From 8023e2a19c36ae5664574a390b15ef4e7645b20e Mon Sep 17 00:00:00 2001 From: wenyaCern <31894577+wenyaCern@users.noreply.github.com> Date: Mon, 6 Apr 2026 10:37:36 +0200 Subject: [PATCH] Revert "[PWGCF] Update lambdaR2Correlation.cxx (#15645)" This reverts commit d26ca498c1b15886f6bab9a89e1796a5d617f0fd. --- .../Tasks/lambdaR2Correlation.cxx | 472 +++++++++++------- 1 file changed, 294 insertions(+), 178 deletions(-) diff --git a/PWGCF/TwoParticleCorrelations/Tasks/lambdaR2Correlation.cxx b/PWGCF/TwoParticleCorrelations/Tasks/lambdaR2Correlation.cxx index 9bffe9debd0..0d0d75c58bb 100644 --- a/PWGCF/TwoParticleCorrelations/Tasks/lambdaR2Correlation.cxx +++ b/PWGCF/TwoParticleCorrelations/Tasks/lambdaR2Correlation.cxx @@ -75,6 +75,9 @@ DECLARE_SOA_COLUMN(Eta, eta, float); DECLARE_SOA_COLUMN(Phi, phi, float); DECLARE_SOA_COLUMN(Rap, rap, float); DECLARE_SOA_COLUMN(Mass, mass, float); +DECLARE_SOA_COLUMN(PrPx, prPx, float); +DECLARE_SOA_COLUMN(PrPy, prPy, float); +DECLARE_SOA_COLUMN(PrPz, prPz, float); DECLARE_SOA_COLUMN(PosTrackId, posTrackId, int64_t); DECLARE_SOA_COLUMN(NegTrackId, negTrackId, int64_t); DECLARE_SOA_COLUMN(CosPA, cosPA, float); @@ -93,6 +96,9 @@ DECLARE_SOA_TABLE(LambdaTracks, "AOD", "LAMBDATRACKS", o2::soa::Index<>, lambdatrack::Phi, lambdatrack::Rap, lambdatrack::Mass, + lambdatrack::PrPx, + lambdatrack::PrPy, + lambdatrack::PrPz, lambdatrack::PosTrackId, lambdatrack::NegTrackId, lambdatrack::CosPA, @@ -129,6 +135,9 @@ DECLARE_SOA_TABLE(LambdaMcGenTracks, "AOD", "LMCGENTRACKS", o2::soa::Index<>, lambdatrack::Phi, lambdatrack::Rap, lambdatrack::Mass, + lambdatrack::PrPx, + lambdatrack::PrPy, + lambdatrack::PrPz, lambdatrack::PosTrackId, lambdatrack::NegTrackId, lambdatrack::V0Type, @@ -137,6 +146,7 @@ DECLARE_SOA_TABLE(LambdaMcGenTracks, "AOD", "LMCGENTRACKS", o2::soa::Index<>, lambdatrack::V0PrmScd, lambdatrack::CorrFact); using LambdaMcGenTrack = LambdaMcGenTracks::iterator; + } // namespace o2::aod enum CollisionLabels { @@ -229,19 +239,16 @@ enum PrmScdPairType { }; struct LambdaTableProducer { - // Table Producers + Produces lambdaCollisionTable; Produces lambdaTrackTable; Produces lambdaMCGenCollisionTable; Produces lambdaMCGenTrackTable; - // Centrality Axis - ConfigurableAxis cCentBins{"cCentBins", {VARIABLE_WIDTH, 0.0f, 10.0f, 20.0f, 50.f, 80.0f, 100.f}, "Variable Centrality Bins"}; - // Collisions - Configurable cCentEstimator{"cCentEstimator", 1, "Centrality Estimator : 0-FT0M, 1-FT0C"}; - Configurable cMinZVtx{"cMinZVtx", -7.0, "Min VtxZ cut"}; - Configurable cMaxZVtx{"cMaxZVtx", 7.0, "Max VtxZ cut"}; + Configurable cCentEstimator{"cCentEstimator", 0, "Centrality Estimator : 0-FT0M, 1-FT0C"}; + Configurable cMinZVtx{"cMinZVtx", -10.0, "Min VtxZ cut"}; + Configurable cMaxZVtx{"cMaxZVtx", 10.0, "Max VtxZ cut"}; Configurable cMinMult{"cMinMult", 0., "Minumum Multiplicity"}; Configurable cMaxMult{"cMaxMult", 100.0, "Maximum Multiplicity"}; Configurable cSel8Trig{"cSel8Trig", true, "Sel8 (T0A + T0C) Selection Run3"}; @@ -256,13 +263,15 @@ struct LambdaTableProducer { Configurable cIsGoodITSLayers{"cIsGoodITSLayers", false, "Good ITS Layers All"}; // Tracks - Configurable cTrackMinPt{"cTrackMinPt", 0.1, "p_{T} minimum"}; + Configurable cTrackMinPt{"cTrackMinPt", 0.15, "p_{T} minimum"}; Configurable cTrackMaxPt{"cTrackMaxPt", 999.0, "p_{T} maximum"}; Configurable cTrackEtaCut{"cTrackEtaCut", 0.8, "Pseudorapidity cut"}; Configurable cMinTpcCrossedRows{"cMinTpcCrossedRows", 70, "TPC Min Crossed Rows"}; + Configurable cMinTpcCROverCls{"cMinTpcCROverCls", 0.8, "Tpc Min Crossed Rows Over Findable Clusters"}; + Configurable cMaxTpcSharedClusters{"cMaxTpcSharedClusters", 0.4, "Tpc Max Shared Clusters"}; + Configurable cMaxChi2Tpc{"cMaxChi2Tpc", 4, "Max Chi2 Tpc"}; Configurable cTpcNsigmaCut{"cTpcNsigmaCut", 3.0, "TPC NSigma Selection Cut"}; Configurable cRemoveAmbiguousTracks{"cRemoveAmbiguousTracks", false, "Remove Ambiguous Tracks"}; - Configurable cMatchEfficiency{"cMatchEfficiency", false, "Get Matching Efficiency"}; // V0s Configurable cMinDcaProtonToPV{"cMinDcaProtonToPV", 0.02, "Minimum Proton DCAr to PV"}; @@ -280,35 +289,35 @@ struct LambdaTableProducer { Configurable cKshortRejFlag{"cKshortRejFlag", true, "K0short Mass Rej Flag"}; // V0s kinmatic acceptance - Configurable cV0MassWindow{"cV0MassWindow", 0.007, "V0 Mass Window"}; - Configurable cMinV0Pt{"cMinV0Pt", 0.6, "Minimum V0 pT"}; - Configurable cMaxV0Pt{"cMaxV0Pt", 3.6, "Minimum V0 pT"}; + Configurable cMinV0Mass{"cMinV0Mass", 1.10, "V0 Mass Min"}; + Configurable cMaxV0Mass{"cMaxV0Mass", 1.12, "V0 Mass Min"}; + Configurable cMinV0Pt{"cMinV0Pt", 0.8, "Minimum V0 pT"}; + Configurable cMaxV0Pt{"cMaxV0Pt", 4.2, "Minimum V0 pT"}; Configurable cMaxV0Rap{"cMaxV0Rap", 0.5, "|rap| cut"}; Configurable cDoEtaAnalysis{"cDoEtaAnalysis", false, "Do Eta Analysis"}; - Configurable cV0TypeSelFlag{"cV0TypeSelFlag", true, "V0 Type Selection Flag"}; + Configurable cV0TypeSelFlag{"cV0TypeSelFlag", false, "V0 Type Selection Flag"}; Configurable cV0TypeSelection{"cV0TypeSelection", 1, "V0 Type Selection"}; // V0s MC Configurable cHasMcFlag{"cHasMcFlag", true, "Has Mc Tag"}; - Configurable cSelectTrueLambda{"cSelectTrueLambda", false, "Select True Lambda"}; - Configurable cSelMCPSV0{"cSelMCPSV0", false, "Select Primary/Secondary V0"}; + Configurable cSelectTrueLambda{"cSelectTrueLambda", true, "Select True Lambda"}; + Configurable cSelMCPSV0{"cSelMCPSV0", true, "Select Primary/Secondary V0"}; Configurable cCheckRecoDauFlag{"cCheckRecoDauFlag", true, "Check for reco daughter PID"}; Configurable cGenPrimaryLambda{"cGenPrimaryLambda", true, "Primary Generated Lambda"}; Configurable cGenSecondaryLambda{"cGenSecondaryLambda", false, "Secondary Generated Lambda"}; Configurable cGenDecayChannel{"cGenDecayChannel", true, "Gen Level Decay Channel Flag"}; + Configurable cRecoMomResoFlag{"cRecoMomResoFlag", false, "Check effect of momentum space smearing on balance function"}; // Efficiency Correction Configurable cCorrectionFlag{"cCorrectionFlag", false, "Correction Flag"}; Configurable cGetEffFact{"cGetEffFact", false, "Get Efficiency Factor Flag"}; Configurable cGetPrimFrac{"cGetPrimFrac", false, "Get Primary Fraction Flag"}; - Configurable cGetMatchEff{"cGetMatchEff", false, "Get Matching Efficiency Flag"}; Configurable cCorrFactHist{"cCorrFactHist", 0, "Efficiency Factor Histogram"}; Configurable cPrimFracHist{"cPrimFracHist", 0, "Primary Fraction Histogram"}; // CCDB - Configurable cUrlCCDB{"cUrlCCDB", "http://alice-ccdb.cern.ch", "ALICE CCDB URL"}; - Configurable cPathCCDB{"cPathCCDB", "Users/y/ypatley/LHC22oPass7/LambdaCorrectionFactor", "Path for ccdb-object"}; - Configurable cPathCCDBMatchEff{"cPathCCDBMatchEff", "Users/y/ypatley/LHC22oPass7/ITSTPCMatchEff", "Path for ccdb-object for matching efficiency"}; + Configurable cUrlCCDB{"cUrlCCDB", "http://ccdb-test.cern.ch:8080", "url of ccdb"}; + Configurable cPathCCDB{"cPathCCDB", "Users/y/ypatley/lambda_corr_fact", "Path for ccdb-object"}; // Initialize CCDB Service Service ccdb; @@ -328,6 +337,7 @@ struct LambdaTableProducer { // Initialize Global Variables float cent = 0., mult = 0.; + float pt = 0., eta = 0., rap = 0., phi = 0.; void init(InitContext const&) { @@ -338,9 +348,7 @@ struct LambdaTableProducer { // initialize axis specifications const AxisSpec axisCols(5, 0.5, 5.5, ""); const AxisSpec axisTrks(30, 0.5, 30.5, ""); - const AxisSpec axisCent(100, 0, 100, "Centrality(%)"); - const AxisSpec axisVarCent(cCentBins, "FT0C%"); - const AxisSpec axisPVMults(1000, 0, 1000, "N_{PV}"); + const AxisSpec axisCent(100, 0, 100, "FT0M (%)"); const AxisSpec axisMult(10, 0, 10, "N_{#Lambda}"); const AxisSpec axisVz(220, -11, 11, "V_{z} (cm)"); const AxisSpec axisPID(8000, -4000, 4000, "PdgCode"); @@ -361,7 +369,6 @@ struct LambdaTableProducer { const AxisSpec axisAlpha(40, -1, 1, "#alpha"); const AxisSpec axisQtarm(40, 0, 0.4, "q_{T}"); - const AxisSpec axisITSTPCTrackPt(100, 0, 10, "p_{T} (GeV/#it{c})"); const AxisSpec axisTrackPt(40, 0, 4, "p_{T} (GeV/#it{c})"); const AxisSpec axisTrackDCA(200, -1, 1, "dca_{XY} (cm)"); const AxisSpec axisMomPID(80, 0, 4, "p (GeV/#it{c})"); @@ -372,7 +379,6 @@ struct LambdaTableProducer { // Event histograms histos.add("Events/h1f_collisions_info", "# of Collisions", kTH1F, {axisCols}); histos.add("Events/h1f_collision_posZ", "V_{z}-distribution", kTH1F, {axisVz}); - histos.add("Events/h2f_pvmult_vs_cent", "PVMult Vs Cent", kTH2F, {axisCent, axisPVMults}); // QA histos.add("Tracks/h1f_tracks_info", "# of tracks", kTH1F, {axisTrks}); @@ -380,11 +386,6 @@ struct LambdaTableProducer { histos.add("Tracks/h2f_armpod_after_sel", "Armentros-Podolanski Plot", kTH2F, {axisAlpha, axisQtarm}); histos.add("Tracks/h1f_lambda_pt_vs_invm", "p_{T} vs M_{#Lambda}", kTH2F, {axisV0Mass, axisV0Pt}); histos.add("Tracks/h1f_antilambda_pt_vs_invm", "p_{T} vs M_{#bar{#Lambda}}", kTH2F, {axisV0Mass, axisV0Pt}); - histos.add("Tracks/h2f_track_tpccrossedrows", "Crossed rows TPC", kTH2F, {axisTrackPt, {260, 0, 260}}); - histos.add("Tracks/h2f_track_chisqperclusterits", "#chi^{2}/cluster ITS", kTH2F, {axisTrackPt, {200, 0, 50}}); - histos.add("Tracks/h2f_track_chisqperclustertpc", "#chi^{2}/cluster TPC", kTH2F, {axisTrackPt, {200, 0, 50}}); - histos.add("Tracks/h2f_itstrack_centpt", "h2f_itstrack_centpt", kTH2F, {axisVarCent, axisITSTPCTrackPt}); - histos.add("Tracks/h2f_itstpctrack_centpt", "h2f_itstpctrack_centpt", kTH2F, {axisVarCent, axisITSTPCTrackPt}); // QA Lambda histos.add("QA/Lambda/h2f_qt_vs_alpha", "Armentros-Podolanski Plot", kTH2F, {axisAlpha, axisQtarm}); @@ -403,10 +404,6 @@ struct LambdaTableProducer { histos.add("QA/Lambda/h1f_neg_prong_eta", "Neg-Prong #eta-distribution", kTH1F, {axisV0Eta}); histos.add("QA/Lambda/h1f_pos_prong_phi", "Pos-Prong #phi-distribution", kTH1F, {axisV0Phi}); histos.add("QA/Lambda/h1f_neg_prong_phi", "Neg-Prong #phi-distribution", kTH1F, {axisV0Phi}); - histos.add("QA/Lambda/h2f_pos_prong_xisqperclustertpc", "#chi^{2}/cluster TPC", kTH2F, {axisTrackPt, {200, 0, 50}}); - histos.add("QA/Lambda/h2f_pos_prong_xisqperclusterits", "#chi^{2}/cluster ITS", kTH2F, {axisTrackPt, {200, 0, 50}}); - histos.add("QA/Lambda/h2f_neg_prong_xisqperclustertpc", "#chi^{2}/cluster TPC", kTH2F, {axisTrackPt, {200, 0, 50}}); - histos.add("QA/Lambda/h2f_neg_prong_xisqperclusterits", "#chi^{2}/cluster ITS", kTH2F, {axisTrackPt, {200, 0, 50}}); histos.add("QA/Lambda/h2f_pos_prong_dcaXY_vs_pt", "DCA vs p_{T}", kTH2F, {axisTrackPt, axisTrackDCA}); histos.add("QA/Lambda/h2f_neg_prong_dcaXY_vs_pt", "DCA vs p_{T}", kTH2F, {axisTrackPt, axisTrackDCA}); @@ -432,8 +429,7 @@ struct LambdaTableProducer { // McReco Histos histos.add("Tracks/h2f_tracks_pid_before_sel", "PIDs", kTH2F, {axisPID, axisV0Pt}); histos.add("Tracks/h2f_tracks_pid_after_sel", "PIDs", kTH2F, {axisPID, axisV0Pt}); - histos.add("Tracks/h2f_primary_lambda_mothers_pdg", "PIDs", kTH2F, {axisPID, axisV0Pt}); - histos.add("Tracks/h2f_secondary_lambda_mothers_pdg", "PIDs", kTH2F, {axisPID, axisV0Pt}); + histos.add("Tracks/h2f_lambda_mothers_pdg", "PIDs", kTH2F, {axisPID, axisV0Pt}); // McGen Histos histos.add("McGen/h1f_collision_recgen", "# of Reco Collision Associated to One Mc Generator Collision", kTH1F, {axisMult}); @@ -552,7 +548,7 @@ struct LambdaTableProducer { } // Set Multiplicity - mult = col.multTPC(); + mult = col.multNTracksPV(); return true; } @@ -579,6 +575,18 @@ struct LambdaTableProducer { return false; } + if (track.tpcCrossedRowsOverFindableCls() < cMinTpcCROverCls) { + return false; + } + + if (track.tpcNClsShared() > cMaxTpcSharedClusters) { + return false; + } + + if (track.tpcChi2NCl() > cMaxChi2Tpc) { + return false; + } + return true; } @@ -685,13 +693,13 @@ struct LambdaTableProducer { bool lambdaFlag = false, antiLambdaFlag = false; // get v0 track as lambda - if ((std::abs(v0.mLambda() - MassLambda0) <= cV0MassWindow) && (selLambdaDauWithTpcPid(postrack, negtrack))) { + if ((v0.mLambda() > cMinV0Mass && v0.mLambda() < cMaxV0Mass) && (selLambdaDauWithTpcPid(postrack, negtrack))) { lambdaFlag = true; v0type = kLambda; } // get v0 track as anti-lambda - if (((std::abs(v0.mAntiLambda() - MassLambda0) <= cV0MassWindow)) && (selLambdaDauWithTpcPid(postrack, negtrack))) { + if ((v0.mAntiLambda() > cMinV0Mass && v0.mAntiLambda() < cMaxV0Mass) && (selLambdaDauWithTpcPid(postrack, negtrack))) { antiLambdaFlag = true; v0type = kAntiLambda; } @@ -834,8 +842,8 @@ struct LambdaTableProducer { return true; } - template - float getCorrectionFactors(V const& v0, T const&) + template + float getCorrectionFactors(V const& v0) { // Check for efficiency correction flag if (!cCorrectionFlag) { @@ -852,7 +860,7 @@ struct LambdaTableProducer { } // initialize efficiency factor and primary fraction values - float effCorrFact = 1., primFrac = 1., matchEffFact = 1.; + float effCorrFact = 1., primFrac = 1.; float rap = (cDoEtaAnalysis) ? v0.eta() : v0.yLambda(); // Get Efficiency Factor @@ -892,31 +900,15 @@ struct LambdaTableProducer { delete histPrm; } - // Get Matching Efficiency Correction - if (cGetMatchEff) { - auto posTrack = v0.template posTrack_as(); - auto negTrack = v0.template negTrack_as(); - auto ccdbObjMatchEff = ccdb->getForTimeStamp(cPathCCDBMatchEff.value, -1); - TObject* objMatchEff = reinterpret_cast(ccdbObjMatchEff->FindObject("hITSTPCMatchingEfficiency")); - TH1F* histMatchEff = reinterpret_cast(objMatchEff->Clone()); - float posTrackMatchEff = histMatchEff->GetBinContent(histMatchEff->FindBin(cent, posTrack.pt())); - float negTrackMatchEff = histMatchEff->GetBinContent(histMatchEff->FindBin(cent, negTrack.pt())); - matchEffFact = posTrackMatchEff * negTrackMatchEff; - } - - return primFrac * effCorrFact * matchEffFact; + return primFrac * effCorrFact; } template - void fillLambdaMothers(V const& v0, T const&, PrmScdType const& ps) + void fillLambdaMothers(V const& v0, T const&) { auto mcpart = v0.template mcParticle_as(); auto lambdaMothers = mcpart.template mothers_as(); - if (ps == kPrimary) { - histos.fill(HIST("Tracks/h2f_primary_lambda_mothers_pdg"), lambdaMothers[0].pdgCode(), v0.pt()); - } else { - histos.fill(HIST("Tracks/h2f_secondary_lambda_mothers_pdg"), lambdaMothers[0].pdgCode(), v0.pt()); - } + histos.fill(HIST("Tracks/h2f_lambda_mothers_pdg"), lambdaMothers[0].pdgCode(), v0.pt()); } template @@ -954,13 +946,9 @@ struct LambdaTableProducer { histos.fill(HIST(SubDir[part]) + HIST("h1f_pos_prong_pt"), postrack.pt()); histos.fill(HIST(SubDir[part]) + HIST("h1f_pos_prong_eta"), postrack.eta()); histos.fill(HIST(SubDir[part]) + HIST("h1f_pos_prong_phi"), postrack.phi()); - histos.fill(HIST(SubDir[part]) + HIST("h2f_pos_prong_xisqperclusterits"), postrack.pt(), postrack.itsChi2NCl()); - histos.fill(HIST(SubDir[part]) + HIST("h2f_pos_prong_xisqperclustertpc"), postrack.pt(), postrack.tpcChi2NCl()); histos.fill(HIST(SubDir[part]) + HIST("h1f_neg_prong_pt"), negtrack.pt()); histos.fill(HIST(SubDir[part]) + HIST("h1f_neg_prong_eta"), negtrack.eta()); histos.fill(HIST(SubDir[part]) + HIST("h1f_neg_prong_phi"), negtrack.phi()); - histos.fill(HIST(SubDir[part]) + HIST("h2f_neg_prong_xisqperclusterits"), negtrack.pt(), negtrack.itsChi2NCl()); - histos.fill(HIST(SubDir[part]) + HIST("h2f_neg_prong_xisqperclustertpc"), negtrack.pt(), negtrack.tpcChi2NCl()); histos.fill(HIST(SubDir[part]) + HIST("h2f_pos_prong_dcaXY_vs_pt"), postrack.pt(), postrack.dcaXY()); histos.fill(HIST(SubDir[part]) + HIST("h2f_neg_prong_dcaXY_vs_pt"), negtrack.pt(), negtrack.dcaXY()); @@ -985,27 +973,6 @@ struct LambdaTableProducer { histos.fill(HIST(SubDirRG[rg]) + HIST(SubDirPart[part]) + HIST("hPhi"), phi); } - template - void getMatchEffHist(T const& tracks) - { - for (auto const& track : tracks) { - if constexpr (dmc == kMC) { // Check corresponding MC particle - if (!track.has_mcParticle()) { - continue; - } - } - if (track.pt() <= cTrackMinPt && std::abs(track.eta()) >= cTrackEtaCut) { // Kinematic selection - continue; - } - if (track.hasITS()) { // ITS only track - histos.fill(HIST("Tracks/h2f_itstrack_centpt"), cent, track.pt()); - } - if (track.hasITS() && track.hasTPC()) { // ITS + TPC track - histos.fill(HIST("Tracks/h2f_itstpctrack_centpt"), cent, track.pt()); - } - } - } - // Reconstructed Level Tables template void fillLambdaRecoTables(C const& collision, V const& v0tracks, T const& tracks) @@ -1020,10 +987,8 @@ struct LambdaTableProducer { } } - // Fill Collision Histograms histos.fill(HIST("Events/h1f_collisions_info"), kPassSelCol); histos.fill(HIST("Events/h1f_collision_posZ"), collision.posZ()); - histos.fill(HIST("Events/h2f_pvmult_vs_cent"), cent, collision.multNTracksPV()); // Fill Collision Table lambdaCollisionTable(cent, mult, collision.posX(), collision.posY(), collision.posZ()); @@ -1032,17 +997,13 @@ struct LambdaTableProducer { ParticleType v0Type = kLambda; PrmScdType v0PrmScdType = kPrimary; float mass = 0., corr_fact = 1.; + float prPx = 0., prPy = 0., prPz = 0.; - // Loop over V0s for (auto const& v0 : v0tracks) { - // daugthers - auto postrack = v0.template posTrack_as(); - auto negtrack = v0.template negTrack_as(); - // check for corresponding MCGen Particle if constexpr (dmc == kMC) { histos.fill(HIST("Tracks/h1f_tracks_info"), kTracksBeforeHasMcParticle); - if (!v0.has_mcParticle() || !postrack.has_mcParticle() || !negtrack.has_mcParticle()) { // check corresponding MC particle + if (!v0.has_mcParticle()) { continue; } } @@ -1060,7 +1021,7 @@ struct LambdaTableProducer { continue; } - // We have v0 as lambda + // we have v0 as lambda histos.fill(HIST("Tracks/h1f_tracks_info"), kAllSelPassed); // Remove lambda with ambiguous daughters (Only for run3) @@ -1072,6 +1033,10 @@ struct LambdaTableProducer { // Get Lambda mass and kinematic variables mass = (v0Type == kLambda) ? v0.mLambda() : v0.mAntiLambda(); + pt = v0.pt(); + eta = v0.eta(); + rap = v0.yLambda(); + phi = v0.phi(); // do MC analysis if constexpr (dmc == kMC) { @@ -1088,23 +1053,46 @@ struct LambdaTableProducer { } // get mothers information - fillLambdaMothers(v0, tracks, v0PrmScdType); + if (v0PrmScdType == kSecondary) { + fillLambdaMothers(v0, tracks); + } histos.fill(HIST("Tracks/h1f_tracks_info"), kPassTrueLambdaSel); histos.fill(HIST("Tracks/h2f_tracks_pid_after_sel"), v0.mcParticle().pdgCode(), v0.pt()); + + if (cRecoMomResoFlag) { + auto mc = v0.template mcParticle_as(); + pt = mc.pt(); + eta = mc.eta(); + rap = mc.y(); + phi = mc.phi(); + float y = (cDoEtaAnalysis) ? eta : rap; + // apply kinematic selection (On Truth) + if (!kinCutSelection(pt, std::abs(y), cMinV0Pt, cMaxV0Pt, cMaxV0Rap)) { + continue; + } + } } histos.fill(HIST("Tracks/h2f_armpod_after_sel"), v0.alpha(), v0.qtarm()); // get correction factors - corr_fact = (v0Type == kLambda) ? getCorrectionFactors(v0, tracks) : getCorrectionFactors(v0, tracks); + corr_fact = (v0Type == kLambda) ? getCorrectionFactors(v0) : getCorrectionFactors(v0); // fill lambda qa if (v0Type == kLambda) { + // Assign proton Eta Phi + prPx = v0.template posTrack_as().px(); + prPy = v0.template posTrack_as().py(); + prPz = v0.template posTrack_as().pz(); histos.fill(HIST("Tracks/h1f_lambda_pt_vs_invm"), mass, v0.pt()); fillLambdaQAHistos(collision, v0, tracks); fillKinematicHists(v0.pt(), v0.eta(), v0.yLambda(), v0.phi()); } else { + // Assign proton Eta Phi + prPx = v0.template negTrack_as().px(); + prPy = v0.template negTrack_as().py(); + prPz = v0.template negTrack_as().pz(); histos.fill(HIST("Tracks/h1f_antilambda_pt_vs_invm"), mass, v0.pt()); fillLambdaQAHistos(collision, v0, tracks); fillKinematicHists(v0.pt(), v0.eta(), v0.yLambda(), v0.phi()); @@ -1112,7 +1100,7 @@ struct LambdaTableProducer { // Fill Lambda/AntiLambda Table lambdaTrackTable(lambdaCollisionTable.lastIndex(), v0.px(), v0.py(), v0.pz(), - v0.pt(), v0.eta(), v0.phi(), v0.yLambda(), mass, + pt, eta, phi, rap, mass, prPx, prPy, prPz, v0.template posTrack_as().index(), v0.template negTrack_as().index(), v0.v0cosPA(), v0.dcaV0daughters(), (int8_t)v0Type, v0PrmScdType, corr_fact); } @@ -1129,8 +1117,8 @@ struct LambdaTableProducer { ParticleType v0Type = kLambda; PrmScdType v0PrmScdType = kPrimary; float rap = 0.; + float prPx = 0., prPy = 0., prPz = 0.; - // Loop over MC particles for (auto const& mcpart : mcParticles) { // check for Lambda first if (mcpart.pdgCode() == kLambda0) { @@ -1170,6 +1158,7 @@ struct LambdaTableProducer { auto dautracks = mcpart.template daughters_as(); std::vector daughterPDGs, daughterIDs; std::vector vDauPt, vDauEta, vDauRap, vDauPhi; + std::vector vDauPx, vDauPy, vDauPz; for (auto const& dautrack : dautracks) { daughterPDGs.push_back(dautrack.pdgCode()); daughterIDs.push_back(dautrack.globalIndex()); @@ -1177,6 +1166,9 @@ struct LambdaTableProducer { vDauEta.push_back(dautrack.eta()); vDauRap.push_back(dautrack.y()); vDauPhi.push_back(dautrack.phi()); + vDauPx.push_back(dautrack.px()); + vDauPy.push_back(dautrack.py()); + vDauPz.push_back(dautrack.pz()); } if (cGenDecayChannel) { // check decay channel if (v0Type == kLambda) { @@ -1193,6 +1185,10 @@ struct LambdaTableProducer { histos.fill(HIST("Tracks/h1f_tracks_info"), kGenLambdaToPrPi); if (v0Type == kLambda) { + // Assign proton p-vec + prPx = vDauPx[0]; + prPy = vDauPy[0]; + prPz = vDauPz[0]; histos.fill(HIST("McGen/h1f_lambda_daughter_PDG"), daughterPDGs[0]); histos.fill(HIST("McGen/h1f_lambda_daughter_PDG"), daughterPDGs[1]); histos.fill(HIST("McGen/h1f_lambda_daughter_PDG"), mcpart.pdgCode()); @@ -1206,6 +1202,10 @@ struct LambdaTableProducer { histos.fill(HIST("McGen/Lambda/Pion/hPhi"), vDauPhi[1]); fillKinematicHists(mcpart.pt(), mcpart.eta(), mcpart.y(), mcpart.phi()); } else { + // Assign anti-proton p-vec + prPx = vDauPx[1]; + prPy = vDauPy[1]; + prPz = vDauPz[1]; histos.fill(HIST("McGen/h1f_antilambda_daughter_PDG"), daughterPDGs[0]); histos.fill(HIST("McGen/h1f_antilambda_daughter_PDG"), daughterPDGs[1]); histos.fill(HIST("McGen/h1f_antilambda_daughter_PDG"), mcpart.pdgCode()); @@ -1222,7 +1222,7 @@ struct LambdaTableProducer { // Fill Lambda McGen Table lambdaMCGenTrackTable(lambdaMCGenCollisionTable.lastIndex(), mcpart.px(), mcpart.py(), mcpart.pz(), - mcpart.pt(), mcpart.eta(), mcpart.phi(), mcpart.y(), RecoDecay::m(mcpart.p(), mcpart.e()), + mcpart.pt(), mcpart.eta(), mcpart.phi(), mcpart.y(), RecoDecay::m(mcpart.p(), mcpart.e()), prPx, prPy, prPz, daughterIDs[0], daughterIDs[1], (int8_t)v0Type, -999., -999., v0PrmScdType, 1.); } } @@ -1251,28 +1251,23 @@ struct LambdaTableProducer { fillLambdaMcGenTables(mcCollision, mcParticles); } - // Collision, tracks and V0s - using CollisionsRun3 = soa::Join; - using CollisionsRun2 = soa::Join; - using Tracks = soa::Join; - using TracksRun2 = soa::Join; - using TracksMC = soa::Join; - using TracksMCRun2 = soa::Join; - using McV0Tracks = soa::Join; - SliceCache cache; Preslice> perCollision = aod::v0data::collisionId; - void processDummy(CollisionsRun3::iterator const&) {} - - PROCESS_SWITCH(LambdaTableProducer, processDummy, "Dummy Process", true); + using CollisionsRun3 = soa::Join; + using CollisionsRun2 = soa::Join; + using Tracks = soa::Join; + using TracksRun2 = soa::Join; + using TracksMC = soa::Join; + using TracksMCRun2 = soa::Join; + using McV0Tracks = soa::Join; void processDataRun3(CollisionsRun3::iterator const& collision, aod::V0Datas const& V0s, Tracks const& tracks) { fillLambdaRecoTables(collision, V0s, tracks); } - PROCESS_SWITCH(LambdaTableProducer, processDataRun3, "Process for Run3 DATA", false); + PROCESS_SWITCH(LambdaTableProducer, processDataRun3, "Process for Run3 DATA", true); void processDataRun2(CollisionsRun2::iterator const& collision, aod::V0Datas const& V0s, TracksRun2 const& tracks) { @@ -1281,18 +1276,6 @@ struct LambdaTableProducer { PROCESS_SWITCH(LambdaTableProducer, processDataRun2, "Process for Run2 DATA", false); - void processMatchEffData(CollisionsRun3::iterator const& collision, Tracks const& tracks) - { - // check collision - if (!selCollision(collision)) { - return; - } - // Get Matching Efficiency - getMatchEffHist(tracks); - } - - PROCESS_SWITCH(LambdaTableProducer, processMatchEffData, "Process for Matching Efficieny Calculation", false); - void processMCRecoRun3(soa::Join::iterator const& collision, aod::McCollisions const&, McV0Tracks const& V0s, TracksMC const& tracks, aod::McParticles const&) { @@ -1317,18 +1300,6 @@ struct LambdaTableProducer { PROCESS_SWITCH(LambdaTableProducer, processMCRecoRun2, "Process for Run2 McReco DATA", false); - void processMatchEffMCReco(soa::Join::iterator const& collision, aod::McCollisions const&, TracksMC const& tracks, aod::McParticles const&) - { - // check collision - if (!selCollision(collision)) { - return; - } - // Get Matching Efficiency - getMatchEffHist(tracks); - } - - PROCESS_SWITCH(LambdaTableProducer, processMatchEffMCReco, "Process for Matching Efficieny Calculation at MC Reconstructed Level", false); - void processMCRun3(aod::McCollisions::iterator const& mcCollision, soa::SmallGroups> const& collisions, McV0Tracks const& V0s, TracksMC const& tracks, @@ -1412,12 +1383,9 @@ struct LambdaTracksExtProducer { } } - void processDummy(aod::LambdaCollisions::iterator const&) {} - - PROCESS_SWITCH(LambdaTracksExtProducer, processDummy, "Dummy Process", true); - - void processLambdaTrackExt(aod::LambdaCollisions::iterator const&, aod::LambdaTracks const& tracks) + void process(aod::LambdaCollisions::iterator const&, aod::LambdaTracks const& tracks) { + int nTotLambda = 0, nTotAntiLambda = 0, nSelLambda = 0, nSelAntiLambda = 0; for (auto const& lambda : tracks) { @@ -1514,8 +1482,162 @@ struct LambdaTracksExtProducer { histos.fill(HIST("h1i_antilambda_mult"), nSelAntiLambda); } } +}; + +struct LambdaSpinCorrelation { + // Global Configurables + Configurable cNPtBins{"cNPtBins", 30, "N pT Bins"}; + Configurable cMinPt{"cMinPt", 0.5, "pT Min"}; + Configurable cMaxPt{"cMaxPt", 3.5, "pT Max"}; + Configurable cNRapBins{"cNRapBins", 10, "N Rapidity Bins"}; + Configurable cMinRap{"cMinRap", -0.5, "Minimum Rapidity"}; + Configurable cMaxRap{"cMaxRap", 0.5, "Maximum Rapidity"}; + Configurable cNPhiBins{"cNPhiBins", 36, "N Phi Bins"}; + Configurable cNBinsCosTS{"cNBinsCosTS", 10, "N CosTS Bins"}; + Configurable cInvBoostFlag{"cInvBoostFlag", true, "Inverse Boost Flag"}; - PROCESS_SWITCH(LambdaTracksExtProducer, processLambdaTrackExt, "Process for lambda track extension", false); + // Centrality Axis + ConfigurableAxis cMultBins{"cMultBins", {VARIABLE_WIDTH, 0.0f, 10.0f, 30.0f, 50.f, 80.0f, 100.f}, "Variable Mult-Bins"}; + + // Histogram Registry. + HistogramRegistry histos{"histos", {}, OutputObjHandlingPolicy::AnalysisObject}; + + // Global variables + float cent = 0.; + + void init(InitContext const&) + { + const AxisSpec axisCheck(1, 0, 1, ""); + const AxisSpec axisPosZ(220, -11, 11, "V_{z} (cm)"); + const AxisSpec axisCent(cMultBins, "FT0M (%)"); + const AxisSpec axisChMult(200, 0, 200, "N_{ch}"); + const AxisSpec axisMult(10, 0, 10, "N_{#Lambda}"); + const AxisSpec axisMass(100, 1.06, 1.16, "M_{#Lambda} (GeV/#it{c}^{2})"); + const AxisSpec axisPt(cNPtBins, cMinPt, cMaxPt, "p_{T} (GeV/#it{c})"); + const AxisSpec axisEta(cNRapBins, cMinRap, cMaxRap, "#eta"); + const AxisSpec axisRap(cNRapBins, cMinRap, cMaxRap, "y"); + const AxisSpec axisPhi(cNPhiBins, 0., TwoPI, "#varphi (rad)"); + const AxisSpec axisDRap(2 * cNRapBins, cMinRap - cMaxRap, cMaxRap - cMinRap, "#Deltay"); + const AxisSpec axisDPhi(cNPhiBins, -PI, PI, "#Delta#varphi"); + const AxisSpec axisCosTS(cNBinsCosTS, -1, 1, "cos(#theta*)"); + const AxisSpec axisDR(10, 0, 2, "#DeltaR"); + + // Single and Two Particle Densities + // 1D Histograms + histos.add("Reco/h2f_n2_mass_LaPLaM", "m_{inv}^{#Lambda} vs m_{inv}^{#bar{#Lambda}}", kTHnSparseF, {axisMass, axisMass, axisPt, axisPt}); + histos.add("Reco/h2f_n2_mass_LaPLaP", "m_{inv}^{#Lambda} vs m_{inv}^{#Lambda}", kTHnSparseF, {axisMass, axisMass, axisPt, axisPt}); + histos.add("Reco/h2f_n2_mass_LaMLaM", "m_{inv}^{#bar{#Lambda}} vs m_{inv}^{#bar{#Lambda}}", kTHnSparseF, {axisMass, axisMass, axisPt, axisPt}); + + // rho2 for C2 + histos.add("RecoCorr/h2f_n2_dlta_LaPLaM", "#rho_{2}^{#Lambda#bar{#Lambda}}", kTHnSparseF, {axisCent, axisDRap, axisDPhi, axisDR}); + histos.add("RecoCorr/h2f_n2_dlta_LaPLaP", "#rho_{2}^{#Lambda#Lambda}", kTHnSparseF, {axisCent, axisDRap, axisDPhi, axisDR}); + histos.add("RecoCorr/h2f_n2_dlta_LaMLaM", "#rho_{2}^{#bar{#Lambda}#bar{#Lambda}}", kTHnSparseF, {axisCent, axisDRap, axisDPhi, axisCosTS}); + histos.add("RecoCorr/h2f_n2_cphi_LaPLaM", "#rho_{2}^{#Lambda#bar{#Lambda}}", kTHnSparseF, {axisCent, axisDRap, axisDPhi, axisCosTS}); + histos.add("RecoCorr/h2f_n2_cphi_LaPLaP", "#rho_{2}^{#Lambda#Lambda}", kTHnSparseF, {axisCent, axisDRap, axisDPhi, axisCosTS}); + histos.add("RecoCorr/h2f_n2_cphi_LaMLaM", "#rho_{2}^{#bar{#Lambda}#bar{#Lambda}}", kTHnSparseF, {axisCent, axisDRap, axisDPhi, axisCosTS}); + histos.add("RecoCorr/h2f_n2_dphi_LaPLaM", "#rho_{2}^{#Lambda#bar{#Lambda}}", kTHnSparseF, {axisCent, axisDRap, axisDPhi, axisDPhi}); + histos.add("RecoCorr/h2f_n2_dphi_LaPLaP", "#rho_{2}^{#Lambda#Lambda}", kTHnSparseF, {axisCent, axisDRap, axisDPhi, axisDPhi}); + histos.add("RecoCorr/h2f_n2_dphi_LaMLaM", "#rho_{2}^{#bar{#Lambda}#bar{#Lambda}}", kTHnSparseF, {axisCent, axisDRap, axisDPhi, axisDPhi}); + } + + void getBoostVector(std::array const& p, std::array& v, bool inverseBoostFlag = true) + { + int n = p.size(); + for (int i = 0; i < n - 1; ++i) { + if (inverseBoostFlag) { + v[i] = -p[i] / RecoDecay::e(p[0], p[1], p[2], p[3]); + } else { + v[i] = p[i] / RecoDecay::e(p[0], p[1], p[2], p[3]); + } + } + } + + void boost(std::array& p, std::array const& b) + { + float e = RecoDecay::e(p[0], p[1], p[2], p[3]); + float b2 = b[0] * b[0] + b[1] * b[1] + b[2] * b[2]; + float gamma = 1. / std::sqrt(1 - b2); + float bp = b[0] * p[0] + b[1] * p[1] + b[2] * p[2]; + float gamma2 = b2 > 0 ? (gamma - 1.) / b2 : 0.; + + p[0] = p[0] + gamma2 * bp * b[0] + gamma * b[0] * e; + p[1] = p[1] + gamma2 * bp * b[1] + gamma * b[1] * e; + p[2] = p[2] + gamma2 * bp * b[2] + gamma * b[2] * e; + } + + template + void fillPairHistos(U& p1, U& p2) + { + static constexpr std::string_view SubDirHist[] = {"LaPLaM", "LaPLaP", "LaMLaM"}; + + // Fill lambda pair mass + histos.fill(HIST("Reco/h2f_n2_mass_") + HIST(SubDirHist[part_pair]), p1.mass(), p2.mass(), p1.pt(), p2.pt()); + float drap = p1.rap() - p2.rap(); + float dphi = RecoDecay::constrainAngle(p1.phi() - p2.phi(), -PI); + + // Get Lambda-Proton four-momentum + std::array l1 = {p1.px(), p1.py(), p1.pz(), MassLambda0}; + std::array l2 = {p2.px(), p2.py(), p2.pz(), MassLambda0}; + std::array pr1 = {p1.prPx(), p1.prPy(), p1.prPz(), MassProton}; + std::array pr2 = {p2.prPx(), p2.prPy(), p2.prPz(), MassProton}; + std::array v1, v2; + getBoostVector(l1, v1, cInvBoostFlag); + getBoostVector(l2, v2, cInvBoostFlag); + boost(pr1, v1); + boost(pr2, v2); + + std::array pr1tv = {pr1[0], pr1[1], pr1[2]}; + std::array pr2tv = {pr2[0], pr2[1], pr2[2]}; + float cphi = RecoDecay::dotProd(pr1tv, pr2tv) / (RecoDecay::sqrtSumOfSquares(pr1tv[0], pr1tv[1], pr1tv[2]) * RecoDecay::sqrtSumOfSquares(pr2tv[0], pr2tv[1], pr2tv[2])); + float prdphi = RecoDecay::constrainAngle(RecoDecay::phi(pr1) - RecoDecay::phi(pr2), -PI); + float prdrap = RecoDecay::eta(pr1tv) - RecoDecay::eta(pr2tv); + float dr = std::sqrt(prdrap * prdrap + prdphi * prdphi); + + // Fill pair density + histos.fill(HIST("RecoCorr/h2f_n2_dphi_") + HIST(SubDirHist[part_pair]), cent, drap, dphi, RecoDecay::constrainAngle(RecoDecay::phi(pr1) - RecoDecay::phi(pr2), -PI)); + histos.fill(HIST("RecoCorr/h2f_n2_cphi_") + HIST(SubDirHist[part_pair]), cent, drap, dphi, cphi); + histos.fill(HIST("RecoCorr/h2f_n2_dlta_") + HIST(SubDirHist[part_pair]), cent, drap, dphi, dr); + } + + template + void analyzePairs(T const& trks_1, T const& trks_2) + { + for (auto const& trk_1 : trks_1) { + for (auto const& trk_2 : trks_2) { + // check for same index for Lambda-Lambda / AntiLambda-AntiLambda + if (samelambda && ((trk_1.index() == trk_2.index()))) { + continue; + } + fillPairHistos(trk_1, trk_2); + } + } + } + + // Initialize tables + using LambdaCollisions = aod::LambdaCollisions; + using LambdaTracks = soa::Join; + + SliceCache cache; + Partition partLambdaTracks = (aod::lambdatrack::v0Type == (int8_t)kLambda) && (aod::lambdatrackext::trueLambdaFlag == true) && (aod::lambdatrack::v0PrmScd == (int8_t)kPrimary); + Partition partAntiLambdaTracks = (aod::lambdatrack::v0Type == (int8_t)kAntiLambda) && (aod::lambdatrackext::trueLambdaFlag == true) && (aod::lambdatrack::v0PrmScd == (int8_t)kPrimary); + + void processDummy(LambdaCollisions::iterator const&) {} + + PROCESS_SWITCH(LambdaSpinCorrelation, processDummy, "Dummy process", true); + + void processDataReco(LambdaCollisions::iterator const& collision, LambdaTracks const&) + { + // assign centrality + cent = collision.cent(); + + auto lambdaTracks = partLambdaTracks->sliceByCached(aod::lambdatrack::lambdaCollisionId, collision.globalIndex(), cache); + auto antiLambdaTracks = partAntiLambdaTracks->sliceByCached(aod::lambdatrack::lambdaCollisionId, collision.globalIndex(), cache); + analyzePairs(lambdaTracks, antiLambdaTracks); + analyzePairs(lambdaTracks, lambdaTracks); + analyzePairs(antiLambdaTracks, antiLambdaTracks); + } + + PROCESS_SWITCH(LambdaSpinCorrelation, processDataReco, "Process for Data and MCReco", false); }; struct LambdaR2Correlation { @@ -1535,7 +1657,7 @@ struct LambdaR2Correlation { Configurable cDoEtaAnalysis{"cDoEtaAnalysis", false, "Eta/Rap Analysis Flag"}; // Centrality Axis - ConfigurableAxis cCentBins{"cCentBins", {VARIABLE_WIDTH, 0.0f, 10.0f, 20.0f, 50.f, 80.0f, 100.f}, "Variable Mult-Bins"}; + ConfigurableAxis cMultBins{"cMultBins", {VARIABLE_WIDTH, 0.0f, 10.0f, 30.0f, 50.f, 80.0f, 100.f}, "Variable Mult-Bins"}; // Histogram Registry. HistogramRegistry histos{"histos", {}, OutputObjHandlingPolicy::AnalysisObject}; @@ -1569,7 +1691,7 @@ struct LambdaR2Correlation { const AxisSpec axisCheck(1, 0, 1, ""); const AxisSpec axisPosZ(220, -11, 11, "V_{z} (cm)"); - const AxisSpec axisCent(cCentBins, "FT0C (%)"); + const AxisSpec axisCent(cMultBins, "FT0M (%)"); const AxisSpec axisChMult(200, 0, 200, "N_{ch}"); const AxisSpec axisMult(10, 0, 10, "N_{#Lambda}"); const AxisSpec axisMass(100, 1.06, 1.16, "M_{#Lambda} (GeV/#it{c}^{2})"); @@ -1584,14 +1706,16 @@ struct LambdaR2Correlation { // Event histos.add("Event/Reco/h1f_collision_posz", "V_{Z} Distribution", kTH1F, {axisPosZ}); histos.add("Event/Reco/h1f_ft0m_mult_percentile", "FT0M (%)", kTH1F, {axisCent}); - histos.add("Event/Reco/h2f_Mult_vs_Centrality", "N_{ch} vs FT0M(%)", kTProfile, {axisCent}); - histos.add("Event/Reco/h2f_lambda_mult", "#Lambda - Multiplicity", kTProfile, {axisCent}); - histos.add("Event/Reco/h2f_antilambda_mult", "#bar{#Lambda} - Multiplicity", kTProfile, {axisCent}); + histos.add("Event/Reco/h2f_Mult_vs_Centrality", "N_{ch} vs FT0M(%)", kTH2F, {axisCent, axisChMult}); + histos.add("Event/Reco/h2f_lambda_mult", "#Lambda - Multiplicity", kTH2F, {axisCent, axisMult}); + histos.add("Event/Reco/h2f_antilambda_mult", "#bar{#Lambda} - Multiplicity", kTH2F, {axisCent, axisMult}); // Efficiency Histograms // Single Particle Efficiencies histos.add("Reco/Primary/Efficiency/h2f_n1_centpt_LaP", "#rho_{1}^{#Lambda}", kTH2F, {axisCent, axisPt}); histos.add("Reco/Primary/Efficiency/h2f_n1_centpt_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH2F, {axisCent, axisPt}); + histos.add("Reco/Primary/Efficiency/h3f_n1_centpteta_LaP", "#rho_{1}^{#Lambda}", kTH3F, {axisCent, axisPt, axisEta}); + histos.add("Reco/Primary/Efficiency/h3f_n1_centpteta_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH3F, {axisCent, axisPt, axisEta}); histos.add("Reco/Primary/Efficiency/h3f_n1_centptrap_LaP", "#rho_{1}^{#Lambda}", kTH3F, {axisCent, axisPt, axisRap}); histos.add("Reco/Primary/Efficiency/h3f_n1_centptrap_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH3F, {axisCent, axisPt, axisRap}); @@ -1599,16 +1723,22 @@ struct LambdaR2Correlation { // 1D Histograms histos.add("Reco/Primary/h3f_n1_centmasspt_LaP", "#rho_{1}^{#Lambda}", kTH3F, {axisCent, axisMass, axisPt}); histos.add("Reco/Primary/h3f_n1_centmasspt_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH3F, {axisCent, axisMass, axisPt}); - histos.add("Reco/Primary/h4f_n1_ptrapphi_LaP", "#rho_{1}^{#Lambda}", kTHnSparseF, {axisCent, axisPt, axisRap, axisPhi}); - histos.add("Reco/Primary/h4f_n1_ptrapphi_LaM", "#rho_{1}^{#bar{#Lambda}}", kTHnSparseF, {axisCent, axisPt, axisRap, axisPhi}); + histos.add("Reco/Primary/h2f_n1_pt_LaP", "#rho_{1}^{#Lambda}", kTH2F, {axisCent, axisPt}); + histos.add("Reco/Primary/h2f_n1_pt_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH2F, {axisCent, axisPt}); + histos.add("Reco/Primary/h2f_n1_eta_LaP", "#rho_{1}^{#Lambda}", kTH2F, {axisCent, axisEta}); + histos.add("Reco/Primary/h2f_n1_eta_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH2F, {axisCent, axisEta}); + histos.add("Reco/Primary/h2f_n1_rap_LaP", "#rho_{1}^{#Lambda}", kTH2F, {axisCent, axisRap}); + histos.add("Reco/Primary/h2f_n1_rap_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH2F, {axisCent, axisRap}); + histos.add("Reco/Primary/h2f_n1_phi_LaP", "#rho_{1}^{#Lambda}", kTH2F, {axisCent, axisPhi}); + histos.add("Reco/Primary/h2f_n1_phi_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH2F, {axisCent, axisPhi}); // rho1 for R2 RapPhi histos.add("Reco/Primary/h3f_n1_rapphi_LaP", "#rho_{1}^{#Lambda}", kTH3F, {axisCent, axisRap, axisPhi}); histos.add("Reco/Primary/h3f_n1_rapphi_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH3F, {axisCent, axisRap, axisPhi}); // rho1 for Q_{inv} - histos.add("Reco/Primary/h3f_n1_ptrapphi_LaP", "#rho_{1}^{#Lambda}", kTH3F, {axisCent, axisPt, axisRapPhi}); - histos.add("Reco/Primary/h3f_n1_ptrapphi_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH3F, {axisCent, axisPt, axisRapPhi}); + histos.add("Reco/Primary/h3f_n1_pteta_LaP", "#rho_{1}^{#Lambda}", kTH3F, {axisCent, axisPt, axisEta}); + histos.add("Reco/Primary/h3f_n1_pteta_LaM", "#rho_{1}^{#bar{#Lambda}}", kTH3F, {axisCent, axisPt, axisEta}); // Clone Singles Primary/Secondary Histogram if (cAnaSecondaries) { @@ -1630,9 +1760,9 @@ struct LambdaR2Correlation { histos.add("Reco/PP/h3f_n2_rapphi_LaM_LaM", "#rho_{2}^{#bar{#Lambda}#bar{#Lambda}}", kTH3F, {axisCent, axisRapPhi, axisRapPhi}); // rho2 for R2 Qinv - histos.add("Reco/PP/h3f_n2_qinv_LaP_LaM", "#rho_{2}^{#Lambda#bar{#Lambda}}", kTHnSparseF, {axisCent, axisPt, axisRapPhi, axisQinv}); - histos.add("Reco/PP/h3f_n2_qinv_LaP_LaP", "#rho_{2}^{#Lambda#Lambda}", kTHnSparseF, {axisCent, axisPt, axisRapPhi, axisQinv}); - histos.add("Reco/PP/h3f_n2_qinv_LaM_LaM", "#rho_{2}^{#bar{#Lambda}#bar{#Lambda}}", kTHnSparseF, {axisCent, axisPt, axisRapPhi, axisQinv}); + histos.add("Reco/PP/h2f_n2_qinv_LaP_LaM", "#rho_{2}^{#Lambda#bar{#Lambda}}", kTH2F, {axisCent, axisQinv}); + histos.add("Reco/PP/h2f_n2_qinv_LaP_LaP", "#rho_{2}^{#Lambda#Lambda}", kTH2F, {axisCent, axisQinv}); + histos.add("Reco/PP/h2f_n2_qinv_LaM_LaM", "#rho_{2}^{#bar{#Lambda}#bar{#Lambda}}", kTH2F, {axisCent, axisQinv}); // Clone Pairs Histograms if (cAnaSecondaryPairs) { @@ -1649,21 +1779,6 @@ struct LambdaR2Correlation { } } - // Rap-Phi Bin Index - int getRapPhiBin(float const& rap, float const& phi) - { - int rapbin = static_cast((rap - kminrap) / rapbinwidth); - int phibin = static_cast(phi / phibinwidth); - - int rapphibin = -99; - if (rapbin >= 0 && phibin >= 0 && rapbin < nrapbins && phibin < nphibins) { - rapphibin = rapbin * nphibins + phibin; - return rapphibin; - } - - return rapphibin; - } - template void fillPairHistos(U& p1, U& p2) { @@ -1698,7 +1813,7 @@ struct LambdaR2Correlation { q = RecoDecay::p((p1.px() - p2.px()), (p1.py() - p2.py()), (p1.pz() - p2.pz())); e = RecoDecay::e(p1.px(), p1.py(), p1.pz(), MassLambda0) - RecoDecay::e(p2.px(), p2.py(), p2.pz(), MassLambda0); qinv = std::sqrt(-RecoDecay::m2(q, e)); - histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[psp]) + HIST("h3f_n2_qinv_") + HIST(SubDirHist[part_pair]), cent, p1.pt(), getRapPhiBin(p1.rap(), p1.phi()), qinv, corfac); + histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[psp]) + HIST("h2f_n2_qinv_") + HIST(SubDirHist[part_pair]), cent, qinv, corfac); } template @@ -1716,17 +1831,21 @@ struct LambdaR2Correlation { // Efficiency Plots histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("Efficiency/h2f_n1_centpt_") + HIST(SubDirHist[part]), cent, track.pt()); + histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("Efficiency/h3f_n1_centpteta_") + HIST(SubDirHist[part]), cent, track.pt(), track.eta()); histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("Efficiency/h3f_n1_centptrap_") + HIST(SubDirHist[part]), cent, track.pt(), track.rap()); // QA Plots histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("h3f_n1_centmasspt_") + HIST(SubDirHist[part]), cent, track.mass(), track.pt()); - histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("h4f_n1_ptrapphi_") + HIST(SubDirHist[part]), cent, track.pt(), track.rap(), track.phi(), track.corrFact()); + histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("h2f_n1_pt_") + HIST(SubDirHist[part]), cent, track.pt(), track.corrFact()); + histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("h2f_n1_eta_") + HIST(SubDirHist[part]), cent, track.eta(), track.corrFact()); + histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("h2f_n1_phi_") + HIST(SubDirHist[part]), cent, track.phi(), track.corrFact()); + histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("h2f_n1_rap_") + HIST(SubDirHist[part]), cent, track.rap(), track.corrFact()); // Rho1 for N1RapPhi histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("h3f_n1_rapphi_") + HIST(SubDirHist[part]), cent, track.rap(), track.phi(), track.corrFact()); - // Rho1 for Q_{inv} - histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("h3f_n1_ptrapphi_") + HIST(SubDirHist[part]), cent, track.pt(), getRapPhiBin(track.rap(), track.phi()), track.corrFact()); + // Rho1 for Q_{inv} Bkg Estimation + histos.fill(HIST(SubDirRecGen[rec_gen]) + HIST(SubDirPrmScd[pst]) + HIST("h3f_n1_pteta_") + HIST(SubDirHist[part]), cent, track.pt(), track.eta(), track.corrFact()); } // fill multiplicity histograms @@ -1762,10 +1881,6 @@ struct LambdaR2Correlation { Partition partSecdLambdaTracks = (aod::lambdatrack::v0Type == (int8_t)kLambda) && (aod::lambdatrackext::trueLambdaFlag == true) && (aod::lambdatrack::v0PrmScd == (int8_t)kSecondary); Partition partSecdAntiLambdaTracks = (aod::lambdatrack::v0Type == (int8_t)kAntiLambda) && (aod::lambdatrackext::trueLambdaFlag == true) && (aod::lambdatrack::v0PrmScd == (int8_t)kSecondary); - void processDummy(aod::LambdaCollisions::iterator const&) {} - - PROCESS_SWITCH(LambdaR2Correlation, processDummy, "Dummy Process", true); - void processDataReco(LambdaCollisions::iterator const& collision, LambdaTracks const&) { histos.fill(HIST("Event/Reco/h1f_collision_posz"), collision.posZ()); @@ -1808,7 +1923,7 @@ struct LambdaR2Correlation { } } - PROCESS_SWITCH(LambdaR2Correlation, processDataReco, "Process for Data and MCReco", false); + PROCESS_SWITCH(LambdaR2Correlation, processDataReco, "Process for Data and MCReco", true); using LambdaMcGenCollisions = aod::LambdaMcGenCollisions; using LambdaMcGenTracks = aod::LambdaMcGenTracks; @@ -1869,5 +1984,6 @@ WorkflowSpec defineDataProcessing(ConfigContext const& cfgc) return WorkflowSpec{ adaptAnalysisTask(cfgc), adaptAnalysisTask(cfgc), + adaptAnalysisTask(cfgc), adaptAnalysisTask(cfgc)}; }