:04:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2019-12-21 21:13:24 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"((<Figure size 360x288 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f8f9a81c4f0>),\n 2215.8597355718744,\n (28.86557616398568, 29.573147072302618),\n 260578.66403135064,\n (1.1588503592288131e-05, 7.733082459902203e-08))"
|
2019-12-21 21:13:24 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 195,
|
2019-12-21 21:13:24 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"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
|
2019-12-21 21:13:24 +01:00
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"maximize_and_plot_likelihood(exp, (1000, 3000), save=('exp', 'haupt'))"
|
2019-12-24 17:58:23 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 196,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"((<Figure size 360x288 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f8f9a5f7bb0>),\n 2220.8202879077535,\n (27.77746601227318, 28.497619166224922),\n 242.6365765998969,\n (1.1575553981857487e-05, 7.42688930802203e-08))"
|
2019-12-24 17:58:23 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 196,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
2020-01-03 17:22:18 +01:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": [
|
|
|
|
|
"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
|
|
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 360x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
2019-12-24 17:58:23 +01:00
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"maximize_and_plot_likelihood(gauss, (1000, 3000), save=('gauss', 'haupt'))"
|
2019-12-24 17:58:23 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 197,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"array([2.82678971])"
|
2019-12-24 17:58:23 +01:00
|
|
|
]
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 197,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"exp(2216+50)-exp(2216)"
|
2019-12-21 21:13:24 +01:00
|
|
|
]
|
2019-12-16 23:04:02 +01:00
|
|
|
},
|
2019-12-24 17:58:23 +01:00
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 198,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"41.666666666666664"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 198,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"1000/24"
|
|
|
|
|
]
|
2019-12-24 17:58:23 +01:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 199,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"array([0.00149841])"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 199,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"exp(2216 + 1) - exp(2216)"
|
|
|
|
|
]
|
2019-12-24 17:58:23 +01:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 200,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<function util.binned_likelihood.<locals>.ln_poisson_likelihood(tau)>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 200,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"poisson"
|
|
|
|
|
]
|
2019-12-24 17:58:23 +01:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 201,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
2020-01-03 17:22:18 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<function util.binned_likelihood.<locals>.ln_exp_likelihood(tau)>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 201,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"exp"
|
|
|
|
|
]
|
2019-12-24 17:58:23 +01:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 201,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 201,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 201,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 201,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 201,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 201,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 201,
|
2019-12-24 17:58:23 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
2019-12-16 23:04:02 +01:00
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2020-01-03 17:22:18 +01:00
|
|
|
"execution_count": 201,
|
2019-12-16 23:04:02 +01:00
|
|
|
"metadata": {
|
|
|
|
|
"autoscroll": false,
|
|
|
|
|
"collapsed": false,
|
|
|
|
|
"ein.hycell": false,
|
|
|
|
|
"ein.tags": "worksheet-0",
|
|
|
|
|
"slideshow": {
|
|
|
|
|
"slide_type": "-"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
2019-12-14 11:43:02 +01:00
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"metadata": {
|
|
|
|
|
"kernelspec": {
|
|
|
|
|
"argv": [
|
2020-01-03 17:22:18 +01:00
|
|
|
"/usr/bin/python3",
|
2019-12-14 11:43:02 +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
|
|
|
|
|
}
|
