Warning, /analysis/UE_in_pp/plotting/dijet_ue_topoclusters.ipynb is written in an unsupported language. File is not indexed.
0001 {
0002 "cells": [
0003 {
0004 "cell_type": "code",
0005 "execution_count": 1,
0006 "id": "0727af2b-0e8b-44b8-af33-eeeb6ffc8f85",
0007 "metadata": {},
0008 "outputs": [
0009 {
0010 "name": "stdout",
0011 "output_type": "stream",
0012 "text": [
0013 "Welcome to JupyROOT 6.26/06\n"
0014 ]
0015 }
0016 ],
0017 "source": [
0018 "import ROOT\n",
0019 "from ROOT import TCanvas, TFile, TProfile, TNtuple, TH1I, TH1F, TH2F, TH3F, TColor, TEfficiency\n",
0020 "from ROOT import gROOT, gBenchmark, gRandom, gSystem\n",
0021 "import numpy as np\n",
0022 "import pdb"
0023 ]
0024 },
0025 {
0026 "cell_type": "code",
0027 "execution_count": 2,
0028 "id": "09dbc289-1f1f-4b62-9c83-efd18859c012",
0029 "metadata": {},
0030 "outputs": [
0031 {
0032 "name": "stdout",
0033 "output_type": "stream",
0034 "text": [
0035 "/direct/sphenix+u/egm2153/spring_2023\n"
0036 ]
0037 },
0038 {
0039 "data": {
0040 "text/plain": [
0041 "0"
0042 ]
0043 },
0044 "execution_count": 2,
0045 "metadata": {},
0046 "output_type": "execute_result"
0047 },
0048 {
0049 "name": "stdout",
0050 "output_type": "stream",
0051 "text": [
0052 "sPhenixStyle: Applying nominal settings.\n",
0053 "sPhenixStyle: ROOT6 mode\n"
0054 ]
0055 }
0056 ],
0057 "source": [
0058 "%cd /sphenix/u/egm2153/spring_2023\n",
0059 "gROOT.LoadMacro(\"sPhenixStyle.C\");\n",
0060 "gROOT.ProcessLine(\"SetsPhenixStyle()\")"
0061 ]
0062 },
0063 {
0064 "cell_type": "code",
0065 "execution_count": 3,
0066 "id": "34ddc2fe-b709-44e8-ad2c-2800084add08",
0067 "metadata": {},
0068 "outputs": [
0069 {
0070 "name": "stdout",
0071 "output_type": "stream",
0072 "text": [
0073 "/gpfs/mnt/gpfs02/sphenix/user/egm2153/calib_study/JetValidation/analysis\n"
0074 ]
0075 }
0076 ],
0077 "source": [
0078 "%cd /sphenix/user/egm2153/calib_study/JetValidation/analysis"
0079 ]
0080 },
0081 {
0082 "cell_type": "code",
0083 "execution_count": 4,
0084 "id": "eb8b160b-8dc7-4fdd-89b7-8468492f8d66",
0085 "metadata": {},
0086 "outputs": [],
0087 "source": [
0088 "direct = 'results_11_11'"
0089 ]
0090 },
0091 {
0092 "cell_type": "code",
0093 "execution_count": 24,
0094 "id": "05ff6fe0-3897-4591-95a3-9e8e6761c72a",
0095 "metadata": {},
0096 "outputs": [],
0097 "source": [
0098 "#f2 = ROOT.TFile.Open(\"pt10cut/dijet_calo_analysis_fullrunlist.root\")\n",
0099 "f2 = ROOT.TFile.Open(\"ue_unfolding/dijet_calo_analysis_data_topo_pt7cut_wAj_wntopo.root\")\n",
0100 "h_ue_towards = TH1F(f2.Get(\"h_ue_towards\"))\n",
0101 "h_ue_transverse = TH1F(f2.Get(\"h_ue_transverse\"))\n",
0102 "h_ue_away = TH1F(f2.Get(\"h_ue_away\"))\n",
0103 "h_ue_xj_towards = TProfile(f2.Get(\"h_ue_xj_towards\"))\n",
0104 "h_ue_xj_transverse = TProfile(f2.Get(\"h_ue_xj_transverse\"))\n",
0105 "h_ue_xj_away = TProfile(f2.Get(\"h_ue_xj_away\"))\n",
0106 "h_ue_towards.Rebin(2)\n",
0107 "h_ue_transverse.Rebin(2)\n",
0108 "h_ue_away.Rebin(2)\n",
0109 "h_ue_towards.Scale(1.0/h_ue_towards.Integral())\n",
0110 "h_ue_transverse.Scale(1.0/h_ue_transverse.Integral())\n",
0111 "h_ue_away.Scale(1.0/h_ue_away.Integral())\n",
0112 "h_ue_towards.SetDirectory(0)\n",
0113 "h_ue_transverse.SetDirectory(0)\n",
0114 "h_ue_away.SetDirectory(0)\n",
0115 "h_ue_xj_towards.SetDirectory(0)\n",
0116 "h_ue_xj_transverse.SetDirectory(0)\n",
0117 "h_ue_xj_away.SetDirectory(0)\n",
0118 "h_ue_pt_towards = TProfile(f2.Get(\"h_ue_pt_towards\"))\n",
0119 "h_ue_pt_transverse = TProfile(f2.Get(\"h_ue_pt_transverse\"))\n",
0120 "h_ue_pt_away = TProfile(f2.Get(\"h_ue_pt_away\"))\n",
0121 "h_ue_pt_towards.Rebin(10)\n",
0122 "h_ue_pt_transverse.Rebin(10)\n",
0123 "h_ue_pt_away.Rebin(10)\n",
0124 "h_ue_pt_towards.SetDirectory(0)\n",
0125 "h_ue_pt_transverse.SetDirectory(0)\n",
0126 "h_ue_pt_away.SetDirectory(0)"
0127 ]
0128 },
0129 {
0130 "cell_type": "code",
0131 "execution_count": 25,
0132 "id": "0a2d0ac2-c67a-4e70-9fde-08add90aa40b",
0133 "metadata": {},
0134 "outputs": [],
0135 "source": [
0136 "f2 = ROOT.TFile.Open(\"ue_unfolding/dijet_calo_analysis_waveform_topocluster_simulation_pt7cut_wAj_wntopo.root\")\n",
0137 "h_mc_ue_towards = TH1F(f2.Get(\"h_ue_towards\"))\n",
0138 "h_mc_ue_transverse = TH1F(f2.Get(\"h_ue_transverse\"))\n",
0139 "h_mc_ue_away = TH1F(f2.Get(\"h_ue_away\"))\n",
0140 "h_mc_ue_xj_towards = TProfile(f2.Get(\"h_ue_xj_towards\"))\n",
0141 "h_mc_ue_xj_transverse = TProfile(f2.Get(\"h_ue_xj_transverse\"))\n",
0142 "h_mc_ue_xj_away = TProfile(f2.Get(\"h_ue_xj_away\"))\n",
0143 "h_mc_ue_towards.Rebin(2)\n",
0144 "h_mc_ue_transverse.Rebin(2)\n",
0145 "h_mc_ue_away.Rebin(2)\n",
0146 "h_mc_ue_towards.Scale(1.0/h_mc_ue_towards.Integral())\n",
0147 "h_mc_ue_transverse.Scale(1.0/h_mc_ue_transverse.Integral())\n",
0148 "h_mc_ue_away.Scale(1.0/h_mc_ue_away.Integral())\n",
0149 "h_mc_ue_towards.SetDirectory(0)\n",
0150 "h_mc_ue_transverse.SetDirectory(0)\n",
0151 "h_mc_ue_away.SetDirectory(0)\n",
0152 "h_mc_ue_xj_towards.SetDirectory(0)\n",
0153 "h_mc_ue_xj_transverse.SetDirectory(0)\n",
0154 "h_mc_ue_xj_away.SetDirectory(0)\n",
0155 "h_mc_ue_pt_towards = TProfile(f2.Get(\"h_ue_pt_towards\"))\n",
0156 "h_mc_ue_pt_transverse = TProfile(f2.Get(\"h_ue_pt_transverse\"))\n",
0157 "h_mc_ue_pt_away = TProfile(f2.Get(\"h_ue_pt_away\"))\n",
0158 "h_mc_ue_pt_towards.Rebin(10)\n",
0159 "h_mc_ue_pt_transverse.Rebin(10)\n",
0160 "h_mc_ue_pt_away.Rebin(10)\n",
0161 "h_mc_ue_pt_towards.SetDirectory(0)\n",
0162 "h_mc_ue_pt_transverse.SetDirectory(0)\n",
0163 "h_mc_ue_pt_away.SetDirectory(0)\n",
0164 "f2 = ROOT.TFile.Open(\"ue_unfolding/dijet_calo_analysis_cluster_topocluster_simulation_pt7cut_wAj_wntopo.root\")\n",
0165 "h_clus_ue_towards = TH1F(f2.Get(\"h_ue_towards\"))\n",
0166 "h_clus_ue_transverse = TH1F(f2.Get(\"h_ue_transverse\"))\n",
0167 "h_clus_ue_away = TH1F(f2.Get(\"h_ue_away\"))\n",
0168 "h_clus_ue_xj_towards = TProfile(f2.Get(\"h_ue_xj_towards\"))\n",
0169 "h_clus_ue_xj_transverse = TProfile(f2.Get(\"h_ue_xj_transverse\"))\n",
0170 "h_clus_ue_xj_away = TProfile(f2.Get(\"h_ue_xj_away\"))\n",
0171 "h_clus_ue_towards.Rebin(2)\n",
0172 "h_clus_ue_transverse.Rebin(2)\n",
0173 "h_clus_ue_away.Rebin(2)\n",
0174 "h_clus_ue_towards.Scale(1.0/h_clus_ue_towards.Integral())\n",
0175 "h_clus_ue_transverse.Scale(1.0/h_clus_ue_transverse.Integral())\n",
0176 "h_clus_ue_away.Scale(1.0/h_clus_ue_away.Integral())\n",
0177 "h_clus_ue_towards.SetDirectory(0)\n",
0178 "h_clus_ue_transverse.SetDirectory(0)\n",
0179 "h_clus_ue_away.SetDirectory(0)\n",
0180 "h_clus_ue_xj_towards.SetDirectory(0)\n",
0181 "h_clus_ue_xj_transverse.SetDirectory(0)\n",
0182 "h_clus_ue_xj_away.SetDirectory(0)\n",
0183 "h_clus_ue_pt_towards = TProfile(f2.Get(\"h_ue_pt_towards\"))\n",
0184 "h_clus_ue_pt_transverse = TProfile(f2.Get(\"h_ue_pt_transverse\"))\n",
0185 "h_clus_ue_pt_away = TProfile(f2.Get(\"h_ue_pt_away\"))\n",
0186 "h_clus_ue_pt_towards.Rebin(10)\n",
0187 "h_clus_ue_pt_transverse.Rebin(10)\n",
0188 "h_clus_ue_pt_away.Rebin(10)\n",
0189 "h_clus_ue_pt_towards.SetDirectory(0)\n",
0190 "h_clus_ue_pt_transverse.SetDirectory(0)\n",
0191 "h_clus_ue_pt_away.SetDirectory(0)\n",
0192 "f2.Close()\n",
0193 "f2 = ROOT.TFile.Open(\"ue_unfolding/dijet_calo_analysis_nozero_topocluster_simulation_pt7cut_wAj_wntopo.root\")\n",
0194 "h_nz_ue_towards = TH1F(f2.Get(\"h_ue_towards\"))\n",
0195 "h_nz_ue_transverse = TH1F(f2.Get(\"h_ue_transverse\"))\n",
0196 "h_nz_ue_away = TH1F(f2.Get(\"h_ue_away\"))\n",
0197 "h_nz_ue_xj_towards = TProfile(f2.Get(\"h_ue_xj_towards\"))\n",
0198 "h_nz_ue_xj_transverse = TProfile(f2.Get(\"h_ue_xj_transverse\"))\n",
0199 "h_nz_ue_xj_away = TProfile(f2.Get(\"h_ue_xj_away\"))\n",
0200 "h_nz_ue_towards.Rebin(2)\n",
0201 "h_nz_ue_transverse.Rebin(2)\n",
0202 "h_nz_ue_away.Rebin(2)\n",
0203 "h_nz_ue_towards.Scale(1.0/h_nz_ue_towards.Integral())\n",
0204 "h_nz_ue_transverse.Scale(1.0/h_nz_ue_transverse.Integral())\n",
0205 "h_nz_ue_away.Scale(1.0/h_nz_ue_away.Integral())\n",
0206 "h_nz_ue_towards.SetDirectory(0)\n",
0207 "h_nz_ue_transverse.SetDirectory(0)\n",
0208 "h_nz_ue_away.SetDirectory(0)\n",
0209 "h_nz_ue_xj_towards.SetDirectory(0)\n",
0210 "h_nz_ue_xj_transverse.SetDirectory(0)\n",
0211 "h_nz_ue_xj_away.SetDirectory(0)\n",
0212 "h_nz_ue_pt_towards = TProfile(f2.Get(\"h_ue_pt_towards\"))\n",
0213 "h_nz_ue_pt_transverse = TProfile(f2.Get(\"h_ue_pt_transverse\"))\n",
0214 "h_nz_ue_pt_away = TProfile(f2.Get(\"h_ue_pt_away\"))\n",
0215 "h_nz_ue_pt_towards.Rebin(10)\n",
0216 "h_nz_ue_pt_transverse.Rebin(10)\n",
0217 "h_nz_ue_pt_away.Rebin(10)\n",
0218 "h_nz_ue_pt_towards.SetDirectory(0)\n",
0219 "h_nz_ue_pt_transverse.SetDirectory(0)\n",
0220 "h_nz_ue_pt_away.SetDirectory(0)\n",
0221 "f2.Close()\n",
0222 "f2 = ROOT.TFile.Open(\"ue_unfolding/dijet_calo_analysis_detroit_jet10_topocluster_simulation_pt7cut_wAj_wntopo.root\")\n",
0223 "h_dt_ue_towards = TH1F(f2.Get(\"h_ue_towards\"))\n",
0224 "h_dt_ue_transverse = TH1F(f2.Get(\"h_ue_transverse\"))\n",
0225 "h_dt_ue_away = TH1F(f2.Get(\"h_ue_away\"))\n",
0226 "h_dt_ue_xj_towards = TProfile(f2.Get(\"h_ue_xj_towards\"))\n",
0227 "h_dt_ue_xj_transverse = TProfile(f2.Get(\"h_ue_xj_transverse\"))\n",
0228 "h_dt_ue_xj_away = TProfile(f2.Get(\"h_ue_xj_away\"))\n",
0229 "h_dt_ue_towards.Rebin(2)\n",
0230 "h_dt_ue_transverse.Rebin(2)\n",
0231 "h_dt_ue_away.Rebin(2)\n",
0232 "h_dt_ue_towards.Scale(1.0/h_dt_ue_towards.Integral())\n",
0233 "h_dt_ue_transverse.Scale(1.0/h_dt_ue_transverse.Integral())\n",
0234 "h_dt_ue_away.Scale(1.0/h_dt_ue_away.Integral())\n",
0235 "h_dt_ue_towards.SetDirectory(0)\n",
0236 "h_dt_ue_transverse.SetDirectory(0)\n",
0237 "h_dt_ue_away.SetDirectory(0)\n",
0238 "h_dt_ue_xj_towards.SetDirectory(0)\n",
0239 "h_dt_ue_xj_transverse.SetDirectory(0)\n",
0240 "h_dt_ue_xj_away.SetDirectory(0)\n",
0241 "h_dt_ue_pt_towards = TProfile(f2.Get(\"h_ue_pt_towards\"))\n",
0242 "h_dt_ue_pt_transverse = TProfile(f2.Get(\"h_ue_pt_transverse\"))\n",
0243 "h_dt_ue_pt_away = TProfile(f2.Get(\"h_ue_pt_away\"))\n",
0244 "h_dt_ue_pt_towards.Rebin(10)\n",
0245 "h_dt_ue_pt_transverse.Rebin(10)\n",
0246 "h_dt_ue_pt_away.Rebin(10)\n",
0247 "h_dt_ue_pt_towards.SetDirectory(0)\n",
0248 "h_dt_ue_pt_transverse.SetDirectory(0)\n",
0249 "h_dt_ue_pt_away.SetDirectory(0)\n",
0250 "f2.Close()"
0251 ]
0252 },
0253 {
0254 "cell_type": "code",
0255 "execution_count": 9,
0256 "id": "89a03af5-749d-4333-bcda-db32f5938136",
0257 "metadata": {},
0258 "outputs": [
0259 {
0260 "name": "stderr",
0261 "output_type": "stream",
0262 "text": [
0263 "Info in <TCanvas::Print>: png file /sphenix/u/egm2153/fall_2024/results_11_11/h_ue_towards_Topoclusters.png has been created\n"
0264 ]
0265 },
0266 {
0267 "data": {
0268 "image/png": "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\n",
0269 "text/plain": [
0270 "<IPython.core.display.Image object>"
0271 ]
0272 },
0273 "metadata": {},
0274 "output_type": "display_data"
0275 }
0276 ],
0277 "source": [
0278 "canvas = ROOT.TCanvas(\"canvas\",\"\",600,500)\n",
0279 "leg = ROOT.TLegend(.55,.65,.92,.92)\n",
0280 "leg.AddEntry(\"\",\"#bf{Towards Region}\",\"\")\n",
0281 "leg.AddEntry(h_ue_towards,\"Jet Trig. Data Topoclusters\",\"pl\")\n",
0282 "leg.AddEntry(h_mc_ue_towards,\"Waveform Topoclusters\",\"pl\")\n",
0283 "leg.AddEntry(h_clus_ue_towards,\"Cluster Topoclusters\",\"pl\")\n",
0284 "leg.AddEntry(h_nz_ue_towards,\"No ZS Topoclusters\",\"pl\")\n",
0285 "leg.AddEntry(h_dt_ue_towards,\"Detroit Waveform Topoclusters\",\"pl\")\n",
0286 "h_ue_towards.SetStats(0)\n",
0287 "h_mc_ue_towards.SetStats(0)\n",
0288 "h_clus_ue_towards.SetStats(0)\n",
0289 "h_nz_ue_towards.SetStats(0)\n",
0290 "h_dt_ue_towards.SetStats(0)\n",
0291 "h_mc_ue_towards.SetLineColor(2)\n",
0292 "h_mc_ue_towards.SetMarkerColor(2)\n",
0293 "h_clus_ue_towards.SetLineColor(4)\n",
0294 "h_clus_ue_towards.SetMarkerColor(4)\n",
0295 "h_nz_ue_towards.SetLineColor(6)\n",
0296 "h_nz_ue_towards.SetMarkerColor(6)\n",
0297 "h_dt_ue_towards.SetLineColor(7)\n",
0298 "h_dt_ue_towards.SetMarkerColor(7)\n",
0299 "h_mc_ue_towards.SetMarkerStyle(20)\n",
0300 "h_clus_ue_towards.SetMarkerStyle(20)\n",
0301 "h_nz_ue_towards.SetMarkerStyle(20)\n",
0302 "h_mc_ue_towards.GetXaxis().SetRangeUser(0,20)\n",
0303 "h_mc_ue_towards.Draw()\n",
0304 "h_dt_ue_towards.Draw('same')\n",
0305 "h_clus_ue_towards.Draw('same')\n",
0306 "h_nz_ue_towards.Draw('same')\n",
0307 "h_ue_towards.Draw('same')\n",
0308 "h_mc_ue_towards.SetXTitle(\"#SigmaE_{T}/#delta#eta#delta#phi [GeV]\") \n",
0309 "canvas.SetLogy(1)\n",
0310 "leg.SetTextSize(0.035)\n",
0311 "leg.Draw()\n",
0312 "canvas.Draw()\n",
0313 "canvas.SaveAs(\"/sphenix/u/egm2153/fall_2024/\"+direct+\"/h_ue_towards_Topoclusters.png\")"
0314 ]
0315 },
0316 {
0317 "cell_type": "code",
0318 "execution_count": 10,
0319 "id": "68c380de-7d13-4208-89b8-4a90fafad2a9",
0320 "metadata": {},
0321 "outputs": [
0322 {
0323 "name": "stderr",
0324 "output_type": "stream",
0325 "text": [
0326 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas\n",
0327 "Info in <TCanvas::Print>: png file /sphenix/u/egm2153/fall_2024/results_11_11/h_ue_transverse_Topoclusters.png has been created\n"
0328 ]
0329 },
0330 {
0331 "data": {
0332 "image/png": "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\n",
0333 "text/plain": [
0334 "<IPython.core.display.Image object>"
0335 ]
0336 },
0337 "metadata": {},
0338 "output_type": "display_data"
0339 }
0340 ],
0341 "source": [
0342 "canvas = ROOT.TCanvas(\"canvas\",\"\",600,500)\n",
0343 "leg = ROOT.TLegend(.55,.65,.92,.92)\n",
0344 "leg.AddEntry(\"\",\"#bf{Transverse Region}\",\"\")\n",
0345 "leg.AddEntry(h_ue_transverse,\"Jet Trig. Data Topoclusters\",\"pl\")\n",
0346 "leg.AddEntry(h_mc_ue_transverse,\"Waveform Topoclusters\",\"pl\")\n",
0347 "leg.AddEntry(h_clus_ue_transverse,\"Cluster Topoclusters\",\"pl\")\n",
0348 "leg.AddEntry(h_nz_ue_transverse,\"No ZS Topoclusters\",\"pl\")\n",
0349 "leg.AddEntry(h_dt_ue_transverse,\"Detroit Waveform Topoclusters\",\"pl\")\n",
0350 "h_ue_transverse.SetStats(0)\n",
0351 "h_mc_ue_transverse.SetStats(0)\n",
0352 "h_clus_ue_transverse.SetStats(0)\n",
0353 "h_nz_ue_transverse.SetStats(0)\n",
0354 "h_dt_ue_transverse.SetStats(0)\n",
0355 "h_mc_ue_transverse.SetLineColor(2)\n",
0356 "h_mc_ue_transverse.SetMarkerColor(2)\n",
0357 "h_clus_ue_transverse.SetLineColor(4)\n",
0358 "h_clus_ue_transverse.SetMarkerColor(4)\n",
0359 "h_nz_ue_transverse.SetLineColor(6)\n",
0360 "h_nz_ue_transverse.SetMarkerColor(6)\n",
0361 "h_dt_ue_transverse.SetLineColor(7)\n",
0362 "h_dt_ue_transverse.SetMarkerColor(7)\n",
0363 "h_mc_ue_transverse.SetMarkerStyle(20)\n",
0364 "h_clus_ue_transverse.SetMarkerStyle(20)\n",
0365 "h_nz_ue_transverse.SetMarkerStyle(20)\n",
0366 "h_mc_ue_transverse.GetXaxis().SetRangeUser(-3,13)\n",
0367 "h_mc_ue_transverse.Draw()\n",
0368 "h_dt_ue_transverse.Draw('same')\n",
0369 "h_clus_ue_transverse.Draw('same')\n",
0370 "h_nz_ue_transverse.Draw('same')\n",
0371 "h_ue_transverse.Draw('same')\n",
0372 "h_mc_ue_transverse.SetXTitle(\"#SigmaE_{T}/#delta#eta#delta#phi [GeV]\") \n",
0373 "canvas.SetLogy(1)\n",
0374 "leg.SetTextSize(0.035)\n",
0375 "leg.Draw()\n",
0376 "canvas.Draw()\n",
0377 "canvas.SaveAs(\"/sphenix/u/egm2153/fall_2024/\"+direct+\"/h_ue_transverse_Topoclusters.png\")"
0378 ]
0379 },
0380 {
0381 "cell_type": "code",
0382 "execution_count": 11,
0383 "id": "19ff26eb-e474-4eec-9441-ba385b1ef79d",
0384 "metadata": {},
0385 "outputs": [
0386 {
0387 "name": "stderr",
0388 "output_type": "stream",
0389 "text": [
0390 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas\n",
0391 "Info in <TCanvas::Print>: png file /sphenix/u/egm2153/fall_2024/results_11_11/h_ue_away_Topoclusters.png has been created\n"
0392 ]
0393 },
0394 {
0395 "data": {
0396 "image/png": "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\n",
0397 "text/plain": [
0398 "<IPython.core.display.Image object>"
0399 ]
0400 },
0401 "metadata": {},
0402 "output_type": "display_data"
0403 }
0404 ],
0405 "source": [
0406 "canvas = ROOT.TCanvas(\"canvas\",\"\",600,500)\n",
0407 "leg = ROOT.TLegend(.55,.65,.92,.92)\n",
0408 "leg.AddEntry(\"\",\"#bf{Away Region}\",\"\")\n",
0409 "leg.AddEntry(h_ue_away,\"Jet Trig. Data Topoclusters\",\"pl\")\n",
0410 "leg.AddEntry(h_mc_ue_away,\"Waveform Topoclusters\",\"pl\")\n",
0411 "leg.AddEntry(h_clus_ue_away,\"Cluster Topoclusters\",\"pl\")\n",
0412 "leg.AddEntry(h_nz_ue_away,\"No ZS Topoclusters\",\"pl\")\n",
0413 "leg.AddEntry(h_dt_ue_away,\"Detroit Waveform Topoclusters\",\"pl\")\n",
0414 "h_ue_away.SetStats(0)\n",
0415 "h_mc_ue_away.SetStats(0)\n",
0416 "h_clus_ue_away.SetStats(0)\n",
0417 "h_nz_ue_away.SetStats(0)\n",
0418 "h_dt_ue_away.SetStats(0)\n",
0419 "h_mc_ue_away.SetLineColor(2)\n",
0420 "h_mc_ue_away.SetMarkerColor(2)\n",
0421 "h_clus_ue_away.SetLineColor(4)\n",
0422 "h_clus_ue_away.SetMarkerColor(4)\n",
0423 "h_nz_ue_away.SetLineColor(6)\n",
0424 "h_nz_ue_away.SetMarkerColor(6)\n",
0425 "h_dt_ue_away.SetLineColor(7)\n",
0426 "h_dt_ue_away.SetMarkerColor(7)\n",
0427 "h_mc_ue_away.SetMarkerStyle(20)\n",
0428 "h_clus_ue_away.SetMarkerStyle(20)\n",
0429 "h_nz_ue_away.SetMarkerStyle(20)\n",
0430 "h_mc_ue_away.GetXaxis().SetRangeUser(-1,20)\n",
0431 "h_mc_ue_away.Draw()\n",
0432 "h_dt_ue_away.Draw('same')\n",
0433 "h_clus_ue_away.Draw('same')\n",
0434 "h_nz_ue_away.Draw('same')\n",
0435 "h_ue_away.Draw('same')\n",
0436 "h_mc_ue_away.SetXTitle(\"#SigmaE_{T}/#delta#eta#delta#phi [GeV]\") \n",
0437 "canvas.SetLogy(1)\n",
0438 "leg.SetTextSize(0.035)\n",
0439 "leg.Draw()\n",
0440 "canvas.Draw()\n",
0441 "canvas.SaveAs(\"/sphenix/u/egm2153/fall_2024/\"+direct+\"/h_ue_away_Topoclusters.png\")"
0442 ]
0443 },
0444 {
0445 "cell_type": "code",
0446 "execution_count": 12,
0447 "id": "f98541ff-b63b-4821-bd75-f63a0119cb59",
0448 "metadata": {},
0449 "outputs": [
0450 {
0451 "name": "stderr",
0452 "output_type": "stream",
0453 "text": [
0454 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas\n",
0455 "Info in <TCanvas::Print>: png file /sphenix/u/egm2153/fall_2024/results_11_11/h_ue_xj_towards_Topoclusters.png has been created\n"
0456 ]
0457 },
0458 {
0459 "data": {
0460 "image/png": "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\n",
0461 "text/plain": [
0462 "<IPython.core.display.Image object>"
0463 ]
0464 },
0465 "metadata": {},
0466 "output_type": "display_data"
0467 }
0468 ],
0469 "source": [
0470 "canvas = ROOT.TCanvas(\"canvas\",\"\",600,500)\n",
0471 "leg = ROOT.TLegend(.48,.64,.92,.92)\n",
0472 "leg.AddEntry(\"\",\"#bf{Towards Region}\",\"\")\n",
0473 "leg.AddEntry(h_ue_xj_towards,\"Jet Trig. Data Topoclusters\",\"pl\")\n",
0474 "leg.AddEntry(h_mc_ue_xj_towards,\"Waveform Topoclusters\",\"pl\")\n",
0475 "leg.AddEntry(h_clus_ue_xj_towards,\"Cluster Topoclusters\",\"pl\")\n",
0476 "leg.AddEntry(h_nz_ue_xj_towards,\"No ZS Topoclusters\",\"pl\")\n",
0477 "leg.AddEntry(h_dt_ue_xj_towards,\"Detroit Waveform Topoclusters\",\"pl\")\n",
0478 "h_mc_ue_xj_towards.SetStats(0)\n",
0479 "h_clus_ue_xj_towards.SetStats(0)\n",
0480 "h_nz_ue_xj_towards.SetStats(0)\n",
0481 "h_ue_xj_towards.SetStats(0)\n",
0482 "h_dt_ue_xj_towards.SetStats(0)\n",
0483 "h_mc_ue_xj_towards.SetLineColor(2)\n",
0484 "h_mc_ue_xj_towards.SetMarkerColor(2)\n",
0485 "h_clus_ue_xj_towards.SetLineColor(4)\n",
0486 "h_clus_ue_xj_towards.SetMarkerColor(4)\n",
0487 "h_nz_ue_xj_towards.SetLineColor(6)\n",
0488 "h_nz_ue_xj_towards.SetMarkerColor(6)\n",
0489 "h_ue_xj_towards.SetLineColor(1)\n",
0490 "h_ue_xj_towards.SetMarkerColor(1)\n",
0491 "h_dt_ue_xj_towards.SetLineColor(7)\n",
0492 "h_dt_ue_xj_towards.SetMarkerColor(7)\n",
0493 "h_mc_ue_xj_towards.SetMarkerStyle(20)\n",
0494 "h_clus_ue_xj_towards.SetMarkerStyle(20)\n",
0495 "h_nz_ue_xj_towards.SetMarkerStyle(20)\n",
0496 "h_ue_xj_towards.SetMarkerStyle(20)\n",
0497 "h_dt_ue_xj_towards.SetMarkerStyle(20)\n",
0498 "h_mc_ue_xj_towards.GetYaxis().SetRangeUser(3.5,9)\n",
0499 "h_mc_ue_xj_towards.Draw()\n",
0500 "h_ue_xj_towards.Draw('same')\n",
0501 "h_clus_ue_xj_towards.Draw('same')\n",
0502 "h_nz_ue_xj_towards.Draw('same')\n",
0503 "h_dt_ue_xj_towards.Draw('same')\n",
0504 "h_mc_ue_xj_towards.SetYTitle(\"<#SigmaE_{T}/#delta#eta#delta#phi> [GeV]\") \n",
0505 "h_mc_ue_xj_towards.SetXTitle(\"x_{j}\")\n",
0506 "leg.SetTextSize(0.035)\n",
0507 "leg.Draw()\n",
0508 "canvas.Draw()\n",
0509 "canvas.SaveAs(\"/sphenix/u/egm2153/fall_2024/\"+direct+\"/h_ue_xj_towards_Topoclusters.png\")"
0510 ]
0511 },
0512 {
0513 "cell_type": "code",
0514 "execution_count": 13,
0515 "id": "472eddb0-1ded-47ae-9710-279b69e0477a",
0516 "metadata": {},
0517 "outputs": [
0518 {
0519 "name": "stderr",
0520 "output_type": "stream",
0521 "text": [
0522 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas\n",
0523 "Info in <TCanvas::Print>: png file /sphenix/u/egm2153/fall_2024/results_11_11/h_ue_xj_transverse_Topoclusters.png has been created\n"
0524 ]
0525 },
0526 {
0527 "data": {
0528 "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlQAAAHYCAIAAAAEYOFAAAAABmJLR0QAAAAAAAD5Q7t/AAAgAElEQVR4nO3dX4wkx30f8F+dBFCSeZxdwn/i0/JAOIBjmzZi6iGiElLdYwcxj3oxFD+FEg04wXFnNw4CB8btnhHOjCHqLoAFJDDvlt43U3pNBFGKJTngTY9sy/oDhJYN2TEC0oebIeU8kDdLifoDa7vy8Lutq62u7uk/Vd09098PDuRuT0/1b3pn6jdVXV0lpJQEAADQJWeaDgAAAKBuSH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA57yz3tDAMSx8yDMPRaFT66XUSQjQdAgBAp0kpfRRbMvlNp1O3cbRW2nkXQmT8STIe9fFEBLPer6JVwZR+IoJZ71fhL5i0hyoq3+0ZBIEszmHoAAAA5ZRPflV6PgEAABpUsttzOByWS36lnwgAAOBKVmdrhiiKupDD0Nu+6sGUfiKCWe9X0apgSj+x48FUVLLbs9/vCyHCMIyiyGk8AAAA3pVMqsYInCAIRqPR+rUF/X3pKAHBpEEwaRBMmlYFQy2LpyPBlGz5SSknk8lwOORfp9MptwVHoxHaggAA0HJukupoNBqPx/oWHtiy6m3BjnwDKgHBpEEwaRBMhlbF05FgHJdrzYKrMp9LUkfeBCUgmDQIJg2CydCqeDoSjK9yjSzYnlNZSEfeBCUgmDQIJg2CydCqeDoSjK+JrcMwVFcEwYn2vB0JwaRDMGkQTIZWxdOqYPwpeZN7BmvPp/OjAAAAlOYs+a3Z1T7FOq1qR74ZAQDUxt8c1lZVkx/f26Av8rBm9/whzwEA1MBa2frLiCWT39rnPAAAWGNVZ3gJgmCFFqctqlWjngAAusZfJVy+23M9LukBAEAHlUx+aA8BAMDqcnyrA0/sGUVRzY3CKIrUnKJ5Dp0W4Rp34QIAwF3SEeNmPrVlOBy6OoTVZDJJvqilB8249VDfzeH5AQCAovxVwm5afvr4FzUENAzD8XjMN//5a071+306GWtKRFEU5T8olpUHAOio6vmTW1FBEPCvQRDoxbo6Sp5DM9UWzHiiEWQaf5EDAMBS/iphB3N7qut81kc5P3la5M/awsvTmNPvUAQAgK5xkPyyEwmnIk/Jjxtwadku50Gx+i4AQNc4SH6cgdJwavF0aS2KIpm46UIls6UHDcNQCMFr0AshkAUBADrCQfLjHJM2uoR7JmsbVxJFEQ+ByRjPqZLcdDoNgmA4HHL+7vf7uM8BAKATnFw55KKCIJhMJmosiRp4YgxI8UclvOxbHTiwPMNk6j+TAABrrw1Vq5tp01R7KykIghq6E/UAJpNJuYZmGIbT6VSftg1zewIANKjtK7mHYSilVP2HjBuCNWS+MAxVV6eUsnQXq9exOQAA0B4upzdr5IIZN9fI3XSjuO0dAGDtuWn5NWU0GvGglUKZjwd5Jlt4aPMBAHSEg+7UKIpUh2Fa489TXuFp1Za+BOPmh9FoNB6Pkxcjk6Xhmh8AQIM8VsJVRsuo0ZXGrwZ/oz1zvjS+EqmHoQKbTCaTySRtmGjF8wMAAFX4q4TLX/NTF9uMm9x5tmieYJoqjL1cqkprcjKZ9Pv96XSqD1LF8rwAAB1RskXJPYd0OrfxRn0LJ0h/+a8itQpgGIbWCNHtCQDQIH+VcMmWX85WXRRFPH9YO1NIWs4DAID1Vmm0Z57MwZ2iGEgJAADtUSb5cSbLns9awZ3jAADQNuVbfslm32g0kokJVtCvCAAAbVM++WG1PAAAWFElB9LkvLtc7dnaAZ/ZOPikdo7fAQBYXTXXtyVbfnzBb+ldcWqHVcx8LO2+SwAAcKjmyrb8LRScpTNWLLLeC7hacJ8fAECDWnefH2mTpAgheFYX9ZCa3oVOJnypFiQAAIBLlZJqxhq2bHXbfAwtPwCABrV0MVtew3YymQRBYCxjW3FdWQAAAH/QssmClh8AQINa1/IbjUblbuAr/UQAAABXyt/nV24BICFExgDRtkHLDwCgQW0c7anWAwIAAFgt5ZOfsRIsAADAqiiZ/HIu6WCFIaAAANAsXNPKgmt+AAANauM1v46wzrWKjAgA4FbaxNaeIPktgTwHAFADa2XrLyNWmuEFANZYGIYiRdOh1WE0GiVfeMUhC1wmxj20AZIfAICF9VYunsq/9ljAPSQ/ALCLoojXVBsOh7wl5yprJe4A9vqUKnckB0GgXvVkMrEWmFZ+cvtoNJJSJrdnR4g7qn1A8gOAMrgbMIoi1Y/HPwsh+v2+3rnH3ad6L6Le78eP8lO4QP0pvI/RW6g/JbkPP6oHacSjh6ofdKlkd6Vevj7jFQejtqujGy8k7YypkvVykAIdsy6eCwznB0DaWn7ydOOPm0fqZ7X/ZDKRUqrbgvXlX/ghtedwOFQPSa2Nxcfih3itGP5ZPwpvV7+qJyb35DhV4cZBDerpkxPGzmmvV5VvrHWjglStyWQJxkNGIS7+mCvG36v2Ui6d7itYXd18twEYMpKf/klXa5nJlHS19KHhcKhKSKaZ5M96jkzrm1UFqsL1AJK76S+HbJKHlqezmrX8ZPIzAjYKtL4W2T3+XrX7bk9u+0+nUzTSAdae3ten91hOp1NjT73T0tjIo0i4r1IVyClErQPDv6paRfUWGkfRMxZnl/F4rPc68uHU9jyjV4IT+ks2IhmPx6pk/q96mUaTVOES1KN6X+jSkKA69/f58ZuAsHoRQMdwIuH2XxRFyfyXNBqNwjAcjUYqIY3HY/6+PxqN+v2+mkDfWEMmzwyLeuFMFZ6zBN5N1WOj0Wg8HhvVWlo5uJ+h5RwnP/VdJudbHwDWAycnlSpyVv28s/ovt+SiKOJxK3TSikoWqDJQxjdsa+Ec5HQ65bxIWoM1T8CkNez4i35aJKPRyGgjGsIwtPaQIWvWw3G3J/+xVZuvxIJ/ALC6ptMpV/o5v/v2+/1+v895SKUBVfvrI2WMh3j/MAz7/X5aPaMKN9Zf4/25DcftS25iLo022WGrIuE+WL0nczwec9Mz7VSoPlh++ardvDQMcMPtJURKXNZ2W37NVj1+ACcyBrzw+EZ9C9MHRhoDQLg0/lWN8lD0gSfqUf0oxlP0wTJ0egBOsnBVjnEdTi9fMQbjJONJi0SeHiyjl2MEmVGCccJ9VNcrwd+rdjlhNn/HUQVyP8NkMlndVrzAqg4ARRTtQtSfVeiJ+Q+UUXi5aHMWorbzlcLhcJjWQnUSxrryVwm7LFcIoV8ctm5ZLWkjwZARASANNwOCIOBsx9caV7oZUI+a61tn1/zU1T5943A4XPV7HtJa4gAAVlzjTadTvppIRMPhEJlvqZorW2ctP07aydJWuvGHbk8AKA39mdX5q4Td3Opg3K2p41HFTo4CALBCkPbaDC2bLGj5AQA0qO0tPxad4F/VPaQAAACt4iyp8nDe5PaVHuOElh8AQIPa3vJTmS8IAmPRrFW/1Q8AANaPm6SaNtSTiHgCIYz2BACAovxVwg7u8+PElpxJiKklnqsfCAAAwInyyY9X7VJLavX7fZGCb/ZUv6ILFGAVCSHKDWHjWZutkjtXGSjHE0zrPNU2hV6RD7UdaI2Vv+anN+Z43vS03fr9PjoPAdziCbSajsIkhEhOYsmLG/DP/X5fzftlVT1dqelUoijiFWvzDDso1L1W6BW1CrriFGe3OiTzH9/2MB6PW/gRBVhR8/n8+vXrBwcHi8ViY2Nje3t7d3d3a2ur6biWMBYDykhF1bOIKkEtFeRj2EH+VwTt5GZuT166VvUzqO5QY7FHAKhiPp8//fTTt2/fXiwWRLRYLI6Oji5evDifz2uORO9gVPU+/zAejwtlAk5RXG/Q6W5P/Sj8c4lQJ5OJPsmUqqBUL64qmY9Cp3s1y2U1vQT95ah8rF6UNTBj9UHrdvUs/euC/muyQLWovTqT1jj5z8EPqRnaMmJYVU4WRmLJFp6+PNUqquGkAeS3v7+/vb1tvBsHg8He3l4NRydtsT06vSBfcnueQpha7o4XyQuCQNUblFj2LztC3s16UFU4/zyZTHg6Rv2JalU/47jZ9VjyFennRF+8UE0AyQHoK56qwOTplVD5KbxdD1h/on509av+RONAxgqIeuH6z9aHvK7SWnN9675cfldZF4dcOchz4EPah7wRhcLmilWvQOXplENlk5/+KxdubNer/jQZyU+lBGP1XT3hqUKMdFI0+dHpfKki17OI8dyM7UYwvBstS37G2VOFW79bGA8ZpzqtqHoUeosW4nJ6M8aNYkxnDrCuuBdR782rWGDasAB9rvwwDK1zSOXEdZG+8lpaaXwBT03WWG5gkXFFUD9WnjV19ZVwjGlDcgYwGo14jD0P/0mrivk+bPWrdRGCnEWtnEq3OiTHdAkhxif4fK1PBzGAI6W/q25sbFgL7PV6pcvMiNOoGXV6PgjD0LqiS37W+tTVajB6auFrV9m3JvMlQL6DazQalRuvlzND+FvuLQxDKeVwOOTx9nkul6b9HUsUtRJKtvx4qeLpdKpfXFVvVvV24Tv8ML0ZgBPb29tHR0cHBwf6xp2dnbNnz/o4HI+PSOY//oDr230M9DcSQ+kkoSew6XS6tDri/SvmJB7bon5O2206neo3ZiytJ9XgoIwC9ZsZ1N+Fx7Mk/0zG8CJrmTmLWjklW36c59RXJ/6Q0EkPsuox4O8L/B0KACra3d29efPmYDBQW3Z2dl599dXd3V0fh9MrWa7sVOfhdDpVdaWnDh7jKHrPYUaTlLTlZbgvSuVvI8jsFKKKKtEAHQ6H4/FYj9zov+Uf9D5YOt2NrGIOgkDVn2nBqDNjfB1ZWvEGQaCey606698xT1ErqUQ/iTG+S/WcpF0ILXeUNljdyGFdzWazvb29Xq9HRL1e79KlS7du3fJ3OL2u0D/yRv+Y2q6GbmYUmBzwkjbARD+KPgojbcxhsifTiETvw1SF66+Ux2EarzoZc/YrMg5kvBwjBr2c/Nvp9DhVdSB1Mo1XkYxhaZxpZ7XmMfzWP7QTZeYMNSZtUR2eaUXlnGGhfvz1kH+2fpEsNOkDQJ3y9JK5OhCltJOsDzkf7MavNHI0V5QRntE/afRV6l2IJV6R8URe/UZKmVZg0e05n0i2UTPJXtnsF5hzN+c8VsIlEibfocI/q8G7+kZj53JH8cp6rTv59a2FkQN0RHLA/arfN5znbg0w+DtjJZMqD3slovF4rFp1PApIv36rOqnLHcUfDlXNyBdFEfd9G9MSouUH0CB9GB21rxopSrX8mg5klbSr5Se1iQ/063xpQ4fbdsO70evNrFNIlD4/AOBK2yqQKtbptdTDXyXsPqka9zy08D4/bvYlL0OKxJK8aPkBADTIXyXcxcqd03PyhSeTIpIfAECD/FXCblZ1yC/7Bp3aYkiezabGMgEAQP3czO3Jo5Dz7994/jOo+JOz++SfywdtRACAPNowR5qb5Jc/8wVB0LamFQ/BosRQT4aUBgDgVv561V+adJD8VIfhyuUJvcHaztvwAQDAB2fX/NLuc2itMAxVV6eUEpkPAKA7HCS/VUwb+pRsbbsACdASvADQ0i3OawB94SEfeNEiq3pqg9oOBBnctPwmk8kKTfvNs8XzTe5NxwJQknS03F2G5GII/JXR2OI2+fG0UF4vQ4RhODnBMzurX1uekzhtNx3FmnAz4CUMwyAIhBBpCz+26lZ3Ht7SqpAAcpLzOV2/TgcHtFjIjQ3a3qbdXbG15eNYxjpz6iNjbPGRpXz3Jxnlr2L3FVTlZJ6Yeo7iSv5Q2xY5dFw8m8VPPBFvb0si/hcPBvGFC/Fs5umIdHr5G14xR30uknNPq8+RvviOPqeXvoCRvj/vow8dSG5RkfBGfW01Oj3sQDXpaNkSPNbVkawHTR4lbY0nfbt1f/WzsR5Acs0APYYSJ4c3JotaIf4qYZfJbzgcTiaToY2TozixdGCOvrO/8w5QQry/r2e+u/lvb8/TEfXcoD7jaou+0gL/zJ2HelKkxOp0XHGr/kbjKPpz9fSW/NlIJ6o0/SG17EyeF6gHqV6LnjD0o+gl67EZ6/8ZMasI9Z3VcdWvyQL1g+px6oUbOZL/WMnDrdb8oiuQ/FbrhOaE5AdenM5e+f/FBbfn+pdJpTo95yUrcSmlqmrVPmq79Wej0jDqcd5oZCYjNxhPV78azyqa/KxLuSZfr9Ryv9GiUiUYyzCplkDO5KfHoAeTEWfy5CSLWq262l8l7Oaanzy5VQAX0gA8kcse9TEQQl+eTG3ktcCSK7Wq//JldbV9PB7zZcLxeMxVNj/XKDZZe0ynU73LTs1HoceWFnNpURTp/bEZVwf5FWVsT8afMwa1SBzPCmJ9Ip8u9ZA6pUY8eYrqJmf3+an38egEEiGAnZQl/gkpaWPDXmCvJ0qVSfkGPPOnW9XjfKcQV6N6JavuT0heXFC1QVrla51fKS2YPLu5tfSgzofMyJO23Xg8tt74MT093DcMQ7WWatGiuql8y4/v79Hfr8b3Mv4ZM6cAOLO9LY+OxMGBvk3u7NDZs/6OGQQBf5bVh50/6ePxWLWQsu9PGA6Hes2g6LWHtUY21kRTbU2v1bfentM3qhj0n/UzoG/nH4z49cZxNqNVxzNyyNPfVPjQRg1crqiOKtdbqv7kyS1EFJzgX1eri1lX+vwA+BDPZvGFC/FgcPdq385O/Pjj8a1b/g6qmnH6Rt6iLoAZ15n0wSzW/eXp62T60/VrVEaxdHpMhxGP2m04HCaHaKa9uuQ1P32wiUwM+TFisw4kIdsgF3072S5w6uUbBaprhxknR8VplJlW1KrwVwmXLNfIaqo/JDmw07gqu1rcfmMAqC6ezeK9vbjXi4niXi++dMlr5mOUGCKfTG/GfQ7WL8d6CUbXqJFH1W76NTOj3jcidJX8kgc1sq/arh8lbbv1NgNKjFPVz1tyOyUSpD74c+nJMW6/bm1rhFJ4OlyZdQJ5Pmi9jz5tbXT1aImjtMHqRg5rT0aRaNkFBWMIjN4TmPMpFXdzK3lQIQTXcmkvLS3O7Pizn5V8yDh6npOTVlT7tWsld05+6on6PJn2Y5y8YyrE2QwkPwBQVrcqW13+KuGSA15UO5rnyeSGtvVCdCNf2QAAADKUTKpCCDV2Vn0V4s5PNdyWh0dnNwpbDi0/AFDydOSCW+3q9qSTnk++11Xv4reu7bC6HQVIfgAADWpd8sugLgFS4jaXlYPkBwDQoFVKfusEyQ8AoEH+KmFn05sBAACsCiQ/AADonJLJTwghhMAE4QAAsIpKJj8pJU9Wq7LgSg9sAQCATinf7TkajXiGtOFwyDc5IAsCrCVerkhRn/Eoivju3vqJFPV0R2FhvDXg4JofJzwp5WQyUVnQ97IjtbF+wJoOCoCm05rGIQsheBYn/owHQWC9nbcoXhOt9NMnJ9QU26y2W4pL12+oQNLUXNm6HPDCCU+eTCu+HlnQOh1400FBd83n8vJlubkpw5A2N+X+vpzPPb4huX0jpeSkoj7OjU9bEWqSv8Iqqrmy9TLaM5kF0UUAUN18Lp9+mm7fpsVCEInFQhwd0cWL5C//jcdjY90cSpmzyegJ1H/Ve01V7pxOp9PpVJUzGo2S3aqjEyXWH1cHNZZl4CnKkn2k3IWbfEradv1R66/WJ/Kj+qEz4lQbs2OAkiosh7REa1eNys/r+QEoan8/3t6OTxayvfNvMIj39mIfhzOWS03bgX+mxFq1xkKvqouSd9BXVdUXXNV/5v2DIMiIwbpiKFduyYPydj0wfVFZ/Wd97T19IVnex7q6bPKEcOTJwo0FAtU++kH5KbyntaiO8FcJ+yo3uaDiKlqDlwAtZGSvIv/MzLds+/J/GZZ+ivMkP2PpcOuS4sZz1UPWlWYNyeSXsdQt2VaaTR5IbTcKV8vk5kx+6sVy3lLb0yLX4zROprWoLvBXCZdc0ggAapfdtymJvIwOqLiUwWg04sv/vN5LxoKueiekPj9w0SNaO0jVq9ADCMNwPB7z4fTe3dFoNB6PeV0aPYCil2949v+0oaEcZ1qZepw8yCijKCgBM7wA1E3Kcv/Exoa9wF6PpBTlis2gLjgZ2/kiXM4XG4ahPLktmLNgnqckLzSuHHnSEOT7ofMkrbRXHUVR0aJgKb/Jzzp0FXcLAJSzvU2DgZmvdnbk9ravIwZBwG0jXXJLBtW+Ub1Y1rp7pPE6aFPP5epnY/0ZNSpHX6OGcjSCjULU0D/raeSi9BdOKcNolxYFJfhNfsN0Xo8LsJZ2d+nmzVP5b2dHvvoq7e76OmKyRuYt3BDR6flDT2/9fl9f8pNs9bt+7yDfK1zl/igjZv5VhTSdTlXhaizraDTSt3MfIyXavmk3OOoF5nkVeoenPuzTmtWqnxCw83QtEQNeAHyYzeK9vbjXi4niXi++dCm+dcvLUE8lmefUWAz9Y67vxuNB9PGN+kO8P2cdY3yjsY8xWMbKOtrTOKgxujJ5IFVOsmK0btcD0wvUgzGuVuoxqF8z4tRHtaQV1QX+KmFfSyXxtxVPhddGYD0/aKsokmFY3+UD1fLI0+9nvR8uud3Y6Pz2+WSBQgi+SbFQnEtjy35W8iGj+zTPC895/tePv0rYY+UervjcLoTkB7BeVPJrOhDIy18lXPKaHw8CXroPEfHl63JHAQAA8KFkUuXhmsZzhRDGoKm0PVcFWn4A66TiPYtQP3+VMG5yX8J6VwYyIsAqQuZrs5pvgUPyWwJ5DgCgBtbK1l9GxAwvAADQOUh+AADQOUh+AADQOUh+AADQOUh+AADQOZVGe6atm1WlTABoD+t9umlLHWUXksTF8kp++gJ+1pLTChkOhzUs8cMrPGAtoXVSKfkl5zifTqdpE58DgENyKkVQ031RFacqTE6NrdcSvISCmnKTFwtMjnpXhXCmTJbpW+kzgLky2gn3+QGsEjmXdJ3ogGhBckPSNtEuiS2/WZCX+yl9h7jxRP6VsxdnFH3W5iiKhBDJw6lfeY093K4OFZW85ld08Qi3QQN0k5xLeproNomFECTEQtAR0UWSc48fseFwqK+3lxSGIa9QnSchcbttOBxm9J2Wm3vaGobKo/yQ3m/JWTb5lLTt+qPWX5NPVI9yGEvjNJ6Y/6xCGZUXRVpnOD/QKvF+HG/HkqT+Lx7E8Z6vJf3oZPU+0pbx01ezIyLutJxMJrzsXEZp3NozlujjiogLyROSdQG/tDC4cI6cn6ivMpj8WRVlbFcv2VipVP+Vd+YYjMKNBQXVPsZyhvz05G4qtg7yVwl7rNx5NcuVXncRyQ+8oJL/YjIzX/b2XP+yIz2dOfjjnJYJZGIV1mRp1s+UscBsdqWRTH4ZYRi5VuVFI0+rMo3CudWb8ZLVr0aS47ylgkmL3EicyfiNojrIXyVc/pqfvqqRdRAU9zaMx2PCDJkAlUnK+hBJkoI8XvkbjUbJFarTxntbe+p4o7Uq0GuS8Xjc7/cL9Xxmh6GXMxqNuP+Wu1717VxTRVGkZ+L8wzv5KDx4J21cqFrlbWmcS4uC6srf59fv9/ntkvG3WYPbHoRN00H5JU8GnYMvssw/IQVtpBTYIyFFuWLzs9bdOaUN0TRWBh2NRpwdG6nxK9ZX8qT9Nx6PjeuLafQEXLGoNVBzZVvpJvd67rBpVlpLfP3I+Vxeviw3NykM5eam3N+X83nTQcFp2yQH5ttP7kjarun4w+GQv/IWEkXReDxWg1x0o9EoWYfobS+3VHoz7ibkn/lmvqn25W/pGFejEB6tKqUMgiB5oriokYZSVllaWtRaqruyLd1hSpmd+0bopY/SrNWNvKh4NoufeCLe3lbtgXgwiC9ciGezpkODu+JZHF+I48HdK3zxThw/Hse3vA940bfQ6ZEaagfrUBT1lEmCTAw2sW4xpA14sYahDi1tg1yMcSgZ241rfvoOZLvmZwy6scZp7KNf5EsrqoP8vfZKyS/nbqv7l1vdyIuK9/f1zHc3/+3tNR0anBLP4ngvjntxTHHci+NLHjOftCU/Y5ii0ZOZ/EKccTc675Ds+sse3GhNfmlh0Ol2pD74xThu9nZ9gKteoB6M0WA1EiT/ahSu76OfurSiOij5t3al/NQDxrQFfMU4OTWRdXqkVbGGUzOkTTRF9sESaduJiNbszKwaGUkRtuXys+o2rFiCk0KM++cmJ3PHWAsvuj3Ps5IPGd2neU6XkxOyBvxVwg6SH48B0x/SR2oh+bWLLfnxK0xLfmkPIflB+6nk13QgUJK/Srjq9GZqiDBp15CFEI2MheEj5jkuTyGY3L7+A4ttbyNBJDc3abGw7N/rCet2AIBVVin56eNQ9a9XUkqewqfmZhP3u+bZM4qiqW1A/3Q6XfPkl2Z7Wx4diYMDfZvc2aGzZ5uKCKA6NPsgjYOJra2NPL59p85b4kq8xa1jrztqd5cuXpSDgcp/cmeHXn2VDg+bjQugCnzAIU2l5Je28hYLw1BK6Tv/8cQT1mZchiq3664lsbUlDw/p2jXZ69HREfV6dPYsHR6KBx5oOjQAAPfK3+Q+mUzyTIggbUOZHSqR+YioxFPWntjaEleuiMWCJhOxWIirV5H5AGBdlU9+xsjdtOUuuWVW+ihL8SQIMvN2oqUlOI1o5Qn0FAHAuqs0vZnCcwJZV/xq88Q8PCqn3+/zJHLIggAAHeEm+dHJTAdG/sh/70GdVJDT6ZTXXeIxov1+v22hAgCADy7vRhBCGENg6rzDne+1zx6Dk7GnulVfj7bQaJ11ux0eAMCPNlStzlp+RBQEgTEhOqWv2dEgHoZq5MgwDLn9ZzT+8s8UV+MrAKgJXxpQvM4CsfTmKN7BWALJusVtYFym124h62o+fML9HVQZjUY13xPShnrVZfIzOjnb2eeZgf/8uPIHK2Fa4/cttQ4DL0+dp6Isl4TUJBW8upDxaPITmq2vHc8AACAASURBVLxnycfnl9dj8lqVqTPMrYXhcMi/1lZ/lh4Av8KjJfJn4PxZWv2cPTu7W8Zk8yWot53a4vz8AFQ0i+P9ON6IY4rjjTjei+NZ7HFVh+R6OkuXHGJpyxvlP671s2zEQyf50thS+rhWVOO6CsZ6RvWo8sfyHa2/Sthly4+0YS9tbvZxT07y28qqfn+BzphL+TTRbaKFECTEQogjootE8xpbgXyBQB/FrbpGVVtNTfnLjT/uLOXd1A6qZ0/VEqrbk0ePT6fTZNsxuTZCspLRw0j2Hxo9t3pfK/9sRMWP6qPhkq+XN/IdX8mXzKXphWec3jR6/7O+4IN+FOPkpPWdWvdXjLpR/aoXqF5Cxskx4tRPDp3u5i1xNtxwnk7p5LuY8+9f2TJafvrimfLka05yz+QJ8XF+AErbj+PtOD5ZyPbOv0Ec73lr/FlXUjVWiw2CgD9f+s7Jn3k3ebrtqHe38Hb1lLTPMmlr4/E+1hL0PZNH1F+gvkqtXo5q3Ro/00kvpbEaLZ10V6qXrP9M2pq3Ge1ma8svWZpxYmWiAtT/LnrNpsev9jf+oPrR1a9GgdbVjFWc1pOj3gBpRVn5q4Tdl6tGuNTccs84j8lkrP8xVD978k2J5Ac+UOl/icy3ZHuOf9myk5+ebO68tNOrtloLMT6M6tE8yU9qta36Qe2sH1T/vqvvrAep/2wc0ZoPMl5v8kUZ6/1OtJXZM6p7a/JLJiT1wvV4VHhGgldlGvFb989IfuoE6uc2++Sov5RR/VqLsvJXCTuY2NqgejzaPKXsZDLp9/vGjfmNLMPUOtwJgbGrLZTdtyll2krF/lg7Ho2FW5mx3Ir+lNFoZJ0fI41+kxIfSJWgr+uiRsewZOSq/5P35Lt+9T7Y5KHTNnIJyd5F/YfS9WFy5Vv9DOgnVn/J1u1GyTzuPWcY3NfNL9Y6HImlVaFG/HmK8s3xNT+mMnadrDcwMJ4CTX+Id+Y2n+qpQOaDeshy/4TYSCmwRySFKFdsCRlXx9NWSnFYwfEVQT1v6ZW7cQWRk6Lx0R4Oh/wFPYqitHuxwjDMc5tWnhuL10MURdy2G4/H/X4/+QdNnoe0N8PSomriqUW5Hrp4fvL0hUFD9uJ4kOjh3InjS/Ve86OU62e8Rf2gHuJ5lJJPN/bM2e2pLmIlL2TowVBi5Lbxq9FNZ+xQomdPf3ryJesPVe/25BJydnuqEpLdntnX/Canr5uqJ+bsE1bnMHlurUVZ+auEvbT8AMCHXaKbRAOtrt+R8lWiXc/HVZ2H6u49fTi3fmtvnrl8VcOL8V10+YMxuhNVmdawjR+UIAh4mqe0qKyTHRodmHWOaTf6Y623NqpXZASmwla9xKpM6+19qkD9KBmzP+ods/rJSevNbstEkp6S6nro4vlBy6/dZnG8F8e9OKY47sXxpTi+5f8+P50xKEy1w5jRaOBPkNEMMoo1Bobwz2lDsvWnJ8NIjlhRh9AHTErbTb3JF6u2W1+X8XrJZ8vPOKg+ujItZuPbQHb8evNLfyL/rO9jjUH9mhYn2dr6yd2syFsl7HJuz/UjRPfODwa8rIhIyrDBe6ROSw7KSNto7JD9aPbTiwaWfbhCx3USW1HJg3JjTi0bl3YdLv/2pY/m+UPnPDk5d/NXCXevci8CyQ8AWkslv6YD8chfJez+Voc1Y52AoHMZEQDAs5pne+ley6YItPwAoLVyduSuNHR7NgPJDwCgQf4qYdzqAAAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYOJrZfAxNYAADWoeWJrJL8lkOcAAGpgrWz9ZUR0ewIAQOcg+QEAQOcg+QEAQOcg+QEAQOcg+QEAQOcg+QEAQOcg+QEAQOcg+QEAQOcg+QEAQOcg+QEAQOcg+QEAQOcg+QEAQOdgYuslsKoDAEANsKpDuyDPAQDUAKs6AAAA+IXkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYOJrZfAqg4AADXAqg7tgjwHAFADrOoAAADgF5IfAAB0DpIfmCShpxcA1hySH9wh51Jelpz55KaU+1LOkQUBYD0h+QERkZxLeproNgkSgoRYCDoiukjIfwCwlpD8ThmNRqPRqOkomnCd6DyJ5+8OrBIHgh4kutZcSAAA3ggM5dcJIYIgiKJI/bpu5ydl2LAkKWyPpW3nxwAAvPJXCaPld1cYhk2H0IzsES4Y/wIA6wfJj0ajURiGQojpdNp0LP5Jyz8hBW2k7N8jIYX1WQAAqwszvFAURZ1Ie9m2SR5JcXCqh1PuSDrbVEAAAB6h5UdRFEkppZSTyaTpWJqzS3ST5OBug07uSHqVaLfBmAAAfEHyAyIisSXokKhHkqQkKXuSzhIdknig1qlmAQDqgW7PJfJPq7rq40LFlqArRFdJkhQL5DwA8KXmBRyskPyWWPWUVkLqvQ0AAC7kr1exqgMAAIAzSH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5SH4AANA5a7dkj1NruKTRUnxTTcdeNAC0E5Y0AgAAcAbJDwAAOgfJDwAAOgfJDwAAOgcTWy9hnVa1c6NgAAA8q3mpByS/JZDnAABqYK1ssaoDAACAM0h+AADQOUh+AADQOUh+AADQOUh+AADQOUh+AADQOUh+AADQOUh+AADQOUh+AADQOUh+AADQOUh+0AnTKaapA4C7kPyWEDZNBwV5zefy8mW5uSnDkDY35f6+nM+RBQHaqObKFslvCWnTdFCQy3wun36abt+mxUIQicVCHB3RxYuE/AfQQjVXtkh+4EUbmsjXr9P58/T883fDODgQDz5I1641GBQAtIJAOyaDEN07P5wpKr9oznz1nL30JCtPXk/O7dS1vzZAy/mrhNHyg/YSgoQo/b7PfiKyHECnIflBG/FAFUkU0/KBKlJa/4mNjbv7PKZlu16PpBTWZwFAR2Ald2id+VzuPyX/zeJOvnplQV/7otz7Kl19gba2ClxH3N4mei2+95NiQLRBtCD5PNF3npLxT2K8LkDXoeUHrfPJq/K3X6G/e1kIEoLE/SReeVlceoVeuFKsafabH5a/+gV69CF5P4kzJO4n8S8ekr/6R/SbHy7ZxMPNggBrA8kPmnQnv53+F1+jP70ldrQxKbskvnRL0HX7/mkDXn7y0+LnHqfgm3ff5ME3z/zMBTr36WItP3Wz4H8OpZObBZFEARrXvdGMRWC0Z/lico72tKUhSVLYHkjbnqZMOYl4VR/s+18WG0QLoq89LD+1QVdfEIX6YLmo69fp4IAWC9rYoO1t2t0t1pFrmE5lEKALF9YZRntCV8jMxJv9qI9yVB+s6jst1wfr8I57t9PWoBkK3YTkB42S5j8hxffusVfH37tHCimST7H+E1LQhrUYoh5ZyxG2blhXfbD6Hfc89LTcHfd6En2MqHQSdT7xG5IorBYkP7iDa0P+udlpMP/h39Fnz8fGxhfPx//wGwUL2iY5MF+C3JG0bd/dmkYv06nMx3ZJ7JNIy7zWjHjlCr34PH2M5BskI6I3SD5L8jMHdPVq4ST6C/fLredJlbN1QP/0R2WhJOoqg1Jbm6HIxLAUkh8QabUha3YazPv2xC9v/eDPf2Kutnz5J2b/8r0/uG+/4PWtXaKbp/Kf3JH0KtFu3gJc9Z0SyXMk/4Bok0h1n/aIDonO3cmYFtaM+IdX5KOfEkY5j35SvHBV1pxBqX3NUGRiyA/Jb4mOrOrgcBrM+Xx++fJl/nlzc3N/f38+n2c/JeG1d91z8f3n/urk1vPbj5z75rvuuUjitUKliC0hx9+SfxHFYiEpjsVC/u9Ijr8lHkgf7eKiD9Z6x/1v3UO3iIzu05tEv3WP/Y77FHKH7OXs3nkBiZPgIoOuRDPU1VVVZOKm1F3ZWifSBrZ+5yf9KlnMP3Ddm9ye/Gc1m82eeOKJ7e27HYuDweDChQuz2Sx/kPH+fry9zXkkpvhOHINBvLdX6MXGs1n8xBNcVEwfvFPIhQtxkWAWv3704ru+ZeSmz7zrW7efOrI/IWXCmZjiQttdlWP9W3+Mjq8l9n+O4mfpOOMvnvx3jo4/S7Fe1HMUf47ic3Sc/z2zvx9f+sjxxyh+g+Jjit+g+FmK9z56vLcXF/pz7+/H29t3gn/s5FUMBnGhck7eMrEq5OQtUywYh+Xs78cbGzFRvLER7+0VLsFtOSyKyj+3aDn+KuF1q9zd6kzyizOTn702tNrf39czn8p/e2l5KyMP596eFo2WRLVCCibR492Pv33ur79MX1f1+5/R198+9zfHOx9PeUX2zJSRtPLnP4flFM3E/pJo0Qya/i8+R7GRRM8VfgM7y8TVy0Emlj4r4e7dx1ZEd+7z29yUi4UgIn61qq+h17uz3eCwO0Lafk1biyHtobSSi63pkHrQc0S7RANJPUFHRM8TXSN6LX0xCct7Rm5KYTuTsmffnuZ4I37HkeVqxfF9tu0pt1ESUdodkGkPWcmCd1Jaw/kYyc3EqKJrJI9I/g6J3H8rvqoq9D7hayQfJLpI8vXc5ZyjOL2QAheJSpSTfNdcvizjmTz7KTU/Hz1P9O2PSnqvuHKlwHvGSTncq8wXRx4j+SckBgN58yYdHha7V7VoOf4q4a5U7uV0J/nt78ujIzo4EHqC2dmRZ8/S1auek1/iDMvNTbFYWPbs9azbrZeknCRRY09JHxT0peWFWJPfvpSvfefMJ8/qG+Onvi1+8l5hO8OpIe3Lb//ft+/77/fqG9/6te+c/cc/kr+cYhmU/CbRohmUH0v6xLvid//AkkS/f4/8T983X1TK+9dZJnZSDjIxIfk1pTvJbz6XFy/Sgw/S9QNBRIJoZ0e++iodHtIDacNDbDY3Nxe2/NTr9azbreT+Ph0diYODUxt3dujsWXH1av5gCidRb4UQUfz11+lDc/rx7575Znhny0MR/b8fof/53jP/7FzN5TjJoLTizVB/hZQrJ7EVmfjkBfipgzHaE4iItrbE4SH1end+7fXk2bOFMx8RbW9vDwYDY+POzk7yQmCW3V26eVNq5cidHXr1VdrNfY/CSTQyEYzc2aFCwTgphEh8+jn6lf8hvvllSbclxZJui2/+OV34H+LTv19/OfLD37r3S38dPxSpLfFD0b3R38gPf6tQMGcG4q1//R1j41u/9p0zA3uiS/4TUsQ9e90W35cyntb6itIeyPGo20JKl5M8N5n3mKbeZuqknGR0RYcZp716R+W44Ola4nro4vmhSqOgZrPZhQsX9Py3s7Pz+OOP37p1q1A58WwW7+3xWIW414svXYoLlnCnkAsX4sHg7oiInZ348ccLFVW4kJQ6KD718wet23MN6ihajvVF7e8ff+RSTM/G9GZMxzG9GdPHjz+6V3Q87fHXXjv+sa8ePzRRY1WOH5oc/+jXjr/6WoFCdhdH5/7YGDVzdO6LxzuLQsHEGymjeHoFBmX8sHdsLeSH9x0XCqZwOes4SMpZOX6g5QcubW1tHR4e9k6akL1e7+zZs4eHhw888EChcsTWlroCIBYLcfWqKFgCF0KHh9TryV5PEslej86epcPDQkU5KcT4QqsuHFofdVxOynwzZz71XwT9jqD7ifqC7hd0+cwnrxadb8ZRc/b6ve/8R5Lu3hso6bl733GO6HqRQkg++VZ8/nPGxvj8i/LJt/IXIj7y7bfO/S9j41vn/lh85NuFginWJiZHbWJvbetm28S++Mqqa6GL58fRV622vbviyaTZQuKNDXtLrtfzWE5K2zHjZpJCLVEnzdmYKKZzRjM0pvcWvbPlePfjx+f/MqbntMbE7x8/8FepN6V4K0S2rE3spJym2sT+qhG0/KATRBg2XIija4fFyrH1IQkpaSNlzu9ezzLZzMlXGbPs07+Wa87KO8993WiGCnotqxBb21RcuyxuPU50pJqhRN8Ws8fF9cupzVknhVgDbFOb2Ek5rtrErspxwFNSXQ9dPD9r2vJrnJMLkK7Kiff29BLulnPpUrFgXDRnCxeSo81qNENztkSdFNJwm9hb29pZm7hgOf6qEVRPWTpYfaf3KhUtB8nPdGcUT69XZRSPk3KcZWIXSXTtM3HOhzxlYqflNJCJkfya0cHqG8mvBk4uQFYsx0kmbmY8bVo5yMSuymlTJvZXjeCa3xIdWdUB6uTkAmTFcu6Mp10saDJZg/G0RI5uD13He0wLl7PsOvGp67tp14lzXG82yjlDd2651/955CmprocOnh+0/KCcxsfTSofN2TVrE7fqOnHBcvxVI6iesnSw+kbyq0EURU2HsOaQiZ2X01Qm9leNdGXuynK6M7enwn261V80dw635Oy1JJj5fH79+vWDg4PFYrGxsbG9vb27u7u1tdVsVOCbjKLqHd1OCqlYjpzP6do1OjigoyPq9Wh7m3Z3S/SWFyoHE1s3A8mvQkFEdHLBunwwVZMW55srV64QUbP5Zj6fP/300+fPn3/++ed5y2AwuHnz5uHhIfIfrJY6M7G/ShgDXmBtcb65ffs2/7pYLI6Oji5evDifz+sP5vr163rmI6KDg4MHH3zw2rVrGc8CaKE2jNhycPT1aNlEURRFERGFYRjmOKFRFI1Go+T2MAz17Wj5VSiIiBpu+V2+fPn27dt6viGiwWDQ6/W4LVjUdDoNgiB7H68rHQJ0Dbo9sySrm6UvajQajcdj60P6c5H8KhRERDUlv1z55rHH6E/+ZOle1mPdvVb3C7+w8Vd/ld13Wmfyy5OMAVYauj1TcTsvCILJZDKZTLguyFkBDYfDSYLXaLtAzufy8uU7P29uyv19WbqbUUqK40rRnDtHH/sYvfEGRRG98QY9+yydK7ByLBHN5/On9ve/8Nhji1deoShavPLKF4Pgqb29tL7TtKFlGynTafbSb1jOCOny5cubm5thGG5ubu7v71fpyJ1Op6WfC7DCKo4WbZbKVfpG3jLJHKbMOXJp+at+fkqoeKtDPJvFTzwRb2+fLNBF8WAQX7gQz2aFypnF8X7My43FG3G8F8ezuMCqbOy+n/1Z+uxn6dq1u7fZPvccfe5zZ3/mZ/IXsvvxj5//xjeMQs7/5V/uPPtsoWD29vbuLnP42GP8/52dnUsFb5OazWZPPPGEvjjwYDC4cOHCrOgZns329/c5JW9sbOzt7RUtweDk/g3cBAIGf5Xwarf8+PrccDjUN/Kv1kt6Cr7t+nL9+uv3/PPo+Sd5aa7b9MPo4MnX3/0oFRnWMZfy17/3vS989as8a/5CiC9+5StPfe9784K9Hw8999xDZ8/Szs7dTbu7D91770MpwVhn87kWx7f+9E+NQm596UvXU/ZP63XY3d39P2+99b4/+iPVDH3f5z//10dHuwWnDjk1cOaxx6jUwBk1FGixWFC1oUBOmqFu27IAuXhKqvXgl5Bs5C19afoOGW3EVT8/JeRt+aXM3Ten932FvhXRX6oZjSb0ja/S38/pfakz/iX8+8Xi/Gc/a0yMdP7FF3cX9uXHUqdTiuNi2x0VYjWL4196++2Hv/xltdvDf/Zn/bffTmvRZn1oVV/u8fHSvlxr4fv7+3fbjifN0MFgsFdwJfdTzdDHHqNSzVAnhRjQgvSqztPrrxJe7co97eOdM/kZgwWsSdRhtCuhSvKLiW7Qn+iZT+W/G/Sn9llrvSatjHJyFlWqEKv9ON5O7D+I472iye/cOWtfbtFrmYUyaNoHYX9//yOXLhnlfHRvr1ASdVIIc9uX26oM2oZgnHeV54HkZ1cu+emjWoIgGA6HKgsOh0OjHOcxt1zu5Gf/F1NcaLvXfLORsnOvyOXDe95+21rIPW+/XeTEOGtB3vN7v3cq853kv3t+7/cswdSQQauXU7wQ65lx1YK8W8U/9ljjV0Pbc2nW1cXmotL+3A5K9lRuPdI+CRmfEHmS/IIgSG40nlXgA7wuabJK8uMBKkUfspzKN96w54M33yx08vfieJBILTtxfKlI8ttdLM6/+KJRyPnPfGZQqA/WSTO0VBK1KpRBZcYH4WMfs5ZDzz5b4JNTvBBrkE5akLPZrP+RjzzMl2aPj+mNNx7+/Of7Tz5ZooqvnkQddghXD8ZVVzkzyslWovxcMXgqtx5pp6bcKeP2n97483feW6viaM836dhaZ9+m4/yF3POJT9Bzz5ll/P7v3/OJTxQKZhbHF07nv504fjyObxVJfrM47ieu1YVvv12oEFm8Geo3iTrpWHZVTolCrAq2IK2n3dXgXidJ1FWHcNFgUrOQi65yKeXXXnvtAzduiDffpONj8eabj9y48bXXXkvb2V8lvNqjPd3iWwZ5phgo5y8eoeinf2BsjP7JD15+f4FC/u33v3/+gx88NUD0uefOh+FvfP/7hYLZEuKQqEfU4zQj5VmiQ6IHityHviXEC+9+96888khPSorjnpT/6gMfeOHd7y5UCBFtEw0S1cqOlGkrs9kHBwlhv1uQqEckhTAvqdqLzuzSyH7UeTmugiGinR26dcsYl0s3b6Ytxed1cO/VT37yld/+7Zf/7u/o/vvpzBm6//6XX3nllUuXrrzwQv5grvzhH37q0Udpc1MVQr3eJx999OoLL3gNxu7cOfqDPzCCocPDol3lX3/99Q/NZkdnzsjNTTpzRm5ufluID83nX3/99ULlOOApqdaDX0KJ0Z5WfI9Ex1t+Fb32teOv/tjx5KG77b/Jzx9/9UeP518p0PKbzWb9J598+POfpzffpONjevPNh7/wheDJJ2+VWsyFTYrfJui2ECfNUOmoL9fJ1VApZe+HP7SWc98Pf+ivkNVohjbUIeyqnORpL9pVnuYDN278XBQZ5Tw0mTxy44b9z41uT6tkulIbjUt6Ou7eTKZMdHs68drXjm88cszv6dt0fOP9xTIfm81me3t7REQf/GCv17t06VKVzNcSszjei+NeHFMc9+L4UvHMJx0lUScZlMv56FtvGeU8dXRUqJyihaQmp4YG9zpLop4KWf1gPFn5uSuT0z/ylslkoma4Vj2ZvIUn9gyCwOjhtBa16uenKS6m9mzLOnzORVKGFaYAnUt5jeiA6IioR7RNtFuwL3cu5UWiB4kOTp61I+WrxfuEnZTjKpiN4+Ojd7wjuf2+lO1W7/rud3/wnvckt9/z3e9+37bdHh+/Y63BZzzko5C1CMbX599bWq0JN9eMuT2N16X2UVt4H/UsNUcMbnVwxclXtvV4i/pTsRu2ejPUVTlOCnHSDC06uDdN0TtkrJz0KrsKxlVXuXjzTXsL7/Zt6/7+aoB1qFmSE9tbd9CTn3UCayPzSSS/CpD8VoWTq6Guymn8qqqrwb1OkqiTdO4wGCdd5Y/cuPHQZGKU8/OTyftrv+a3Jt16Rdfzy/ksdHuWdqe/str6Puva7QmeVO8QPlWIlD0hShfy1Pe+t/jGN17+wAd4y8Nf/nLvF3+x0Dhhh73T7Qnm66+//qH5/Me/+91vnlS5Px9Ff/+e93zuve99/3vfm9zfXyWMyj0Lkl8JcymvE/FasRsnFdBWqSyI5AflVLyq6qQQV0m0ejpvWzBff/31//C3f/uVhx+m++6jt956/8sv/7ef/mlr5iMkv6Yg+RU1l/JpovNEz598JAZS3iQ6LJv/AFZdGzJxO4P5ry+//B8ffjh7HyS/ZiD5FXVZytta5mMDKXtEV5D8AKAgJL9mIPmlSc1jUqaOY05Jfji/AJDGXyWM6c3Anez3KL5GAEBrvLPpANrOOl0emoP21y/EppQL2yM9ogW6PQEgXdrcpJ4g+S2BPFfINtGRlAen38Q7Up5tKiAAWBHWytZfRkS3J7i0S3Tz9PIFfDOQfV59AICGIPmBS2oVoTtTH5VaRQgAwDeMZsyC0Z6lOZnhBQA6DqM9YQUh8wFAWyH5AQBA5yD5AQBA5yD5AQBA5+A+P/ACw4QAoM3Q8gMAgM5B8gMAgM5B8gMAgM5B8gMAgM7BgJclsKoDAEANsKpDuyDPAQDUAKs6AAAA+IXkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYPkBwAAnYO5PZfAxNYAADXAxNbtgjwHAFADTGwNAADgF5IfAAB0DpIfAAB0DpIfAAB0DpIfAAB0DpIfAAB0DpIfAAB0DpIfAAB0DpIfAAB0DpIfAAB0DpIfAAB0DpIfAAB0Dia2XgKrOgAA1ACrOrQL8hwAQA2wqgMAAIBfSH4ro7Y+gWmOxm7NHRTZEEwaBJOmVcFQy+JpVTD+IPnBHXMpL0u5KWVItCnlvpRzdPkCwJpC8gMiormUTxPdJloIQUIshDgiukiE/AcAa0l0eUDHjRs3ptMpEQVB8Eu/9EvJHYRo0fnxGsxlKW8TPX+6u2MgZY/oiq0PpDtnpigEkwbBZGhVPB0JpkUvsmbJfu3kqVi/N0FqX76UZO3oT9tO1Jbzso5/JlcQTJpWBUMti6cjwXS02zMMQyIKguCll1566aWXgiCggpd5s3fOeLT0E30Ec0f2e6vgO69VZ6b0ERGMjyciGATjMJiKWpTha3Pjxo1f/uVfptNNPf4DvPTSS3r/Z8aXjuzvIzU/sXqZm1IubG/BXsr2VTkzpZ+IYNb7VbQqmNJP7HgwFXWx5fe7v/u7RPTMM8/oG/lXfqiDtokGyXfYc89tNxEMAIBvXUx+apCLvnE8HquHOmiX6Obp/LcjJf3UT+02FxIAgD9dTH7MOryzs7aEOCTqEfWkJCl7Up4loosXH+jG7a4A0DXdTX5g2BLiihALISZECyGuCkGvvdZ0UAAAXnRxwAuPbbHe2EC2UTAAANAUT0kKqzpk6eA3AwCALkC3JwAAdE53k9+NGzeaDgEAAJrRxeTHt/QZdzUMh0NK3P8AAABrqYsDXih9bIua4SWKoiiKiCgMQ54LrR5Vz24o5AAABtlJREFUjhtF0Wg04qc3EkZ0IjxRPZKKwfDPjQejC8NwNBo5iadoMPwOSQup5mCqP9FVmdmfmgZPjv4erh5DO4PJiY/o+Liyk7iFZ8ztqc5GU2ep4nH5VTQVRrLRHARBI8FMJpPks5oKxsBnaTgcNhIMd29Y1R+MtP2lGvkzLe3vqTmetKgafA8ng3HyHs7P1cs/Vabb4lZI8s+pbw+CYDKZTCYTIy/6jqf0cVW91kgYarfJZCJPV2r1B6NqCg5GnZmKH9fqbwxXkZQOhgMYDoeThPqDUW8SFY+TKr5EMMmzoT+3kbeN/oHST04jwegfqMlkot7GFd82+amw3Rbb3eQnpXzppZeeeeaZZ5555qWXXuIt6k2m71bDX7r0cfV3cPVkUy4M67PyPNFfMMbnJC1C38FYS6hehZUOxlXfgMNgjH0a/zM5DKZKPMlnNfUetn6rtn7KnBsOh3rlhuTnl/W7nhoL08LjJjuy6g8jbQfVzqg/mORBK56c6m8MlfaqJ7/SwVR/h/gOhhsW9QeTVlTpSKrEk5ZaGnkPW7+jVA8mD+NrPZKfX2nfg3z/pZ0ct3qQ5cLgz0/yWRUr+nLBpNWeFU9OxT+QqkGcJL/Sweg7uOrJqPKecX7dyNXnl9NP9fBKv4etOzTyHk57VlpS9MFTQxPJ75S090E9ya/icV0lP1clp31s6g+m+sWbKsHoFb3D5FciGN7B+EJdsf4qF4xxToIgCILAVbIpGkz1/Z3HY1zlcnLNr1wwaUnOyQXRnJD86oDk5zbfVImnejB6Ld9UvjH2aTD56RcdOdOo89NUlWqk4Za8gR22SqvEkzw5jbxtrP2irgbg5ITkVweHtX/9x21J3TFxNNSzejAOhwKVDsbYofHk53woULlg9D/N5GSEcBu+MBXd2VM8xjcV41zVHIwKwxjtWf2dnJOn5NfFGV7AnzAM+/0+nXwqmg0miiJ+l/PHtf41Ovie3Iy76+oUhqGU0ribOwxDrlvrv22ZSSn5PuswDFVsTiZqKKcNf7IoivhDxKmO38YcEm+vGeee6XTa7/f7/f54POZu6vojccxtLl11aefE97lyctzqQVYJQ9UXrr6guf1bVLw+Xy4YfnSoUd19/GudwaSpOJi5XDBpV4ycDJIqGky5Pf3Fk3ZyKl5mq3hyuM03HA75Q4QBL+uG3wcY7Vm0ZJX5HH4YygWTllQaGXpKy9QZTJpGzkzaQZ1k4tJnxnklW+VtkzZ8uqmT4+RZ5aDbsw789jJ6XbgnxGszv6njugpjPB6T1oXVYDBRFI3H42S/mZrMsM5gJgmq5ce/1hlMGIZCiLQzU1rpYKyHbuTPZOzpsAe4XDzZodZ8cniq3gY7oj1ym0vXQPK08BbfDfw8x1V1aM4S6gnD0z1bVYJxfoNwuWCSXJ2rNTgz1o9Vs38mH1Wi879UlYqoRDAT25CoOu9zkOj2rI3x3bz6CDSHxzXu/jE4ibNEGNlfVKt8QsqdE94nOTit4me1+h9Iukt+a3Bm9KM3Hox0MfDVYTz6x0c/ORUTQLlgmqoSFSS/+iRr85Yct4bkVyIMyuSkLit0Tia27kQn31Ir/oGk01byGpyZ5KDKxoNxXsOWjif5LCexuQqmeiT5eUp+HV3Pbykfa4y1+bjtDKNKMJ5eAs6M82L5slNLgvGk9F+KTq66NX5y2nZKq0PyAwCAzsFoTwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAA6BwkPwAAqNVoNBqNRnk2+vPO2o4EAABARFEUTadTIlLZLoqi8XgcBEFtMQgpZW0HAwAAICIhBBFNJpMwDNWvdeYjdHsCAEDdJpMJEfX7fSLi/MdbaoPkBwAAdQvDcDgc8g/T6TQIAk6BtUG3JwAANIN7O6neDk+Glh8AADSjzhEuBiQ/AABowGg04jGfpA37rA26PQEAoAFqhKcx8pOIoijyfQkQLT8AAKibSnh0euQn6/f7URR5DQDJDwAAasWdnGqEZxiGfPFPdX7qrUBP0O0JAAD1iaKIG3lG9tE7P2vo9kTyAwCAdhFC+G78odsTAAA6B8kPAAA6B8kPAAA6B8kPAAA6B8kPAAA6B8kPAAA6B8kPAAA6B8kPAAA6B8kPAABaRAhRw9q2mOEFAAA6By0/AADoHCQ/AADoHCQ/AADoHCQ/AADoHCQ/AADoHCQ/AADoHCQ/AADoHCQ/AADoHCQ/AADoHCQ/AADoHCQ/AADonP8PQeKOtD9zi0sAAAAASUVORK5CYII=\n",
0529 "text/plain": [
0530 "<IPython.core.display.Image object>"
0531 ]
0532 },
0533 "metadata": {},
0534 "output_type": "display_data"
0535 }
0536 ],
0537 "source": [
0538 "canvas = ROOT.TCanvas(\"canvas\",\"\",600,500)\n",
0539 "leg = ROOT.TLegend(.48,.56,.92,.84)\n",
0540 "leg.AddEntry(\"\",\"#bf{Transverse Region}\",\"\")\n",
0541 "leg.AddEntry(h_ue_xj_transverse,\"Jet Trig. Data Topoclusters\",\"pl\")\n",
0542 "leg.AddEntry(h_mc_ue_xj_transverse,\"Waveform Topoclusters\",\"pl\")\n",
0543 "leg.AddEntry(h_clus_ue_xj_transverse,\"Cluster Topoclusters\",\"pl\")\n",
0544 "leg.AddEntry(h_nz_ue_xj_transverse,\"No ZS Topoclusters\",\"pl\")\n",
0545 "leg.AddEntry(h_dt_ue_xj_transverse,\"Detroit Waveform Topoclusters\",\"pl\")\n",
0546 "h_mc_ue_xj_transverse.SetStats(0)\n",
0547 "h_clus_ue_xj_transverse.SetStats(0)\n",
0548 "h_nz_ue_xj_transverse.SetStats(0)\n",
0549 "h_ue_xj_transverse.SetStats(0)\n",
0550 "h_dt_ue_xj_transverse.SetStats(0)\n",
0551 "h_mc_ue_xj_transverse.SetLineColor(2)\n",
0552 "h_mc_ue_xj_transverse.SetMarkerColor(2)\n",
0553 "h_clus_ue_xj_transverse.SetLineColor(4)\n",
0554 "h_clus_ue_xj_transverse.SetMarkerColor(4)\n",
0555 "h_nz_ue_xj_transverse.SetLineColor(6)\n",
0556 "h_nz_ue_xj_transverse.SetMarkerColor(6)\n",
0557 "h_ue_xj_transverse.SetLineColor(1)\n",
0558 "h_ue_xj_transverse.SetMarkerColor(1)\n",
0559 "h_dt_ue_xj_transverse.SetLineColor(7)\n",
0560 "h_dt_ue_xj_transverse.SetMarkerColor(7)\n",
0561 "h_mc_ue_xj_transverse.SetMarkerStyle(20)\n",
0562 "h_clus_ue_xj_transverse.SetMarkerStyle(20)\n",
0563 "h_nz_ue_xj_transverse.SetMarkerStyle(20)\n",
0564 "h_ue_xj_transverse.SetMarkerStyle(20)\n",
0565 "h_dt_ue_xj_transverse.SetMarkerStyle(20)\n",
0566 "h_mc_ue_xj_transverse.GetYaxis().SetRangeUser(0,2.7)\n",
0567 "h_mc_ue_xj_transverse.Draw()\n",
0568 "h_ue_xj_transverse.Draw('same')\n",
0569 "h_clus_ue_xj_transverse.Draw('same')\n",
0570 "h_nz_ue_xj_transverse.Draw('same')\n",
0571 "h_dt_ue_xj_transverse.Draw('same')\n",
0572 "h_mc_ue_xj_transverse.SetYTitle(\"<#SigmaE_{T}/#delta#eta#delta#phi> [GeV]\") \n",
0573 "h_mc_ue_xj_transverse.SetXTitle(\"x_{j}\")\n",
0574 "leg.SetTextSize(0.035)\n",
0575 "leg.Draw()\n",
0576 "canvas.Draw()\n",
0577 "canvas.SaveAs(\"/sphenix/u/egm2153/fall_2024/\"+direct+\"/h_ue_xj_transverse_Topoclusters.png\")"
0578 ]
0579 },
0580 {
0581 "cell_type": "code",
0582 "execution_count": 14,
0583 "id": "39dec2f7-3556-45b3-be50-3fb518c8a7ad",
0584 "metadata": {},
0585 "outputs": [
0586 {
0587 "name": "stderr",
0588 "output_type": "stream",
0589 "text": [
0590 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas\n",
0591 "Info in <TCanvas::Print>: png file /sphenix/u/egm2153/fall_2024/results_11_11/h_ue_xj_away_Topoclusters.png has been created\n"
0592 ]
0593 },
0594 {
0595 "data": {
0596 "image/png": "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\n",
0597 "text/plain": [
0598 "<IPython.core.display.Image object>"
0599 ]
0600 },
0601 "metadata": {},
0602 "output_type": "display_data"
0603 }
0604 ],
0605 "source": [
0606 "canvas = ROOT.TCanvas(\"canvas\",\"\",600,500)\n",
0607 "leg = ROOT.TLegend(.48,.64,.92,.92)\n",
0608 "leg.AddEntry(\"\",\"#bf{Away Region}\",\"\")\n",
0609 "leg.AddEntry(h_ue_xj_away,\"Jet Trig. Data Topoclusters\",\"pl\")\n",
0610 "leg.AddEntry(h_mc_ue_xj_away,\"Waveform Topoclusters\",\"pl\")\n",
0611 "leg.AddEntry(h_clus_ue_xj_away,\"Cluster Topoclusters\",\"pl\")\n",
0612 "leg.AddEntry(h_nz_ue_xj_away,\"No ZS Topoclusters\",\"pl\")\n",
0613 "leg.AddEntry(h_dt_ue_xj_away,\"Detroit Waveform Topoclusters\",\"pl\")\n",
0614 "h_mc_ue_xj_away.SetStats(0)\n",
0615 "h_clus_ue_xj_away.SetStats(0)\n",
0616 "h_nz_ue_xj_away.SetStats(0)\n",
0617 "h_ue_xj_away.SetStats(0)\n",
0618 "h_dt_ue_xj_away.SetStats(0)\n",
0619 "h_mc_ue_xj_away.SetLineColor(2)\n",
0620 "h_mc_ue_xj_away.SetMarkerColor(2)\n",
0621 "h_clus_ue_xj_away.SetLineColor(4)\n",
0622 "h_clus_ue_xj_away.SetMarkerColor(4)\n",
0623 "h_nz_ue_xj_away.SetLineColor(6)\n",
0624 "h_nz_ue_xj_away.SetMarkerColor(6)\n",
0625 "h_ue_xj_away.SetLineColor(1)\n",
0626 "h_ue_xj_away.SetMarkerColor(1)\n",
0627 "h_dt_ue_xj_away.SetLineColor(7)\n",
0628 "h_dt_ue_xj_away.SetMarkerColor(7)\n",
0629 "h_mc_ue_xj_away.SetMarkerStyle(20)\n",
0630 "h_clus_ue_xj_away.SetMarkerStyle(20)\n",
0631 "h_nz_ue_xj_away.SetMarkerStyle(20)\n",
0632 "h_ue_xj_away.SetMarkerStyle(20)\n",
0633 "h_dt_ue_xj_away.SetMarkerStyle(20)\n",
0634 "h_mc_ue_xj_away.GetYaxis().SetRangeUser(2,10)\n",
0635 "h_mc_ue_xj_away.Draw()\n",
0636 "h_ue_xj_away.Draw('same')\n",
0637 "h_clus_ue_xj_away.Draw('same')\n",
0638 "h_nz_ue_xj_away.Draw('same')\n",
0639 "h_dt_ue_xj_away.Draw('same')\n",
0640 "h_mc_ue_xj_away.SetYTitle(\"<#SigmaE_{T}/#delta#eta#delta#phi> [GeV]\") \n",
0641 "h_mc_ue_xj_away.SetXTitle(\"x_{j}\")\n",
0642 "leg.SetTextSize(0.035)\n",
0643 "leg.Draw()\n",
0644 "canvas.Draw()\n",
0645 "canvas.SaveAs(\"/sphenix/u/egm2153/fall_2024/\"+direct+\"/h_ue_xj_away_Topoclusters.png\")"
0646 ]
0647 },
0648 {
0649 "cell_type": "code",
0650 "execution_count": 26,
0651 "id": "d62f8dce-6c59-4c42-8e25-c493f35e6263",
0652 "metadata": {},
0653 "outputs": [
0654 {
0655 "name": "stderr",
0656 "output_type": "stream",
0657 "text": [
0658 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas\n"
0659 ]
0660 },
0661 {
0662 "data": {
0663 "image/png": "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\n",
0664 "text/plain": [
0665 "<IPython.core.display.Image object>"
0666 ]
0667 },
0668 "metadata": {},
0669 "output_type": "display_data"
0670 }
0671 ],
0672 "source": [
0673 "canvas = ROOT.TCanvas(\"canvas\",\"\",600,500)\n",
0674 "leg = ROOT.TLegend(.17,.65,.5,.92)\n",
0675 "leg.AddEntry(\"\",\"#bf{Towards Region}\",\"\")\n",
0676 "leg.AddEntry(h_ue_pt_towards,\"Jet Trig. Data Topoclusters\",\"pl\")\n",
0677 "leg.AddEntry(h_mc_ue_pt_towards,\"Waveform Topoclusters\",\"pl\")\n",
0678 "leg.AddEntry(h_clus_ue_pt_towards,\"Cluster Topoclusters\",\"pl\")\n",
0679 "leg.AddEntry(h_nz_ue_pt_towards,\"No ZS Topoclusters\",\"pl\")\n",
0680 "leg.AddEntry(h_dt_ue_pt_towards,\"Detroit Waveform Topoclusters\",\"pl\")\n",
0681 "h_mc_ue_pt_towards.SetStats(0)\n",
0682 "h_clus_ue_pt_towards.SetStats(0)\n",
0683 "h_nz_ue_pt_towards.SetStats(0)\n",
0684 "h_ue_pt_towards.SetStats(0)\n",
0685 "h_dt_ue_pt_towards.SetStats(0)\n",
0686 "h_mc_ue_pt_towards.SetLineColor(2)\n",
0687 "h_mc_ue_pt_towards.SetMarkerColor(2)\n",
0688 "h_clus_ue_pt_towards.SetLineColor(4)\n",
0689 "h_clus_ue_pt_towards.SetMarkerColor(4)\n",
0690 "h_nz_ue_pt_towards.SetLineColor(6)\n",
0691 "h_nz_ue_pt_towards.SetMarkerColor(6)\n",
0692 "h_ue_pt_towards.SetLineColor(1)\n",
0693 "h_ue_pt_towards.SetMarkerColor(1)\n",
0694 "h_dt_ue_pt_towards.SetLineColor(7)\n",
0695 "h_dt_ue_pt_towards.SetMarkerColor(7)\n",
0696 "h_mc_ue_pt_towards.SetMarkerStyle(20)\n",
0697 "h_clus_ue_pt_towards.SetMarkerStyle(20)\n",
0698 "h_nz_ue_pt_towards.SetMarkerStyle(20)\n",
0699 "h_ue_pt_towards.SetMarkerStyle(20)\n",
0700 "h_dt_ue_pt_towards.SetMarkerStyle(20)\n",
0701 "h_mc_ue_pt_towards.GetXaxis().SetRangeUser(10,50)\n",
0702 "h_mc_ue_pt_towards.GetYaxis().SetRangeUser(3,14)\n",
0703 "h_mc_ue_pt_towards.Draw()\n",
0704 "h_ue_pt_towards.Draw('same')\n",
0705 "h_clus_ue_pt_towards.Draw('same')\n",
0706 "h_nz_ue_pt_towards.Draw('same')\n",
0707 "h_dt_ue_pt_towards.Draw('same')\n",
0708 "h_mc_ue_pt_towards.SetYTitle(\"<#SigmaE_{T}/#delta#eta#delta#phi> [GeV]\") \n",
0709 "h_mc_ue_pt_towards.SetXTitle(\"p_{T}^{lead} [GeV]\")\n",
0710 "leg.SetTextSize(0.035)\n",
0711 "leg.Draw()\n",
0712 "canvas.Draw()\n",
0713 "#canvas.SaveAs(\"/sphenix/u/egm2153/fall_2024/\"+direct+\"/h_ue_pt_towards_Topoclusters.png\")"
0714 ]
0715 },
0716 {
0717 "cell_type": "code",
0718 "execution_count": 27,
0719 "id": "a49d3c71-9e4a-42d6-bc58-32ebaa6beac0",
0720 "metadata": {},
0721 "outputs": [
0722 {
0723 "name": "stderr",
0724 "output_type": "stream",
0725 "text": [
0726 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas\n"
0727 ]
0728 },
0729 {
0730 "data": {
0731 "image/png": "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\n",
0732 "text/plain": [
0733 "<IPython.core.display.Image object>"
0734 ]
0735 },
0736 "metadata": {},
0737 "output_type": "display_data"
0738 }
0739 ],
0740 "source": [
0741 "canvas = ROOT.TCanvas(\"canvas\",\"\",600,500)\n",
0742 "leg = ROOT.TLegend(.17,.55,.5,.82)\n",
0743 "leg.AddEntry(\"\",\"#bf{Transverse Region}\",\"\")\n",
0744 "leg.AddEntry(h_ue_pt_transverse,\"Jet Trig. Data Topoclusters\",\"pl\")\n",
0745 "leg.AddEntry(h_mc_ue_pt_transverse,\"Waveform Topoclusters\",\"pl\")\n",
0746 "leg.AddEntry(h_clus_ue_pt_transverse,\"Cluster Topoclusters\",\"pl\")\n",
0747 "leg.AddEntry(h_nz_ue_pt_transverse,\"No ZS Topoclusters\",\"pl\")\n",
0748 "leg.AddEntry(h_dt_ue_pt_transverse,\"Detroit Waveform Topoclusters\",\"pl\")\n",
0749 "h_mc_ue_pt_transverse.SetStats(0)\n",
0750 "h_clus_ue_pt_transverse.SetStats(0)\n",
0751 "h_nz_ue_pt_transverse.SetStats(0)\n",
0752 "h_ue_pt_transverse.SetStats(0)\n",
0753 "h_dt_ue_pt_transverse.SetStats(0)\n",
0754 "h_mc_ue_pt_transverse.SetLineColor(2)\n",
0755 "h_mc_ue_pt_transverse.SetMarkerColor(2)\n",
0756 "h_clus_ue_pt_transverse.SetLineColor(4)\n",
0757 "h_clus_ue_pt_transverse.SetMarkerColor(4)\n",
0758 "h_nz_ue_pt_transverse.SetLineColor(6)\n",
0759 "h_nz_ue_pt_transverse.SetMarkerColor(6)\n",
0760 "h_ue_pt_transverse.SetLineColor(1)\n",
0761 "h_ue_pt_transverse.SetMarkerColor(1)\n",
0762 "h_dt_ue_pt_transverse.SetLineColor(7)\n",
0763 "h_dt_ue_pt_transverse.SetMarkerColor(7)\n",
0764 "h_mc_ue_pt_transverse.SetMarkerStyle(20)\n",
0765 "h_clus_ue_pt_transverse.SetMarkerStyle(20)\n",
0766 "h_nz_ue_pt_transverse.SetMarkerStyle(20)\n",
0767 "h_ue_pt_transverse.SetMarkerStyle(20)\n",
0768 "h_dt_ue_pt_transverse.SetMarkerStyle(20)\n",
0769 "h_mc_ue_pt_transverse.GetXaxis().SetRangeUser(10,50)\n",
0770 "h_mc_ue_pt_transverse.GetYaxis().SetRangeUser(0.0,1.7)\n",
0771 "h_mc_ue_pt_transverse.Draw()\n",
0772 "h_ue_pt_transverse.Draw('same')\n",
0773 "h_clus_ue_pt_transverse.Draw('same')\n",
0774 "h_nz_ue_pt_transverse.Draw('same')\n",
0775 "h_dt_ue_pt_transverse.Draw('same')\n",
0776 "h_mc_ue_pt_transverse.SetYTitle(\"<#SigmaE_{T}/#delta#eta#delta#phi> [GeV]\") \n",
0777 "h_mc_ue_pt_transverse.SetXTitle(\"p_{T}^{lead} [GeV]\")\n",
0778 "leg.SetTextSize(0.035)\n",
0779 "leg.Draw()\n",
0780 "canvas.Draw()\n",
0781 "#canvas.SaveAs(\"/sphenix/u/egm2153/fall_2024/\"+direct+\"/h_ue_pt_transverse_Topoclusters.png\")"
0782 ]
0783 },
0784 {
0785 "cell_type": "code",
0786 "execution_count": 28,
0787 "id": "18d540fc-e8dc-4c36-9498-f0ae9595df9b",
0788 "metadata": {},
0789 "outputs": [
0790 {
0791 "name": "stderr",
0792 "output_type": "stream",
0793 "text": [
0794 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas\n",
0795 "Info in <TCanvas::Print>: png file /sphenix/u/egm2153/fall_2024/results_11_11/h_ue_pt_away_Topoclusters.png has been created\n"
0796 ]
0797 },
0798 {
0799 "data": {
0800 "image/png": "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\n",
0801 "text/plain": [
0802 "<IPython.core.display.Image object>"
0803 ]
0804 },
0805 "metadata": {},
0806 "output_type": "display_data"
0807 }
0808 ],
0809 "source": [
0810 "canvas = ROOT.TCanvas(\"canvas\",\"\",600,500)\n",
0811 "leg = ROOT.TLegend(.17,.65,.5,.92)\n",
0812 "leg.AddEntry(\"\",\"#bf{Away Region}\",\"\")\n",
0813 "leg.AddEntry(h_ue_pt_away,\"Jet Trig. Data Topoclusters\",\"pl\")\n",
0814 "leg.AddEntry(h_mc_ue_pt_away,\"Waveform Topoclusters\",\"pl\")\n",
0815 "leg.AddEntry(h_clus_ue_pt_away,\"Cluster Topoclusters\",\"pl\")\n",
0816 "leg.AddEntry(h_nz_ue_pt_away,\"No ZS Topoclusters\",\"pl\")\n",
0817 "leg.AddEntry(h_dt_ue_pt_away,\"Detroit Waveform Topoclusters\",\"pl\")\n",
0818 "h_mc_ue_pt_away.SetStats(0)\n",
0819 "h_clus_ue_pt_away.SetStats(0)\n",
0820 "h_nz_ue_pt_away.SetStats(0)\n",
0821 "h_ue_pt_away.SetStats(0)\n",
0822 "h_dt_ue_pt_away.SetStats(0)\n",
0823 "h_mc_ue_pt_away.SetLineColor(2)\n",
0824 "h_mc_ue_pt_away.SetMarkerColor(2)\n",
0825 "h_clus_ue_pt_away.SetLineColor(4)\n",
0826 "h_clus_ue_pt_away.SetMarkerColor(4)\n",
0827 "h_nz_ue_pt_away.SetLineColor(6)\n",
0828 "h_nz_ue_pt_away.SetMarkerColor(6)\n",
0829 "h_ue_pt_away.SetLineColor(1)\n",
0830 "h_ue_pt_away.SetMarkerColor(1)\n",
0831 "h_dt_ue_pt_away.SetLineColor(7)\n",
0832 "h_dt_ue_pt_away.SetMarkerColor(7)\n",
0833 "h_mc_ue_pt_away.SetMarkerStyle(20)\n",
0834 "h_clus_ue_pt_away.SetMarkerStyle(20)\n",
0835 "h_nz_ue_pt_away.SetMarkerStyle(20)\n",
0836 "h_ue_pt_away.SetMarkerStyle(20)\n",
0837 "h_dt_ue_pt_away.SetMarkerStyle(20)\n",
0838 "h_mc_ue_pt_away.GetXaxis().SetRangeUser(10,50)\n",
0839 "h_mc_ue_pt_away.GetYaxis().SetRangeUser(2.5,13)\n",
0840 "h_mc_ue_pt_away.Draw()\n",
0841 "h_ue_pt_away.Draw('same')\n",
0842 "h_clus_ue_pt_away.Draw('same')\n",
0843 "h_nz_ue_pt_away.Draw('same')\n",
0844 "h_dt_ue_pt_away.Draw('same')\n",
0845 "h_mc_ue_pt_away.SetYTitle(\"<#SigmaE_{T}/#delta#eta#delta#phi> [GeV]\") \n",
0846 "h_mc_ue_pt_away.SetXTitle(\"p_{T}^{lead} [GeV]\")\n",
0847 "leg.SetTextSize(0.035)\n",
0848 "leg.Draw()\n",
0849 "canvas.Draw()\n",
0850 "canvas.SaveAs(\"/sphenix/u/egm2153/fall_2024/\"+direct+\"/h_ue_pt_away_Topoclusters.png\")"
0851 ]
0852 },
0853 {
0854 "cell_type": "code",
0855 "execution_count": null,
0856 "id": "81a27968-596f-47ce-9d47-af2b3c22e024",
0857 "metadata": {},
0858 "outputs": [],
0859 "source": []
0860 },
0861 {
0862 "cell_type": "code",
0863 "execution_count": null,
0864 "id": "791b5f47-a6a5-4b08-842f-c7fd5e93bdb4",
0865 "metadata": {},
0866 "outputs": [],
0867 "source": []
0868 },
0869 {
0870 "cell_type": "code",
0871 "execution_count": null,
0872 "id": "59ae0a66-34d4-4a5c-9bce-4748fe721315",
0873 "metadata": {},
0874 "outputs": [],
0875 "source": []
0876 },
0877 {
0878 "cell_type": "code",
0879 "execution_count": null,
0880 "id": "8c520f5b-0c28-4f01-8e34-13a6d9a1ad40",
0881 "metadata": {},
0882 "outputs": [],
0883 "source": []
0884 }
0885 ],
0886 "metadata": {
0887 "kernelspec": {
0888 "display_name": "Python (sPHENIX)",
0889 "language": "python",
0890 "name": "sphenix-env"
0891 },
0892 "language_info": {
0893 "codemirror_mode": {
0894 "name": "ipython",
0895 "version": 3
0896 },
0897 "file_extension": ".py",
0898 "mimetype": "text/x-python",
0899 "name": "python",
0900 "nbconvert_exporter": "python",
0901 "pygments_lexer": "ipython3",
0902 "version": "3.10.8"
0903 }
0904 },
0905 "nbformat": 4,
0906 "nbformat_minor": 5
0907 }