/************************************************************************** * 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. * **************************************************************************/ /* * analysis task for jet flow preparation * * 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 #include #include #include #include #include #include #include #include // aliroot includes #include #include #include #include #include #include #include // emcal jet framework includes #include #include #include #include #include class AliAnalysisTaskRhoVnModulation; using namespace std; ClassImp(AliAnalysisTaskRhoVnModulation) AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation() : AliAnalysisTaskEmcalJet("AliAnalysisTaskRhoVnModulation", kTRUE), fDebug(0), fLocalInit(0), fAttachToEvent(kTRUE), fSemiCentralInclusive(kFALSE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fJetsCont(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kTPC), fFitModulationOptions("QWLI"), fRunModeType(kGrid), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvaluePDF(0), fHistPvalueCDF(0), fHistRhoStatusCent(0), fMinDisanceRCtoLJ(0), fRandomConeRadius(-1.), fMaxCones(-1), fAbsVnHarmonics(kTRUE), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kTRUE), fExplicitOutlierCut(-1), fMinLeadingHadronPt(0), fSubtractJetPt(kFALSE), 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), fHistPsiTPCiV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) { 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; */ /* fHistClusterPhi[i] = 0; */ /* fHistClusterEta[i] = 0; */ /* fHistClusterCorrPt[i] = 0; */ /* fHistClusterCorrPhi[i] = 0; */ /* fHistClusterCorrEta[i] = 0; */ fHistRhoPackage[i] = 0; fHistRho[i] = 0; fHistRCPhiEta[i] = 0; fHistRhoVsRCPt[i] = 0; fHistRCPt[i] = 0; fHistDeltaPtDeltaPhi2[i] = 0; fHistDeltaPtDeltaPhi3[i] = 0; fHistRCPhiEtaExLJ[i] = 0; fHistRhoVsRCPtExLJ[i] = 0; fHistRCPtExLJ[i] = 0; fHistDeltaPtDeltaPhi2ExLJ[i] = 0; fHistDeltaPtDeltaPhi3ExLJ[i] = 0; /* fHistRCPhiEtaRand[i] = 0; */ /* fHistRhoVsRCPtRand[i] = 0; */ /* fHistRCPtRand[i] = 0; */ /* fHistDeltaPtDeltaPhi2Rand[i] = 0; */ /* fHistDeltaPtDeltaPhi3Rand[i] = 0; */ fHistJetPtRaw[i] = 0; fHistJetPt[i] = 0; fHistJetEtaPhi[i] = 0; fHistJetPtArea[i] = 0; fHistJetPtConstituents[i] = 0; fHistJetEtaRho[i] = 0; fHistJetPsi2Pt[i] = 0; fHistJetPsi3Pt[i] = 0; } // default constructor } //_____________________________________________________________________________ AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation(const char* name, runModeType type) : AliAnalysisTaskEmcalJet(name, kTRUE), fDebug(0), fLocalInit(0), fAttachToEvent(kTRUE), fSemiCentralInclusive(kFALSE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fJetsCont(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kTPC), fFitModulationOptions("QWLI"), fRunModeType(type), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvaluePDF(0), fHistPvalueCDF(0), fHistRhoStatusCent(0), fMinDisanceRCtoLJ(0), fRandomConeRadius(-1.), fMaxCones(-1), fAbsVnHarmonics(kTRUE), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kTRUE), fExplicitOutlierCut(-1), fMinLeadingHadronPt(0), fSubtractJetPt(kFALSE), 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), fHistPsiTPCiV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) { 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; */ /* fHistClusterPhi[i] = 0; */ /* fHistClusterEta[i] = 0; */ /* fHistClusterCorrPt[i] = 0; */ /* fHistClusterCorrPhi[i] = 0; */ /* fHistClusterCorrEta[i] = 0; */ fHistRhoPackage[i] = 0; fHistRho[i] = 0; fHistRCPhiEta[i] = 0; fHistRhoVsRCPt[i] = 0; fHistRCPt[i] = 0; fHistDeltaPtDeltaPhi2[i] = 0; fHistDeltaPtDeltaPhi3[i] = 0; fHistRCPhiEtaExLJ[i] = 0; fHistRhoVsRCPtExLJ[i] = 0; fHistRCPtExLJ[i] = 0; fHistDeltaPtDeltaPhi2ExLJ[i] = 0; fHistDeltaPtDeltaPhi3ExLJ[i] = 0; /* fHistRCPhiEtaRand[i] = 0; */ /* fHistRhoVsRCPtRand[i] = 0; */ /* fHistRCPtRand[i] = 0; */ /* fHistDeltaPtDeltaPhi2Rand[i] = 0; */ /* fHistDeltaPtDeltaPhi3Rand[i] = 0; */ fHistJetPtRaw[i] = 0; fHistJetPt[i] = 0; fHistJetEtaPhi[i] = 0; fHistJetPtArea[i] = 0; fHistJetPtConstituents[i] = 0; fHistJetEtaRho[i] = 0; fHistJetPsi2Pt[i] = 0; fHistJetPsi3Pt[i] = 0; } // 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: fDebug = -1; // suppress debug info explicitely when not running locally } switch (fCollisionType) { case kPythia : { fFitModulationType = kNoFit; } break; default : break; } if(fLocalRhoName=="") fLocalRhoName = Form("LocalRhoFrom_%s", GetName()); } //_____________________________________________________________________________ AliAnalysisTaskRhoVnModulation::~AliAnalysisTaskRhoVnModulation() { // destructor if(fOutputList) delete fOutputList; if(fOutputListGood) delete fOutputListGood; if(fOutputListBad) delete fOutputListBad; if(fFitModulation) delete fFitModulation; if(fHistSwap) delete fHistSwap; if(fCentralityClasses) delete fCentralityClasses; if(fFitControl) delete fFitControl; } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::ExecOnce() { // Init the analysis 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(fUseScaledRho) { // unscaled rho has been retrieved by the parent class, now we retrieve rho scaled fRho = dynamic_cast(InputEvent()->FindListObject(Form("%s_Scaled", fRho->GetName()))); if(!fRho) { AliFatal(Form("%s: Couldn't find container for scaled rho. Aborting !", GetName())); } } if(!GetJetContainer()) AliFatal(Form("%s: Couldn't find jet container. Aborting !", GetName())); } //_____________________________________________________________________________ Bool_t AliAnalysisTaskRhoVnModulation::InitializeAnalysis() { // initialize the anaysis if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); if(fRandomConeRadius <= 0) fRandomConeRadius = GetJetContainer()->GetJetRadius(); if(fMaxCones <= 0) fMaxCones = TMath::Nint(1.8*TMath::TwoPi()/(TMath::Pi()*fRandomConeRadius*fRandomConeRadius)); if(fLocalJetMinEta > -10 && fLocalJetMaxEta > -10) GetJetContainer()->SetJetEtaLimits(fLocalJetMinEta, fLocalJetMaxEta); if(fLocalJetMinPhi > -10 && fLocalJetMaxPhi > -10) GetJetContainer()->SetJetPhiLimits(fLocalJetMinPhi, fLocalJetMaxPhi); if(fMinDisanceRCtoLJ==0) fMinDisanceRCtoLJ = .5*GetJetRadius(); if(dynamic_cast(InputEvent())) fDataType = kAOD; // determine the datatype else if(dynamic_cast(InputEvent())) fDataType = kESD; fHistAnalysisSummary->SetBinContent(36, (int)fDataType); if(!fRandom) fRandom = new TRandom3(0); // get a randomized if one hasn't been user-supplied 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* AliAnalysisTaskRhoVnModulation::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 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); if(fReduceBinsXByFactor > 0 ) bins = TMath::Nint(bins/fReduceBinsXByFactor); if(!fOutputList) return 0x0; TString title(name); if(c!=-1) { // format centrality dependent histograms accordingly name = Form("%s_%i", name, c); title += Form("_%i-%i", fCentralityClasses->At(c), 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* AliAnalysisTaskRhoVnModulation::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 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); if(fReduceBinsXByFactor > 0 ) binsx = TMath::Nint(binsx/fReduceBinsXByFactor); if(fReduceBinsYByFactor > 0 ) binsy = TMath::Nint(binsy/fReduceBinsYByFactor); if(!fOutputList) return 0x0; TString title(name); if(c!=-1) { // format centrality dependent histograms accordingly name = Form("%s_%i", name, c); title += Form("_%i-%i", fCentralityClasses->At(c), 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; } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::UserCreateOutputObjects() { // create output objects if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); fOutputList = new TList(); fOutputList->SetOwner(kTRUE); if(!fCentralityClasses) { // classes must be defined at this point Int_t c[] = {0, 20, 40, 60, 80, 100}; fCentralityClasses = new TArrayI(sizeof(c)/sizeof(c[0]), c); } // global QA fHistCentrality = BookTH1F("fHistCentrality", "centrality", 102, -2, 100); fHistVertexz = BookTH1F("fHistVertexz", "vertex z (cm)", 100, -12, 12); // pico track kinematics for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) { fHistPicoTrackPt[i] = BookTH1F("fHistPicoTrackPt", "p_{t} [GeV/c]", 100, 0, 50, 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); } // emcal kinematics /* fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i); */ /* fHistClusterPhi[i] = BookTH1F("fHistClusterPhi", "#phi", 100, 0, TMath::TwoPi(), i); */ /* fHistClusterEta[i] = BookTH1F("fHistClusterEta", "#eta", 100, -5, 5); */ // emcal kinematics after hadronic correction /* fHistClusterCorrPt[i] = BookTH1F("fHistClusterCorrPt", "p_{t} [GeV/c]", 100, 0, 100, i); */ /* fHistClusterCorrPhi[i] = BookTH1F("fHistClusterCorrPhi", "#phi", 100, 0, TMath::TwoPi(), i); */ /* fHistClusterCorrEta[i] = BookTH1F("fHistClusterCorrEta", "#eta", 100, -5, 5, i); */ } 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()); fHistPsiTPCiV0M = 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; 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, 0, TMath::TwoPi(), 40, -1, 1, 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, 0, TMath::TwoPi(), 40, -1, 1, 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); fHistDeltaPtDeltaPhi3[i] = BookTH2F("fHistDeltaPtDeltaPhi3", Form("#phi - #Psi_{3, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::TwoPi()/3., 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); /* fHistRCPhiEtaRand[i] = BookTH2F("fHistRCPhiEtaRand", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, 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); fHistDeltaPtDeltaPhi3ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi3ExLJ", Form("#phi - #Psi_{3, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::TwoPi()/3., 400, -70, 130, i); /* fHistRhoVsRCPtRand[i] = BookTH2F("fHistRhoVsRCPtRand", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i); */ /* fHistRCPtRand[i] = BookTH1F("fHistRCPtRand", "p_{t} (RC) [GeV/c]", 130, -20, 150, i); */ /* fHistDeltaPtDeltaPhi2Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi2Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::Pi(), 100, -50, 100, i); */ /* fHistDeltaPtDeltaPhi3Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi3Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::TwoPi()/3., 100, -50, 100, i); */ // jet histograms (after kinematic cuts) fHistJetPtRaw[i] = BookTH1F("fHistJetPtRaw", "p_{t} RAW [GeV/c]", 200, -50, 150, i); fHistJetPt[i] = BookTH1F("fHistJetPt", "p_{t} [GeV/c]", 350, -100, 250, i); if(fFillQAHistograms) fHistJetEtaPhi[i] = BookTH2F("fHistJetEtaPhi", "#eta", "#phi", 100, -1, 1, 100, 0, TMath::TwoPi(), i); fHistJetPtArea[i] = BookTH2F("fHistJetPtArea", "p_{t} [GeV/c]", "Area", 175, -100, 250, 30, 0, 0.9, i); fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t} [GeV/c]", "Area", 350, -100, 250, 60, 0, 150, i); fHistJetEtaRho[i] = BookTH2F("fHistJetEtaRho", "#eta", "#rho", 100, -1, 1, 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} [GeV/c]", 40, 0., TMath::Pi(), 350, -100, 250, i); fHistJetPsi3Pt[i] = BookTH2F("fHistJetPsi3Pt", Form("#phi_{jet} - #Psi_{3, %s}", detector.Data()), "p_{t} [GeV/c]", 40, 0., TMath::TwoPi()/3., 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, ""); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(4, ""); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(5, ""); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(6, ""); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(7, ""); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(8, ""); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(9, ""); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(10, ""); fProfV2Resolution[i]->GetXaxis()->SetBinLabel(11, ""); 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, ""); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(4, ""); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(5, ""); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(6, ""); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(7, ""); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(8, ""); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(9, ""); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(10, ""); fProfV3Resolution[i]->GetXaxis()->SetBinLabel(11, ""); fOutputList->Add(fProfV3Resolution[i]); } // cdf and pdf of chisquare distribution fHistPvaluePDF = BookTH1F("fHistPvaluePDF", "PDF #chi^{2}", 500, 0, 1); fHistPvalueCDF = BookTH1F("fHistPvalueCDF", "CDF #chi^{2}", 500, 0, 1); fHistRhoStatusCent = BookTH2F("fHistRhoStatusCent", "centrality", "status [-1=lin was better, 0=ok, 1 = failed]", 101, -1, 100, 3, -1.5, 1.5); // 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", 100, -.5, 99.5, 100, -1.1, 1.1); fHistRunnumbersEta->Sumw2(); fOutputList->Add(fHistRunnumbersEta); fHistRunnumbersPhi = new TH2F("fHistRunnumbersPhi", "fHistRunnumbersPhi", 100, -.5, 99.5, 100, -0.2, TMath::TwoPi()+0.2); fHistRunnumbersPhi->Sumw2(); fOutputList->Add(fHistRunnumbersPhi); } fHistAnalysisSummary = BookTH1F("fHistAnalysisSummary", "flag", 52, -0.5, 52.5); 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); // increase readability of output list fOutputList->Sort(); 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"); fJetsCont = GetJetContainer("Jets"); } //_____________________________________________________________________________ Bool_t AliAnalysisTaskRhoVnModulation::Run() { // user exec: execute once for each event if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); if(!fTracks||!fJets||!fRho) return kFALSE; if(!fLocalInit) fLocalInit = InitializeAnalysis(); // reject the event if expected data is missing if(!PassesCuts(InputEvent())) return kFALSE; if(!fCaloClusters && fDebug > 0) printf(" > Warning: couldn't retreive calo clusters! < \n"); // set the rho value fLocalRho->SetVal(fRho->GetVal()); // [0][0] psi2a [1,0] psi2c // [0][1] psi3a [1,1] psi3c Double_t vzero[2][2]; CalculateEventPlaneVZERO(vzero); /* for the combined vzero event plane * [0] psi2 [1] psi3 * not fully implmemented yet, use with caution ! */ Double_t vzeroComb[2]; CalculateEventPlaneCombinedVZERO(vzeroComb); // [0] psi2 [1] psi3 Double_t tpc[2]; CalculateEventPlaneTPC(tpc); 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; default : break; } 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); // fill a number of histograms if(fFillHistograms) FillHistogramsAfterSubtraction(psi2, psi3, vzero, vzeroComb, tpc); if(fFillQAHistograms) FillQAHistograms(InputEvent()); // 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 AliAnalysisTaskRhoVnModulation::CalculateEventPlaneVZERO(Double_t vzero[2][2]) const { // get the vzero event plane if(fUseV0EventPlaneFromHeader) { // use the vzero from the header 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; } // grab the vzero event plane without recentering if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); Double_t qxa2(0), qya2(0), qxc2(0), qyc2(0); // for psi2 Double_t qxa3(0), qya3(0), qxc3(0), qyc3(0); // for psi3 for(Int_t iVZERO(0); iVZERO < 64; iVZERO++) { Double_t phi(TMath::PiOver4()*(.5+iVZERO%8)), /* eta(0), */ weight(InputEvent()->GetVZEROEqMultiplicity(iVZERO)); // (iVZERO<32) ? eta = -3.45+.5*(iVZERO/8) : eta = 4.8-.6*((iVZERO/8)-4); if(iVZERO<32) { qxa2 += weight*TMath::Cos(2.*phi); qya2 += weight*TMath::Sin(2.*phi); qxa3 += weight*TMath::Cos(3.*phi); qya3 += weight*TMath::Sin(3.*phi); } else { qxc2 += weight*TMath::Cos(2.*phi); qyc2 += weight*TMath::Sin(2.*phi); qxc3 += weight*TMath::Cos(3.*phi); qyc3 += weight*TMath::Sin(3.*phi); } } vzero[0][0] = .5*TMath::ATan2(qya2, qxa2); vzero[1][0] = .5*TMath::ATan2(qyc2, qxc2); vzero[0][1] = (1./3.)*TMath::ATan2(qya3, qxa3); vzero[1][1] = (1./3.)*TMath::ATan2(qyc3, qxc3); } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneTPC(Double_t* tpc) { // grab the TPC event plane if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); fNAcceptedTracks = 0; // reset the track counter Double_t qx2(0), qy2(0); // for psi2 Double_t qx3(0), qy3(0); // for psi3 if(fTracks) { Float_t excludeInEta = -999; if(fExcludeLeadingJetsFromFit > 0 ) { // remove the leading jet from ep estimate AliEmcalJet* leadingJet(GetJetContainer()->GetLeadingJet()); if(leadingJet) excludeInEta = leadingJet->Eta(); } Int_t iTracks(fTracks->GetEntriesFast()); for(Int_t iTPC(0); iTPC < iTracks; iTPC++) { AliVTrack* track = static_cast(fTracks->At(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 AliAnalysisTaskRhoVnModulation::CalculateEventPlaneCombinedVZERO(Double_t* comb) const { // grab the combined vzero event plane // if(fUseV0EventPlaneFromHeader) { // use the vzero from the 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); // } else { // Double_t qx2a(0), qy2a(0), qx2c(0), qy2c(0), qx3a(0), qy3a(0), qx3c(0), qy3c(0); // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, qx2a, qy2a); // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, qx2c, qy2c); // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, qx3a, qy3a); // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, qx3c, qy3c); // FIXME the rest of this function isn't impelmented yet (as of 01-07-2013) // Double_t chi2A(-1), chi2C(-1), chi3A(-1), chi3C(-1); // get chi from the resolution // Double_t qx2(chi2A*chi2A*qx2a+chi2C*chi2C*qx2c); // Double_t qy2(chi2A*chi2A*qy2a+chi2C*chi2C*qy2c); // Double_t qx3(chi3A*chi3A*qx3a+chi3C*chi3C*qx3c); // Double_t qy3(chi3A*chi3A*qy3a+chi3C*chi3C*qy3c); // comb[0] = .5*TMath::ATan2(qy2, qx2); // comb[1] = (1./3.)*TMath::ATan2(qy3, qx3); // } } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneResolution(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) { // fill the profiles for the resolution parameters if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); 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(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))); } //_____________________________________________________________________________ Double_t AliAnalysisTaskRhoVnModulation::CalculateEventPlaneChi(Double_t resEP) const { // Get Chi from EP resolution (PRC 58 1671) Double_t chi(2.), delta (1.); for (Int_t i(0); i < 15; i++) { chi = ((TMath::Sqrt(TMath::Pi()/2.)/2.)*chi*exp(-chi*chi/4.)*(TMath::BesselI0(chi*chi/4.)+TMath::BesselI1(chi* chi/4.)) < resEP) ? chi+delta : chi-delta; delta/=2.; } return chi; } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::CalculateRandomCone(Float_t &pt, Float_t &eta, Float_t &phi, AliEmcalJet* jet) const { // get a random cone if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); 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 etaJet = jet->Eta(); phiJet = jet->Phi(); } // force the random cones to at least be within detector acceptance Float_t minPhi(GetJetContainer()->GetJetPhiMin()), maxPhi(GetJetContainer()->GetJetPhiMax()); if(maxPhi > TMath::TwoPi()) maxPhi = TMath::TwoPi(); if(minPhi < 0 ) minPhi = 0; Float_t diffRcRJR(TMath::Abs(fRandomConeRadius-GetJetContainer()->GetJetRadius())); // 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()+diffRcRJR, GetJetContainer()->GetJetEtaMax()-diffRcRJR); 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; } } if(fTracksCont) { AliVParticle* track = fTracksCont->GetNextAcceptParticle(0); while(track) { Float_t etaTrack(track->Eta()), phiTrack(track->Phi()), ptTrack(track->Pt()); // 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))) <= fRandomConeRadius) pt+=ptTrack; track = fTracksCont->GetNextAcceptParticle(); } } } //_____________________________________________________________________________ Double_t AliAnalysisTaskRhoVnModulation::CalculateQC2(Int_t harm) { // get the second order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); 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 AliAnalysisTaskRhoVnModulation::CalculateQC4(Int_t harm) { // get the fourth order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); 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 AliAnalysisTaskRhoVnModulation::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 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); if(!fTracks) return; fNAcceptedTracksQCn = 0; Int_t iTracks(fTracks->GetEntriesFast()); for(Int_t iTPC(0); iTPC < iTracks; iTPC++) { AliVTrack* track = static_cast(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 AliAnalysisTaskRhoVnModulation::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 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(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(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 AliAnalysisTaskRhoVnModulation::QCnS(Int_t i, Int_t j) { // get the weighted ij-th order autocorrelation correction if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); 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(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 AliAnalysisTaskRhoVnModulation::QCnM() { // get multiplicity for unweighted q-cumulants. function QCnQnk should be called first if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); return (Double_t) fNAcceptedTracksQCn; } //_____________________________________________________________________________ Double_t AliAnalysisTaskRhoVnModulation::QCnM11() { // get multiplicity weights for the weighted two particle cumulant if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); return (QCnS(2,1) - QCnS(1,2)); } //_____________________________________________________________________________ Double_t AliAnalysisTaskRhoVnModulation::QCnM1111() { // get multiplicity weights for the weighted four particle cumulant if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); 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 AliAnalysisTaskRhoVnModulation::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 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); 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 AliAnalysisTaskRhoVnModulation::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 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); 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(fAbsVnHarmonics && 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(fAbsVnHarmonics && 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(fAbsVnHarmonics && 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; 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 ) { AliEmcalJet* leadingJet(GetJetContainer()->GetLeadingJet()); if(leadingJet) { excludeInEta = leadingJet->Eta(); excludeInPhi = leadingJet->Phi(); excludeInPt = leadingJet->Pt(); } } 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)), 0, TMath::TwoPi()); if(fUsePtWeightErrorPropagation) _tempSwapN = TH1F("_tempSwapN", "_tempSwapN", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), 0, TMath::TwoPi()); 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(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 < 1) return kFALSE; // not one track passes the cuts 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() ); } break; case kV2 : { fFitModulation->FixParameter(4, psi2); } break; case kV3 : { fFitModulation->FixParameter(4, psi3); } break; case kCombined : { fFitModulation->FixParameter(4, psi2); fFitModulation->FixParameter(6, psi3); } 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(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; } _tempSwap.Fit(fFitModulation, fFitModulationOptions.Data(), "", 0, TMath::TwoPi()); // the quality of the fit is evaluated from 1 - the cdf of the chi square distribution Double_t CDF(1.-ChiSquareCDF(fFitModulation->GetNDF(), fFitModulation->GetChisquare())); fHistPvalueCDF->Fill(CDF); if(fFitControl) { // as an additional quality check, see if fitting a control fit has a higher significance _tempSwap.Fit(fFitControl, fFitModulationOptions.Data(), "", 0, TMath::TwoPi()); Double_t CDFControl(1.-ChiSquareCDF(fFitControl->GetNDF(), fFitControl->GetChisquare())); 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 && ( fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) > 0)) { // fit quality 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* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data())); didacticProfile->GetListOfFunctions()->Add(didactifFit); 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(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* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_p_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data())); didacticProfile->GetListOfFunctions()->Add(didactifFit); 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 AliAnalysisTaskRhoVnModulation::PassesCuts(AliVEvent* event) { // event cuts if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); if(!event || !AliAnalysisTaskEmcal::IsEventSelected()) return kFALSE; if(fSemiCentralInclusive && ! (event->GetTriggerMask() & (ULong64_t(1)<<7))) return kFALSE; if(TMath::Abs(InputEvent()->GetPrimaryVertex()->GetZ()) > 10.) return kFALSE; // aod and esd specific checks switch (fDataType) { case kESD: { AliESDEvent* esdEvent = static_cast(InputEvent()); if( (!esdEvent) || (TMath::Abs(esdEvent->GetPrimaryVertexSPD()->GetZ() - esdEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE; } break; case kAOD: { AliAODEvent* aodEvent = static_cast(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 if(fExplicitOutlierCut == 2010 || fExplicitOutlierCut == 2011) { if(!PassesCuts(fExplicitOutlierCut)) return kFALSE; } if(fRho->GetVal() <= 0 ) return kFALSE; if(fTracks->GetEntries() < 1) return kFALSE; return kTRUE; } //_____________________________________________________________________________ Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(Int_t year) { // additional centrality cut based on relation between tpc and global multiplicity if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); AliAODEvent* event(dynamic_cast(InputEvent())); if(!event) return kFALSE; Int_t multTPC(0), multGlob(0), nTracks(InputEvent()->GetNumberOfTracks()); for(Int_t iTracks = 0; iTracks < nTracks; iTracks++) { AliAODTrack* track = event->GetTrack(iTracks); if(!track) continue; if (!track || track->Pt() < .2 || track->Pt() > 5.0 || TMath::Abs(track->Eta()) > .8 || track->GetTPCNcls() < 70 || !track->GetDetPid() || track->GetDetPid()->GetTPCsignal() < 10.0) continue; // general quality cut if (track->TestFilterBit(1) && track->Chi2perNDF() > 0.2) multTPC++; if (!track->TestFilterBit(16) || track->Chi2perNDF() < 0.1) continue; Double_t b[2] = {-99., -99.}; Double_t bCov[3] = {-99., -99., -99.}; if (track->PropagateToDCA(event->GetPrimaryVertex(), event->GetMagneticField(), 100., b, bCov) && TMath::Abs(b[0]) < 0.3 && TMath::Abs(b[1]) < 0.3) multGlob++; } if(year == 2010 && multTPC > (-40.3+1.22*multGlob) && multTPC < (32.1+1.59*multGlob)) return kTRUE; if(year == 2011 && multTPC > (-36.73 + 1.48*multGlob) && multTPC < (62.87 + 1.78*multGlob)) return kTRUE; return kFALSE; } //_____________________________________________________________________________ Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(const AliVCluster* cluster) const { // cluster cuts if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); if(!cluster) return kFALSE; return kTRUE; } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillHistogramsAfterSubtraction(Double_t psi2, Double_t psi3, Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) { // fill histograms if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); FillTrackHistograms(); /* FillClusterHistograms(); */ FillJetHistograms(psi2, psi3); /* FillCorrectedClusterHistograms(); */ if(fFillQAHistograms) FillEventPlaneHistograms(vzero, vzeroComb, tpc); FillRhoHistograms(); FillDeltaPtHistograms(psi2, psi3); } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillTrackHistograms() const { // fill track histograms if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); Int_t iTracks(fTracks->GetEntriesFast()), iAcceptedTracks(0); for(Int_t i(0); i < iTracks; i++) { AliVTrack* track = static_cast(fTracks->At(i)); if(!PassesCuts(track)) continue; iAcceptedTracks++; fHistPicoTrackPt[fInCentralitySelection]->Fill(track->Pt()); if(fFillQAHistograms) FillQAHistograms(track); } fHistPicoTrackMult[fInCentralitySelection]->Fill(iAcceptedTracks); } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillClusterHistograms() const { // fill cluster histograms if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); /* Int_t iClusters(fCaloClusters->GetEntriesFast()); for(Int_t i(0); i < iClusters; i++) { AliVCluster* cluster = static_cast(fCaloClusters->At(iClusters)); if (!PassesCuts(cluster)) continue; TLorentzVector clusterLorentzVector; cluster->GetMomentum(clusterLorentzVector, const_cast(fVertex)); fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt()); fHistClusterEta[fInCentralitySelection]->Fill(clusterLorentzVector.Eta()); fHistClusterPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Phi()); } return; */ } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillCorrectedClusterHistograms() const { // fill clusters after hadronic correction FIXME implement if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const { // fill event plane histograms if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); fHistPsiControl->Fill(0.5, vzero[0][0]); // vzero a psi2 fHistPsiControl->Fill(1.5, vzero[1][0]); // vzero c psi2 fHistPsiControl->Fill(2.5, tpc[0]); // tpc psi 2 fHistPsiControl->Fill(5.5, vzero[0][1]); // vzero a psi3 fHistPsiControl->Fill(6.5, vzero[1][1]); // vzero b psi3 fHistPsiControl->Fill(7.5, tpc[1]); // tpc psi 3 fHistPsiVZEROA->Fill(vzero[0][0]); fHistPsiVZEROC->Fill(vzero[1][0]); fHistPsiVZERO->Fill(vzeroComb[0]); fHistPsiTPC->Fill(tpc[0]); fHistPsiSpread->Fill(0.5, TMath::Abs(vzero[0][0]-vzero[1][0])); fHistPsiSpread->Fill(1.5, TMath::Abs(vzero[0][0]-tpc[0])); fHistPsiSpread->Fill(2.5, TMath::Abs(vzero[1][0]-tpc[0])); // 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]); fHistPsiVZEROCV0M->Fill(V0M, vzero[1][0]); fHistPsiVZEROVV0M->Fill(V0M, vzeroComb[0]); fHistPsiTPCiV0M->Fill(V0M, tpc[0]); fHistPsiVZEROATRK->Fill(TRK, vzero[0][0]); fHistPsiVZEROCTRK->Fill(TRK, vzero[1][0]); fHistPsiVZEROTRK->Fill(TRK, vzeroComb[0]); fHistPsiTPCTRK->Fill(TRK, tpc[0]); } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillRhoHistograms() { // fill rho histograms if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); fHistRhoPackage[fInCentralitySelection]->Fill(fLocalRho->GetVal()); // 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); fHistRhoVsMult->Fill(fTracks->GetEntries(), rho); fHistRhoVsCent->Fill(fCent, rho); for(Int_t i(0); i < iJets; i++) { AliEmcalJet* jet = static_cast(fJets->At(i)); if(!PassesCuts(jet)) continue; fHistRhoAVsMult->Fill(fTracks->GetEntries(), rho * jet->Area()); fHistRhoAVsCent->Fill(fCent, rho * jet->Area()); } } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillDeltaPtHistograms(Double_t psi2, Double_t psi3) const { // fill delta pt histograms if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); Int_t i(0); AliEmcalJet* leadingJet(GetJetContainer()->GetLeadingJet()); if(!leadingJet && fDebug > 0) printf(" > failed to retrieve leading jet ! < \n"); const Float_t areaRC = fRandomConeRadius*fRandomConeRadius*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, 0x0); if(pt > 0) { if(fFillQAHistograms) fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta); fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC); fHistRCPt[fInCentralitySelection]->Fill(pt); fHistDeltaPtDeltaPhi2[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())); fHistDeltaPtDeltaPhi3[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())); } // get a random cone excluding leading jet area CalculateRandomCone(pt, eta, phi, leadingJet); if(pt > 0) { if(fFillQAHistograms) fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta); fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC); fHistRCPtExLJ[fInCentralitySelection]->Fill(pt); fHistDeltaPtDeltaPhi2ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())); fHistDeltaPtDeltaPhi3ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())); } } } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillJetHistograms(Double_t psi2, Double_t psi3) { // fill jet histograms if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); Int_t iJets(fJets->GetEntriesFast()); for(Int_t i(0); i < iJets; i++) { AliEmcalJet* jet = static_cast(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); fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho); if(fFillQAHistograms) fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi); fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area); fHistJetPsi2Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*rho); fHistJetPsi3Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt-area*rho); fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->Nch()); fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area); if(fSubtractJetPt) jet->SetPtSub(pt-area*rho); // if requested, save the subtracted jet pt } else if(fSubtractJetPt) jet->SetPtSub(-999.); } } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillQAHistograms(AliVTrack* vtrack) const { // fill qa histograms for pico tracks if(!vtrack) return; AliPicoTrack* track = static_cast(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 AliAnalysisTaskRhoVnModulation::FillQAHistograms(AliVEvent* vevent) { // fill qa histograms for events if(!vevent) return; fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ()); fHistCentrality->Fill(fCent); Int_t runNumber(InputEvent()->GetRunNumber()); Int_t runs[] = {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, 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}; for(fMappedRunNumber = 0; fMappedRunNumber < 64; fMappedRunNumber++) { if(runs[fMappedRunNumber]==runNumber) break; } } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::FillAnalysisSummaryHistogram() const { // fill the analysis summary histrogram, saves all relevant analysis settigns if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); 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(33, "fRandomConeRadius"); fHistAnalysisSummary->SetBinContent(33, fRandomConeRadius); 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(43, "fMinLeadingHadronPt"); fHistAnalysisSummary->SetBinContent(43, fMinLeadingHadronPt); fHistAnalysisSummary->GetXaxis()->SetBinLabel(44, "fExplicitOutlierCut"); fHistAnalysisSummary->SetBinContent(44, fExplicitOutlierCut); fHistAnalysisSummary->GetXaxis()->SetBinLabel(45, "fLocalJetMinEta"); fHistAnalysisSummary->SetBinContent(45,fLocalJetMinEta ); fHistAnalysisSummary->GetXaxis()->SetBinLabel(46, "fLocalJetMaxEta"); fHistAnalysisSummary->SetBinContent(46, fLocalJetMaxEta); fHistAnalysisSummary->GetXaxis()->SetBinLabel(47, "fLocalJetMinPhi"); fHistAnalysisSummary->SetBinContent(47, fLocalJetMinPhi); fHistAnalysisSummary->GetXaxis()->SetBinLabel(48, "fLocalJetMaxPhi"); fHistAnalysisSummary->SetBinContent(48, fLocalJetMaxPhi); fHistAnalysisSummary->GetXaxis()->SetBinLabel(49, "fSoftTrackMinPt"); fHistAnalysisSummary->SetBinContent(49, fSoftTrackMinPt); fHistAnalysisSummary->GetXaxis()->SetBinLabel(50, "fSoftTrackMaxPt"); fHistAnalysisSummary->SetBinContent(50, fSoftTrackMaxPt); fHistAnalysisSummary->GetXaxis()->SetBinLabel(51, "fMaxCones"); fHistAnalysisSummary->SetBinContent(51, fMaxCones); fHistAnalysisSummary->GetXaxis()->SetBinLabel(52, "fUseScaledRho"); fHistAnalysisSummary->SetBinContent(52, fUseScaledRho); } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::Terminate(Option_t *) { // terminate switch (fRunModeType) { case kLocal : { printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__); if(fFillQAHistograms) { Int_t runs[] = {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, 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}; for(Int_t i(0); i < 64; i++) { fHistRunnumbersPhi->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i])); fHistRunnumbersEta->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i])); } fHistRunnumbersPhi->GetXaxis()->SetBinLabel(65, "undetermined"); fHistRunnumbersEta->GetXaxis()->SetBinLabel(65, "undetermined"); } AliAnalysisTaskRhoVnModulation::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 AliAnalysisTaskRhoVnModulation::SetModulationFit(TF1* fit) { // set modulation fit if (fFitModulation) delete fFitModulation; fFitModulation = fit; } //_____________________________________________________________________________ void AliAnalysisTaskRhoVnModulation::SetUseControlFit(Bool_t c) { // set control fit if (fFitControl) delete fFitControl; if (c) { fFitControl = new TF1("controlFit", "pol0", 0, TMath::TwoPi()); } else fFitControl = 0x0; } //_____________________________________________________________________________ TH1F* AliAnalysisTaskRhoVnModulation::GetResolutionFromOuptutFile(detectorType det, Int_t h, TArrayD* cen) { // INTERFACE METHOD FOR OUTPUTFILE // get the detector resolution, user has ownership of the returned histogram 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* AliAnalysisTaskRhoVnModulation::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 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* AliAnalysisTaskRhoVnModulation::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 TH1F* r(GetResolutionFromOuptutFile(det, h, cen)); v->Divide(v, r); return v; } //_____________________________________________________________________________ TH1F* AliAnalysisTaskRhoVnModulation::GetDifferentialQC(TProfile* refCumulants, TProfile* diffCumlants, TArrayD* ptBins, Int_t h) { // get differential QC 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; } //_____________________________________________________________________________