#include <AliRhoParameter.h>
#include <AliLocalRhoParameter.h>
#include <AliAnalysisTaskRhoVnModulation.h>
+#include <AliClusterContainer.h>
class AliAnalysisTaskRhoVnModulation;
using namespace std;
ClassImp(AliAnalysisTaskRhoVnModulation)
AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation() : AliAnalysisTaskEmcalJet("AliAnalysisTaskRhoVnModulation", kTRUE),
- fDebug(0), fRunToyMC(kFALSE), 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), fLeadingJet(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kTPC), 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), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fNameSmallRho(""), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(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), 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) {
+ fDebug(0), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fSemiCentralInclusive(kFALSE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kTPC), 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), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fNameSmallRho(""), fCachedRho(0), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(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), 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;
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; */
+ fHistClusterPt[i] = 0;
+ fHistClusterEtaPhi[i] = 0;
+ fHistClusterEtaPhiWeighted[i] = 0;
fHistRhoPackage[i] = 0;
fHistRho[i] = 0;
fHistRCPhiEta[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;
+ fHistJetPtEta[i] = 0;
fHistJetPtConstituents[i] = 0;
fHistJetEtaRho[i] = 0;
fHistJetPsi2Pt[i] = 0;
}
//_____________________________________________________________________________
AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation(const char* name, runModeType type) : AliAnalysisTaskEmcalJet(name, kTRUE),
- fDebug(0), fRunToyMC(kFALSE), 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), fLeadingJet(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kTPC), 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), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fNameSmallRho(""), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(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), 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) {
+ fDebug(0), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fSemiCentralInclusive(kFALSE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kTPC), 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), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fNameSmallRho(""), fCachedRho(0), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(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), 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;
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; */
+ fHistClusterPt[i] = 0;
+ fHistClusterEtaPhi[i] = 0;
+ fHistClusterEtaPhiWeighted[i] = 0;
fHistRhoPackage[i] = 0;
fHistRho[i] = 0;
fHistRCPhiEta[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;
+ fHistJetPtEta[i] = 0;
fHistJetPtConstituents[i] = 0;
fHistJetEtaRho[i] = 0;
fHistJetPsi2Pt[i] = 0;
if(fFitModulation) delete fFitModulation;
if(fHistSwap) delete fHistSwap;
if(fCentralityClasses) delete fCentralityClasses;
+ if(fExpectedRuns) delete fExpectedRuns;
+ if(fExpectedSemiGoodRuns) delete fExpectedSemiGoodRuns;
if(fFitControl) delete fFitControl;
}
//_____________________________________________________________________________
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);
+ }
+ 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);
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); */
+ fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i);
+ fHistClusterEtaPhi[i] = BookTH2F("fHistClusterEtaPhi", "#eta", "#phi", 100, -1., 1., 100, 0, TMath::TwoPi(), i);
+ fHistClusterEtaPhiWeighted[i] = BookTH2F("fHistClusterEtaPhiWeighted", "#eta", "#phi", 100, -1., 1., 100, 0, TMath::TwoPi(), i);
- // 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) {
fHistJetPt[i] = BookTH1F("fHistJetPt", "p_{t, jet} [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, 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, -0.9, 0.9, i);
fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t, jet} [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
fReduceBinsXByFactor = 1;
fReduceBinsYByFactor = 1;
if(fFillQAHistograms) {
- fHistRunnumbersEta = new TH2F("fHistRunnumbersEta", "fHistRunnumbersEta", 100, -.5, 99.5, 100, -1.1, 1.1);
+ 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", 100, -.5, 99.5, 100, -0.2, TMath::TwoPi()+0.2);
+ 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", 52, -0.5, 52.5);
+ fHistAnalysisSummary = BookTH1F("fHistAnalysisSummary", "flag", 54, -0.5, 54.5);
fHistSwap = new TH1F("fHistSwap", "fHistSwap", 20, 0, TMath::TwoPi());
if(fUsePtWeight) fHistSwap->Sumw2();
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);
// get the containers
fTracksCont = GetParticleContainer("Tracks");
+ fClusterCont = GetClusterContainer(0); // get the default cluster container
fJetsCont = GetJetContainer("Jets");
}
//_____________________________________________________________________________
}
// 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);
+ // fill a number of histograms. event qa needs to be filled first as it also determines the runnumber for the track qa
if(fFillQAHistograms) FillQAHistograms(InputEvent());
+ if(fFillHistograms) FillHistogramsAfterSubtraction(psi2, psi3, vzero, vzeroComb, tpc);
// send the output to the connected output container
PostData(1, fOutputList);
switch (fRunModeType) {
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
v3->FixParameter(2, 2.); // constant
v3->FixParameter(4, didacticFit->GetParameter(6)); // psi3
v3->FixParameter(5, 3.); // constant
- v3->SetLineColor(kYellow);
+ 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);
{
// event cuts
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ // determine the run number to see if the track and jet cuts should be refreshed for semi-good TPC runs
+ // only done if the runnumber changes, could be moved to a call to AliAnalysisTaskSE::Notify()
+ if(fRunNumber != InputEvent()->GetRunNumber()) {
+ fRunNumber = InputEvent()->GetRunNumber(); // set the current run number
+ if(fDebug > 0) printf("__FUNC__ %s > NEW RUNNUMBER DETECTED \n ", __func__);
+ // 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
+ AliAnalysisTaskEmcal::SetTrackPhiLimits(-10., 10.);
+ AliAnalysisTaskEmcalJet::SetJetPhiLimits(-10., 10.);
+ if(fCachedRho) { // if there's a cached rho, it's the default, so switch back
+ if(fDebug > 0) printf("__FUNC__ %s > replacing rho with cached rho \n ", __func__);
+ 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
+ if(fDebug > 0) printf("__FUNC__ %s > semi-good tpc run detected, adjusting acceptance \n ", __func__);
+ flaggedAsSemiGood = kTRUE;
+ AliAnalysisTaskEmcalJet::SetJetPhiLimits(fSemiGoodJetMinPhi, fSemiGoodJetMaxPhi); // just an acceptance cut, jets are obtained from full azimuth, so no edge effects
+ 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) {
+ if(fDebug > 0) printf("__FUNC__ %s > switching to small rho, caching normal rho \n ", __func__);
+ 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
+ }
+ }
+ // continue with event selection
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;
if(fExplicitOutlierCut == 2010 || fExplicitOutlierCut == 2011) {
if(!PassesCuts(fExplicitOutlierCut)) return kFALSE;
}
- if(fRho->GetVal() <= 0 ) return kFALSE;
+ // see if input containers are filled
if(fTracks->GetEntries() < 1) return kFALSE;
- if(fRunNumber != InputEvent()->GetRunNumber()) {
- fRunNumber = InputEvent()->GetRunNumber(); // set the current run number
- if(fDebug > 0 ) printf("> NEW RUNNNUMBER DETECTED: %i <\n", fRunNumber);
- // determine the run number to see if the track and jet cuts should be refreshed for semi-good TPC runs
- Int_t semiGoodTPCruns[] = {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 < (int)(sizeof(semiGoodTPCruns)/sizeof(semiGoodTPCruns[0])); i++) {
- if(semiGoodTPCruns[i] == fRunNumber) { // run is semi-good
- if(fDebug > 0) printf(" > SEMI-GOOD TPC DETECTED, adjusting acceptance accordingly ... <\n");
- AliAnalysisTaskEmcalJet::SetJetPhiLimits(fSemiGoodJetMinPhi, fSemiGoodJetMaxPhi);
- AliAnalysisTaskEmcal::SetTrackPhiLimits(fSemiGoodTrackMinPhi, fSemiGoodTrackMaxPhi);
- // 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) {
- if(fDebug > 0) printf(" > found small rho, will use this as estimate < \n");
- fRho = tempRho;
- }
- }
- }
- }
+ if(fRho->GetVal() <= 0 ) return kFALSE;
+ if(fAnalysisType == AliAnalysisTaskRhoVnModulation::kCharged && !fClusterCont) return kFALSE;
return kTRUE;
}
//_____________________________________________________________________________
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++;
+ AliAODTrack copy(*track);
+ if (copy.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(); */
+ FillClusterHistograms();
FillJetHistograms(psi2, psi3);
- /* FillCorrectedClusterHistograms(); */
if(fFillQAHistograms) FillEventPlaneHistograms(vzero, vzeroComb, tpc);
FillRhoHistograms();
FillDeltaPtHistograms(psi2, psi3);
{
// fill cluster histograms
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- Int_t iClusters(fCaloClusters->GetEntriesFast());
+ if(!fClusterCont) return;
+ Int_t iClusters(fClusterCont->GetNClusters());
for(Int_t i(0); i < iClusters; i++) {
- AliVCluster* cluster = static_cast<AliVCluster*>(fCaloClusters->At(iClusters));
+ AliVCluster* cluster = fClusterCont->GetCluster(i);
if (!PassesCuts(cluster)) continue;
TLorentzVector clusterLorentzVector;
cluster->GetMomentum(clusterLorentzVector, const_cast<Double_t*>(fVertex));
- //fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt());
- //fHistClusterEta[fInCentralitySelection]->Fill(clusterLorentzVector.Eta());
- //fHistClusterPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Phi());
+ fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt());
+ fHistClusterEtaPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi());
+ fHistClusterEtaPhiWeighted[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), clusterLorentzVector.Pt());
}
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
fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho);
if(fFillQAHistograms) fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi);
fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area);
+ fHistJetPtEta[fInCentralitySelection]->Fill(pt-area*rho, eta);
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());
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;
+ for(fMappedRunNumber = 0; fExpectedRuns->GetSize()+1; fMappedRunNumber++) {
+ if(fExpectedRuns->At(fMappedRunNumber) == runNumber) break;
}
}
//_____________________________________________________________________________
fHistAnalysisSummary->SetBinContent(51, fMaxCones);
fHistAnalysisSummary->GetXaxis()->SetBinLabel(52, "fUseScaledRho");
fHistAnalysisSummary->SetBinContent(52, fUseScaledRho);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(53, "used rho");
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(54, "used small rho");
}
//_____________________________________________________________________________
void AliAnalysisTaskRhoVnModulation::Terminate(Option_t *)
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;
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff