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| 1 | +// Copyright 2019-2020 CERN and copyright holders of ALICE O2. |
| 2 | +// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders. |
| 3 | +// All rights not expressly granted are reserved. |
| 4 | +// |
| 5 | +// This software is distributed under the terms of the GNU General Public |
| 6 | +// License v3 (GPL Version 3), copied verbatim in the file "COPYING". |
| 7 | +// |
| 8 | +// In applying this license CERN does not waive the privileges and immunities |
| 9 | +// granted to it by virtue of its status as an Intergovernmental Organization |
| 10 | +// or submit itself to any jurisdiction. |
| 11 | + |
| 12 | +/// \file rsn_analysis.cxx |
| 13 | +/// \brief Analysis task for the measurement of resonances |
| 14 | +/// \author Nicola Rubini <nrubini@cern.ch> |
| 15 | + |
| 16 | +// O2 includes |
| 17 | +#include "Common/DataModel/EventSelection.h" |
| 18 | +#include "Common/DataModel/PIDResponse.h" |
| 19 | +#include "Common/DataModel/TrackSelectionTables.h" |
| 20 | +#include "Framework/AnalysisTask.h" |
| 21 | +#include "Framework/runDataProcessing.h" |
| 22 | +#include "TLorentzVector.h" |
| 23 | + |
| 24 | +using namespace std; |
| 25 | +using namespace o2; |
| 26 | +using namespace o2::framework; |
| 27 | + |
| 28 | +enum EventSelection { kNoSelection = 0, |
| 29 | + kTVXselection = 1, |
| 30 | + kVertexCut = 2 }; |
| 31 | + |
| 32 | +using kCollisionsTable = soa::Join<aod::Collisions, aod::EvSels>; |
| 33 | +using kTracksTable = |
| 34 | + soa::Join<aod::Tracks, aod::TracksExtra, aod::TrackSelection, |
| 35 | + aod::TracksDCA, aod::pidTOFFullKa, aod::pidTPCFullKa, |
| 36 | + aod::pidTOFFullPi, aod::pidTPCFullPi>; |
| 37 | + |
| 38 | +struct rsn_analysis { |
| 39 | + HistogramRegistry uHistograms{ |
| 40 | + "Histograms", |
| 41 | + {}, |
| 42 | + OutputObjHandlingPolicy::AnalysisObject}; |
| 43 | + // |
| 44 | + // Create Output Objects |
| 45 | + void init(o2::framework::InitContext&) |
| 46 | + { |
| 47 | + // Histogram is added to the ouput registry |
| 48 | + // |
| 49 | + // Event QA |
| 50 | + uHistograms.add("QA/Event/EnumEvents", |
| 51 | + "Event selection; ; " |
| 52 | + " Selected Events", |
| 53 | + kTH1F, {{10, 0, 10}}); |
| 54 | + uHistograms.add("QA/Event/VertexZ", |
| 55 | + "Event selection; " |
| 56 | + "Vertex Z (cm); Selected Events", |
| 57 | + kTH1F, {{4000, -20, 20}}); |
| 58 | + uHistograms.add("QA/Event/Selected/VertexZ", |
| 59 | + "Event selection; " |
| 60 | + "Vertex Z (cm); Selected Events", |
| 61 | + kTH1F, {{4000, -20, 20}}); |
| 62 | + // |
| 63 | + // Track QA |
| 64 | + uHistograms.add("QA/Track/Momentum", |
| 65 | + "Momentum distribution of selected Tracks; " |
| 66 | + "#it{p} (GeV/#it{c}); Selected Tracks", |
| 67 | + kTH1F, {{1000, 0, 20}}); |
| 68 | + uHistograms.add("QA/Track/TMomentum", |
| 69 | + "Transverse momentum distribution of selected Tracks; " |
| 70 | + "#it{p}_{T} (GeV/#it{c}); Selected Tracks", |
| 71 | + kTH1F, {{1000, 0, 20}}); |
| 72 | + // |
| 73 | + // PID QA |
| 74 | + // --- Kaon |
| 75 | + uHistograms.add("QA/Kaon/TOF_TPC_Map", |
| 76 | + "TOF + TPC Combined PID for Kaons; " |
| 77 | + "#sigma_{TOF}^{Kaon}; #sigma_{TPC}^{Kaon}", |
| 78 | + kTH2F, {{1000, -10, 10}, {1000, -10, 10}}); |
| 79 | + uHistograms.add("QA/Kaon/TOF_Nsigma", |
| 80 | + "TOF NSigma for Kaons; " |
| 81 | + "#it{p}_{T} (GeV/#it{c}); #sigma_{TOF}^{Kaon};", |
| 82 | + kTH2F, {{1000, 0, 20}, {1000, -10, 10}}); |
| 83 | + uHistograms.add("QA/Kaon/TPC_Nsigma", |
| 84 | + "TPC NSigma for Kaons; " |
| 85 | + "#it{p}_{T} (GeV/#it{c}); #sigma_{TPC}^{Kaon};", |
| 86 | + kTH2F, {{1000, 0, 20}, {1000, -10, 10}}); |
| 87 | + uHistograms.add("QA/Kaon/Selected/TOF_TPC_Map", |
| 88 | + "TOF + TPC Combined PID for Kaons; " |
| 89 | + "#sigma_{TPC}^{Kaon}; #sigma_{TPC}^{Kaon}", |
| 90 | + kTH2F, {{1000, -10, 10}, {1000, -10, 10}}); |
| 91 | + uHistograms.add("QA/Kaon/Selected/TOF_Nsigma", |
| 92 | + "TOF NSigma for Kaons; " |
| 93 | + "#it{p}_{T} (GeV/#it{c}); #sigma_{TOF}^{Kaon};", |
| 94 | + kTH2F, {{1000, 0, 20}, {1000, -10, 10}}); |
| 95 | + uHistograms.add("QA/Kaon/Selected/TPC_Nsigma", |
| 96 | + "TPC NSigma for Kaons; " |
| 97 | + "#it{p}_{T} (GeV/#it{c}); #sigma_{TPC}^{Kaon};", |
| 98 | + kTH2F, {{1000, 0, 20}, {1000, -10, 10}}); |
| 99 | + // --- Pion |
| 100 | + uHistograms.add("QA/Pion/TOF_TPC_Map", |
| 101 | + "TOF + TPC Combined PID for Pions; " |
| 102 | + "#sigma_{TOF}^{Pion}; #sigma_{TPC}^{Pion}", |
| 103 | + kTH2F, {{1000, -10, 10}, {1000, -10, 10}}); |
| 104 | + uHistograms.add("QA/Pion/TOF_Nsigma", |
| 105 | + "TOF NSigma for Pions; " |
| 106 | + "#it{p}_{T} (GeV/#it{c}); #sigma_{TOF}^{Pion};", |
| 107 | + kTH2F, {{1000, 0, 20}, {1000, -10, 10}}); |
| 108 | + uHistograms.add("QA/Pion/TPC_Nsigma", |
| 109 | + "TPC NSigma for Pions; " |
| 110 | + "#it{p}_{T} (GeV/#it{c}); #sigma_{TPC}^{Pion};", |
| 111 | + kTH2F, {{1000, 0, 20}, {1000, -10, 10}}); |
| 112 | + uHistograms.add("QA/Pion/Selected/TOF_TPC_Map", |
| 113 | + "TOF + TPC Combined PID for Pions; " |
| 114 | + "#sigma_{TPC}^{Pion}; #sigma_{TPC}^{Pion}", |
| 115 | + kTH2F, {{1000, -10, 10}, {1000, -10, 10}}); |
| 116 | + uHistograms.add("QA/Pion/Selected/TOF_Nsigma", |
| 117 | + "TOF NSigma for Pions; " |
| 118 | + "#it{p}_{T} (GeV/#it{c}); #sigma_{TOF}^{Pion};", |
| 119 | + kTH2F, {{1000, 0, 20}, {1000, -10, 10}}); |
| 120 | + uHistograms.add("QA/Pion/Selected/TPC_Nsigma", |
| 121 | + "TPC NSigma for Pions; " |
| 122 | + "#it{p}_{T} (GeV/#it{c}); #sigma_{TPC}^{Pion};", |
| 123 | + kTH2F, {{1000, 0, 20}, {1000, -10, 10}}); |
| 124 | + // |
| 125 | + // Analysis Plots |
| 126 | + // --- Phi |
| 127 | + uHistograms.add("Analysis/Phi/FullInvariantMass", |
| 128 | + "K^{+}K^{-} Invariant Mass; " |
| 129 | + "M_{K^{+}K^{-}}; Counts;", |
| 130 | + kTH1F, {{1000, 0.99, 1.10}}); |
| 131 | + uHistograms.add("Analysis/Phi/PTInvariantMass", |
| 132 | + "#it{p}_{T} (GeV/#it{c}); K^{+}K^{-} Invariant Mass; " |
| 133 | + " M_{K^{+}K^{-}};", |
| 134 | + kTH2F, {{1000, 0., 20.}, {1000, 0.99, 1.10}}); |
| 135 | + // --- K* |
| 136 | + uHistograms.add("Analysis/Kstar/FullInvariantMass", |
| 137 | + "K^{#pm}#pi^{#pm} Invariant Mass; " |
| 138 | + "M_{K^{#pm}#pi^{#pm}}; Counts;", |
| 139 | + kTH1F, {{1000, 0.84, 0.95}}); |
| 140 | + uHistograms.add("Analysis/Kstar/PTInvariantMass", |
| 141 | + "#it{p}_{T} (GeV/#it{c}); K^{#pm}#pi^{#pm} Invariant Mass; " |
| 142 | + " M_{K^{#pm}#pi^{#pm}};", |
| 143 | + kTH2F, {{1000, 0., 20.}, {1000, 0.84, 0.95}}); |
| 144 | + } |
| 145 | + // |
| 146 | + // Configurables |
| 147 | + // --- Event |
| 148 | + Configurable<double> kVertexZ{"kVertexCut", 10., "Vertex Z Cut"}; |
| 149 | + // --- PID |
| 150 | + // --- --- Kaons |
| 151 | + Configurable<double> kKaonsTOFveto{"kKaonsTOFveto", 3., |
| 152 | + "TOF Veto NSigma for Kaons"}; |
| 153 | + Configurable<double> kKaonsTPCveto{"kKaonsTPCveto", 5., |
| 154 | + "TPC NSigma for Kaons w/ TOF Veto"}; |
| 155 | + Configurable<double> kKaonsTPCstda{"kKaonsTPCstda", 3., |
| 156 | + "TPC NSigma for Kaons Standalone"}; |
| 157 | + // --- --- Pions |
| 158 | + Configurable<double> kPionsTOFveto{"kPionsTOFveto", 3., |
| 159 | + "TOF Veto NSigma for Pions"}; |
| 160 | + Configurable<double> kPionsTPCveto{"kPionsTPCveto", 5., |
| 161 | + "TPC NSigma for Pions w/ TOF Veto"}; |
| 162 | + Configurable<double> kPionsTPCstda{"kPionsTPCstda", 3., |
| 163 | + "TPC NSigma for Pions Standalone"}; |
| 164 | + // |
| 165 | + // Processing A02D |
| 166 | + void process(kCollisionsTable::iterator const& kCollision, |
| 167 | + kTracksTable const& kTracks) |
| 168 | + { |
| 169 | + // |
| 170 | + // Collision QA |
| 171 | + uHistograms.fill(HIST("QA/Event/EnumEvents"), EventSelection::kNoSelection); |
| 172 | + // |
| 173 | + // --- Event selection: Trigger based on TVX |
| 174 | + if (!kCollision.sel8()) |
| 175 | + return; |
| 176 | + uHistograms.fill(HIST("QA/Event/EnumEvents"), |
| 177 | + EventSelection::kTVXselection); |
| 178 | + // |
| 179 | + // --- Event selection: Vertex position |
| 180 | + uHistograms.fill(HIST("QA/Event/VertexZ"), kCollision.posZ()); |
| 181 | + if (!(fabs(kCollision.posZ()) < kVertexZ)) |
| 182 | + return; |
| 183 | + uHistograms.fill(HIST("QA/Event/EnumEvents"), EventSelection::kVertexCut); |
| 184 | + uHistograms.fill(HIST("QA/Event/Selected/VertexZ"), kCollision.posZ()); |
| 185 | + // |
| 186 | + // Storage for Kaons |
| 187 | + // --- PX PY PZ HasPositiveCharge |
| 188 | + std::vector<std::tuple<Float_t, Float_t, Float_t>> kPosSelectedKaons; |
| 189 | + std::vector<std::tuple<Float_t, Float_t, Float_t>> kNegSelectedKaons; |
| 190 | + std::vector<std::tuple<Float_t, Float_t, Float_t>> kPosSelectedPions; |
| 191 | + std::vector<std::tuple<Float_t, Float_t, Float_t>> kNegSelectedPions; |
| 192 | + // |
| 193 | + // Loop on Tracks |
| 194 | + for (auto kCurrentTrack : kTracks) { |
| 195 | + // |
| 196 | + // Track Selection |
| 197 | + if (!kCurrentTrack.isGlobalTrack()) |
| 198 | + continue; |
| 199 | + uHistograms.fill(HIST("QA/Track/Momentum"), kCurrentTrack.dcaZ()); |
| 200 | + uHistograms.fill(HIST("QA/Track/TMomentum"), kCurrentTrack.pt()); |
| 201 | + // |
| 202 | + // PID Selection |
| 203 | + // --- PID QA Kaons |
| 204 | + uHistograms.fill(HIST("QA/Kaon/TOF_Nsigma"), kCurrentTrack.pt(), |
| 205 | + kCurrentTrack.tofNSigmaKa()); |
| 206 | + uHistograms.fill(HIST("QA/Kaon/TPC_Nsigma"), kCurrentTrack.pt(), |
| 207 | + kCurrentTrack.tpcNSigmaKa()); |
| 208 | + uHistograms.fill(HIST("QA/Kaon/TOF_TPC_Map"), kCurrentTrack.tofNSigmaKa(), |
| 209 | + kCurrentTrack.tpcNSigmaKa()); |
| 210 | + // --- PID QA Pions |
| 211 | + uHistograms.fill(HIST("QA/Pion/TOF_Nsigma"), kCurrentTrack.pt(), |
| 212 | + kCurrentTrack.tofNSigmaPi()); |
| 213 | + uHistograms.fill(HIST("QA/Pion/TPC_Nsigma"), kCurrentTrack.pt(), |
| 214 | + kCurrentTrack.tpcNSigmaPi()); |
| 215 | + uHistograms.fill(HIST("QA/Pion/TOF_TPC_Map"), kCurrentTrack.tofNSigmaPi(), |
| 216 | + kCurrentTrack.tpcNSigmaPi()); |
| 217 | + // |
| 218 | + if (uIsKaonSelected(kCurrentTrack)) { |
| 219 | + if (kCurrentTrack.sign() > 0) |
| 220 | + kPosSelectedKaons.push_back(std::tuple<Float_t, Float_t, Float_t>( |
| 221 | + kCurrentTrack.px(), kCurrentTrack.py(), kCurrentTrack.pz())); |
| 222 | + else |
| 223 | + kNegSelectedKaons.push_back(std::tuple<Float_t, Float_t, Float_t>( |
| 224 | + kCurrentTrack.px(), kCurrentTrack.py(), kCurrentTrack.pz())); |
| 225 | + } |
| 226 | + // |
| 227 | + if (uIsPionSelected(kCurrentTrack)) { |
| 228 | + if (kCurrentTrack.sign() > 0) |
| 229 | + kPosSelectedPions.push_back(std::tuple<Float_t, Float_t, Float_t>( |
| 230 | + kCurrentTrack.px(), kCurrentTrack.py(), kCurrentTrack.pz())); |
| 231 | + else |
| 232 | + kNegSelectedPions.push_back(std::tuple<Float_t, Float_t, Float_t>( |
| 233 | + kCurrentTrack.px(), kCurrentTrack.py(), kCurrentTrack.pz())); |
| 234 | + } |
| 235 | + } |
| 236 | + // |
| 237 | + // Invariant Mass for Phi |
| 238 | + TLorentzVector kPositiveDecayDaughter; |
| 239 | + TLorentzVector kNegativeDecayDaughter; |
| 240 | + TLorentzVector kResonanceCandidate; |
| 241 | + for (auto kPosKaon : kPosSelectedKaons) { |
| 242 | + for (auto kNegKaon : kNegSelectedKaons) { |
| 243 | + // |
| 244 | + kPositiveDecayDaughter.SetXYZM(get<0>(kPosKaon), get<1>(kPosKaon), |
| 245 | + get<2>(kPosKaon), .493677); |
| 246 | + kNegativeDecayDaughter.SetXYZM(get<0>(kNegKaon), get<1>(kNegKaon), |
| 247 | + get<2>(kNegKaon), .493677); |
| 248 | + kResonanceCandidate = kPositiveDecayDaughter + kNegativeDecayDaughter; |
| 249 | + // |
| 250 | + if (kResonanceCandidate.Mag() < 0.90 || |
| 251 | + kResonanceCandidate.Mag() > 1.10) |
| 252 | + continue; |
| 253 | + if (fabs(kResonanceCandidate.Rapidity()) > 0.5) |
| 254 | + continue; |
| 255 | + // |
| 256 | + uHistograms.fill(HIST("Analysis/Phi/FullInvariantMass"), |
| 257 | + kResonanceCandidate.Mag()); |
| 258 | + } |
| 259 | + } |
| 260 | + // Invariant Mass for K* |
| 261 | + for (auto kPosKaon : kPosSelectedKaons) { |
| 262 | + for (auto kNegKaon : kNegSelectedPions) { |
| 263 | + // |
| 264 | + kPositiveDecayDaughter.SetXYZM(get<0>(kPosKaon), get<1>(kPosKaon), |
| 265 | + get<2>(kPosKaon), .493677); |
| 266 | + kNegativeDecayDaughter.SetXYZM(get<0>(kNegKaon), get<1>(kNegKaon), |
| 267 | + get<2>(kNegKaon), .139570); |
| 268 | + kResonanceCandidate = kPositiveDecayDaughter + kNegativeDecayDaughter; |
| 269 | + // |
| 270 | + if (kResonanceCandidate.Mag() < 0.84 || |
| 271 | + kResonanceCandidate.Mag() > 0.95) |
| 272 | + continue; |
| 273 | + if (fabs(kResonanceCandidate.Rapidity()) > 0.5) |
| 274 | + continue; |
| 275 | + // |
| 276 | + uHistograms.fill(HIST("Analysis/Kstar/FullInvariantMass"), |
| 277 | + kResonanceCandidate.Mag()); |
| 278 | + } |
| 279 | + } |
| 280 | + for (auto kPosKaon : kPosSelectedPions) { |
| 281 | + for (auto kNegKaon : kNegSelectedKaons) { |
| 282 | + // |
| 283 | + kPositiveDecayDaughter.SetXYZM(get<0>(kPosKaon), get<1>(kPosKaon), |
| 284 | + get<2>(kPosKaon), .139570); |
| 285 | + kNegativeDecayDaughter.SetXYZM(get<0>(kNegKaon), get<1>(kNegKaon), |
| 286 | + get<2>(kNegKaon), .493677); |
| 287 | + kResonanceCandidate = kPositiveDecayDaughter + kNegativeDecayDaughter; |
| 288 | + // |
| 289 | + if (kResonanceCandidate.Mag() < 0.84 || |
| 290 | + kResonanceCandidate.Mag() > 0.95) |
| 291 | + continue; |
| 292 | + if (fabs(kResonanceCandidate.Rapidity()) > 0.5) |
| 293 | + continue; |
| 294 | + // |
| 295 | + uHistograms.fill(HIST("Analysis/Kstar/FullInvariantMass"), |
| 296 | + kResonanceCandidate.Mag()); |
| 297 | + } |
| 298 | + } |
| 299 | + } |
| 300 | + // |
| 301 | + bool uIsKaonSelected(kTracksTable::iterator const& kCurrentTrack) |
| 302 | + { |
| 303 | + // |
| 304 | + // Utility variables |
| 305 | + Bool_t kHasTPC = kCurrentTrack.hasTPC(); |
| 306 | + Double_t kTPCSigma = kCurrentTrack.tpcNSigmaKa(); |
| 307 | + Bool_t kHasTOF = kCurrentTrack.hasTOF(); |
| 308 | + Double_t kTOFSigma = kCurrentTrack.tofNSigmaKa(); |
| 309 | + Double_t kTMomentum = kCurrentTrack.pt(); |
| 310 | + // |
| 311 | + // Selection |
| 312 | + if (!kHasTPC || fabs(kTPCSigma) > kKaonsTPCveto) |
| 313 | + return false; |
| 314 | + if (!kHasTOF && fabs(kTPCSigma) > kKaonsTPCstda) |
| 315 | + return false; |
| 316 | + if (kHasTOF && fabs(kTOFSigma) > kKaonsTOFveto) |
| 317 | + return false; |
| 318 | + // |
| 319 | + uHistograms.fill(HIST("QA/Kaon/Selected/TOF_Nsigma"), kTMomentum, |
| 320 | + kTOFSigma); |
| 321 | + uHistograms.fill(HIST("QA/Kaon/Selected/TPC_Nsigma"), kTMomentum, |
| 322 | + kTPCSigma); |
| 323 | + uHistograms.fill(HIST("QA/Kaon/Selected/TOF_TPC_Map"), kTOFSigma, |
| 324 | + kTPCSigma); |
| 325 | + return true; |
| 326 | + } |
| 327 | + // |
| 328 | + bool uIsPionSelected(kTracksTable::iterator const& kCurrentTrack) |
| 329 | + { |
| 330 | + // |
| 331 | + // Utility variables |
| 332 | + Bool_t kHasTPC = kCurrentTrack.hasTPC(); |
| 333 | + Double_t kTPCSigma = kCurrentTrack.tpcNSigmaPi(); |
| 334 | + Bool_t kHasTOF = kCurrentTrack.hasTOF(); |
| 335 | + Double_t kTOFSigma = kCurrentTrack.tofNSigmaPi(); |
| 336 | + Double_t kTMomentum = kCurrentTrack.pt(); |
| 337 | + // |
| 338 | + // Selection |
| 339 | + if (!kHasTPC || fabs(kTPCSigma) > kPionsTPCveto) |
| 340 | + return false; |
| 341 | + if (!kHasTOF && fabs(kTPCSigma) > kPionsTPCstda) |
| 342 | + return false; |
| 343 | + if (kHasTOF && fabs(kTOFSigma) > kPionsTOFveto) |
| 344 | + return false; |
| 345 | + // |
| 346 | + uHistograms.fill(HIST("QA/Pion/Selected/TOF_Nsigma"), kTMomentum, |
| 347 | + kTOFSigma); |
| 348 | + uHistograms.fill(HIST("QA/Pion/Selected/TPC_Nsigma"), kTMomentum, |
| 349 | + kTPCSigma); |
| 350 | + uHistograms.fill(HIST("QA/Pion/Selected/TOF_TPC_Map"), kTOFSigma, |
| 351 | + kTPCSigma); |
| 352 | + return true; |
| 353 | + } |
| 354 | + // |
| 355 | + bool uIsTrackSelected() { return true; } |
| 356 | +}; |
| 357 | + |
| 358 | +WorkflowSpec defineDataProcessing( |
| 359 | + ConfigContext const& cfgc) // This puts your task in the DPL workflow |
| 360 | +{ |
| 361 | + // Equivalent to the AddTask in AliPhysics |
| 362 | + WorkflowSpec workflow{adaptAnalysisTask<rsn_analysis>(cfgc)}; |
| 363 | + return workflow; |
| 364 | +} |
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