2024-02-04 16:56:05 +01:00
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{
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"cells": [
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{
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"cell_type": "code",
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2024-02-13 09:16:19 +01:00
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"execution_count": 1,
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2024-02-04 16:56:05 +01:00
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"metadata": {},
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"outputs": [],
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"source": [
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"import uproot\n",
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"import numpy as np\n",
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"import sys\n",
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"import os\n",
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"import mplhep\n",
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"from mpl_toolkits import mplot3d\n",
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"import itertools\n",
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"import awkward as ak\n",
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"from scipy.optimize import curve_fit\n",
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"from utils.components import unique_name_ext_re\n",
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"mplhep.style.use([\"LHCbTex2\"])\n",
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"plt.rcParams[\"savefig.dpi\"] = 600\n",
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "code",
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2024-02-13 09:16:19 +01:00
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"execution_count": 2,
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2024-02-04 16:56:05 +01:00
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"50501"
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]
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},
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2024-02-13 09:16:19 +01:00
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"execution_count": 2,
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2024-02-04 16:56:05 +01:00
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"file = uproot.open(\n",
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2024-02-13 09:16:19 +01:00
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" \"/work/cetin/LHCb/reco_tuner/data/tracking_losses_ntuple_B_thesis.root:PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
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2024-02-04 16:56:05 +01:00
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")\n",
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"\n",
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"# selektiere nur elektronen von B->K*ee\n",
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"allcolumns = file.arrays()\n",
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"electrons = allcolumns[(allcolumns.isElectron) & (allcolumns.fromB)]\n",
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"\n",
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"ak.num(electrons, axis=0)\n",
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"# ak.count(found, axis=None)"
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]
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},
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{
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"cell_type": "code",
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2024-02-13 09:16:19 +01:00
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"execution_count": 3,
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2024-02-04 16:56:05 +01:00
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"metadata": {},
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2024-02-08 17:43:22 +01:00
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"outputs": [],
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2024-02-04 16:56:05 +01:00
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"source": [
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2024-02-08 17:43:22 +01:00
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"# electrons.type.show()"
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2024-02-04 16:56:05 +01:00
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]
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},
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{
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"cell_type": "code",
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2024-02-13 13:01:49 +01:00
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"execution_count": 4,
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2024-02-04 16:56:05 +01:00
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"metadata": {},
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"outputs": [],
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"source": [
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2024-02-08 17:43:22 +01:00
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"cut_prop: bool = electrons.p_end_velo > 0 # 3e3\n",
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2024-02-16 11:27:21 +01:00
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"found = electrons[~electrons.lost]\n",
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"lost = electrons[electrons.lost]\n",
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2024-02-04 16:56:05 +01:00
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"\n",
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"eloss_found = (found[\"p\"] - found[\"p_end_scifi\"]) / found[\"p\"]\n",
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"eloss_lost = (lost[\"p\"] - lost[\"p_end_scifi\"]) / lost[\"p\"]\n",
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"\n",
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2024-02-05 15:44:27 +01:00
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"eloss = (electrons[\"p\"] - electrons[\"p_end_scifi\"]) / electrons[\"p\"]\n",
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"eloss_magnet_found = ak.to_numpy(\n",
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2024-02-13 09:16:19 +01:00
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" (found[\"p_end_velo\"] - found[\"p_end_scifi\"]) / found[\"p_end_velo\"]\n",
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")\n",
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2024-02-05 15:44:27 +01:00
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"eloss_magnet_lost = ak.to_numpy(\n",
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2024-02-13 09:16:19 +01:00
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" (lost[\"p_end_velo\"] - lost[\"p_end_scifi\"]) / lost[\"p_end_velo\"]\n",
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")"
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2024-02-04 16:56:05 +01:00
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]
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},
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{
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"cell_type": "code",
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2024-02-13 13:01:49 +01:00
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"execution_count": 5,
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2024-02-04 16:56:05 +01:00
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"metadata": {},
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"outputs": [],
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"source": [
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2024-02-08 17:43:22 +01:00
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"eloss_velo_found = (found[\"p\"] - found[\"p_end_velo\"]) / found[\"p\"]\n",
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"eloss_velo_lost = (lost[\"p\"] - lost[\"p_end_velo\"]) / lost[\"p\"]"
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2024-02-04 16:56:05 +01:00
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]
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},
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{
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"cell_type": "code",
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2024-02-13 13:01:49 +01:00
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"execution_count": 6,
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2024-02-04 16:56:05 +01:00
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"metadata": {},
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"outputs": [
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{
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"data": {
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2024-02-16 11:27:21 +01:00
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"image/png": "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2024-02-08 17:43:22 +01:00
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"text/plain": [
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"<Figure size 1200x900 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"nbins = 50\n",
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"plt.hist(\n",
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" ak.to_numpy(eloss_lost),\n",
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" bins=nbins,\n",
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" density=True,\n",
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" alpha=0.5,\n",
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" histtype=\"bar\",\n",
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" color=\"#F05342\",\n",
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" label=\"lost\",\n",
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" range=[0.001, 1],\n",
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")\n",
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"# #2A9D8F another teal color\n",
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"plt.hist(\n",
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" ak.to_numpy(eloss_found),\n",
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" bins=nbins,\n",
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" density=True,\n",
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" alpha=0.5,\n",
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" histtype=\"bar\",\n",
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" color=\"#107E7D\",\n",
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" label=\"found\",\n",
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" range=[0.001, 1],\n",
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")\n",
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"\n",
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"plt.xlabel(r\"$E_\\gamma/E_0$\")\n",
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2024-02-16 11:27:21 +01:00
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"plt.ylabel(\"Number of Tracks (normalised)\")\n",
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"mplhep.lhcb.text(\"Simulation\")\n",
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"plt.legend(loc=\"upper center\")\n",
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2024-02-08 17:43:22 +01:00
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"plt.show()\n",
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"# plt.savefig(\n",
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"# \"/work/cetin/Projektpraktikum/thesis/emitted_energy_beginVelo2endT.pdf\",\n",
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"# format=\"PDF\",\n",
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"# )"
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]
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},
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{
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"cell_type": "code",
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2024-02-13 09:16:19 +01:00
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"execution_count": 7,
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2024-02-08 17:43:22 +01:00
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"metadata": {},
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"outputs": [
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{
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"data": {
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2024-02-16 11:27:21 +01:00
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"image/png": "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
|
2024-02-04 16:56:05 +01:00
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|
|
"text/plain": [
|
|
|
|
|
"<Figure size 1200x900 with 1 Axes>"
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|
|
|
]
|
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|
},
|
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"metadata": {},
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"output_type": "display_data"
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}
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],
|
|
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|
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"source": [
|
|
|
|
|
"nbins = 50\n",
|
|
|
|
|
"plt.hist(\n",
|
2024-02-05 15:44:27 +01:00
|
|
|
" ak.to_numpy(eloss_magnet_lost),\n",
|
2024-02-04 16:56:05 +01:00
|
|
|
" bins=nbins,\n",
|
|
|
|
|
" density=True,\n",
|
|
|
|
|
" alpha=0.5,\n",
|
|
|
|
|
" histtype=\"bar\",\n",
|
|
|
|
|
" color=\"#F05342\",\n",
|
|
|
|
|
" label=\"lost\",\n",
|
|
|
|
|
" range=[0.001, 1],\n",
|
|
|
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|
")\n",
|
|
|
|
|
"# #2A9D8F another teal color\n",
|
|
|
|
|
"plt.hist(\n",
|
2024-02-05 15:44:27 +01:00
|
|
|
" ak.to_numpy(eloss_magnet_found),\n",
|
2024-02-04 16:56:05 +01:00
|
|
|
" bins=nbins,\n",
|
|
|
|
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" density=True,\n",
|
|
|
|
|
" alpha=0.5,\n",
|
|
|
|
|
" histtype=\"bar\",\n",
|
|
|
|
|
" color=\"#107E7D\",\n",
|
|
|
|
|
" label=\"found\",\n",
|
|
|
|
|
" range=[0.001, 1],\n",
|
|
|
|
|
")\n",
|
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|
"\n",
|
2024-02-05 15:44:27 +01:00
|
|
|
"plt.xlabel(r\"$E_\\gamma/E_{VELO}$\")\n",
|
2024-02-16 11:27:21 +01:00
|
|
|
"plt.ylabel(\"Number of Tracks (normalised)\")\n",
|
2024-02-04 16:56:05 +01:00
|
|
|
"# plt.title(r'$B\\rightarrow K^\\ast ee$, $p>5$GeV, photons w/ brem_vtx_z$<9500$mm')\n",
|
2024-02-16 11:27:21 +01:00
|
|
|
"plt.legend(loc=\"best\")\n",
|
|
|
|
|
"mplhep.lhcb.text(\"Simulation\", loc=0)\n",
|
2024-02-05 15:44:27 +01:00
|
|
|
"plt.show()\n",
|
|
|
|
|
"# plt.savefig(\n",
|
2024-02-16 11:27:21 +01:00
|
|
|
"# \"/work/cetin/Projektpraktikum/thesis/emitted_energy_endVelo2endT.pdf\",\n",
|
|
|
|
|
"# format=\"PDF\")"
|
2024-02-08 17:43:22 +01:00
|
|
|
]
|
|
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|
|
},
|
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|
{
|
|
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|
|
"cell_type": "code",
|
2024-02-13 09:16:19 +01:00
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|
"execution_count": 8,
|
2024-02-08 17:43:22 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2024-02-16 11:27:21 +01:00
|
|
|
"image/png": "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
|
2024-02-08 17:43:22 +01:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 1200x900 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"nbins = 50\n",
|
|
|
|
|
"plt.hist(\n",
|
|
|
|
|
" ak.to_numpy(eloss_velo_lost),\n",
|
|
|
|
|
" bins=nbins,\n",
|
|
|
|
|
" density=True,\n",
|
|
|
|
|
" alpha=0.5,\n",
|
|
|
|
|
" histtype=\"bar\",\n",
|
|
|
|
|
" color=\"#F05342\",\n",
|
|
|
|
|
" label=\"lost\",\n",
|
|
|
|
|
" range=[0.001, 1],\n",
|
|
|
|
|
")\n",
|
|
|
|
|
"# #2A9D8F another teal color\n",
|
|
|
|
|
"plt.hist(\n",
|
|
|
|
|
" ak.to_numpy(eloss_velo_found),\n",
|
|
|
|
|
" bins=nbins,\n",
|
|
|
|
|
" density=True,\n",
|
|
|
|
|
" alpha=0.5,\n",
|
|
|
|
|
" histtype=\"bar\",\n",
|
|
|
|
|
" color=\"#107E7D\",\n",
|
|
|
|
|
" label=\"found\",\n",
|
|
|
|
|
" range=[0.001, 1],\n",
|
|
|
|
|
")\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"plt.xlabel(r\"$E_\\gamma/E_0$\")\n",
|
2024-02-16 11:27:21 +01:00
|
|
|
"# plt.ylabel(\"a.u.\")\n",
|
|
|
|
|
"plt.ylabel(\"Number of Tracks (normalised)\")\n",
|
|
|
|
|
"\n",
|
2024-02-08 17:43:22 +01:00
|
|
|
"# plt.title(r'$B\\rightarrow K^\\ast ee$, $p>5$GeV, photons w/ brem_vtx_z$<9500$mm')\n",
|
2024-02-16 11:27:21 +01:00
|
|
|
"plt.legend(loc=\"best\")\n",
|
|
|
|
|
"mplhep.lhcb.text(\"Simulation\", loc=0)\n",
|
2024-02-08 17:43:22 +01:00
|
|
|
"plt.show()\n",
|
|
|
|
|
"# plt.savefig(\n",
|
|
|
|
|
"# \"/work/cetin/Projektpraktikum/thesis/emitted_energy_beginVelo2endVelo.pdf\",\n",
|
|
|
|
|
"# format=\"PDF\",\n",
|
|
|
|
|
"# )"
|
2024-02-04 16:56:05 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2024-02-13 13:01:49 +01:00
|
|
|
"execution_count": 9,
|
2024-02-08 17:43:22 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"### --- ### above should be correct"
|
|
|
|
|
]
|
|
|
|
|
},
|
2024-02-16 11:27:21 +01:00
|
|
|
{
|
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|
"cell_type": "code",
|
|
|
|
|
"execution_count": 12,
|
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"metadata": {},
|
|
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|
"outputs": [
|
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|
|
|
{
|
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|
"data": {
|
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|
"image/png": "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
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 1200x900 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"nbins = 50\n",
|
|
|
|
|
"plt.hist(\n",
|
|
|
|
|
" ak.to_numpy(lost[\"eta\"]),\n",
|
|
|
|
|
" bins=nbins,\n",
|
|
|
|
|
" density=True,\n",
|
|
|
|
|
" alpha=0.5,\n",
|
|
|
|
|
" histtype=\"bar\",\n",
|
|
|
|
|
" color=\"#F05342\",\n",
|
|
|
|
|
" label=\"lost\",\n",
|
|
|
|
|
" range=[2, 5],\n",
|
|
|
|
|
")\n",
|
|
|
|
|
"# #2A9D8F another teal color\n",
|
|
|
|
|
"plt.hist(\n",
|
|
|
|
|
" ak.to_numpy(found[\"eta\"]),\n",
|
|
|
|
|
" bins=nbins,\n",
|
|
|
|
|
" density=True,\n",
|
|
|
|
|
" alpha=0.5,\n",
|
|
|
|
|
" histtype=\"bar\",\n",
|
|
|
|
|
" color=\"#107E7D\",\n",
|
|
|
|
|
" label=\"found\",\n",
|
|
|
|
|
" range=[2, 5],\n",
|
|
|
|
|
")\n",
|
|
|
|
|
"# plt.xlim(2, 5)\n",
|
|
|
|
|
"plt.xlabel(r\"$\\eta$\")\n",
|
|
|
|
|
"plt.ylabel(\"Number of Tracks (normalised)\")\n",
|
|
|
|
|
"plt.legend(loc=\"best\")\n",
|
|
|
|
|
"mplhep.lhcb.text(\"Simulation\", loc=0)\n",
|
|
|
|
|
"# plt.show()\n",
|
|
|
|
|
"plt.savefig(\n",
|
|
|
|
|
" \"/work/cetin/Projektpraktikum/thesis/eta_found_lost.pdf\",\n",
|
|
|
|
|
" format=\"PDF\",\n",
|
|
|
|
|
")"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 11,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": "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
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 1200x900 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"nbins = 50\n",
|
|
|
|
|
"plt.hist(\n",
|
|
|
|
|
" ak.to_numpy(lost[\"phi\"]),\n",
|
|
|
|
|
" bins=nbins,\n",
|
|
|
|
|
" density=True,\n",
|
|
|
|
|
" alpha=0.5,\n",
|
|
|
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" histtype=\"bar\",\n",
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" color=\"#F05342\",\n",
|
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" label=\"lost\",\n",
|
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|
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" range=[-3.142, 3.142],\n",
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")\n",
|
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|
"# #2A9D8F another teal color\n",
|
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|
"plt.hist(\n",
|
|
|
|
|
" ak.to_numpy(found[\"phi\"]),\n",
|
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|
|
" bins=nbins,\n",
|
|
|
|
|
" density=True,\n",
|
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|
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" alpha=0.5,\n",
|
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" histtype=\"bar\",\n",
|
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|
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" color=\"#107E7D\",\n",
|
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" label=\"found\",\n",
|
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|
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" range=[-3.142, 3.142],\n",
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")\n",
|
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|
|
"# plt.xlim(2, 5)\n",
|
|
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|
|
"plt.xlabel(r\"$\\phi$ [rad]\")\n",
|
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|
|
|
"plt.ylabel(\"Number of Tracks (normalised)\")\n",
|
|
|
|
|
"plt.legend(loc=\"best\")\n",
|
|
|
|
|
"mplhep.lhcb.text(\"Simulation\", loc=0)\n",
|
|
|
|
|
"plt.show()\n",
|
|
|
|
|
"# plt.savefig(\n",
|
|
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|
|
"# \"/work/cetin/Projektpraktikum/thesis/phi_found_lost.pdf\",\n",
|
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|
|
"# format=\"PDF\",\n",
|
|
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|
|
"# )"
|
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|
]
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},
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2024-02-08 17:43:22 +01:00
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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2024-02-16 11:27:21 +01:00
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"execution_count": null,
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2024-02-04 16:56:05 +01:00
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"metadata": {},
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"outputs": [],
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2024-02-16 11:27:21 +01:00
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
|
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|
|
"0.24996287312509283"
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|
|
|
]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
|
2024-02-04 16:56:05 +01:00
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"source": [
|
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|
"# magnet kick position\n",
|
2024-02-16 11:27:21 +01:00
|
|
|
"input_tree = uproot.open(\n",
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" {\n",
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|
|
" \"/work/cetin/Projektpraktikum/tracking_losses_ntuple_B_zmag.root\": \"PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
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" }\n",
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|
")\n",
|
2024-02-04 16:56:05 +01:00
|
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"array = input_tree.arrays()\n",
|
2024-02-16 11:27:21 +01:00
|
|
|
"array = array[(array.isElectron) & (array.fromB)]\n",
|
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|
|
"stretch_factor = ak.num(array[array.lost], axis=0) / ak.num(array[~array.lost], axis=0)\n",
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"stretch_factor"
|
2024-02-04 16:56:05 +01:00
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]
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},
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{
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"cell_type": "code",
|
2024-02-16 11:27:21 +01:00
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"execution_count": 15,
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2024-02-04 16:56:05 +01:00
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"metadata": {},
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"outputs": [
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{
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"data": {
|
2024-02-16 11:27:21 +01:00
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"image/png": "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
|
2024-02-04 16:56:05 +01:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 1200x900 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2024-02-13 13:01:49 +01:00
|
|
|
"xmin: float = 5200\n",
|
|
|
|
|
"xmax: float = 5600\n",
|
|
|
|
|
"\n",
|
2024-02-04 16:56:05 +01:00
|
|
|
"fig = plt.figure()\n",
|
2024-02-16 11:27:21 +01:00
|
|
|
"plt.hist(\n",
|
|
|
|
|
" array[array.lost][\"match_zmag\"],\n",
|
|
|
|
|
" bins=80,\n",
|
|
|
|
|
" range=[xmin, xmax],\n",
|
|
|
|
|
" color=\"#F05342\",\n",
|
|
|
|
|
" alpha=0.5,\n",
|
|
|
|
|
" label=\"lost\",\n",
|
|
|
|
|
" density=True,\n",
|
|
|
|
|
")\n",
|
|
|
|
|
"plt.hist(\n",
|
|
|
|
|
" array[~array.lost][\"match_zmag\"],\n",
|
|
|
|
|
" bins=80,\n",
|
|
|
|
|
" range=[xmin, xmax],\n",
|
|
|
|
|
" color=\"#107E7D\",\n",
|
|
|
|
|
" alpha=0.5,\n",
|
|
|
|
|
" label=\"found\",\n",
|
|
|
|
|
" density=True,\n",
|
|
|
|
|
")\n",
|
2024-02-04 16:56:05 +01:00
|
|
|
"plt.xlabel(r\"z$_{Mag}$ [mm]\")\n",
|
|
|
|
|
"plt.ylabel(\"Number of Tracks (normalised)\")\n",
|
2024-02-13 13:01:49 +01:00
|
|
|
"plt.legend(loc=\"best\")\n",
|
2024-02-16 11:27:21 +01:00
|
|
|
"mplhep.lhcb.text(\"Simulation\", loc=0)\n",
|
|
|
|
|
"# plt.show()\n",
|
|
|
|
|
"plt.savefig(\"/work/cetin/Projektpraktikum/thesis/match_zmag_lost_found.pdf\",\n",
|
|
|
|
|
" format=\"PDF\")"
|
2024-02-04 16:56:05 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
2024-02-16 11:27:21 +01:00
|
|
|
"cell_type": "markdown",
|
2024-02-04 16:56:05 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"source": [
|
2024-02-16 11:27:21 +01:00
|
|
|
"brem vtx 2d hists in trackinglosses_energy notebook\n"
|
2024-02-04 16:56:05 +01:00
|
|
|
]
|
|
|
|
|
},
|
2024-02-16 11:27:21 +01:00
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
2024-02-04 16:56:05 +01:00
|
|
|
{
|
|
|
|
|
"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
|
|
|
|
|
}
|
