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[PWGLF] Task for high mas reconstruction in 2 phi decay mode (AliceO2…
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| // Copyright 2019-2020 CERN and copyright holders of ALICE O2. | ||
| // See https://alice-o2.web.cern.ch/copyright for details of the copyright holders. | ||
| // All rights not expressly granted are reserved. | ||
| // | ||
| // This software is distributed under the terms of the GNU General Public | ||
| // License v3 (GPL Version 3), copied verbatim in the file "COPYING". | ||
| // | ||
| // In applying this license CERN does not waive the privileges and immunities | ||
| // granted to it by virtue of its status as an Intergovernmental Organization | ||
| // or submit itself to any jurisdiction. | ||
| /// | ||
| /// \brief this is a starting point for the Resonances tutorial | ||
| /// \author sourav kundu | ||
| /// \since 02/11/2023 | ||
|
|
||
| #include <Framework/Configurable.h> | ||
| #include <TLorentzVector.h> | ||
| #include <Math/GenVector/Boost.h> | ||
| #include <Math/Vector4D.h> | ||
| #include <TMath.h> | ||
| #include <fairlogger/Logger.h> | ||
| #include <iostream> | ||
| #include <iterator> | ||
| #include <string> | ||
|
|
||
| #include "Framework/AnalysisTask.h" | ||
| #include "Framework/ASoAHelpers.h" | ||
| #include "Framework/runDataProcessing.h" | ||
| #include "Framework/AnalysisDataModel.h" | ||
| #include "Framework/StepTHn.h" | ||
| #include "Common/Core/trackUtilities.h" | ||
| #include "PWGLF/DataModel/ReducedDoublePhiTables.h" | ||
| #include "CommonConstants/PhysicsConstants.h" | ||
|
|
||
| using namespace o2; | ||
| using namespace o2::framework; | ||
| using namespace o2::framework::expressions; | ||
| using namespace o2::soa; | ||
|
|
||
| struct doublephimeson { | ||
| HistogramRegistry histos{"histos", {}, OutputObjHandlingPolicy::AnalysisObject}; | ||
|
|
||
| Configurable<bool> fillRotation{"fillRotation", 1, "Fill rotation"}; | ||
| Configurable<int> strategyPID{"strategyPID", 0, "PID strategy"}; | ||
| Configurable<float> minPhiMass{"minPhiMass", 1.01, "Minimum phi mass"}; | ||
| Configurable<float> maxPhiMass{"maxPhiMass", 1.03, "Maximum phi mass"}; | ||
| Configurable<bool> additionalEvsel{"additionalEvsel", false, "Additional event selection"}; | ||
| Configurable<float> cutNsigmaTPC{"cutNsigmaTPC", 2.5, "nsigma cut TPC"}; | ||
| Configurable<float> cutNsigmaTOF{"cutNsigmaTOF", 3.0, "nsigma cut TOF"}; | ||
| // Event Mixing | ||
| Configurable<int> nEvtMixing{"nEvtMixing", 10, "Number of events to mix"}; | ||
| ConfigurableAxis CfgVtxBins{"CfgVtxBins", {10, -10, 10}, "Mixing bins - z-vertex"}; | ||
| ConfigurableAxis CfgMultBins{"CfgMultBins", {VARIABLE_WIDTH, 0.0, 20.0, 40.0, 60.0, 80.0, 500.0}, "Mixing bins - number of contributor"}; | ||
|
|
||
| // THnsparse bining | ||
| ConfigurableAxis configThnAxisInvMass{"configThnAxisInvMass", {1500, 2.0, 3.5}, "#it{M} (GeV/#it{c}^{2})"}; | ||
| ConfigurableAxis configThnAxisDaugherPt{"configThnAxisDaugherPt", {25, 0.0, 50.}, "#it{p}_{T} (GeV/#it{c})"}; | ||
| ConfigurableAxis configThnAxisPt{"configThnAxisPt", {40, 0.0, 20.}, "#it{p}_{T} (GeV/#it{c})"}; | ||
| ConfigurableAxis configThnAxisKstar{"configThnAxisKstar", {50, 0.0, 0.5}, "#it{k}^{*} (GeV/#it{c})"}; | ||
|
|
||
| // Initialize the ananlysis task | ||
| void init(o2::framework::InitContext&) | ||
| { | ||
| // register histograms | ||
| histos.add("hnsigmaTPCKaonPlus", "hnsigmaTPCKaonPlus", kTH2F, {{1000, -3.0, 3.0f}, {100, 0.0f, 10.0f}}); | ||
| histos.add("hnsigmaTPCKaonMinus", "hnsigmaTPCKaonMinus", kTH2F, {{1000, -3.0, 3.0f}, {100, 0.0f, 10.0f}}); | ||
| histos.add("hPhid1Mass", "hPhid1Mass", kTH2F, {{40, 1.0, 1.04f}, {100, 0.0f, 10.0f}}); | ||
| histos.add("hPhid2Mass", "hPhid2Mass", kTH2F, {{40, 1.0, 1.04f}, {100, 0.0f, 10.0f}}); | ||
|
|
||
| const AxisSpec thnAxisInvMass{configThnAxisInvMass, "#it{M} (GeV/#it{c}^{2})"}; | ||
| const AxisSpec thnAxisDaughterPt{configThnAxisDaugherPt, "#it{p}_{T} (GeV/#it{c})"}; | ||
| const AxisSpec thnAxisPt{configThnAxisPt, "#it{p}_{T} (GeV/#it{c})"}; | ||
| const AxisSpec thnAxisKstar{configThnAxisKstar, "#it{k}^{*} (GeV/#it{c})"}; | ||
|
|
||
| histos.add("SEMassUnlike", "SEMassUnlike", HistType::kTHnSparseF, {thnAxisInvMass, thnAxisPt, thnAxisDaughterPt, thnAxisDaughterPt, thnAxisKstar}); | ||
| histos.add("SEMassRot", "SEMassRot", HistType::kTHnSparseF, {thnAxisInvMass, thnAxisPt, thnAxisDaughterPt, thnAxisDaughterPt, thnAxisKstar}); | ||
|
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||
| histos.add("MEMassUnlike", "MEMassUnlike", HistType::kTHnSparseF, {thnAxisInvMass, thnAxisPt, thnAxisDaughterPt, thnAxisDaughterPt, thnAxisKstar}); | ||
| histos.add("MEMassRot", "MEMassRot", HistType::kTHnSparseF, {thnAxisInvMass, thnAxisPt, thnAxisDaughterPt, thnAxisDaughterPt, thnAxisKstar}); | ||
| } | ||
|
|
||
| // get kstar | ||
| TLorentzVector trackSum, PartOneCMS, PartTwoCMS, trackRelK; | ||
| float getkstar(const TLorentzVector part1, | ||
| const TLorentzVector part2) | ||
| { | ||
| // const TLorentzVector trackSum = part1 + part2; | ||
| trackSum = part1 + part2; | ||
| const float beta = trackSum.Beta(); | ||
| const float betax = beta * std::cos(trackSum.Phi()) * std::sin(trackSum.Theta()); | ||
| const float betay = beta * std::sin(trackSum.Phi()) * std::sin(trackSum.Theta()); | ||
| const float betaz = beta * std::cos(trackSum.Theta()); | ||
| // TLorentzVector PartOneCMS(part1); | ||
| // TLorentzVector PartTwoCMS(part2); | ||
| PartOneCMS.SetXYZM(part1.Px(), part1.Py(), part1.Pz(), part1.M()); | ||
| PartTwoCMS.SetXYZM(part2.Px(), part2.Py(), part2.Pz(), part2.M()); | ||
| const ROOT::Math::Boost boostPRF = ROOT::Math::Boost(-betax, -betay, -betaz); | ||
| PartOneCMS = boostPRF(PartOneCMS); | ||
| PartTwoCMS = boostPRF(PartTwoCMS); | ||
| // const TLorentzVector trackRelK = PartOneCMS - PartTwoCMS; | ||
| trackRelK = PartOneCMS - PartTwoCMS; | ||
| return 0.5 * trackRelK.P(); | ||
| } | ||
| bool selectionPID(float nsigmaTPC, float nsigmaTOF, int TOFHit, int PIDStrategy, float ptcand) | ||
| { | ||
| if (PIDStrategy == 0) { | ||
| if (TOFHit != 1) { | ||
| if (TMath::Abs(nsigmaTPC) < cutNsigmaTPC) { | ||
| return true; | ||
| } | ||
| } | ||
| if (TOFHit == 1) { | ||
| if (TMath::Abs(nsigmaTOF) < cutNsigmaTOF) { | ||
| return true; | ||
| } | ||
| } | ||
| } | ||
| if (PIDStrategy == 1) { | ||
| if (ptcand < 0.6) { | ||
| if (TOFHit != 1 && TMath::Abs(nsigmaTPC) < cutNsigmaTPC) { | ||
| return true; | ||
| } | ||
| if (TOFHit == 1 && TMath::Abs(nsigmaTOF) < cutNsigmaTOF) { | ||
| return true; | ||
| } | ||
| } | ||
| if (ptcand >= 0.6) { | ||
| if (TOFHit == 1 && TMath::Abs(nsigmaTOF) < cutNsigmaTOF) { | ||
| return true; | ||
| } | ||
| } | ||
| } | ||
| if (PIDStrategy == 2) { | ||
| if (ptcand < 0.6) { | ||
| if (TOFHit != 1 && TMath::Abs(nsigmaTPC) < cutNsigmaTPC) { | ||
| return true; | ||
| } | ||
| if (TOFHit == 1 && TMath::Abs(nsigmaTOF) < cutNsigmaTOF) { | ||
| return true; | ||
| } | ||
| } | ||
| if (ptcand >= 0.6 && ptcand < 1.2) { | ||
| if (TOFHit == 1 && TMath::Abs(nsigmaTOF) < cutNsigmaTOF) { | ||
| return true; | ||
| } | ||
| if (TOFHit != 1 && nsigmaTPC > -1.5 && nsigmaTPC < cutNsigmaTPC) { | ||
| return true; | ||
| } | ||
| } | ||
| if (ptcand >= 1.2) { | ||
| if (TOFHit == 1 && TMath::Abs(nsigmaTOF) < cutNsigmaTOF) { | ||
| return true; | ||
| } | ||
| if (TOFHit != 1 && TMath::Abs(nsigmaTPC) < cutNsigmaTPC) { | ||
| return true; | ||
| } | ||
| } | ||
| } | ||
| if (PIDStrategy == 3) { | ||
| if (ptcand < 0.6) { | ||
| if (TOFHit != 1 && TMath::Abs(nsigmaTPC) < cutNsigmaTPC) { | ||
| return true; | ||
| } | ||
| if (TOFHit == 1 && TMath::Abs(nsigmaTOF) < cutNsigmaTOF) { | ||
| return true; | ||
| } | ||
| } | ||
| if (ptcand >= 0.6 && ptcand < 1.2) { | ||
| if (TOFHit == 1 && TMath::Abs(nsigmaTOF) < cutNsigmaTOF) { | ||
| return true; | ||
| } | ||
| } | ||
| if (ptcand >= 1.2) { | ||
| if (TOFHit == 1 && TMath::Abs(nsigmaTOF) < cutNsigmaTOF) { | ||
| return true; | ||
| } | ||
| if (TOFHit != 1 && TMath::Abs(nsigmaTPC) < cutNsigmaTPC) { | ||
| return true; | ||
| } | ||
| } | ||
| } | ||
| return false; | ||
| } | ||
|
|
||
| TLorentzVector exotic, Phid1, Phid2; | ||
| TLorentzVector exoticRot, Phid1Rot; | ||
| void process(aod::RedPhiEvents::iterator const& collision, aod::PhiTracks const& phitracks) | ||
| { | ||
| if (additionalEvsel && (collision.numPos() < 2 || collision.numNeg() < 2)) { | ||
| return; | ||
| } | ||
| for (auto phitrackd1 : phitracks) { | ||
| if (phitrackd1.phiMass() < minPhiMass || phitrackd1.phiMass() > maxPhiMass) { | ||
| continue; | ||
| } | ||
|
|
||
| auto kaonplusd1pt = TMath::Sqrt(phitrackd1.phid1Px() * phitrackd1.phid1Px() + phitrackd1.phid1Py() * phitrackd1.phid1Py()); | ||
| auto kaonminusd1pt = TMath::Sqrt(phitrackd1.phid2Px() * phitrackd1.phid2Px() + phitrackd1.phid2Py() * phitrackd1.phid2Py()); | ||
|
|
||
| if (!selectionPID(phitrackd1.phid1TPC(), phitrackd1.phid1TOF(), phitrackd1.phid1TOFHit(), strategyPID, kaonplusd1pt)) { | ||
| continue; | ||
| } | ||
| if (!selectionPID(phitrackd1.phid2TPC(), phitrackd1.phid2TOF(), phitrackd1.phid2TOFHit(), strategyPID, kaonminusd1pt)) { | ||
| continue; | ||
| } | ||
|
|
||
| histos.fill(HIST("hnsigmaTPCKaonPlus"), phitrackd1.phid1TPC(), kaonplusd1pt); | ||
| histos.fill(HIST("hnsigmaTPCKaonMinus"), phitrackd1.phid2TPC(), kaonminusd1pt); | ||
| Phid1.SetXYZM(phitrackd1.phiPx(), phitrackd1.phiPy(), phitrackd1.phiPz(), phitrackd1.phiMass()); | ||
| histos.fill(HIST("hPhid1Mass"), Phid1.M(), Phid1.Pt()); | ||
| auto phid1id = phitrackd1.index(); | ||
| for (auto phitrackd2 : phitracks) { | ||
| auto phid2id = phitrackd2.index(); | ||
| if (phid2id <= phid1id) { | ||
| continue; | ||
| } | ||
| if (phitrackd2.phiMass() < minPhiMass || phitrackd2.phiMass() > maxPhiMass) { | ||
| continue; | ||
| } | ||
| auto kaonplusd2pt = TMath::Sqrt(phitrackd2.phid1Px() * phitrackd2.phid1Px() + phitrackd2.phid1Py() * phitrackd2.phid1Py()); | ||
| auto kaonminusd2pt = TMath::Sqrt(phitrackd2.phid2Px() * phitrackd2.phid2Px() + phitrackd2.phid2Py() * phitrackd2.phid2Py()); | ||
|
|
||
| if (!selectionPID(phitrackd2.phid1TPC(), phitrackd2.phid1TOF(), phitrackd2.phid1TOFHit(), strategyPID, kaonplusd2pt)) { | ||
| continue; | ||
| } | ||
| if (!selectionPID(phitrackd2.phid2TPC(), phitrackd2.phid2TOF(), phitrackd2.phid2TOFHit(), strategyPID, kaonminusd2pt)) { | ||
| continue; | ||
| } | ||
| if (phitrackd1.phid1Index() == phitrackd2.phid1Index()) { | ||
| continue; | ||
| } | ||
| if (phitrackd1.phid2Index() == phitrackd2.phid2Index()) { | ||
| continue; | ||
| } | ||
| Phid2.SetXYZM(phitrackd2.phiPx(), phitrackd2.phiPy(), phitrackd2.phiPz(), phitrackd2.phiMass()); | ||
| exotic = Phid1 + Phid2; | ||
| auto kstar = getkstar(Phid1, Phid2); | ||
| histos.fill(HIST("SEMassUnlike"), exotic.M(), exotic.Pt(), Phid1.Pt(), Phid2.Pt(), kstar); | ||
| if (fillRotation) { | ||
| for (int nrotbkg = 0; nrotbkg < 9; nrotbkg++) { | ||
| auto anglestart = 5.0 * TMath::Pi() / 6.0; | ||
| auto angleend = 7.0 * TMath::Pi() / 6.0; | ||
| auto anglestep = (angleend - anglestart) / (1.0 * (9.0 - 1.0)); | ||
| auto rotangle = anglestart + nrotbkg * anglestep; | ||
| auto rotd1px = Phid1.Px() * std::cos(rotangle) - Phid1.Py() * std::sin(rotangle); | ||
| auto rotd1py = Phid1.Px() * std::sin(rotangle) + Phid1.Py() * std::cos(rotangle); | ||
| Phid1Rot.SetXYZM(rotd1px, rotd1py, Phid1.Pz(), Phid1.M()); | ||
| exoticRot = Phid1Rot + Phid2; | ||
| auto kstar_rot = getkstar(Phid1Rot, Phid2); | ||
| histos.fill(HIST("SEMassRot"), exoticRot.M(), exoticRot.Pt(), Phid1Rot.Pt(), Phid2.Pt(), kstar_rot); | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
|
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||
| SliceCache cache; | ||
| using BinningTypeVertexContributor = ColumnBinningPolicy<aod::collision::PosZ, aod::collision::NumContrib>; | ||
| void processMixedEvent(aod::RedPhiEvents& collisions, aod::PhiTracks& phitracks) | ||
| { | ||
| auto tracksTuple = std::make_tuple(phitracks); | ||
| BinningTypeVertexContributor binningOnPositions{{CfgVtxBins, CfgMultBins}, true}; | ||
| SameKindPair<aod::RedPhiEvents, aod::PhiTracks, BinningTypeVertexContributor> pair{binningOnPositions, nEvtMixing, -1, collisions, tracksTuple, &cache}; | ||
|
|
||
| for (auto& [collision1, tracks1, collision2, tracks2] : pair) { | ||
| if (collision1.index() == collision2.index()) { | ||
| continue; | ||
| } | ||
| for (auto& [phitrackd1, phitrackd2] : o2::soa::combinations(o2::soa::CombinationsFullIndexPolicy(tracks1, tracks2))) { | ||
| if (phitrackd1.phiMass() < minPhiMass || phitrackd1.phiMass() > maxPhiMass) { | ||
| continue; | ||
| } | ||
|
|
||
| auto kaonplusd1pt = TMath::Sqrt(phitrackd1.phid1Px() * phitrackd1.phid1Px() + phitrackd1.phid1Py() * phitrackd1.phid1Py()); | ||
| auto kaonminusd1pt = TMath::Sqrt(phitrackd1.phid2Px() * phitrackd1.phid2Px() + phitrackd1.phid2Py() * phitrackd1.phid2Py()); | ||
| auto kaonplusd2pt = TMath::Sqrt(phitrackd2.phid1Px() * phitrackd2.phid1Px() + phitrackd2.phid1Py() * phitrackd2.phid1Py()); | ||
| auto kaonminusd2pt = TMath::Sqrt(phitrackd2.phid2Px() * phitrackd2.phid2Px() + phitrackd2.phid2Py() * phitrackd2.phid2Py()); | ||
|
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||
| if (!selectionPID(phitrackd1.phid1TPC(), phitrackd1.phid1TOF(), phitrackd1.phid1TOFHit(), strategyPID, kaonplusd1pt)) { | ||
| continue; | ||
| } | ||
| if (!selectionPID(phitrackd1.phid2TPC(), phitrackd1.phid2TOF(), phitrackd1.phid2TOFHit(), strategyPID, kaonminusd1pt)) { | ||
| continue; | ||
| } | ||
| Phid1.SetXYZM(phitrackd1.phiPx(), phitrackd1.phiPy(), phitrackd1.phiPz(), phitrackd1.phiMass()); | ||
| if (phitrackd2.phiMass() < minPhiMass || phitrackd2.phiMass() > maxPhiMass) { | ||
| continue; | ||
| } | ||
| if (!selectionPID(phitrackd2.phid1TPC(), phitrackd2.phid1TOF(), phitrackd2.phid1TOFHit(), strategyPID, kaonplusd2pt)) { | ||
| continue; | ||
| } | ||
| if (!selectionPID(phitrackd2.phid2TPC(), phitrackd2.phid2TOF(), phitrackd2.phid2TOFHit(), strategyPID, kaonminusd2pt)) { | ||
| continue; | ||
| } | ||
| Phid2.SetXYZM(phitrackd2.phiPx(), phitrackd2.phiPy(), phitrackd2.phiPz(), phitrackd2.phiMass()); | ||
| exotic = Phid1 + Phid2; | ||
| auto kstar = getkstar(Phid1, Phid2); | ||
| histos.fill(HIST("MEMassUnlike"), exotic.M(), exotic.Pt(), Phid1.Pt(), Phid2.Pt(), kstar); | ||
| if (fillRotation) { | ||
| for (int nrotbkg = 0; nrotbkg < 9; nrotbkg++) { | ||
| auto anglestart = 5.0 * TMath::Pi() / 6.0; | ||
| auto angleend = 7.0 * TMath::Pi() / 6.0; | ||
| auto anglestep = (angleend - anglestart) / (1.0 * (9.0 - 1.0)); | ||
| auto rotangle = anglestart + nrotbkg * anglestep; | ||
| auto rotd1px = Phid1.Px() * std::cos(rotangle) - Phid1.Py() * std::sin(rotangle); | ||
| auto rotd1py = Phid1.Px() * std::sin(rotangle) + Phid1.Py() * std::cos(rotangle); | ||
| Phid1Rot.SetXYZM(rotd1px, rotd1py, Phid1.Pz(), Phid1.M()); | ||
| exoticRot = Phid1Rot + Phid2; | ||
| auto kstar_rot = getkstar(Phid1Rot, Phid2); | ||
| histos.fill(HIST("MEMassRot"), exoticRot.M(), exoticRot.Pt(), Phid1Rot.Pt(), Phid2.Pt(), kstar_rot); | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| PROCESS_SWITCH(doublephimeson, processMixedEvent, "Process EventMixing for combinatorial background", true); | ||
| }; | ||
|
|
||
| WorkflowSpec defineDataProcessing(ConfigContext const& cfgc) { return WorkflowSpec{adaptAnalysisTask<doublephimeson>(cfgc)}; } |