* - pico tracks
* aod's and esd's are handled transparently
* the task will attempt to estimate a phi-dependent background density rho
- * by fitting vn harmonics
+ * by fitting vn harmonics to the dpt/dphi distribution
*
* author: Redmer Alexander Bertens, Utrecht Univeristy, Utrecht, Netherlands
* rbertens@cern.ch, rbertens@nikhef.nl, r.a.bertens@uu.nl
*/
+// root includes
#include <TStyle.h>
#include <TRandom3.h>
#include <TChain.h>
#include <TMath.h>
#include <TF1.h>
+#include <TF2.h>
#include <TH1F.h>
#include <TH2F.h>
#include <TProfile.h>
-
+// aliroot includes
#include <AliAnalysisTask.h>
#include <AliAnalysisManager.h>
#include <AliCentrality.h>
#include <AliVVertex.h>
#include <AliESDEvent.h>
#include <AliAODEvent.h>
-
+#include <AliAODTrack.h>
+// emcal jet framework includes
#include <AliPicoTrack.h>
#include <AliEmcalJet.h>
#include <AliRhoParameter.h>
-
-#include "AliAnalysisTaskRhoVnModulation.h"
-
+#include <AliLocalRhoParameter.h>
+#include <AliAnalysisTaskRhoVnModulation.h>
+#include <AliClusterContainer.h>
class AliAnalysisTaskRhoVnModulation;
using namespace std;
ClassImp(AliAnalysisTaskRhoVnModulation)
AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation() : AliAnalysisTaskEmcalJet("AliAnalysisTaskRhoVnModulation", kTRUE),
- fDebug(0), fInitialized(0), fFillQAHistograms(kTRUE), fCentralityClasses(0), fFitModulationType(kNoFit), fDetectorType(kTPC), fFitModulationOptions("Q"), fRunModeType(kGrid), fDataType(kESD), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fMinPvalue(0), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fMinDisanceRCtoLJ(0), fRandomConeRadius(0.4), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfVn(0), fHistPsi2(0), fHistPsi2Spread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiTPC(0),
- fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
+ fDebug(0), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fSemiCentralInclusive(kFALSE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kTPC), fAnalysisType( kCharged), fFitModulationOptions("QWLI"), fRunModeType(kGrid), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fRunNumber(-1), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fNameSmallRho(""), fCachedRho(0), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvalueCDFROOT(0), fHistPvalueCDFROOTCent(0), fHistChi2ROOTCent(0), fHistPChi2Root(0), fHistPvalueCDF(0), fHistPvalueCDFCent(0), fHistChi2Cent(0), fHistPChi2(0), fHistKolmogorovTest(0), fHistKolmogorovTestCent(0), fHistPKolmogorov(0), fHistRhoStatusCent(0), fHistUndeterminedRunQA(0), fMinDisanceRCtoLJ(0), fRandomConeRadius(-1.), fMaxCones(-1), fAbsVnHarmonics(kTRUE), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kTRUE), fExplicitOutlierCut(-1), fMinLeadingHadronPt(0), fSubtractJetPt(kFALSE), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfV2(0), fProfV2Cumulant(0), fProfV3(0), fProfV3Cumulant(0), fHistPsiControl(0), fHistPsiSpread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiVZERO(0), fHistPsiTPC(0), fHistPsiVZEROAV0M(0), fHistPsiVZEROCV0M(0), fHistPsiVZEROVV0M(0), fHistPsiTPCiV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
for(Int_t i(0); i < 10; i++) {
+ fProfV2Resolution[i] = 0;
+ fProfV3Resolution[i] = 0;
fHistPicoTrackPt[i] = 0;
+ fHistPicoTrackMult[i] = 0;
fHistPicoCat1[i] = 0;
fHistPicoCat2[i] = 0;
fHistPicoCat3[i] = 0;
- /* fHistClusterPt[i] = 0; */
- /* fHistClusterPhi[i] = 0; */
- /* fHistClusterEta[i] = 0; */
- /* fHistClusterCorrPt[i] = 0; */
- /* fHistClusterCorrPhi[i] = 0; */
- /* fHistClusterCorrEta[i] = 0; */
+ fHistClusterPt[i] = 0;
+ fHistClusterEtaPhi[i] = 0;
+ fHistClusterEtaPhiWeighted[i] = 0;
fHistRhoPackage[i] = 0;
fHistRho[i] = 0;
fHistRCPhiEta[i] = 0;
fHistRhoVsRCPt[i] = 0;
fHistRCPt[i] = 0;
- fHistDeltaPtDeltaPhi[i] = 0;
+ fHistDeltaPtDeltaPhi2[i] = 0;
+ fHistDeltaPtDeltaPhi3[i] = 0;
fHistRCPhiEtaExLJ[i] = 0;
fHistRhoVsRCPtExLJ[i] = 0;
fHistRCPtExLJ[i] = 0;
- fHistDeltaPtDeltaPhiExLJ[i] = 0;
- fHistRCPhiEtaRand[i] = 0;
- fHistRhoVsRCPtRand[i] = 0;
- fHistRCPtRand[i] = 0;
- fHistDeltaPtDeltaPhiRand[i] = 0;
+ fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
+ fHistDeltaPtDeltaPhi3ExLJ[i] = 0;
fHistJetPtRaw[i] = 0;
fHistJetPt[i] = 0;
fHistJetEtaPhi[i] = 0;
fHistJetPtArea[i] = 0;
+ fHistJetPtEta[i] = 0;
fHistJetPtConstituents[i] = 0;
- fHistJetPsiTPCPt[i] = 0;
- fHistJetPsiVZEROAPt[i] = 0;
- fHistJetPsiVZEROCPt[i] = 0;
- fHistDeltaPhiVZEROA[i] = 0;
- fHistDeltaPhiVZEROC[i] = 0;
- fHistDeltaPhiTPC[i] = 0;
- }
+ fHistJetEtaRho[i] = 0;
+ fHistJetPsi2Pt[i] = 0;
+ fHistJetPsi3Pt[i] = 0;
+ }
// default constructor
}
//_____________________________________________________________________________
AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation(const char* name, runModeType type) : AliAnalysisTaskEmcalJet(name, kTRUE),
- fDebug(0), fInitialized(0), fFillQAHistograms(kTRUE), fCentralityClasses(0), fFitModulationType(kNoFit), fDetectorType(kTPC), fFitModulationOptions("Q"), fRunModeType(type), fDataType(kESD), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fMinPvalue(0), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fMinDisanceRCtoLJ(0), fRandomConeRadius(0.4), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfVn(0), fHistPsi2(0), fHistPsi2Spread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiTPC(0),
- fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
+ fDebug(0), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fSemiCentralInclusive(kFALSE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kTPC), fAnalysisType(kCharged), fFitModulationOptions("QWLI"), fRunModeType(type), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fRunNumber(-1), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fNameSmallRho(""), fCachedRho(0), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvalueCDFROOT(0), fHistPvalueCDFROOTCent(0), fHistChi2ROOTCent(0), fHistPChi2Root(0), fHistPvalueCDF(0), fHistPvalueCDFCent(0), fHistChi2Cent(0), fHistPChi2(0), fHistKolmogorovTest(0), fHistKolmogorovTestCent(0), fHistPKolmogorov(0), fHistRhoStatusCent(0), fHistUndeterminedRunQA(0), fMinDisanceRCtoLJ(0), fRandomConeRadius(-1.), fMaxCones(-1), fAbsVnHarmonics(kTRUE), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kTRUE), fExplicitOutlierCut(-1), fMinLeadingHadronPt(0), fSubtractJetPt(kFALSE), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfV2(0), fProfV2Cumulant(0), fProfV3(0), fProfV3Cumulant(0), fHistPsiControl(0), fHistPsiSpread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiVZERO(0), fHistPsiTPC(0), fHistPsiVZEROAV0M(0), fHistPsiVZEROCV0M(0), fHistPsiVZEROVV0M(0), fHistPsiTPCiV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
for(Int_t i(0); i < 10; i++) {
+ fProfV2Resolution[i] = 0;
+ fProfV3Resolution[i] = 0;
fHistPicoTrackPt[i] = 0;
+ fHistPicoTrackMult[i] = 0;
fHistPicoCat1[i] = 0;
fHistPicoCat2[i] = 0;
fHistPicoCat3[i] = 0;
- /* fHistClusterPt[i] = 0; */
- /* fHistClusterPhi[i] = 0; */
- /* fHistClusterEta[i] = 0; */
- /* fHistClusterCorrPt[i] = 0; */
- /* fHistClusterCorrPhi[i] = 0; */
- /* fHistClusterCorrEta[i] = 0; */
+ fHistClusterPt[i] = 0;
+ fHistClusterEtaPhi[i] = 0;
+ fHistClusterEtaPhiWeighted[i] = 0;
fHistRhoPackage[i] = 0;
fHistRho[i] = 0;
fHistRCPhiEta[i] = 0;
fHistRhoVsRCPt[i] = 0;
fHistRCPt[i] = 0;
- fHistDeltaPtDeltaPhi[i] = 0;
+ fHistDeltaPtDeltaPhi2[i] = 0;
+ fHistDeltaPtDeltaPhi3[i] = 0;
fHistRCPhiEtaExLJ[i] = 0;
fHistRhoVsRCPtExLJ[i] = 0;
fHistRCPtExLJ[i] = 0;
- fHistDeltaPtDeltaPhiExLJ[i] = 0;
- fHistRCPhiEtaRand[i] = 0;
- fHistRhoVsRCPtRand[i] = 0;
- fHistRCPtRand[i] = 0;
- fHistDeltaPtDeltaPhiRand[i] = 0;
+ fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
+ fHistDeltaPtDeltaPhi3ExLJ[i] = 0;
fHistJetPtRaw[i] = 0;
fHistJetPt[i] = 0;
fHistJetEtaPhi[i] = 0;
fHistJetPtArea[i] = 0;
+ fHistJetPtEta[i] = 0;
fHistJetPtConstituents[i] = 0;
- fHistJetPsiTPCPt[i] = 0;
- fHistJetPsiVZEROAPt[i] = 0;
- fHistJetPsiVZEROCPt[i] = 0;
- fHistDeltaPhiVZEROA[i] = 0;
- fHistDeltaPhiVZEROC[i] = 0;
- fHistDeltaPhiTPC[i] = 0;
+ fHistJetEtaRho[i] = 0;
+ fHistJetPsi2Pt[i] = 0;
+ fHistJetPsi3Pt[i] = 0;
}
// constructor
DefineInput(0, TChain::Class());
} break;
default: fDebug = -1; // suppress debug info explicitely when not running locally
}
+ switch (fCollisionType) {
+ case kPythia : {
+ fFitModulationType = kNoFit;
+ } break;
+ default : break;
+ }
+ if(fLocalRhoName=="") fLocalRhoName = Form("LocalRhoFrom_%s", GetName());
}
//_____________________________________________________________________________
AliAnalysisTaskRhoVnModulation::~AliAnalysisTaskRhoVnModulation()
if(fFitModulation) delete fFitModulation;
if(fHistSwap) delete fHistSwap;
if(fCentralityClasses) delete fCentralityClasses;
+ if(fExpectedRuns) delete fExpectedRuns;
+ if(fExpectedSemiGoodRuns) delete fExpectedSemiGoodRuns;
+ if(fFitControl) delete fFitControl;
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskRhoVnModulation::ExecOnce()
+{
+ // Init the analysis
+ fLocalRho = new AliLocalRhoParameter(fLocalRhoName.Data(), 0);
+ if(fAttachToEvent) {
+ if(!(InputEvent()->FindListObject(fLocalRho->GetName()))) {
+ InputEvent()->AddObject(fLocalRho);
+ } else {
+ AliFatal(Form("%s: Container with name %s already present. Aborting", GetName(), fLocalRho->GetName()));
+ }
+ }
+ AliAnalysisTaskEmcalJet::ExecOnce(); // init the base class
+ AliAnalysisTaskEmcalJet::SetVzRange(-1.*fAbsVertexZ, fAbsVertexZ);
+ if(fUseScaledRho) {
+ // unscaled rho has been retrieved by the parent class, now we retrieve rho scaled
+ fRho = dynamic_cast<AliRhoParameter*>(InputEvent()->FindListObject(Form("%s_Scaled", fRho->GetName())));
+ if(!fRho) {
+ AliFatal(Form("%s: Couldn't find container for scaled rho. Aborting !", GetName()));
+ }
+ }
+ if(!GetJetContainer()) AliFatal(Form("%s: Couldn't find jet container. Aborting !", GetName()));
}
//_____________________________________________________________________________
Bool_t AliAnalysisTaskRhoVnModulation::InitializeAnalysis()
{
// initialize the anaysis
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- if(fMinDisanceRCtoLJ==0) fMinDisanceRCtoLJ = .5*fJetRadius;
+ if(fRandomConeRadius <= 0) fRandomConeRadius = GetJetContainer()->GetJetRadius();
+ if(fMaxCones <= 0) fMaxCones = TMath::Nint(1.8*TMath::TwoPi()/(TMath::Pi()*fRandomConeRadius*fRandomConeRadius));
+ if(fLocalJetMinEta > -10 && fLocalJetMaxEta > -10) GetJetContainer()->SetJetEtaLimits(fLocalJetMinEta, fLocalJetMaxEta);
+ if(fLocalJetMinPhi > -10 && fLocalJetMaxPhi > -10) GetJetContainer()->SetJetPhiLimits(fLocalJetMinPhi, fLocalJetMaxPhi);
+ if(fMinDisanceRCtoLJ==0) fMinDisanceRCtoLJ = .5*GetJetRadius();
if(dynamic_cast<AliAODEvent*>(InputEvent())) fDataType = kAOD; // determine the datatype
else if(dynamic_cast<AliESDEvent*>(InputEvent())) fDataType = kESD;
+ fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
if(!fRandom) fRandom = new TRandom3(0); // get a randomized if one hasn't been user-supplied
switch (fFitModulationType) {
case kNoFit : { SetModulationFit(new TF1("fix_kNoFit", "[0]", 0, TMath::TwoPi())); } break;
fFitModulation->FixParameter(1, 1.); // constant
fFitModulation->FixParameter(2, 3.); // constant
} break;
- default : { // for the combined fit and the 'direct fourier series' we use v2 and v3
+ default : { // for the combined fit, the 'direct fourier series' or the user supplied vn values we use v2 and v3
SetModulationFit(new TF1("fit_kCombined", "[0]*([1]+[2]*([3]*TMath::Cos([2]*(x-[4]))+[7]*TMath::Cos([5]*(x-[6]))))", 0, TMath::TwoPi()));
fFitModulation->SetParameter(0, 0.); // normalization
fFitModulation->SetParameter(3, 0.2); // v2
case kGrid : { fFitModulationOptions += "N0"; } break;
default : break;
}
+ FillAnalysisSummaryHistogram();
return kTRUE;
}
//_____________________________________________________________________________
-TH1F* AliAnalysisTaskRhoVnModulation::BookTH1F(const char* name, const char* x, Int_t bins, Double_t min, Double_t max, Int_t c)
+TH1F* AliAnalysisTaskRhoVnModulation::BookTH1F(const char* name, const char* x, Int_t bins, Double_t min, Double_t max, Int_t c, Bool_t append)
{
// book a TH1F and connect it to the output container
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ if(fReduceBinsXByFactor > 0 ) bins = TMath::Nint(bins/fReduceBinsXByFactor);
if(!fOutputList) return 0x0;
TString title(name);
if(c!=-1) { // format centrality dependent histograms accordingly
name = Form("%s_%i", name, c);
- title += Form("_%i-%i", fCentralityClasses->At(c), fCentralityClasses->At(1+c));
+ title += Form("_%i-%i", (int)(fCentralityClasses->At(c)), (int)(fCentralityClasses->At((1+c))));
}
title += Form(";%s;[counts]", x);
TH1F* histogram = new TH1F(name, title.Data(), bins, min, max);
histogram->Sumw2();
- fOutputList->Add(histogram);
+ if(append) fOutputList->Add(histogram);
return histogram;
}
//_____________________________________________________________________________
-TH2F* AliAnalysisTaskRhoVnModulation::BookTH2F(const char* name, const char* x, const char*y, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t c)
+TH2F* AliAnalysisTaskRhoVnModulation::BookTH2F(const char* name, const char* x, const char*y, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t c, Bool_t append)
{
// book a TH2F and connect it to the output container
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ if(fReduceBinsXByFactor > 0 ) binsx = TMath::Nint(binsx/fReduceBinsXByFactor);
+ if(fReduceBinsYByFactor > 0 ) binsy = TMath::Nint(binsy/fReduceBinsYByFactor);
if(!fOutputList) return 0x0;
TString title(name);
if(c!=-1) { // format centrality dependent histograms accordingly
name = Form("%s_%i", name, c);
- title += Form("_%i-%i", fCentralityClasses->At(c), fCentralityClasses->At(1+c));
+ title += Form("_%i-%i", (int)fCentralityClasses->At(c), (int)(fCentralityClasses->At((1+c))));
}
title += Form(";%s;%s", x, y);
TH2F* histogram = new TH2F(name, title.Data(), binsx, minx, maxx, binsy, miny, maxy);
histogram->Sumw2();
- fOutputList->Add(histogram);
+ if(append) fOutputList->Add(histogram);
return histogram;
}
//_____________________________________________________________________________
fOutputList = new TList();
fOutputList->SetOwner(kTRUE);
if(!fCentralityClasses) { // classes must be defined at this point
- Int_t c[] = {0, 20, 40, 60, 80, 100};
- fCentralityClasses = new TArrayI(sizeof(c)/sizeof(c[0]), c);
+ Double_t c[] = {0., 20., 40., 60., 80., 100.};
+ fCentralityClasses = new TArrayD(sizeof(c)/sizeof(c[0]), c);
+ }
+ if(!fExpectedRuns) { // expected runs must be defined at this point
+ Int_t r[] = {167813, 167988, 168066, 168068, 168069, 168076, 168104, 168212, 168311, 168322, 168325, 168341, 168361, 168362, 168458, 168460, 168461, 168992, 169091, 169094, 169138, 169143, 169167, 169417, 169835, 169837, 169838, 169846, 169855, 169858, 169859, 169923, 169956, 170027, 170036, 170081, /* up till here original good TPC list */169975, 169981, 170038, 170040, 170083, 170084, 170085, 170088, 170089, 170091, 170152, 170155, 170159, 170163, 170193, 170195, 170203, 170204, 170205, 170228, 170230, 170264, 170268, 170269, 170270, 170306, 170308, 170309, /* original semi-good tpc list */169415, 169411, 169035, 168988, 168984, 168826, 168777, 168512, 168511, 168467, 168464, 168342, 168310, 168115, 168108, 168107, 167987, 167915, 167903, /*new runs, good according to RCT */ 169238, 169160, 169156, 169148, 169145, 169144 /* run swith missing OROC 8 but seem ok in QA */};
+ fExpectedRuns = new TArrayI(sizeof(r)/sizeof(r[0]), r);
+ }
+ if(!fExpectedSemiGoodRuns) {
+ Int_t r[] = {169975, 169981, 170038, 170040, 170083, 170084, 170085, 170088, 170089, 170091, 170152, 170155, 170159, 170163, 170193, 170195, 170203, 170204, 170205, 170228, 170230, 170264, 170268, 170269, 170270, 170306, 170308, 170309};
+ fExpectedSemiGoodRuns = new TArrayI(sizeof(r)/sizeof(r[0]), r);
}
// global QA
- fHistCentrality = BookTH1F("fHistCentrality", "centrality \%", 102, -2, 100);
+ fHistCentrality = BookTH1F("fHistCentrality", "centrality", 102, -2, 100);
fHistVertexz = BookTH1F("fHistVertexz", "vertex z (cm)", 100, -12, 12);
// pico track kinematics
for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
- fHistPicoTrackPt[i] = BookTH1F("fHistPicoTrackPt", "p_{t} [GeV/c]", 100, 0, 50, i);
+ fHistPicoTrackPt[i] = BookTH1F("fHistPicoTrackPt", "p_{t} [GeV/c]", 100, 0, 100, i);
+ fHistPicoTrackMult[i] = BookTH1F("fHistPicoTrackMult", "multiplicity", 100, 0, 5000, i);
if(fFillQAHistograms) {
- fHistPicoCat1[i] = BookTH2F("fHistPicoCat1", "#eta", "#phi", 100, -1, 1, 100, 0, TMath::TwoPi(), i);
- fHistPicoCat2[i] = BookTH2F("fHistPicoCat2", "#eta", "#phi", 100, -1, 1, 100, 0, TMath::TwoPi(), i);
- fHistPicoCat3[i] = BookTH2F("fHistPicoCat3", "#eta", "#phi", 100, -1, 1, 100, 0, TMath::TwoPi(), i);
+ fHistPicoCat1[i] = BookTH2F("fHistPicoCat1", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
+ fHistPicoCat2[i] = BookTH2F("fHistPicoCat2", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
+ fHistPicoCat3[i] = BookTH2F("fHistPicoCat3", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
}
// emcal kinematics
- /* fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i); */
- /* fHistClusterPhi[i] = BookTH1F("fHistClusterPhi", "#phi", 100, 0, TMath::TwoPi(), i); */
- /* fHistClusterEta[i] = BookTH1F("fHistClusterEta", "#eta", 100, -5, 5); */
+ fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i);
+ fHistClusterEtaPhi[i] = BookTH2F("fHistClusterEtaPhi", "#eta", "#phi", 100, -1., 1., 100, 0, TMath::TwoPi(), i);
+ fHistClusterEtaPhiWeighted[i] = BookTH2F("fHistClusterEtaPhiWeighted", "#eta", "#phi", 100, -1., 1., 100, 0, TMath::TwoPi(), i);
- // emcal kinematics after hadronic correction
- /* fHistClusterCorrPt[i] = BookTH1F("fHistClusterCorrPt", "p_{t} [GeV/c]", 100, 0, 100, i); */
- /* fHistClusterCorrPhi[i] = BookTH1F("fHistClusterCorrPhi", "#phi", 100, 0, TMath::TwoPi(), i); */
- /* fHistClusterCorrEta[i] = BookTH1F("fHistClusterCorrEta", "#eta", 100, -5, 5, i); */
}
- // event plane estimates and quality
- fHistPsi2 = new TProfile("fHistPsi2", "fHistPsi2", 3, 0, 3);
- fHistPsi2->Sumw2();
- fHistPsi2Spread = new TProfile("fHistPsi2Spread", "fHistPsi2Spread", 3, 0, 3);
- fHistPsi2Spread->Sumw2();
- fHistPsi2->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA}>");
- fHistPsi2->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC}>");
- fHistPsi2->GetXaxis()->SetBinLabel(3, "<#Psi_{2, TPC}>");
- fHistPsi2Spread->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA} - #Psi_{2, VZEROC}>");
- fHistPsi2Spread->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
- fHistPsi2Spread->GetXaxis()->SetBinLabel(3, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
- fOutputList->Add(fHistPsi2);
- fOutputList->Add(fHistPsi2Spread);
- fHistPsiVZEROA = BookTH1F("fHistPsiVZEROA", "#Psi_{VZEROA}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
- fHistPsiVZEROC = BookTH1F("fHistPsiVZEROC", "#Psi_{VZEROC}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
- fHistPsiTPC = BookTH1F("fHistPsiTPC", "#Psi_{TPC}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
-
+ if(fFillQAHistograms) {
+ // event plane estimates and quality
+ fHistPsiControl = new TProfile("fHistPsiControl", "fHistPsiControl", 10, 0, 10);
+ fHistPsiControl->Sumw2();
+ fHistPsiSpread = new TProfile("fHistPsiSpread", "fHistPsiSpread", 4, 0, 4);
+ fHistPsiSpread->Sumw2();
+ fHistPsiControl->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA}>");
+ fHistPsiControl->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC}>");
+ fHistPsiControl->GetXaxis()->SetBinLabel(3, "<#Psi_{2, TPC}>");
+ fHistPsiControl->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0}>");
+ fHistPsiControl->GetXaxis()->SetBinLabel(5, "<#Psi_{2, TPC, #eta > 0}>");
+ fHistPsiControl->GetXaxis()->SetBinLabel(6, "<#Psi_{3, VZEROA}>");
+ fHistPsiControl->GetXaxis()->SetBinLabel(7, "<#Psi_{3, VZEROC}>");
+ fHistPsiControl->GetXaxis()->SetBinLabel(8, "<#Psi_{3, TPC}>");
+ fHistPsiControl->GetXaxis()->SetBinLabel(9, "<#Psi_{3, TPC, #eta < 0}>");
+ fHistPsiControl->GetXaxis()->SetBinLabel(10, "<#Psi_{3, TPC, #eta > 0}>");
+ fHistPsiSpread->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA} - #Psi_{2, VZEROC}>");
+ fHistPsiSpread->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
+ fHistPsiSpread->GetXaxis()->SetBinLabel(3, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
+ fHistPsiSpread->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0} - #Psi_{2, TPC, #eta > 0}>");
+ fOutputList->Add(fHistPsiControl);
+ fOutputList->Add(fHistPsiSpread);
+ fHistPsiVZEROA = BookTH1F("fHistPsiVZEROA", "#Psi_{VZEROA}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiVZEROC = BookTH1F("fHistPsiVZEROC", "#Psi_{VZEROC}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiVZERO = BookTH1F("fHistPsiVZERO", "#Psi_{VZERO}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiTPC = BookTH1F("fHistPsiTPC", "#Psi_{TPC}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiVZEROAV0M = BookTH2F("fHistPsiVZEROAV0M", "V0M", "#Psi_{2, VZEROA}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiVZEROCV0M = BookTH2F("fHistPsiVZEROCV0M", "V0M", "#Psi_{2, VZEROC}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiVZEROVV0M = BookTH2F("fHistPsiVZEROV0M", "V0M", "#Psi_{2, VZERO}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiTPCiV0M = BookTH2F("fHistPsiTPCV0M", "V0M", "#Psi_{2, TRK}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiVZEROATRK = BookTH2F("fHistPsiVZEROATRK", "TRK", "#Psi_{2, VZEROA}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiVZEROCTRK = BookTH2F("fHistPsiVZEROCTRK", "TRK", "#Psi_{2, VZEROC}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiVZEROTRK = BookTH2F("fHistPsiVZEROTRK", "TRK", "#Psi_{2, VZERO}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ fHistPsiTPCTRK = BookTH2F("fHistPsiTPCTRK", "TRK", "#Psi_{2, TRK}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
+ }
// background
for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
fHistRhoPackage[i] = BookTH1F("fHistRhoPackage", "#rho [GeV/c]", 100, 0, 150, i);
fHistRhoAVsMult = BookTH2F("fHistRhoAVsMult", "multiplicity", "#rho * A (jet) [GeV/c]", 100, 0, 4000, 100, 0, 50);
fHistRhoAVsCent = BookTH2F("fHistRhoAVsCent", "centrality", "#rho * A (jet) [GeV/c]", 100, 0, 100, 100, 0, 50);
+ TString detector("");
+ switch (fDetectorType) {
+ case kTPC : detector+="TPC";
+ break;
+ case kVZEROA : detector+="VZEROA";
+ break;
+ case kVZEROC : detector+="VZEROC";
+ break;
+ case kVZEROComb : detector+="VZEROComb";
+ break;
+ default: break;
+ }
// delta pt distributions
for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
- fHistRCPhiEta[i] = BookTH2F("fHistRCPhiEta", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i);
- fHistRhoVsRCPt[i] = BookTH2F("fHistRhoVsRCPt", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 250, i);
+ if(fFillQAHistograms) fHistRCPhiEta[i] = BookTH2F("fHistRCPhiEta", "#phi (RC)", "#eta (RC)", 40, 0, TMath::TwoPi(), 40, -1, 1, i);
+ fHistRhoVsRCPt[i] = BookTH2F("fHistRhoVsRCPt", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
fHistRCPt[i] = BookTH1F("fHistRCPt", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
- fHistDeltaPtDeltaPhi[i] = BookTH2F("fHistDeltaPtDeltaPhi", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 100, 0, TMath::TwoPi(), 100, -50, 100);
- fHistRCPhiEtaExLJ[i] = BookTH2F("fHistRCPhiEtaExLJ", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i);
- fHistRhoVsRCPtExLJ[i] = BookTH2F("fHistRhoVsRCPtExLJ", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 250, i);
+ if(fFillQAHistograms) fHistRCPhiEtaExLJ[i] = BookTH2F("fHistRCPhiEtaExLJ", "#phi (RC)", "#eta (RC)", 40, 0, TMath::TwoPi(), 40, -1, 1, i);
+ fHistDeltaPtDeltaPhi2[i] = BookTH2F("fHistDeltaPtDeltaPhi2", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
+ fHistDeltaPtDeltaPhi3[i] = BookTH2F("fHistDeltaPtDeltaPhi3", Form("#phi - #Psi_{3, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::TwoPi()/3., 400, -70, 130, i);
+ fHistRhoVsRCPtExLJ[i] = BookTH2F("fHistRhoVsRCPtExLJ", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
fHistRCPtExLJ[i] = BookTH1F("fHistRCPtExLJ", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
- fHistDeltaPtDeltaPhiExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhiExLJ", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 100, 0, TMath::TwoPi(), 100, -50, 100);
- fHistRCPhiEtaRand[i] = BookTH2F("fHistRCPhiEtaRand", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i);
- fHistRhoVsRCPtRand[i] = BookTH2F("fHistRhoVsRCPtRand", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 250, i);
- fHistRCPtRand[i] = BookTH1F("fHistRCPtRand", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
- fHistDeltaPtDeltaPhiRand[i] = BookTH2F("fHistDeltaPtDeltaPhiRand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 100, 0, TMath::TwoPi(), 100, -50, 100);
+ /* fHistRCPhiEtaRand[i] = BookTH2F("fHistRCPhiEtaRand", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i); */
+ fHistDeltaPtDeltaPhi2ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi2ExLJ", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
+ fHistDeltaPtDeltaPhi3ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi3ExLJ", Form("#phi - #Psi_{3, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::TwoPi()/3., 400, -70, 130, i);
+ /* fHistRhoVsRCPtRand[i] = BookTH2F("fHistRhoVsRCPtRand", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i); */
+ /* fHistRCPtRand[i] = BookTH1F("fHistRCPtRand", "p_{t} (RC) [GeV/c]", 130, -20, 150, i); */
+ /* fHistDeltaPtDeltaPhi2Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi2Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::Pi(), 100, -50, 100, i); */
+ /* fHistDeltaPtDeltaPhi3Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi3Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::TwoPi()/3., 100, -50, 100, i); */
// jet histograms (after kinematic cuts)
- fHistJetPtRaw[i] = BookTH1F("fHistJetPtRaw", "p_{t} RAW [GeV/c]", 200, -50, 150, i);
- fHistJetPt[i] = BookTH1F("fHistJetPt", "p_{t} [GeV/c]", 200, -50, 150, i);
- fHistJetEtaPhi[i] = BookTH2F("fHistJetEtaPhi", "#eta", "#phi", 100, -1, 1, 100, 0, TMath::TwoPi(), i);
- fHistJetPtArea[i] = BookTH2F("fHistJetPtArea", "p_{t} [GeV/c]", "Area", 200, -50, 150, 60, 0, 0.3, i);
- fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t} [GeV/c]", "Area", 200, -50, 150, 60, 0, 150, i);
+ 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);
+ fHistJetPtArea[i] = BookTH2F("fHistJetPtArea", "p_{t, jet} [GeV/c]", "Area", 175, -100, 250, 30, 0, 0.9, i);
+ fHistJetPtEta[i] = BookTH2F("fHistJetPtEta", "p_{t, jet} [GeV/c]", "Eta", 175, -100, 250, 30, -0.9, 0.9, i);
+ fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t, jet} [GeV/c]", "Area", 350, -100, 250, 60, 0, 150, i);
+ fHistJetEtaRho[i] = BookTH2F("fHistJetEtaRho", "#eta", "#rho", 100, -1, 1, 100, 0, 300, i);
// in plane and out of plane spectra
- fHistJetPsiTPCPt[i] = BookTH2F("fHistJetPsiTPCPt", "#phi_{jet} - #Psi_{TPC}", "p_{t} [GeV/c]", 100, 0., TMath::TwoPi(), 100, -50, 100, i);
- fHistJetPsiVZEROAPt[i] = BookTH2F("fHistJetPsiVZEROAPt", "#phi_{jet} - #Psi_{VZEROA}", "p_{t} [GeV/c]", 100, 0., TMath::TwoPi(), 100, -50, 100, i);
- fHistJetPsiVZEROCPt[i] = BookTH2F("fHistJetPsiVZEROCPt", "#phi_{jet} - #Psi_{VZEROC}", "p_{t} [GeV/c]", 100, 0., TMath::TwoPi(), 100, -50, 100, i);
- // phi minus psi
- fHistDeltaPhiVZEROA[i] = BookTH1F("fHistDeltaPhiVZEROA", "#phi_{jet} - #Psi_{VZEROA}", 100, 0, TMath::TwoPi(), i);
- fHistDeltaPhiVZEROC[i] = BookTH1F("fHistDeltaPhiVZEROC", "#phi_{jet} - #Psi_{VZEROC}", 100, 0, TMath::TwoPi(), i);
- fHistDeltaPhiTPC[i] = BookTH1F("fHistDeltaPhiTPC", "#phi_{jet} - #Psi_{TPC}", 100, 0, TMath::TwoPi(), i);
+ 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);
+ fHistJetPsi3Pt[i] = BookTH2F("fHistJetPsi3Pt", Form("#phi_{jet} - #Psi_{3, %s}", detector.Data()), "p_{t, jet} [GeV/c]", 40, 0., TMath::TwoPi()/3., 350, -100, 250, i);
+ // profiles for all correlator permutations which are necessary to calculate each second and third order event plane resolution
+ fProfV2Resolution[i] = new TProfile(Form("fProfV2Resolution_%i", i), Form("fProfV2Resolution_%i", i), 11, -0.5, 10.5);
+ fProfV2Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(2(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
+ fProfV2Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(2(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
+ fProfV2Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(2(#Psi_{VZEROA} - #Psi_{TPC}))>");
+ fProfV2Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(2(#Psi_{TPC} - #Psi_{VZEROA}))>");
+ fProfV2Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(2(#Psi_{VZEROC} - #Psi_{TPC}))>");
+ fProfV2Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(2(#Psi_{TPC} - #Psi_{VZEROC}))>");
+ fProfV2Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_A}))>");
+ fProfV2Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_B}))>");
+ fProfV2Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(2(#Psi_{TPC_A} - #Psi_{TPC_B}))>");
+ fOutputList->Add(fProfV2Resolution[i]);
+ fProfV3Resolution[i] = new TProfile(Form("fProfV3Resolution_%i", i), Form("fProfV3Resolution_%i", i), 11, -0.5, 10.5);
+ fProfV3Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(3(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
+ fProfV3Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(3(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
+ fProfV3Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(3(#Psi_{VZEROA} - #Psi_{TPC}))>");
+ fProfV3Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(3(#Psi_{TPC} - #Psi_{VZEROA}))>");
+ fProfV3Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(3(#Psi_{VZEROC} - #Psi_{TPC}))>");
+ fProfV3Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(3(#Psi_{TPC} - #Psi_{VZEROC}))>");
+ fProfV3Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_A}))>");
+ fProfV3Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_B}))>");
+ fProfV3Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(3(#Psi_{TPC_A} - #Psi_{TPC_B}))>");
+ fOutputList->Add(fProfV3Resolution[i]);
}
-
- // analysis summary histrogram, saves all relevant analysis settigns
- fHistAnalysisSummary = BookTH1F("fHistAnalysisSummary", "flag", 37, -0.5, 37.5);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(1, "fjetRadius");
- fHistAnalysisSummary->SetBinContent(1, fJetRadius);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(2, "fPtBiasJetTrack");
- fHistAnalysisSummary->SetBinContent(2, fPtBiasJetTrack);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(3, "fPtBiasJetClus");
- fHistAnalysisSummary->SetBinContent(3, fPtBiasJetClus);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(4, "fJetPtCut");
- fHistAnalysisSummary->SetBinContent(4, fJetPtCut);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(5, "fJetAreaCut");
- fHistAnalysisSummary->SetBinContent(5, fJetAreaCut);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(6, "fPercAreaCut");
- fHistAnalysisSummary->SetBinContent(6, fPercAreaCut);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(7, "fAreaEmcCut");
- fHistAnalysisSummary->SetBinContent(7, fAreaEmcCut);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(8, "fJetMinEta");
- fHistAnalysisSummary->SetBinContent(8, fJetMinEta);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(9, "fJetMaxEta");
- fHistAnalysisSummary->SetBinContent(9, fJetMaxEta);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(10, "fJetMinPhi");
- fHistAnalysisSummary->SetBinContent(10, fJetMinPhi);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(11, "fJetMaxPhi");
- fHistAnalysisSummary->SetBinContent(11, fJetMaxPhi);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(12, "fMaxClusterPt");
- fHistAnalysisSummary->SetBinContent(12, fMaxClusterPt);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(13, "fMaxTrackPt");
- fHistAnalysisSummary->SetBinContent(13, fMaxTrackPt);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(14, "fLeadingHadronType");
- fHistAnalysisSummary->SetBinContent(14, fLeadingHadronType);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(15, "fAnaType");
- fHistAnalysisSummary->SetBinContent(15, fAnaType);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(16, "fForceBeamType");
- fHistAnalysisSummary->SetBinContent(16, fForceBeamType);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(17, "fMinCent");
- fHistAnalysisSummary->SetBinContent(17, fMinCent);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(18, "fMaxCent");
- fHistAnalysisSummary->SetBinContent(18, fMaxCent);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(19, "fMinVz");
- fHistAnalysisSummary->SetBinContent(19, fMinVz);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(20, "fMaxVz");
- fHistAnalysisSummary->SetBinContent(20, fMaxVz);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(21, "fOffTrigger");
- fHistAnalysisSummary->SetBinContent(21, fOffTrigger);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(22, "fClusPtCut");
- fHistAnalysisSummary->SetBinContent(22, fClusPtCut);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(23, "fTrackPtCut");
- fHistAnalysisSummary->SetBinContent(23, fTrackPtCut);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(24, "fTrackMinEta");
- fHistAnalysisSummary->SetBinContent(24, fTrackMinEta);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(25, "fTrackMaxEta");
- fHistAnalysisSummary->SetBinContent(25, fTrackMaxEta);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(26, "fTrackMinPhi");
- fHistAnalysisSummary->SetBinContent(26, fTrackMinPhi);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(27, "fTrackMaxPhi");
- fHistAnalysisSummary->SetBinContent(27, fTrackMaxPhi);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(28, "fClusTimeCutLow");
- fHistAnalysisSummary->SetBinContent(28, fClusTimeCutLow);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(29, "fClusTimeCutUp");
- fHistAnalysisSummary->SetBinContent(29, fClusTimeCutUp);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(30, "fMinPtTrackInEmcal");
- fHistAnalysisSummary->SetBinContent(30, fMinPtTrackInEmcal);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(31, "fEventPlaneVsEmcal");
- fHistAnalysisSummary->SetBinContent(31, fEventPlaneVsEmcal);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(32, "fMinEventPlane");
- fHistAnalysisSummary->SetBinContent(32, fMaxEventPlane);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(33, "fRandomConeRadius");
- fHistAnalysisSummary->SetBinContent(33, fRandomConeRadius);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(34, "fitModulationType");
- fHistAnalysisSummary->SetBinContent(34, (int)fFitModulationType);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(35, "runModeType");
- fHistAnalysisSummary->SetBinContent(35, (int)fRunModeType);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(36, "data type");
- fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
- fHistAnalysisSummary->GetXaxis()->SetBinLabel(37, "iterator");
- fHistAnalysisSummary->SetBinContent(37, 1.);
-
+ // vn profile
+ Float_t temp[fCentralityClasses->GetSize()];
+ for(Int_t i(0); i < fCentralityClasses->GetSize(); i++) temp[i] = fCentralityClasses->At(i);
+ fProfV2 = new TProfile("fProfV2", "fProfV2", fCentralityClasses->GetSize()-1, temp);
+ fProfV3 = new TProfile("fProfV3", "fProfV3", fCentralityClasses->GetSize()-1, temp);
+ fOutputList->Add(fProfV2);
+ fOutputList->Add(fProfV3);
+ switch (fFitModulationType) {
+ case kQC2 : {
+ fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
+ fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
+ fOutputList->Add(fProfV2Cumulant);
+ fOutputList->Add(fProfV3Cumulant);
+ } break;
+ case kQC4 : {
+ fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
+ fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
+ fOutputList->Add(fProfV2Cumulant);
+ fOutputList->Add(fProfV3Cumulant);
+ } break;
+ default : break;
+ }
+ // for the histograms initialized below, binning is fixed to runnumbers or flags
+ fReduceBinsXByFactor = 1;
+ fReduceBinsYByFactor = 1;
if(fFillQAHistograms) {
- fHistRunnumbersEta = new TH2F("fHistRunnumbersEta", "fHistRunnumbersEta", 100, -.5, 99.5, 100, -1.1, 1.1);
+ fHistRunnumbersEta = new TH2F("fHistRunnumbersEta", "fHistRunnumbersEta", fExpectedRuns->GetSize()+1, -.5, fExpectedRuns->GetSize()+.5, 100, -1.1, 1.1);
fHistRunnumbersEta->Sumw2();
fOutputList->Add(fHistRunnumbersEta);
- fHistRunnumbersPhi = new TH2F("fHistRunnumbersPhi", "fHistRunnumbersPhi", 100, -.5, 99.5, 100, -0.2, TMath::TwoPi()+0.2);
+ fHistRunnumbersPhi = new TH2F("fHistRunnumbersPhi", "fHistRunnumbersPhi", fExpectedRuns->GetSize()+1, -.5, fExpectedRuns->GetSize()+.5, 100, -0.2, TMath::TwoPi()+0.2);
fHistRunnumbersPhi->Sumw2();
fOutputList->Add(fHistRunnumbersPhi);
+ for(Int_t i(0); i < fExpectedRuns->GetSize(); i++) {
+ fHistRunnumbersPhi->GetXaxis()->SetBinLabel(i+1, Form("%i", fExpectedRuns->At(i)));
+ fHistRunnumbersEta->GetXaxis()->SetBinLabel(i+1, Form("%i", fExpectedRuns->At(i)));
+ }
+ fHistRunnumbersPhi->GetXaxis()->SetBinLabel(fExpectedRuns->GetSize()+1, "undetermined");
+ fHistRunnumbersEta->GetXaxis()->SetBinLabel(fExpectedRuns->GetSize()+1, "undetermined");
}
-
+ fHistAnalysisSummary = BookTH1F("fHistAnalysisSummary", "flag", 54, -0.5, 54.5);
fHistSwap = new TH1F("fHistSwap", "fHistSwap", 20, 0, TMath::TwoPi());
- fHistSwap->Sumw2();
- fProfVn = new TProfile("fProfVn", "fProfVn", 2, -0.5, 1.5);
- fProfVn->GetXaxis()->SetBinLabel(1, "v_{2}(EBYE)");
- fProfVn->GetXaxis()->SetBinLabel(2, "v_{2}(EBYE)");
+ if(fUsePtWeight) fHistSwap->Sumw2();
- fOutputList->Add(fProfVn);
+ if(fUserSuppliedV2) fOutputList->Add(fUserSuppliedV2);
+ if(fUserSuppliedV3) fOutputList->Add(fUserSuppliedV3);
+ if(fUserSuppliedR2) fOutputList->Add(fUserSuppliedR2);
+ if(fUserSuppliedR3) fOutputList->Add(fUserSuppliedR3);
+ // increase readability of output list
+ fOutputList->Sort();
+ // cdf and pdf of chisquare distribution
+ fHistPvalueCDF = BookTH1F("fHistPvalueCDF", "CDF #chi^{2}", 50, 0, 1);
+ fHistPvalueCDFCent = BookTH2F("fHistPvalueCDFCent", "centrality", "p-value", 40, 0, 100, 40, 0, 1);
+ fHistChi2Cent = BookTH2F("fHistChi2Cent", "centrality", "#tilde{#chi^{2}}", 100, 0, 100, 100, 0, 5);
+ fHistPChi2 = BookTH2F("fHistPChi2", "p-value", "#tilde{#chi^{2}}", 1000, 0, 1, 100, 0, 5);
+ fHistKolmogorovTest = BookTH1F("fHistKolmogorovTest", "KolmogorovTest", 50, 0, 1);
+ fHistKolmogorovTestCent = BookTH2F("fHistKolmogorovTestCent", "centrality", "Kolmogorov p", 40, 0, 100, 45, 0, 1);
+ fHistPvalueCDFROOT = BookTH1F("fHistPvalueCDFROOT", "CDF #chi^{2} ROOT", 50, 0, 1);
+ fHistPvalueCDFROOTCent = BookTH2F("fHistPvalueCDFROOTCent", "centrality", "p-value ROOT", 40, 0, 100, 45, 0, 1);
+ fHistChi2ROOTCent = BookTH2F("fHistChi2ROOTCent", "centrality", "#tilde{#chi^{2}}", 40, 0, 100, 45, 0, 5);
+ fHistPChi2Root = BookTH2F("fHistPChi2Root", "p-value", "#tilde{#chi^{2}} ROOT", 1000, 0, 1, 100, 0, 5);
+ fHistPKolmogorov = BookTH2F("fHistPKolmogorov", "p-value", "kolmogorov p",40, 0, 1, 40, 0, 1);
+ fHistRhoStatusCent = BookTH2F("fHistRhoStatusCent", "centrality", "status [-1=lin was better, 0=ok, 1 = failed]", 101, -1, 100, 3, -1.5, 1.5);
+ fHistUndeterminedRunQA = BookTH1F("fHistUndeterminedRunQA", "runnumber", 10, 0, 10);
+
PostData(1, fOutputList);
switch (fRunModeType) {
} break;
default: break;
}
+
+ // get the containers
+ fTracksCont = GetParticleContainer("Tracks");
+ fClusterCont = GetClusterContainer(0); // get the default cluster container
+ fJetsCont = GetJetContainer("Jets");
}
//_____________________________________________________________________________
Bool_t AliAnalysisTaskRhoVnModulation::Run()
{
// user exec: execute once for each event
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- if(!fInitialized) fInitialized = InitializeAnalysis();
+ if(!fTracks||!fJets||!fRho) return kFALSE;
+ if(!fLocalInit) fLocalInit = InitializeAnalysis();
// reject the event if expected data is missing
if(!PassesCuts(InputEvent())) return kFALSE;
- if(!(fTracks||fJets||fRho)) return kFALSE;
- if(!fCaloClusters && fDebug > 0) printf(" > Warning: couldn't retreive calo clusters! < \n");
+ fLeadingJet = GetLeadingJet(); // store the leading jet
+ // set the rho value
+ fLocalRho->SetVal(fRho->GetVal());
// [0][0] psi2a [1,0] psi2c
// [0][1] psi3a [1,1] psi3c
Double_t vzero[2][2];
CalculateEventPlaneVZERO(vzero);
+ /* for the combined vzero event plane
+ * [0] psi2 [1] psi3
+ * not fully implmemented yet, use with caution ! */
+ Double_t vzeroComb[2];
+ CalculateEventPlaneCombinedVZERO(vzeroComb);
// [0] psi2 [1] psi3
Double_t tpc[2];
CalculateEventPlaneTPC(tpc);
-
- // arrays which will hold the fit parameters
- Double_t fitParameters[] = {0,0,0,0,0,0,0,0,0};
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]; }
- case kVZEROA : { psi2 = vzero[0][0]; psi3 = vzero[0][1]; }
- case kVZEROC : { psi2 = vzero[1][0]; psi3 = vzero[1][1]; }
+ case kTPC : { psi2 = tpc[0]; psi3 = tpc[1]; } break;
+ case kVZEROA : { psi2 = vzero[0][0]; psi3 = vzero[0][1]; } break;
+ case kVZEROC : { psi2 = vzero[1][0]; psi3 = vzero[1][1]; } break;
+ case kVZEROComb : { psi2 = vzeroComb[0]; psi3 = vzeroComb[1];} break;
default : break;
}
-
switch (fFitModulationType) { // do the fits
- case kNoFit : { fFitModulation->FixParameter(0, RhoVal()); } break;
- case kV2 : {
- CorrectRho(fitParameters, psi2, psi3);
- fProfVn->Fill((double)0, fFitModulation->GetParameter(3));
+ case kNoFit : {
+ switch (fCollisionType) {
+ case kPythia : { // background is zero for pp jets
+ fFitModulation->FixParameter(0, 0);
+ fLocalRho->SetVal(0);
+ } break;
+ default : {
+ fFitModulation->FixParameter(0, fLocalRho->GetVal());
+ } break;
+ }
+ } break;
+ case kV2 : { // only v2
+ if(CorrectRho(psi2, psi3)) {
+ fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
+ if(fUserSuppliedR2) {
+ Double_t r(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
+ if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
+ }
+ CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
+ }
+ } break;
+ case kV3 : { // only v3
+ if(CorrectRho(psi2, psi3)) {
+ if(fUserSuppliedR3) {
+ Double_t r(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
+ if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
+ }
+ fProfV3->Fill(fCent, fFitModulation->GetParameter(3));
+ CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
+ }
} break;
- case kV3 : {
- CorrectRho(fitParameters, psi2, psi3);
- fProfVn->Fill((double)1, fFitModulation->GetParameter(3));
+ case kQC2 : { // qc2 analysis
+ if(CorrectRho(psi2, psi3)) {
+ if(fUserSuppliedR2 && fUserSuppliedR3) {
+ // note for the qc method, resolution is REVERSED to go back to v2obs
+ Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
+ Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
+ if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
+ if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)*r3);
+ }
+ if (fUsePtWeight) { // use weighted weights
+ Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11();
+ fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11);
+ fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11);
+ } else {
+ Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM();
+ fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1));
+ fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1));
+ }
+ CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
+ }
} break;
- case kUser : {
- CorrectRho(fitParameters, psi2, psi3);
+ case kQC4 : {
+ if(CorrectRho(psi2, psi3)) {
+ if(fUserSuppliedR2 && fUserSuppliedR3) {
+ // note for the qc method, resolution is REVERSED to go back to v2obs
+ Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
+ Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
+ if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
+ if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)*r3);
+ }
+ if (fUsePtWeight) { // use weighted weights
+ fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM1111()*/);
+ fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM1111()*/);
+ } else {
+ fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
+ fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
+ }
+ }
+ CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
} break;
default : {
- CorrectRho(fitParameters, psi2, psi3);
- fProfVn->Fill((double)0, fFitModulation->GetParameter(3));
- fProfVn->Fill((double)1, fFitModulation->GetParameter(7));
+ if(CorrectRho(psi2, psi3)) {
+ if(fUserSuppliedR2 && fUserSuppliedR3) {
+ Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
+ Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
+ if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r2);
+ if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)/r3);
+ }
+ fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
+ fProfV3->Fill(fCent, fFitModulation->GetParameter(7));
+ CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
+ }
} break;
}
- // fill a number of histograms
- FillHistogramsAfterSubtraction(vzero, tpc);
-
+ // if all went well, update the local rho parameter
+ fLocalRho->SetLocalRho(fFitModulation);
+ // fill a number of histograms. event qa needs to be filled first as it also determines the runnumber for the track qa
+ if(fFillQAHistograms) FillQAHistograms(InputEvent());
+ if(fFillHistograms) FillHistogramsAfterSubtraction(psi2, psi3, vzero, vzeroComb, tpc);
// send the output to the connected output container
PostData(1, fOutputList);
switch (fRunModeType) {
} break;
default: break;
}
+
return kTRUE;
}
//_____________________________________________________________________________
void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneVZERO(Double_t vzero[2][2]) const
{
- // grab the UNCALIBRATED vzero event plane
+ // get the vzero event plane
+ if(fUseV0EventPlaneFromHeader) { // use the vzero from the header
+ Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0), h(0);
+ vzero[0][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, a, b);
+ vzero[1][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, c, d);
+ vzero[0][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, e, f);
+ vzero[1][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, g, h);
+ return;
+ }
+ // grab the vzero event plane without recentering
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
Double_t qxa2(0), qya2(0), qxc2(0), qyc2(0); // for psi2
Double_t qxa3(0), qya3(0), qxc3(0), qyc3(0); // for psi3
vzero[1][1] = (1./3.)*TMath::ATan2(qyc3, qxc3);
}
//_____________________________________________________________________________
-void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneTPC(Double_t* tpc) const
+void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneTPC(Double_t* tpc)
{
// grab the TPC event plane
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ fNAcceptedTracks = 0; // reset the track counter
Double_t qx2(0), qy2(0); // for psi2
Double_t qx3(0), qy3(0); // for psi3
if(fTracks) {
+ Float_t excludeInEta = -999;
+ if(fExcludeLeadingJetsFromFit > 0 ) { // remove the leading jet from ep estimate
+ if(fLeadingJet) excludeInEta = fLeadingJet->Eta();
+ }
Int_t iTracks(fTracks->GetEntriesFast());
for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
- if(!PassesCuts(track)) continue;
+ if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
+ if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta) < GetJetContainer()->GetJetRadius()*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - GetJetContainer()->GetJetRadius() - GetJetContainer()->GetJetEtaMax() ) > 0 )) continue;
+ fNAcceptedTracks++;
qx2+= TMath::Cos(2.*track->Phi());
qy2+= TMath::Sin(2.*track->Phi());
qx3+= TMath::Cos(3.*track->Phi());
tpc[1] = (1./3.)*TMath::ATan2(qy3, qx3);
}
//_____________________________________________________________________________
+void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneCombinedVZERO(Double_t* comb) const
+{
+ // grab the combined vzero event plane
+// if(fUseV0EventPlaneFromHeader) { // use the vzero from the header
+ Double_t a(0), b(0), c(0), d(0);
+ comb[0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 2, a, b);
+ comb[1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 3, c, d);
+// } else {
+// Double_t qx2a(0), qy2a(0), qx2c(0), qy2c(0), qx3a(0), qy3a(0), qx3c(0), qy3c(0);
+// InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, qx2a, qy2a);
+// InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, qx2c, qy2c);
+// InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, qx3a, qy3a);
+// InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, qx3c, qy3c);
+// FIXME the rest of this function isn't impelmented yet (as of 01-07-2013)
+// Double_t chi2A(-1), chi2C(-1), chi3A(-1), chi3C(-1); // get chi from the resolution
+// Double_t qx2(chi2A*chi2A*qx2a+chi2C*chi2C*qx2c);
+// Double_t qy2(chi2A*chi2A*qy2a+chi2C*chi2C*qy2c);
+// Double_t qx3(chi3A*chi3A*qx3a+chi3C*chi3C*qx3c);
+// Double_t qy3(chi3A*chi3A*qy3a+chi3C*chi3C*qy3c);
+// comb[0] = .5*TMath::ATan2(qy2, qx2);
+// comb[1] = (1./3.)*TMath::ATan2(qy3, qx3);
+// }
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneResolution(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc)
+{
+ // fill the profiles for the resolution parameters
+ if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ fProfV2Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(2.*(vzero[0][0] - vzero[1][0])));
+ fProfV2Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(2.*(vzero[1][0] - vzero[0][0])));
+ fProfV2Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(2.*(vzero[0][0] - tpc[0])));
+ fProfV2Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(2.*(tpc[0] - vzero[0][0])));
+ fProfV2Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(2.*(vzero[1][0] - tpc[0])));
+ fProfV2Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(2.*(tpc[0] - vzero[1][0])));
+ fProfV3Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(3.*(vzero[0][0] - vzero[1][0])));
+ fProfV3Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(3.*(vzero[1][0] - vzero[0][0])));
+ fProfV3Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(3.*(vzero[0][0] - tpc[0])));
+ fProfV3Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(3.*(tpc[0] - vzero[0][0])));
+ fProfV3Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(3.*(vzero[1][0] - tpc[0])));
+ fProfV3Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(3.*(tpc[0] - vzero[1][0])));
+ // for the resolution of the combined vzero event plane, use two tpc halves as uncorrelated subdetectors
+ Double_t qx2a(0), qy2a(0); // for psi2a, negative eta
+ Double_t qx3a(0), qy3a(0); // for psi3a, negative eta
+ Double_t qx2b(0), qy2b(0); // for psi2a, positive eta
+ Double_t qx3b(0), qy3b(0); // for psi3a, positive eta
+ if(fTracks) {
+ Int_t iTracks(fTracks->GetEntriesFast());
+ for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
+ AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
+ if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
+ if(track->Eta() < 0 ) {
+ qx2a+= TMath::Cos(2.*track->Phi());
+ qy2a+= TMath::Sin(2.*track->Phi());
+ qx3a+= TMath::Cos(3.*track->Phi());
+ qy3a+= TMath::Sin(3.*track->Phi());
+ } else if (track->Eta() > 0) {
+ qx2b+= TMath::Cos(2.*track->Phi());
+ qy2b+= TMath::Sin(2.*track->Phi());
+ qx3b+= TMath::Cos(3.*track->Phi());
+ qy3b+= TMath::Sin(3.*track->Phi());
+ }
+ }
+ }
+ Double_t tpca2(.5*TMath::ATan2(qy2a, qx2a));
+ Double_t tpca3((1./3.)*TMath::ATan2(qy3a, qx3a));
+ Double_t tpcb2(.5*TMath::ATan2(qy2b, qx2b));
+ Double_t tpcb3((1./3.)*TMath::ATan2(qy3b, qx3b));
+ fProfV2Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(2.*(vzeroComb[0] - tpca2)));
+ fProfV2Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(2.*(vzeroComb[0] - tpcb2)));
+ fProfV2Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(2.*(tpca2 - tpcb2)));
+ fProfV3Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(3.*(vzeroComb[1] - tpca3)));
+ fProfV3Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(3.*(vzeroComb[1] - tpcb3)));
+ fProfV3Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(3.*(tpca3 - tpcb3)));
+}
+//_____________________________________________________________________________
+Double_t AliAnalysisTaskRhoVnModulation::CalculateEventPlaneChi(Double_t resEP) const
+{
+ // Get Chi from EP resolution (PRC 58 1671)
+ Double_t chi(2.), delta (1.);
+ for (Int_t i(0); i < 15; i++) {
+ chi = ((TMath::Sqrt(TMath::Pi()/2.)/2.)*chi*exp(-chi*chi/4.)*(TMath::BesselI0(chi*chi/4.)+TMath::BesselI1(chi* chi/4.)) < resEP) ? chi+delta : chi-delta;
+ delta/=2.;
+ }
+ return chi;
+}
+//_____________________________________________________________________________
void AliAnalysisTaskRhoVnModulation::CalculateRandomCone(Float_t &pt, Float_t &eta, Float_t &phi,
- AliEmcalJet* jet, Bool_t randomize) const
+ AliEmcalJet* jet) const
{
// get a random cone
if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
etaJet = jet->Eta();
phiJet = jet->Phi();
}
- // force the random cones to at least be within detector acceptance
- Float_t minPhi(fJetMinPhi), maxPhi(fJetMaxPhi);
+ // the random cone acceptance has to equal the jet acceptance
+ // this also insures safety when runnnig on the semi-good tpc runs for 11h data,
+ // where jet acceptance is adjusted to reduced acceptance - hence random cone acceptance as well
+ Float_t minPhi(GetJetContainer()->GetJetPhiMin()), maxPhi(GetJetContainer()->GetJetPhiMax());
if(maxPhi > TMath::TwoPi()) maxPhi = TMath::TwoPi();
if(minPhi < 0 ) minPhi = 0;
- Float_t diffRcRJR(TMath::Abs(fRandomConeRadius-fJetRadius));
+ Float_t diffRcRJR(TMath::Abs(fRandomConeRadius-GetJetContainer()->GetJetRadius()));
// construct a random cone and see if it's far away enough from the leading jet
Int_t attempts(1000);
while(kTRUE) {
attempts--;
- eta = gRandom->Uniform(fJetMinEta+diffRcRJR, fJetMaxEta-diffRcRJR);
+ eta = gRandom->Uniform(GetJetContainer()->GetJetEtaMin()+diffRcRJR, GetJetContainer()->GetJetEtaMax()-diffRcRJR);
phi = gRandom->Uniform(minPhi, maxPhi);
dJet = TMath::Sqrt((etaJet-eta)*(etaJet-eta)+(phiJet-phi)*(phiJet-phi));
return;
}
}
- if(fTracks) {
- Int_t iTracks(fTracks->GetEntriesFast());
- for(Int_t i(0); i < iTracks; i++) {
- AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
- if(!PassesCuts(track)) continue;
+ if(fTracksCont) {
+ AliVParticle* track = fTracksCont->GetNextAcceptParticle(0);
+ while(track) {
Float_t etaTrack(track->Eta()), phiTrack(track->Phi()), ptTrack(track->Pt());
- // if requested, randomize eta and phi to destroy any correlated fluctuations
- if(randomize) {
- etaTrack = gRandom->Uniform(fTrackMinEta, fTrackMaxEta);
- phiTrack = gRandom->Uniform(minPhi, maxPhi);
- }
// get distance from cone
if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi + TMath::TwoPi())) phiTrack+=TMath::TwoPi();
if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi - TMath::TwoPi())) phiTrack-=TMath::TwoPi();
if(TMath::Sqrt(TMath::Abs((etaTrack-eta)*(etaTrack-eta)+(phiTrack-phi)*(phiTrack-phi))) <= fRandomConeRadius) pt+=ptTrack;
+ track = fTracksCont->GetNextAcceptParticle();
}
}
}
//_____________________________________________________________________________
-void AliAnalysisTaskRhoVnModulation::CorrectRho(Double_t* params, Double_t psi2, Double_t psi3) const
+Double_t AliAnalysisTaskRhoVnModulation::CalculateQC2(Int_t harm) {
+ // get the second order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ Double_t reQ(0), imQ(0), modQ(0), M11(0), M(0);
+ if(fUsePtWeight) { // for the weighted 2-nd order q-cumulant
+ QCnQnk(harm, 1, reQ, imQ); // get the weighted 2-nd order q-vectors
+ modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
+ M11 = QCnM11(); // equals S2,1 - S1,2
+ return (M11 > 0) ? ((modQ - QCnS(1,2))/M11) : -999;
+ } // else return the non-weighted 2-nd order q-cumulant
+ QCnQnk(harm, 0, reQ, imQ); // get the non-weighted 2-nd order q-vectors
+ modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
+ M = QCnM();
+ return (M > 1) ? (modQ - M)/(M*(M-1)) : -999;
+}
+//_____________________________________________________________________________
+Double_t AliAnalysisTaskRhoVnModulation::CalculateQC4(Int_t harm) {
+ // get the fourth order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ Double_t reQn1(0), imQn1(0), reQ2n2(0), imQ2n2(0), reQn3(0), imQn3(0), M1111(0), M(0);
+ Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0); // terms of the calculation
+ if(fUsePtWeight) { // for the weighted 4-th order q-cumulant
+ QCnQnk(harm, 1, reQn1, imQn1);
+ QCnQnk(harm*2, 2, reQ2n2, imQ2n2);
+ QCnQnk(harm, 3, reQn3, imQn3);
+ // fill in the terms ...
+ a = (reQn1*reQn1+imQn1*imQn1)*(reQn1*reQn1+imQn1*imQn1);
+ b = reQ2n2*reQ2n2 + imQ2n2*imQ2n2;
+ c = -2.*(reQ2n2*reQn1*reQn1-reQ2n2*imQn1*imQn1+2.*imQ2n2*reQn1*imQn1);
+ d = 8.*(reQn3*reQn1+imQn3*imQn1);
+ e = -4.*QCnS(1,2)*(reQn1*reQn1+imQn1*imQn1);
+ f = -6.*QCnS(1,4);
+ g = 2.*QCnS(2,2);
+ M1111 = QCnM1111();
+ return (M1111 > 0) ? (a+b+c+d+e+f+g)/M1111 : -999;
+ } // else return the unweighted case
+ Double_t reQn(0), imQn(0), reQ2n(0), imQ2n(0);
+ QCnQnk(harm, 0, reQn, imQn);
+ QCnQnk(harm*2, 0, reQ2n, imQ2n);
+ // fill in the terms ...
+ M = QCnM();
+ if(M < 4) return -999;
+ a = (reQn*reQn+imQn*imQn)*(reQn*reQn+imQn*imQn);
+ b = reQ2n*reQ2n + imQ2n*imQ2n;
+ c = -2.*(reQ2n*reQn*reQn-reQ2n*imQn*imQn+2.*imQ2n*reQn*imQn);
+ e = -4.*(M-2)*(reQn*reQn+imQn*imQn);
+ f = 2.*M*(M-3);
+ return (a+b+c+e+f)/(M*(M-1)*(M-2)*(M-3));
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskRhoVnModulation::QCnQnk(Int_t n, Int_t k, Double_t &reQ, Double_t &imQ) {
+ // get the weighted n-th order q-vector, pass real and imaginary part as reference
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ if(!fTracks) return;
+ fNAcceptedTracksQCn = 0;
+ Int_t iTracks(fTracks->GetEntriesFast());
+ for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
+ AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
+ if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
+ fNAcceptedTracksQCn++;
+ // for the unweighted case, k equals zero and the weight doesn't contribute to the equation below
+ reQ += TMath::Power(track->Pt(), k) * TMath::Cos(((double)n)*track->Phi());
+ imQ += TMath::Power(track->Pt(), k) * TMath::Sin(((double)n)*track->Phi());
+ }
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskRhoVnModulation::QCnDiffentialFlowVectors(
+ TClonesArray* pois, TArrayD* ptBins, Bool_t vpart, Double_t* repn, Double_t* impn,
+ Double_t *mp, Double_t *reqn, Double_t *imqn, Double_t* mq, Int_t n)
+{
+ // get unweighted differential flow vectors
+ Int_t iPois(pois->GetEntriesFast());
+ if(vpart) {
+ for(Int_t i(0); i < iPois; i++) {
+ for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) {
+ AliVTrack* poi = static_cast<AliVTrack*>(pois->At(i));
+ if(PassesCuts(poi)) {
+ if(poi->Pt() >= ptBins->At(ptBin) && poi->Pt() < ptBins->At(ptBin+1)) {
+ // fill the flow vectors assuming that all poi's are in the rp selection (true by design)
+ repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
+ impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
+ mp[ptBin]++;
+ reqn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
+ imqn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
+ mq[ptBin]++;
+ }
+ }
+ }
+ }
+ } else {
+ for(Int_t i(0); i < iPois; i++) {
+ for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) {
+ AliEmcalJet* poi = static_cast<AliEmcalJet*>(pois->At(i));
+ if(PassesCuts(poi)) {
+ Double_t pt(poi->Pt()-poi->Area()*fLocalRho->GetLocalVal(poi->Phi(), GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
+ if(pt >= ptBins->At(ptBin) && pt < ptBins->At(ptBin+1)) {
+ repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
+ impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
+ mp[ptBin]++; // qn isn't filled, no overlap between poi's and rp's
+ }
+ }
+ }
+ }
+ }
+}
+//_____________________________________________________________________________
+Double_t AliAnalysisTaskRhoVnModulation::QCnS(Int_t i, Int_t j) {
+ // get the weighted ij-th order autocorrelation correction
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ if(!fTracks || i <= 0 || j <= 0) return -999;
+ Int_t iTracks(fTracks->GetEntriesFast());
+ Double_t Sij(0);
+ for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
+ AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
+ if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
+ Sij+=TMath::Power(track->Pt(), j);
+ }
+ return TMath::Power(Sij, i);
+}
+//_____________________________________________________________________________
+Double_t AliAnalysisTaskRhoVnModulation::QCnM() {
+ // get multiplicity for unweighted q-cumulants. function QCnQnk should be called first
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ return (Double_t) fNAcceptedTracksQCn;
+}
+//_____________________________________________________________________________
+Double_t AliAnalysisTaskRhoVnModulation::QCnM11() {
+ // get multiplicity weights for the weighted two particle cumulant
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ return (QCnS(2,1) - QCnS(1,2));
+}
+//_____________________________________________________________________________
+Double_t AliAnalysisTaskRhoVnModulation::QCnM1111() {
+ // get multiplicity weights for the weighted four particle cumulant
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ return (QCnS(4,1)-6*QCnS(1,2)*QCnS(2,1)+8*QCnS(1,3)*QCnS(1,1)+3*QCnS(2,2)-6*QCnS(1,4));
+}
+//_____________________________________________________________________________
+Bool_t AliAnalysisTaskRhoVnModulation::QCnRecovery(Double_t psi2, Double_t psi3) {
+ // decides how to deal with the situation where c2 or c3 is negative
+ // returns kTRUE depending on whether or not a modulated rho is used for the jet background
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ if(TMath::AreEqualAbs(fFitModulation->GetParameter(3), .0, 1e-10) && TMath::AreEqualAbs(fFitModulation->GetParameter(7), .0,1e-10)) {
+ fFitModulation->SetParameter(7, 0);
+ fFitModulation->SetParameter(3, 0);
+ fFitModulation->SetParameter(0, fLocalRho->GetVal());
+ return kTRUE; // v2 and v3 have physical null values
+ }
+ switch (fQCRecovery) {
+ case kFixedRho : { // roll back to the original rho
+ fFitModulation->SetParameter(7, 0);
+ fFitModulation->SetParameter(3, 0);
+ fFitModulation->SetParameter(0, fLocalRho->GetVal());
+ return kFALSE; // rho is forced to be fixed
+ }
+ case kNegativeVn : {
+ Double_t c2(fFitModulation->GetParameter(3));
+ Double_t c3(fFitModulation->GetParameter(7));
+ if( c2 < 0 ) c2 = -1.*TMath::Sqrt(-1.*c2);
+ if( c3 < 0 ) c3 = -1.*TMath::Sqrt(-1.*c3);
+ fFitModulation->SetParameter(3, c2);
+ fFitModulation->SetParameter(7, c3);
+ return kTRUE; // is this a physical quantity ?
+ }
+ case kTryFit : {
+ fitModulationType tempType(fFitModulationType); // store temporarily
+ fFitModulationType = kCombined;
+ fFitModulation->SetParameter(7, 0);
+ fFitModulation->SetParameter(3, 0);
+ Bool_t pass(CorrectRho(psi2, psi3)); // do the fit and all quality checks
+ fFitModulationType = tempType; // roll back for next event
+ return pass;
+ }
+ default : return kFALSE;
+ }
+ return kFALSE;
+}
+//_____________________________________________________________________________
+Bool_t AliAnalysisTaskRhoVnModulation::CorrectRho(Double_t psi2, Double_t psi3)
{
// get rho' -> rho(phi)
- // two routines are available
- // [1] fitting a fourier expansion to the de/dphi distribution
- // [2] getting vn from a fourier series around dn/dphi (see below for info)
+ // two routines are available, both can be used with or without pt weights
+ // [1] get vn from q-cumulants or as an integrated value from a user supplied histogram
+ // in case of cumulants, both cumulants and vn values are stored. in both cases, v2 and v3
+ // are expected. a check is performed to see if rho has no negative local minimum
+ // for full description, see Phys. Rev. C 83, 044913
+ // since the cn distribution has negative values, vn = sqrt(cn) can be imaginary sometimes
+ // in this case one can either roll back to the 'original' rixed rho, do a fit for vn or take use
+ // vn = - sqrt(|cn|)
+ // [2] fitting a fourier expansion to the de/dphi distribution
+ // the fit can be done with either v2, v3 or a combination.
+ // in all cases, a cut can be made on the p-value of the chi-squared value of the fit
+ // and a check can be performed to see if rho has no negative local minimum
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ Int_t freeParams(2); // free parameters of the fit (for NDF)
+ switch (fFitModulationType) { // for approaches where no fitting is required
+ case kQC2 : {
+ fFitModulation->FixParameter(4, psi2);
+ fFitModulation->FixParameter(6, psi3);
+ fFitModulation->FixParameter(3, CalculateQC2(2)); // set here with cn, vn = sqrt(cn)
+ fFitModulation->FixParameter(7, CalculateQC2(3));
+ // first fill the histos of the raw cumulant distribution
+ if (fUsePtWeight) { // use weighted weights
+ Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11();
+ fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11);
+ fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11);
+ } else {
+ Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM();
+ fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1));
+ fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1));
+ }
+ // then see if one of the cn value is larger than zero and vn is readily available
+ if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) {
+ fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3)));
+ fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7)));
+ } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3
+ if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check
+ fFitModulation->SetParameter(7, 0);
+ fFitModulation->SetParameter(3, 0);
+ fFitModulation->SetParameter(0, fLocalRho->GetVal());
+ return kFALSE;
+ }
+ return kTRUE;
+ } break;
+ case kQC4 : {
+ fFitModulation->FixParameter(4, psi2);
+ fFitModulation->FixParameter(6, psi3);
+ fFitModulation->FixParameter(3, CalculateQC4(2)); // set here with cn, vn = sqrt(cn)
+ fFitModulation->FixParameter(7, CalculateQC4(3));
+ // first fill the histos of the raw cumulant distribution
+ if (fUsePtWeight) { // use weighted weights
+ fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/);
+ fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/);
+ } else {
+ fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/);
+ fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/);
+ }
+ // then see if one of the cn value is larger than zero and vn is readily available
+ if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) {
+ fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3)));
+ fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7)));
+ } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3
+ if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check
+ fFitModulation->SetParameter(7, 0);
+ fFitModulation->SetParameter(3, 0);
+ fFitModulation->SetParameter(0, fLocalRho->GetVal());
+ return kFALSE;
+ }
+ } break;
+ case kIntegratedFlow : {
+ // use v2 and v3 values from an earlier iteration over the data
+ fFitModulation->FixParameter(3, fUserSuppliedV2->GetBinContent(fUserSuppliedV2->GetXaxis()->FindBin(fCent)));
+ fFitModulation->FixParameter(4, psi2);
+ fFitModulation->FixParameter(6, psi3);
+ fFitModulation->FixParameter(7, fUserSuppliedV3->GetBinContent(fUserSuppliedV3->GetXaxis()->FindBin(fCent)));
+ if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) {
+ fFitModulation->SetParameter(7, 0);
+ fFitModulation->SetParameter(3, 0);
+ fFitModulation->SetParameter(0, fLocalRho->GetVal());
+ return kFALSE;
+ }
+ return kTRUE;
+ }
+ default : break;
+ }
TString detector("");
switch (fDetectorType) {
case kTPC : detector+="TPC";
break;
case kVZEROC : detector+="VZEROC";
break;
+ case kVZEROComb : detector+="VZEROComb";
+ break;
default: break;
}
Int_t iTracks(fTracks->GetEntriesFast());
- if(iTracks <= 0 || RhoVal() <= 0 ) return; // no use fitting an empty event ...
- fHistSwap->Reset(); // clear the histogram
+ Double_t excludeInEta = -999;
+ Double_t excludeInPhi = -999;
+ Double_t excludeInPt = -999;
+ if(iTracks <= 0 || fLocalRho->GetVal() <= 0 ) return kFALSE; // no use fitting an empty event ...
+ if(fExcludeLeadingJetsFromFit > 0 ) {
+ if(fLeadingJet) {
+ excludeInEta = fLeadingJet->Eta();
+ excludeInPhi = fLeadingJet->Phi();
+ excludeInPt = fLeadingJet->Pt();
+ }
+ }
+ // check the acceptance of the track selection that will be used
+ // if one uses e.g. semi-good tpc tracks, accepance in phi is reduced to 0 < phi < 4
+ // the defaults (-10 < phi < 10) which accept all, are then overwritten
+ Double_t lowBound(0.), upBound(TMath::TwoPi()); // bounds for fit
+ if(GetParticleContainer()->GetParticlePhiMin() > lowBound) lowBound = GetParticleContainer()->GetParticlePhiMin();
+ if(GetParticleContainer()->GetParticlePhiMax() < upBound) upBound = GetParticleContainer()->GetParticlePhiMax();
+
+ fHistSwap->Reset(); // clear the histogram
+ TH1F _tempSwap; // on stack for quick access
+ TH1F _tempSwapN; // on stack for quick access, bookkeeping histogram
+ if(fRebinSwapHistoOnTheFly) {
+ if(fNAcceptedTracks < 49) fNAcceptedTracks = 49; // avoid aliasing effects
+ _tempSwap = TH1F("_tempSwap", "_tempSwap", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), lowBound, upBound);
+ if(fUsePtWeightErrorPropagation) _tempSwapN = TH1F("_tempSwapN", "_tempSwapN", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), lowBound, upBound);
+ if(fUsePtWeight) _tempSwap.Sumw2();
+ }
+ else _tempSwap = *fHistSwap; // now _tempSwap holds the desired histo
+ // non poissonian error when using pt weights
+ Double_t totalpts(0.), totalptsquares(0.), totalns(0.);
for(Int_t i(0); i < iTracks; i++) {
AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
- if(!PassesCuts(track) || track->Pt() > 5 || track->Pt() < 0.15) continue;
- fHistSwap->Fill(track->Phi(), track->Pt());
+ 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());
}
- fFitModulation->SetParameter(0, RhoVal());
+ if(fUsePtWeight && fUsePtWeightErrorPropagation) {
+ // in the case of pt weights overwrite the poissonian error estimate which is assigned by root by a more sophisticated appraoch
+ // the assumption here is that the bin error will be dominated by the uncertainty in the mean pt in a bin and in the uncertainty
+ // of the number of tracks in a bin, the first of which will be estimated from the sample standard deviation of all tracks in the
+ // event, for the latter use a poissonian estimate. the two contrubitions are assumed to be uncorrelated
+ if(totalns < 1) return kFALSE; // not one track passes the cuts
+ for(Int_t l = 0; l < _tempSwap.GetNbinsX(); l++) {
+ if(_tempSwapN.GetBinContent(l+1) == 0) {
+ _tempSwap.SetBinContent(l+1,0);
+ _tempSwap.SetBinError(l+1,0);
+ }
+ else {
+ Double_t vartimesnsq = totalptsquares*totalns - totalpts*totalpts;
+ Double_t variance = vartimesnsq/(totalns*(totalns-1.));
+ Double_t SDOMSq = variance / _tempSwapN.GetBinContent(l+1);
+ Double_t SDOMSqOverMeanSq = SDOMSq * _tempSwapN.GetBinContent(l+1) * _tempSwapN.GetBinContent(l+1) / (_tempSwapN.GetBinContent(l+1) * _tempSwapN.GetBinContent(l+1));
+ Double_t poissonfrac = 1./_tempSwapN.GetBinContent(l+1);
+ Double_t vartotalfrac = SDOMSqOverMeanSq + poissonfrac;
+ Double_t vartotal = vartotalfrac * _tempSwap.GetBinContent(l+1) * _tempSwap.GetBinContent(l+1);
+ if(vartotal > 0.0001) _tempSwap.SetBinError(l+1,TMath::Sqrt(vartotal));
+ else {
+ _tempSwap.SetBinContent(l+1,0);
+ _tempSwap.SetBinError(l+1,0);
+ }
+ }
+ }
+ }
+
+ fFitModulation->SetParameter(0, fLocalRho->GetVal());
switch (fFitModulationType) {
- case kNoFit : { fFitModulation->FixParameter(0, RhoVal() ); }
+ case kNoFit : {
+ fFitModulation->FixParameter(0, fLocalRho->GetVal() );
+ freeParams = 0;
+ } break;
case kV2 : {
fFitModulation->FixParameter(4, psi2);
+ freeParams = 1;
} break;
case kV3 : {
fFitModulation->FixParameter(4, psi3);
+ freeParams = 1;
} break;
- case kCombined : {
+ case kCombined : {
fFitModulation->FixParameter(4, psi2);
fFitModulation->FixParameter(6, psi3);
+ freeParams = 2;
} break;
case kFourierSeries : {
// in this approach, an explicit calculation will be made of vn = sqrt(xn^2+yn^2)
Double_t cos2(0), sin2(0), cos3(0), sin3(0), sumPt(0);
for(Int_t i(0); i < iTracks; i++) {
AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
- if(!PassesCuts(track) || track->Pt() > 5 || track->Pt() < 0.15) continue;
+ if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
sumPt += track->Pt();
cos2 += track->Pt()*TMath::Cos(2*PhaseShift(track->Phi()-psi2));
sin2 += track->Pt()*TMath::Sin(2*PhaseShift(track->Phi()-psi2));
cos3 += track->Pt()*TMath::Cos(3*PhaseShift(track->Phi()-psi3));
sin3 += track->Pt()*TMath::Sin(3*PhaseShift(track->Phi()-psi3));
}
- fFitModulation->SetParameter(3, TMath::Sqrt(cos2*cos2+sin2*sin2)/RhoVal());
+ fFitModulation->SetParameter(3, TMath::Sqrt(cos2*cos2+sin2*sin2)/fLocalRho->GetVal());
fFitModulation->SetParameter(4, psi2);
fFitModulation->SetParameter(6, psi3);
- fFitModulation->SetParameter(7, TMath::Sqrt(cos3*cos3+sin3*sin3)/RhoVal());
- }
+ fFitModulation->SetParameter(7, TMath::Sqrt(cos3*cos3+sin3*sin3)/fLocalRho->GetVal());
+ } break;
default : break;
}
- fHistSwap->Fit(fFitModulation, fFitModulationOptions.Data(), "", 0, TMath::TwoPi());
- if(ChiSquare(fFitModulation->GetNDF(), fFitModulation->GetChisquare()) <= fMinPvalue) { // if we don't trust the fit
- switch (fFitModulationType) {
- case kNoFit : break; // nothing to do
- case kUser : break; // FIXME not implemented yet
- case kCombined : fFitModulation->SetParameter(7, 0); // no break
- default : { // needs to be done if there was a fit
- fFitModulation->SetParameter(3, 0);
- fFitModulation->SetParameter(0, RhoVal());
+ if(fRunToyMC) {
+ // toy mc, just here to check procedure, azimuthal profile is filled from hypothesis so p-value distribution should be flat
+ Int_t _bins = _tempSwap.GetXaxis()->GetNbins();
+ TF1* _tempFit = new TF1("temp_fit_kCombined", "[0]*([1]+[2]*([3]*TMath::Cos([2]*(x-[4]))+[7]*TMath::Cos([5]*(x-[6]))))", 0, TMath::TwoPi());
+ _tempFit->SetParameter(0, fFitModulation->GetParameter(0)); // normalization
+ _tempFit->SetParameter(3, 0.1); // v2
+ _tempFit->FixParameter(1, 1.); // constant
+ _tempFit->FixParameter(2, 2.); // constant
+ _tempFit->FixParameter(5, 3.); // constant
+ _tempFit->FixParameter(4, fFitModulation->GetParameter(4));
+ _tempFit->FixParameter(6, fFitModulation->GetParameter(6));
+ _tempFit->SetParameter(7, 0.1); // v3
+ _tempSwap.Reset(); // rese bin content
+ for(int _binsI = 0; _binsI < _bins*_bins; _binsI++) _tempSwap.Fill(_tempFit->GetRandom());
+ }
+ _tempSwap.Fit(fFitModulation, fFitModulationOptions.Data(), "", lowBound, upBound);
+ // the quality of the fit is evaluated from 1 - the cdf of the chi square distribution
+ // three methods are available, all with their drawbacks. all are stored, one is selected to do the cut
+ Int_t NDF(_tempSwap.GetXaxis()->GetNbins()-freeParams);
+ if(NDF == 0) return kFALSE;
+ Double_t CDF(1.-ChiSquareCDF(NDF, ChiSquare(_tempSwap, fFitModulation)));
+ Double_t CDFROOT(1.-ChiSquareCDF(NDF, fFitModulation->GetChisquare()));
+ Double_t CDFKolmogorov(KolmogorovTest(_tempSwap, fFitModulation));
+ // fill the values and centrality correlation (redundant but easy on the eyes)
+ fHistPvalueCDF->Fill(CDF);
+ fHistPvalueCDFCent->Fill(fCent, CDF);
+ fHistPvalueCDFROOT->Fill(CDFROOT);
+ fHistPvalueCDFROOTCent->Fill(fCent, CDFROOT);
+ fHistKolmogorovTest->Fill(CDFKolmogorov);
+ fHistChi2ROOTCent->Fill(fCent, fFitModulation->GetChisquare()/((float)NDF));
+ fHistChi2Cent->Fill(fCent, ChiSquare(_tempSwap, fFitModulation)/((float)NDF));
+ fHistKolmogorovTestCent->Fill(fCent, CDFKolmogorov);
+ fHistPChi2Root->Fill(CDFROOT, fFitModulation->GetChisquare()/((float)NDF));
+ fHistPChi2->Fill(CDF, ChiSquare(_tempSwap, fFitModulation)/((float)NDF));
+ fHistPKolmogorov->Fill(CDF, CDFKolmogorov);
+
+ // variable CDF is used for making cuts, so we fill it with the selected p-value
+ switch (fFitGoodnessTest) {
+ case kChi2ROOT : {
+ CDF = CDFROOT;
+ } break;
+ case kChi2Poisson : break; // CDF is already CDF
+ case kKolmogorov : {
+ CDF = CDFKolmogorov;
+ } break;
+ default: break;
+ }
+
+ if(fFitControl) {
+ // as an additional quality check, see if fitting a control fit has a higher significance
+ _tempSwap.Fit(fFitControl, fFitModulationOptions.Data(), "", lowBound, upBound);
+ Double_t CDFControl(-1.);
+ switch (fFitGoodnessTest) {
+ case kChi2ROOT : {
+ CDFControl = 1.-ChiSquareCDF(fFitControl->GetNDF(), fFitModulation->GetChisquare());
+ } break;
+ case kChi2Poisson : {
+ CDFControl = 1.-ChiSquareCDF(fFitControl->GetNDF(), ChiSquare(_tempSwap, fFitModulation));
} break;
+ case kKolmogorov : {
+ CDFControl = KolmogorovTest(_tempSwap, fFitControl);
+ } break;
+ default: break;
+ }
+ if(CDFControl > CDF) {
+ CDF = -1.; // control fit is more significant, so throw out the 'old' fit
+ fHistRhoStatusCent->Fill(fCent, -1);
}
}
- for(Int_t i(0); i < fFitModulation->GetNpar(); i++) params[i] = fFitModulation->GetParameter(i);
- // for LOCAL didactic purposes, save the best and the worst fits
- // this routine can produce a lot of output histograms and will not work on GRID
- // since the output will become unmergeable (i.e. different nodes may produce conflicting output)
- switch (fRunModeType) {
- case kLocal : {
- static Int_t didacticCounterBest(0);
- static Int_t didacticCounterWorst(0);
- static Double_t bestFitP(.05); // threshold for significance
- static Double_t worstFitP(.05);
- Double_t p(ChiSquare(fFitModulation->GetNDF(), fFitModulation->GetChisquare()));
- if(p > bestFitP || p > 0.12) {
- TProfile* didacticProfile = (TProfile*)fHistSwap->Clone(Form("Fit_%i_p_%.3f_cen_%i_%s", didacticCounterBest, p, fInCentralitySelection, detector.Data()));
- TF1* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_p_%.3f_cen_%i_%s", didacticCounterBest, p, fInCentralitySelection, detector.Data()));
- didacticProfile->GetListOfFunctions()->Add(didactifFit);
+ if(CDF >= fMinPvalue && CDF <= fMaxPvalue && ( fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) > 0)) { // fit quality. not that although with limited acceptance the fit is performed on just
+ // part of phase space, the requirement that energy desntiy is larger than zero is applied
+ // to the FULL spectrum
+ fHistRhoStatusCent->Fill(fCent, 0.);
+ // for LOCAL didactic purposes, save the best and the worst fits
+ // this routine can produce a lot of output histograms (it's not memory 'safe') and will not work on GRID
+ // since the output will become unmergeable (i.e. different nodes may produce conflicting output)
+ switch (fRunModeType) {
+ case kLocal : {
+ if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
+ static Int_t didacticCounterBest(0);
+ TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
+ TF1* didacticFit = (TF1*)fFitModulation->Clone(Form("fit_%i_CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
+ switch(fFitModulationType) {
+ case kCombined : {
+ // to make a nice picture also plot the separate components (v2 and v3) of the fit
+ // only done for cobined fit where there are actually components to split ...
+ TF1* v0(new TF1("dfit_kV2", "[0]", 0, TMath::TwoPi()));
+ v0->SetParameter(0, didacticFit->GetParameter(0)); // normalization
+ v0->SetLineColor(kMagenta);
+ v0->SetLineStyle(7);
+ didacticProfile->GetListOfFunctions()->Add(v0);
+ TF1* v2(new TF1("dfit_kV2", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
+ v2->SetParameter(0, didacticFit->GetParameter(0)); // normalization
+ v2->SetParameter(3, didacticFit->GetParameter(3)); // v2
+ v2->FixParameter(1, 1.); // constant
+ v2->FixParameter(2, 2.); // constant
+ v2->FixParameter(4, didacticFit->GetParameter(4)); // psi2
+ v2->SetLineColor(kGreen);
+ didacticProfile->GetListOfFunctions()->Add(v2);
+ TF1* v3(new TF1("dfit_kV3", "[0]*([1]+[2]*[3]*TMath::Cos([5]*(x-[4])))", 0, TMath::TwoPi()));
+ v3->SetParameter(0, didacticFit->GetParameter(0)); // normalization
+ v3->SetParameter(3, didacticFit->GetParameter(7)); // v3
+ v3->FixParameter(1, 1.); // constant
+ v3->FixParameter(2, 2.); // constant
+ v3->FixParameter(4, didacticFit->GetParameter(6)); // psi3
+ v3->FixParameter(5, 3.); // constant
+ v3->SetLineColor(kCyan);
+ didacticProfile->GetListOfFunctions()->Add(v3);
+ }
+ default : break;
+ }
+ didacticProfile->GetListOfFunctions()->Add(didacticFit);
+ didacticProfile->GetYaxis()->SetTitle("#frac{d #sum #it{p}_{T}}{d #varphi} [GeV/#it{c}]");
+ didacticProfile->GetXaxis()->SetTitle("#varphi");
fOutputListGood->Add(didacticProfile);
didacticCounterBest++;
- bestFitP = p;
- }
- else if(p < worstFitP) {
- TProfile* didacticProfile = (TProfile*)fHistSwap->Clone(Form("Fit_%i_p_%.3f_cen_%i_%s", didacticCounterWorst, p, fInCentralitySelection, detector.Data() ));
- TF1* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_p_%.3f_cen_%i_%s", didacticCounterWorst, p, fInCentralitySelection, detector.Data()));
- didacticProfile->GetListOfFunctions()->Add(didactifFit);
+ TH2F* didacticSurface = BookTH2F(Form("surface_%s", didacticProfile->GetName()), "#phi", "#eta", 50, 0, TMath::TwoPi(), 50, -1, 1, -1, kFALSE);
+ for(Int_t i(0); i < iTracks; i++) {
+ AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
+ if(PassesCuts(track)) {
+ if(fUsePtWeight) didacticSurface->Fill(track->Phi(), track->Eta(), track->Pt());
+ else didacticSurface->Fill(track->Phi(), track->Eta());
+ }
+ }
+ if(fExcludeLeadingJetsFromFit) { // visualize the excluded region
+ TF2 *f2 = new TF2(Form("%s_LJ", didacticSurface->GetName()),"[0]*TMath::Gaus(x,[1],[2])*TMath::Gaus(y,[3],[4])", 0, TMath::TwoPi(), -1, 1);
+ f2->SetParameters(excludeInPt/3.,excludeInPhi,.1,excludeInEta,.1);
+ didacticSurface->GetListOfFunctions()->Add(f2);
+ }
+ fOutputListGood->Add(didacticSurface);
+ } break;
+ default : break;
+ }
+ } else { // if the fit is of poor quality revert to the original rho estimate
+ switch (fRunModeType) { // again see if we want to save the fit
+ case kLocal : {
+ static Int_t didacticCounterWorst(0);
+ if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
+ TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data() ));
+ TF1* didacticFit = (TF1*)fFitModulation->Clone(Form("fit_%i_p_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data()));
+ didacticProfile->GetListOfFunctions()->Add(didacticFit);
fOutputListBad->Add(didacticProfile);
didacticCounterWorst++;
- worstFitP = p;
- }
- } break;
- default : break;
+ } break;
+ default : break;
+ }
+ switch (fFitModulationType) {
+ case kNoFit : break; // nothing to do
+ case kCombined : fFitModulation->SetParameter(7, 0); // no break
+ case kFourierSeries : fFitModulation->SetParameter(7, 0); // no break
+ default : { // needs to be done if there was a poor fit
+ fFitModulation->SetParameter(3, 0);
+ fFitModulation->SetParameter(0, fLocalRho->GetVal());
+ } break;
+ }
+ if(CDF > -.5) fHistRhoStatusCent->Fill(fCent, 1.);
+ return kFALSE; // return false if the fit is rejected
}
+ return kTRUE;
}
//_____________________________________________________________________________
Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(AliVEvent* event)
{
// event cuts
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- if(!event) return kFALSE;
+ // determine the run number to see if the track and jet cuts should be refreshed for semi-good TPC runs
+ // only done if the runnumber changes, could be moved to a call to AliAnalysisTaskSE::Notify()
+ if(fRunNumber != InputEvent()->GetRunNumber()) {
+ fRunNumber = InputEvent()->GetRunNumber(); // set the current run number
+ if(fDebug > 0) printf("__FUNC__ %s > NEW RUNNUMBER DETECTED \n ", __func__);
+ // reset the cuts. should be a pointless operation except for the case where the run number changes
+ // from semi-good back to good on one node, which is not a likely scenario
+ AliAnalysisTaskEmcal::SetTrackPhiLimits(-10., 10.);
+ AliAnalysisTaskEmcalJet::SetJetPhiLimits(-10., 10.);
+ if(fCachedRho) { // if there's a cached rho, it's the default, so switch back
+ if(fDebug > 0) printf("__FUNC__ %s > replacing rho with cached rho \n ", __func__);
+ fRho = fCachedRho; // reset rho back to cached value. again, should be pointless
+ }
+ Bool_t flaggedAsSemiGood(kFALSE); // not flagged as anything
+ for(Int_t i(0); i < fExpectedSemiGoodRuns->GetSize(); i++) {
+ if(fExpectedSemiGoodRuns->At(i) == fRunNumber) { // run is semi-good
+ if(fDebug > 0) printf("__FUNC__ %s > semi-good tpc run detected, adjusting acceptance \n ", __func__);
+ flaggedAsSemiGood = kTRUE;
+ AliAnalysisTaskEmcalJet::SetJetPhiLimits(fSemiGoodJetMinPhi, fSemiGoodJetMaxPhi); // just an acceptance cut, jets are obtained from full azimuth, so no edge effects
+ AliAnalysisTaskEmcal::SetTrackPhiLimits(fSemiGoodTrackMinPhi, fSemiGoodTrackMaxPhi); // only affects vn extraction, NOT jet finding
+ // for semi-good runs, also try to get the 'small rho' estimate, if it is available
+ AliRhoParameter* tempRho(dynamic_cast<AliRhoParameter*>(InputEvent()->FindListObject(fNameSmallRho.Data())));
+ if(tempRho) {
+ if(fDebug > 0) printf("__FUNC__ %s > switching to small rho, caching normal rho \n ", __func__);
+ fHistAnalysisSummary->SetBinContent(54, 1.); // bookkeep the fact that small rho is used
+ fCachedRho = fRho; // cache the original rho ...
+ fRho = tempRho; // ... and use the small rho
+ }
+ }
+ }
+ if(!flaggedAsSemiGood) {
+ // in case the run is not a semi-good run, check if it is recognized as another run
+ // only done to catch unexpected runs
+ for(Int_t i(0); i < fExpectedRuns->GetSize(); i++) {
+ if(fExpectedRuns->At(i) == fRunNumber) break; // run is known, break the loop else store the number in a random bin
+ fHistUndeterminedRunQA->SetBinContent(TMath::Nint(10.*gRandom->Uniform(0.,.9))+1, fRunNumber);
+ }
+ fHistAnalysisSummary->SetBinContent(53, 1.); // bookkeep which rho estimate is used
+ }
+ }
+ // continue with event selection
+ if(!event || !AliAnalysisTaskEmcal::IsEventSelected()) return kFALSE;
+ if(fSemiCentralInclusive && ! (event->GetTriggerMask() & (ULong64_t(1)<<7))) return kFALSE;
if(TMath::Abs(InputEvent()->GetPrimaryVertex()->GetZ()) > 10.) return kFALSE;
// aod and esd specific checks
switch (fDataType) {
default: break;
}
fCent = InputEvent()->GetCentrality()->GetCentralityPercentile("V0M");
- if(fCent <= 0 || fCent >= 100 || TMath::Abs(fCent-InputEvent()->GetCentrality()->GetCentralityPercentile("TRK")) > 5.) return kFALSE;
+ if(fCent <= fCentralityClasses->At(0) || fCent >= fCentralityClasses->At(fCentralityClasses->GetSize()-1) || TMath::Abs(fCent-InputEvent()->GetCentrality()->GetCentralityPercentile("TRK")) > 5.) return kFALSE;
// determine centrality class
+ fInCentralitySelection = -1;
for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
- if(fCent > fCentralityClasses->At(i) && fCent < fCentralityClasses->At(1+i)) {
+ if(fCent >= fCentralityClasses->At(i) && fCent <= fCentralityClasses->At(1+i)) {
fInCentralitySelection = i;
break; }
}
- if(fFillQAHistograms) FillQAHistograms(event);
- return kTRUE;
-}
-//_____________________________________________________________________________
-Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(const AliVCluster* cluster) const
-{
- // cluster cuts
- if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- if(!cluster) return kFALSE;
+ 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;
+ if(fAnalysisType == AliAnalysisTaskRhoVnModulation::kCharged && !fClusterCont) return kFALSE;
return kTRUE;
}
//_____________________________________________________________________________
-Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(const AliEmcalJet* jet) const
+Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(Int_t year)
{
- // jet cuts
- if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- if(!jet) return kFALSE;
- if(TMath::Abs(jet->Eta()) > .5) return kFALSE;
- return kTRUE;
+ // 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 AliAnalysisTaskRhoVnModulation::FillHistogramsAfterSubtraction(Double_t vzero[2][2], Double_t* tpc) const
+void AliAnalysisTaskRhoVnModulation::FillHistogramsAfterSubtraction(Double_t psi2, Double_t psi3, Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc)
{
// fill histograms
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
FillTrackHistograms();
- /* FillClusterHistograms(); */
- FillJetHistograms(vzero, tpc);
- /* FillCorrectedClusterHistograms(); */
- FillEventPlaneHistograms(vzero, tpc);
+ FillClusterHistograms();
+ FillJetHistograms(psi2, psi3);
+ if(fFillQAHistograms) FillEventPlaneHistograms(vzero, vzeroComb, tpc);
FillRhoHistograms();
- FillDeltaPtHistograms(tpc);
- FillDeltaPhiHistograms(vzero, tpc);
+ FillDeltaPtHistograms(psi2, psi3);
}
//_____________________________________________________________________________
void AliAnalysisTaskRhoVnModulation::FillTrackHistograms() const
{
// fill track histograms
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- Int_t iTracks(fTracks->GetEntriesFast());
+ 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());
if(fFillQAHistograms) FillQAHistograms(track);
}
- return;
+ fHistPicoTrackMult[fInCentralitySelection]->Fill(iAcceptedTracks);
}
//_____________________________________________________________________________
void AliAnalysisTaskRhoVnModulation::FillClusterHistograms() const
{
// fill cluster histograms
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- /* Int_t iClusters(fCaloClusters->GetEntriesFast());
+ if(!fClusterCont) return;
+ Int_t iClusters(fClusterCont->GetNClusters());
for(Int_t i(0); i < iClusters; i++) {
- AliVCluster* cluster = static_cast<AliVCluster*>(fCaloClusters->At(iClusters));
+ AliVCluster* cluster = fClusterCont->GetCluster(i);
if (!PassesCuts(cluster)) continue;
TLorentzVector clusterLorentzVector;
cluster->GetMomentum(clusterLorentzVector, const_cast<Double_t*>(fVertex));
fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt());
- fHistClusterEta[fInCentralitySelection]->Fill(clusterLorentzVector.Eta());
- fHistClusterPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Phi());
+ fHistClusterEtaPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi());
+ fHistClusterEtaPhiWeighted[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), clusterLorentzVector.Pt());
}
- return; */
-}
-//_____________________________________________________________________________
-void AliAnalysisTaskRhoVnModulation::FillCorrectedClusterHistograms() const
-{
- // fill clusters after hadronic correction FIXME implement
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
return;
}
//_____________________________________________________________________________
-void AliAnalysisTaskRhoVnModulation::FillEventPlaneHistograms(Double_t vzero[2][2], Double_t* tpc) const
+void AliAnalysisTaskRhoVnModulation::FillEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const
{
// fill event plane histograms
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- fHistPsi2->Fill(0.5, vzero[0][0]);
- fHistPsi2->Fill(1.5, vzero[1][0]);
- fHistPsi2->Fill(2.5, tpc[0]);
+ 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]);
- fHistPsi2Spread->Fill(0.5, vzero[0][0]-vzero[1][0]);
- fHistPsi2Spread->Fill(1.5, vzero[0][0]-tpc[0]);
- fHistPsi2Spread->Fill(2.5, vzero[1][0]-tpc[0]);
- return;
+ fHistPsiSpread->Fill(0.5, TMath::Abs(vzero[0][0]-vzero[1][0]));
+ fHistPsiSpread->Fill(1.5, TMath::Abs(vzero[0][0]-tpc[0]));
+ fHistPsiSpread->Fill(2.5, TMath::Abs(vzero[1][0]-tpc[0]));
+ // event plane vs centrality QA histo's to check recentering
+ Double_t TRK(InputEvent()->GetCentrality()->GetCentralityPercentile("TRK"));
+ Double_t V0M(InputEvent()->GetCentrality()->GetCentralityPercentile("V0M"));
+ fHistPsiVZEROAV0M->Fill(V0M, vzero[0][0]);
+ fHistPsiVZEROCV0M->Fill(V0M, vzero[1][0]);
+ fHistPsiVZEROVV0M->Fill(V0M, vzeroComb[0]);
+ fHistPsiTPCiV0M->Fill(V0M, tpc[0]);
+ fHistPsiVZEROATRK->Fill(TRK, vzero[0][0]);
+ fHistPsiVZEROCTRK->Fill(TRK, vzero[1][0]);
+ fHistPsiVZEROTRK->Fill(TRK, vzeroComb[0]);
+ fHistPsiTPCTRK->Fill(TRK, tpc[0]);
}
//_____________________________________________________________________________
-void AliAnalysisTaskRhoVnModulation::FillRhoHistograms() const
+void AliAnalysisTaskRhoVnModulation::FillRhoHistograms()
{
// fill rho histograms
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- fHistRhoPackage[fInCentralitySelection]->Fill(RhoVal()); // save the rho estimate from the emcal jet package
+ fHistRhoPackage[fInCentralitySelection]->Fill(fLocalRho->GetVal()); // save the rho estimate from the emcal jet package
// get multiplicity FIXME inefficient
- Int_t iTracks(fTracks->GetEntriesFast()), mult(0), iJets(fJets->GetEntriesFast());
- for(Int_t i(0); i < iTracks; i ++) { if(PassesCuts(static_cast<AliVTrack*>(fTracks->At(i)))) mult++; }
- Double_t rho(RhoVal(TMath::Pi(), TMath::Pi(), fRho->GetVal()));
+ Int_t iJets(fJets->GetEntriesFast());
+ Double_t rho(fLocalRho->GetLocalVal(TMath::Pi(), TMath::Pi(), fLocalRho->GetVal()));
fHistRho[fInCentralitySelection]->Fill(rho);
- fHistRhoVsMult->Fill(mult, rho);
+ fHistRhoVsMult->Fill(fTracks->GetEntries(), rho);
fHistRhoVsCent->Fill(fCent, rho);
for(Int_t i(0); i < iJets; i++) {
AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
if(!PassesCuts(jet)) continue;
- fHistRhoAVsMult->Fill(mult, rho * jet->Area());
+ fHistRhoAVsMult->Fill(fTracks->GetEntries(), rho * jet->Area());
fHistRhoAVsCent->Fill(fCent, rho * jet->Area());
}
- return;
}
//_____________________________________________________________________________
-void AliAnalysisTaskRhoVnModulation::FillDeltaPtHistograms(Double_t* tpc) const
+void AliAnalysisTaskRhoVnModulation::FillDeltaPtHistograms(Double_t psi2, Double_t psi3) const
{
// fill delta pt histograms
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- static Int_t sJets[9999] = {-1};
- GetSortedArray(sJets, fJets);
-// if(sJets[0] <= 0) return;
- Int_t i(0), maxCones(20);
- AliEmcalJet* leadingJet(0x0);
- do { // get the leading jet
- leadingJet = static_cast<AliEmcalJet*>(fJets->At(sJets[i]));
- i++;
- }
- while (!PassesCuts(leadingJet)&&i<fJets->GetEntriesFast());
- if(!leadingJet && fDebug > 0) printf(" > failed to retrieve leading jet ! < \n");
+ Int_t i(0);
const Float_t areaRC = fRandomConeRadius*fRandomConeRadius*TMath::Pi();
// we're retrieved the leading jet, now get a random cone
- for(i = 0; i < maxCones; i++) {
+ for(i = 0; i < fMaxCones; i++) {
Float_t pt(0), eta(0), phi(0);
// get a random cone without constraints on leading jet position
CalculateRandomCone(pt, eta, phi, 0x0);
if(pt > 0) {
- fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta);
- fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, RhoVal(phi, fJetRadius, fRho->GetVal())*areaRC);
+ if(fFillQAHistograms) fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta);
+ fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC);
fHistRCPt[fInCentralitySelection]->Fill(pt);
- fHistDeltaPtDeltaPhi[fInCentralitySelection]->Fill(PhaseShift(phi-tpc[0]), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
+ fHistDeltaPtDeltaPhi2[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
+ fHistDeltaPtDeltaPhi3[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
}
// get a random cone excluding leading jet area
- CalculateRandomCone(pt, eta, phi, leadingJet);
+ CalculateRandomCone(pt, eta, phi, fLeadingJet);
if(pt > 0) {
- fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta);
- fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, RhoVal(phi, fJetRadius, fRho->GetVal())*areaRC);
+ if(fFillQAHistograms) fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta);
+ fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC);
fHistRCPtExLJ[fInCentralitySelection]->Fill(pt);
- fHistDeltaPtDeltaPhiExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-tpc[0]), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
- }
- // get a random cone in an event with randomized phi and eta
- CalculateRandomCone(pt, eta, phi, 0x0, kTRUE);
- if( pt > 0) {
- fHistRCPhiEtaRand[fInCentralitySelection]->Fill(phi, eta);
- fHistRhoVsRCPtRand[fInCentralitySelection]->Fill(pt, RhoVal(phi, fJetRadius, fRho->GetVal())*areaRC);
- fHistRCPtRand[fInCentralitySelection]->Fill(pt);
- fHistDeltaPtDeltaPhiRand[fInCentralitySelection]->Fill(PhaseShift(phi-tpc[0]), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
+ fHistDeltaPtDeltaPhi2ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
+ fHistDeltaPtDeltaPhi3ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
}
}
}
//_____________________________________________________________________________
-void AliAnalysisTaskRhoVnModulation::FillJetHistograms(Double_t vzero[2][2], Double_t* tpc) const
+void AliAnalysisTaskRhoVnModulation::FillJetHistograms(Double_t psi2, Double_t psi3)
{
// fill jet histograms
if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
Int_t iJets(fJets->GetEntriesFast());
for(Int_t i(0); i < iJets; i++) {
AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
- if(!PassesCuts(jet)) continue;
- Double_t pt(jet->Pt()), area(jet->Area()), eta(jet->Eta()), phi(jet->Phi());
- Double_t rho(RhoVal(phi, fJetRadius, fRho->GetVal()));
- fHistJetPtRaw[fInCentralitySelection]->Fill(pt);
- fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho);
- fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi);
- fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area);
- Double_t dPhiA = PhaseShift(phi-vzero[0][0]);
- Double_t dPhiC = PhaseShift(phi-vzero[1][0]);
- Double_t dPhiTPC = PhaseShift(phi-tpc[0]);
- fHistJetPsiTPCPt[fInCentralitySelection]->Fill(dPhiTPC, pt-area*rho);
- fHistJetPsiVZEROAPt[fInCentralitySelection]->Fill(dPhiA, pt-area*rho);
- fHistJetPsiVZEROCPt[fInCentralitySelection]->Fill(dPhiC, pt-area*rho);
- fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->Nch());
+ 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);
+ fHistJetPsi3Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt-area*rho);
+ fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->Nch());
+ fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area);
+ if(fSubtractJetPt) jet->SetPtSub(pt-area*rho); // if requested, save the subtracted jet pt
+ } else if(fSubtractJetPt) jet->SetPtSub(-999.);
}
}
//_____________________________________________________________________________
-void AliAnalysisTaskRhoVnModulation::FillDeltaPhiHistograms(Double_t vzero[2][2], Double_t* tpc) const
-{
- // fill phi minus psi histograms
- if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- if(fTracks) {
- Int_t iTracks(fTracks->GetEntriesFast());
- for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
- AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
- if(!PassesCuts(track)) continue;
- fHistDeltaPhiVZEROA[fInCentralitySelection]->Fill(PhaseShift(track->Phi()-vzero[0][0]));
- fHistDeltaPhiVZEROC[fInCentralitySelection]->Fill(PhaseShift(track->Phi()-vzero[1][0]));
- fHistDeltaPhiTPC[fInCentralitySelection]->Fill(PhaseShift(track->Phi()-tpc[0]));
- }
- }
-}
-//_____________________________________________________________________________
void AliAnalysisTaskRhoVnModulation::FillQAHistograms(AliVTrack* vtrack) const
{
// fill qa histograms for pico tracks
AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack);
fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi());
fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta());
- if(!track) return;
Int_t type((int)(track->GetTrackType()));
switch (type) {
case 0:
fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ());
fHistCentrality->Fill(fCent);
Int_t runNumber(InputEvent()->GetRunNumber());
- Int_t runs[] = {167813, 167988, 168066, 168068, 168069, 168076, 168104, 168212, 168311, 168322, 168325, 168341, 168361, 168362, 168458, 168460, 168461, 168992, 169091, 169094, 169138, 169143, 169167, 169417, 169835, 169837, 169838, 169846, 169855, 169858, 169859, 169923, 169956, 170027, 170036, 170081, 169975, 169981, 170038, 170040, 170083, 170084, 170085, 170088, 170089, 170091, 170152, 170155, 170159, 170163, 170193, 170195, 170203, 170204, 170205, 170228, 170230, 170264, 170268, 170269, 170270, 170306, 170308, 170309};
- for(fMappedRunNumber = 0; fMappedRunNumber < 65; fMappedRunNumber++) {
- if(runs[fMappedRunNumber]==runNumber) break;
+ for(fMappedRunNumber = 0; fExpectedRuns->GetSize()+1; fMappedRunNumber++) {
+ if(fExpectedRuns->At(fMappedRunNumber) == runNumber) break;
}
}
//_____________________________________________________________________________
+void AliAnalysisTaskRhoVnModulation::FillAnalysisSummaryHistogram() const
+{
+ // fill the analysis summary histrogram, saves all relevant analysis settigns
+ if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(2, "fJetRadius");
+ fHistAnalysisSummary->SetBinContent(2, GetJetContainer()->GetJetRadius());
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(3, "fJetEtaMin");
+ fHistAnalysisSummary->SetBinContent(3, GetJetContainer()->GetJetEtaMin());
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(4, "fJetEtaMax");
+ fHistAnalysisSummary->SetBinContent(4, GetJetContainer()->GetJetEtaMax());
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(5, "fJetPhiMin");
+ fHistAnalysisSummary->SetBinContent(5, GetJetContainer()->GetJetPhiMin());
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(6, "fJetPhiMax");
+ fHistAnalysisSummary->SetBinContent(6, GetJetContainer()->GetJetPhiMin());
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(16, "fForceBeamType");
+ fHistAnalysisSummary->SetBinContent(16, fForceBeamType);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(17, "fMinCent");
+ fHistAnalysisSummary->SetBinContent(17, fMinCent);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(18, "fMaxCent");
+ fHistAnalysisSummary->SetBinContent(18, fMaxCent);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(19, "fMinVz");
+ fHistAnalysisSummary->SetBinContent(19, fMinVz);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(20, "fMaxVz");
+ fHistAnalysisSummary->SetBinContent(20, fMaxVz);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(21, "fOffTrigger");
+ fHistAnalysisSummary->SetBinContent(21, fOffTrigger);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(33, "fRandomConeRadius");
+ fHistAnalysisSummary->SetBinContent(33, fRandomConeRadius);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(34, "fitModulationType");
+ fHistAnalysisSummary->SetBinContent(34, (int)fFitModulationType);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(35, "runModeType");
+ fHistAnalysisSummary->SetBinContent(35, (int)fRunModeType);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(36, "data type");
+ fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(37, "iterator");
+ fHistAnalysisSummary->SetBinContent(37, 1.);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(38, "fMinPvalue");
+ fHistAnalysisSummary->SetBinContent(38, fMinPvalue);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(39, "fMaxPvalue");
+ fHistAnalysisSummary->SetBinContent(39, fMaxPvalue);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(40, "fExcludeLeadingJetsFromFit");
+ fHistAnalysisSummary->SetBinContent(40, fExcludeLeadingJetsFromFit);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(41, "fRebinSwapHistoOnTheFly");
+ fHistAnalysisSummary->SetBinContent(41, (int)fRebinSwapHistoOnTheFly);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(42, "fUsePtWeight");
+ fHistAnalysisSummary->SetBinContent(42, (int)fUsePtWeight);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(43, "fMinLeadingHadronPt");
+ fHistAnalysisSummary->SetBinContent(43, fMinLeadingHadronPt);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(44, "fExplicitOutlierCut");
+ fHistAnalysisSummary->SetBinContent(44, fExplicitOutlierCut);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(45, "fLocalJetMinEta");
+ fHistAnalysisSummary->SetBinContent(45,fLocalJetMinEta );
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(46, "fLocalJetMaxEta");
+ fHistAnalysisSummary->SetBinContent(46, fLocalJetMaxEta);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(47, "fLocalJetMinPhi");
+ fHistAnalysisSummary->SetBinContent(47, fLocalJetMinPhi);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(48, "fLocalJetMaxPhi");
+ fHistAnalysisSummary->SetBinContent(48, fLocalJetMaxPhi);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(49, "fSoftTrackMinPt");
+ fHistAnalysisSummary->SetBinContent(49, fSoftTrackMinPt);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(50, "fSoftTrackMaxPt");
+ fHistAnalysisSummary->SetBinContent(50, fSoftTrackMaxPt);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(51, "fMaxCones");
+ fHistAnalysisSummary->SetBinContent(51, fMaxCones);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(52, "fUseScaledRho");
+ fHistAnalysisSummary->SetBinContent(52, fUseScaledRho);
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(53, "used rho");
+ fHistAnalysisSummary->GetXaxis()->SetBinLabel(54, "used small rho");
+}
+//_____________________________________________________________________________
void AliAnalysisTaskRhoVnModulation::Terminate(Option_t *)
{
// terminate
switch (fRunModeType) {
case kLocal : {
printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
- if(fFillQAHistograms) {
- Int_t runs[] = {167813, 167988, 168066, 168068, 168069, 168076, 168104, 168212, 168311, 168322, 168325, 168341, 168361, 168362, 168458, 168460, 168461, 168992, 169091, 169094, 169138, 169143, 169167, 169417, 169835, 169837, 169838, 169846, 169855, 169858, 169859, 169923, 169956, 170027, 170036, 170081, 169975, 169981, 170038, 170040, 170083, 170084, 170085, 170088, 170089, 170091, 170152, 170155, 170159, 170163, 170193, 170195, 170203, 170204, 170205, 170228, 170230, 170264, 170268, 170269, 170270, 170306, 170308, 170309};
- for(Int_t i(0); i < 64; i++) {
- fHistRunnumbersPhi->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i]));
- fHistRunnumbersEta->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i]));
- }
- fHistRunnumbersPhi->GetXaxis()->SetBinLabel(65, "undetermined");
- fHistRunnumbersEta->GetXaxis()->SetBinLabel(65, "undetermined");
- }
AliAnalysisTaskRhoVnModulation::Dump();
for(Int_t i(0); i < fHistAnalysisSummary->GetXaxis()->GetNbins(); i++) printf( " > flag: %s \t content %.2f \n", fHistAnalysisSummary->GetXaxis()->GetBinLabel(1+i), fHistAnalysisSummary->GetBinContent(1+i));
} break;
}
}
//_____________________________________________________________________________
+void AliAnalysisTaskRhoVnModulation::SetModulationFit(TF1* fit)
+{
+ // set modulation fit
+ if (fFitModulation) delete fFitModulation;
+ fFitModulation = fit;
+}
+//_____________________________________________________________________________
+void AliAnalysisTaskRhoVnModulation::SetUseControlFit(Bool_t c)
+{
+ // set control fit
+ if (fFitControl) delete fFitControl;
+ if (c) {
+ fFitControl = new TF1("controlFit", "pol0", 0, TMath::TwoPi());
+ } else fFitControl = 0x0;
+}
+//_____________________________________________________________________________
+TH1F* AliAnalysisTaskRhoVnModulation::GetResolutionFromOuptutFile(detectorType det, Int_t h, TArrayD* cen)
+{
+ // INTERFACE METHOD FOR OUTPUTFILE
+ // get the detector resolution, user has ownership of the returned histogram
+ if(!fOutputList) {
+ printf(" > Please add fOutputList first < \n");
+ return 0x0;
+ }
+ TH1F* r(0x0);
+ (cen) ? r = new TH1F("R", "R", cen->GetSize()-1, cen->GetArray()) : r = new TH1F("R", "R", 10, 0, 10);
+ if(!cen) r->GetXaxis()->SetTitle("number of centrality bin");
+ r->GetYaxis()->SetTitle(Form("Resolution #Psi_{%i}", h));
+ for(Int_t i(0); i < 10; i++) {
+ TProfile* temp((TProfile*)fOutputList->FindObject(Form("fProfV%iResolution_%i", h, i)));
+ if(!temp) break;
+ Double_t a(temp->GetBinContent(3)), b(temp->GetBinContent(5)), c(temp->GetBinContent(7));
+ Double_t d(temp->GetBinContent(9)), e(temp->GetBinContent(10)), f(temp->GetBinContent(11));
+ Double_t _a(temp->GetBinError(3)), _b(temp->GetBinError(5)), _c(temp->GetBinError(7));
+ Double_t _d(temp->GetBinError(9)), _e(temp->GetBinError(10)), _f(temp->GetBinError(11));
+ if(a <= 0 || b <= 0 || c <= 0 || d <= 0 || e <= 0 || f <= 0) continue;
+ switch (det) {
+ case kVZEROA : {
+ r->SetBinContent(1+i, TMath::Sqrt((a*b)/c));
+ if(i==0) r->SetNameTitle("VZEROA resolution", "VZEROA resolution");
+ r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
+ } break;
+ case kVZEROC : {
+ r->SetBinContent(1+i, TMath::Sqrt((a*c)/b));
+ if(i==0) r->SetNameTitle("VZEROC resolution", "VZEROC resolution");
+ r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
+ } break;
+ case kTPC : {
+ r->SetBinContent(1+i, TMath::Sqrt((b*c)/a));
+ if(i==0) r->SetNameTitle("TPC resolution", "TPC resolution");
+ r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
+ } break;
+ case kVZEROComb : {
+ r->SetBinContent(1+i, TMath::Sqrt((d*e)/f));
+ if(i==0) r->SetNameTitle("VZEROComb resolution", "VZEROComb resolution");
+ r->SetBinError(1+i, TMath::Sqrt(_d*_d+_e*_e+_f*_f));
+ } break;
+ default : break;
+ }
+ }
+ return r;
+}
+//_____________________________________________________________________________
+TH1F* AliAnalysisTaskRhoVnModulation::CorrectForResolutionDiff(TH1F* v, detectorType det, TArrayD* cen, Int_t c, Int_t h)
+{
+ // INTERFACE METHOD FOR OUTPUT FILE
+ // correct the supplied differential vn histogram v for detector resolution
+ TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
+ if(!r) {
+ printf(" > Couldn't find resolution < \n");
+ return 0x0;
+ }
+ Double_t res(1./r->GetBinContent(1+r->FindBin(c)));
+ TF1* line = new TF1("line", "pol0", 0, 200);
+ line->SetParameter(0, res);
+ v->Multiply(line);
+ return v;
+}
+//_____________________________________________________________________________
+TH1F* AliAnalysisTaskRhoVnModulation::CorrectForResolutionInt(TH1F* v, detectorType det, TArrayD* cen, Int_t h)
+{
+ // INTERFACE METHOD FOR OUTPUT FILE
+ // correct the supplied intetrated vn histogram v for detector resolution
+ // integrated vn must have the same centrality binning as the resolotion correction
+ TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
+ v->Divide(v, r);
+ return v;
+}
+//_____________________________________________________________________________
+TH1F* AliAnalysisTaskRhoVnModulation::GetDifferentialQC(TProfile* refCumulants, TProfile* diffCumlants, TArrayD* ptBins, Int_t h)
+{
+ // get differential QC
+ Double_t r(refCumulants->GetBinContent(h-1)); // v2 reference flow
+ if(r > 0) r = TMath::Sqrt(r);
+ TH1F* qc = new TH1F(Form("QC2v%i", h), Form("QC2v%i", h), ptBins->GetSize()-1, ptBins->GetArray());
+ Double_t a(0), b(0), c(0); // dummy variables
+ for(Int_t i(0); i < ptBins->GetSize(); i++) {
+ if(r > 0) {
+ a = diffCumlants->GetBinContent(1+i);
+ b = diffCumlants->GetBinError(1+i);
+ c = a/r;
+ qc->SetBinContent(1+i, c);
+ (a <= 0 || b <= 0) ? qc->SetBinError(1+i, b) : qc->SetBinError(1+i, TMath::Sqrt(c*c*b*b/(a*a)));
+ }
+ }
+ return qc;
+}
+
+//_____________________________________________________________________________
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff