201 lines
100 KiB
Plaintext
201 lines
100 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import uproot\t\n",
|
|
"import numpy as np\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"from mpl_toolkits import mplot3d\n",
|
|
"import awkward as ak\n",
|
|
"from scipy.optimize import curve_fit\n",
|
|
"from methods.fit_linear_regression_model import fit_linear_regression_model\n",
|
|
"import sklearn\n",
|
|
"%matplotlib inline"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"41978 8523\n",
|
|
"92337\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"file = uproot.open(\n",
|
|
" \"tracking_losses_ntuple_B_EndVeloP.root:PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
|
|
")\n",
|
|
"\n",
|
|
"# selektiere nur elektronen von B->K*ee\n",
|
|
"allcolumns = file.arrays()\n",
|
|
"found = allcolumns[\n",
|
|
" (allcolumns.isElectron) & (~allcolumns.lost) & (allcolumns.fromB)\n",
|
|
"] # B: 9056\n",
|
|
"lost = allcolumns[\n",
|
|
" (allcolumns.isElectron) & (allcolumns.lost) & (allcolumns.fromB)\n",
|
|
"] # B: 1466\n",
|
|
"\n",
|
|
"notelectrons = allcolumns[\n",
|
|
" (~allcolumns.isElectron) & (allcolumns.fromB) & (~allcolumns.lost)\n",
|
|
"]\n",
|
|
"\n",
|
|
"print(ak.num(found, axis=0), ak.num(lost, axis=0))\n",
|
|
"print(ak.num(notelectrons, axis=0))\n",
|
|
"# ak.count(found, axis=None)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"rad_length_found = ak.to_numpy(found[\"rad_length_frac\"])\n",
|
|
"eta_found = ak.to_numpy(found[\"eta\"])\n",
|
|
"rad_length_lost = ak.to_numpy(lost[\"rad_length_frac\"])\n",
|
|
"eta_lost = ak.to_numpy(lost[\"eta\"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 2000x800 with 3 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"endVeloP_found = ak.to_numpy(found[\"ideal_state_770_p\"])\n",
|
|
"trueP_found = ak.to_numpy(found[\"p\"])\n",
|
|
"\n",
|
|
"endVeloP_lost = ak.to_numpy(lost[\"ideal_state_770_p\"])\n",
|
|
"trueP_lost = ak.to_numpy(lost[\"p\"])\n",
|
|
"\n",
|
|
"endVeloP_notelectrons = ak.to_numpy(notelectrons[\"ideal_state_770_p\"])\n",
|
|
"trueP_notelectrons = ak.to_numpy(notelectrons[\"p\"])\n",
|
|
"\n",
|
|
"stretch_factor = ak.num(trueP_lost, axis=0) / ak.num(trueP_found, axis=0)\n",
|
|
"\n",
|
|
"nbins = 100\n",
|
|
"vmax = 100\n",
|
|
"\n",
|
|
"fig, ((ax0, ax1)) = plt.subplots(nrows=1, ncols=2, figsize=(20, 8))\n",
|
|
"\n",
|
|
"a0 = ax0.hist2d(\n",
|
|
" trueP_found,\n",
|
|
" endVeloP_found,\n",
|
|
" density=False,\n",
|
|
" bins=nbins,\n",
|
|
" cmap=plt.cm.jet,\n",
|
|
" cmin=1,\n",
|
|
" vmax=vmax,\n",
|
|
" range=[[0, 30000], [0, 30000]],\n",
|
|
")\n",
|
|
"ax0.set_xlabel(f\"True $P$\")\n",
|
|
"ax0.set_ylabel(f\"EndVelo $P$\")\n",
|
|
"ax0.set_title(f\"found P\")\n",
|
|
"\n",
|
|
"a1 = ax1.hist2d(\n",
|
|
" # trueP_notelectrons,\n",
|
|
" # endVeloP_notelectrons,\n",
|
|
" trueP_lost,\n",
|
|
" endVeloP_lost,\n",
|
|
" density=False,\n",
|
|
" bins=nbins,\n",
|
|
" cmap=plt.cm.jet,\n",
|
|
" cmin=1,\n",
|
|
" vmax=vmax * stretch_factor,\n",
|
|
" range=[[0, 30000], [0, 30000]],\n",
|
|
")\n",
|
|
"ax1.set_xlabel(f\"True $P$\")\n",
|
|
"ax1.set_ylabel(f\"EndVelo $P$\")\n",
|
|
"ax1.set_title(f\"lost P\")\n",
|
|
"\n",
|
|
"plt.suptitle(\"Momentum at Creation and EndVelo\")\n",
|
|
"plt.colorbar(a0[3], ax=ax1)\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"a0 = plt.hist2d(\n",
|
|
" trueP_found,\n",
|
|
" endVeloP_found,\n",
|
|
" density=False,\n",
|
|
" bins=nbins,\n",
|
|
" cmap=plt.cm.jet,\n",
|
|
" cmin=1,\n",
|
|
" vmax=vmax,\n",
|
|
" range=[[0, 30000], [0, 30000]],\n",
|
|
")\n",
|
|
"plt.xlabel(f\"True $P$\")\n",
|
|
"plt.ylabel(f\"EndVelo $P$\")\n",
|
|
"plt.title(f\"found P\")\n",
|
|
"plt.colorbar(a0[3])\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "tuner",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.10.12"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|