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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 taskMixingDstarCandTreeCreator.cxx |
| 13 | +/// \brief Writer of D*+ → D0 ( → π+ K-) π+ candidates in the form of flat tables to be stored in TTrees. |
| 14 | +/// Intended for Mix-candidate analysis in spin alignment measurement. |
| 15 | +/// Serving as a correction for detector acceptance and reconstruction efficiency. |
| 16 | +/// |
| 17 | +/// \author Mingze li <mingze.li@cern.ch>, CCNU/UniTo |
| 18 | + |
| 19 | +#include "PWGHF/Core/DecayChannels.h" |
| 20 | +#include "PWGHF/D2H/Utils/utilsFlow.h" |
| 21 | +#include "PWGHF/Core/CentralityEstimation.h" |
| 22 | +#include "PWGHF/DataModel/CandidateReconstructionTables.h" |
| 23 | +#include "PWGHF/DataModel/CandidateSelectionTables.h" |
| 24 | + |
| 25 | +#include "Common/Core/RecoDecay.h" |
| 26 | + |
| 27 | +#include <CommonConstants/PhysicsConstants.h> |
| 28 | +#include <Framework/ASoA.h> |
| 29 | +#include <Framework/AnalysisDataModel.h> |
| 30 | +#include <Framework/AnalysisHelpers.h> |
| 31 | +#include <Framework/AnalysisTask.h> |
| 32 | +#include <Framework/Configurable.h> |
| 33 | +#include <Framework/InitContext.h> |
| 34 | +#include <Framework/runDataProcessing.h> |
| 35 | + |
| 36 | +#include <cstdint> |
| 37 | + |
| 38 | +using namespace o2; |
| 39 | +using namespace o2::framework; |
| 40 | +using namespace o2::framework::expressions; |
| 41 | +using namespace o2::hf_centrality; |
| 42 | +using namespace o2::hf_occupancy; |
| 43 | +using namespace o2::analysis::hf_flow_utils; |
| 44 | + |
| 45 | +namespace o2::aod |
| 46 | +{ |
| 47 | +namespace mixing_dstar |
| 48 | +{ |
| 49 | +DECLARE_SOA_INDEX_COLUMN(Collision, collision); |
| 50 | +// D0 related variables |
| 51 | +DECLARE_SOA_COLUMN(MD0, mD0, float); |
| 52 | +DECLARE_SOA_COLUMN(PtD0, ptD0, float); |
| 53 | +DECLARE_SOA_COLUMN(PD0, pD0, float); |
| 54 | +DECLARE_SOA_COLUMN(EtaD0, etaD0, float); |
| 55 | +DECLARE_SOA_COLUMN(PhiD0, phiD0, float); |
| 56 | +DECLARE_SOA_COLUMN(YD0, yD0, float); |
| 57 | +// soft pion related variables |
| 58 | +DECLARE_SOA_COLUMN(PtSoftPi, ptSoftPi, float); |
| 59 | +DECLARE_SOA_COLUMN(PSoftPi, pSoftPi, float); |
| 60 | +DECLARE_SOA_COLUMN(EtaSoftPi, etaSoftPi, float); |
| 61 | +DECLARE_SOA_COLUMN(PhiSoftPi, phiSoftPi, float); |
| 62 | +DECLARE_SOA_COLUMN(YSoftPi, ySoftPi, float); |
| 63 | +// Dstar related variables |
| 64 | +DECLARE_SOA_COLUMN(M, m, float); |
| 65 | +DECLARE_SOA_COLUMN(Pt, pt, float); |
| 66 | +DECLARE_SOA_COLUMN(P, p, float); |
| 67 | +DECLARE_SOA_COLUMN(Eta, eta, float); |
| 68 | +DECLARE_SOA_COLUMN(Phi, phi, float); |
| 69 | +DECLARE_SOA_COLUMN(Y, y, float); |
| 70 | +DECLARE_SOA_COLUMN(MlProbDstarToD0PiBkg, mlProbDstarToD0PiBkg, float); |
| 71 | +DECLARE_SOA_COLUMN(MlProbDstarToD0PiPrompt, mlProbDstarToD0PiPrompt, float); |
| 72 | +DECLARE_SOA_COLUMN(MlProbDstarToD0PiNonPrompt, mlProbDstarToD0PiNonPrompt, float); |
| 73 | +// Events |
| 74 | +DECLARE_SOA_COLUMN(ZVec, zVec, float); |
| 75 | +DECLARE_SOA_COLUMN(Centrality, centrality, float); |
| 76 | +DECLARE_SOA_COLUMN(Multiplicity, multiplicity, int); |
| 77 | +DECLARE_SOA_COLUMN(Occupancy, occupancy, int); |
| 78 | +DECLARE_SOA_COLUMN(XQvec, xqVec, float); |
| 79 | +DECLARE_SOA_COLUMN(YQvec, yqVec, float); |
| 80 | +DECLARE_SOA_COLUMN(GIndexCol, gIndexCol, int); |
| 81 | +DECLARE_SOA_COLUMN(TimeStamp, timeStamp, int64_t); |
| 82 | +// Tracks |
| 83 | +DECLARE_SOA_COLUMN(MinAbsEtaTrack, MinabsEtaTrack, float); |
| 84 | +DECLARE_SOA_COLUMN(MinNumItsCls, minNumItsCls, int); |
| 85 | +DECLARE_SOA_COLUMN(MinNumTpcCls, minNumTpcCls, int); |
| 86 | +} // namespace mixing_dstar |
| 87 | + |
| 88 | +DECLARE_SOA_TABLE(HfCandDstMix, "AOD", "HFCANDDSTMIX", |
| 89 | + mixing_dstar::MD0, |
| 90 | + // mixing_dstar::PtD0, |
| 91 | + // mixing_dstar::EtaD0, |
| 92 | + // mixing_dstar::PhiD0, |
| 93 | + // mixing_dstar::YD0, |
| 94 | + mixing_dstar::PtSoftPi, |
| 95 | + mixing_dstar::EtaSoftPi, |
| 96 | + mixing_dstar::PhiSoftPi, |
| 97 | + // mixing_dstar::YSoftPi, |
| 98 | + mixing_dstar::M, |
| 99 | + mixing_dstar::Pt, |
| 100 | + mixing_dstar::Eta, |
| 101 | + mixing_dstar::Phi, |
| 102 | + mixing_dstar::Y, |
| 103 | + mixing_dstar::MlProbDstarToD0PiBkg, |
| 104 | + mixing_dstar::MlProbDstarToD0PiPrompt, |
| 105 | + mixing_dstar::MlProbDstarToD0PiNonPrompt, |
| 106 | + mixing_dstar::ZVec, |
| 107 | + mixing_dstar::Centrality, |
| 108 | + // mixing_dstar::Multiplicity, |
| 109 | + mixing_dstar::Occupancy, |
| 110 | + mixing_dstar::XQvec, |
| 111 | + mixing_dstar::YQvec, |
| 112 | + mixing_dstar::MinAbsEtaTrack, |
| 113 | + mixing_dstar::MinNumItsCls, |
| 114 | + mixing_dstar::MinNumTpcCls, |
| 115 | + mixing_dstar::GIndexCol, |
| 116 | + mixing_dstar::TimeStamp); |
| 117 | +} // namespace o2::aod |
| 118 | + |
| 119 | +/// Writes the full information in an output TTree |
| 120 | +struct HfTaskMixingDstarCandTreeCreator { |
| 121 | + Produces<o2::aod::HfCandDstMix> rowCandidateMix; |
| 122 | + |
| 123 | + Configurable<bool> selectionFlagDstarToD0Pi{"selectionFlagDstarToD0Pi", true, "Selection Flag for D* decay to D0 & Pi"}; |
| 124 | + Configurable<bool> fillMixingCandidateTable{"fillMixingCandidateTable", false, "Switch to fill lite table with candidate properties"}; |
| 125 | + |
| 126 | + Configurable<int> qVecDetector{"qVecDetector", 2, "Detector for Q vector estimation (FV0A: 0, FT0M: 1, FT0C: 2)"}; |
| 127 | + Configurable<int> centEstimator{"centEstimator", 2, "Centrality estimator ((None: 0, FT0C: 2, FT0M: 3))"}; |
| 128 | + Configurable<int> occEstimator{"occEstimator", 2, "If enabled, replace number of PV contributors with occupancy estimation (0: don't use, 1: ITS, 2: FT0C)"}; |
| 129 | + |
| 130 | + |
| 131 | + using CollsWithQVecs = soa::Join<aod::Collisions, aod::EvSels, aod::QvectorFT0Cs, aod::QvectorFT0As, aod::QvectorFT0Ms, aod::QvectorFV0As, aod::QvectorBPoss, aod::QvectorBNegs, aod::QvectorBTots, aod::CentFT0Ms, aod::CentFT0Cs>; |
| 132 | + using TracksWithExtra = soa::Join<aod::Tracks, aod::TracksExtra>; |
| 133 | + using CandDstarWSelFlag = soa::Join<aod::HfCandDstars, aod::HfSelDstarToD0Pi>; |
| 134 | + using FilteredCandDstarWSelFlagAndMl = soa::Filtered<soa::Join<CandDstarWSelFlag, aod::HfMlDstarToD0Pi>>; |
| 135 | + |
| 136 | + Filter filterSelectDstarCandidates = aod::hf_sel_candidate_dstar::isSelDstarToD0Pi == selectionFlagDstarToD0Pi; |
| 137 | + |
| 138 | + Preslice<FilteredCandDstarWSelFlagAndMl> dstarWithMlPerCollision = aod::hf_cand::collisionId; |
| 139 | + |
| 140 | + void init(InitContext const&) |
| 141 | + { |
| 142 | + } |
| 143 | + |
| 144 | + /// prongTracks is the vector of daughter tracks |
| 145 | + /// etaMin is the minimum eta |
| 146 | + /// nItsClsMin is the minumum number of clusters in ITS |
| 147 | + /// nTpcClsMin is the minumum number of clusters in TPC |
| 148 | + template <typename Trk> |
| 149 | + void getTrackingInfos(std::vector<Trk> const& prongTracks, float& etaMin, int& nItsClsMin, int& nTpcClsMin) |
| 150 | + { |
| 151 | + etaMin = 10.f; |
| 152 | + nItsClsMin = 10; |
| 153 | + nTpcClsMin = 1000; |
| 154 | + |
| 155 | + for (const auto& track : prongTracks) { |
| 156 | + if (std::abs(track.eta()) < etaMin) { |
| 157 | + etaMin = std::abs(track.eta()); |
| 158 | + } |
| 159 | + if (track.itsNCls() < nItsClsMin) { |
| 160 | + nItsClsMin = track.itsNCls(); |
| 161 | + } |
| 162 | + if (track.tpcNClsCrossedRows() < nTpcClsMin) { |
| 163 | + nTpcClsMin = track.tpcNClsCrossedRows(); |
| 164 | + } |
| 165 | + } |
| 166 | + } |
| 167 | + |
| 168 | + template <typename CollType, typename T, typename Trk, typename BcType> |
| 169 | + void fillCandidateTable(CollType const& collision, const T& candidate, Trk const& /*tracks*/, BcType const& /*bcs*/) |
| 170 | + { |
| 171 | + const auto bc = collision.template bc_as<BcType>(); |
| 172 | + const int64_t timeStamp = bc.timestamp(); |
| 173 | + |
| 174 | + float massD0{-1.f}; |
| 175 | + float massDStar{-1.f}; |
| 176 | + float etaSoftPi{-1.f}; |
| 177 | + float phiSoftPi{-1.f}; |
| 178 | + if (candidate.signSoftPi() > 0) { |
| 179 | + massD0 = candidate.invMassD0(); |
| 180 | + massDStar = candidate.invMassDstar(); |
| 181 | + } else { |
| 182 | + massD0 = candidate.invMassD0Bar(); |
| 183 | + massDStar = candidate.invMassAntiDstar(); |
| 184 | + } |
| 185 | + etaSoftPi = RecoDecay::eta(std::array{candidate.pxSoftPi(), candidate.pySoftPi(), candidate.pzSoftPi()}); |
| 186 | + phiSoftPi = RecoDecay::phi(std::array{candidate.pxSoftPi(), candidate.pySoftPi(), candidate.pzSoftPi()}); |
| 187 | + |
| 188 | + float absEtaTrackMin{-1.f}; |
| 189 | + int numItsClsMin{-1}, numTpcClsMin{-1}; |
| 190 | + |
| 191 | + auto trackProng0 = candidate.template prong0_as<Trk>(); |
| 192 | + auto trackProng1 = candidate.template prong1_as<Trk>(); |
| 193 | + auto trackProng2 = candidate.template prongPi_as<Trk>(); |
| 194 | + getTrackingInfos(std::vector{trackProng0, trackProng1, trackProng2}, absEtaTrackMin, numItsClsMin, numTpcClsMin); |
| 195 | + std::array<float, 3> const Qvector = getQvec(collision, qVecDetector.value); |
| 196 | + |
| 197 | + if (fillMixingCandidateTable) { |
| 198 | + rowCandidateMix( |
| 199 | + massD0, |
| 200 | + // candidate.ptD0(), |
| 201 | + // candidate.etaD0(), |
| 202 | + // candidate.phiD0(), |
| 203 | + // candidate.yD0(), |
| 204 | + candidate.ptSoftPi(), |
| 205 | + etaSoftPi, |
| 206 | + phiSoftPi, |
| 207 | + massDStar, |
| 208 | + candidate.pt(), |
| 209 | + candidate.eta(), |
| 210 | + candidate.phi(), |
| 211 | + candidate.y(constants::physics::MassDStar), |
| 212 | + candidate.mlProbDstarToD0Pi()[0], |
| 213 | + candidate.mlProbDstarToD0Pi()[1], |
| 214 | + candidate.mlProbDstarToD0Pi()[2], |
| 215 | + collision.posZ(), |
| 216 | + getCentralityColl(collision, centEstimator), |
| 217 | + getOccupancyColl(collision, occEstimator), |
| 218 | + Qvector[0], |
| 219 | + Qvector[1], |
| 220 | + absEtaTrackMin, |
| 221 | + numItsClsMin, |
| 222 | + numTpcClsMin, |
| 223 | + collision.globalIndex(), |
| 224 | + timeStamp); |
| 225 | + } |
| 226 | + } |
| 227 | + |
| 228 | + void processData(CollsWithQVecs const& collisions, |
| 229 | + FilteredCandDstarWSelFlagAndMl const& dstarCandidates, |
| 230 | + TracksWithExtra const& tracks, |
| 231 | + aod::BCsWithTimestamps const& bcWithTimeStamps) |
| 232 | + { |
| 233 | + for (const auto& collision : collisions) { |
| 234 | + auto thisCollId = collision.globalIndex(); |
| 235 | + auto groupedDstarCandidates = dstarCandidates.sliceBy(dstarWithMlPerCollision, thisCollId); |
| 236 | + for (const auto& dstarCandidate : groupedDstarCandidates) { |
| 237 | + fillCandidateTable(collision, dstarCandidate, tracks, bcWithTimeStamps); |
| 238 | + } |
| 239 | + } |
| 240 | + } |
| 241 | + PROCESS_SWITCH(HfTaskMixingDstarCandTreeCreator, processData, "Process data", true); |
| 242 | +}; |
| 243 | + |
| 244 | +WorkflowSpec defineDataProcessing(ConfigContext const& cfgc) |
| 245 | +{ |
| 246 | + return WorkflowSpec{adaptAnalysisTask<HfTaskMixingDstarCandTreeCreator>(cfgc)}; |
| 247 | +} |
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