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{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import uproot\n", "import numpy as np\n", "import sys\n", "import os\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import matplotlib.ticker as tck\n", "from mpl_toolkits import mplot3d\n", "import itertools\n", "import awkward as ak\n", "from scipy.optimize import curve_fit\n", "from mpl_toolkits.axes_grid1 import ImageGrid\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "10522" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "file = uproot.open(\"tracking_losses_ntuple_Bd2KstEE.root:PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\")\n", "\n", "#selektiere nur elektronen von B->K*ee und nur solche mit einem momentum von ueber 5 GeV \n", "allcolumns = file.arrays()\n", "found = allcolumns[(allcolumns.isElectron) & (~allcolumns.lost) & (allcolumns.fromSignal) & (allcolumns.p > 5e3)] #B: 9056\n", "lost = allcolumns[(allcolumns.isElectron) & (allcolumns.lost) & (allcolumns.fromSignal) & (allcolumns.p > 5e3)] #B: 1466\n", "\n", "ak.num(found, axis=0) + ak.num(lost, axis=0)\n", "#ak.count(found, axis=None)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "#plot minimal energy of photon abhängigkeit von eta und phi\n", "#materialpeak (beampipe)\n", "\n", "#looked at minimal photon energy ak.min(...) and sum of photon energies ak.sum(...)\n", "energy_found = ak.to_numpy(ak.min(found[\"brem_photons_pe\"],axis=-1))\n", "energy_lost = ak.to_numpy(ak.min(lost[\"brem_photons_pe\"],axis=-1))\n", "\n", "eta_found = ak.to_numpy(found[\"eta\"])\n", "eta_lost = ak.to_numpy(lost[\"eta\"])\n", "\n", "phi_found = ak.to_numpy(found[\"phi\"])\n", "phi_lost = ak.to_numpy(lost[\"phi\"])\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "<Figure size 1800x600 with 3 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18,6))\n", "\n", "a0=ax[0].hist2d(energy_found, eta_found, bins=200, cmap=plt.cm.jet, cmin=1, range=[[0,3e3],[1,6]], vmax=20)\n", "ax[0].set_xlabel(\"minimal or sum of photon energy [MeV]\")\n", "ax[0].set_ylabel(r\"$\\eta$\")\n", "ax[0].set_title(\"found eta wrt photon energy\")\n", "\n", "a1=ax[1].hist2d(energy_lost, eta_lost, bins=200, cmap=plt.cm.jet, cmin=1, range=[[0,3e3],[1,6]], vmax=20)\n", "ax[1].set_xlabel(\"minimal or sum of photon energy [MeV]\")\n", "ax[1].set_ylabel(r\"$\\eta$\")\n", "ax[1].set_title(\"lost eta wrt photon energy\")\n", "\n", "\"\"\"\n", "lost: perhaps slightly more hits at larger eta but not really significant\n", "\"\"\"\n", "\n", "fig.colorbar(a0[3],ax=ax[1])\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "<Figure size 1800x600 with 3 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18,6))\n", "\n", "a0=ax[0].hist2d(energy_found, phi_found/np.pi, bins=200, cmap=plt.cm.jet, cmin=1, range=[[0,2e3],[-1.1,1.1]],vmax=10)\n", "#ax[0].set_yticks(np.arange(-1,1.1,0.25), minor=True)\n", "ax[0].yaxis.set_major_formatter(tck.FormatStrFormatter('%g $\\pi$'))\n", "ax[0].set_xlabel(\"minimal or sum of photon energy [MeV]\")\n", "ax[0].set_ylabel(r\"$\\phi$\")\n", "ax[0].set_title(r\"found phi $\\angle(x,y)$ wrt photon energy\")\n", "\n", "a1=ax[1].hist2d(energy_lost, phi_lost/np.pi, bins=200, cmap=plt.cm.jet, cmin=1, range=[[0,2e3],[-1.1,1.1]], vmax=10)\n", "#ax[1].set_yticks(np.arange(-1,1.1,0.5), minor=True)\n", "ax[1].yaxis.set_major_formatter(tck.FormatStrFormatter('%g $\\pi$'))\n", "ax[1].set_xlabel(\"minimal or sum of photon energy [MeV]\")\n", "ax[1].set_ylabel(r\"$\\phi$\")\n", "ax[1].set_title(\"lost phi wrt photon energy\")\n", "\n", "\"\"\"\n", "Cannot really make out any patterns that might explain lost and found differences.\n", "See no materialpeak\n", "\"\"\"\n", "\n", "fig.colorbar(a0[3],ax=ax[1])\n", "#plt.style.use(\"ggplot\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "env1", "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}
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