#include <TF2.h>
#include <TH1F.h>
#include <TH2F.h>
+#include <TH3F.h>
#include <TProfile.h>
+#include <TFile.h>
// aliroot includes
#include <AliAnalysisTask.h>
#include <AliAnalysisManager.h>
#include <AliCentrality.h>
#include <AliVVertex.h>
#include <AliVTrack.h>
+#include <AliVVZERO.h>
#include <AliESDEvent.h>
#include <AliAODEvent.h>
#include <AliAODTrack.h>
+#include <AliOADBContainer.h>
+//#include <AliVEventHandler.h>
+#include <AliInputEventHandler.h>
// emcal jet framework includes
#include <AliPicoTrack.h>
#include <AliEmcalJet.h>
ClassImp(AliAnalysisTaskJetV2)
AliAnalysisTaskJetV2::AliAnalysisTaskJetV2() : AliAnalysisTaskEmcalJet("AliAnalysisTaskJetV2", kTRUE),
- fDebug(0), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(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), fNameSmallRho(""), fCachedRho(0), 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), fMaxCones(-1), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kTRUE), /*fExplicitOutlierCut(-1),*/ 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) {
+ fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fEventPlaneWeights(0), fAcceptanceWeights(kFALSE), fEventPlaneWeight(1.), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fLeadingJetAfterSub(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kVZEROComb), fAnalysisType(kCharged), fFitModulationOptions("QWLI"), fRunModeType(kGrid), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fRunNumber(-1), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameSmallRho(""), fCachedRho(0), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(0), fHistCentralityPercIn(0), fHistCentralityPercOut(0), fHistCentralityPercLost(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvalueCDFROOT(0), fHistPvalueCDFROOTCent(0), fHistChi2ROOTCent(0), fHistPChi2Root(0), fHistPvalueCDF(0), fHistPvalueCDFCent(0), fHistChi2Cent(0), fHistPChi2(0), fHistKolmogorovTest(0), fHistKolmogorovTestCent(0), fHistPKolmogorov(0), fHistRhoStatusCent(0), fHistUndeterminedRunQA(0), fMinDisanceRCtoLJ(0), fMaxCones(-1), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfV2(0), fProfV2Cumulant(0), fProfV3(0), fProfV3Cumulant(0), fHistPsiControl(0), fHistPsiSpread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiVZERO(0), fHistPsiTPC(0), fHistPsiVZEROAV0M(0), fHistPsiVZEROCV0M(0), fHistPsiVZEROVV0M(0), fHistPsiTPCV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0), fVZEROgainEqualization(0x0), fVZEROgainEqualizationPerRing(kFALSE), fChi2A(0x0), fChi2C(0x0), fChi3A(0x0), fChi3C(0x0), fOADB(0x0)
+{
for(Int_t i(0); i < 10; i++) {
fProfV2Resolution[i] = 0;
fProfV3Resolution[i] = 0;
fHistClusterPt[i] = 0;
fHistClusterEtaPhi[i] = 0;
fHistClusterEtaPhiWeighted[i] = 0;
+ fHistTriggerQAIn[i] = 0;
+ fHistTriggerQAOut[i] = 0;
+ fHistPsiTPCLeadingJet[i] = 0;
+ fHistPsiVZEROALeadingJet[i] = 0;
+ fHistPsiVZEROCLeadingJet[i] = 0;
+ fHistPsiVZEROCombLeadingJet[i] = 0;
+ fHistPsi2Correlation[i] = 0;
+ fHistLeadingJetBackground[i] = 0;
fHistRhoPackage[i] = 0;
fHistRho[i] = 0;
fHistRCPhiEta[i] = 0;
fHistJetPsi2Pt[i] = 0;
fHistJetPsi2PtRho0[i] = 0;
}
- // default constructor
+ for(Int_t i(0); i < 9; i++) {
+ for(Int_t j(0); j < 2; j++) {
+ for(Int_t k(0); k < 2; k++) {
+ fMeanQ[i][j][k] = 0.;
+ fWidthQ[i][j][k] = 0.;
+ fMeanQv3[i][j][k] = 0.;
+ fWidthQv3[i][j][k] = 0.;
+ }
+ }
+ }
+ for(Int_t i(0); i < 4; i++) {
+ fVZEROApol[i] = 0.;
+ fVZEROCpol[i] = 0.;
+ }
+ for(Int_t i(0); i < 8; i++) fUseVZERORing[i] = kTRUE;
+ // default constructor
}
//_____________________________________________________________________________
AliAnalysisTaskJetV2::AliAnalysisTaskJetV2(const char* name, runModeType type) : AliAnalysisTaskEmcalJet(name, kTRUE),
- fDebug(0), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(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), fNameSmallRho(""), fCachedRho(0), 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), fMaxCones(-1), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kTRUE), /*fExplicitOutlierCut(-1),*/ 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) {
+ fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fEventPlaneWeights(0), fAcceptanceWeights(kFALSE), fEventPlaneWeight(1.), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fLeadingJetAfterSub(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kVZEROComb), fAnalysisType(kCharged), fFitModulationOptions("QWLI"), fRunModeType(type), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fRunNumber(-1), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameSmallRho(""), fCachedRho(0), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(0), fHistCentralityPercIn(0), fHistCentralityPercOut(0), fHistCentralityPercLost(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvalueCDFROOT(0), fHistPvalueCDFROOTCent(0), fHistChi2ROOTCent(0), fHistPChi2Root(0), fHistPvalueCDF(0), fHistPvalueCDFCent(0), fHistChi2Cent(0), fHistPChi2(0), fHistKolmogorovTest(0), fHistKolmogorovTestCent(0), fHistPKolmogorov(0), fHistRhoStatusCent(0), fHistUndeterminedRunQA(0), fMinDisanceRCtoLJ(0), fMaxCones(-1), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfV2(0), fProfV2Cumulant(0), fProfV3(0), fProfV3Cumulant(0), fHistPsiControl(0), fHistPsiSpread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiVZERO(0), fHistPsiTPC(0), fHistPsiVZEROAV0M(0), fHistPsiVZEROCV0M(0), fHistPsiVZEROVV0M(0), fHistPsiTPCV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0), fVZEROgainEqualization(0x0), fVZEROgainEqualizationPerRing(kFALSE), fChi2A(0x0), fChi2C(0x0), fChi3A(0x0), fChi3C(0x0), fOADB(0x0)
+{
for(Int_t i(0); i < 10; i++) {
fProfV2Resolution[i] = 0;
fProfV3Resolution[i] = 0;
fHistClusterPt[i] = 0;
fHistClusterEtaPhi[i] = 0;
fHistClusterEtaPhiWeighted[i] = 0;
+ fHistTriggerQAIn[i] = 0;
+ fHistTriggerQAOut[i] = 0;
+ fHistPsiTPCLeadingJet[i] = 0;
+ fHistPsiVZEROALeadingJet[i] = 0;
+ fHistPsiVZEROCLeadingJet[i] = 0;
+ fHistPsiVZEROCombLeadingJet[i] = 0;
+ fHistPsi2Correlation[i] = 0;
+ fHistLeadingJetBackground[i] = 0;
fHistRhoPackage[i] = 0;
fHistRho[i] = 0;
fHistRCPhiEta[i] = 0;
fHistJetEtaRho[i] = 0;
fHistJetPsi2Pt[i] = 0;
fHistJetPsi2PtRho0[i] = 0;
- }
+ }
+ for(Int_t i(0); i < 9; i++) {
+ for(Int_t j(0); j < 2; j++) {
+ for(Int_t k(0); k < 2; k++) {
+ fMeanQ[i][j][k] = 0.;
+ fWidthQ[i][j][k] = 0.;
+ fMeanQv3[i][j][k] = 0.;
+ fWidthQv3[i][j][k] = 0.;
+ }
+ }
+ }
+ for(Int_t i(0); i < 4; i++) {
+ fVZEROApol[i] = 0.;
+ fVZEROCpol[i] = 0.;
+ }
+ for(Int_t i(0); i < 8; i++) fUseVZERORing[i] = kTRUE;
+
// constructor
DefineInput(0, TChain::Class());
DefineOutput(1, TList::Class());
DefineOutput(2, TList::Class());
DefineOutput(3, TList::Class());
} break;
- default: fDebug = -1; // suppress debug info explicitely when not running locally
+ default: break;
}
switch (fCollisionType) {
case kPythia : {
AliAnalysisTaskJetV2::~AliAnalysisTaskJetV2()
{
// destructor
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+
if(fOutputList) {delete fOutputList; fOutputList = 0x0;}
if(fOutputListGood) {delete fOutputListGood; fOutputListGood = 0x0;}
if(fOutputListBad) {delete fOutputListBad; fOutputListBad = 0x0;}
if(fExpectedRuns) {delete fExpectedRuns; fExpectedRuns = 0x0;}
if(fExpectedSemiGoodRuns) {delete fExpectedSemiGoodRuns; fExpectedSemiGoodRuns = 0x0;}
if(fFitControl) {delete fFitControl; fFitControl = 0x0;}
+ if(fVZEROgainEqualization) {delete fVZEROgainEqualization; fVZEROgainEqualization = 0x0;}
+ if(fChi2A) {delete fChi2A; fChi2A = 0x0;}
+ if(fChi2C) {delete fChi2C; fChi2C = 0x0;}
+ if(fChi3A) {delete fChi3A; fChi3A = 0x0;}
+ if(fChi3C) {delete fChi3C; fChi3C = 0x0;}
+ if(fOADB && !fOADB->IsZombie()) {
+ fOADB->Close(); fOADB = 0x0;
+ } else if (fOADB) fOADB = 0x0;
}
//_____________________________________________________________________________
void AliAnalysisTaskJetV2::ExecOnce()
{
// Init the analysis
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
fLocalRho = new AliLocalRhoParameter(fLocalRhoName.Data(), 0);
if(fAttachToEvent) {
if(!(InputEvent()->FindListObject(fLocalRho->GetName()))) {
Bool_t AliAnalysisTaskJetV2::Notify()
{
// determine the run number to see if the track and jet cuts should be refreshed for semi-good TPC runs
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(fRunNumber != InputEvent()->GetRunNumber()) {
fRunNumber = InputEvent()->GetRunNumber(); // set the current run number
- if(fDebug > 0) printf("__FUNC__ %s > NEW RUNNUMBER DETECTED \n ", __func__);
- // check if this is 10h or 11h data. for 10h we don't want to change the acceptance
+ #ifdef DEBUGTASK
+ printf("__FUNC__ %s > NEW RUNNUMBER DETECTED \n ", __func__);
+ #endif
+ // check if this is 10h or 11h data
switch (fCollisionType) {
case kPbPb10h : {
+ #ifdef DEBUGTASK
+ printf(" LHC10h data, assuming full acceptance, reading VZERO calibration DB \n ");
+ #endif
+ // for 10h data the vzero event plane calibration needs to be cached
+ ReadVZEROCalibration2010h();
+ // no need to change rho or acceptance for 10h, so we're done
return kTRUE;
} break;
- default : break;
+ case kJetFlowMC : {
+ return kTRUE;
+ } break;
+ default : {
+ #ifdef DEBUGTASK
+ printf(" checking runnumber to adjust acceptance on the fly \n");
+ #endif
+ } break;
}
// reset the cuts. should be a pointless operation except for the case where the run number changes
// from semi-good back to good on one node, which is not a likely scenario (unless trains will
// run as one masterjob)
- AliAnalysisTaskEmcal::SetTrackPhiLimits(-10., 10.);
switch (fAnalysisType) {
case kCharged: {
AliAnalysisTaskEmcalJet::SetJetPhiLimits(-10., 10.);
case kFull: {
AliAnalysisTaskEmcalJet::SetJetPhiLimits(1.405 + GetJetRadius(), 3.135 - GetJetRadius());
} break;
- default: break;
+ default: {
+ AliAnalysisTaskEmcal::SetTrackPhiLimits(-10., 10.);
+ } break;
}
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__);
+ #ifdef DEBUGTASK
+ printf("__FUNC__ %s > replacing rho with cached rho \n ", __func__);
+ #endif
fRho = fCachedRho; // reset rho back to cached value. again, should be pointless
}
Bool_t flaggedAsSemiGood(kFALSE); // not flagged as anything
for(Int_t i(0); i < fExpectedSemiGoodRuns->GetSize(); i++) {
if(fExpectedSemiGoodRuns->At(i) == fRunNumber) { // run is semi-good
- if(fDebug > 0) printf("__FUNC__ %s > semi-good tpc run detected, adjusting acceptance \n ", __func__);
+ #ifdef DEBUGTASK
+ printf("__FUNC__ %s > semi-good tpc run detected, adjusting acceptance \n ", __func__);
+ #endif
flaggedAsSemiGood = kTRUE;
switch (fAnalysisType) {
// for full jets the jet acceptance does not have to be changed as emcal does not
// 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__);
+ #ifdef DEBUGTASK
+ printf("__FUNC__ %s > switching to small rho, caching normal rho \n ", __func__);
+ #endif
fHistAnalysisSummary->SetBinContent(54, 1.); // bookkeep the fact that small rho is used
fCachedRho = fRho; // cache the original rho ...
fRho = tempRho; // ... and use the small rho
Bool_t AliAnalysisTaskJetV2::InitializeAnalysis()
{
// initialize the anaysis
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
// if not set, estimate the number of cones that would fit into the selected acceptance
if(fMaxCones <= 0) fMaxCones = TMath::CeilNint((TMath::Abs(GetJetContainer()->GetJetEtaMax()-GetJetContainer()->GetJetEtaMin())*TMath::Abs(GetJetContainer()->GetJetPhiMax()-GetJetContainer()->GetJetPhiMin()))/(TMath::Pi()*GetJetRadius()*GetJetRadius()));
// manually 'override' the default acceptance cuts of the emcal framework (use with caution)
TH1F* AliAnalysisTaskJetV2::BookTH1F(const char* name, const char* x, Int_t bins, Double_t min, Double_t max, Int_t c, Bool_t append)
{
// book a TH1F and connect it to the output container
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(fReduceBinsXByFactor > 0 ) bins = TMath::Nint(bins/fReduceBinsXByFactor);
- if(!fOutputList) return 0x0;
+ if(append && !fOutputList) return 0x0;
TString title(name);
if(c!=-1) { // format centrality dependent histograms accordingly
name = Form("%s_%i", name, c);
return histogram;
}
//_____________________________________________________________________________
-TH2F* AliAnalysisTaskJetV2::BookTH2F(const char* name, const char* x, const char*y, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t c, Bool_t append)
+TH2F* AliAnalysisTaskJetV2::BookTH2F(const char* name, const char* x, const char* y, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t c, Bool_t append)
{
// book a TH2F and connect it to the output container
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(fReduceBinsXByFactor > 0 ) binsx = TMath::Nint(binsx/fReduceBinsXByFactor);
if(fReduceBinsYByFactor > 0 ) binsy = TMath::Nint(binsy/fReduceBinsYByFactor);
- if(!fOutputList) return 0x0;
+ if(append && !fOutputList) return 0x0;
TString title(name);
if(c!=-1) { // format centrality dependent histograms accordingly
name = Form("%s_%i", name, c);
return histogram;
}
//_____________________________________________________________________________
+TH3F* AliAnalysisTaskJetV2::BookTH3F(const char* name, const char* x, const char* y, const char* z, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t binsz, Double_t minz, Double_t maxz, Int_t c, Bool_t append)
+{
+ // book a TH2F and connect it to the output container
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ if(fReduceBinsXByFactor > 0 ) {
+ binsx = TMath::Nint(binsx/fReduceBinsXByFactor);
+ binsy = TMath::Nint(binsy/fReduceBinsXByFactor);
+ binsz = TMath::Nint(binsz/fReduceBinsXByFactor);
+ }
+ if(append && !fOutputList) return 0x0;
+ TString title(name);
+ if(c!=-1) { // format centrality dependent histograms accordingly
+ name = Form("%s_%i", name, c);
+ title += Form("_%i-%i", (int)fCentralityClasses->At(c), (int)(fCentralityClasses->At((1+c))));
+ }
+ title += Form(";%s;%s;%s", x, y, z);
+ TH3F* histogram = new TH3F(name, title.Data(), binsx, minx, maxx, binsy, miny, maxy, binsz, minz, maxz);
+ histogram->Sumw2();
+ if(append) fOutputList->Add(histogram);
+ return histogram;
+}
+//_____________________________________________________________________________
void AliAnalysisTaskJetV2::UserCreateOutputObjects()
{
// create output objects. also initializes some default values in case they aren't
// loaded via the AddTask macro
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
fOutputList = new TList();
fOutputList->SetOwner(kTRUE);
if(!fCentralityClasses) { // classes must be defined at this point
// global QA
fHistCentrality = BookTH1F("fHistCentrality", "centrality", 102, -2, 100);
fHistVertexz = BookTH1F("fHistVertexz", "vertex z (cm)", 100, -12, 12);
+ if(fAcceptanceWeights) {
+ fHistCentralityPercIn = new TProfile("fHistCentralityPercIn", "fHistCentralityPercIn", 102, -2, 100);
+ fHistCentralityPercOut = new TProfile("fHistCentralityPercOut", "fHistCentralityPercOut", 102, -2, 100);
+ fHistCentralityPercLost = new TProfile("fHistCentralityPercLost", "fHistCentralityPercLost", 102, -2, 100);
+ }
+
+ // for some histograms adjust the bounds according to analysis acceptance
+ Double_t etaMin(-1.), etaMax(1.), phiMin(0.), phiMax(TMath::TwoPi());
+ switch (fAnalysisType) {
+ case kFull : {
+ etaMin = -.7;
+ etaMax = .7;
+ phiMin = 1.405;
+ phiMax = 3.135;
+ } break;
+ default : break;
+ }
- // pico track and emcal cluster kinematics
+ // pico track and emcal cluster kinematics, trigger qa
for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
fHistPicoTrackPt[i] = BookTH1F("fHistPicoTrackPt", "p_{t} [GeV/c]", 100, 0, 100, i);
fHistPicoTrackMult[i] = BookTH1F("fHistPicoTrackMult", "multiplicity", 100, 0, 5000, i);
fHistPicoCat3[i] = BookTH2F("fHistPicoCat3", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
if(fAnalysisType == AliAnalysisTaskJetV2::kFull) {
fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i);
- fHistClusterEtaPhi[i] = BookTH2F("fHistClusterEtaPhi", "#eta", "#phi", 100, -1., 1., 100, 0, TMath::TwoPi(), i);
- fHistClusterEtaPhiWeighted[i] = BookTH2F("fHistClusterEtaPhiWeighted", "#eta", "#phi", 100, -1., 1., 100, 0, TMath::TwoPi(), i);
+ fHistClusterEtaPhi[i] = BookTH2F("fHistClusterEtaPhi", "#eta", "#phi", 100, etaMax, etaMax, 100, phiMin, phiMax, i);
+ fHistClusterEtaPhiWeighted[i] = BookTH2F("fHistClusterEtaPhiWeighted", "#eta", "#phi", 100, etaMin, etaMax, 100, phiMin, phiMax, i);
}
+ fHistPsiTPCLeadingJet[i] = BookTH3F("fHistPsiTPCLeadingJet", "p_{t} [GeV/c]", "#Psi_{TPC}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i);
+ fHistPsiVZEROALeadingJet[i] = BookTH3F("fHistPsiVZEROALeadingJet", "p_{t} [GeV/c]", "#Psi_{VZEROA}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i);
+ fHistPsiVZEROCLeadingJet[i] = BookTH3F("fHistPsiVZEROCLeadingJet", "p_{t} [GeV/c]", "#Psi_{VZEROC}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i);
+ fHistPsiVZEROCombLeadingJet[i] = BookTH3F("fHistPsiVZEROCombLeadingJet", "p_{t} [GeV/c]", "#Psi_{VZEROComb}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i);
+ fHistPsi2Correlation[i] = BookTH3F("fHistPsi2Correlation", "#Psi_{TPC}", "#Psi_{VZEROA}", "#Psi_{VZEROC}", 20, -1.*TMath::Pi()/2., TMath::Pi()/2., 20, -1.*TMath::Pi()/2., TMath::Pi()/2., 20, -1.*TMath::Pi()/2., TMath::Pi()/2., i);
+ fHistLeadingJetBackground[i] = BookTH2F("fHistLeadingJetBackground", "#Delta #eta (leading jet with, without sub)", "Delta #varphi (leading jet with, without sub)", 50, 0., 2, 50, 0., TMath::TwoPi(), i);
+ // trigger qa
+ fHistTriggerQAIn[i] = BookTH2F("fHistTriggerQAIn", "trigger configuration", "p_{T}^{jet} (GeV/c) in-plane jets", 16, 0.5, 16.5, 70, -100, 250, i);
+ fHistTriggerQAOut[i] = BookTH2F("fHistTriggerQAOut", "trigger configuration", "p_{T}^{jet} (GeV/c) out-of-plane jets", 16, 0.5, 16.5, 70, -100, 250, i);
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(1, "no trigger");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(2, "kAny");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(3, "kAnyINT");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(4, "kMB");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(5, "kCentral");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(6, "kSemiCentral");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(7, "kEMCEJE");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(8, "kEMCEGA");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(9, "kEMCEJE & kMB");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(10, "kEMCEJE & kCentral");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(11, "kEMCEJE & kSemiCentral");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(12, "kEMCEJE & all min bias");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(13, "kEMCEGA & kMB");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(14, "kEMCEGA & kCentral");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(15, "kEMCEGA & kSemiCentral");
+ fHistTriggerQAIn[i]->GetXaxis()->SetBinLabel(16, "kEMCEGA & all min bias");
+ fHistTriggerQAIn[i]->LabelsOption("v");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(1, "no trigger");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(2, "kAny");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(3, "kAnyINT");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(4, "kMB");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(5, "kCentral");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(6, "kSemiCentral");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(7, "kEMCEJE");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(8, "kEMCEGA");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(9, "kEMCEJE & kMB");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(10, "kEMCEJE & kCentral");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(11, "kEMCEJE & kSemiCentral");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(12, "kEMCEJE & all min bias");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(13, "kEMCEGA & kMB");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(14, "kEMCEGA & kCentral");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(15, "kEMCEGA & kSemiCentral");
+ fHistTriggerQAOut[i]->GetXaxis()->SetBinLabel(16, "kEMCEGA & all min bias");
+ fHistTriggerQAOut[i]->LabelsOption("v");
}
}
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());
+ fHistPsiTPCV0M = BookTH2F("fHistPsiTPCV0M", "V0M", "#Psi_{2, TRK}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
fHistPsiVZEROATRK = BookTH2F("fHistPsiVZEROATRK", "TRK", "#Psi_{2, VZEROA}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
fHistPsiVZEROCTRK = BookTH2F("fHistPsiVZEROCTRK", "TRK", "#Psi_{2, VZEROC}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
fHistPsiVZEROTRK = BookTH2F("fHistPsiVZEROTRK", "TRK", "#Psi_{2, VZERO}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
break;
case kVZEROComb : detector+="VZEROComb";
break;
+ case kFixedEP : detector+="FixedEP";
+ break;
default: break;
}
// delta pt distributions
for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
- if(fFillQAHistograms) fHistRCPhiEta[i] = BookTH2F("fHistRCPhiEta", "#phi (RC)", "#eta (RC)", 40, 0, TMath::TwoPi(), 40, -1, 1, i);
+ if(fFillQAHistograms) fHistRCPhiEta[i] = BookTH2F("fHistRCPhiEta", "#phi (RC)", "#eta (RC)", 40, phiMin, phiMax, 40, etaMin, etaMax, i);
fHistRhoVsRCPt[i] = BookTH2F("fHistRhoVsRCPt", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
fHistRCPt[i] = BookTH1F("fHistRCPt", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
- if(fFillQAHistograms) fHistRCPhiEtaExLJ[i] = BookTH2F("fHistRCPhiEtaExLJ", "#phi (RC)", "#eta (RC)", 40, 0, TMath::TwoPi(), 40, -1, 1, i);
+ if(fFillQAHistograms) fHistRCPhiEtaExLJ[i] = BookTH2F("fHistRCPhiEtaExLJ", "#phi (RC)", "#eta (RC)", 40, phiMin, phiMax, 40, etaMin, etaMax, i);
fHistDeltaPtDeltaPhi2[i] = BookTH2F("fHistDeltaPtDeltaPhi2", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
fHistDeltaPtDeltaPhi2Rho0[i] = BookTH2F("fHistDeltaPtDeltaPhi2Rho0", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
fHistRhoVsRCPtExLJ[i] = BookTH2F("fHistRhoVsRCPtExLJ", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
// jet histograms (after kinematic cuts)
fHistJetPtRaw[i] = BookTH1F("fHistJetPtRaw", "p_{t, jet} RAW [GeV/c]", 200, -50, 150, i);
fHistJetPt[i] = BookTH1F("fHistJetPt", "p_{t, jet} [GeV/c]", 350, -100, 250, i);
- if(fFillQAHistograms) fHistJetEtaPhi[i] = BookTH2F("fHistJetEtaPhi", "#eta", "#phi", 100, -1, 1, 100, 0, TMath::TwoPi(), i);
+ if(fFillQAHistograms) fHistJetEtaPhi[i] = BookTH2F("fHistJetEtaPhi", "#eta", "#phi", 100, etaMin, etaMax, 100, phiMin, phiMax, i);
fHistJetPtArea[i] = BookTH2F("fHistJetPtArea", "p_{t, jet} [GeV/c]", "Area", 175, -100, 250, 30, 0, 0.9, i);
- fHistJetPtEta[i] = BookTH2F("fHistJetPtEta", "p_{t, jet} [GeV/c]", "Eta", 175, -100, 250, 30, -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);
+ fHistJetPtEta[i] = BookTH2F("fHistJetPtEta", "p_{t, jet} [GeV/c]", "Eta", 175, -100, 250, 30, etaMin, etaMax, i);
+ fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t, jet} [GeV/c]", "no. of constituents", 350, -100, 250, 60, 0, 150, i);
+ fHistJetEtaRho[i] = BookTH2F("fHistJetEtaRho", "#eta", "#rho", 100, etaMin, etaMax, 100, 0, 300, i);
// in plane and out of plane spectra
fHistJetPsi2Pt[i] = BookTH2F("fHistJetPsi2Pt", Form("#phi_{jet} - #Psi_{2, %s}", detector.Data()), "p_{t, jet} [GeV/c]", 40, 0., TMath::Pi(), 350, -100, 250, i);
fHistJetPsi2PtRho0[i] = BookTH2F("fHistJetPsi2PtRho0", Form("#phi_{jet} - #Psi_{2, %s}", detector.Data()), "p_{t, jet} [GeV/c]", 40, 0., TMath::Pi(), 350, -100, 250, i);
fHistSwap = new TH1F("fHistSwap", "fHistSwap", 20, 0, TMath::TwoPi());
if(fUsePtWeight) fHistSwap->Sumw2();
- if(fUserSuppliedV2) fOutputList->Add(fUserSuppliedV2);
- if(fUserSuppliedV3) fOutputList->Add(fUserSuppliedV3);
- if(fUserSuppliedR2) fOutputList->Add(fUserSuppliedR2);
- if(fUserSuppliedR3) fOutputList->Add(fUserSuppliedR3);
+ if(fUserSuppliedV2) fOutputList->Add(fUserSuppliedV2);
+ if(fUserSuppliedV3) fOutputList->Add(fUserSuppliedV3);
+ if(fUserSuppliedR2) fOutputList->Add(fUserSuppliedR2);
+ if(fUserSuppliedR3) fOutputList->Add(fUserSuppliedR3);
+ if(fEventPlaneWeights) {
+ // add the original event plane weight histogram
+ fOutputList->Add((TH1F*)(fEventPlaneWeights->Clone("EP_distribution_original")));
+ // calculate the weights that will actually be used
+ fEventPlaneWeights = GetEventPlaneWeights(fEventPlaneWeights);
+ fOutputList->Add(fEventPlaneWeights);
+ }
// increase readability of output list
fOutputList->Sort();
// cdf and pdf of chisquare distribution
//_____________________________________________________________________________
Bool_t AliAnalysisTaskJetV2::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;
+ // called for each accepted event (call made from user exec of parent class)
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ if(!fTracks||!fJets||!fRho) {
+ if(!fTracks) printf(" > Failed to retrieve fTracks ! < \n");
+ if(!fJets) printf(" > Failed to retrieve fJets ! < \n");
+ if(!fRho) printf(" > Failed to retrieve fRho ! < \n");
+ return kFALSE;
+ }
if(!fLocalInit) fLocalInit = InitializeAnalysis();
// reject the event if expected data is missing
if(!PassesCuts(InputEvent())) return kFALSE;
- fLeadingJet = GetLeadingJet(); // store the leading jet
+ // cache the leading jet within acceptance
+ fLeadingJet = GetLeadingJet();
// set the rho value
fLocalRho->SetVal(fRho->GetVal());
+ // place holder arrays for the event planes
+ //
// [0][0] psi2a [1,0] psi2c
// [0][1] psi3a [1,1] psi3c
Double_t vzero[2][2];
- 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);
+ // evaluate the actual event planes
+ switch (fDetectorType) {
+ case kFixedEP : {
+ // for fixed, fix all ep's to default values
+ tpc[0] = 0.; tpc[1] = 1.;
+ vzero[0][0] = 0.; vzero[0][1] = 1.;
+ vzero[1][0] = 0.; vzero[1][1] = 1.;
+ vzeroComb[0] = 0.; vzeroComb[1] = 1.;
+ } break;
+ default : {
+ // else grab the actual data
+ CalculateEventPlaneVZERO(vzero);
+ CalculateEventPlaneCombinedVZERO(vzeroComb);
+ CalculateEventPlaneTPC(tpc);
+ } break;
+ }
Double_t psi2(-1), psi3(-1);
// arrays which will hold the fit parameters
switch (fDetectorType) { // determine the detector type for the rho fit
- case kTPC : { psi2 = tpc[0]; psi3 = tpc[1]; } break;
- case kVZEROA : { psi2 = vzero[0][0]; psi3 = vzero[0][1]; } break;
- case kVZEROC : { psi2 = vzero[1][0]; psi3 = vzero[1][1]; } break;
- case kVZEROComb : { psi2 = vzeroComb[0]; psi3 = vzeroComb[1];} break;
+ case kTPC : { psi2 = tpc[0]; psi3 = tpc[1]; } break;
+ case kVZEROA : { psi2 = vzero[0][0]; psi3 = vzero[0][1]; } break;
+ case kVZEROC : { psi2 = vzero[1][0]; psi3 = vzero[1][1]; } break;
+ case kVZEROComb : { psi2 = vzeroComb[0]; psi3 = vzeroComb[1];} break;
+ case kFixedEP : { psi2 = 0.; psi3 = 1.;} break;
default : break;
}
+ // if requested extract the event plane weight
+ if(fEventPlaneWeights) {
+ fEventPlaneWeight = fEventPlaneWeights->GetBinContent(fEventPlaneWeights->FindBin(psi2));
+ }
+ // if requested store the acceptance weights
+ if(fAcceptanceWeights) {
+ Double_t percIn(0.), percOut(0.), percLost(0.);
+ NumericalOverlap(GetJetContainer()->GetJetEtaMin(), GetJetContainer()->GetJetEtaMax(),
+ psi2, percIn, percOut, percLost);
+ fHistCentralityPercIn->Fill(fCent, percIn);
+ fHistCentralityPercOut->Fill(fCent, percOut);
+ fHistCentralityPercLost->Fill(fCent, percLost);
+ }
switch (fFitModulationType) { // do the fits
case kNoFit : {
switch (fCollisionType) {
}
// if all went well, update the local rho parameter
fLocalRho->SetLocalRho(fFitModulation);
+ // and only at this point can the leading jet after rho subtraction be evaluated
+ if(fFillQAHistograms) fLeadingJetAfterSub = GetLeadingJet(fLocalRho);
// fill a number of histograms. event qa needs to be filled first as it also determines the runnumber for the track qa
- if(fFillQAHistograms) FillQAHistograms(InputEvent());
- if(fFillHistograms) FillHistogramsAfterSubtraction(psi2, vzero, vzeroComb, tpc);
+ if(fFillQAHistograms) FillWeightedQAHistograms(InputEvent());
+ if(fFillHistograms) FillHistogramsAfterSubtraction(psi2, vzero, vzeroComb, tpc);
// send the output to the connected output container
PostData(1, fOutputList);
switch (fRunModeType) {
} break;
default: break;
}
-
return kTRUE;
}
//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::CalculateEventPlaneVZERO(Double_t vzero[2][2]) const
+void AliAnalysisTaskJetV2::Exec(Option_t* c)
{
- // get the vzero event plane
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- 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;
+ // for stand alone, avoid framework event setup
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ switch (fCollisionType) {
+ case kJetFlowMC : {
+ // need to call ExecOnce as it is not loaded otherwise
+ if(!fLocalRho) AliAnalysisTaskJetV2::ExecOnce();
+ AliAnalysisTaskJetV2::Run();
+ } break;
+ default : {
+ AliAnalysisTaskSE::Exec(c);
+ } break;
}
- // 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));
- 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);
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::NumericalOverlap(Double_t x1, Double_t x2, Double_t psi2, Double_t &percIn, Double_t &percOut, Double_t &percLost)
+{
+ // numerically integrate with finite resolution
+ // idea is the following:
+ // 1) choose a vector phi
+ // 2) see if it is in a region of overlap between detector and in/out of plane spectrum
+ // 3) bookkeep percentages over overlap
+ Double_t a(psi2 - TMath::Pi()/4.);
+ // poor man's appproach: fix the frame
+ if(a < 0) a += TMath::Pi();
+ // set the rest of the event
+ Double_t b(a + TMath::Pi()/2.);
+ Double_t c(b + TMath::Pi()/2.);
+ Double_t d(c + TMath::Pi()/2.);
+ Double_t e(d + TMath::Pi()/2.); // may seem mysterious but here for good reasons
+ // get percetnages
+ Double_t interval(TMath::TwoPi() / 1000.);
+ percIn = 0.;
+ percOut = 0.;
+ percLost = 0.;
+ Int_t status(-1);
+ // automagically do the integration
+ for(Double_t i = a; i < a+TMath::TwoPi()-interval; i += interval) {
+ status = OverlapsWithPlane(x1, x2, a, b, c, d, e, i);
+ if(status == 0 ) percLost += .001;
+ else if(status == 1 ) percIn += 0.001;
+ else if(status == 2 ) percOut += 0.001;
+ }
+}
+//_____________________________________________________________________________
+Int_t AliAnalysisTaskJetV2::OverlapsWithPlane (
+ Double_t x1, Double_t x2, // detector geometry relative to ep
+ Double_t a, Double_t b, Double_t c, Double_t d, Double_t e, // in-plane, out-of-plane boundaries (see comments)
+ Double_t phi) // variable
+{
+ // 'numerical integration' of geometric overlap
+ //
+ // works as follows: for a given vector phi determines whether
+ // or not this vector points towards an overlap region of
+ // detector geometry and plane (in or out)
+ //
+ // returns
+ // 1) if overlap with in plane
+ // 2) if overlap with out of plane
+ // 0) if no overlap at all
+ Int_t overlap(0);
+ // check for condition in-plane
+ // conditions are always checked as
+ // 1) is the angle within in-plane sector?
+ // 2) is the angle also within detector acceptance?
+ if(phi > a && phi < b && phi > x1 && phi < x2) overlap = 1;
+ if(phi > c && phi < d && phi > x1 && phi < x2) overlap = 1;
+ // likewise for out-of-plane
+ if(phi > b && phi < c && phi > x1 && phi < x2) overlap = 2;
+ if(phi > d && phi < e && phi > x1 && phi < x2) overlap = 2;
+
+ // life would be so much easier if the detector was flat instead of cylindrical ....
+ x1+=TMath::TwoPi();
+ x2+=TMath::TwoPi();
+
+ if(phi > a && phi < b && phi > x1 && phi < x2) overlap = 1;
+ if(phi > c && phi < d && phi > x1 && phi < x2) overlap = 1;
+ // likewise for out-of-plane
+ if(phi > b && phi < c && phi > x1 && phi < x2) overlap = 2;
+ if(phi > d && phi < e && phi > x1 && phi < x2) overlap = 2;
+
+ return overlap;
+}
+//_____________________________________________________________________________
+Double_t AliAnalysisTaskJetV2::CalculateEventPlaneChi(Double_t res)
+{
+ // return chi for given resolution to combine event plane estimates from two subevents
+ // see Phys. Rev. C no. CS6346 (http://arxiv.org/abs/nucl-ex/9805001)
+ Double_t chi(2.), delta(1.), con((TMath::Sqrt(TMath::Pi()))/(2.*TMath::Sqrt(2)));
+ for (Int_t i(0); i < 15; i++) {
+ chi = ((con*chi*TMath::Exp(-chi*chi/4.)*(TMath::BesselI0(chi*chi/4.)+TMath::BesselI1(chi*chi/4.))) < res) ? chi + delta : chi - delta;
+ delta = delta / 2.;
+ }
+ return chi;
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::CalculateEventPlaneVZERO(Double_t vzero[2][2]) const
+{
+ // get the vzero event plane (a and c separately)
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ switch (fCollisionType) {
+ case kPbPb10h : {
+ // for 10h data, get the calibrated q-vector from the database
+ Double_t QA2[] = {-999., -999.};
+ Double_t QA3[] = {-999., -999.};
+ Double_t QC2[] = {-999., -999.};
+ Double_t QC3[] = {-999., -999.};
+ CalculateQvectorVZERO(QA2, QA3, QC2, QC3);
+ vzero[0][0] = .5*TMath::ATan2(QA2[1], QA2[0]);
+ vzero[1][0] = .5*TMath::ATan2(QC2[1], QC2[0]);
+ vzero[0][1] = (1./3.)*TMath::ATan2(QA3[1], QA3[0]);
+ vzero[1][1] = (1./3.)*TMath::ATan2(QC3[1], QC3[0]);
+ } break;
+ default: {
+ // by default use the ep from the event header (make sure EP selection task is enabeled!)
+ Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0), h(0);
+ vzero[0][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, a, b);
+ vzero[1][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, c, d);
+ vzero[0][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, e, f);
+ vzero[1][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, g, h);
+ return;
}
- 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 AliAnalysisTaskJetV2::CalculateEventPlaneCombinedVZERO(Double_t* comb) const
+{
+ // return the combined vzero event plane
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ switch (fCollisionType) {
+ // for 10h data call calibration info
+ case kPbPb10h : {
+ // get the calibrated q-vectors
+ Double_t Q2[] = {-999., -999.};
+ Double_t Q3[] = {-999., -999.};
+ // return if something isn't ok from the calibration side
+ CalculateQvectorCombinedVZERO(Q2, Q3);
+ comb[0] = .5*TMath::ATan2(Q2[1], Q2[0]);
+ comb[1] = (1./3.)*TMath::ATan2(Q3[1], Q3[0]);
+ } break;
+ default : {
+ // for all other types use calibrated event plane from the event header
+ Double_t a(0), b(0), c(0), d(0);
+ comb[0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 2, a, b);
+ comb[1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 3, c, d);
+ } break;
+ }
}
//_____________________________________________________________________________
void AliAnalysisTaskJetV2::CalculateEventPlaneTPC(Double_t* tpc)
{
// grab the TPC event plane
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
fNAcceptedTracks = 0; // reset the track counter
Double_t qx2(0), qy2(0); // for psi2
Double_t qx3(0), qy3(0); // for psi3
}
tpc[0] = .5*TMath::ATan2(qy2, qx2);
tpc[1] = (1./3.)*TMath::ATan2(qy3, qx3);
-}
-//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::CalculateEventPlaneCombinedVZERO(Double_t* comb) const
-{
- // grab the combined vzero event plane
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- 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);
}
//_____________________________________________________________________________
void AliAnalysisTaskJetV2::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__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
fProfV2Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(2.*(vzero[0][0] - vzero[1][0])));
fProfV2Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(2.*(vzero[1][0] - vzero[0][0])));
fProfV2Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(2.*(vzero[0][0] - tpc[0])));
fProfV3Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(3.*(tpca3 - tpcb3)));
}
//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::CalculateQvectorVZERO(Double_t Qa2[2], Double_t Qc2[2], Double_t Qa3[2], Double_t Qc3[2]) const
+{
+ // return the calibrated 2nd and 3rd order q-vectors for vzeroa and vzeroc
+ // function takes arrays as arguments, which correspond to vzero info in the following way
+ //
+ // Qa2[0] = Qx2 for vzero A Qa2[1] = Qy2 for vzero A (etc)
+
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ // placeholders for geometric information
+ Double_t phi(-999.), weight(-999.);
+ // reset placeholders for Q-vector components
+ Qa2[0] = 0.; Qc2[0] = 0.; Qa3[0] = 0.; Qc3[0] = 0.;
+ Qa2[1] = 0.; Qc2[1] = 0.; Qa3[1] = 0.; Qc3[1] = 0.;
+
+ for(Int_t i(0); i < 64; i++) {
+ // loop over all scintillators, construct Q-vectors in the same loop
+ phi = TMath::PiOver4()*(0.5+i%8);
+ weight = 0.;
+ // note that disabled rings have already been excluded in ReadVZEROCalibration2010h
+ if(i<32) { // v0c side
+ if(i < 8) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[0]/fVZEROgainEqualization->GetBinContent(1+i);
+ else if (i < 16 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[1]/fVZEROgainEqualization->GetBinContent(1+i);
+ else if (i < 24 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[2]/fVZEROgainEqualization->GetBinContent(1+i);
+ else if (i < 32 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[3]/fVZEROgainEqualization->GetBinContent(1+i);
+ // fill Q-vectors for v0c side
+ Qc2[0]+=weight*TMath::Cos(2.*phi);
+ Qc3[0]+=weight*TMath::Cos(3.*phi);
+ Qc2[1]+=weight*TMath::Sin(2.*phi);
+ Qc3[1]+=weight*TMath::Sin(3.*phi);
+ } else { // v0a side
+ if( i < 40) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[0]/fVZEROgainEqualization->GetBinContent(1+i);
+ else if ( i < 48 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[1]/fVZEROgainEqualization->GetBinContent(1+i);
+ else if ( i < 56 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[2]/fVZEROgainEqualization->GetBinContent(1+i);
+ else if ( i < 64 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[3]/fVZEROgainEqualization->GetBinContent(1+i);
+ // fill Q-vectors for v0a side
+ Qa2[0]+=weight*TMath::Cos(2.*phi);
+ Qa3[0]+=weight*TMath::Cos(3.*phi);
+ Qa2[1]+=weight*TMath::Sin(2.*phi);
+ Qa3[1]+=weight*TMath::Sin(3.*phi);
+ }
+ }
+ // get the cache index and read the correction terms from the cache
+ Int_t VZEROcentralityBin(GetVZEROCentralityBin());
+ Double_t Qx2amean = fMeanQ[VZEROcentralityBin][1][0];
+ Double_t Qx2arms = fWidthQ[VZEROcentralityBin][1][0];
+ Double_t Qy2amean = fMeanQ[VZEROcentralityBin][1][1];
+ Double_t Qy2arms = fWidthQ[VZEROcentralityBin][1][1];
+
+ Double_t Qx2cmean = fMeanQ[VZEROcentralityBin][0][0];
+ Double_t Qx2crms = fWidthQ[VZEROcentralityBin][0][0];
+ Double_t Qy2cmean = fMeanQ[VZEROcentralityBin][0][1];
+ Double_t Qy2crms = fWidthQ[VZEROcentralityBin][0][1];
+
+ Double_t Qx3amean = fMeanQv3[VZEROcentralityBin][1][0];
+ Double_t Qx3arms = fWidthQv3[VZEROcentralityBin][1][0];
+ Double_t Qy3amean = fMeanQv3[VZEROcentralityBin][1][1];
+ Double_t Qy3arms = fWidthQv3[VZEROcentralityBin][1][1];
+
+ Double_t Qx3cmean = fMeanQv3[VZEROcentralityBin][0][0];
+ Double_t Qx3crms = fWidthQv3[VZEROcentralityBin][0][0];
+ Double_t Qy3cmean = fMeanQv3[VZEROcentralityBin][0][1];
+ Double_t Qy3crms = fWidthQv3[VZEROcentralityBin][0][1];
+
+ // update the weighted q-vectors with the re-centered values
+ Qa2[0] = (Qa2[0] - Qx2amean)/Qx2arms;
+ Qa2[1] = (Qa2[1] - Qy2amean)/Qy2arms;
+ Qc2[0] = (Qc2[0] - Qx2cmean)/Qx2crms;
+ Qc2[1] = (Qc2[1] - Qy2cmean)/Qy2crms;
+
+ Qa3[0] = (Qa3[0] - Qx3amean)/Qx3arms;
+ Qa3[1] = (Qa3[1] - Qy3amean)/Qy3arms;
+ Qc3[0] = (Qc3[0] - Qx3cmean)/Qx3crms;
+ Qc3[1] = (Qc3[0] - Qy3cmean)/Qy3crms;
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::CalculateQvectorCombinedVZERO(Double_t Q2[2], Double_t Q3[2]) const
+{
+ // calculate calibrated q-vector of the combined vzeroa, vzeroc system
+ // this is somewhat ugly as CalculateQvectorCombinedVZERO is called more than once per event
+ // but for now it will have to do ...
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+
+ // first step: retrieve the q-vectors component-wise per vzero detector
+ Double_t QA2[] = {-999., -999.};
+ Double_t QA3[] = {-999., -999.};
+ Double_t QC2[] = {-999., -999.};
+ Double_t QC3[] = {-999., -999.};
+ CalculateQvectorVZERO(QA2, QA3, QC2, QC3);
+
+ // get cache index and retrieve the chi weights for this centrality
+ Int_t VZEROcentralityBin(GetVZEROCentralityBin());
+ Double_t chi2A(fChi2A->At(VZEROcentralityBin));
+ Double_t chi2C(fChi2C->At(VZEROcentralityBin));
+ Double_t chi3A(fChi3A->At(VZEROcentralityBin));
+ Double_t chi3C(fChi3C->At(VZEROcentralityBin));
+
+ // combine the vzera and vzeroc signal
+ Q2[0] = chi2A*chi2A*QA2[0]+chi2C*chi2C*QC2[0];
+ Q2[1] = chi2A*chi2A*QA2[1]+chi2C*chi2C*QC2[1];
+ Q3[0] = chi3A*chi3A*QA3[0]+chi3C*chi3C*QC3[0];
+ Q3[1] = chi3A*chi3A*QC3[1]+chi3C*chi3C*QC3[1];
+}
+//_____________________________________________________________________________
void AliAnalysisTaskJetV2::CalculateRandomCone(Float_t &pt, Float_t &eta, Float_t &phi,
AliParticleContainer* tracksCont, AliClusterContainer* clusterCont, AliEmcalJet* jet) const
{
// get a random cone
- if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
pt = 0; eta = 0; phi = 0;
Float_t etaJet(999), phiJet(999), dJet(999); // no jet: same as jet very far away
if(jet) { // if a leading jet is given, use its kinematic properties to exclude it
}
// get the neutral energy (if clusters are provided)
if(clusterCont) {
+ TLorentzVector momentum;
AliVCluster* cluster = clusterCont->GetNextAcceptCluster(0);
while(cluster) {
- TLorentzVector momentum;
cluster->GetMomentum(momentum, const_cast<Double_t*>(fVertex));
Float_t etaClus(momentum.Eta()), phiClus(momentum.Phi());
// get distance from cone
//_____________________________________________________________________________
Double_t AliAnalysisTaskJetV2::CalculateQC2(Int_t harm) {
// get the second order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
Double_t reQ(0), imQ(0), modQ(0), M11(0), M(0);
if(fUsePtWeight) { // for the weighted 2-nd order q-cumulant
QCnQnk(harm, 1, reQ, imQ); // get the weighted 2-nd order q-vectors
//_____________________________________________________________________________
Double_t AliAnalysisTaskJetV2::CalculateQC4(Int_t harm) {
// get the fourth order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
Double_t reQn1(0), imQn1(0), reQ2n2(0), imQ2n2(0), reQn3(0), imQn3(0), M1111(0), M(0);
Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0); // terms of the calculation
if(fUsePtWeight) { // for the weighted 4-th order q-cumulant
//_____________________________________________________________________________
void AliAnalysisTaskJetV2::QCnQnk(Int_t n, Int_t k, Double_t &reQ, Double_t &imQ) {
// get the weighted n-th order q-vector, pass real and imaginary part as reference
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(!fTracks) return;
fNAcceptedTracksQCn = 0;
Int_t iTracks(fTracks->GetEntriesFast());
Double_t *mp, Double_t *reqn, Double_t *imqn, Double_t* mq, Int_t n)
{
// get unweighted differential flow vectors
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
Int_t iPois(pois->GetEntriesFast());
if(vpart) {
for(Int_t i(0); i < iPois; i++) {
//_____________________________________________________________________________
Double_t AliAnalysisTaskJetV2::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__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(!fTracks || i <= 0 || j <= 0) return -999;
Int_t iTracks(fTracks->GetEntriesFast());
Double_t Sij(0);
//_____________________________________________________________________________
Double_t AliAnalysisTaskJetV2::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__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
return (Double_t) fNAcceptedTracksQCn;
}
//_____________________________________________________________________________
Double_t AliAnalysisTaskJetV2::QCnM11() {
// get multiplicity weights for the weighted two particle cumulant
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
return (QCnS(2,1) - QCnS(1,2));
}
//_____________________________________________________________________________
Double_t AliAnalysisTaskJetV2::QCnM1111() {
// get multiplicity weights for the weighted four particle cumulant
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
return (QCnS(4,1)-6*QCnS(1,2)*QCnS(2,1)+8*QCnS(1,3)*QCnS(1,1)+3*QCnS(2,2)-6*QCnS(1,4));
}
//_____________________________________________________________________________
Bool_t AliAnalysisTaskJetV2::QCnRecovery(Double_t psi2, Double_t psi3) {
// decides how to deal with the situation where c2 or c3 is negative
// returns kTRUE depending on whether or not a modulated rho is used for the jet background
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(TMath::AreEqualAbs(fFitModulation->GetParameter(3), .0, 1e-10) && TMath::AreEqualAbs(fFitModulation->GetParameter(7), .0,1e-10)) {
fFitModulation->SetParameter(7, 0);
fFitModulation->SetParameter(3, 0);
// 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__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
Int_t freeParams(2); // free parameters of the fit (for NDF)
switch (fFitModulationType) { // for approaches where no fitting is required
case kQC2 : {
break;
case kVZEROComb : detector+="VZEROComb";
break;
+ case kFixedEP : detector+="FixedEP";
+ break;
default: break;
}
Int_t iTracks(fTracks->GetEntriesFast());
Double_t lowBound(0.), upBound(TMath::TwoPi()); // bounds for fit
if(GetParticleContainer()->GetParticlePhiMin() > lowBound) lowBound = GetParticleContainer()->GetParticlePhiMin();
if(GetParticleContainer()->GetParticlePhiMax() < upBound) upBound = GetParticleContainer()->GetParticlePhiMax();
-
fHistSwap->Reset(); // clear the histogram
TH1F _tempSwap; // on stack for quick access
TH1F _tempSwapN; // on stack for quick access, bookkeeping histogram
// non poissonian error when using pt weights
Double_t totalpts(0.), totalptsquares(0.), totalns(0.);
for(Int_t i(0); i < iTracks; i++) {
- AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
- if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta) < GetJetContainer()->GetJetRadius()*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - GetJetContainer()->GetJetRadius() - GetJetContainer()->GetJetEtaMax() ) > 0 )) continue;
- if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
- if(fUsePtWeight) {
- _tempSwap.Fill(track->Phi(), track->Pt());
- if(fUsePtWeightErrorPropagation) {
- totalpts += track->Pt();
- totalptsquares += track->Pt()*track->Pt();
- totalns += 1;
- _tempSwapN.Fill(track->Phi());
- }
+ AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
+ if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta) < GetJetContainer()->GetJetRadius()*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - GetJetContainer()->GetJetRadius() - GetJetContainer()->GetJetEtaMax() ) > 0 )) continue;
+ if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
+ if(fUsePtWeight) {
+ _tempSwap.Fill(track->Phi(), track->Pt());
+ if(fUsePtWeightErrorPropagation) {
+ totalpts += track->Pt();
+ totalptsquares += track->Pt()*track->Pt();
+ totalns += 1;
+ _tempSwapN.Fill(track->Phi());
}
- else _tempSwap.Fill(track->Phi());
+ }
+ 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
+ if(totalns < 2) return kFALSE; // not one track passes the cuts > 2 avoids possible division by 0 later on
for(Int_t l = 0; l < _tempSwap.GetNbinsX(); l++) {
if(_tempSwapN.GetBinContent(l+1) == 0) {
_tempSwap.SetBinContent(l+1,0);
}
}
}
-
fFitModulation->SetParameter(0, fLocalRho->GetVal());
switch (fFitModulationType) {
case kNoFit : {
// the quality of the fit is evaluated from 1 - the cdf of the chi square distribution
// three methods are available, all with their drawbacks. all are stored, one is selected to do the cut
Int_t NDF(_tempSwap.GetXaxis()->GetNbins()-freeParams);
- if(NDF == 0) return kFALSE;
+ if(NDF == 0 || (float)NDF <= 0.) return kFALSE;
Double_t CDF(1.-ChiSquareCDF(NDF, ChiSquare(_tempSwap, fFitModulation)));
Double_t CDFROOT(1.-ChiSquareCDF(NDF, fFitModulation->GetChisquare()));
Double_t CDFKolmogorov(KolmogorovTest(_tempSwap, fFitModulation));
fHistRhoStatusCent->Fill(fCent, -1);
}
}
- if(CDF >= fMinPvalue && CDF <= fMaxPvalue && ( fFitModulation->GetMinimum(0, TMath::TwoPi()) > 0)) { // fit quality. not that although with limited acceptance the fit is performed on just
- // part of phase space, the requirement that energy desntiy is larger than zero is applied
- // to the FULL spectrum
+ if(CDF >= fMinPvalue && CDF <= fMaxPvalue && ( fFitModulation->GetMinimum(0, TMath::TwoPi()) > 0)) {
+ // fit quality. not that although with limited acceptance the fit is performed on just
+ // part of phase space, the requirement that energy desntiy is larger than zero is applied
+ // to the FULL spectrum
fHistRhoStatusCent->Fill(fCent, 0.);
// for LOCAL didactic purposes, save the best and the worst fits
// this routine can produce a lot of output histograms (it's not memory 'safe') and will not work on GRID
Bool_t AliAnalysisTaskJetV2::PassesCuts(AliVEvent* event)
{
// event cuts
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ switch (fCollisionType) {
+ case kJetFlowMC : {
+ fInCentralitySelection = 0;
+ return kTRUE;
+ } break;
+ default : break;
+ }
if(!event || !AliAnalysisTaskEmcal::IsEventSelected()) return kFALSE;
if(TMath::Abs(InputEvent()->GetPrimaryVertex()->GetZ()) > 10.) return kFALSE;
// aod and esd specific checks
for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
if(fCent >= fCentralityClasses->At(i) && fCent <= fCentralityClasses->At(1+i)) {
fInCentralitySelection = i;
- break; }
+ break;
+ }
}
if(fInCentralitySelection<0) return kFALSE; // should be null op
-/* if(fExplicitOutlierCut == 2010 || fExplicitOutlierCut == 2011) {
- if(!PassesCuts(fExplicitOutlierCut)) return kFALSE;
- }*/
// see if input containers are filled
if(fTracks->GetEntries() < 1) return kFALSE;
if(fRho->GetVal() <= 0 ) return kFALSE;
return kTRUE;
}
//_____________________________________________________________________________
-/*Bool_t AliAnalysisTaskJetV2::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<AliAODEvent*>(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.};
- 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;
-}*/
-//_____________________________________________________________________________
void AliAnalysisTaskJetV2::FillHistogramsAfterSubtraction(Double_t psi2, 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();
- if(fAnalysisType == AliAnalysisTaskJetV2::kFull) FillClusterHistograms();
- FillJetHistograms(psi2);
- if(fFillQAHistograms) FillEventPlaneHistograms(vzero, vzeroComb, tpc);
- FillRhoHistograms();
- FillDeltaPtHistograms(psi2);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ // fill histograms. weight is 1 when no procedure is defined
+ FillWeightedTrackHistograms();
+ if(fAnalysisType == AliAnalysisTaskJetV2::kFull) FillWeightedClusterHistograms();
+ FillWeightedJetHistograms(psi2);
+ if(fFillQAHistograms) FillWeightedEventPlaneHistograms(vzero, vzeroComb, tpc);
+ FillWeightedRhoHistograms();
+ FillWeightedDeltaPtHistograms(psi2);
}
//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::FillTrackHistograms() const
+void AliAnalysisTaskJetV2::FillQAHistograms(AliVTrack* vtrack) const
+{
+ // fill qa histograms for pico tracks
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ if(!vtrack) return;
+ AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack);
+ fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi());
+ fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta());
+ Int_t type((int)(track->GetTrackType()));
+ switch (type) {
+ case 0:
+ fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
+ break;
+ case 1:
+ fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
+ break;
+ case 2:
+ fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
+ break;
+ default: break;
+ }
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::FillQAHistograms(AliVEvent* vevent)
+{
+ // fill qa histograms for events
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ if(!vevent) return;
+ fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ());
+ fHistCentrality->Fill(fCent);
+ Int_t runNumber(InputEvent()->GetRunNumber());
+ if(fLeadingJet && fLeadingJetAfterSub) fHistLeadingJetBackground[fInCentralitySelection]->Fill(TMath::Abs(fLeadingJet->Eta()-fLeadingJetAfterSub->Eta()), PhaseShift(fLeadingJet->Phi()-fLeadingJetAfterSub->Phi()));
+ for(fMappedRunNumber = 0; fMappedRunNumber < fExpectedRuns->GetSize(); fMappedRunNumber++) {
+ if(fExpectedRuns->At(fMappedRunNumber) == runNumber) return;
+ }
+ #ifdef DEBUGTASK
+ printf("\n > TASK %s CANNOT IDENTIFY RUN - CONFIGURATION COULD BE INCORRECT < \n", GetName());
+ #endif
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::FillWeightedTrackHistograms() const
{
// fill track histograms
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
Int_t iTracks(fTracks->GetEntriesFast()), iAcceptedTracks(0);
for(Int_t i(0); i < iTracks; i++) {
AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
if(!PassesCuts(track)) continue;
iAcceptedTracks++;
- fHistPicoTrackPt[fInCentralitySelection]->Fill(track->Pt());
+ fHistPicoTrackPt[fInCentralitySelection]->Fill(track->Pt(), fEventPlaneWeight);
if(fFillQAHistograms) FillQAHistograms(track);
}
- fHistPicoTrackMult[fInCentralitySelection]->Fill(iAcceptedTracks);
+ fHistPicoTrackMult[fInCentralitySelection]->Fill(iAcceptedTracks, fEventPlaneWeight);
}
//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::FillClusterHistograms() const
+void AliAnalysisTaskJetV2::FillWeightedClusterHistograms() const
{
// fill cluster histograms
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(!fClusterCont) return;
Int_t iClusters(fClusterCont->GetNClusters());
+ TLorentzVector clusterLorentzVector;
for(Int_t i(0); i < iClusters; i++) {
AliVCluster* cluster = fClusterCont->GetCluster(i);
if (!PassesCuts(cluster)) continue;
- TLorentzVector clusterLorentzVector;
cluster->GetMomentum(clusterLorentzVector, const_cast<Double_t*>(fVertex));
- fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt());
- fHistClusterEtaPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi());
- fHistClusterEtaPhiWeighted[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), clusterLorentzVector.Pt());
+ fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt(), fEventPlaneWeight);
+ fHistClusterEtaPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), fEventPlaneWeight);
+ fHistClusterEtaPhiWeighted[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), clusterLorentzVector.Pt()*fEventPlaneWeight);
}
return;
}
//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::FillEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const
+void AliAnalysisTaskJetV2::FillWeightedEventPlaneHistograms(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]));
+ // fill event plane histograms, only called in qa mode
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ fHistPsiControl->Fill(0.5, vzero[0][0], fEventPlaneWeight); // vzero a psi2
+ fHistPsiControl->Fill(1.5, vzero[1][0], fEventPlaneWeight); // vzero c psi2
+ fHistPsiControl->Fill(2.5, tpc[0], fEventPlaneWeight); // tpc psi 2
+ fHistPsiControl->Fill(5.5, vzero[0][1], fEventPlaneWeight); // vzero a psi3
+ fHistPsiControl->Fill(6.5, vzero[1][1], fEventPlaneWeight); // vzero b psi3
+ fHistPsiControl->Fill(7.5, tpc[1], fEventPlaneWeight); // tpc psi 3
+ fHistPsiVZEROA->Fill(vzero[0][0], fEventPlaneWeight);
+ fHistPsiVZEROC->Fill(vzero[1][0], fEventPlaneWeight);
+ fHistPsiVZERO->Fill(vzeroComb[0], fEventPlaneWeight);
+ fHistPsiTPC->Fill(tpc[0], fEventPlaneWeight);
+ fHistPsiSpread->Fill(0.5, TMath::Abs(vzero[0][0]-vzero[1][0]), fEventPlaneWeight);
+ fHistPsiSpread->Fill(1.5, TMath::Abs(vzero[0][0]-tpc[0]), fEventPlaneWeight);
+ fHistPsiSpread->Fill(2.5, TMath::Abs(vzero[1][0]-tpc[0]), fEventPlaneWeight);
// event plane vs centrality QA histo's to check recentering
Double_t TRK(InputEvent()->GetCentrality()->GetCentralityPercentile("TRK"));
Double_t V0M(InputEvent()->GetCentrality()->GetCentralityPercentile("V0M"));
- fHistPsiVZEROAV0M->Fill(V0M, vzero[0][0]);
- 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]);
+ fHistPsiVZEROAV0M->Fill(V0M, vzero[0][0], fEventPlaneWeight);
+ fHistPsiVZEROCV0M->Fill(V0M, vzero[1][0], fEventPlaneWeight);
+ fHistPsiVZEROVV0M->Fill(V0M, vzeroComb[0], fEventPlaneWeight);
+ fHistPsiTPCV0M->Fill(V0M, tpc[0], fEventPlaneWeight);
+ fHistPsiVZEROATRK->Fill(TRK, vzero[0][0], fEventPlaneWeight);
+ fHistPsiVZEROCTRK->Fill(TRK, vzero[1][0], fEventPlaneWeight);
+ fHistPsiVZEROTRK->Fill(TRK, vzeroComb[0], fEventPlaneWeight);
+ fHistPsiTPCTRK->Fill(TRK, tpc[0], fEventPlaneWeight);
+ // leading jet vs event plane bias
+ if(fLeadingJet) {
+ Double_t rho(fLocalRho->GetLocalVal(fLeadingJet->Phi(), GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
+ Double_t pt(fLeadingJet->Pt() - fLeadingJet->Area()*rho);
+ fHistPsiTPCLeadingJet[fInCentralitySelection]->Fill(pt, tpc[0], fLeadingJet->Phi(), fEventPlaneWeight);
+ fHistPsiVZEROALeadingJet[fInCentralitySelection]->Fill(pt, vzero[0][0], fLeadingJet->Phi(), fEventPlaneWeight);
+ fHistPsiVZEROCLeadingJet[fInCentralitySelection]->Fill(pt, vzero[1][0], fLeadingJet->Phi(), fEventPlaneWeight);
+ fHistPsiVZEROCombLeadingJet[fInCentralitySelection]->Fill(pt, vzeroComb[0], fLeadingJet->Phi(), fEventPlaneWeight);
+ }
+ // correlation of event planes
+ fHistPsi2Correlation[fInCentralitySelection]->Fill(tpc[0], vzero[0][0], vzero[1][0], fEventPlaneWeight);
}
//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::FillRhoHistograms()
+void AliAnalysisTaskJetV2::FillWeightedRhoHistograms()
{
// 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
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ fHistRhoPackage[fInCentralitySelection]->Fill(fLocalRho->GetVal(), fEventPlaneWeight); // save the rho estimate from the emcal jet package
// get multiplicity FIXME inefficient
Int_t iJets(fJets->GetEntriesFast());
Double_t rho(fLocalRho->GetLocalVal(TMath::Pi(), TMath::Pi(), fLocalRho->GetVal()));
- fHistRho[fInCentralitySelection]->Fill(rho);
- fHistRhoVsMult->Fill(fTracks->GetEntries(), rho);
- fHistRhoVsCent->Fill(fCent, rho);
+ fHistRho[fInCentralitySelection]->Fill(rho, fEventPlaneWeight);
+ fHistRhoVsMult->Fill(fTracks->GetEntries(), rho, fEventPlaneWeight);
+ fHistRhoVsCent->Fill(fCent, rho, fEventPlaneWeight);
for(Int_t i(0); i < iJets; i++) {
AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
if(!PassesCuts(jet)) continue;
- fHistRhoAVsMult->Fill(fTracks->GetEntries(), rho * jet->Area());
- fHistRhoAVsCent->Fill(fCent, rho * jet->Area());
+ fHistRhoAVsMult->Fill(fTracks->GetEntries(), rho * jet->Area(), fEventPlaneWeight);
+ fHistRhoAVsCent->Fill(fCent, rho * jet->Area(), fEventPlaneWeight);
}
}
//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::FillDeltaPtHistograms(Double_t psi2) const
+void AliAnalysisTaskJetV2::FillWeightedDeltaPtHistograms(Double_t psi2) const
{
// fill delta pt histograms
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
Int_t i(0);
const Float_t areaRC = GetJetRadius()*GetJetRadius()*TMath::Pi();
// we're retrieved the leading jet, now get a random cone
// get a random cone without constraints on leading jet position
CalculateRandomCone(pt, eta, phi, fTracksCont, fClusterCont, 0x0);
if(pt > 0) {
- if(fFillQAHistograms) fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta);
- 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()));
- fHistDeltaPtDeltaPhi2Rho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal());
+ if(fFillQAHistograms) fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta, fEventPlaneWeight);
+ fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC, fEventPlaneWeight);
+ fHistRCPt[fInCentralitySelection]->Fill(pt, fEventPlaneWeight);
+ fHistDeltaPtDeltaPhi2[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()), fEventPlaneWeight);
+ fHistDeltaPtDeltaPhi2Rho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal(), fEventPlaneWeight);
}
// get a random cone excluding leading jet area
CalculateRandomCone(pt, eta, phi, fTracksCont, fClusterCont, fLeadingJet);
if(pt > 0) {
- if(fFillQAHistograms) fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta);
- 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()));
- fHistDeltaPtDeltaPhi2ExLJRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal());
+ if(fFillQAHistograms) fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta, fEventPlaneWeight);
+ fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC, fEventPlaneWeight);
+ fHistRCPtExLJ[fInCentralitySelection]->Fill(pt, fEventPlaneWeight);
+ fHistDeltaPtDeltaPhi2ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()), fEventPlaneWeight);
+ fHistDeltaPtDeltaPhi2ExLJRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal(), fEventPlaneWeight);
}
}
}
//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::FillJetHistograms(Double_t psi2)
+void AliAnalysisTaskJetV2::FillWeightedJetHistograms(Double_t psi2)
{
// fill jet histograms
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
Int_t iJets(fJets->GetEntriesFast());
+ UInt_t trigger(0);
+ if(fFillQAHistograms) {
+ trigger = ((AliInputEventHandler*)(AliAnalysisManager::GetAnalysisManager()->GetInputEventHandler()))->IsEventSelected();
+ #ifdef DEBUGTASK
+ PrintTriggerSummary(trigger);
+ #endif
+ }
for(Int_t i(0); i < iJets; i++) {
AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
if(PassesCuts(jet)) {
Double_t pt(jet->Pt()), area(jet->Area()), eta(jet->Eta()), phi(jet->Phi());
Double_t rho(fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
- fHistJetPtRaw[fInCentralitySelection]->Fill(pt);
- 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);
- fHistJetPsi2PtRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*fLocalRho->GetVal());
- fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->Nch());
- fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area);
+ fHistJetPtRaw[fInCentralitySelection]->Fill(pt, fEventPlaneWeight);
+ fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho, fEventPlaneWeight);
+ if(fFillQAHistograms) {
+ fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi, fEventPlaneWeight);
+ FillWeightedTriggerQA(PhaseShift(phi-psi2, 2.), pt - area*rho, trigger);
+ }
+ fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area, fEventPlaneWeight);
+ fHistJetPtEta[fInCentralitySelection]->Fill(pt-area*rho, eta, fEventPlaneWeight);
+ fHistJetPsi2Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*rho, fEventPlaneWeight);
+ fHistJetPsi2PtRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*fLocalRho->GetVal(), fEventPlaneWeight);
+ fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->GetNumberOfConstituents(), fEventPlaneWeight);
+ fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area, fEventPlaneWeight);
}
}
}
//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::FillQAHistograms(AliVTrack* vtrack) const
+void AliAnalysisTaskJetV2::FillWeightedQAHistograms(AliVTrack* vtrack) const
{
// fill qa histograms for pico tracks
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(!vtrack) return;
AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack);
- fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi());
- fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta());
+ fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi(), fEventPlaneWeight);
+ fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta(), fEventPlaneWeight);
Int_t type((int)(track->GetTrackType()));
switch (type) {
case 0:
- fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
+ fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi(), fEventPlaneWeight);
break;
case 1:
- fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
+ fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi(), fEventPlaneWeight);
break;
case 2:
- fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
+ fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi(), fEventPlaneWeight);
break;
default: break;
}
}
//_____________________________________________________________________________
-void AliAnalysisTaskJetV2::FillQAHistograms(AliVEvent* vevent)
+void AliAnalysisTaskJetV2::FillWeightedQAHistograms(AliVEvent* vevent)
{
// fill qa histograms for events
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(!vevent) return;
fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ());
fHistCentrality->Fill(fCent);
Int_t runNumber(InputEvent()->GetRunNumber());
- for(fMappedRunNumber = 0; fExpectedRuns->GetSize()+1; fMappedRunNumber++) {
- if(fExpectedRuns->At(fMappedRunNumber) == runNumber) break;
+ if(fLeadingJet && fLeadingJetAfterSub) fHistLeadingJetBackground[fInCentralitySelection]->Fill(TMath::Abs(fLeadingJet->Eta()-fLeadingJetAfterSub->Eta()), PhaseShift(fLeadingJet->Phi()-fLeadingJetAfterSub->Phi()), fEventPlaneWeight);
+ for(fMappedRunNumber = 0; fMappedRunNumber < fExpectedRuns->GetSize(); fMappedRunNumber++) {
+ if(fExpectedRuns->At(fMappedRunNumber) == runNumber) return;
+ }
+ #ifdef DEBUGTASK
+ printf("\n > TASK %s CANNOT IDENTIFY RUN - CONFIGURATION COULD BE INCORRECT < \n", GetName());
+ #endif
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::FillWeightedTriggerQA(Double_t dPhi, Double_t pt, UInt_t trigger)
+{
+ // fill the trigger efficiency histograms
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ // some trigger definitions for readability. the way this routine is set up is as follows
+ // 1) define combined trigger conditions, e.g. bitwise representation of a combined trigger
+ // trigger a = 0 0 1
+ // trigger b = 1 0 0
+ // combined trigger mask = 1 0 1
+ // combined trigger is mask is defined using bitwise OR
+ // 2) check the condition using bitwise AND and equals operator on unsigned integer
+ // (incoming trigger & mask) == mask
+ // 2a) which will do, when incoming trigger equals mask
+ // 1 0 1 & 1 0 1 -> 1 0 1
+ // when checked against requested mask
+ // UInt_t(1 0 1) == UInt_t(1 0 1) returns true
+ // 2b) for an imcompatible trigger, e.g.
+ // 0 0 1 & 1 0 1 -> 0 0 1
+ // UInt_t(0 0 1) == UInt_t(1 0 1) returns false
+
+ // preparing the combined trigger masks
+ UInt_t MB_EMCEJE(AliVEvent::kMB | AliVEvent::kEMCEJE);
+ UInt_t CEN_EMCEJE(AliVEvent::kCentral | AliVEvent::kEMCEJE);
+ UInt_t SEM_EMCEJE(AliVEvent::kSemiCentral | AliVEvent::kEMCEJE);
+ UInt_t ALL_EMCEJE(AliVEvent::kMB | AliVEvent::kCentral | AliVEvent::kSemiCentral | AliVEvent::kEMCEJE);
+ UInt_t MB_EMCEGA(AliVEvent::kMB | AliVEvent::kEMCEGA);
+ UInt_t CEN_EMCEGA(AliVEvent::kCentral | AliVEvent::kEMCEGA);
+ UInt_t SEM_EMCEGA(AliVEvent::kSemiCentral | AliVEvent::kEMCEGA);
+ UInt_t ALL_EMCEGA(AliVEvent::kMB | AliVEvent::kCentral | AliVEvent::kSemiCentral | AliVEvent::kEMCEGA);
+ // actual routine
+ if(IsInPlane(dPhi)) {
+ // in plane bookkeeping of fired triggers. not 'exclusive' so no == necessary
+ if(trigger == 0) fHistTriggerQAIn[fInCentralitySelection]->Fill(1, pt);
+ if(trigger & AliVEvent::kAny) fHistTriggerQAIn[fInCentralitySelection]->Fill(2, pt);
+ if(trigger & AliVEvent::kAnyINT) fHistTriggerQAIn[fInCentralitySelection]->Fill(3, pt);
+ if(trigger & AliVEvent::kMB) fHistTriggerQAIn[fInCentralitySelection]->Fill(4, pt);
+ if(trigger & AliVEvent::kCentral) fHistTriggerQAIn[fInCentralitySelection]->Fill(5, pt);
+ if(trigger & AliVEvent::kSemiCentral) fHistTriggerQAIn[fInCentralitySelection]->Fill(6, pt);
+ if(trigger & AliVEvent::kEMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(7, pt);
+ if(trigger & AliVEvent::kEMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(8, pt);
+ // in plane bookkeeping of trigger combinations (for efficiency)
+ if((trigger & MB_EMCEJE) == MB_EMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(9, pt);
+ if((trigger & CEN_EMCEJE) == CEN_EMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(10, pt);
+ if((trigger & SEM_EMCEJE) == SEM_EMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(11, pt);
+ if((trigger & ALL_EMCEJE) == ALL_EMCEJE) fHistTriggerQAIn[fInCentralitySelection]->Fill(12, pt);
+ if((trigger & MB_EMCEGA) == MB_EMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(13, pt);
+ if((trigger & CEN_EMCEGA) == CEN_EMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(14, pt);
+ if((trigger & SEM_EMCEGA) == SEM_EMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(15, pt);
+ if((trigger & ALL_EMCEGA) == ALL_EMCEGA) fHistTriggerQAIn[fInCentralitySelection]->Fill(16, pt);
+ } else {
+ // out-of-plane bookkeeping of fired triggers. not 'exclusive' so no == necessary
+ if(trigger == 0) fHistTriggerQAOut[fInCentralitySelection]->Fill(1, pt);
+ if(trigger & AliVEvent::kAny) fHistTriggerQAOut[fInCentralitySelection]->Fill(2, pt);
+ if(trigger & AliVEvent::kAnyINT) fHistTriggerQAOut[fInCentralitySelection]->Fill(3, pt);
+ if(trigger & AliVEvent::kMB) fHistTriggerQAOut[fInCentralitySelection]->Fill(4, pt);
+ if(trigger & AliVEvent::kCentral) fHistTriggerQAOut[fInCentralitySelection]->Fill(5, pt);
+ if(trigger & AliVEvent::kSemiCentral) fHistTriggerQAOut[fInCentralitySelection]->Fill(6, pt);
+ if(trigger & AliVEvent::kEMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(7, pt);
+ if(trigger & AliVEvent::kEMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(8, pt);
+ // out-of-plane bookkeeping of trigger combinations (for efficiency)
+ if((trigger & MB_EMCEJE) == MB_EMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(9, pt);
+ if((trigger & CEN_EMCEJE) == CEN_EMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(10, pt);
+ if((trigger & SEM_EMCEJE) == SEM_EMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(11, pt);
+ if((trigger & ALL_EMCEJE) == ALL_EMCEJE) fHistTriggerQAOut[fInCentralitySelection]->Fill(12, pt);
+ if((trigger & MB_EMCEGA) == MB_EMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(13, pt);
+ if((trigger & CEN_EMCEGA) == CEN_EMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(14, pt);
+ if((trigger & SEM_EMCEGA) == SEM_EMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(15, pt);
+ if((trigger & ALL_EMCEGA) == ALL_EMCEGA) fHistTriggerQAOut[fInCentralitySelection]->Fill(16, pt);
}
}
//_____________________________________________________________________________
void AliAnalysisTaskJetV2::FillAnalysisSummaryHistogram() const
{
// fill the analysis summary histrogram, saves all relevant analysis settigns
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
fHistAnalysisSummary->GetXaxis()->SetBinLabel(2, "fJetRadius");
fHistAnalysisSummary->SetBinContent(2, GetJetContainer()->GetJetRadius());
fHistAnalysisSummary->GetXaxis()->SetBinLabel(3, "fJetEtaMin");
fHistAnalysisSummary->SetBinContent(41, (int)fRebinSwapHistoOnTheFly);
fHistAnalysisSummary->GetXaxis()->SetBinLabel(42, "fUsePtWeight");
fHistAnalysisSummary->SetBinContent(42, (int)fUsePtWeight);
-// fHistAnalysisSummary->GetXaxis()->SetBinLabel(43, "fExplicitOutlierCut");
-// fHistAnalysisSummary->SetBinContent(43, fExplicitOutlierCut);
fHistAnalysisSummary->GetXaxis()->SetBinLabel(44, "fSoftTrackMinPt");
fHistAnalysisSummary->SetBinContent(44, fSoftTrackMinPt);
fHistAnalysisSummary->GetXaxis()->SetBinLabel(45, "fSoftTrackMaxPt");
// terminate
switch (fRunModeType) {
case kLocal : {
- printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
AliAnalysisTaskJetV2::Dump();
for(Int_t i(0); i < fHistAnalysisSummary->GetXaxis()->GetNbins(); i++) printf( " > flag: %s \t content %.2f \n", fHistAnalysisSummary->GetXaxis()->GetBinLabel(1+i), fHistAnalysisSummary->GetBinContent(1+i));
} break;
void AliAnalysisTaskJetV2::SetModulationFit(TF1* fit)
{
// set modulation fit
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if (fFitModulation) delete fFitModulation;
fFitModulation = fit;
}
void AliAnalysisTaskJetV2::SetUseControlFit(Bool_t c)
{
// set control fit
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if (fFitControl) delete fFitControl;
if (c) {
fFitControl = new TF1("controlFit", "pol0", 0, TMath::TwoPi());
{
// INTERFACE METHOD FOR OUTPUTFILE
// get the detector resolution, user has ownership of the returned histogram
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
if(!fOutputList) {
printf(" > Please add fOutputList first < \n");
return 0x0;
{
// INTERFACE METHOD FOR OUTPUT FILE
// correct the supplied differential vn histogram v for detector resolution
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
if(!r) {
printf(" > Couldn't find resolution < \n");
// INTERFACE METHOD FOR OUTPUT FILE
// correct the supplied intetrated vn histogram v for detector resolution
// integrated vn must have the same centrality binning as the resolotion correction
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
v->Divide(v, r);
return v;
TH1F* AliAnalysisTaskJetV2::GetDifferentialQC(TProfile* refCumulants, TProfile* diffCumlants, TArrayD* ptBins, Int_t h)
{
// get differential QC
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
Double_t r(refCumulants->GetBinContent(h-1)); // v2 reference flow
if(r > 0) r = TMath::Sqrt(r);
TH1F* qc = new TH1F(Form("QC2v%i", h), Form("QC2v%i", h), ptBins->GetSize()-1, ptBins->GetArray());
}
return qc;
}
+//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::ReadVZEROCalibration2010h()
+{
+ // necessary for calibration of 10h vzero event plane. code copied from flow package
+ // (duplicate, but i didn't want to introduce an ulgy dependency )
+ // this function is only called when the runnumber changes
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+
+ // 1) check if the proper chi weights for merging vzero a and vzero c ep are present
+ // if not, use sane defaults. centrality binning is equal to that given in the fVZEROcentralityBin snippet
+ //
+ // chi values can be calculated using the static helper function
+ // AliAnalysisTaskJetV2::CalculateEventPlaneChi(Double_t res) where res is the event plane
+ // resolution in a given centrality bin
+ //
+ // the resolutions that were used for these defaults are
+ // this might need a bit of updating as they were read 'by-eye' from a performance plot ..
+ // Double_t R2VZEROA[] = {.35, .40, .48, .50, .48, .45, .38, .26, .16};
+ // Double_t R2VZEROC[] = {.45, .60, .70, .73, .68, .60, .40, .36, .17};
+ // Double_t R3VZEROA[] = {.22, .23, .22, .19, .15, .12, .08, .00, .00};
+ // Double_t R3VZEROC[] = {.30, .30, .28, .25, .22, .17, .11, .00, .00};
+
+ Double_t chiC2[] = {0.771423, 1.10236, 1.38116, 1.48077, 1.31964, 1.10236, 0.674622, 0.600403, 0.273865};
+ Double_t chiA2[] = {0.582214, 0.674622, 0.832214, 0.873962, 0.832214, 0.771423, 0.637146, 0.424255, 0.257385};
+ Double_t chiC3[] = {0.493347, 0.493347, 0.458557, 0.407166, 0.356628, 0.273865, 0.176208, 6.10352e-05, 6.10352e-05};
+ Double_t chiA3[] = {0.356628, 0.373474, 0.356628, 0.306702, 0.24115, 0.192322, 0.127869, 6.10352e-05, 6.10352e-05};
+
+ if(!fChi2A) fChi2A = new TArrayD(9, chiA2);
+ if(!fChi2C) fChi2C = new TArrayD(9, chiC2);
+ if(!fChi3A) fChi3A = new TArrayD(9, chiA3);
+ if(!fChi3C) fChi3C = new TArrayD(9, chiC3);
+
+ // 2) open database file
+ fOADB = TFile::Open("$ALICE_ROOT/OADB/PWGCF/VZERO/VZEROcalibEP.root");
+ if(fOADB->IsZombie()){
+ printf("OADB file $ALICE_ROOT/OADB/PWGCF/VZERO/VZEROcalibEP.root cannot be opened, CALIBRATION FAILED !");
+ return;
+ }
+
+ AliOADBContainer *cont = (AliOADBContainer*) fOADB->Get("hMultV0BefCorr");
+ if(!cont){
+ // see if database is readable
+ printf("OADB object hMultV0BefCorr is not available in the file\n");
+ return;
+ }
+ Int_t run(fRunNumber);
+ if(!(cont->GetObject(run))){
+ // if the run isn't recognized fall back to a default run
+ printf("OADB object hMultVZEROBefCorr is not available for run %i (used default run 137366)\n",run);
+ run = 137366;
+ }
+ // step 3) get the proper multiplicity weights from the vzero signal
+ fVZEROgainEqualization = ((TH2F*)cont->GetObject(run))->ProfileX();
+ if(!fVZEROgainEqualization) {
+ AliFatal(Form("%s: Fatal error, couldn't read fVZEROgainEqualization from OADB object < \n", GetName()));
+ return;
+ }
+
+ TF1* fpol0 = new TF1("fpol0","pol0");
+ if(fVZEROgainEqualizationPerRing) {
+ // do the calibration per ring
+ // start with the vzero c rings (segments 0 through 31)
+ fVZEROgainEqualization->Fit(fpol0, "", "", 0, 8);
+ (fUseVZERORing[0]) ? SetVZEROCpol(0, fpol0->GetParameter(0)) : SetVZEROCpol(0, 0.);
+ fVZEROgainEqualization->Fit(fpol0, "", "", 8, 16);
+ (fUseVZERORing[1]) ? SetVZEROCpol(1, fpol0->GetParameter(0)) : SetVZEROCpol(1, 0.);
+ fVZEROgainEqualization->Fit(fpol0, "", "", 16, 24);
+ (fUseVZERORing[2]) ? SetVZEROCpol(2, fpol0->GetParameter(0)) : SetVZEROCpol(2, 0.);
+ fVZEROgainEqualization->Fit(fpol0, "", "", 24, 32);
+ (fUseVZERORing[3]) ? SetVZEROCpol(3, fpol0->GetParameter(0)) : SetVZEROCpol(3, 0.);
+ // same thing for vero A
+ fVZEROgainEqualization->Fit(fpol0, "", "", 32, 40);
+ (fUseVZERORing[4]) ? SetVZEROApol(0, fpol0->GetParameter(0)) : SetVZEROApol(0, 0.);
+ fVZEROgainEqualization->Fit(fpol0, "", "", 40, 48);
+ (fUseVZERORing[5]) ? SetVZEROApol(1, fpol0->GetParameter(0)) : SetVZEROApol(1, 0.);
+ fVZEROgainEqualization->Fit(fpol0, "", "", 48, 56);
+ (fUseVZERORing[6]) ? SetVZEROApol(2, fpol0->GetParameter(0)) : SetVZEROApol(2, 0.);
+ fVZEROgainEqualization->Fit(fpol0, "", "", 56, 64);
+ (fUseVZERORing[7]) ? SetVZEROApol(3, fpol0->GetParameter(0)) : SetVZEROApol(3, 0.);
+ } else {
+ // do the calibration in one go. the calibration will still be
+ // stored per ring, but each ring has the same weight now
+ // this should be the default for the analysis as the database is tuned to this configuration
+ fVZEROgainEqualization->Fit(fpol0,"","",0,31);
+ for(Int_t i(0); i < 4; i++) SetVZEROCpol(i, fpol0->GetParameter(0));
+ fVZEROgainEqualization->Fit(fpol0,"","",32,64);
+ for(Int_t i(0); i < 4; i++) SetVZEROApol(i, fpol0->GetParameter(0));
+ }
+
+ // step 4) extract the information to re-weight the q-vectors
+ for(Int_t iside=0;iside<2;iside++){
+ for(Int_t icoord=0;icoord<2;icoord++){
+ for(Int_t i=0;i < 9;i++){
+ char namecont[100];
+ if(iside==0 && icoord==0)
+ snprintf(namecont,100,"hQxc2_%i",i);
+ else if(iside==1 && icoord==0)
+ snprintf(namecont,100,"hQxa2_%i",i);
+ else if(iside==0 && icoord==1)
+ snprintf(namecont,100,"hQyc2_%i",i);
+ else if(iside==1 && icoord==1)
+ snprintf(namecont,100,"hQya2_%i",i);
+
+ cont = (AliOADBContainer*) fOADB->Get(namecont);
+ if(!cont){
+ printf("OADB object %s is not available in the file\n",namecont);
+ return;
+ }
+
+ if(!(cont->GetObject(run))){
+ printf("OADB object %s is not available for run %i (used run 137366)\n",namecont,run);
+ run = 137366;
+ }
+
+ // store info for all centralities to cache
+ fMeanQ[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetMean();
+ fWidthQ[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetRMS();
+
+ //for v3
+ if(iside==0 && icoord==0)
+ snprintf(namecont,100,"hQxc3_%i",i);
+ else if(iside==1 && icoord==0)
+ snprintf(namecont,100,"hQxa3_%i",i);
+ else if(iside==0 && icoord==1)
+ snprintf(namecont,100,"hQyc3_%i",i);
+ else if(iside==1 && icoord==1)
+ snprintf(namecont,100,"hQya3_%i",i);
+
+ cont = (AliOADBContainer*) fOADB->Get(namecont);
+ if(!cont){
+ printf("OADB object %s is not available in the file\n",namecont);
+ return;
+ }
+
+ if(!(cont->GetObject(run))){
+ printf("OADB object %s is not available for run %i (used run 137366)\n",namecont,run);
+ run = 137366;
+ }
+ // store info for all centralities to cache
+ fMeanQv3[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetMean();
+ fWidthQv3[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetRMS();
+ }
+ }
+ }
+ // cleanup. the opened file is closed in the destructor, otherwise fVZEROgainEqualization is no longer available
+ delete fpol0;
+}
+//_____________________________________________________________________________
+Int_t AliAnalysisTaskJetV2::GetVZEROCentralityBin() const
+{
+ // return cache index number corresponding to the event centrality
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ Float_t v0Centr(InputEvent()->GetCentrality()->GetCentralityPercentile("V0M"));
+ if(v0Centr < 5) return 0;
+ else if(v0Centr < 10) return 1;
+ else if(v0Centr < 20) return 2;
+ else if(v0Centr < 30) return 3;
+ else if(v0Centr < 40) return 4;
+ else if(v0Centr < 50) return 5;
+ else if(v0Centr < 60) return 6;
+ else if(v0Centr < 70) return 7;
+ else return 8;
+}
+//_____________________________________________________________________________
+AliEmcalJet* AliAnalysisTaskJetV2::GetLeadingJet(AliLocalRhoParameter* localRho) {
+ // return pointer to the highest pt jet (before background subtraction) within acceptance
+ // only rudimentary cuts are applied on this level, hence the implementation outside of
+ // the framework
+ #ifdef DEBUGTASK
+ printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ #endif
+ Int_t iJets(fJets->GetEntriesFast());
+ Double_t pt(0);
+ AliEmcalJet* leadingJet(0x0);
+ if(!localRho) {
+ for(Int_t i(0); i < iJets; i++) {
+ AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
+ if(!PassesSimpleCuts(jet)) continue;
+ if(jet->Pt() > pt) {
+ leadingJet = jet;
+ pt = leadingJet->Pt();
+ }
+ }
+ return leadingJet;
+ } else {
+ // return leading jet after background subtraction
+ Double_t rho(0);
+ for(Int_t i(0); i < iJets; i++) {
+ AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
+ if(!PassesSimpleCuts(jet)) continue;
+ rho = localRho->GetLocalVal(jet->Phi(), GetJetContainer()->GetJetRadius(), localRho->GetVal());
+ if((jet->Pt()-jet->Area()*rho) > pt) {
+ leadingJet = jet;
+ pt = (leadingJet->Pt()-jet->Area()*rho);
+ }
+ }
+ return leadingJet;
+
+ }
+ return 0x0;
+}
+//_____________________________________________________________________________
+TH1F* AliAnalysisTaskJetV2::GetEventPlaneWeights(TH1F* hist)
+{
+ // get event weights distribution from event plane distribution
+ TH1F* temp((TH1F*)hist->Clone("EP_weights"));
+ Double_t integral(hist->Integral()/hist->GetNbinsX());
+ // loop over bins and extract the weights
+ for(Int_t i(0); i < hist->GetNbinsX(); i++) {
+ temp->SetBinError(1+i, 0.); // uncertainty is irrelevant
+ temp->SetBinContent(1+i, integral/hist->GetBinContent(1+i));
+ }
+ return temp;
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::PrintTriggerSummary(UInt_t trigger)
+{
+ // test function to print binary representation of given trigger mask
+ // trigger mask is represented by 32 bits (hardcoded as it is an UInt_t )
+ TString triggerName[] = { // trigger names and their corresponding bits. some bits have multiple names
+ "kMB", // 0
+ "kINT7", // 1
+ "kMUON", // 2
+ "kHighMult", // 3
+ "kEMC1", // 4
+ "kCINT5", // 5
+ "kCMUS5 kMUSPB", // 6
+ "kMUSH7 kMUSHPB", // 7
+ "kMUL7 kMuonLikePB", // 8
+ "kMUU7 kMuonUnlikePB", // 9
+ "kEMC7 kEMC8", // 10
+ "kMUS7", // 11
+ "kPHI1", // 12
+ "kPHI7 kPHI8 kPHOSPb", // 13
+ "kEMCEJE", // 14
+ "kEMCEGA", // 15
+ "kCentral", // 16
+ "kSemiCentral", // 17
+ "kDG5", // 18
+ "kZED", // 19
+ "kSPI7 kSPI", // 20
+ "kINT8", // 21
+ "kMuonSingleLowPt", // 22
+ "kMuonSingleHighPt8", // 23
+ "kMuonLikeLowPt8", // 24
+ "kMuonUnlikeLowPt8", // 25
+ "kMuonUnlikeLowPt0", // 26
+ "kUserDefined", // 27
+ "kTRD"}; // 28
+ TString notTriggered = "not fired";
+ printf(" > trigger is %u \n ", trigger);
+ // extract which triggers have been fired exactly and print summary of bits
+ for (Int_t i(0); i < 29; i++) printf("[bit %i]\t [%u] [%s]\n", i, (trigger & ((UInt_t)1 << i)) ? 1U : 0U, (trigger & ((UInt_t)1 << i)) ? triggerName[i].Data() : notTriggered.Data());
+
+ // print accepted trigger combinations
+ printf(" ====== accepted trigger combinations ======= \n");
+ UInt_t MB_EMCEJE(AliVEvent::kMB | AliVEvent::kEMCEJE);
+ UInt_t CEN_EMCEJE(AliVEvent::kCentral | AliVEvent::kEMCEJE);
+ UInt_t SEM_EMCEJE(AliVEvent::kSemiCentral | AliVEvent::kEMCEJE);
+ UInt_t ALL_EMCEJE(AliVEvent::kMB | AliVEvent::kCentral | AliVEvent::kSemiCentral | AliVEvent::kEMCEJE);
+ UInt_t MB_EMCEGA(AliVEvent::kMB | AliVEvent::kEMCEGA);
+ UInt_t CEN_EMCEGA(AliVEvent::kCentral | AliVEvent::kEMCEGA);
+ UInt_t SEM_EMCEGA(AliVEvent::kSemiCentral | AliVEvent::kEMCEGA);
+ UInt_t ALL_EMCEGA(AliVEvent::kMB | AliVEvent::kCentral | AliVEvent::kSemiCentral | AliVEvent::kEMCEGA);
+ if(trigger == 0) printf("(trigger == 0)\n");
+ if(trigger & AliVEvent::kAny) printf("(trigger & AliVEvent::kAny)\n");
+ if(trigger & AliVEvent::kAnyINT) printf("(trigger & AliVEvent::kAnyINT\n");
+ if(trigger & AliVEvent::kMB) printf("(trigger & AliVEvent::kMB)\n");
+ if(trigger & AliVEvent::kCentral) printf("(trigger & AliVEvent::kCentral)\n");
+ if(trigger & AliVEvent::kSemiCentral) printf("(trigger & AliVEvent::kSemiCentral)\n");
+ if(trigger & AliVEvent::kEMCEJE) printf("(trigger & AliVEvent::kEMCEJE)\n");
+ if(trigger & AliVEvent::kEMCEGA) printf("(trigger & AliVEvent::kEMCEGA)\n");
+ if((trigger & MB_EMCEJE) == MB_EMCEJE) printf("(trigger & MB_EMCEJE) == MB_EMCEJE)\n");
+ if((trigger & CEN_EMCEJE) == CEN_EMCEJE) printf("(trigger & CEN_EMCEJE) == CEN_EMCEJE)\n");
+ if((trigger & SEM_EMCEJE) == SEM_EMCEJE) printf("(trigger & SEM_EMCEJE) == SEM_EMCEJE)\n");
+ if((trigger & ALL_EMCEJE) == ALL_EMCEJE) printf("(trigger & ALL_EMCEJE) == ALL_EMCEJE)\n");
+ if((trigger & MB_EMCEGA) == MB_EMCEGA) printf("(trigger & MB_EMCEGA) == MB_EMCEGA)\n");
+ if((trigger & CEN_EMCEGA) == CEN_EMCEGA) printf("(trigger & CEN_EMCEGA) == CEN_EMCEGA)\n");
+ if((trigger & SEM_EMCEGA) == SEM_EMCEGA) printf("(trigger & SEM_EMCEGA) == SEM_EMCEGA)\n");
+ if((trigger & ALL_EMCEGA) == ALL_EMCEGA) printf("(trigger & ALL_EMCEGA) == ALL_EMCEGA)\n");
+}
//_____________________________________________________________________________
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff