/************************************************************************** * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * * * * Author: The ALICE Off-line Project. * * Contributors are mentioned in the code where appropriate. * * * * Permission to use, copy, modify and distribute this software and its * * documentation strictly for non-commercial purposes is hereby granted * * without fee, provided that the above copyright notice appears in all * * copies and that both the copyright notice and this permission notice * * appear in the supporting documentation. The authors make no claims * * about the suitability of this software for any purpose. It is * * provided "as is" without express or implied warranty. * **************************************************************************/ /* * Jet V2 task * * this task is part of the emcal jet framework and should be run in the emcaljet train * the following extensions to an accepted AliVEvent are expected: * - (anti-kt) jets * - background estimate rho * - pico tracks * aod's and esd's are handled transparently * the task will attempt to estimate a phi-dependent background density rho * by fitting vn harmonics to the dpt/dphi distribution * * author: Redmer Alexander Bertens, Utrecht Univeristy, Utrecht, Netherlands * rbertens@cern.ch, rbertens@nikhef.nl, r.a.bertens@uu.nl */ // root includes #include <TStyle.h> #include <TRandom3.h> #include <TChain.h> #include <TMath.h> #include <TF1.h> #include <TF2.h> #include <TH1F.h> #include <TH2F.h> #include <TH3F.h> #include <TProfile.h> #include <TFile.h> // aliroot includes #include <AliAnalysisTask.h> #include <AliAnalysisManager.h> #include <AliCentrality.h> #include <AliVVertex.h> #include <AliVTrack.h> #include <AliVVZERO.h> #include <AliESDEvent.h> #include <AliAODEvent.h> #include <AliAODTrack.h> #include <AliOADBContainer.h> //#include <AliVEventHandler.h> #include <AliInputEventHandler.h> // emcal jet framework includes #include <AliPicoTrack.h> #include <AliEmcalJet.h> #include <AliRhoParameter.h> #include <AliLocalRhoParameter.h> #include <AliAnalysisTaskJetV2.h> #include <AliClusterContainer.h> class AliAnalysisTaskJetV2; using namespace std; ClassImp(AliAnalysisTaskJetV2) AliAnalysisTaskJetV2::AliAnalysisTaskJetV2() : AliAnalysisTaskEmcalJet("AliAnalysisTaskJetV2", kTRUE), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fEventPlaneWeights(0), fAcceptanceWeights(kFALSE), fEventPlaneWeight(1.), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fLeadingJetAfterSub(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kVZEROComb), fAnalysisType(kCharged), fFitModulationOptions("QWLI"), fRunModeType(kGrid), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fRunNumber(-1), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameSmallRho(""), fCachedRho(0), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(0), fHistCentralityPercIn(0), fHistCentralityPercOut(0), fHistCentralityPercLost(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvalueCDFROOT(0), fHistPvalueCDFROOTCent(0), fHistChi2ROOTCent(0), fHistPChi2Root(0), fHistPvalueCDF(0), fHistPvalueCDFCent(0), fHistChi2Cent(0), fHistPChi2(0), fHistKolmogorovTest(0), fHistKolmogorovTestCent(0), fHistPKolmogorov(0), fHistRhoStatusCent(0), fHistUndeterminedRunQA(0), fMinDisanceRCtoLJ(0), fMaxCones(-1), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfV2(0), fProfV2Cumulant(0), fProfV3(0), fProfV3Cumulant(0), fHistPsiControl(0), fHistPsiSpread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiVZERO(0), fHistPsiTPC(0), fHistPsiVZEROAV0M(0), fHistPsiVZEROCV0M(0), fHistPsiVZEROVV0M(0), fHistPsiTPCV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0), fVZEROgainEqualization(0x0), fVZEROgainEqualizationPerRing(kFALSE), fChi2A(0x0), fChi2C(0x0), fChi3A(0x0), fChi3C(0x0), fOADB(0x0) { for(Int_t i(0); i < 10; i++) { fProfV2Resolution[i] = 0; fProfV3Resolution[i] = 0; fHistPicoTrackPt[i] = 0; fHistPicoTrackMult[i] = 0; fHistPicoCat1[i] = 0; fHistPicoCat2[i] = 0; fHistPicoCat3[i] = 0; fHistClusterPt[i] = 0; fHistClusterEtaPhi[i] = 0; fHistClusterEtaPhiWeighted[i] = 0; fHistTriggerQAIn[i] = 0; fHistTriggerQAOut[i] = 0; fHistPsiTPCLeadingJet[i] = 0; fHistPsiVZEROALeadingJet[i] = 0; fHistPsiVZEROCLeadingJet[i] = 0; fHistPsiVZEROCombLeadingJet[i] = 0; fHistPsi2Correlation[i] = 0; fHistLeadingJetBackground[i] = 0; fHistRhoPackage[i] = 0; fHistRho[i] = 0; fHistRCPhiEta[i] = 0; fHistRhoVsRCPt[i] = 0; fHistRCPt[i] = 0; fHistDeltaPtDeltaPhi2[i] = 0; fHistDeltaPtDeltaPhi2Rho0[i] = 0; fHistRCPhiEtaExLJ[i] = 0; fHistRhoVsRCPtExLJ[i] = 0; fHistRCPtExLJ[i] = 0; fHistDeltaPtDeltaPhi2ExLJ[i] = 0; fHistDeltaPtDeltaPhi2ExLJRho0[i] = 0; fHistJetPtRaw[i] = 0; fHistJetPt[i] = 0; fHistJetEtaPhi[i] = 0; fHistJetPtArea[i] = 0; fHistJetPtEta[i] = 0; fHistJetPtConstituents[i] = 0; fHistJetEtaRho[i] = 0; fHistJetPsi2Pt[i] = 0; fHistJetPsi2PtRho0[i] = 0; } for(Int_t i(0); i < 9; i++) { for(Int_t j(0); j < 2; j++) { for(Int_t k(0); k < 2; k++) { fMeanQ[i][j][k] = 0.; fWidthQ[i][j][k] = 0.; fMeanQv3[i][j][k] = 0.; fWidthQv3[i][j][k] = 0.; } } } for(Int_t i(0); i < 4; i++) { fVZEROApol[i] = 0.; fVZEROCpol[i] = 0.; } for(Int_t i(0); i < 8; i++) fUseVZERORing[i] = kTRUE; // default constructor } //_____________________________________________________________________________ AliAnalysisTaskJetV2::AliAnalysisTaskJetV2(const char* name, runModeType type) : AliAnalysisTaskEmcalJet(name, kTRUE), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fEventPlaneWeights(0), fAcceptanceWeights(kFALSE), fEventPlaneWeight(1.), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fLeadingJetAfterSub(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kVZEROComb), fAnalysisType(kCharged), fFitModulationOptions("QWLI"), fRunModeType(type), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fRunNumber(-1), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameSmallRho(""), fCachedRho(0), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(0), fHistCentralityPercIn(0), fHistCentralityPercOut(0), fHistCentralityPercLost(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvalueCDFROOT(0), fHistPvalueCDFROOTCent(0), fHistChi2ROOTCent(0), fHistPChi2Root(0), fHistPvalueCDF(0), fHistPvalueCDFCent(0), fHistChi2Cent(0), fHistPChi2(0), fHistKolmogorovTest(0), fHistKolmogorovTestCent(0), fHistPKolmogorov(0), fHistRhoStatusCent(0), fHistUndeterminedRunQA(0), fMinDisanceRCtoLJ(0), fMaxCones(-1), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfV2(0), fProfV2Cumulant(0), fProfV3(0), fProfV3Cumulant(0), fHistPsiControl(0), fHistPsiSpread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiVZERO(0), fHistPsiTPC(0), fHistPsiVZEROAV0M(0), fHistPsiVZEROCV0M(0), fHistPsiVZEROVV0M(0), fHistPsiTPCV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0), fVZEROgainEqualization(0x0), fVZEROgainEqualizationPerRing(kFALSE), fChi2A(0x0), fChi2C(0x0), fChi3A(0x0), fChi3C(0x0), fOADB(0x0) { for(Int_t i(0); i < 10; i++) { fProfV2Resolution[i] = 0; fProfV3Resolution[i] = 0; fHistPicoTrackPt[i] = 0; fHistPicoTrackMult[i] = 0; fHistPicoCat1[i] = 0; fHistPicoCat2[i] = 0; fHistPicoCat3[i] = 0; fHistClusterPt[i] = 0; fHistClusterEtaPhi[i] = 0; fHistClusterEtaPhiWeighted[i] = 0; fHistTriggerQAIn[i] = 0; fHistTriggerQAOut[i] = 0; fHistPsiTPCLeadingJet[i] = 0; fHistPsiVZEROALeadingJet[i] = 0; fHistPsiVZEROCLeadingJet[i] = 0; fHistPsiVZEROCombLeadingJet[i] = 0; fHistPsi2Correlation[i] = 0; fHistLeadingJetBackground[i] = 0; fHistRhoPackage[i] = 0; fHistRho[i] = 0; fHistRCPhiEta[i] = 0; fHistRhoVsRCPt[i] = 0; fHistRCPt[i] = 0; fHistDeltaPtDeltaPhi2[i] = 0; fHistDeltaPtDeltaPhi2Rho0[i] = 0; fHistRCPhiEtaExLJ[i] = 0; fHistRhoVsRCPtExLJ[i] = 0; fHistRCPtExLJ[i] = 0; fHistDeltaPtDeltaPhi2ExLJ[i] = 0; fHistDeltaPtDeltaPhi2ExLJRho0[i] = 0; fHistJetPtRaw[i] = 0; fHistJetPt[i] = 0; fHistJetEtaPhi[i] = 0; fHistJetPtArea[i] = 0; fHistJetPtEta[i] = 0; fHistJetPtConstituents[i] = 0; fHistJetEtaRho[i] = 0; fHistJetPsi2Pt[i] = 0; fHistJetPsi2PtRho0[i] = 0; } for(Int_t i(0); i < 9; i++) { for(Int_t j(0); j < 2; j++) { for(Int_t k(0); k < 2; k++) { fMeanQ[i][j][k] = 0.; fWidthQ[i][j][k] = 0.; fMeanQv3[i][j][k] = 0.; fWidthQv3[i][j][k] = 0.; } } } for(Int_t i(0); i < 4; i++) { fVZEROApol[i] = 0.; fVZEROCpol[i] = 0.; } for(Int_t i(0); i < 8; i++) fUseVZERORing[i] = kTRUE; // constructor DefineInput(0, TChain::Class()); DefineOutput(1, TList::Class()); switch (fRunModeType) { case kLocal : { gStyle->SetOptFit(1); DefineOutput(2, TList::Class()); DefineOutput(3, TList::Class()); } break; default: break; } switch (fCollisionType) { case kPythia : { fFitModulationType = kNoFit; } break; default : break; } if(fLocalRhoName=="") fLocalRhoName = Form("LocalRhoFrom_%s", GetName()); } //_____________________________________________________________________________ AliAnalysisTaskJetV2::~AliAnalysisTaskJetV2() { // destructor #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(fOutputList) {delete fOutputList; fOutputList = 0x0;} if(fOutputListGood) {delete fOutputListGood; fOutputListGood = 0x0;} if(fOutputListBad) {delete fOutputListBad; fOutputListBad = 0x0;} if(fFitModulation) {delete fFitModulation; fFitModulation = 0x0;} if(fHistSwap) {delete fHistSwap; fHistSwap = 0x0;} if(fCentralityClasses) {delete fCentralityClasses; fCentralityClasses = 0x0;} if(fExpectedRuns) {delete fExpectedRuns; fExpectedRuns = 0x0;} if(fExpectedSemiGoodRuns) {delete fExpectedSemiGoodRuns; fExpectedSemiGoodRuns = 0x0;} if(fFitControl) {delete fFitControl; fFitControl = 0x0;} if(fVZEROgainEqualization) {delete fVZEROgainEqualization; fVZEROgainEqualization = 0x0;} if(fChi2A) {delete fChi2A; fChi2A = 0x0;} if(fChi2C) {delete fChi2C; fChi2C = 0x0;} if(fChi3A) {delete fChi3A; fChi3A = 0x0;} if(fChi3C) {delete fChi3C; fChi3C = 0x0;} if(fOADB && !fOADB->IsZombie()) { fOADB->Close(); fOADB = 0x0; } else if (fOADB) fOADB = 0x0; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::ExecOnce() { // Init the analysis #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif fLocalRho = new AliLocalRhoParameter(fLocalRhoName.Data(), 0); if(fAttachToEvent) { if(!(InputEvent()->FindListObject(fLocalRho->GetName()))) { InputEvent()->AddObject(fLocalRho); } else { AliFatal(Form("%s: Container with name %s already present. Aborting", GetName(), fLocalRho->GetName())); } } AliAnalysisTaskEmcalJet::ExecOnce(); // init the base class AliAnalysisTaskEmcalJet::SetVzRange(-1.*fAbsVertexZ, fAbsVertexZ); if(!GetJetContainer()) AliFatal(Form("%s: Couldn't find jet container. Aborting !", GetName())); } //_____________________________________________________________________________ Bool_t AliAnalysisTaskJetV2::Notify() { // determine the run number to see if the track and jet cuts should be refreshed for semi-good TPC runs #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(fRunNumber != InputEvent()->GetRunNumber()) { fRunNumber = InputEvent()->GetRunNumber(); // set the current run number #ifdef DEBUGTASK printf("__FUNC__ %s > NEW RUNNUMBER DETECTED \n ", __func__); #endif // check if this is 10h or 11h data switch (fCollisionType) { case kPbPb10h : { #ifdef DEBUGTASK printf(" LHC10h data, assuming full acceptance, reading VZERO calibration DB \n "); #endif // for 10h data the vzero event plane calibration needs to be cached ReadVZEROCalibration2010h(); // no need to change rho or acceptance for 10h, so we're done return kTRUE; } break; case kJetFlowMC : { return kTRUE; } break; default : { #ifdef DEBUGTASK printf(" checking runnumber to adjust acceptance on the fly \n"); #endif } break; } // reset the cuts. should be a pointless operation except for the case where the run number changes // from semi-good back to good on one node, which is not a likely scenario (unless trains will // run as one masterjob) switch (fAnalysisType) { case kCharged: { AliAnalysisTaskEmcalJet::SetJetPhiLimits(-10., 10.); } break; case kFull: { AliAnalysisTaskEmcalJet::SetJetPhiLimits(1.405 + GetJetRadius(), 3.135 - GetJetRadius()); } break; default: { AliAnalysisTaskEmcal::SetTrackPhiLimits(-10., 10.); } break; } if(fCachedRho) { // if there's a cached rho, it's the default, so switch back #ifdef DEBUGTASK printf("__FUNC__ %s > replacing rho with cached rho \n ", __func__); #endif fRho = fCachedRho; // reset rho back to cached value. again, should be pointless } Bool_t flaggedAsSemiGood(kFALSE); // not flagged as anything for(Int_t i(0); i < fExpectedSemiGoodRuns->GetSize(); i++) { if(fExpectedSemiGoodRuns->At(i) == fRunNumber) { // run is semi-good #ifdef DEBUGTASK printf("__FUNC__ %s > semi-good tpc run detected, adjusting acceptance \n ", __func__); #endif flaggedAsSemiGood = kTRUE; switch (fAnalysisType) { // for full jets the jet acceptance does not have to be changed as emcal does not // cover the tpc low voltage readout strips case kCharged: { AliAnalysisTaskEmcalJet::SetJetPhiLimits(fSemiGoodJetMinPhi, fSemiGoodJetMaxPhi); // just an acceptance cut, jets are obtained from full azimuth, so no edge effects } break; default: break; } AliAnalysisTaskEmcal::SetTrackPhiLimits(fSemiGoodTrackMinPhi, fSemiGoodTrackMaxPhi); // only affects vn extraction, NOT jet finding // for semi-good runs, also try to get the 'small rho' estimate, if it is available AliRhoParameter* tempRho(dynamic_cast<AliRhoParameter*>(InputEvent()->FindListObject(fNameSmallRho.Data()))); if(tempRho) { #ifdef DEBUGTASK printf("__FUNC__ %s > switching to small rho, caching normal rho \n ", __func__); #endif fHistAnalysisSummary->SetBinContent(54, 1.); // bookkeep the fact that small rho is used fCachedRho = fRho; // cache the original rho ... fRho = tempRho; // ... and use the small rho } } } if(!flaggedAsSemiGood) { // in case the run is not a semi-good run, check if it is recognized as another run // only done to catch unexpected runs for(Int_t i(0); i < fExpectedRuns->GetSize(); i++) { if(fExpectedRuns->At(i) == fRunNumber) break; // run is known, break the loop else store the number in a random bin fHistUndeterminedRunQA->SetBinContent(TMath::Nint(10.*gRandom->Uniform(0.,.9))+1, fRunNumber); } fHistAnalysisSummary->SetBinContent(53, 1.); // bookkeep which rho estimate is used } } return kTRUE; } //_____________________________________________________________________________ Bool_t AliAnalysisTaskJetV2::InitializeAnalysis() { // initialize the anaysis #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif // if not set, estimate the number of cones that would fit into the selected acceptance if(fMaxCones <= 0) fMaxCones = TMath::CeilNint((TMath::Abs(GetJetContainer()->GetJetEtaMax()-GetJetContainer()->GetJetEtaMin())*TMath::Abs(GetJetContainer()->GetJetPhiMax()-GetJetContainer()->GetJetPhiMin()))/(TMath::Pi()*GetJetRadius()*GetJetRadius())); // manually 'override' the default acceptance cuts of the emcal framework (use with caution) if(fMinDisanceRCtoLJ==0) fMinDisanceRCtoLJ = GetJetRadius(); if(dynamic_cast<AliAODEvent*>(InputEvent())) fDataType = kAOD; // determine the datatype else if(dynamic_cast<AliESDEvent*>(InputEvent())) fDataType = kESD; fHistAnalysisSummary->SetBinContent(36, (int)fDataType); if(!fRandom) fRandom = new TRandom3(0); // set randomizer and random seed switch (fFitModulationType) { case kNoFit : { SetModulationFit(new TF1("fix_kNoFit", "[0]", 0, TMath::TwoPi())); } break; case kV2 : { SetModulationFit(new TF1("fit_kV2", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi())); fFitModulation->SetParameter(0, 0.); // normalization fFitModulation->SetParameter(3, 0.2); // v2 fFitModulation->FixParameter(1, 1.); // constant fFitModulation->FixParameter(2, 2.); // constant } break; case kV3: { SetModulationFit(new TF1("fit_kV3", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi())); fFitModulation->SetParameter(0, 0.); // normalization fFitModulation->SetParameter(3, 0.2); // v3 fFitModulation->FixParameter(1, 1.); // constant fFitModulation->FixParameter(2, 3.); // constant } break; default : { // for the combined fit, the 'direct fourier series' or the user supplied vn values we use v2 and v3 SetModulationFit(new TF1("fit_kCombined", "[0]*([1]+[2]*([3]*TMath::Cos([2]*(x-[4]))+[7]*TMath::Cos([5]*(x-[6]))))", 0, TMath::TwoPi())); fFitModulation->SetParameter(0, 0.); // normalization fFitModulation->SetParameter(3, 0.2); // v2 fFitModulation->FixParameter(1, 1.); // constant fFitModulation->FixParameter(2, 2.); // constant fFitModulation->FixParameter(5, 3.); // constant fFitModulation->SetParameter(7, 0.2); // v3 } break; } switch (fRunModeType) { case kGrid : { fFitModulationOptions += "N0"; } break; default : break; } FillAnalysisSummaryHistogram(); return kTRUE; } //_____________________________________________________________________________ TH1F* AliAnalysisTaskJetV2::BookTH1F(const char* name, const char* x, Int_t bins, Double_t min, Double_t max, Int_t c, Bool_t append) { // book a TH1F and connect it to the output container #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(fReduceBinsXByFactor > 0 ) bins = TMath::Nint(bins/fReduceBinsXByFactor); if(append && !fOutputList) return 0x0; TString title(name); if(c!=-1) { // format centrality dependent histograms accordingly name = Form("%s_%i", name, c); title += Form("_%i-%i", (int)(fCentralityClasses->At(c)), (int)(fCentralityClasses->At((1+c)))); } title += Form(";%s;[counts]", x); TH1F* histogram = new TH1F(name, title.Data(), bins, min, max); histogram->Sumw2(); if(append) fOutputList->Add(histogram); return histogram; } //_____________________________________________________________________________ TH2F* AliAnalysisTaskJetV2::BookTH2F(const char* name, const char* x, const char* y, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t c, Bool_t append) { // book a TH2F and connect it to the output container #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(fReduceBinsXByFactor > 0 ) binsx = TMath::Nint(binsx/fReduceBinsXByFactor); if(fReduceBinsYByFactor > 0 ) binsy = TMath::Nint(binsy/fReduceBinsYByFactor); if(append && !fOutputList) return 0x0; TString title(name); if(c!=-1) { // format centrality dependent histograms accordingly name = Form("%s_%i", name, c); title += Form("_%i-%i", (int)fCentralityClasses->At(c), (int)(fCentralityClasses->At((1+c)))); } title += Form(";%s;%s", x, y); TH2F* histogram = new TH2F(name, title.Data(), binsx, minx, maxx, binsy, miny, maxy); histogram->Sumw2(); if(append) fOutputList->Add(histogram); return histogram; } //_____________________________________________________________________________ TH3F* AliAnalysisTaskJetV2::BookTH3F(const char* name, const char* x, const char* y, const char* z, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t binsz, Double_t minz, Double_t maxz, Int_t c, Bool_t append) { // book a TH2F and connect it to the output container #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(fReduceBinsXByFactor > 0 ) { binsx = TMath::Nint(binsx/fReduceBinsXByFactor); binsy = TMath::Nint(binsy/fReduceBinsXByFactor); binsz = TMath::Nint(binsz/fReduceBinsXByFactor); } if(append && !fOutputList) return 0x0; TString title(name); if(c!=-1) { // format centrality dependent histograms accordingly name = Form("%s_%i", name, c); title += Form("_%i-%i", (int)fCentralityClasses->At(c), (int)(fCentralityClasses->At((1+c)))); } title += Form(";%s;%s;%s", x, y, z); TH3F* histogram = new TH3F(name, title.Data(), binsx, minx, maxx, binsy, miny, maxy, binsz, minz, maxz); histogram->Sumw2(); if(append) fOutputList->Add(histogram); return histogram; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::UserCreateOutputObjects() { // create output objects. also initializes some default values in case they aren't // loaded via the AddTask macro #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif fOutputList = new TList(); fOutputList->SetOwner(kTRUE); if(!fCentralityClasses) { // classes must be defined at this point Double_t c[] = {0., 20., 40., 60., 80., 100.}; fCentralityClasses = new TArrayD(sizeof(c)/sizeof(c[0]), c); } if(!fExpectedRuns) { // expected runs must be defined at this point Int_t r[] = {167813, 167988, 168066, 168068, 168069, 168076, 168104, 168212, 168311, 168322, 168325, 168341, 168361, 168362, 168458, 168460, 168461, 168992, 169091, 169094, 169138, 169143, 169167, 169417, 169835, 169837, 169838, 169846, 169855, 169858, 169859, 169923, 169956, 170027, 170036, 170081, /* up till here original good TPC list */169975, 169981, 170038, 170040, 170083, 170084, 170085, 170088, 170089, 170091, 170152, 170155, 170159, 170163, 170193, 170195, 170203, 170204, 170205, 170228, 170230, 170264, 170268, 170269, 170270, 170306, 170308, 170309, /* original semi-good tpc list */169415, 169411, 169035, 168988, 168984, 168826, 168777, 168512, 168511, 168467, 168464, 168342, 168310, 168115, 168108, 168107, 167987, 167915, 167903, /*new runs, good according to RCT */ 169238, 169160, 169156, 169148, 169145, 169144 /* run swith missing OROC 8 but seem ok in QA */}; fExpectedRuns = new TArrayI(sizeof(r)/sizeof(r[0]), r); } // set default semi-good runs only for 11h data switch (fCollisionType) { case kPbPb10h : break; default : { if(!fExpectedSemiGoodRuns) { Int_t r[] = {169975, 169981, 170038, 170040, 170083, 170084, 170085, 170088, 170089, 170091, 170152, 170155, 170159, 170163, 170193, 170195, 170203, 170204, 170205, 170228, 170230, 170264, 170268, 170269, 170270, 170306, 170308, 170309}; fExpectedSemiGoodRuns = new TArrayI(sizeof(r)/sizeof(r[0]), r); } } } // global QA fHistCentrality = BookTH1F("fHistCentrality", "centrality", 102, -2, 100); fHistVertexz = BookTH1F("fHistVertexz", "vertex z (cm)", 100, -12, 12); if(fAcceptanceWeights) { fHistCentralityPercIn = new TProfile("fHistCentralityPercIn", "fHistCentralityPercIn", 102, -2, 100); fHistCentralityPercOut = new TProfile("fHistCentralityPercOut", "fHistCentralityPercOut", 102, -2, 100); fHistCentralityPercLost = new TProfile("fHistCentralityPercLost", "fHistCentralityPercLost", 102, -2, 100); } // for some histograms adjust the bounds according to analysis acceptance Double_t etaMin(-1.), etaMax(1.), phiMin(0.), phiMax(TMath::TwoPi()); switch (fAnalysisType) { case kFull : { etaMin = -.7; etaMax = .7; phiMin = 1.405; phiMax = 3.135; } break; default : break; } // pico track and emcal cluster kinematics, trigger qa for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) { fHistPicoTrackPt[i] = BookTH1F("fHistPicoTrackPt", "p_{t} [GeV/c]", 100, 0, 100, i); fHistPicoTrackMult[i] = BookTH1F("fHistPicoTrackMult", "multiplicity", 100, 0, 5000, i); if(fFillQAHistograms) { fHistPicoCat1[i] = BookTH2F("fHistPicoCat1", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i); fHistPicoCat2[i] = BookTH2F("fHistPicoCat2", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i); fHistPicoCat3[i] = BookTH2F("fHistPicoCat3", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i); if(fAnalysisType == AliAnalysisTaskJetV2::kFull) { fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i); fHistClusterEtaPhi[i] = BookTH2F("fHistClusterEtaPhi", "#eta", "#phi", 100, etaMax, etaMax, 100, phiMin, phiMax, i); fHistClusterEtaPhiWeighted[i] = BookTH2F("fHistClusterEtaPhiWeighted", "#eta", "#phi", 100, etaMin, etaMax, 100, phiMin, phiMax, i); } fHistPsiTPCLeadingJet[i] = BookTH3F("fHistPsiTPCLeadingJet", "p_{t} [GeV/c]", "#Psi_{TPC}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i); fHistPsiVZEROALeadingJet[i] = BookTH3F("fHistPsiVZEROALeadingJet", "p_{t} [GeV/c]", "#Psi_{VZEROA}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i); fHistPsiVZEROCLeadingJet[i] = BookTH3F("fHistPsiVZEROCLeadingJet", "p_{t} [GeV/c]", "#Psi_{VZEROC}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i); fHistPsiVZEROCombLeadingJet[i] = BookTH3F("fHistPsiVZEROCombLeadingJet", "p_{t} [GeV/c]", "#Psi_{VZEROComb}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i); fHistPsi2Correlation[i] = BookTH3F("fHistPsi2Correlation", "#Psi_{TPC}", "#Psi_{VZEROA}", "#Psi_{VZEROC}", 20, -1.*TMath::Pi()/2., TMath::Pi()/2., 20, -1.*TMath::Pi()/2., TMath::Pi()/2., 20, -1.*TMath::Pi()/2., TMath::Pi()/2., i); fHistLeadingJetBackground[i] = BookTH2F("fHistLeadingJetBackground", "#Delta #eta (leading jet with, without sub)", "Delta #varphi (leading jet with, without sub)", 50, 0., 2, 50, 0., TMath::TwoPi(), i); // trigger qa fHistTriggerQAIn[i] = BookTH2F("fHistTriggerQAIn", "trigger configuration", "p_{T}^{jet} (GeV/c) in-plane jets", 16, 0.5, 16.5, 70, -100, 250, i); fHistTriggerQAOut[i] = BookTH2F("fHistTriggerQAOut", "trigger configuration", "p_{T}^{jet} (GeV/c) out-of-plane jets", 16, 0.5, 16.5, 70, -100, 250, i); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(1, "no trigger"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(2, "kAny"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(3, "kAnyINT"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(4, "kMB"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(5, "kCentral"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(6, "kSemiCentral"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(7, "kEMCEJE"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(8, "kEMCEGA"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(9, "kEMCEJE & kMB"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(10, "kEMCEJE & kCentral"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(11, "kEMCEJE & kSemiCentral"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(12, "kEMCEJE & all min bias"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(13, "kEMCEGA & kMB"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(14, "kEMCEGA & kCentral"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(15, "kEMCEGA & kSemiCentral"); fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(16, "kEMCEGA & all min bias"); fHistTriggerQAIn[i]->LabelsOption("v"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(1, "no trigger"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(2, "kAny"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(3, "kAnyINT"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(4, "kMB"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(5, "kCentral"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(6, "kSemiCentral"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(7, "kEMCEJE"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(8, "kEMCEGA"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(9, "kEMCEJE & kMB"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(10, "kEMCEJE & kCentral"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(11, "kEMCEJE & kSemiCentral"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(12, "kEMCEJE & all min bias"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(13, "kEMCEGA & kMB"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(14, "kEMCEGA & kCentral"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(15, "kEMCEGA & kSemiCentral"); fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(16, "kEMCEGA & all min bias"); fHistTriggerQAOut[i]->LabelsOption("v"); } } if(fFillQAHistograms) { // event plane estimates and quality fHistPsiControl = new TProfile("fHistPsiControl", "fHistPsiControl", 10, 0, 10); fHistPsiControl->Sumw2(); fHistPsiSpread = new TProfile("fHistPsiSpread", "fHistPsiSpread", 4, 0, 4); fHistPsiSpread->Sumw2(); fHistPsiControl->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA}>"); fHistPsiControl->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC}>"); fHistPsiControl->GetXaxis()->SetBinLabel(3, "<#Psi_{2, TPC}>"); fHistPsiControl->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0}>"); fHistPsiControl->GetXaxis()->SetBinLabel(5, "<#Psi_{2, TPC, #eta > 0}>"); fHistPsiControl->GetXaxis()->SetBinLabel(6, "<#Psi_{3, VZEROA}>"); fHistPsiControl->GetXaxis()->SetBinLabel(7, "<#Psi_{3, VZEROC}>"); fHistPsiControl->GetXaxis()->SetBinLabel(8, "<#Psi_{3, TPC}>"); fHistPsiControl->GetXaxis()->SetBinLabel(9, "<#Psi_{3, TPC, #eta < 0}>"); fHistPsiControl->GetXaxis()->SetBinLabel(10, "<#Psi_{3, TPC, #eta > 0}>"); fHistPsiSpread->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA} - #Psi_{2, VZEROC}>"); fHistPsiSpread->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>"); fHistPsiSpread->GetXaxis()->SetBinLabel(3, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>"); fHistPsiSpread->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0} - #Psi_{2, TPC, #eta > 0}>"); fOutputList->Add(fHistPsiControl); fOutputList->Add(fHistPsiSpread); fHistPsiVZEROA = BookTH1F("fHistPsiVZEROA", "#Psi_{VZEROA}", 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiVZEROC = BookTH1F("fHistPsiVZEROC", "#Psi_{VZEROC}", 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiVZERO = BookTH1F("fHistPsiVZERO", "#Psi_{VZERO}", 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiTPC = BookTH1F("fHistPsiTPC", "#Psi_{TPC}", 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiVZEROAV0M = BookTH2F("fHistPsiVZEROAV0M", "V0M", "#Psi_{2, VZEROA}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiVZEROCV0M = BookTH2F("fHistPsiVZEROCV0M", "V0M", "#Psi_{2, VZEROC}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiVZEROVV0M = BookTH2F("fHistPsiVZEROV0M", "V0M", "#Psi_{2, VZERO}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiTPCV0M = BookTH2F("fHistPsiTPCV0M", "V0M", "#Psi_{2, TRK}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiVZEROATRK = BookTH2F("fHistPsiVZEROATRK", "TRK", "#Psi_{2, VZEROA}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiVZEROCTRK = BookTH2F("fHistPsiVZEROCTRK", "TRK", "#Psi_{2, VZEROC}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiVZEROTRK = BookTH2F("fHistPsiVZEROTRK", "TRK", "#Psi_{2, VZERO}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi()); fHistPsiTPCTRK = BookTH2F("fHistPsiTPCTRK", "TRK", "#Psi_{2, TRK}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi()); } // background for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) { fHistRhoPackage[i] = BookTH1F("fHistRhoPackage", "#rho [GeV/c]", 100, 0, 150, i); fHistRho[i] = BookTH1F("fHistRho", "#rho [GeV/c]", 100, 0, 150, i); } fHistRhoVsMult = BookTH2F("fHistRhoVsMult", "multiplicity", "#rho [GeV/c]", 100, 0, 4000, 100, 0, 250); fHistRhoVsCent = BookTH2F("fHistRhoVsCent", "centrality", "#rho [GeV/c]", 100, 0, 100, 100, 0, 250); fHistRhoAVsMult = BookTH2F("fHistRhoAVsMult", "multiplicity", "#rho * A (jet) [GeV/c]", 100, 0, 4000, 100, 0, 50); fHistRhoAVsCent = BookTH2F("fHistRhoAVsCent", "centrality", "#rho * A (jet) [GeV/c]", 100, 0, 100, 100, 0, 50); TString detector(""); switch (fDetectorType) { case kTPC : detector+="TPC"; break; case kVZEROA : detector+="VZEROA"; break; case kVZEROC : detector+="VZEROC"; break; case kVZEROComb : detector+="VZEROComb"; break; case kFixedEP : detector+="FixedEP"; break; default: break; } // delta pt distributions for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) { if(fFillQAHistograms) fHistRCPhiEta[i] = BookTH2F("fHistRCPhiEta", "#phi (RC)", "#eta (RC)", 40, phiMin, phiMax, 40, etaMin, etaMax, i); fHistRhoVsRCPt[i] = BookTH2F("fHistRhoVsRCPt", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i); fHistRCPt[i] = BookTH1F("fHistRCPt", "p_{t} (RC) [GeV/c]", 130, -20, 150, i); if(fFillQAHistograms) fHistRCPhiEtaExLJ[i] = BookTH2F("fHistRCPhiEtaExLJ", "#phi (RC)", "#eta (RC)", 40, phiMin, phiMax, 40, etaMin, etaMax, i); fHistDeltaPtDeltaPhi2[i] = BookTH2F("fHistDeltaPtDeltaPhi2", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i); fHistDeltaPtDeltaPhi2Rho0[i] = BookTH2F("fHistDeltaPtDeltaPhi2Rho0", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i); fHistRhoVsRCPtExLJ[i] = BookTH2F("fHistRhoVsRCPtExLJ", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i); fHistRCPtExLJ[i] = BookTH1F("fHistRCPtExLJ", "p_{t} (RC) [GeV/c]", 130, -20, 150, i); fHistDeltaPtDeltaPhi2ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi2ExLJ", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i); fHistDeltaPtDeltaPhi2ExLJRho0[i] = BookTH2F("fHistDeltaPtDeltaPhi2ExLJRho0", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i); // jet histograms (after kinematic cuts) fHistJetPtRaw[i] = BookTH1F("fHistJetPtRaw", "p_{t, jet} RAW [GeV/c]", 200, -50, 150, i); fHistJetPt[i] = BookTH1F("fHistJetPt", "p_{t, jet} [GeV/c]", 350, -100, 250, i); if(fFillQAHistograms) fHistJetEtaPhi[i] = BookTH2F("fHistJetEtaPhi", "#eta", "#phi", 100, etaMin, etaMax, 100, phiMin, phiMax, i); fHistJetPtArea[i] = BookTH2F("fHistJetPtArea", "p_{t, jet} [GeV/c]", "Area", 175, -100, 250, 30, 0, 0.9, i); fHistJetPtEta[i] = BookTH2F("fHistJetPtEta", "p_{t, jet} [GeV/c]", "Eta", 175, -100, 250, 30, etaMin, etaMax, i); fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t, jet} [GeV/c]", "no. of constituents", 350, -100, 250, 60, 0, 150, i); fHistJetEtaRho[i] = BookTH2F("fHistJetEtaRho", "#eta", "#rho", 100, etaMin, etaMax, 100, 0, 300, i); // in plane and out of plane spectra fHistJetPsi2Pt[i] = BookTH2F("fHistJetPsi2Pt", Form("#phi_{jet} - #Psi_{2, %s}", detector.Data()), "p_{t, jet} [GeV/c]", 40, 0., TMath::Pi(), 350, -100, 250, i); fHistJetPsi2PtRho0[i] = BookTH2F("fHistJetPsi2PtRho0", Form("#phi_{jet} - #Psi_{2, %s}", detector.Data()), "p_{t, jet} [GeV/c]", 40, 0., TMath::Pi(), 350, -100, 250, i); // profiles for all correlator permutations which are necessary to calculate each second and third order event plane resolution fProfV2Resolution[i] = new TProfile(Form("fProfV2Resolution_%i", i), Form("fProfV2Resolution_%i", i), 11, -0.5, 10.5); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(2(#Psi_{VZEROA} - #Psi_{VZEROC}))>"); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(2(#Psi_{VZEROC} - #Psi_{VZEROA}))>"); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(2(#Psi_{VZEROA} - #Psi_{TPC}))>"); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(2(#Psi_{TPC} - #Psi_{VZEROA}))>"); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(2(#Psi_{VZEROC} - #Psi_{TPC}))>"); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(2(#Psi_{TPC} - #Psi_{VZEROC}))>"); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_A}))>"); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_B}))>"); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(2(#Psi_{TPC_A} - #Psi_{TPC_B}))>"); fOutputList->Add(fProfV2Resolution[i]); fProfV3Resolution[i] = new TProfile(Form("fProfV3Resolution_%i", i), Form("fProfV3Resolution_%i", i), 11, -0.5, 10.5); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(3(#Psi_{VZEROA} - #Psi_{VZEROC}))>"); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(3(#Psi_{VZEROC} - #Psi_{VZEROA}))>"); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(3(#Psi_{VZEROA} - #Psi_{TPC}))>"); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(3(#Psi_{TPC} - #Psi_{VZEROA}))>"); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(3(#Psi_{VZEROC} - #Psi_{TPC}))>"); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(3(#Psi_{TPC} - #Psi_{VZEROC}))>"); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_A}))>"); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_B}))>"); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(3(#Psi_{TPC_A} - #Psi_{TPC_B}))>"); fOutputList->Add(fProfV3Resolution[i]); } // vn profile Float_t temp[fCentralityClasses->GetSize()]; for(Int_t i(0); i < fCentralityClasses->GetSize(); i++) temp[i] = fCentralityClasses->At(i); fProfV2 = new TProfile("fProfV2", "fProfV2", fCentralityClasses->GetSize()-1, temp); fProfV3 = new TProfile("fProfV3", "fProfV3", fCentralityClasses->GetSize()-1, temp); fOutputList->Add(fProfV2); fOutputList->Add(fProfV3); switch (fFitModulationType) { case kQC2 : { fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp); fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp); fOutputList->Add(fProfV2Cumulant); fOutputList->Add(fProfV3Cumulant); } break; case kQC4 : { fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp); fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp); fOutputList->Add(fProfV2Cumulant); fOutputList->Add(fProfV3Cumulant); } break; default : break; } // for the histograms initialized below, binning is fixed to runnumbers or flags fReduceBinsXByFactor = 1; fReduceBinsYByFactor = 1; if(fFillQAHistograms) { fHistRunnumbersEta = new TH2F("fHistRunnumbersEta", "fHistRunnumbersEta", fExpectedRuns->GetSize()+1, -.5, fExpectedRuns->GetSize()+.5, 100, -1.1, 1.1); fHistRunnumbersEta->Sumw2(); fOutputList->Add(fHistRunnumbersEta); fHistRunnumbersPhi = new TH2F("fHistRunnumbersPhi", "fHistRunnumbersPhi", fExpectedRuns->GetSize()+1, -.5, fExpectedRuns->GetSize()+.5, 100, -0.2, TMath::TwoPi()+0.2); fHistRunnumbersPhi->Sumw2(); fOutputList->Add(fHistRunnumbersPhi); for(Int_t i(0); i < fExpectedRuns->GetSize(); i++) { fHistRunnumbersPhi->GetXaxis()->SetBinLabel(i+1, Form("%i", fExpectedRuns->At(i))); fHistRunnumbersEta->GetXaxis()->SetBinLabel(i+1, Form("%i", fExpectedRuns->At(i))); } fHistRunnumbersPhi->GetXaxis()->SetBinLabel(fExpectedRuns->GetSize()+1, "undetermined"); fHistRunnumbersEta->GetXaxis()->SetBinLabel(fExpectedRuns->GetSize()+1, "undetermined"); } fHistAnalysisSummary = BookTH1F("fHistAnalysisSummary", "flag", 54, -0.5, 54.5); fHistSwap = new TH1F("fHistSwap", "fHistSwap", 20, 0, TMath::TwoPi()); if(fUsePtWeight) fHistSwap->Sumw2(); if(fUserSuppliedV2) fOutputList->Add(fUserSuppliedV2); if(fUserSuppliedV3) fOutputList->Add(fUserSuppliedV3); if(fUserSuppliedR2) fOutputList->Add(fUserSuppliedR2); if(fUserSuppliedR3) fOutputList->Add(fUserSuppliedR3); if(fEventPlaneWeights) { // add the original event plane weight histogram fOutputList->Add((TH1F*)(fEventPlaneWeights->Clone("EP_distribution_original"))); // calculate the weights that will actually be used fEventPlaneWeights = GetEventPlaneWeights(fEventPlaneWeights); fOutputList->Add(fEventPlaneWeights); } // increase readability of output list fOutputList->Sort(); // cdf and pdf of chisquare distribution fHistPvalueCDF = BookTH1F("fHistPvalueCDF", "CDF #chi^{2}", 50, 0, 1); fHistPvalueCDFCent = BookTH2F("fHistPvalueCDFCent", "centrality", "p-value", 40, 0, 100, 40, 0, 1); fHistChi2Cent = BookTH2F("fHistChi2Cent", "centrality", "#tilde{#chi^{2}}", 100, 0, 100, 100, 0, 5); fHistPChi2 = BookTH2F("fHistPChi2", "p-value", "#tilde{#chi^{2}}", 1000, 0, 1, 100, 0, 5); fHistKolmogorovTest = BookTH1F("fHistKolmogorovTest", "KolmogorovTest", 50, 0, 1); fHistKolmogorovTestCent = BookTH2F("fHistKolmogorovTestCent", "centrality", "Kolmogorov p", 40, 0, 100, 45, 0, 1); fHistPvalueCDFROOT = BookTH1F("fHistPvalueCDFROOT", "CDF #chi^{2} ROOT", 50, 0, 1); fHistPvalueCDFROOTCent = BookTH2F("fHistPvalueCDFROOTCent", "centrality", "p-value ROOT", 40, 0, 100, 45, 0, 1); fHistChi2ROOTCent = BookTH2F("fHistChi2ROOTCent", "centrality", "#tilde{#chi^{2}}", 40, 0, 100, 45, 0, 5); fHistPChi2Root = BookTH2F("fHistPChi2Root", "p-value", "#tilde{#chi^{2}} ROOT", 1000, 0, 1, 100, 0, 5); fHistPKolmogorov = BookTH2F("fHistPKolmogorov", "p-value", "kolmogorov p",40, 0, 1, 40, 0, 1); fHistRhoStatusCent = BookTH2F("fHistRhoStatusCent", "centrality", "status [-1=lin was better, 0=ok, 1 = failed]", 101, -1, 100, 3, -1.5, 1.5); fHistUndeterminedRunQA = BookTH1F("fHistUndeterminedRunQA", "runnumber", 10, 0, 10); PostData(1, fOutputList); switch (fRunModeType) { case kLocal : { fOutputListGood = new TList(); fOutputListGood->SetOwner(kTRUE); fOutputListBad = new TList(); fOutputListBad->SetOwner(kTRUE); PostData(2, fOutputListGood); PostData(3, fOutputListBad); } break; default: break; } // get the containers fTracksCont = GetParticleContainer("Tracks"); fClusterCont = GetClusterContainer(0); // get the default cluster container fJetsCont = GetJetContainer("Jets"); } //_____________________________________________________________________________ Bool_t AliAnalysisTaskJetV2::Run() { // called for each accepted event (call made from user exec of parent class) #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(!fTracks||!fJets||!fRho) { if(!fTracks) printf(" > Failed to retrieve fTracks ! < \n"); if(!fJets) printf(" > Failed to retrieve fJets ! < \n"); if(!fRho) printf(" > Failed to retrieve fRho ! < \n"); return kFALSE; } if(!fLocalInit) fLocalInit = InitializeAnalysis(); // reject the event if expected data is missing if(!PassesCuts(InputEvent())) return kFALSE; // cache the leading jet within acceptance fLeadingJet = GetLeadingJet(); // set the rho value fLocalRho->SetVal(fRho->GetVal()); // place holder arrays for the event planes // // [0][0] psi2a [1,0] psi2c // [0][1] psi3a [1,1] psi3c Double_t vzero[2][2]; /* for the combined vzero event plane * [0] psi2 [1] psi3 * not fully implmemented yet, use with caution ! */ Double_t vzeroComb[2]; // [0] psi2 [1] psi3 Double_t tpc[2]; // evaluate the actual event planes switch (fDetectorType) { case kFixedEP : { // for fixed, fix all ep's to default values tpc[0] = 0.; tpc[1] = 1.; vzero[0][0] = 0.; vzero[0][1] = 1.; vzero[1][0] = 0.; vzero[1][1] = 1.; vzeroComb[0] = 0.; vzeroComb[1] = 1.; } break; default : { // else grab the actual data CalculateEventPlaneVZERO(vzero); CalculateEventPlaneCombinedVZERO(vzeroComb); CalculateEventPlaneTPC(tpc); } break; } Double_t psi2(-1), psi3(-1); // arrays which will hold the fit parameters switch (fDetectorType) { // determine the detector type for the rho fit case kTPC : { psi2 = tpc[0]; psi3 = tpc[1]; } break; case kVZEROA : { psi2 = vzero[0][0]; psi3 = vzero[0][1]; } break; case kVZEROC : { psi2 = vzero[1][0]; psi3 = vzero[1][1]; } break; case kVZEROComb : { psi2 = vzeroComb[0]; psi3 = vzeroComb[1];} break; case kFixedEP : { psi2 = 0.; psi3 = 1.;} break; default : break; } // if requested extract the event plane weight if(fEventPlaneWeights) { fEventPlaneWeight = fEventPlaneWeights->GetBinContent(fEventPlaneWeights->FindBin(psi2)); } // if requested store the acceptance weights if(fAcceptanceWeights) { Double_t percIn(0.), percOut(0.), percLost(0.); NumericalOverlap(GetJetContainer()->GetJetEtaMin(), GetJetContainer()->GetJetEtaMax(), psi2, percIn, percOut, percLost); fHistCentralityPercIn->Fill(fCent, percIn); fHistCentralityPercOut->Fill(fCent, percOut); fHistCentralityPercLost->Fill(fCent, percLost); } switch (fFitModulationType) { // do the fits case kNoFit : { switch (fCollisionType) { case kPythia : { // background is zero for pp jets fFitModulation->FixParameter(0, 0); fLocalRho->SetVal(0); } break; default : { fFitModulation->FixParameter(0, fLocalRho->GetVal()); } break; } } break; case kV2 : { // only v2 if(CorrectRho(psi2, psi3)) { fProfV2->Fill(fCent, fFitModulation->GetParameter(3)); if(fUserSuppliedR2) { Double_t r(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent))); if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r); } CalculateEventPlaneResolution(vzero, vzeroComb, tpc); } } break; case kV3 : { // only v3 if(CorrectRho(psi2, psi3)) { if(fUserSuppliedR3) { Double_t r(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent))); if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r); } fProfV3->Fill(fCent, fFitModulation->GetParameter(3)); CalculateEventPlaneResolution(vzero, vzeroComb, tpc); } } break; case kQC2 : { // qc2 analysis if(CorrectRho(psi2, psi3)) { if(fUserSuppliedR2 && fUserSuppliedR3) { // note for the qc method, resolution is REVERSED to go back to v2obs Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent))); Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent))); if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2); if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)*r3); } if (fUsePtWeight) { // use weighted weights Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11(); fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11); fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11); } else { Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM(); fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1)); fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1)); } CalculateEventPlaneResolution(vzero, vzeroComb, tpc); } } break; case kQC4 : { if(CorrectRho(psi2, psi3)) { if(fUserSuppliedR2 && fUserSuppliedR3) { // note for the qc method, resolution is REVERSED to go back to v2obs Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent))); Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent))); if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2); if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)*r3); } if (fUsePtWeight) { // use weighted weights fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM1111()*/); fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM1111()*/); } else { fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/); fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/); } } CalculateEventPlaneResolution(vzero, vzeroComb, tpc); } break; default : { if(CorrectRho(psi2, psi3)) { if(fUserSuppliedR2 && fUserSuppliedR3) { Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent))); Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent))); if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r2); if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)/r3); } fProfV2->Fill(fCent, fFitModulation->GetParameter(3)); fProfV3->Fill(fCent, fFitModulation->GetParameter(7)); CalculateEventPlaneResolution(vzero, vzeroComb, tpc); } } break; } // if all went well, update the local rho parameter fLocalRho->SetLocalRho(fFitModulation); // and only at this point can the leading jet after rho subtraction be evaluated if(fFillQAHistograms) fLeadingJetAfterSub = GetLeadingJet(fLocalRho); // fill a number of histograms. event qa needs to be filled first as it also determines the runnumber for the track qa if(fFillQAHistograms) FillWeightedQAHistograms(InputEvent()); if(fFillHistograms) FillHistogramsAfterSubtraction(psi2, vzero, vzeroComb, tpc); // send the output to the connected output container PostData(1, fOutputList); switch (fRunModeType) { case kLocal : { PostData(2, fOutputListGood); PostData(3, fOutputListBad); } break; default: break; } return kTRUE; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::Exec(Option_t* c) { // for stand alone, avoid framework event setup #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif switch (fCollisionType) { case kJetFlowMC : { // need to call ExecOnce as it is not loaded otherwise if(!fLocalRho) AliAnalysisTaskJetV2::ExecOnce(); AliAnalysisTaskJetV2::Run(); } break; default : { AliAnalysisTaskSE::Exec(c); } break; } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::NumericalOverlap(Double_t x1, Double_t x2, Double_t psi2, Double_t &percIn, Double_t &percOut, Double_t &percLost) { // numerically integrate with finite resolution // idea is the following: // 1) choose a vector phi // 2) see if it is in a region of overlap between detector and in/out of plane spectrum // 3) bookkeep percentages over overlap Double_t a(psi2 - TMath::Pi()/4.); // poor man's appproach: fix the frame if(a < 0) a += TMath::Pi(); // set the rest of the event Double_t b(a + TMath::Pi()/2.); Double_t c(b + TMath::Pi()/2.); Double_t d(c + TMath::Pi()/2.); Double_t e(d + TMath::Pi()/2.); // may seem mysterious but here for good reasons // get percetnages Double_t interval(TMath::TwoPi() / 1000.); percIn = 0.; percOut = 0.; percLost = 0.; Int_t status(-1); // automagically do the integration for(Double_t i = a; i < a+TMath::TwoPi()-interval; i += interval) { status = OverlapsWithPlane(x1, x2, a, b, c, d, e, i); if(status == 0 ) percLost += .001; else if(status == 1 ) percIn += 0.001; else if(status == 2 ) percOut += 0.001; } } //_____________________________________________________________________________ Int_t AliAnalysisTaskJetV2::OverlapsWithPlane ( Double_t x1, Double_t x2, // detector geometry relative to ep Double_t a, Double_t b, Double_t c, Double_t d, Double_t e, // in-plane, out-of-plane boundaries (see comments) Double_t phi) // variable { // 'numerical integration' of geometric overlap // // works as follows: for a given vector phi determines whether // or not this vector points towards an overlap region of // detector geometry and plane (in or out) // // returns // 1) if overlap with in plane // 2) if overlap with out of plane // 0) if no overlap at all Int_t overlap(0); // check for condition in-plane // conditions are always checked as // 1) is the angle within in-plane sector? // 2) is the angle also within detector acceptance? if(phi > a && phi < b && phi > x1 && phi < x2) overlap = 1; if(phi > c && phi < d && phi > x1 && phi < x2) overlap = 1; // likewise for out-of-plane if(phi > b && phi < c && phi > x1 && phi < x2) overlap = 2; if(phi > d && phi < e && phi > x1 && phi < x2) overlap = 2; // life would be so much easier if the detector was flat instead of cylindrical .... x1+=TMath::TwoPi(); x2+=TMath::TwoPi(); if(phi > a && phi < b && phi > x1 && phi < x2) overlap = 1; if(phi > c && phi < d && phi > x1 && phi < x2) overlap = 1; // likewise for out-of-plane if(phi > b && phi < c && phi > x1 && phi < x2) overlap = 2; if(phi > d && phi < e && phi > x1 && phi < x2) overlap = 2; return overlap; } //_____________________________________________________________________________ Double_t AliAnalysisTaskJetV2::CalculateEventPlaneChi(Double_t res) { // return chi for given resolution to combine event plane estimates from two subevents // see Phys. Rev. C no. CS6346 (http://arxiv.org/abs/nucl-ex/9805001) Double_t chi(2.), delta(1.), con((TMath::Sqrt(TMath::Pi()))/(2.*TMath::Sqrt(2))); for (Int_t i(0); i < 15; i++) { chi = ((con*chi*TMath::Exp(-chi*chi/4.)*(TMath::BesselI0(chi*chi/4.)+TMath::BesselI1(chi*chi/4.))) < res) ? chi + delta : chi - delta; delta = delta / 2.; } return chi; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::CalculateEventPlaneVZERO(Double_t vzero[2][2]) const { // get the vzero event plane (a and c separately) #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif switch (fCollisionType) { case kPbPb10h : { // for 10h data, get the calibrated q-vector from the database Double_t QA2[] = {-999., -999.}; Double_t QA3[] = {-999., -999.}; Double_t QC2[] = {-999., -999.}; Double_t QC3[] = {-999., -999.}; CalculateQvectorVZERO(QA2, QA3, QC2, QC3); vzero[0][0] = .5*TMath::ATan2(QA2[1], QA2[0]); vzero[1][0] = .5*TMath::ATan2(QC2[1], QC2[0]); vzero[0][1] = (1./3.)*TMath::ATan2(QA3[1], QA3[0]); vzero[1][1] = (1./3.)*TMath::ATan2(QC3[1], QC3[0]); } break; default: { // by default use the ep from the event header (make sure EP selection task is enabeled!) Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0), h(0); vzero[0][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, a, b); vzero[1][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, c, d); vzero[0][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, e, f); vzero[1][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, g, h); return; } } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::CalculateEventPlaneCombinedVZERO(Double_t* comb) const { // return the combined vzero event plane #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif switch (fCollisionType) { // for 10h data call calibration info case kPbPb10h : { // get the calibrated q-vectors Double_t Q2[] = {-999., -999.}; Double_t Q3[] = {-999., -999.}; // return if something isn't ok from the calibration side CalculateQvectorCombinedVZERO(Q2, Q3); comb[0] = .5*TMath::ATan2(Q2[1], Q2[0]); comb[1] = (1./3.)*TMath::ATan2(Q3[1], Q3[0]); } break; default : { // for all other types use calibrated event plane from the event header Double_t a(0), b(0), c(0), d(0); comb[0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 2, a, b); comb[1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 3, c, d); } break; } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::CalculateEventPlaneTPC(Double_t* tpc) { // grab the TPC event plane #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif fNAcceptedTracks = 0; // reset the track counter Double_t qx2(0), qy2(0); // for psi2 Double_t qx3(0), qy3(0); // for psi3 if(fTracksCont) { Float_t excludeInEta = -999; if(fExcludeLeadingJetsFromFit > 0 ) { // remove the leading jet from ep estimate if(fLeadingJet) excludeInEta = fLeadingJet->Eta(); } for(Int_t iTPC(0); iTPC < fTracksCont->GetNEntries(); iTPC++) { AliVParticle* track = fTracksCont->GetParticle(iTPC); if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue; if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta) < GetJetContainer()->GetJetRadius()*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - GetJetContainer()->GetJetRadius() - GetJetContainer()->GetJetEtaMax() ) > 0 )) continue; fNAcceptedTracks++; qx2+= TMath::Cos(2.*track->Phi()); qy2+= TMath::Sin(2.*track->Phi()); qx3+= TMath::Cos(3.*track->Phi()); qy3+= TMath::Sin(3.*track->Phi()); } } tpc[0] = .5*TMath::ATan2(qy2, qx2); tpc[1] = (1./3.)*TMath::ATan2(qy3, qx3); } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::CalculateEventPlaneResolution(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) { // fill the profiles for the resolution parameters #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif fProfV2Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(2.*(vzero[0][0] - vzero[1][0]))); fProfV2Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(2.*(vzero[1][0] - vzero[0][0]))); fProfV2Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(2.*(vzero[0][0] - tpc[0]))); fProfV2Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(2.*(tpc[0] - vzero[0][0]))); fProfV2Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(2.*(vzero[1][0] - tpc[0]))); fProfV2Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(2.*(tpc[0] - vzero[1][0]))); fProfV3Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(3.*(vzero[0][0] - vzero[1][0]))); fProfV3Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(3.*(vzero[1][0] - vzero[0][0]))); fProfV3Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(3.*(vzero[0][0] - tpc[0]))); fProfV3Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(3.*(tpc[0] - vzero[0][0]))); fProfV3Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(3.*(vzero[1][0] - tpc[0]))); fProfV3Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(3.*(tpc[0] - vzero[1][0]))); // for the resolution of the combined vzero event plane, use two tpc halves as uncorrelated subdetectors Double_t qx2a(0), qy2a(0); // for psi2a, negative eta Double_t qx3a(0), qy3a(0); // for psi3a, negative eta Double_t qx2b(0), qy2b(0); // for psi2a, positive eta Double_t qx3b(0), qy3b(0); // for psi3a, positive eta if(fTracks) { Int_t iTracks(fTracks->GetEntriesFast()); for(Int_t iTPC(0); iTPC < iTracks; iTPC++) { AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC)); if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue; if(track->Eta() < 0 ) { qx2a+= TMath::Cos(2.*track->Phi()); qy2a+= TMath::Sin(2.*track->Phi()); qx3a+= TMath::Cos(3.*track->Phi()); qy3a+= TMath::Sin(3.*track->Phi()); } else if (track->Eta() > 0) { qx2b+= TMath::Cos(2.*track->Phi()); qy2b+= TMath::Sin(2.*track->Phi()); qx3b+= TMath::Cos(3.*track->Phi()); qy3b+= TMath::Sin(3.*track->Phi()); } } } Double_t tpca2(.5*TMath::ATan2(qy2a, qx2a)); Double_t tpca3((1./3.)*TMath::ATan2(qy3a, qx3a)); Double_t tpcb2(.5*TMath::ATan2(qy2b, qx2b)); Double_t tpcb3((1./3.)*TMath::ATan2(qy3b, qx3b)); fProfV2Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(2.*(vzeroComb[0] - tpca2))); fProfV2Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(2.*(vzeroComb[0] - tpcb2))); fProfV2Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(2.*(tpca2 - tpcb2))); fProfV3Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(3.*(vzeroComb[1] - tpca3))); fProfV3Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(3.*(vzeroComb[1] - tpcb3))); fProfV3Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(3.*(tpca3 - tpcb3))); } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::CalculateQvectorVZERO(Double_t Qa2[2], Double_t Qc2[2], Double_t Qa3[2], Double_t Qc3[2]) const { // return the calibrated 2nd and 3rd order q-vectors for vzeroa and vzeroc // function takes arrays as arguments, which correspond to vzero info in the following way // // Qa2[0] = Qx2 for vzero A Qa2[1] = Qy2 for vzero A (etc) #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif // placeholders for geometric information Double_t phi(-999.), weight(-999.); // reset placeholders for Q-vector components Qa2[0] = 0.; Qc2[0] = 0.; Qa3[0] = 0.; Qc3[0] = 0.; Qa2[1] = 0.; Qc2[1] = 0.; Qa3[1] = 0.; Qc3[1] = 0.; for(Int_t i(0); i < 64; i++) { // loop over all scintillators, construct Q-vectors in the same loop phi = TMath::PiOver4()*(0.5+i%8); weight = 0.; // note that disabled rings have already been excluded in ReadVZEROCalibration2010h if(i<32) { // v0c side if(i < 8) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[0]/fVZEROgainEqualization->GetBinContent(1+i); else if (i < 16 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[1]/fVZEROgainEqualization->GetBinContent(1+i); else if (i < 24 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[2]/fVZEROgainEqualization->GetBinContent(1+i); else if (i < 32 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[3]/fVZEROgainEqualization->GetBinContent(1+i); // fill Q-vectors for v0c side Qc2[0]+=weight*TMath::Cos(2.*phi); Qc3[0]+=weight*TMath::Cos(3.*phi); Qc2[1]+=weight*TMath::Sin(2.*phi); Qc3[1]+=weight*TMath::Sin(3.*phi); } else { // v0a side if( i < 40) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[0]/fVZEROgainEqualization->GetBinContent(1+i); else if ( i < 48 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[1]/fVZEROgainEqualization->GetBinContent(1+i); else if ( i < 56 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[2]/fVZEROgainEqualization->GetBinContent(1+i); else if ( i < 64 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[3]/fVZEROgainEqualization->GetBinContent(1+i); // fill Q-vectors for v0a side Qa2[0]+=weight*TMath::Cos(2.*phi); Qa3[0]+=weight*TMath::Cos(3.*phi); Qa2[1]+=weight*TMath::Sin(2.*phi); Qa3[1]+=weight*TMath::Sin(3.*phi); } } // get the cache index and read the correction terms from the cache Int_t VZEROcentralityBin(GetVZEROCentralityBin()); Double_t Qx2amean = fMeanQ[VZEROcentralityBin][1][0]; Double_t Qx2arms = fWidthQ[VZEROcentralityBin][1][0]; Double_t Qy2amean = fMeanQ[VZEROcentralityBin][1][1]; Double_t Qy2arms = fWidthQ[VZEROcentralityBin][1][1]; Double_t Qx2cmean = fMeanQ[VZEROcentralityBin][0][0]; Double_t Qx2crms = fWidthQ[VZEROcentralityBin][0][0]; Double_t Qy2cmean = fMeanQ[VZEROcentralityBin][0][1]; Double_t Qy2crms = fWidthQ[VZEROcentralityBin][0][1]; Double_t Qx3amean = fMeanQv3[VZEROcentralityBin][1][0]; Double_t Qx3arms = fWidthQv3[VZEROcentralityBin][1][0]; Double_t Qy3amean = fMeanQv3[VZEROcentralityBin][1][1]; Double_t Qy3arms = fWidthQv3[VZEROcentralityBin][1][1]; Double_t Qx3cmean = fMeanQv3[VZEROcentralityBin][0][0]; Double_t Qx3crms = fWidthQv3[VZEROcentralityBin][0][0]; Double_t Qy3cmean = fMeanQv3[VZEROcentralityBin][0][1]; Double_t Qy3crms = fWidthQv3[VZEROcentralityBin][0][1]; // update the weighted q-vectors with the re-centered values Qa2[0] = (Qa2[0] - Qx2amean)/Qx2arms; Qa2[1] = (Qa2[1] - Qy2amean)/Qy2arms; Qc2[0] = (Qc2[0] - Qx2cmean)/Qx2crms; Qc2[1] = (Qc2[1] - Qy2cmean)/Qy2crms; Qa3[0] = (Qa3[0] - Qx3amean)/Qx3arms; Qa3[1] = (Qa3[1] - Qy3amean)/Qy3arms; Qc3[0] = (Qc3[0] - Qx3cmean)/Qx3crms; Qc3[1] = (Qc3[0] - Qy3cmean)/Qy3crms; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::CalculateQvectorCombinedVZERO(Double_t Q2[2], Double_t Q3[2]) const { // calculate calibrated q-vector of the combined vzeroa, vzeroc system // this is somewhat ugly as CalculateQvectorCombinedVZERO is called more than once per event // but for now it will have to do ... #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif // first step: retrieve the q-vectors component-wise per vzero detector Double_t QA2[] = {-999., -999.}; Double_t QA3[] = {-999., -999.}; Double_t QC2[] = {-999., -999.}; Double_t QC3[] = {-999., -999.}; CalculateQvectorVZERO(QA2, QA3, QC2, QC3); // get cache index and retrieve the chi weights for this centrality Int_t VZEROcentralityBin(GetVZEROCentralityBin()); Double_t chi2A(fChi2A->At(VZEROcentralityBin)); Double_t chi2C(fChi2C->At(VZEROcentralityBin)); Double_t chi3A(fChi3A->At(VZEROcentralityBin)); Double_t chi3C(fChi3C->At(VZEROcentralityBin)); // combine the vzera and vzeroc signal Q2[0] = chi2A*chi2A*QA2[0]+chi2C*chi2C*QC2[0]; Q2[1] = chi2A*chi2A*QA2[1]+chi2C*chi2C*QC2[1]; Q3[0] = chi3A*chi3A*QA3[0]+chi3C*chi3C*QC3[0]; Q3[1] = chi3A*chi3A*QC3[1]+chi3C*chi3C*QC3[1]; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::CalculateRandomCone(Float_t &pt, Float_t &eta, Float_t &phi, AliParticleContainer* tracksCont, AliClusterContainer* clusterCont, AliEmcalJet* jet) const { // get a random cone #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif pt = 0; eta = 0; phi = 0; Float_t etaJet(999), phiJet(999), dJet(999); // no jet: same as jet very far away if(jet) { // if a leading jet is given, use its kinematic properties to exclude it etaJet = jet->Eta(); phiJet = jet->Phi(); } // the random cone acceptance has to equal the jet acceptance // this also insures safety when runnnig on the semi-good tpc runs for 11h data, // where jet acceptance is adjusted to reduced acceptance - hence random cone acceptance as well Float_t minPhi(GetJetContainer()->GetJetPhiMin()), maxPhi(GetJetContainer()->GetJetPhiMax()); if(maxPhi > TMath::TwoPi()) maxPhi = TMath::TwoPi(); if(minPhi < 0 ) minPhi = 0.; // construct a random cone and see if it's far away enough from the leading jet Int_t attempts(1000); while(kTRUE) { attempts--; eta = gRandom->Uniform(GetJetContainer()->GetJetEtaMin(), GetJetContainer()->GetJetEtaMax()); phi = gRandom->Uniform(minPhi, maxPhi); dJet = TMath::Sqrt((etaJet-eta)*(etaJet-eta)+(phiJet-phi)*(phiJet-phi)); if(dJet > fMinDisanceRCtoLJ) break; else if (attempts == 0) { printf(" > No random cone after 1000 tries, giving up ... !\n"); return; } } // get the charged energy (if tracks are provided) if(tracksCont) { AliVParticle* track = tracksCont->GetNextAcceptParticle(0); while(track) { Float_t etaTrack(track->Eta()), phiTrack(track->Phi()); // get distance from cone if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi + TMath::TwoPi())) phiTrack+=TMath::TwoPi(); if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi - TMath::TwoPi())) phiTrack-=TMath::TwoPi(); if(TMath::Sqrt(TMath::Abs((etaTrack-eta)*(etaTrack-eta)+(phiTrack-phi)*(phiTrack-phi))) <= GetJetRadius()) pt += track->Pt(); track = tracksCont->GetNextAcceptParticle(); } } // get the neutral energy (if clusters are provided) if(clusterCont) { TLorentzVector momentum; AliVCluster* cluster = clusterCont->GetNextAcceptCluster(0); while(cluster) { cluster->GetMomentum(momentum, const_cast<Double_t*>(fVertex)); Float_t etaClus(momentum.Eta()), phiClus(momentum.Phi()); // get distance from cone if(TMath::Abs(phiClus-phi) > TMath::Abs(phiClus - phi + TMath::TwoPi())) phiClus+=TMath::TwoPi(); if(TMath::Abs(phiClus-phi) > TMath::Abs(phiClus - phi - TMath::TwoPi())) phiClus-=TMath::TwoPi(); if(TMath::Sqrt(TMath::Abs((etaClus-eta)*(etaClus-eta)+(phiClus-phi)*(phiClus-phi))) <= GetJetRadius()) pt += momentum.Pt(); cluster = clusterCont->GetNextAcceptCluster(); } } } //_____________________________________________________________________________ Double_t AliAnalysisTaskJetV2::CalculateQC2(Int_t harm) { // get the second order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Double_t reQ(0), imQ(0), modQ(0), M11(0), M(0); if(fUsePtWeight) { // for the weighted 2-nd order q-cumulant QCnQnk(harm, 1, reQ, imQ); // get the weighted 2-nd order q-vectors modQ = reQ*reQ+imQ*imQ; // get abs Q-squared M11 = QCnM11(); // equals S2,1 - S1,2 return (M11 > 0) ? ((modQ - QCnS(1,2))/M11) : -999; } // else return the non-weighted 2-nd order q-cumulant QCnQnk(harm, 0, reQ, imQ); // get the non-weighted 2-nd order q-vectors modQ = reQ*reQ+imQ*imQ; // get abs Q-squared M = QCnM(); return (M > 1) ? (modQ - M)/(M*(M-1)) : -999; } //_____________________________________________________________________________ Double_t AliAnalysisTaskJetV2::CalculateQC4(Int_t harm) { // get the fourth order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Double_t reQn1(0), imQn1(0), reQ2n2(0), imQ2n2(0), reQn3(0), imQn3(0), M1111(0), M(0); Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0); // terms of the calculation if(fUsePtWeight) { // for the weighted 4-th order q-cumulant QCnQnk(harm, 1, reQn1, imQn1); QCnQnk(harm*2, 2, reQ2n2, imQ2n2); QCnQnk(harm, 3, reQn3, imQn3); // fill in the terms ... a = (reQn1*reQn1+imQn1*imQn1)*(reQn1*reQn1+imQn1*imQn1); b = reQ2n2*reQ2n2 + imQ2n2*imQ2n2; c = -2.*(reQ2n2*reQn1*reQn1-reQ2n2*imQn1*imQn1+2.*imQ2n2*reQn1*imQn1); d = 8.*(reQn3*reQn1+imQn3*imQn1); e = -4.*QCnS(1,2)*(reQn1*reQn1+imQn1*imQn1); f = -6.*QCnS(1,4); g = 2.*QCnS(2,2); M1111 = QCnM1111(); return (M1111 > 0) ? (a+b+c+d+e+f+g)/M1111 : -999; } // else return the unweighted case Double_t reQn(0), imQn(0), reQ2n(0), imQ2n(0); QCnQnk(harm, 0, reQn, imQn); QCnQnk(harm*2, 0, reQ2n, imQ2n); // fill in the terms ... M = QCnM(); if(M < 4) return -999; a = (reQn*reQn+imQn*imQn)*(reQn*reQn+imQn*imQn); b = reQ2n*reQ2n + imQ2n*imQ2n; c = -2.*(reQ2n*reQn*reQn-reQ2n*imQn*imQn+2.*imQ2n*reQn*imQn); e = -4.*(M-2)*(reQn*reQn+imQn*imQn); f = 2.*M*(M-3); return (a+b+c+e+f)/(M*(M-1)*(M-2)*(M-3)); } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::QCnQnk(Int_t n, Int_t k, Double_t &reQ, Double_t &imQ) { // get the weighted n-th order q-vector, pass real and imaginary part as reference #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(!fTracks) return; fNAcceptedTracksQCn = 0; Int_t iTracks(fTracks->GetEntriesFast()); for(Int_t iTPC(0); iTPC < iTracks; iTPC++) { AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC)); if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue; fNAcceptedTracksQCn++; // for the unweighted case, k equals zero and the weight doesn't contribute to the equation below reQ += TMath::Power(track->Pt(), k) * TMath::Cos(((double)n)*track->Phi()); imQ += TMath::Power(track->Pt(), k) * TMath::Sin(((double)n)*track->Phi()); } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::QCnDiffentialFlowVectors( TClonesArray* pois, TArrayD* ptBins, Bool_t vpart, Double_t* repn, Double_t* impn, Double_t *mp, Double_t *reqn, Double_t *imqn, Double_t* mq, Int_t n) { // get unweighted differential flow vectors #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Int_t iPois(pois->GetEntriesFast()); if(vpart) { for(Int_t i(0); i < iPois; i++) { for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) { AliVTrack* poi = static_cast<AliVTrack*>(pois->At(i)); if(PassesCuts(poi)) { if(poi->Pt() >= ptBins->At(ptBin) && poi->Pt() < ptBins->At(ptBin+1)) { // fill the flow vectors assuming that all poi's are in the rp selection (true by design) repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi()); impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi()); mp[ptBin]++; reqn[ptBin]+=TMath::Cos(((double)n)*poi->Phi()); imqn[ptBin]+=TMath::Sin(((double)n)*poi->Phi()); mq[ptBin]++; } } } } } else { for(Int_t i(0); i < iPois; i++) { for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) { AliEmcalJet* poi = static_cast<AliEmcalJet*>(pois->At(i)); if(PassesCuts(poi)) { Double_t pt(poi->Pt()-poi->Area()*fLocalRho->GetLocalVal(poi->Phi(), GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())); if(pt >= ptBins->At(ptBin) && pt < ptBins->At(ptBin+1)) { repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi()); impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi()); mp[ptBin]++; // qn isn't filled, no overlap between poi's and rp's } } } } } } //_____________________________________________________________________________ Double_t AliAnalysisTaskJetV2::QCnS(Int_t i, Int_t j) { // get the weighted ij-th order autocorrelation correction #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(!fTracks || i <= 0 || j <= 0) return -999; Int_t iTracks(fTracks->GetEntriesFast()); Double_t Sij(0); for(Int_t iTPC(0); iTPC < iTracks; iTPC++) { AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC)); if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue; Sij+=TMath::Power(track->Pt(), j); } return TMath::Power(Sij, i); } //_____________________________________________________________________________ Double_t AliAnalysisTaskJetV2::QCnM() { // get multiplicity for unweighted q-cumulants. function QCnQnk should be called first #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif return (Double_t) fNAcceptedTracksQCn; } //_____________________________________________________________________________ Double_t AliAnalysisTaskJetV2::QCnM11() { // get multiplicity weights for the weighted two particle cumulant #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif return (QCnS(2,1) - QCnS(1,2)); } //_____________________________________________________________________________ Double_t AliAnalysisTaskJetV2::QCnM1111() { // get multiplicity weights for the weighted four particle cumulant #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif return (QCnS(4,1)-6*QCnS(1,2)*QCnS(2,1)+8*QCnS(1,3)*QCnS(1,1)+3*QCnS(2,2)-6*QCnS(1,4)); } //_____________________________________________________________________________ Bool_t AliAnalysisTaskJetV2::QCnRecovery(Double_t psi2, Double_t psi3) { // decides how to deal with the situation where c2 or c3 is negative // returns kTRUE depending on whether or not a modulated rho is used for the jet background #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(TMath::AreEqualAbs(fFitModulation->GetParameter(3), .0, 1e-10) && TMath::AreEqualAbs(fFitModulation->GetParameter(7), .0,1e-10)) { fFitModulation->SetParameter(7, 0); fFitModulation->SetParameter(3, 0); fFitModulation->SetParameter(0, fLocalRho->GetVal()); return kTRUE; // v2 and v3 have physical null values } switch (fQCRecovery) { case kFixedRho : { // roll back to the original rho fFitModulation->SetParameter(7, 0); fFitModulation->SetParameter(3, 0); fFitModulation->SetParameter(0, fLocalRho->GetVal()); return kFALSE; // rho is forced to be fixed } case kNegativeVn : { Double_t c2(fFitModulation->GetParameter(3)); Double_t c3(fFitModulation->GetParameter(7)); if( c2 < 0 ) c2 = -1.*TMath::Sqrt(-1.*c2); if( c3 < 0 ) c3 = -1.*TMath::Sqrt(-1.*c3); fFitModulation->SetParameter(3, c2); fFitModulation->SetParameter(7, c3); return kTRUE; // is this a physical quantity ? } case kTryFit : { fitModulationType tempType(fFitModulationType); // store temporarily fFitModulationType = kCombined; fFitModulation->SetParameter(7, 0); fFitModulation->SetParameter(3, 0); Bool_t pass(CorrectRho(psi2, psi3)); // do the fit and all quality checks fFitModulationType = tempType; // roll back for next event return pass; } default : return kFALSE; } return kFALSE; } //_____________________________________________________________________________ Bool_t AliAnalysisTaskJetV2::CorrectRho(Double_t psi2, Double_t psi3) { // get rho' -> rho(phi) // two routines are available, both can be used with or without pt weights // [1] get vn from q-cumulants or as an integrated value from a user supplied histogram // in case of cumulants, both cumulants and vn values are stored. in both cases, v2 and v3 // are expected. a check is performed to see if rho has no negative local minimum // for full description, see Phys. Rev. C 83, 044913 // since the cn distribution has negative values, vn = sqrt(cn) can be imaginary sometimes // in this case one can either roll back to the 'original' rixed rho, do a fit for vn or take use // vn = - sqrt(|cn|) // [2] fitting a fourier expansion to the de/dphi distribution // the fit can be done with either v2, v3 or a combination. // in all cases, a cut can be made on the p-value of the chi-squared value of the fit // and a check can be performed to see if rho has no negative local minimum #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Int_t freeParams(2); // free parameters of the fit (for NDF) switch (fFitModulationType) { // for approaches where no fitting is required case kQC2 : { fFitModulation->FixParameter(4, psi2); fFitModulation->FixParameter(6, psi3); fFitModulation->FixParameter(3, CalculateQC2(2)); // set here with cn, vn = sqrt(cn) fFitModulation->FixParameter(7, CalculateQC2(3)); // first fill the histos of the raw cumulant distribution if (fUsePtWeight) { // use weighted weights Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11(); fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11); fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11); } else { Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM(); fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1)); fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1)); } // then see if one of the cn value is larger than zero and vn is readily available if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) { fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3))); fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7))); } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3 if(fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check fFitModulation->SetParameter(7, 0); fFitModulation->SetParameter(3, 0); fFitModulation->SetParameter(0, fLocalRho->GetVal()); return kFALSE; } return kTRUE; } break; case kQC4 : { fFitModulation->FixParameter(4, psi2); fFitModulation->FixParameter(6, psi3); fFitModulation->FixParameter(3, CalculateQC4(2)); // set here with cn, vn = sqrt(cn) fFitModulation->FixParameter(7, CalculateQC4(3)); // first fill the histos of the raw cumulant distribution if (fUsePtWeight) { // use weighted weights fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/); fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/); } else { fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/); fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/); } // then see if one of the cn value is larger than zero and vn is readily available if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) { fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3))); fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7))); } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3 if(fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check fFitModulation->SetParameter(7, 0); fFitModulation->SetParameter(3, 0); fFitModulation->SetParameter(0, fLocalRho->GetVal()); return kFALSE; } } break; case kIntegratedFlow : { // use v2 and v3 values from an earlier iteration over the data fFitModulation->FixParameter(3, fUserSuppliedV2->GetBinContent(fUserSuppliedV2->GetXaxis()->FindBin(fCent))); fFitModulation->FixParameter(4, psi2); fFitModulation->FixParameter(6, psi3); fFitModulation->FixParameter(7, fUserSuppliedV3->GetBinContent(fUserSuppliedV3->GetXaxis()->FindBin(fCent))); if(fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { fFitModulation->SetParameter(7, 0); fFitModulation->SetParameter(3, 0); fFitModulation->SetParameter(0, fLocalRho->GetVal()); return kFALSE; } return kTRUE; } default : break; } TString detector(""); switch (fDetectorType) { case kTPC : detector+="TPC"; break; case kVZEROA : detector+="VZEROA"; break; case kVZEROC : detector+="VZEROC"; break; case kVZEROComb : detector+="VZEROComb"; break; case kFixedEP : detector+="FixedEP"; break; default: break; } Int_t iTracks(fTracks->GetEntriesFast()); Double_t excludeInEta = -999; Double_t excludeInPhi = -999; Double_t excludeInPt = -999; if(iTracks <= 0 || fLocalRho->GetVal() <= 0 ) return kFALSE; // no use fitting an empty event ... if(fExcludeLeadingJetsFromFit > 0 ) { if(fLeadingJet) { excludeInEta = fLeadingJet->Eta(); excludeInPhi = fLeadingJet->Phi(); excludeInPt = fLeadingJet->Pt(); } } // check the acceptance of the track selection that will be used // if one uses e.g. semi-good tpc tracks, accepance in phi is reduced to 0 < phi < 4 // the defaults (-10 < phi < 10) which accept all, are then overwritten Double_t lowBound(0.), upBound(TMath::TwoPi()); // bounds for fit if(GetParticleContainer()->GetParticlePhiMin() > lowBound) lowBound = GetParticleContainer()->GetParticlePhiMin(); if(GetParticleContainer()->GetParticlePhiMax() < upBound) upBound = GetParticleContainer()->GetParticlePhiMax(); fHistSwap->Reset(); // clear the histogram TH1F _tempSwap; // on stack for quick access TH1F _tempSwapN; // on stack for quick access, bookkeeping histogram if(fRebinSwapHistoOnTheFly) { if(fNAcceptedTracks < 49) fNAcceptedTracks = 49; // avoid aliasing effects _tempSwap = TH1F("_tempSwap", "_tempSwap", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), lowBound, upBound); if(fUsePtWeightErrorPropagation) _tempSwapN = TH1F("_tempSwapN", "_tempSwapN", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), lowBound, upBound); if(fUsePtWeight) _tempSwap.Sumw2(); } else _tempSwap = *fHistSwap; // now _tempSwap holds the desired histo // non poissonian error when using pt weights Double_t totalpts(0.), totalptsquares(0.), totalns(0.); for(Int_t i(0); i < iTracks; i++) { AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i)); if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta) < GetJetContainer()->GetJetRadius()*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - GetJetContainer()->GetJetRadius() - GetJetContainer()->GetJetEtaMax() ) > 0 )) continue; if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue; if(fUsePtWeight) { _tempSwap.Fill(track->Phi(), track->Pt()); if(fUsePtWeightErrorPropagation) { totalpts += track->Pt(); totalptsquares += track->Pt()*track->Pt(); totalns += 1; _tempSwapN.Fill(track->Phi()); } } else _tempSwap.Fill(track->Phi()); } if(fUsePtWeight && fUsePtWeightErrorPropagation) { // in the case of pt weights overwrite the poissonian error estimate which is assigned by root by a more sophisticated appraoch // the assumption here is that the bin error will be dominated by the uncertainty in the mean pt in a bin and in the uncertainty // of the number of tracks in a bin, the first of which will be estimated from the sample standard deviation of all tracks in the // event, for the latter use a poissonian estimate. the two contrubitions are assumed to be uncorrelated if(totalns < 2) return kFALSE; // not one track passes the cuts > 2 avoids possible division by 0 later on for(Int_t l = 0; l < _tempSwap.GetNbinsX(); l++) { if(_tempSwapN.GetBinContent(l+1) == 0) { _tempSwap.SetBinContent(l+1,0); _tempSwap.SetBinError(l+1,0); } else { Double_t vartimesnsq = totalptsquares*totalns - totalpts*totalpts; Double_t variance = vartimesnsq/(totalns*(totalns-1.)); Double_t SDOMSq = variance / _tempSwapN.GetBinContent(l+1); Double_t SDOMSqOverMeanSq = SDOMSq * _tempSwapN.GetBinContent(l+1) * _tempSwapN.GetBinContent(l+1) / (_tempSwapN.GetBinContent(l+1) * _tempSwapN.GetBinContent(l+1)); Double_t poissonfrac = 1./_tempSwapN.GetBinContent(l+1); Double_t vartotalfrac = SDOMSqOverMeanSq + poissonfrac; Double_t vartotal = vartotalfrac * _tempSwap.GetBinContent(l+1) * _tempSwap.GetBinContent(l+1); if(vartotal > 0.0001) _tempSwap.SetBinError(l+1,TMath::Sqrt(vartotal)); else { _tempSwap.SetBinContent(l+1,0); _tempSwap.SetBinError(l+1,0); } } } } fFitModulation->SetParameter(0, fLocalRho->GetVal()); switch (fFitModulationType) { case kNoFit : { fFitModulation->FixParameter(0, fLocalRho->GetVal() ); freeParams = 0; } break; case kV2 : { fFitModulation->FixParameter(4, psi2); freeParams = 1; } break; case kV3 : { fFitModulation->FixParameter(4, psi3); freeParams = 1; } break; case kCombined : { fFitModulation->FixParameter(4, psi2); fFitModulation->FixParameter(6, psi3); freeParams = 2; } break; case kFourierSeries : { // in this approach, an explicit calculation will be made of vn = sqrt(xn^2+yn^2) // where x[y] = Integrate[r(phi)cos[sin](n phi)dphi, 0, 2pi] Double_t cos2(0), sin2(0), cos3(0), sin3(0), sumPt(0); for(Int_t i(0); i < iTracks; i++) { AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i)); if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue; sumPt += track->Pt(); cos2 += track->Pt()*TMath::Cos(2*PhaseShift(track->Phi()-psi2)); sin2 += track->Pt()*TMath::Sin(2*PhaseShift(track->Phi()-psi2)); cos3 += track->Pt()*TMath::Cos(3*PhaseShift(track->Phi()-psi3)); sin3 += track->Pt()*TMath::Sin(3*PhaseShift(track->Phi()-psi3)); } fFitModulation->SetParameter(3, TMath::Sqrt(cos2*cos2+sin2*sin2)/fLocalRho->GetVal()); fFitModulation->SetParameter(4, psi2); fFitModulation->SetParameter(6, psi3); fFitModulation->SetParameter(7, TMath::Sqrt(cos3*cos3+sin3*sin3)/fLocalRho->GetVal()); } break; default : break; } if(fRunToyMC) { // toy mc, just here to check procedure, azimuthal profile is filled from hypothesis so p-value distribution should be flat Int_t _bins = _tempSwap.GetXaxis()->GetNbins(); TF1* _tempFit = new TF1("temp_fit_kCombined", "[0]*([1]+[2]*([3]*TMath::Cos([2]*(x-[4]))+[7]*TMath::Cos([5]*(x-[6]))))", 0, TMath::TwoPi()); _tempFit->SetParameter(0, fFitModulation->GetParameter(0)); // normalization _tempFit->SetParameter(3, 0.1); // v2 _tempFit->FixParameter(1, 1.); // constant _tempFit->FixParameter(2, 2.); // constant _tempFit->FixParameter(5, 3.); // constant _tempFit->FixParameter(4, fFitModulation->GetParameter(4)); _tempFit->FixParameter(6, fFitModulation->GetParameter(6)); _tempFit->SetParameter(7, 0.1); // v3 _tempSwap.Reset(); // rese bin content for(int _binsI = 0; _binsI < _bins*_bins; _binsI++) _tempSwap.Fill(_tempFit->GetRandom()); } _tempSwap.Fit(fFitModulation, fFitModulationOptions.Data(), "", lowBound, upBound); // the quality of the fit is evaluated from 1 - the cdf of the chi square distribution // three methods are available, all with their drawbacks. all are stored, one is selected to do the cut Int_t NDF(_tempSwap.GetXaxis()->GetNbins()-freeParams); if(NDF == 0 || (float)NDF <= 0.) return kFALSE; Double_t CDF(1.-ChiSquareCDF(NDF, ChiSquare(_tempSwap, fFitModulation))); Double_t CDFROOT(1.-ChiSquareCDF(NDF, fFitModulation->GetChisquare())); Double_t CDFKolmogorov(KolmogorovTest(_tempSwap, fFitModulation)); // fill the values and centrality correlation (redundant but easy on the eyes) fHistPvalueCDF->Fill(CDF); fHistPvalueCDFCent->Fill(fCent, CDF); fHistPvalueCDFROOT->Fill(CDFROOT); fHistPvalueCDFROOTCent->Fill(fCent, CDFROOT); fHistKolmogorovTest->Fill(CDFKolmogorov); fHistChi2ROOTCent->Fill(fCent, fFitModulation->GetChisquare()/((float)NDF)); fHistChi2Cent->Fill(fCent, ChiSquare(_tempSwap, fFitModulation)/((float)NDF)); fHistKolmogorovTestCent->Fill(fCent, CDFKolmogorov); fHistPChi2Root->Fill(CDFROOT, fFitModulation->GetChisquare()/((float)NDF)); fHistPChi2->Fill(CDF, ChiSquare(_tempSwap, fFitModulation)/((float)NDF)); fHistPKolmogorov->Fill(CDF, CDFKolmogorov); // variable CDF is used for making cuts, so we fill it with the selected p-value switch (fFitGoodnessTest) { case kChi2ROOT : { CDF = CDFROOT; } break; case kChi2Poisson : break; // CDF is already CDF case kKolmogorov : { CDF = CDFKolmogorov; } break; default: break; } if(fFitControl) { // as an additional quality check, see if fitting a control fit has a higher significance _tempSwap.Fit(fFitControl, fFitModulationOptions.Data(), "", lowBound, upBound); Double_t CDFControl(-1.); switch (fFitGoodnessTest) { case kChi2ROOT : { CDFControl = 1.-ChiSquareCDF(fFitControl->GetNDF(), fFitModulation->GetChisquare()); } break; case kChi2Poisson : { CDFControl = 1.-ChiSquareCDF(fFitControl->GetNDF(), ChiSquare(_tempSwap, fFitModulation)); } break; case kKolmogorov : { CDFControl = KolmogorovTest(_tempSwap, fFitControl); } break; default: break; } if(CDFControl > CDF) { CDF = -1.; // control fit is more significant, so throw out the 'old' fit fHistRhoStatusCent->Fill(fCent, -1); } } if(CDF >= fMinPvalue && CDF <= fMaxPvalue && ( fFitModulation->GetMinimum(0, TMath::TwoPi()) > 0)) { // fit quality. not that although with limited acceptance the fit is performed on just // part of phase space, the requirement that energy desntiy is larger than zero is applied // to the FULL spectrum fHistRhoStatusCent->Fill(fCent, 0.); // for LOCAL didactic purposes, save the best and the worst fits // this routine can produce a lot of output histograms (it's not memory 'safe') and will not work on GRID // since the output will become unmergeable (i.e. different nodes may produce conflicting output) switch (fRunModeType) { case kLocal : { if(fRandom->Uniform(0, 100) > fPercentageOfFits) break; static Int_t didacticCounterBest(0); TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data())); TF1* didacticFit = (TF1*)fFitModulation->Clone(Form("fit_%i_CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data())); switch(fFitModulationType) { case kCombined : { // to make a nice picture also plot the separate components (v2 and v3) of the fit // only done for cobined fit where there are actually components to split ... TF1* v0(new TF1("dfit_kV2", "[0]", 0, TMath::TwoPi())); v0->SetParameter(0, didacticFit->GetParameter(0)); // normalization v0->SetLineColor(kMagenta); v0->SetLineStyle(7); didacticProfile->GetListOfFunctions()->Add(v0); TF1* v2(new TF1("dfit_kV2", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi())); v2->SetParameter(0, didacticFit->GetParameter(0)); // normalization v2->SetParameter(3, didacticFit->GetParameter(3)); // v2 v2->FixParameter(1, 1.); // constant v2->FixParameter(2, 2.); // constant v2->FixParameter(4, didacticFit->GetParameter(4)); // psi2 v2->SetLineColor(kGreen); didacticProfile->GetListOfFunctions()->Add(v2); TF1* v3(new TF1("dfit_kV3", "[0]*([1]+[2]*[3]*TMath::Cos([5]*(x-[4])))", 0, TMath::TwoPi())); v3->SetParameter(0, didacticFit->GetParameter(0)); // normalization v3->SetParameter(3, didacticFit->GetParameter(7)); // v3 v3->FixParameter(1, 1.); // constant v3->FixParameter(2, 2.); // constant v3->FixParameter(4, didacticFit->GetParameter(6)); // psi3 v3->FixParameter(5, 3.); // constant v3->SetLineColor(kCyan); didacticProfile->GetListOfFunctions()->Add(v3); } default : break; } didacticProfile->GetListOfFunctions()->Add(didacticFit); didacticProfile->GetYaxis()->SetTitle("#frac{d #sum #it{p}_{T}}{d #varphi} [GeV/#it{c}]"); didacticProfile->GetXaxis()->SetTitle("#varphi"); fOutputListGood->Add(didacticProfile); didacticCounterBest++; TH2F* didacticSurface = BookTH2F(Form("surface_%s", didacticProfile->GetName()), "#phi", "#eta", 50, 0, TMath::TwoPi(), 50, -1, 1, -1, kFALSE); for(Int_t i(0); i < iTracks; i++) { AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i)); if(PassesCuts(track)) { if(fUsePtWeight) didacticSurface->Fill(track->Phi(), track->Eta(), track->Pt()); else didacticSurface->Fill(track->Phi(), track->Eta()); } } if(fExcludeLeadingJetsFromFit) { // visualize the excluded region TF2 *f2 = new TF2(Form("%s_LJ", didacticSurface->GetName()),"[0]*TMath::Gaus(x,[1],[2])*TMath::Gaus(y,[3],[4])", 0, TMath::TwoPi(), -1, 1); f2->SetParameters(excludeInPt/3.,excludeInPhi,.1,excludeInEta,.1); didacticSurface->GetListOfFunctions()->Add(f2); } fOutputListGood->Add(didacticSurface); } break; default : break; } } else { // if the fit is of poor quality revert to the original rho estimate switch (fRunModeType) { // again see if we want to save the fit case kLocal : { static Int_t didacticCounterWorst(0); if(fRandom->Uniform(0, 100) > fPercentageOfFits) break; TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data() )); TF1* didacticFit = (TF1*)fFitModulation->Clone(Form("fit_%i_p_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data())); didacticProfile->GetListOfFunctions()->Add(didacticFit); fOutputListBad->Add(didacticProfile); didacticCounterWorst++; } break; default : break; } switch (fFitModulationType) { case kNoFit : break; // nothing to do case kCombined : fFitModulation->SetParameter(7, 0); // no break case kFourierSeries : fFitModulation->SetParameter(7, 0); // no break default : { // needs to be done if there was a poor fit fFitModulation->SetParameter(3, 0); fFitModulation->SetParameter(0, fLocalRho->GetVal()); } break; } if(CDF > -.5) fHistRhoStatusCent->Fill(fCent, 1.); return kFALSE; // return false if the fit is rejected } return kTRUE; } //_____________________________________________________________________________ Bool_t AliAnalysisTaskJetV2::PassesCuts(AliVEvent* event) { // event cuts #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif switch (fCollisionType) { case kJetFlowMC : { fInCentralitySelection = 0; return kTRUE; } break; default : break; } if(!event || !AliAnalysisTaskEmcal::IsEventSelected()) return kFALSE; if(TMath::Abs(InputEvent()->GetPrimaryVertex()->GetZ()) > 10.) return kFALSE; // aod and esd specific checks switch (fDataType) { case kESD: { AliESDEvent* esdEvent = static_cast<AliESDEvent*>(InputEvent()); if( (!esdEvent) || (TMath::Abs(esdEvent->GetPrimaryVertexSPD()->GetZ() - esdEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE; } break; case kAOD: { AliAODEvent* aodEvent = static_cast<AliAODEvent*>(InputEvent()); if( (!aodEvent) || (TMath::Abs(aodEvent->GetPrimaryVertexSPD()->GetZ() - aodEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE; } break; default: break; } fCent = InputEvent()->GetCentrality()->GetCentralityPercentile("V0M"); if(fCent <= fCentralityClasses->At(0) || fCent >= fCentralityClasses->At(fCentralityClasses->GetSize()-1) || TMath::Abs(fCent-InputEvent()->GetCentrality()->GetCentralityPercentile("TRK")) > 5.) return kFALSE; // determine centrality class fInCentralitySelection = -1; for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) { if(fCent >= fCentralityClasses->At(i) && fCent <= fCentralityClasses->At(1+i)) { fInCentralitySelection = i; break; } } if(fInCentralitySelection<0) return kFALSE; // should be null op // see if input containers are filled if(fTracks->GetEntries() < 1) return kFALSE; if(fRho->GetVal() <= 0 ) return kFALSE; if(fAnalysisType == AliAnalysisTaskJetV2::kFull && !fClusterCont) return kFALSE; return kTRUE; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillHistogramsAfterSubtraction(Double_t psi2, Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) { // fill histograms #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif // fill histograms. weight is 1 when no procedure is defined FillWeightedTrackHistograms(); if(fAnalysisType == AliAnalysisTaskJetV2::kFull) FillWeightedClusterHistograms(); FillWeightedJetHistograms(psi2); if(fFillQAHistograms) FillWeightedEventPlaneHistograms(vzero, vzeroComb, tpc); FillWeightedRhoHistograms(); FillWeightedDeltaPtHistograms(psi2); } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillQAHistograms(AliVTrack* vtrack) const { // fill qa histograms for pico tracks #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(!vtrack) return; AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack); fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi()); fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta()); Int_t type((int)(track->GetTrackType())); switch (type) { case 0: fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi()); break; case 1: fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi()); break; case 2: fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi()); break; default: break; } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillQAHistograms(AliVEvent* vevent) { // fill qa histograms for events #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(!vevent) return; fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ()); fHistCentrality->Fill(fCent); Int_t runNumber(InputEvent()->GetRunNumber()); if(fLeadingJet && fLeadingJetAfterSub) fHistLeadingJetBackground[fInCentralitySelection]->Fill(TMath::Abs(fLeadingJet->Eta()-fLeadingJetAfterSub->Eta()), PhaseShift(fLeadingJet->Phi()-fLeadingJetAfterSub->Phi())); for(fMappedRunNumber = 0; fMappedRunNumber < fExpectedRuns->GetSize(); fMappedRunNumber++) { if(fExpectedRuns->At(fMappedRunNumber) == runNumber) return; } #ifdef DEBUGTASK printf("\n > TASK %s CANNOT IDENTIFY RUN - CONFIGURATION COULD BE INCORRECT < \n", GetName()); #endif } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillWeightedTrackHistograms() const { // fill track histograms #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Int_t iTracks(fTracks->GetEntriesFast()), iAcceptedTracks(0); for(Int_t i(0); i < iTracks; i++) { AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i)); if(!PassesCuts(track)) continue; iAcceptedTracks++; fHistPicoTrackPt[fInCentralitySelection]->Fill(track->Pt(), fEventPlaneWeight); if(fFillQAHistograms) FillQAHistograms(track); } fHistPicoTrackMult[fInCentralitySelection]->Fill(iAcceptedTracks, fEventPlaneWeight); } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillWeightedClusterHistograms() const { // fill cluster histograms #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(!fClusterCont) return; Int_t iClusters(fClusterCont->GetNClusters()); TLorentzVector clusterLorentzVector; for(Int_t i(0); i < iClusters; i++) { AliVCluster* cluster = fClusterCont->GetCluster(i); if (!PassesCuts(cluster)) continue; cluster->GetMomentum(clusterLorentzVector, const_cast<Double_t*>(fVertex)); fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt(), fEventPlaneWeight); fHistClusterEtaPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), fEventPlaneWeight); fHistClusterEtaPhiWeighted[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), clusterLorentzVector.Pt()*fEventPlaneWeight); } return; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillWeightedEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const { // fill event plane histograms, only called in qa mode #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif fHistPsiControl->Fill(0.5, vzero[0][0], fEventPlaneWeight); // vzero a psi2 fHistPsiControl->Fill(1.5, vzero[1][0], fEventPlaneWeight); // vzero c psi2 fHistPsiControl->Fill(2.5, tpc[0], fEventPlaneWeight); // tpc psi 2 fHistPsiControl->Fill(5.5, vzero[0][1], fEventPlaneWeight); // vzero a psi3 fHistPsiControl->Fill(6.5, vzero[1][1], fEventPlaneWeight); // vzero b psi3 fHistPsiControl->Fill(7.5, tpc[1], fEventPlaneWeight); // tpc psi 3 fHistPsiVZEROA->Fill(vzero[0][0], fEventPlaneWeight); fHistPsiVZEROC->Fill(vzero[1][0], fEventPlaneWeight); fHistPsiVZERO->Fill(vzeroComb[0], fEventPlaneWeight); fHistPsiTPC->Fill(tpc[0], fEventPlaneWeight); fHistPsiSpread->Fill(0.5, TMath::Abs(vzero[0][0]-vzero[1][0]), fEventPlaneWeight); fHistPsiSpread->Fill(1.5, TMath::Abs(vzero[0][0]-tpc[0]), fEventPlaneWeight); fHistPsiSpread->Fill(2.5, TMath::Abs(vzero[1][0]-tpc[0]), fEventPlaneWeight); // event plane vs centrality QA histo's to check recentering Double_t TRK(InputEvent()->GetCentrality()->GetCentralityPercentile("TRK")); Double_t V0M(InputEvent()->GetCentrality()->GetCentralityPercentile("V0M")); fHistPsiVZEROAV0M->Fill(V0M, vzero[0][0], fEventPlaneWeight); fHistPsiVZEROCV0M->Fill(V0M, vzero[1][0], fEventPlaneWeight); fHistPsiVZEROVV0M->Fill(V0M, vzeroComb[0], fEventPlaneWeight); fHistPsiTPCV0M->Fill(V0M, tpc[0], fEventPlaneWeight); fHistPsiVZEROATRK->Fill(TRK, vzero[0][0], fEventPlaneWeight); fHistPsiVZEROCTRK->Fill(TRK, vzero[1][0], fEventPlaneWeight); fHistPsiVZEROTRK->Fill(TRK, vzeroComb[0], fEventPlaneWeight); fHistPsiTPCTRK->Fill(TRK, tpc[0], fEventPlaneWeight); // leading jet vs event plane bias if(fLeadingJet) { Double_t rho(fLocalRho->GetLocalVal(fLeadingJet->Phi(), GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())); Double_t pt(fLeadingJet->Pt() - fLeadingJet->Area()*rho); fHistPsiTPCLeadingJet[fInCentralitySelection]->Fill(pt, tpc[0], fLeadingJet->Phi(), fEventPlaneWeight); fHistPsiVZEROALeadingJet[fInCentralitySelection]->Fill(pt, vzero[0][0], fLeadingJet->Phi(), fEventPlaneWeight); fHistPsiVZEROCLeadingJet[fInCentralitySelection]->Fill(pt, vzero[1][0], fLeadingJet->Phi(), fEventPlaneWeight); fHistPsiVZEROCombLeadingJet[fInCentralitySelection]->Fill(pt, vzeroComb[0], fLeadingJet->Phi(), fEventPlaneWeight); } // correlation of event planes fHistPsi2Correlation[fInCentralitySelection]->Fill(tpc[0], vzero[0][0], vzero[1][0], fEventPlaneWeight); } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillWeightedRhoHistograms() { // fill rho histograms #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif fHistRhoPackage[fInCentralitySelection]->Fill(fLocalRho->GetVal(), fEventPlaneWeight); // save the rho estimate from the emcal jet package // get multiplicity FIXME inefficient Int_t iJets(fJets->GetEntriesFast()); Double_t rho(fLocalRho->GetLocalVal(TMath::Pi(), TMath::Pi(), fLocalRho->GetVal())); fHistRho[fInCentralitySelection]->Fill(rho, fEventPlaneWeight); fHistRhoVsMult->Fill(fTracks->GetEntries(), rho, fEventPlaneWeight); fHistRhoVsCent->Fill(fCent, rho, fEventPlaneWeight); for(Int_t i(0); i < iJets; i++) { AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i)); if(!PassesCuts(jet)) continue; fHistRhoAVsMult->Fill(fTracks->GetEntries(), rho * jet->Area(), fEventPlaneWeight); fHistRhoAVsCent->Fill(fCent, rho * jet->Area(), fEventPlaneWeight); } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillWeightedDeltaPtHistograms(Double_t psi2) const { // fill delta pt histograms #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Int_t i(0); const Float_t areaRC = GetJetRadius()*GetJetRadius()*TMath::Pi(); // we're retrieved the leading jet, now get a random cone for(i = 0; i < fMaxCones; i++) { Float_t pt(0), eta(0), phi(0); // get a random cone without constraints on leading jet position CalculateRandomCone(pt, eta, phi, fTracksCont, fClusterCont, 0x0); if(pt > 0) { if(fFillQAHistograms) fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta, fEventPlaneWeight); fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC, fEventPlaneWeight); fHistRCPt[fInCentralitySelection]->Fill(pt, fEventPlaneWeight); fHistDeltaPtDeltaPhi2[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()), fEventPlaneWeight); fHistDeltaPtDeltaPhi2Rho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal(), fEventPlaneWeight); } // get a random cone excluding leading jet area CalculateRandomCone(pt, eta, phi, fTracksCont, fClusterCont, fLeadingJet); if(pt > 0) { if(fFillQAHistograms) fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta, fEventPlaneWeight); fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC, fEventPlaneWeight); fHistRCPtExLJ[fInCentralitySelection]->Fill(pt, fEventPlaneWeight); fHistDeltaPtDeltaPhi2ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()), fEventPlaneWeight); fHistDeltaPtDeltaPhi2ExLJRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal(), fEventPlaneWeight); } } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillWeightedJetHistograms(Double_t psi2) { // fill jet histograms #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Int_t iJets(fJets->GetEntriesFast()); UInt_t trigger(0); if(fFillQAHistograms) { trigger = ((AliInputEventHandler*)(AliAnalysisManager::GetAnalysisManager()->GetInputEventHandler()))->IsEventSelected(); #ifdef DEBUGTASK PrintTriggerSummary(trigger); #endif } for(Int_t i(0); i < iJets; i++) { AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i)); if(PassesCuts(jet)) { Double_t pt(jet->Pt()), area(jet->Area()), eta(jet->Eta()), phi(jet->Phi()); Double_t rho(fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())); fHistJetPtRaw[fInCentralitySelection]->Fill(pt, fEventPlaneWeight); fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho, fEventPlaneWeight); if(fFillQAHistograms) { fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi, fEventPlaneWeight); FillWeightedTriggerQA(PhaseShift(phi-psi2, 2.), pt - area*rho, trigger); } fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area, fEventPlaneWeight); fHistJetPtEta[fInCentralitySelection]->Fill(pt-area*rho, eta, fEventPlaneWeight); fHistJetPsi2Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*rho, fEventPlaneWeight); fHistJetPsi2PtRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*fLocalRho->GetVal(), fEventPlaneWeight); fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->GetNumberOfConstituents(), fEventPlaneWeight); fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area, fEventPlaneWeight); } } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillWeightedQAHistograms(AliVTrack* vtrack) const { // fill qa histograms for pico tracks #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(!vtrack) return; AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack); fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi(), fEventPlaneWeight); fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta(), fEventPlaneWeight); Int_t type((int)(track->GetTrackType())); switch (type) { case 0: fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi(), fEventPlaneWeight); break; case 1: fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi(), fEventPlaneWeight); break; case 2: fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi(), fEventPlaneWeight); break; default: break; } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillWeightedQAHistograms(AliVEvent* vevent) { // fill qa histograms for events #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(!vevent) return; fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ()); fHistCentrality->Fill(fCent); Int_t runNumber(InputEvent()->GetRunNumber()); if(fLeadingJet && fLeadingJetAfterSub) fHistLeadingJetBackground[fInCentralitySelection]->Fill(TMath::Abs(fLeadingJet->Eta()-fLeadingJetAfterSub->Eta()), PhaseShift(fLeadingJet->Phi()-fLeadingJetAfterSub->Phi()), fEventPlaneWeight); for(fMappedRunNumber = 0; fMappedRunNumber < fExpectedRuns->GetSize(); fMappedRunNumber++) { if(fExpectedRuns->At(fMappedRunNumber) == runNumber) return; } #ifdef DEBUGTASK printf("\n > TASK %s CANNOT IDENTIFY RUN - CONFIGURATION COULD BE INCORRECT < \n", GetName()); #endif } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillWeightedTriggerQA(Double_t dPhi, Double_t pt, UInt_t trigger) { // fill the trigger efficiency histograms #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif // some trigger definitions for readability. the way this routine is set up is as follows // 1) define combined trigger conditions, e.g. bitwise representation of a combined trigger // trigger a = 0 0 1 // trigger b = 1 0 0 // combined trigger mask = 1 0 1 // combined trigger is mask is defined using bitwise OR // 2) check the condition using bitwise AND and equals operator on unsigned integer // (incoming trigger & mask) == mask // 2a) which will do, when incoming trigger equals mask // 1 0 1 & 1 0 1 -> 1 0 1 // when checked against requested mask // UInt_t(1 0 1) == UInt_t(1 0 1) returns true // 2b) for an imcompatible trigger, e.g. // 0 0 1 & 1 0 1 -> 0 0 1 // UInt_t(0 0 1) == UInt_t(1 0 1) returns false // preparing the combined trigger masks UInt_t MB_EMCEJE(AliVEvent::kMB | AliVEvent::kEMCEJE); UInt_t CEN_EMCEJE(AliVEvent::kCentral | AliVEvent::kEMCEJE); UInt_t SEM_EMCEJE(AliVEvent::kSemiCentral | AliVEvent::kEMCEJE); UInt_t ALL_EMCEJE(AliVEvent::kMB | AliVEvent::kCentral | AliVEvent::kSemiCentral | AliVEvent::kEMCEJE); UInt_t MB_EMCEGA(AliVEvent::kMB | AliVEvent::kEMCEGA); UInt_t CEN_EMCEGA(AliVEvent::kCentral | AliVEvent::kEMCEGA); UInt_t SEM_EMCEGA(AliVEvent::kSemiCentral | AliVEvent::kEMCEGA); UInt_t ALL_EMCEGA(AliVEvent::kMB | AliVEvent::kCentral | AliVEvent::kSemiCentral | AliVEvent::kEMCEGA); // actual routine if(IsInPlane(dPhi)) { // in plane bookkeeping of fired triggers. not 'exclusive' so no == necessary if(trigger == 0) fHistTriggerQAIn[fInCentralitySelection]->Fill(1, pt); if(trigger & AliVEvent::kAny) fHistTriggerQAIn[fInCentralitySelection]->Fill(2, pt); if(trigger & AliVEvent::kAnyINT) fHistTriggerQAIn[fInCentralitySelection]->Fill(3, pt); if(trigger & AliVEvent::kMB) fHistTriggerQAIn[fInCentralitySelection]->Fill(4, pt); if(trigger & AliVEvent::kCentral) fHistTriggerQAIn[fInCentralitySelection]->Fill(5, pt); if(trigger & AliVEvent::kSemiCentral) fHistTriggerQAIn[fInCentralitySelection]->Fill(6, pt); if(trigger & AliVEvent::kEMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(7, pt); if(trigger & AliVEvent::kEMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(8, pt); // in plane bookkeeping of trigger combinations (for efficiency) if((trigger & MB_EMCEJE) == MB_EMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(9, pt); if((trigger & CEN_EMCEJE) == CEN_EMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(10, pt); if((trigger & SEM_EMCEJE) == SEM_EMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(11, pt); if((trigger & ALL_EMCEJE) == ALL_EMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(12, pt); if((trigger & MB_EMCEGA) == MB_EMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(13, pt); if((trigger & CEN_EMCEGA) == CEN_EMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(14, pt); if((trigger & SEM_EMCEGA) == SEM_EMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(15, pt); if((trigger & ALL_EMCEGA) == ALL_EMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(16, pt); } else { // out-of-plane bookkeeping of fired triggers. not 'exclusive' so no == necessary if(trigger == 0) fHistTriggerQAOut[fInCentralitySelection]->Fill(1, pt); if(trigger & AliVEvent::kAny) fHistTriggerQAOut[fInCentralitySelection]->Fill(2, pt); if(trigger & AliVEvent::kAnyINT) fHistTriggerQAOut[fInCentralitySelection]->Fill(3, pt); if(trigger & AliVEvent::kMB) fHistTriggerQAOut[fInCentralitySelection]->Fill(4, pt); if(trigger & AliVEvent::kCentral) fHistTriggerQAOut[fInCentralitySelection]->Fill(5, pt); if(trigger & AliVEvent::kSemiCentral) fHistTriggerQAOut[fInCentralitySelection]->Fill(6, pt); if(trigger & AliVEvent::kEMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(7, pt); if(trigger & AliVEvent::kEMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(8, pt); // out-of-plane bookkeeping of trigger combinations (for efficiency) if((trigger & MB_EMCEJE) == MB_EMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(9, pt); if((trigger & CEN_EMCEJE) == CEN_EMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(10, pt); if((trigger & SEM_EMCEJE) == SEM_EMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(11, pt); if((trigger & ALL_EMCEJE) == ALL_EMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(12, pt); if((trigger & MB_EMCEGA) == MB_EMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(13, pt); if((trigger & CEN_EMCEGA) == CEN_EMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(14, pt); if((trigger & SEM_EMCEGA) == SEM_EMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(15, pt); if((trigger & ALL_EMCEGA) == ALL_EMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(16, pt); } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::FillAnalysisSummaryHistogram() const { // fill the analysis summary histrogram, saves all relevant analysis settigns #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif fHistAnalysisSummary->GetXaxis()->SetBinLabel(2, "fJetRadius"); fHistAnalysisSummary->SetBinContent(2, GetJetContainer()->GetJetRadius()); fHistAnalysisSummary->GetXaxis()->SetBinLabel(3, "fJetEtaMin"); fHistAnalysisSummary->SetBinContent(3, GetJetContainer()->GetJetEtaMin()); fHistAnalysisSummary->GetXaxis()->SetBinLabel(4, "fJetEtaMax"); fHistAnalysisSummary->SetBinContent(4, GetJetContainer()->GetJetEtaMax()); fHistAnalysisSummary->GetXaxis()->SetBinLabel(5, "fJetPhiMin"); fHistAnalysisSummary->SetBinContent(5, GetJetContainer()->GetJetPhiMin()); fHistAnalysisSummary->GetXaxis()->SetBinLabel(6, "fJetPhiMax"); fHistAnalysisSummary->SetBinContent(6, GetJetContainer()->GetJetPhiMin()); fHistAnalysisSummary->GetXaxis()->SetBinLabel(16, "fForceBeamType"); fHistAnalysisSummary->SetBinContent(16, fForceBeamType); fHistAnalysisSummary->GetXaxis()->SetBinLabel(17, "fMinCent"); fHistAnalysisSummary->SetBinContent(17, fMinCent); fHistAnalysisSummary->GetXaxis()->SetBinLabel(18, "fMaxCent"); fHistAnalysisSummary->SetBinContent(18, fMaxCent); fHistAnalysisSummary->GetXaxis()->SetBinLabel(19, "fMinVz"); fHistAnalysisSummary->SetBinContent(19, fMinVz); fHistAnalysisSummary->GetXaxis()->SetBinLabel(20, "fMaxVz"); fHistAnalysisSummary->SetBinContent(20, fMaxVz); fHistAnalysisSummary->GetXaxis()->SetBinLabel(21, "fOffTrigger"); fHistAnalysisSummary->SetBinContent(21, fOffTrigger); fHistAnalysisSummary->GetXaxis()->SetBinLabel(34, "fitModulationType"); fHistAnalysisSummary->SetBinContent(34, (int)fFitModulationType); fHistAnalysisSummary->GetXaxis()->SetBinLabel(35, "runModeType"); fHistAnalysisSummary->SetBinContent(35, (int)fRunModeType); fHistAnalysisSummary->GetXaxis()->SetBinLabel(36, "data type"); fHistAnalysisSummary->SetBinContent(36, (int)fDataType); fHistAnalysisSummary->GetXaxis()->SetBinLabel(37, "iterator"); fHistAnalysisSummary->SetBinContent(37, 1.); fHistAnalysisSummary->GetXaxis()->SetBinLabel(38, "fMinPvalue"); fHistAnalysisSummary->SetBinContent(38, fMinPvalue); fHistAnalysisSummary->GetXaxis()->SetBinLabel(39, "fMaxPvalue"); fHistAnalysisSummary->SetBinContent(39, fMaxPvalue); fHistAnalysisSummary->GetXaxis()->SetBinLabel(40, "fExcludeLeadingJetsFromFit"); fHistAnalysisSummary->SetBinContent(40, fExcludeLeadingJetsFromFit); fHistAnalysisSummary->GetXaxis()->SetBinLabel(41, "fRebinSwapHistoOnTheFly"); fHistAnalysisSummary->SetBinContent(41, (int)fRebinSwapHistoOnTheFly); fHistAnalysisSummary->GetXaxis()->SetBinLabel(42, "fUsePtWeight"); fHistAnalysisSummary->SetBinContent(42, (int)fUsePtWeight); fHistAnalysisSummary->GetXaxis()->SetBinLabel(44, "fSoftTrackMinPt"); fHistAnalysisSummary->SetBinContent(44, fSoftTrackMinPt); fHistAnalysisSummary->GetXaxis()->SetBinLabel(45, "fSoftTrackMaxPt"); fHistAnalysisSummary->SetBinContent(45, fSoftTrackMaxPt); fHistAnalysisSummary->GetXaxis()->SetBinLabel(46, "fMaxCones"); fHistAnalysisSummary->SetBinContent(46, fMaxCones); fHistAnalysisSummary->GetXaxis()->SetBinLabel(47, "used rho"); fHistAnalysisSummary->GetXaxis()->SetBinLabel(48, "used small rho"); } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::Terminate(Option_t *) { // terminate switch (fRunModeType) { case kLocal : { #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif AliAnalysisTaskJetV2::Dump(); for(Int_t i(0); i < fHistAnalysisSummary->GetXaxis()->GetNbins(); i++) printf( " > flag: %s \t content %.2f \n", fHistAnalysisSummary->GetXaxis()->GetBinLabel(1+i), fHistAnalysisSummary->GetBinContent(1+i)); } break; default : break; } } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::SetModulationFit(TF1* fit) { // set modulation fit #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if (fFitModulation) delete fFitModulation; fFitModulation = fit; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::SetUseControlFit(Bool_t c) { // set control fit #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if (fFitControl) delete fFitControl; if (c) { fFitControl = new TF1("controlFit", "pol0", 0, TMath::TwoPi()); } else fFitControl = 0x0; } //_____________________________________________________________________________ TH1F* AliAnalysisTaskJetV2::GetResolutionFromOuptutFile(detectorType det, Int_t h, TArrayD* cen) { // INTERFACE METHOD FOR OUTPUTFILE // get the detector resolution, user has ownership of the returned histogram #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif if(!fOutputList) { printf(" > Please add fOutputList first < \n"); return 0x0; } TH1F* r(0x0); (cen) ? r = new TH1F("R", "R", cen->GetSize()-1, cen->GetArray()) : r = new TH1F("R", "R", 10, 0, 10); if(!cen) r->GetXaxis()->SetTitle("number of centrality bin"); r->GetYaxis()->SetTitle(Form("Resolution #Psi_{%i}", h)); for(Int_t i(0); i < 10; i++) { TProfile* temp((TProfile*)fOutputList->FindObject(Form("fProfV%iResolution_%i", h, i))); if(!temp) break; Double_t a(temp->GetBinContent(3)), b(temp->GetBinContent(5)), c(temp->GetBinContent(7)); Double_t d(temp->GetBinContent(9)), e(temp->GetBinContent(10)), f(temp->GetBinContent(11)); Double_t _a(temp->GetBinError(3)), _b(temp->GetBinError(5)), _c(temp->GetBinError(7)); Double_t _d(temp->GetBinError(9)), _e(temp->GetBinError(10)), _f(temp->GetBinError(11)); if(a <= 0 || b <= 0 || c <= 0 || d <= 0 || e <= 0 || f <= 0) continue; switch (det) { case kVZEROA : { r->SetBinContent(1+i, TMath::Sqrt((a*b)/c)); if(i==0) r->SetNameTitle("VZEROA resolution", "VZEROA resolution"); r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c)); } break; case kVZEROC : { r->SetBinContent(1+i, TMath::Sqrt((a*c)/b)); if(i==0) r->SetNameTitle("VZEROC resolution", "VZEROC resolution"); r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c)); } break; case kTPC : { r->SetBinContent(1+i, TMath::Sqrt((b*c)/a)); if(i==0) r->SetNameTitle("TPC resolution", "TPC resolution"); r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c)); } break; case kVZEROComb : { r->SetBinContent(1+i, TMath::Sqrt((d*e)/f)); if(i==0) r->SetNameTitle("VZEROComb resolution", "VZEROComb resolution"); r->SetBinError(1+i, TMath::Sqrt(_d*_d+_e*_e+_f*_f)); } break; default : break; } } return r; } //_____________________________________________________________________________ TH1F* AliAnalysisTaskJetV2::CorrectForResolutionDiff(TH1F* v, detectorType det, TArrayD* cen, Int_t c, Int_t h) { // INTERFACE METHOD FOR OUTPUT FILE // correct the supplied differential vn histogram v for detector resolution #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif TH1F* r(GetResolutionFromOuptutFile(det, h, cen)); if(!r) { printf(" > Couldn't find resolution < \n"); return 0x0; } Double_t res(1./r->GetBinContent(1+r->FindBin(c))); TF1* line = new TF1("line", "pol0", 0, 200); line->SetParameter(0, res); v->Multiply(line); return v; } //_____________________________________________________________________________ TH1F* AliAnalysisTaskJetV2::CorrectForResolutionInt(TH1F* v, detectorType det, TArrayD* cen, Int_t h) { // INTERFACE METHOD FOR OUTPUT FILE // correct the supplied intetrated vn histogram v for detector resolution // integrated vn must have the same centrality binning as the resolotion correction #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif TH1F* r(GetResolutionFromOuptutFile(det, h, cen)); v->Divide(v, r); return v; } //_____________________________________________________________________________ TH1F* AliAnalysisTaskJetV2::GetDifferentialQC(TProfile* refCumulants, TProfile* diffCumlants, TArrayD* ptBins, Int_t h) { // get differential QC #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Double_t r(refCumulants->GetBinContent(h-1)); // v2 reference flow if(r > 0) r = TMath::Sqrt(r); TH1F* qc = new TH1F(Form("QC2v%i", h), Form("QC2v%i", h), ptBins->GetSize()-1, ptBins->GetArray()); Double_t a(0), b(0), c(0); // dummy variables for(Int_t i(0); i < ptBins->GetSize(); i++) { if(r > 0) { a = diffCumlants->GetBinContent(1+i); b = diffCumlants->GetBinError(1+i); c = a/r; qc->SetBinContent(1+i, c); (a <= 0 || b <= 0) ? qc->SetBinError(1+i, b) : qc->SetBinError(1+i, TMath::Sqrt(c*c*b*b/(a*a))); } } return qc; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::ReadVZEROCalibration2010h() { // necessary for calibration of 10h vzero event plane. code copied from flow package // (duplicate, but i didn't want to introduce an ulgy dependency ) // this function is only called when the runnumber changes #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif // 1) check if the proper chi weights for merging vzero a and vzero c ep are present // if not, use sane defaults. centrality binning is equal to that given in the fVZEROcentralityBin snippet // // chi values can be calculated using the static helper function // AliAnalysisTaskJetV2::CalculateEventPlaneChi(Double_t res) where res is the event plane // resolution in a given centrality bin // // the resolutions that were used for these defaults are // this might need a bit of updating as they were read 'by-eye' from a performance plot .. // Double_t R2VZEROA[] = {.35, .40, .48, .50, .48, .45, .38, .26, .16}; // Double_t R2VZEROC[] = {.45, .60, .70, .73, .68, .60, .40, .36, .17}; // Double_t R3VZEROA[] = {.22, .23, .22, .19, .15, .12, .08, .00, .00}; // Double_t R3VZEROC[] = {.30, .30, .28, .25, .22, .17, .11, .00, .00}; Double_t chiC2[] = {0.771423, 1.10236, 1.38116, 1.48077, 1.31964, 1.10236, 0.674622, 0.600403, 0.273865}; Double_t chiA2[] = {0.582214, 0.674622, 0.832214, 0.873962, 0.832214, 0.771423, 0.637146, 0.424255, 0.257385}; Double_t chiC3[] = {0.493347, 0.493347, 0.458557, 0.407166, 0.356628, 0.273865, 0.176208, 6.10352e-05, 6.10352e-05}; Double_t chiA3[] = {0.356628, 0.373474, 0.356628, 0.306702, 0.24115, 0.192322, 0.127869, 6.10352e-05, 6.10352e-05}; if(!fChi2A) fChi2A = new TArrayD(9, chiA2); if(!fChi2C) fChi2C = new TArrayD(9, chiC2); if(!fChi3A) fChi3A = new TArrayD(9, chiA3); if(!fChi3C) fChi3C = new TArrayD(9, chiC3); // 2) open database file fOADB = TFile::Open("$ALICE_ROOT/OADB/PWGCF/VZERO/VZEROcalibEP.root"); if(fOADB->IsZombie()){ printf("OADB file $ALICE_ROOT/OADB/PWGCF/VZERO/VZEROcalibEP.root cannot be opened, CALIBRATION FAILED !"); return; } AliOADBContainer *cont = (AliOADBContainer*) fOADB->Get("hMultV0BefCorr"); if(!cont){ // see if database is readable printf("OADB object hMultV0BefCorr is not available in the file\n"); return; } Int_t run(fRunNumber); if(!(cont->GetObject(run))){ // if the run isn't recognized fall back to a default run printf("OADB object hMultVZEROBefCorr is not available for run %i (used default run 137366)\n",run); run = 137366; } // step 3) get the proper multiplicity weights from the vzero signal fVZEROgainEqualization = ((TH2F*)cont->GetObject(run))->ProfileX(); if(!fVZEROgainEqualization) { AliFatal(Form("%s: Fatal error, couldn't read fVZEROgainEqualization from OADB object < \n", GetName())); return; } TF1* fpol0 = new TF1("fpol0","pol0"); if(fVZEROgainEqualizationPerRing) { // do the calibration per ring // start with the vzero c rings (segments 0 through 31) fVZEROgainEqualization->Fit(fpol0, "", "", 0, 8); (fUseVZERORing[0]) ? SetVZEROCpol(0, fpol0->GetParameter(0)) : SetVZEROCpol(0, 0.); fVZEROgainEqualization->Fit(fpol0, "", "", 8, 16); (fUseVZERORing[1]) ? SetVZEROCpol(1, fpol0->GetParameter(0)) : SetVZEROCpol(1, 0.); fVZEROgainEqualization->Fit(fpol0, "", "", 16, 24); (fUseVZERORing[2]) ? SetVZEROCpol(2, fpol0->GetParameter(0)) : SetVZEROCpol(2, 0.); fVZEROgainEqualization->Fit(fpol0, "", "", 24, 32); (fUseVZERORing[3]) ? SetVZEROCpol(3, fpol0->GetParameter(0)) : SetVZEROCpol(3, 0.); // same thing for vero A fVZEROgainEqualization->Fit(fpol0, "", "", 32, 40); (fUseVZERORing[4]) ? SetVZEROApol(0, fpol0->GetParameter(0)) : SetVZEROApol(0, 0.); fVZEROgainEqualization->Fit(fpol0, "", "", 40, 48); (fUseVZERORing[5]) ? SetVZEROApol(1, fpol0->GetParameter(0)) : SetVZEROApol(1, 0.); fVZEROgainEqualization->Fit(fpol0, "", "", 48, 56); (fUseVZERORing[6]) ? SetVZEROApol(2, fpol0->GetParameter(0)) : SetVZEROApol(2, 0.); fVZEROgainEqualization->Fit(fpol0, "", "", 56, 64); (fUseVZERORing[7]) ? SetVZEROApol(3, fpol0->GetParameter(0)) : SetVZEROApol(3, 0.); } else { // do the calibration in one go. the calibration will still be // stored per ring, but each ring has the same weight now // this should be the default for the analysis as the database is tuned to this configuration fVZEROgainEqualization->Fit(fpol0,"","",0,31); for(Int_t i(0); i < 4; i++) SetVZEROCpol(i, fpol0->GetParameter(0)); fVZEROgainEqualization->Fit(fpol0,"","",32,64); for(Int_t i(0); i < 4; i++) SetVZEROApol(i, fpol0->GetParameter(0)); } // step 4) extract the information to re-weight the q-vectors for(Int_t iside=0;iside<2;iside++){ for(Int_t icoord=0;icoord<2;icoord++){ for(Int_t i=0;i < 9;i++){ char namecont[100]; if(iside==0 && icoord==0) snprintf(namecont,100,"hQxc2_%i",i); else if(iside==1 && icoord==0) snprintf(namecont,100,"hQxa2_%i",i); else if(iside==0 && icoord==1) snprintf(namecont,100,"hQyc2_%i",i); else if(iside==1 && icoord==1) snprintf(namecont,100,"hQya2_%i",i); cont = (AliOADBContainer*) fOADB->Get(namecont); if(!cont){ printf("OADB object %s is not available in the file\n",namecont); return; } if(!(cont->GetObject(run))){ printf("OADB object %s is not available for run %i (used run 137366)\n",namecont,run); run = 137366; } // store info for all centralities to cache fMeanQ[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetMean(); fWidthQ[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetRMS(); //for v3 if(iside==0 && icoord==0) snprintf(namecont,100,"hQxc3_%i",i); else if(iside==1 && icoord==0) snprintf(namecont,100,"hQxa3_%i",i); else if(iside==0 && icoord==1) snprintf(namecont,100,"hQyc3_%i",i); else if(iside==1 && icoord==1) snprintf(namecont,100,"hQya3_%i",i); cont = (AliOADBContainer*) fOADB->Get(namecont); if(!cont){ printf("OADB object %s is not available in the file\n",namecont); return; } if(!(cont->GetObject(run))){ printf("OADB object %s is not available for run %i (used run 137366)\n",namecont,run); run = 137366; } // store info for all centralities to cache fMeanQv3[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetMean(); fWidthQv3[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetRMS(); } } } // cleanup. the opened file is closed in the destructor, otherwise fVZEROgainEqualization is no longer available delete fpol0; } //_____________________________________________________________________________ Int_t AliAnalysisTaskJetV2::GetVZEROCentralityBin() const { // return cache index number corresponding to the event centrality #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Float_t v0Centr(InputEvent()->GetCentrality()->GetCentralityPercentile("V0M")); if(v0Centr < 5) return 0; else if(v0Centr < 10) return 1; else if(v0Centr < 20) return 2; else if(v0Centr < 30) return 3; else if(v0Centr < 40) return 4; else if(v0Centr < 50) return 5; else if(v0Centr < 60) return 6; else if(v0Centr < 70) return 7; else return 8; } //_____________________________________________________________________________ AliEmcalJet* AliAnalysisTaskJetV2::GetLeadingJet(AliLocalRhoParameter* localRho) { // return pointer to the highest pt jet (before background subtraction) within acceptance // only rudimentary cuts are applied on this level, hence the implementation outside of // the framework #ifdef DEBUGTASK printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); #endif Int_t iJets(fJets->GetEntriesFast()); Double_t pt(0); AliEmcalJet* leadingJet(0x0); if(!localRho) { for(Int_t i(0); i < iJets; i++) { AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i)); if(!PassesSimpleCuts(jet)) continue; if(jet->Pt() > pt) { leadingJet = jet; pt = leadingJet->Pt(); } } return leadingJet; } else { // return leading jet after background subtraction Double_t rho(0); for(Int_t i(0); i < iJets; i++) { AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i)); if(!PassesSimpleCuts(jet)) continue; rho = localRho->GetLocalVal(jet->Phi(), GetJetContainer()->GetJetRadius(), localRho->GetVal()); if((jet->Pt()-jet->Area()*rho) > pt) { leadingJet = jet; pt = (leadingJet->Pt()-jet->Area()*rho); } } return leadingJet; } return 0x0; } //_____________________________________________________________________________ TH1F* AliAnalysisTaskJetV2::GetEventPlaneWeights(TH1F* hist) { // get event weights distribution from event plane distribution TH1F* temp((TH1F*)hist->Clone("EP_weights")); Double_t integral(hist->Integral()/hist->GetNbinsX()); // loop over bins and extract the weights for(Int_t i(0); i < hist->GetNbinsX(); i++) { temp->SetBinError(1+i, 0.); // uncertainty is irrelevant temp->SetBinContent(1+i, integral/hist->GetBinContent(1+i)); } return temp; } //_____________________________________________________________________________ void AliAnalysisTaskJetV2::PrintTriggerSummary(UInt_t trigger) { // test function to print binary representation of given trigger mask // trigger mask is represented by 32 bits (hardcoded as it is an UInt_t ) TString triggerName[] = { // trigger names and their corresponding bits. some bits have multiple names "kMB", // 0 "kINT7", // 1 "kMUON", // 2 "kHighMult", // 3 "kEMC1", // 4 "kCINT5", // 5 "kCMUS5 kMUSPB", // 6 "kMUSH7 kMUSHPB", // 7 "kMUL7 kMuonLikePB", // 8 "kMUU7 kMuonUnlikePB", // 9 "kEMC7 kEMC8", // 10 "kMUS7", // 11 "kPHI1", // 12 "kPHI7 kPHI8 kPHOSPb", // 13 "kEMCEJE", // 14 "kEMCEGA", // 15 "kCentral", // 16 "kSemiCentral", // 17 "kDG5", // 18 "kZED", // 19 "kSPI7 kSPI", // 20 "kINT8", // 21 "kMuonSingleLowPt", // 22 "kMuonSingleHighPt8", // 23 "kMuonLikeLowPt8", // 24 "kMuonUnlikeLowPt8", // 25 "kMuonUnlikeLowPt0", // 26 "kUserDefined", // 27 "kTRD"}; // 28 TString notTriggered = "not fired"; printf(" > trigger is %u \n ", trigger); // extract which triggers have been fired exactly and print summary of bits for (Int_t i(0); i < 29; i++) printf("[bit %i]\t [%u] [%s]\n", i, (trigger & ((UInt_t)1 << i)) ? 1U : 0U, (trigger & ((UInt_t)1 << i)) ? triggerName[i].Data() : notTriggered.Data()); // print accepted trigger combinations printf(" ====== accepted trigger combinations ======= \n"); UInt_t MB_EMCEJE(AliVEvent::kMB | AliVEvent::kEMCEJE); UInt_t CEN_EMCEJE(AliVEvent::kCentral | AliVEvent::kEMCEJE); UInt_t SEM_EMCEJE(AliVEvent::kSemiCentral | AliVEvent::kEMCEJE); UInt_t ALL_EMCEJE(AliVEvent::kMB | AliVEvent::kCentral | AliVEvent::kSemiCentral | AliVEvent::kEMCEJE); UInt_t MB_EMCEGA(AliVEvent::kMB | AliVEvent::kEMCEGA); UInt_t CEN_EMCEGA(AliVEvent::kCentral | AliVEvent::kEMCEGA); UInt_t SEM_EMCEGA(AliVEvent::kSemiCentral | AliVEvent::kEMCEGA); UInt_t ALL_EMCEGA(AliVEvent::kMB | AliVEvent::kCentral | AliVEvent::kSemiCentral | AliVEvent::kEMCEGA); if(trigger == 0) printf("(trigger == 0)\n"); if(trigger & AliVEvent::kAny) printf("(trigger & AliVEvent::kAny)\n"); if(trigger & AliVEvent::kAnyINT) printf("(trigger & AliVEvent::kAnyINT\n"); if(trigger & AliVEvent::kMB) printf("(trigger & AliVEvent::kMB)\n"); if(trigger & AliVEvent::kCentral) printf("(trigger & AliVEvent::kCentral)\n"); if(trigger & AliVEvent::kSemiCentral) printf("(trigger & AliVEvent::kSemiCentral)\n"); if(trigger & AliVEvent::kEMCEJE) printf("(trigger & AliVEvent::kEMCEJE)\n"); if(trigger & AliVEvent::kEMCEGA) printf("(trigger & AliVEvent::kEMCEGA)\n"); if((trigger & MB_EMCEJE) == MB_EMCEJE) printf("(trigger & MB_EMCEJE) == MB_EMCEJE)\n"); if((trigger & CEN_EMCEJE) == CEN_EMCEJE) printf("(trigger & CEN_EMCEJE) == CEN_EMCEJE)\n"); if((trigger & SEM_EMCEJE) == SEM_EMCEJE) printf("(trigger & SEM_EMCEJE) == SEM_EMCEJE)\n"); if((trigger & ALL_EMCEJE) == ALL_EMCEJE) printf("(trigger & ALL_EMCEJE) == ALL_EMCEJE)\n"); if((trigger & MB_EMCEGA) == MB_EMCEGA) printf("(trigger & MB_EMCEGA) == MB_EMCEGA)\n"); if((trigger & CEN_EMCEGA) == CEN_EMCEGA) printf("(trigger & CEN_EMCEGA) == CEN_EMCEGA)\n"); if((trigger & SEM_EMCEGA) == SEM_EMCEGA) printf("(trigger & SEM_EMCEGA) == SEM_EMCEGA)\n"); if((trigger & ALL_EMCEGA) == ALL_EMCEGA) printf("(trigger & ALL_EMCEGA) == ALL_EMCEGA)\n"); } //_____________________________________________________________________________
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