Warning, /tutorials/JupyterLab/example_tpc_testbeam2019_python.ipynb is written in an unsupported language. File is not indexed.
0001 {
0002 "cells": [
0003 {
0004 "cell_type": "markdown",
0005 "metadata": {},
0006 "source": [
0007 "# Introduction\n",
0008 "\n",
0009 "This is an example [sPHENIX](https://github.com/sPHENIX-Collaboration/) [ROOT Jupyter Notebook](https://root.cern.ch/notebooks/HowTos/HowTo_ROOT-Notebooks.html) to run the sPHENIX anaysis on the [BNL SDCC Jupyter Lab](https://jupyter.sdcc.bnl.gov/). Please use lauch the HTC Jupyter hub for this tutorial: \n",
0010 "\n",
0011 "\n",
0012 "\n",
0013 "Jupyter Notebook provide an analysis interface that can integrate documentation, code and output plot in a single file. It supports all sPHENIX environment. It is suitable for final analysis step, while large scale analysis and reconstruction should go through the compiled `c++` analysis module. \n",
0014 "\n",
0015 "Here is also a `pyROOT` macro perform similar task if you would like to use `python` for analysis. In the same folder there is an example notebook to run the analysis in ROOT C++ macros\n"
0016 ]
0017 },
0018 {
0019 "cell_type": "code",
0020 "execution_count": 1,
0021 "metadata": {},
0022 "outputs": [
0023 {
0024 "name": "stdout",
0025 "output_type": "stream",
0026 "text": [
0027 "Welcome to JupyROOT 6.16/00\n"
0028 ]
0029 }
0030 ],
0031 "source": [
0032 "# Setup the imports\n",
0033 "import ROOT\n",
0034 "from ROOT import TCanvas, TH3F, TH1F"
0035 ]
0036 },
0037 {
0038 "cell_type": "markdown",
0039 "metadata": {},
0040 "source": [
0041 "# Input\n",
0042 "\n",
0043 "The example input file is 2019 TPC test beam ROOT file from the production with [sPHENIX Fun4All framework](https://github.com/sPHENIX-Collaboration/prototype/blob/master/macros/tpc2019/Fun4All_TestBeam_TPC.C). More on the full test beam documentation is at [this wiki page](https://wiki.bnl.gov/sPHENIX/index.php/2019_TPC_FNAL_test_beam) and analysis overview is in the [Offline analysis overview slides on TPC general meeting July 3, 2019](https://indico.bnl.gov/event/6253/#1-first-test-beam-results).\n",
0044 "\n",
0045 "\n",
0046 "\n",
0047 "Here we just load one output file that is put on a public web server. That is from run 300, when we put 120 GeV proton beam through the center of the TPC prototye that measures the beam position in 16 planes. The ROOT file contains the reconstructed tracks and clusters. \n",
0048 "\n",
0049 "\n",
0050 "\n",
0051 "Here is [all the online QA plots for this run](https://www.phenix.bnl.gov/phenix/WWW/publish/jinhuang/sPHENIX/TPC2019_QA/Run_300/), we will reproduce two of them in this notebook."
0052 ]
0053 },
0054 {
0055 "cell_type": "code",
0056 "execution_count": 2,
0057 "metadata": {},
0058 "outputs": [
0059 {
0060 "name": "stderr",
0061 "output_type": "stream",
0062 "text": [
0063 "Warning in <TClass::Init>: no dictionary for class PHObject is available\n",
0064 "Warning in <TClass::Init>: no dictionary for class SvtxTrack_v1 is available\n",
0065 "Warning in <TClass::Init>: no dictionary for class SvtxTrack is available\n",
0066 "Warning in <TClass::Init>: no dictionary for class TpcPrototypeTrack is available\n"
0067 ]
0068 }
0069 ],
0070 "source": [
0071 "fDST = ROOT.TFile.Open('https://www.phenix.bnl.gov/phenix/WWW/publish/jinhuang/sPHENIX/TPC2019_QA/tpc_beam_00000300-0000.evt_TpcPrototypeGenFitTrkFitter.root')"
0072 ]
0073 },
0074 {
0075 "cell_type": "markdown",
0076 "metadata": {},
0077 "source": [
0078 "There is a tree `T` containing the reconstructed track. Let's checkout what is in the T tree by printing event 1"
0079 ]
0080 },
0081 {
0082 "cell_type": "code",
0083 "execution_count": 3,
0084 "metadata": {},
0085 "outputs": [
0086 {
0087 "name": "stdout",
0088 "output_type": "stream",
0089 "text": [
0090 "======> EVENT:1\n",
0091 " nTrack = 1\n",
0092 " TPCTrack = 1\n",
0093 " TPCTrack.fUniqueID = 0\n",
0094 " TPCTrack.fBits = 50331648\n",
0095 " TPCTrack.trackID = 0\n",
0096 " TPCTrack.chisq = 14.413390\n",
0097 " TPCTrack.ndf = 8\n",
0098 " TPCTrack.px = -97.363541\n",
0099 " TPCTrack.py = -22.807943\n",
0100 " TPCTrack.pz = 0.371238\n",
0101 " TPCTrack.x = 0.087810\n",
0102 " TPCTrack.y = -0.573704\n",
0103 " TPCTrack.z = -12.217271\n",
0104 " TPCTrack.nCluster = 8\n",
0105 " TPCTrack.clusterX[16] = -39.464973 , -40.634251 , -41.859875 , -43.058498 , -44.289875 , \n",
0106 " -45.508629 , -46.718132 , -47.938789 , nan , nan , \n",
0107 " nan , nan , nan , nan , nan , \n",
0108 " nan \n",
0109 "\n",
0110 " TPCTrack.clusterY[16] = -9.638797 , -10.117970 , -10.369010 , -10.728765 , -10.956621 , \n",
0111 " -11.235226 , -11.551269 , -11.822140 , nan , nan , \n",
0112 " nan , nan , nan , nan , nan , \n",
0113 " nan \n",
0114 "\n",
0115 " TPCTrack.clusterZ[16] = -12.254172 , -12.055928 , -12.090313 , -12.048982 , -12.041853 , \n",
0116 " -12.036312 , -11.958266 , -12.104868 , nan , nan , \n",
0117 " nan , nan , nan , nan , nan , \n",
0118 " nan \n",
0119 "\n",
0120 " TPCTrack.clusterE[16] = 78.000000 , 233.000000 , 297.000000 , 1283.000000 , 273.000000 , \n",
0121 " 176.000000 , 366.000000 , 767.000000 , nan , nan , \n",
0122 " nan , nan , nan , nan , nan , \n",
0123 " nan \n",
0124 "\n",
0125 " TPCTrack.clusterSizePhi[16] = 6.000000 , 6.000000 , 8.000000 , 8.000000 , 8.000000 , \n",
0126 " 8.000000 , 8.000000 , 8.000000 , nan , nan , \n",
0127 " nan , nan , nan , nan , nan , \n",
0128 " nan \n",
0129 "\n",
0130 " TPCTrack.clusterResidualPhi[16] = -0.195077 , 0.041198 , -0.042488 , 0.056664 , -0.014539 , \n",
0131 " -0.023344 , 0.017743 , -0.003741 , nan , nan , \n",
0132 " nan , nan , nan , nan , nan , \n",
0133 " nan \n",
0134 "\n",
0135 " TPCTrack.clusterProjectionPhi[16] = -2.897244 , -2.898538 , -2.897788 , -2.898675 , -2.898759 , \n",
0136 " -2.899053 , -2.899568 , -2.899732 , nan , nan , \n",
0137 " nan , nan , nan , nan , nan , \n",
0138 " nan \n",
0139 "\n",
0140 " TPCTrack.clusterResidualZ[16] = -0.187522 , 0.015675 , -0.046137 , 0.004545 , 0.007258 , \n",
0141 " 0.008670 , 0.112733 , -0.131991 , nan , nan , \n",
0142 " nan , nan , nan , nan , nan , \n",
0143 " nan \n",
0144 "\n"
0145 ]
0146 }
0147 ],
0148 "source": [
0149 "T = fDST.Get('T')\n",
0150 "T.Show(1)"
0151 ]
0152 },
0153 {
0154 "cell_type": "markdown",
0155 "metadata": {},
0156 "source": [
0157 "# Plotting\n",
0158 "\n",
0159 "## Number of tracks for each event\n",
0160 "\n",
0161 "A simple example is to check out the distribution of number of tracks reconstructed for each event. As you can see, most event have one track, produced by one 120 GeV proton going through the TPC"
0162 ]
0163 },
0164 {
0165 "cell_type": "code",
0166 "execution_count": 4,
0167 "metadata": {},
0168 "outputs": [
0169 {
0170 "data": {
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\n",
0172 "text/plain": [
0173 "<IPython.core.display.Image object>"
0174 ]
0175 },
0176 "metadata": {},
0177 "output_type": "display_data"
0178 }
0179 ],
0180 "source": [
0181 "c1 = TCanvas( 'TrackQA', 'TrackQA', 1000, 900)\n",
0182 "\n",
0183 "hnTrack = TH1F('hnTrack', ';# track per event', 8, -.5, 7.5);\n",
0184 "T.Draw('nTrack>>hnTrack');\n",
0185 "\n",
0186 "c1.Draw()"
0187 ]
0188 },
0189 {
0190 "cell_type": "markdown",
0191 "metadata": {},
0192 "source": [
0193 "## 3D imaging of the Fermilab beam\n",
0194 "\n",
0195 "A more fun plot is the draw the clusters on the track in 3D lab coordinate frame (need some rotation from the intrinsic TPC coordinate frame). Here we can show the 3D image of the 120 GeV proton beam through the TPC volumne, which is mostly in the center, with some beam halo and background outside the beam spot. "
0196 ]
0197 },
0198 {
0199 "cell_type": "code",
0200 "execution_count": 5,
0201 "metadata": {},
0202 "outputs": [
0203 {
0204 "data": {
0205 "image/png": 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\n",
0206 "text/plain": [
0207 "<IPython.core.display.Image object>"
0208 ]
0209 },
0210 "metadata": {},
0211 "output_type": "display_data"
0212 }
0213 ],
0214 "source": [
0215 "c1 = TCanvas( 'Track3D', 'Track3D', 1000, 900)\n",
0216 "\n",
0217 "h3ClusterOverlay = TH3F('h3ClusterOverlay', 'h3ClusterOverlay', \n",
0218 " 128, -40, 10, 64, 35, 65, 128, -15, 15);\n",
0219 "\n",
0220 "T.SetAlias('PhiCenter', 'pi/12 + pi'); # center line azimuthal angle for TPC sector 0\n",
0221 "\n",
0222 "T.Draw('TPCTrack.clusterX*cos(PhiCenter + pi/2) + TPCTrack.clusterY*sin(PhiCenter + pi/2):TPCTrack.clusterX*cos(PhiCenter) + TPCTrack.clusterY*sin(PhiCenter):TPCTrack.clusterZ>>h3ClusterOverlay', '', 'BOX2');\n",
0223 "\n",
0224 "h3ClusterOverlay.SetTitle(';Drift Direction [cm];Pad Row Direction [cm];Azimuth Direction [cm]');\n",
0225 "h3ClusterOverlay.SetLineWidth(0);\n",
0226 "\n",
0227 "c1.Draw()"
0228 ]
0229 }
0230 ],
0231 "metadata": {
0232 "kernelspec": {
0233 "display_name": "Python (sPHENIX)",
0234 "language": "python",
0235 "name": "sphenix-env"
0236 },
0237 "language_info": {
0238 "codemirror_mode": {
0239 "name": "ipython",
0240 "version": 3
0241 },
0242 "file_extension": ".py",
0243 "mimetype": "text/x-python",
0244 "name": "python",
0245 "nbconvert_exporter": "python",
0246 "pygments_lexer": "ipython3",
0247 "version": "3.8.0"
0248 }
0249 },
0250 "nbformat": 4,
0251 "nbformat_minor": 4
0252 }