#include <TH1F.h>
#include <TH2F.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>
// 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) {
+ 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.), 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), 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;
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) {
+ 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.), 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), 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;
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());
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()
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
+ // check if this is 10h or 11h data
switch (fCollisionType) {
case kPbPb10h : {
+ if(fDebug > 0) printf(" LHC10h data, assuming full acceptance, reading VZERO calibration DB \n ");
+ // 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;
+ default : {
+ if(fDebug > 0) printf(" checking runnumber to adjust acceptance on the fly \n");
+ } 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__);
//_____________________________________________________________________________
Bool_t AliAnalysisTaskJetV2::Run()
{
- // user exec: execute once for each event
+ // called for each accepted event (call made from user exec of parent class)
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
if(!fTracks||!fJets||!fRho) return kFALSE;
if(!fLocalInit) fLocalInit = InitializeAnalysis();
return kTRUE;
}
//_____________________________________________________________________________
+Double_t AliAnalysisTaskJetV2::CalculateEventPlaneChi(Double_t res)
+{
+ // return chi for given resolution FIXME needs citation and explanation (29072014)
+ Double_t chi(2.), delta(1.), con(0.626657);
+ 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
+ // get the vzero event plane (a and c separately)
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;
+ 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;
+ }
}
- // grab the vzero event plane without recentering
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskJetV2::CalculateEventPlaneCombinedVZERO(Double_t* comb) const
+{
+ // return the combined vzero event plane
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);
- }
- 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);
- }
+ 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;
}
- 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::CalculateEventPlaneTPC(Double_t* tpc)
}
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__);
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
fProfV2Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(2.*(vzero[0][0] - vzero[1][0])));
fProfV2Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(2.*(vzero[1][0] - vzero[0][0])));
fProfV2Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(2.*(vzero[0][0] - tpc[0])));
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)
+
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ // 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 ...
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+
+ // 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
{
TClonesArray* pois, TArrayD* ptBins, Bool_t vpart, Double_t* repn, Double_t* impn,
Double_t *mp, Double_t *reqn, Double_t *imqn, Double_t* mq, Int_t n)
{
- // get unweighted differential flow vectors
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ // get unweighted differential flow vectors
Int_t iPois(pois->GetEntriesFast());
if(vpart) {
for(Int_t i(0); i < iPois; i++) {
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
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
void AliAnalysisTaskJetV2::FillQAHistograms(AliVTrack* vtrack) const
{
// fill qa histograms for pico tracks
- if(!vtrack) return;
+ if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ if(!vtrack) return;
AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack);
fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi());
fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta());
void AliAnalysisTaskJetV2::FillQAHistograms(AliVEvent* vevent)
{
// fill qa histograms for events
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
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;
+ for(fMappedRunNumber = 0; fMappedRunNumber < fExpectedRuns->GetSize()+1; fMappedRunNumber++) {
+ if(fExpectedRuns->At(fMappedRunNumber) == runNumber) return;
}
+ printf("\n > TASK %s CANNOT IDENTIFY RUN - CONFIGURATION COULD BE INCORRECT < \n", GetName());
}
//_____________________________________________________________________________
void AliAnalysisTaskJetV2::FillAnalysisSummaryHistogram() const
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__);
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
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
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
if (fFitModulation) delete fFitModulation;
fFitModulation = fit;
}
void AliAnalysisTaskJetV2::SetUseControlFit(Bool_t c)
{
// set control fit
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
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
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
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
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
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
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
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
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
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());
}
//_____________________________________________________________________________
+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
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+
+ // 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
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ 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;
+}
+//_____________________________________________________________________________
git://git.uio.no / u / mrichter / AliRoot.git / commitdiff