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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 resonancesGfwFlow.cxx |
| 13 | +/// \brief PID flow for resonances using the generic framework |
| 14 | +/// \author Preet Bhanjan Pati <preet.bhanjan.pati@cern.ch> |
| 15 | + |
| 16 | +#include <CCDB/BasicCCDBManager.h> |
| 17 | +#include <cmath> |
| 18 | +#include <vector> |
| 19 | +#include <utility> |
| 20 | +#include <array> |
| 21 | +#include <string> |
| 22 | + |
| 23 | +#include "Math/Vector4D.h" |
| 24 | + |
| 25 | +#include "Framework/runDataProcessing.h" |
| 26 | +#include "Framework/AnalysisTask.h" |
| 27 | +#include "Framework/ASoAHelpers.h" |
| 28 | +#include "Framework/RunningWorkflowInfo.h" |
| 29 | +#include "Framework/HistogramRegistry.h" |
| 30 | +#include "Framework/AnalysisDataModel.h" |
| 31 | +#include "Framework/StepTHn.h" |
| 32 | + |
| 33 | +#include "Common/DataModel/EventSelection.h" |
| 34 | +#include "Common/Core/TrackSelection.h" |
| 35 | +#include "Common/DataModel/TrackSelectionTables.h" |
| 36 | +#include "Common/DataModel/Centrality.h" |
| 37 | +#include "Common/DataModel/PIDResponse.h" |
| 38 | +#include "Common/Core/trackUtilities.h" |
| 39 | +#include "Common/Core/RecoDecay.h" |
| 40 | +#include "Common/DataModel/Multiplicity.h" |
| 41 | +#include "PWGLF/DataModel/EPCalibrationTables.h" |
| 42 | +#include "CommonConstants/PhysicsConstants.h" |
| 43 | + |
| 44 | +#include "ReconstructionDataFormats/Track.h" |
| 45 | +#include "ReconstructionDataFormats/PID.h" |
| 46 | + |
| 47 | +#include <TProfile.h> |
| 48 | +#include <TRandom3.h> |
| 49 | +#include <TF1.h> |
| 50 | + |
| 51 | +using namespace o2; |
| 52 | +using namespace o2::framework; |
| 53 | +using namespace o2::framework::expressions; |
| 54 | +using namespace std; |
| 55 | + |
| 56 | +#define O2_DEFINE_CONFIGURABLE(NAME, TYPE, DEFAULT, HELP) Configurable<TYPE> NAME{#NAME, DEFAULT, HELP}; |
| 57 | + |
| 58 | +struct ResonancesGfwFlow { |
| 59 | + Service<ccdb::BasicCCDBManager> ccdb; |
| 60 | + Configurable<int64_t> noLaterThan{"noLaterThan", std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count(), "latest acceptable timestamp of creation for the object"}; |
| 61 | + Configurable<std::string> ccdbUrl{"ccdbUrl", "http://ccdb-test.cern.ch:8080", "url of the ccdb repository"}; |
| 62 | + |
| 63 | + O2_DEFINE_CONFIGURABLE(cfgCutVertex, float, 10.0f, "Accepted z-vertex range") |
| 64 | + O2_DEFINE_CONFIGURABLE(cfgCutPtPOIMin, float, 0.2f, "Minimal pT for poi tracks") |
| 65 | + O2_DEFINE_CONFIGURABLE(cfgCutPtPOIMax, float, 10.0f, "Maximal pT for poi tracks") |
| 66 | + O2_DEFINE_CONFIGURABLE(cfgCutPtMin, float, 0.2f, "Minimal pT for ref tracks") |
| 67 | + O2_DEFINE_CONFIGURABLE(cfgCutPtMax, float, 3.0f, "Maximal pT for ref tracks") |
| 68 | + O2_DEFINE_CONFIGURABLE(cfgCutEta, float, 0.8f, "Eta range for tracks") |
| 69 | + O2_DEFINE_CONFIGURABLE(cfgCutChi2prTPCcls, float, 2.5, "Chi2 per TPC clusters") |
| 70 | + O2_DEFINE_CONFIGURABLE(cfgUseNch, bool, false, "Use Nch for flow observables") |
| 71 | + O2_DEFINE_CONFIGURABLE(cfgNbootstrap, int, 10, "Number of subsamples") |
| 72 | + O2_DEFINE_CONFIGURABLE(cfgTpcNsigmaCut, float, 3.0f, "TPC N-sigma cut for pions, kaons, protons") |
| 73 | + O2_DEFINE_CONFIGURABLE(cfgTofNsigmaCut, float, 3.0f, "TOF N-sigma cut for pions, kaons, protons") |
| 74 | + O2_DEFINE_CONFIGURABLE(cfgTofPtCut, float, 0.5f, "Minimum pt to use TOF N-sigma") |
| 75 | + |
| 76 | + O2_DEFINE_CONFIGURABLE(cfgUsePVContributor, bool, true, "Use PV contributor for tracks") |
| 77 | + O2_DEFINE_CONFIGURABLE(cfgFakePartCut, float, 0.1f, "Maximum difference in measured momentum and TPC inner ring momentum of particle") |
| 78 | + O2_DEFINE_CONFIGURABLE(cfgTpcCluster, int, 70, "Number of TPC clusters") |
| 79 | + O2_DEFINE_CONFIGURABLE(cfgUsePointingAngle, bool, false, "Use Pointing angle for resonances") |
| 80 | + O2_DEFINE_CONFIGURABLE(cfgPointingAnglePhi, float, 0.04f, "Minimum Pointing angle for Phi") |
| 81 | + O2_DEFINE_CONFIGURABLE(cfgPointingAngleKo, float, 0.97f, "Minimum Pointing angle for K0") |
| 82 | + O2_DEFINE_CONFIGURABLE(cfgPointingAngleLambda, float, 0.995f, "Minimum Pointing angle for Lambda") |
| 83 | + O2_DEFINE_CONFIGURABLE(cfgUseVoRadius, bool, true, "Use V0 radius for particle identification") |
| 84 | + O2_DEFINE_CONFIGURABLE(cfgVoRadiusMin, float, 0.5f, "Minimum V0 radius in cm") |
| 85 | + O2_DEFINE_CONFIGURABLE(cfgVoRadiusMax, float, 200.0f, "Maximum V0 radius in cm") |
| 86 | + O2_DEFINE_CONFIGURABLE(cfgUseProperLifetime, bool, true, "Use proper lifetime for particle identification") |
| 87 | + O2_DEFINE_CONFIGURABLE(cfgProperLtK0, float, 20.0f, "Minimum lifetime for K0 in cm") |
| 88 | + O2_DEFINE_CONFIGURABLE(cfgProperLtLambda, float, 30.0f, "Minimum lifetime for Lambda in cm") |
| 89 | + O2_DEFINE_CONFIGURABLE(cfgUseDCA, bool, true, "Use dca for daughter tracks") |
| 90 | + O2_DEFINE_CONFIGURABLE(cfgDCAtoPV, float, 0.06f, "Minimum DCA of daughter tracks to primary vertex in cm") |
| 91 | + O2_DEFINE_CONFIGURABLE(cfgDCABetDaug, int, 1, "Maximum DCA between daughter tracks") |
| 92 | + |
| 93 | + O2_DEFINE_CONFIGURABLE(cfgCutDCAxy, float, 2.0f, "DCAxy range for tracks") |
| 94 | + O2_DEFINE_CONFIGURABLE(cfgCutDCAz, float, 2.0f, "DCAz range for tracks") |
| 95 | + O2_DEFINE_CONFIGURABLE(additionalEvsel, bool, false, "Additional event selcection") |
| 96 | + O2_DEFINE_CONFIGURABLE(useGlobalTrack, bool, true, "use Global track") |
| 97 | + O2_DEFINE_CONFIGURABLE(cfgITScluster, int, 0, "Number of ITS cluster") |
| 98 | + O2_DEFINE_CONFIGURABLE(cfgCutTOFBeta, float, 0.0, "cut TOF beta") |
| 99 | + O2_DEFINE_CONFIGURABLE(cfgCutOccupancy, int, 3000, "Occupancy cut") |
| 100 | + O2_DEFINE_CONFIGURABLE(ispTdepPID, bool, true, "pT dependent PID") |
| 101 | + O2_DEFINE_CONFIGURABLE(removefaketrack, bool, true, "Remove fake track from momentum difference") |
| 102 | + O2_DEFINE_CONFIGURABLE(confRapidity, float, 0.5, "Rapidity cut") |
| 103 | + |
| 104 | + // Defining configurable axis |
| 105 | + ConfigurableAxis axisVertex{"axisVertex", {20, -10, 10}, "vertex axis for histograms"}; |
| 106 | + ConfigurableAxis axisPhi{"axisPhi", {60, 0.0, constants::math::TwoPI}, "phi axis for histograms"}; |
| 107 | + ConfigurableAxis axisEta{"axisEta", {40, -1., 1.}, "eta axis for histograms"}; |
| 108 | + ConfigurableAxis axisPt{"axisPt", {VARIABLE_WIDTH, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.00, 1.20, 1.40, 1.60, 1.80, 2.00, 2.20, 2.40, 2.60, 2.80, 3.00, 3.50, 4.00, 5.00, 6.00, 8.00, 10.00}, "pt axis for histograms"}; |
| 109 | + ConfigurableAxis axisMultiplicity{"axisMultiplicity", {VARIABLE_WIDTH, 0, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90}, "centrality axis for histograms"}; |
| 110 | + ConfigurableAxis axisNsigmaTPC{"axisNsigmaTPC", {80, -5, 5}, "nsigmaTPC axis"}; |
| 111 | + ConfigurableAxis axisNsigmaTOF{"axisNsigmaTOF", {80, -5, 5}, "nsigmaTOF axis"}; |
| 112 | + ConfigurableAxis axisParticles{"axisParticles", {3, 0, 3}, "axis for different hadrons"}; |
| 113 | + ConfigurableAxis axisPhiMass{"axisPhiMass", {50000, 0, 5}, "axis for invariant mass distibution for Phi"}; |
| 114 | + ConfigurableAxis axisKoMass{"axisKoMass", {50000, 0, 5}, "axis for invariant mass distibution for K0"}; |
| 115 | + ConfigurableAxis axisLambdaMass{"axisLambdaMass", {50000, 0, 5}, "axis for invariant mass distibution for Lambda"}; |
| 116 | + ConfigurableAxis axisTPCsignal{"axisTPCsignal", {10000, 0, 1000}, "axis for TPC signal"}; |
| 117 | + ConfigurableAxis axisTOFsignal{"axisTOFsignal", {10000, 0, 1000}, "axis for TOF signal"}; |
| 118 | + |
| 119 | + Filter collisionFilter = nabs(aod::collision::posZ) < cfgCutVertex; |
| 120 | + Filter trackFilter = (nabs(aod::track::dcaXY) < cfgCutDCAxy) && (nabs(aod::track::dcaZ) < cfgCutDCAz) && (nabs(aod::track::eta) < cfgCutEta) && (aod::track::pt > cfgCutPtPOIMin) && (aod::track::pt < cfgCutPtPOIMax); |
| 121 | + |
| 122 | + using AodCollisions = soa::Filtered<soa::Join<aod::Collisions, aod::EvSels, aod::FT0Mults, aod::FV0Mults, aod::TPCMults, aod::CentFV0As, aod::CentFT0Ms, aod::CentFT0Cs, aod::CentFT0As, aod::Mults>>; |
| 123 | + using AodTracksWithoutBayes = soa::Filtered<soa::Join<aod::Tracks, aod::TrackSelection, aod::TracksExtra, aod::TracksDCA, aod::pidTPCFullPi, aod::pidTPCFullKa, aod::pidTPCFullPr, aod::pidTOFbeta, aod::pidTOFFullPi, aod::pidTOFFullKa, aod::pidTOFFullPr>>; |
| 124 | + |
| 125 | + SliceCache cache; |
| 126 | + Partition<AodTracksWithoutBayes> posTracks = aod::track::signed1Pt > 0.0f; |
| 127 | + Partition<AodTracksWithoutBayes> negTracks = aod::track::signed1Pt < 0.0f; |
| 128 | + |
| 129 | + HistogramRegistry histos{"histos", {}, OutputObjHandlingPolicy::AnalysisObject}; |
| 130 | + |
| 131 | + TAxis* fPtAxis; |
| 132 | + TRandom3* fRndm = new TRandom3(0); |
| 133 | + |
| 134 | + // Event selection cuts - Alex |
| 135 | + TF1* fMultPVCutLow = nullptr; |
| 136 | + TF1* fMultPVCutHigh = nullptr; |
| 137 | + TF1* fMultCutLow = nullptr; |
| 138 | + TF1* fMultCutHigh = nullptr; |
| 139 | + TF1* fMultMultPVCut = nullptr; |
| 140 | + |
| 141 | + void init(InitContext const&) |
| 142 | + { |
| 143 | + ccdb->setURL(ccdbUrl.value); |
| 144 | + ccdb->setCaching(true); |
| 145 | + ccdb->setCreatedNotAfter(noLaterThan.value); |
| 146 | + |
| 147 | + histos.add("hPhi", "", {HistType::kTH1D, {axisPhi}}); |
| 148 | + histos.add("hEta", "", {HistType::kTH1D, {axisEta}}); |
| 149 | + histos.add("hVtxZ", "", {HistType::kTH1D, {axisVertex}}); |
| 150 | + histos.add("hMult", "", {HistType::kTH1D, {{3000, 0.5, 3000.5}}}); |
| 151 | + histos.add("hCent", "", {HistType::kTH1D, {{90, 0, 90}}}); |
| 152 | + |
| 153 | + histos.add("KaplusTPC", "", {HistType::kTH2D, {{axisPt, axisTPCsignal}}}); |
| 154 | + histos.add("KaminusTPC", "", {HistType::kTH2D, {{axisPt, axisTPCsignal}}}); |
| 155 | + histos.add("KaplusTOF", "", {HistType::kTH2D, {{axisPt, axisTOFsignal}}}); |
| 156 | + histos.add("KaminusTOF", "", {HistType::kTH2D, {{axisPt, axisTOFsignal}}}); |
| 157 | + histos.add("hPhiMass_sparse", "", {HistType::kTHnSparseD, {{axisPhiMass, axisPt, axisMultiplicity}}}); |
| 158 | + |
| 159 | + if (additionalEvsel) { |
| 160 | + fMultPVCutLow = new TF1("fMultPVCutLow", "[0]+[1]*x+[2]*x*x+[3]*x*x*x - 2.5*([4]+[5]*x+[6]*x*x+[7]*x*x*x+[8]*x*x*x*x)", 0, 100); |
| 161 | + fMultPVCutLow->SetParameters(2834.66, -87.0127, 0.915126, -0.00330136, 332.513, -12.3476, 0.251663, -0.00272819, 1.12242e-05); |
| 162 | + fMultPVCutHigh = new TF1("fMultPVCutHigh", "[0]+[1]*x+[2]*x*x+[3]*x*x*x + 2.5*([4]+[5]*x+[6]*x*x+[7]*x*x*x+[8]*x*x*x*x)", 0, 100); |
| 163 | + fMultPVCutHigh->SetParameters(2834.66, -87.0127, 0.915126, -0.00330136, 332.513, -12.3476, 0.251663, -0.00272819, 1.12242e-05); |
| 164 | + fMultCutLow = new TF1("fMultCutLow", "[0]+[1]*x+[2]*x*x+[3]*x*x*x - 2.5*([4]+[5]*x)", 0, 100); |
| 165 | + fMultCutLow->SetParameters(1893.94, -53.86, 0.502913, -0.0015122, 109.625, -1.19253); |
| 166 | + fMultCutHigh = new TF1("fMultCutHigh", "[0]+[1]*x+[2]*x*x+[3]*x*x*x + 3.*([4]+[5]*x)", 0, 100); |
| 167 | + fMultCutHigh->SetParameters(1893.94, -53.86, 0.502913, -0.0015122, 109.625, -1.19253); |
| 168 | + fMultMultPVCut = new TF1("fMultMultPVCut", "[0]+[1]*x+[2]*x*x", 0, 5000); |
| 169 | + fMultMultPVCut->SetParameters(-0.1, 0.785, -4.7e-05); |
| 170 | + } |
| 171 | + } |
| 172 | + |
| 173 | + // deep angle cut on pair to remove photon conversion |
| 174 | + template <typename T1, typename T2> |
| 175 | + bool selectionPair(const T1& candidate1, const T2& candidate2) |
| 176 | + { |
| 177 | + double pt1, pt2, pz1, pz2, p1, p2, angle; |
| 178 | + pt1 = candidate1.pt(); |
| 179 | + pt2 = candidate2.pt(); |
| 180 | + pz1 = candidate1.pz(); |
| 181 | + pz2 = candidate2.pz(); |
| 182 | + p1 = candidate1.p(); |
| 183 | + p2 = candidate2.p(); |
| 184 | + angle = std::acos((pt1 * pt2 + pz1 * pz2) / (p1 * p2)); |
| 185 | + if (cfgUsePointingAngle && angle < cfgPointingAnglePhi) { |
| 186 | + return false; |
| 187 | + } |
| 188 | + return true; |
| 189 | + } |
| 190 | + |
| 191 | + template <typename TCollision> |
| 192 | + bool eventSelected(TCollision collision, const float& centrality) |
| 193 | + { |
| 194 | + auto multNTracksPV = collision.multNTracksPV(); |
| 195 | + if (multNTracksPV < fMultPVCutLow->Eval(centrality)) |
| 196 | + return 0; |
| 197 | + if (multNTracksPV > fMultPVCutHigh->Eval(centrality)) |
| 198 | + return 0; |
| 199 | + |
| 200 | + return 1; |
| 201 | + } |
| 202 | + |
| 203 | + template <typename T> |
| 204 | + bool selectionTrack(const T& candidate) |
| 205 | + { |
| 206 | + if (useGlobalTrack && !(candidate.isGlobalTrack() && candidate.isPVContributor() && candidate.itsNCls() > cfgITScluster && candidate.tpcNClsFound() > cfgTpcCluster)) { |
| 207 | + return false; |
| 208 | + } |
| 209 | + if (!useGlobalTrack && !(candidate.isPVContributor() && candidate.itsNCls() > cfgITScluster)) { |
| 210 | + return false; |
| 211 | + } |
| 212 | + return true; |
| 213 | + } |
| 214 | + |
| 215 | + template <typename T> |
| 216 | + bool selectionPIDpTdependent(const T& candidate) |
| 217 | + { |
| 218 | + if (candidate.pt() < 0.5 && std::abs(candidate.tpcNSigmaKa()) < cfgTpcNsigmaCut) { |
| 219 | + return true; |
| 220 | + } |
| 221 | + if (candidate.pt() >= 0.5 && candidate.hasTOF() && candidate.beta() > cfgCutTOFBeta && std::abs(candidate.tpcNSigmaKa()) < cfgTpcNsigmaCut && std::abs(candidate.tofNSigmaKa()) < cfgTofNsigmaCut) { |
| 222 | + return true; |
| 223 | + } |
| 224 | + if (!useGlobalTrack && !candidate.hasTPC()) { |
| 225 | + return true; |
| 226 | + } |
| 227 | + return false; |
| 228 | + } |
| 229 | + template <typename T> |
| 230 | + bool selectionPID(const T& candidate) |
| 231 | + { |
| 232 | + if (!candidate.hasTOF() && std::abs(candidate.tpcNSigmaKa()) < cfgTpcNsigmaCut) { |
| 233 | + return true; |
| 234 | + } |
| 235 | + if (candidate.hasTOF() && candidate.beta() > cfgCutTOFBeta && std::abs(candidate.tpcNSigmaKa()) < cfgTpcNsigmaCut && std::abs(candidate.tofNSigmaKa()) < cfgTofNsigmaCut) { |
| 236 | + return true; |
| 237 | + } |
| 238 | + return false; |
| 239 | + } |
| 240 | + |
| 241 | + template <typename T> |
| 242 | + bool isFakeKaon(T const& track) |
| 243 | + { |
| 244 | + const auto pglobal = track.p(); |
| 245 | + const auto ptpc = track.tpcInnerParam(); |
| 246 | + if (std::abs(pglobal - ptpc) > cfgFakePartCut) { |
| 247 | + return true; |
| 248 | + } |
| 249 | + return false; |
| 250 | + } |
| 251 | + |
| 252 | + using BinningTypeVertexContributor = ColumnBinningPolicy<aod::collision::PosZ, aod::cent::CentFT0C, o2::aod::evsel::NumTracksInTimeRange>; |
| 253 | + ROOT::Math::PxPyPzMVector phiMom, kaonPlus, kaonminus; |
| 254 | + double massKaPlus = o2::constants::physics::MassKPlus; |
| 255 | + |
| 256 | + void process(AodCollisions::iterator const& collision, aod::BCsWithTimestamps const&, AodTracksWithoutBayes const& tracks) |
| 257 | + { |
| 258 | + if (!collision.sel8() || !collision.selection_bit(aod::evsel::kNoTimeFrameBorder) || !collision.selection_bit(aod::evsel::kNoITSROFrameBorder) || !collision.selection_bit(aod::evsel::kNoSameBunchPileup) || !collision.selection_bit(aod::evsel::kIsGoodZvtxFT0vsPV) || !collision.selection_bit(o2::aod::evsel::kNoCollInTimeRangeStandard)) { |
| 259 | + return; |
| 260 | + } |
| 261 | + |
| 262 | + const auto cent = collision.centFT0C(); |
| 263 | + int nTot = tracks.size(); |
| 264 | + float vtxz = collision.posZ(); |
| 265 | + int occupancy = collision.trackOccupancyInTimeRange(); |
| 266 | + |
| 267 | + if (occupancy > cfgCutOccupancy) { |
| 268 | + return; |
| 269 | + } |
| 270 | + |
| 271 | + if (additionalEvsel && !eventSelected(collision, cent)) { |
| 272 | + return; |
| 273 | + } |
| 274 | + |
| 275 | + histos.fill(HIST("hVtxZ"), vtxz); |
| 276 | + histos.fill(HIST("hMult"), nTot); |
| 277 | + histos.fill(HIST("hCent"), cent); |
| 278 | + |
| 279 | + auto posSlicedTracks = posTracks->sliceByCached(aod::track::collisionId, collision.globalIndex(), cache); |
| 280 | + auto negSlicedTracks = negTracks->sliceByCached(aod::track::collisionId, collision.globalIndex(), cache); |
| 281 | + |
| 282 | + for (auto const& track1 : posSlicedTracks) { |
| 283 | + // track selection |
| 284 | + if (!selectionTrack(track1)) { |
| 285 | + continue; |
| 286 | + } |
| 287 | + // PID check |
| 288 | + if (ispTdepPID && !selectionPIDpTdependent(track1)) { |
| 289 | + continue; |
| 290 | + } |
| 291 | + if (!ispTdepPID && !selectionPID(track1)) { |
| 292 | + continue; |
| 293 | + } |
| 294 | + histos.fill(HIST("KaplusTPC"), track1.pt(), track1.tpcNSigmaKa()); |
| 295 | + histos.fill(HIST("KaplusTOF"), track1.pt(), track1.tofNSigmaKa()); |
| 296 | + auto track1ID = track1.globalIndex(); |
| 297 | + |
| 298 | + for (auto const& track2 : negSlicedTracks) { |
| 299 | + // track selection |
| 300 | + if (!selectionTrack(track2)) { |
| 301 | + continue; |
| 302 | + } |
| 303 | + // PID check |
| 304 | + if (ispTdepPID && !selectionPIDpTdependent(track2)) { |
| 305 | + continue; |
| 306 | + } |
| 307 | + if (!ispTdepPID && !selectionPID(track2)) { |
| 308 | + continue; |
| 309 | + } |
| 310 | + auto track2ID = track2.globalIndex(); |
| 311 | + if (track2ID == track1ID) { |
| 312 | + continue; |
| 313 | + } |
| 314 | + if (!selectionPair(track1, track2)) { |
| 315 | + continue; |
| 316 | + } |
| 317 | + if (removefaketrack && isFakeKaon(track1)) { |
| 318 | + continue; |
| 319 | + } |
| 320 | + if (removefaketrack && isFakeKaon(track2)) { |
| 321 | + continue; |
| 322 | + } |
| 323 | + histos.fill(HIST("KaminusTPC"), track2.pt(), track2.tpcNSigmaKa()); |
| 324 | + histos.fill(HIST("KaminusTOF"), track2.pt(), track2.tofNSigmaKa()); |
| 325 | + kaonPlus = ROOT::Math::PxPyPzMVector(track1.px(), track1.py(), track1.pz(), massKaPlus); |
| 326 | + kaonminus = ROOT::Math::PxPyPzMVector(track2.px(), track2.py(), track2.pz(), massKaPlus); |
| 327 | + phiMom = kaonPlus + kaonminus; |
| 328 | + if (std::abs(phiMom.Rapidity()) < confRapidity) { |
| 329 | + histos.fill(HIST("hPhiMass_sparse"), phiMom.M(), phiMom.Pt(), cent); |
| 330 | + histos.fill(HIST("hPhi"), phiMom.Phi()); |
| 331 | + histos.fill(HIST("hEta"), phiMom.Eta()); |
| 332 | + } |
| 333 | + } // end of track 2 |
| 334 | + } // end of track 1 |
| 335 | + } // end of process |
| 336 | +}; |
| 337 | + |
| 338 | +WorkflowSpec defineDataProcessing(ConfigContext const& cfgc) |
| 339 | +{ |
| 340 | + return WorkflowSpec{adaptAnalysisTask<ResonancesGfwFlow>(cfgc)}; |
| 341 | +} |
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