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[u/mrichter/AliRoot.git] / PWGJE / EMCALJetTasks / UserTasks / AliAnalysisTaskJetV2.h
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eae37c5c 1/* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. */
2/* See cxx source for full Copyright notice */
3/* $Id$ */
4
5#ifndef AliAnalysisTaskJetV2_H
6#define AliAnalysisTaskJetV2_H
7
90c6bce5 8// uncomment to compile with debug information
9//#define DEBUGTASK
10
eae37c5c 11#include <AliAnalysisTaskEmcalJet.h>
12#include <AliEmcalJet.h>
13#include <AliVEvent.h>
14#include <AliVParticle.h>
15#include <AliVCluster.h>
16#include <TClonesArray.h>
17#include <TMath.h>
18#include <TArrayD.h>
19#include <TRandom3.h>
20#include <AliJetContainer.h>
21#include <AliParticleContainer.h>
22
9e1c2f31 23class TFile;
eae37c5c 24class TF1;
3e6806b3 25class TH1F;
26class TH2F;
27class TH3F;
eae37c5c 28class TProfile;
29class AliLocalRhoParameter;
30class AliClusterContainer;
31class AliVTrack;
32
33class AliAnalysisTaskJetV2 : public AliAnalysisTaskEmcalJet {
34 public:
35 // enumerators
36 enum fitModulationType { kNoFit, kV2, kV3, kCombined, kFourierSeries, kIntegratedFlow, kQC2, kQC4 }; // fit type
37 enum fitGoodnessTest { kChi2ROOT, kChi2Poisson, kKolmogorov, kKolmogorovTOY, kLinearFit };
06d2671d 38 enum collisionType { kPbPb, kPythia, kPbPb10h, kPbPb11h, kJetFlowMC }; // collision type, kPbPb = 11h, kept for backward compatibilitiy
eae37c5c 39 enum qcRecovery { kFixedRho, kNegativeVn, kTryFit }; // how to deal with negative cn value for qcn value
40 enum runModeType { kLocal, kGrid }; // run mode type
06d2671d 41 enum dataType { kESD, kAOD, kESDMC, kAODMC}; // data type
42 enum detectorType { kTPC, kVZEROA, kVZEROC, kVZEROComb, kFixedEP}; // detector that was used for event plane
eae37c5c 43 enum analysisType { kCharged, kFull }; // analysis type
44 // constructors, destructor
45 AliAnalysisTaskJetV2();
46 AliAnalysisTaskJetV2(const char *name, runModeType type);
47 virtual ~AliAnalysisTaskJetV2();
48 // setting up the task and technical aspects
49 void ExecOnce();
f41baaab 50 virtual Bool_t Notify();
eae37c5c 51 Bool_t InitializeAnalysis();
52 virtual void UserCreateOutputObjects();
06d2671d 53 virtual void Exec(Option_t *);
eae37c5c 54 virtual Bool_t Run();
55 TH1F* BookTH1F(const char* name, const char* x, Int_t bins, Double_t min, Double_t max, Int_t c = -1, Bool_t append = kTRUE);
56 TH2F* 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 = -1, Bool_t append = kTRUE);
3e6806b3 57 TH3F* BookTH3F(const char* name, const char* x, const char* y, const char* z, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t binsz, Double_t minz, Double_t maxz, Int_t c = -1, Bool_t append = kTRUE);
9e1c2f31 58 /* inline */ static Double_t PhaseShift(Double_t x) {
eae37c5c 59 while (x>=TMath::TwoPi())x-=TMath::TwoPi();
60 while (x<0.)x+=TMath::TwoPi();
61 return x; }
9e1c2f31 62 /* inline */ static Double_t PhaseShift(Double_t x, Double_t n) {
eae37c5c 63 x = PhaseShift(x);
64 if(TMath::Nint(n)==2) while (x>TMath::Pi()) x-=TMath::Pi();
65 if(TMath::Nint(n)==3) {
66 if(x>2.*TMath::TwoPi()/n) x = TMath::TwoPi() - x;
67 if(x>TMath::TwoPi()/n) x = TMath::TwoPi()-(x+TMath::TwoPi()/n);
68 }
69 return x; }
99c4da7e 70 /* inline */ static Bool_t IsInPlane(Double_t dPhi) {
71 return (dPhi < -1.*TMath::Pi()/4. || dPhi > TMath::Pi()/4.); }
9e1c2f31 72 /* inline */ static Double_t ChiSquarePDF(Int_t ndf, Double_t x) {
eae37c5c 73 Double_t n(ndf/2.), denom(TMath::Power(2, n)*TMath::Gamma(n));
74 if (denom!=0) return ((1./denom)*TMath::Power(x, n-1)*TMath::Exp(-x/2.));
75 return -999; }
76 // note that the cdf of the chisquare distribution is the normalized lower incomplete gamma function
9e1c2f31 77 /* inline */ static Double_t ChiSquareCDF(Int_t ndf, Double_t x) { return TMath::Gamma(ndf/2., x/2.); }
78 /* inline */ static Double_t ChiSquare(TH1& histo, TF1* func) {
eae37c5c 79 // evaluate the chi2 using a poissonian error estimate on bins
80 Double_t chi2(0.);
81 for(Int_t i(0); i < histo.GetXaxis()->GetNbins(); i++) {
82 if(histo.GetBinContent(i+1) <= 0.) continue;
83 chi2 += TMath::Power((histo.GetBinContent(i+1)-func->Eval(histo.GetXaxis()->GetBinCenter(1+i))), 2)/histo.GetBinContent(i+1);
84 }
85 return chi2;
86 }
9e1c2f31 87 /* inline */ Double_t KolmogorovTest(TH1F& histo, TF1* func) const {
eae37c5c 88 // return the probability from a Kolmogorov test
6c3fa11d 89 return .5;
23503789 90 /* this test is disabeled as it eats a lot of resources but kept as a dummty to
91 * ensure compatibility of the output with offline macros
eae37c5c 92 TH1F test(histo); // stack copy of test statistic
93 for(Int_t i(0); i < test.GetXaxis()->GetNbins(); i++) test.SetBinContent(i+1, func->Eval(test.GetXaxis()->GetBinCenter(1+i)));
94 if(fFitGoodnessTest == kKolmogorovTOY) return histo.TH1::KolmogorovTest((&test), "X");
95 return histo.TH1::KolmogorovTest((&test));
23503789 96 */
eae37c5c 97 }
9e1c2f31 98
eae37c5c 99 // setters - analysis setup
eae37c5c 100 void SetRunToyMC(Bool_t t) {fRunToyMC = t; }
101 void SetAttachToEvent(Bool_t b) {fAttachToEvent = b;}
102 void SetFillHistograms(Bool_t b) {fFillHistograms = b;}
103 void SetFillQAHistograms(Bool_t qa) {fFillQAHistograms = qa;}
104 void SetReduceBinsXYByFactor(Float_t x, Float_t y) {fReduceBinsXByFactor = x;
105 fReduceBinsYByFactor = y;}
106 void SetNoEventWeightsForQC(Bool_t e) {fNoEventWeightsForQC = e;}
107 void SetCentralityClasses(TArrayD* c) {fCentralityClasses = c;}
108 void SetExpectedRuns(TArrayI* r) {fExpectedRuns = r;}
109 void SetExpectedSemiGoodRuns(TArrayI* r) {fExpectedSemiGoodRuns = r;}
110 void SetIntegratedFlow(TH1F* i, TH1F* j) {fUserSuppliedV2 = i;
111 fUserSuppliedV3 = j; }
112 void SetOnTheFlyResCorrection(TH1F* r2, TH1F* r3) {fUserSuppliedR2 = r2;
113 fUserSuppliedR3 = r3; }
8ee63b73 114 void SetEventPlaneWeights(TH1F* ep) {fEventPlaneWeights = ep; }
433ad2be 115 void SetAcceptanceWeights(Bool_t w) {fAcceptanceWeights = w; }
eae37c5c 116 void SetNameRhoSmall(TString name) {fNameSmallRho = name; }
117 void SetRandomSeed(TRandom3* r) {if (fRandom) delete fRandom; fRandom = r; }
118 void SetModulationFit(TF1* fit);
119 void SetUseControlFit(Bool_t c);
120 void SetModulationFitMinMaxP(Float_t m, Float_t n) {fMinPvalue = m; fMaxPvalue = n; }
121 void SetModulationFitType(fitModulationType type) {fFitModulationType = type; }
122 void SetGoodnessTest(fitGoodnessTest test) {fFitGoodnessTest = test; }
123 void SetQCnRecoveryType(qcRecovery type) {fQCRecovery = type; }
124 void SetModulationFitOptions(TString opt) {fFitModulationOptions = opt; }
125 void SetReferenceDetector(detectorType type) {fDetectorType = type; }
126 void SetAnalysisType(analysisType type) {fAnalysisType = type; }
127 void SetCollisionType(collisionType type) {fCollisionType = type; }
128 void SetUsePtWeight(Bool_t w) {
129 fUsePtWeight = w;
130 if(!fUsePtWeight) fUsePtWeightErrorPropagation = kFALSE; }
131 void SetUsePtWeightErrorPropagation(Bool_t w) {fUsePtWeightErrorPropagation = w; }
132 void SetRunModeType(runModeType type) {fRunModeType = type; }
133 void SetAbsVertexZ(Float_t v) {fAbsVertexZ = v; }
134 void SetMinDistanceRctoLJ(Float_t m) {fMinDisanceRCtoLJ = m; }
135 void SetMaxNoRandomCones(Int_t m) {fMaxCones = m; }
136 void SetExcludeLeadingJetsFromFit(Float_t n) {fExcludeLeadingJetsFromFit = n; }
137 void SetRebinSwapHistoOnTheFly(Bool_t r) {fRebinSwapHistoOnTheFly = r; }
138 void SetSaveThisPercentageOfFits(Float_t p) {fPercentageOfFits = p; }
9e1c2f31 139 // setters specific to the vzero calibration for 10h data
140 void SetVZEROApol(Int_t ring, Float_t f) {fVZEROApol[ring]=f;}
141 void SetVZEROCpol(Int_t ring, Float_t f) {fVZEROCpol[ring]=f;}
142 void SetVZEROgainEqualizationPerRing(Bool_t s) {fVZEROgainEqualizationPerRing = s;}
143 void SetUseVZERORing(Int_t i, Bool_t u) {
144 // exclude vzero rings: 0 through 7 can be excluded by calling this setter multiple times
145 // 0 corresponds to segment ID 0 through 7, etc
146 fUseVZERORing[i] = u;
147 fVZEROgainEqualizationPerRing = kTRUE; // must be true for this option
148 }
149
150 void SetChi2VZEROA(TArrayD* a) { fChi2A = a;}
151 void SetChi2VZEROC(TArrayD* a) { fChi2C = a;}
152 void SetChi3VZEROA(TArrayD* a) { fChi3A = a;}
153 void SetChi3VZEROC(TArrayD* a) { fChi3C = a;}
154
155 // getters
eae37c5c 156 TString GetJetsName() const {return GetJetContainer()->GetArrayName(); }
157 TString GetTracksName() const {return GetParticleContainer()->GetArrayName(); }
158 TString GetLocalRhoName() const {return fLocalRhoName; }
159 TArrayD* GetCentralityClasses() const {return fCentralityClasses;}
160 TProfile* GetResolutionParameters(Int_t h, Int_t c) const {return (h==2) ? fProfV2Resolution[c] : fProfV3Resolution[c];}
161 TList* GetOutputList() const {return fOutputList;}
162 AliLocalRhoParameter* GetLocalRhoParameter() const {return fLocalRho;}
163 Double_t GetJetRadius() const {return GetJetContainer()->GetJetRadius();}
41e50b0d 164 AliEmcalJet* GetLeadingJet(AliLocalRhoParameter* localRho = 0x0);
cf65e67c 165 static TH1F* GetEventPlaneWeights(TH1F* hist);
f9649078 166 static void PrintTriggerSummary(UInt_t trigger);
41e50b0d 167 void ExecMe() {ExecOnce();}
41e50b0d 168 AliAnalysisTaskJetV2* ReturnMe() {return this;}
eae37c5c 169 // local cuts
170 void SetSoftTrackMinMaxPt(Float_t min, Float_t max) {fSoftTrackMinPt = min; fSoftTrackMaxPt = max;}
171 void SetSemiGoodJetMinMaxPhi(Double_t a, Double_t b) {fSemiGoodJetMinPhi = a; fSemiGoodJetMaxPhi = b;}
172 void SetSemiGoodTrackMinMaxPhi(Double_t a, Double_t b) {fSemiGoodTrackMinPhi = a; fSemiGoodTrackMaxPhi = b;}
173 // numerical evaluations
433ad2be 174 static void NumericalOverlap(Double_t x1, Double_t x2, Double_t psi2, Double_t &percIn, Double_t &percOut, Double_t &percLost);
175 static Int_t OverlapsWithPlane(Double_t x1, Double_t x2,
176 Double_t a, Double_t b, Double_t c, Double_t d, Double_t e, Double_t phi);
9e1c2f31 177 static Double_t CalculateEventPlaneChi(Double_t res);
eae37c5c 178 void CalculateEventPlaneVZERO(Double_t vzero[2][2]) const;
eae37c5c 179 void CalculateEventPlaneCombinedVZERO(Double_t* comb) const;
9e1c2f31 180 void CalculateEventPlaneTPC(Double_t* tpc);
eae37c5c 181 void CalculateEventPlaneResolution(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc);
9e1c2f31 182 void CalculateQvectorVZERO(Double_t Qa2[2], Double_t Qc2[2], Double_t Qa3[2], Double_t Qc3[2]) const;
183 void CalculateQvectorCombinedVZERO(Double_t Q2[2], Double_t Q3[2]) const;
eae37c5c 184 void CalculateRandomCone(
185 Float_t &pt,
186 Float_t &eta,
187 Float_t &phi,
188 AliParticleContainer* tracksCont,
189 AliClusterContainer* clusterCont = 0x0,
190 AliEmcalJet* jet = 0x0
191 ) const;
192 Double_t CalculateQC2(Int_t harm);
193 Double_t CalculateQC4(Int_t harm);
9e1c2f31 194 // helper calculations for the q-cumulant analysis
eae37c5c 195 void QCnQnk(Int_t n, Int_t k, Double_t &reQ, Double_t &imQ);
196 void QCnDiffentialFlowVectors(
197 TClonesArray* pois, TArrayD* ptBins, Bool_t vpart, Double_t* repn, Double_t* impn,
198 Double_t *mp, Double_t *reqn, Double_t *imqn, Double_t* mq, Int_t n);
199 Double_t QCnS(Int_t i, Int_t j);
200 Double_t QCnM();
201 Double_t QCnM11();
202 Double_t QCnM1111();
203 Bool_t QCnRecovery(Double_t psi2, Double_t psi3);
204 // analysis details
205 Bool_t CorrectRho(Double_t psi2, Double_t psi3);
9e1c2f31 206 // event and track selection
eae37c5c 207 /* inline */ Bool_t PassesCuts(AliVParticle* track) const { return AcceptTrack(track, 0); }
208 /* inline */ Bool_t PassesCuts(AliEmcalJet* jet) { return AcceptJet(jet, 0); }
209 /* inline */ Bool_t PassesCuts(AliVCluster* clus) const { return AcceptCluster(clus, 0); }
210 /* inline */ Bool_t PassesSimpleCuts(AliEmcalJet* jet) {
211 Float_t minPhi(GetJetContainer()->GetJetPhiMin()), maxPhi(GetJetContainer()->GetJetPhiMax());
212 Float_t minEta(GetJetContainer()->GetJetEtaMin()), maxEta(GetJetContainer()->GetJetEtaMax());
9aa4c594 213 return (jet/* && jet->Pt() > 1.*/ && jet->Eta() > minEta && jet->Eta() < maxEta && jet->Phi() > minPhi && jet->Phi() < maxPhi && jet->Area() > .557*GetJetRadius()*GetJetRadius()*TMath::Pi());
eae37c5c 214 }
215 Bool_t PassesCuts(AliVEvent* event);
eae37c5c 216 Bool_t PassesCuts(const AliVCluster* track) const;
217 // filling histograms
218 void FillHistogramsAfterSubtraction(Double_t psi2, Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc);
eae37c5c 219 void FillQAHistograms(AliVTrack* vtrack) const;
220 void FillQAHistograms(AliVEvent* vevent);
8ee63b73 221 void FillWeightedTrackHistograms() const;
222 void FillWeightedClusterHistograms() const;
223 void FillWeightedEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const;
224 void FillWeightedRhoHistograms();
225 void FillWeightedDeltaPtHistograms(Double_t psi2) const;
226 void FillWeightedJetHistograms(Double_t psi2);
227 void FillWeightedQAHistograms(AliVTrack* vtrack) const;
228 void FillWeightedQAHistograms(AliVEvent* vevent);
b767e4bb 229 void FillWeightedTriggerQA(Double_t dPhi, Double_t pt, UInt_t trigger);
eae37c5c 230 void FillAnalysisSummaryHistogram() const;
231 virtual void Terminate(Option_t* option);
232 // interface methods for the output file
233 void SetOutputList(TList* l) {fOutputList = l;}
234 TH1F* GetResolutionFromOuptutFile(detectorType detector, Int_t h = 2, TArrayD* c = 0x0);
235 TH1F* CorrectForResolutionDiff(TH1F* v, detectorType detector, TArrayD* cen, Int_t c, Int_t h = 2);
236 TH1F* CorrectForResolutionInt(TH1F* v, detectorType detector, TArrayD* cen, Int_t h = 2);
237 TH1F* GetDifferentialQC(TProfile* refCumulants, TProfile* diffCumlants, TArrayD* ptBins, Int_t h);
9e1c2f31 238 void ReadVZEROCalibration2010h();
239 Int_t GetVZEROCentralityBin() const;
eae37c5c 240 private:
241 // analysis flags and settings
eae37c5c 242 Bool_t fRunToyMC; // run toy mc for fit routine
243 Bool_t fLocalInit; //! is the analysis initialized?
244 Bool_t fAttachToEvent; // attach local rho to the event
245 Bool_t fFillHistograms; // fill histograms
246 Bool_t fFillQAHistograms; // fill qa histograms
247 Float_t fReduceBinsXByFactor; // reduce the bins on x-axis of histo's by this much
248 Float_t fReduceBinsYByFactor; // reduce the bins on y-axis of histo's by this much
249 Bool_t fNoEventWeightsForQC; // don't store event weights for qc analysis
250 TArrayD* fCentralityClasses; //-> centrality classes (maximum 10)
251 TArrayI* fExpectedRuns; //-> array of expected run numbers, used for QA
252 TArrayI* fExpectedSemiGoodRuns; //-> array of expected semi-good runs, used for cuts and QA
253 TH1F* fUserSuppliedV2; // histo with integrated v2
254 TH1F* fUserSuppliedV3; // histo with integrated v3
255 TH1F* fUserSuppliedR2; // correct the extracted v2 with this r
256 TH1F* fUserSuppliedR3; // correct the extracted v3 with this r
8ee63b73 257 TH1F* fEventPlaneWeights; // weight histo for the event plane
433ad2be 258 Bool_t fAcceptanceWeights; // store centrality dependent acceptance weights
8ee63b73 259 Float_t fEventPlaneWeight; //! the actual weight of an event
eae37c5c 260 AliParticleContainer* fTracksCont; //! tracks
261 AliClusterContainer* fClusterCont; //! cluster container
262 AliJetContainer* fJetsCont; //! jets
263 AliEmcalJet* fLeadingJet; //! leading jet
41e50b0d 264 AliEmcalJet* fLeadingJetAfterSub; //! leading jet after background subtraction
eae37c5c 265 // members
266 Int_t fNAcceptedTracks; //! number of accepted tracks
267 Int_t fNAcceptedTracksQCn; //! accepted tracks for QCn
268 fitModulationType fFitModulationType; // fit modulation type
269 fitGoodnessTest fFitGoodnessTest; // fit goodness test type
270 qcRecovery fQCRecovery; // recovery type for e-by-e qc method
271 Bool_t fUsePtWeight; // use dptdphi instead of dndphi
272 Bool_t fUsePtWeightErrorPropagation; // recalculate the bin errors in case of pt weighting
273 detectorType fDetectorType; // type of detector used for modulation fit
274 analysisType fAnalysisType; // analysis type (full or charged jets)
275 TString fFitModulationOptions; // fit options for modulation fit
276 runModeType fRunModeType; // run mode type
277 dataType fDataType; // datatype
278 collisionType fCollisionType; // collision type
279 TRandom3* fRandom; //-> dont use gRandom to not interfere with other tasks
280 Int_t fRunNumber; //! current runnumber (for QA and jet, track selection)
281 Int_t fMappedRunNumber; //! mapped runnumer (for QA)
282 Int_t fInCentralitySelection; //! centrality bin
283 TF1* fFitModulation; //-> modulation fit for rho
284 TF1* fFitControl; //-> control fit
285 Float_t fMinPvalue; // minimum value of p
286 Float_t fMaxPvalue; // maximum value of p
287 TString fNameSmallRho; // name of small rho
288 AliRhoParameter* fCachedRho; //! temp cache for rho pointer
289 // additional jet cuts (most are inherited)
290 Float_t fSoftTrackMinPt; // min pt for soft tracks
291 Float_t fSoftTrackMaxPt; // max pt for soft tracks
292 Double_t fSemiGoodJetMinPhi; // min phi for semi good tpc runs
293 Double_t fSemiGoodJetMaxPhi; // max phi for semi good tpc runs
294 Double_t fSemiGoodTrackMinPhi; // min phi for semi good tpc runs
295 Double_t fSemiGoodTrackMaxPhi; // max phi for semi good tpc runs
296 // event cuts
297 Float_t fAbsVertexZ; // cut on zvertex
298 // general qa histograms
299 TH1F* fHistCentrality; //! accepted centrality
433ad2be 300 TProfile* fHistCentralityPercIn; //! centrality versus perc in
301 TProfile* fHistCentralityPercOut; //! centrality versus perc out
302 TProfile* fHistCentralityPercLost;//! centrality versus perc lost
eae37c5c 303 TH1F* fHistVertexz; //! accepted verte
304 TH2F* fHistRunnumbersPhi; //! run numbers averaged phi
305 TH2F* fHistRunnumbersEta; //! run numbers averaged eta
306 TH1F* fHistPvalueCDFROOT; //! pdf value of chisquare p
307 TH2F* fHistPvalueCDFROOTCent; //! p value versus centrlaity from root
308 TH2F* fHistChi2ROOTCent; //! reduced chi2 from ROOT, centrality correlation
309 TH2F* fHistPChi2Root; //! correlation p value and reduced chi2
310 TH1F* fHistPvalueCDF; //! cdf value of chisquare p
311 TH2F* fHistPvalueCDFCent; //! p value vs centrality
312 TH2F* fHistChi2Cent; //! reduced chi2, centrlaity correlation
313 TH2F* fHistPChi2; //! correlation p value and reduced chi2
314 TH1F* fHistKolmogorovTest; //! KolmogorovTest value
315 TH2F* fHistKolmogorovTestCent;//! KolmogorovTest value, centrality correlation
316 TH2F* fHistPKolmogorov; //! p value vs kolmogorov value
317 TH2F* fHistRhoStatusCent; //! status of rho as function of centrality
318 TH1F* fHistUndeterminedRunQA; //! undetermined run QA
319 // general settings
320 Float_t fMinDisanceRCtoLJ; // min distance between rc and leading jet
321 Int_t fMaxCones; // max number of random cones
322 Float_t fExcludeLeadingJetsFromFit; // exclude n leading jets from fit
323 Bool_t fRebinSwapHistoOnTheFly; // rebin swap histo on the fly
324 Float_t fPercentageOfFits; // save this percentage of fits
eae37c5c 325 // transient object pointers
326 TList* fOutputList; //! output list
327 TList* fOutputListGood; //! output list for local analysis
328 TList* fOutputListBad; //! output list for local analysis
329 TH1F* fHistAnalysisSummary; //! analysis summary
330 TH1F* fHistSwap; //! swap histogram
331 TProfile* fProfV2; //! extracted v2
332 TProfile* fProfV2Cumulant; //! v2 cumulant
333 TProfile* fProfV2Resolution[10]; //! resolution parameters for v2
334 TProfile* fProfV3; //! extracted v3
335 TProfile* fProfV3Cumulant; //! v3 cumulant
336 TProfile* fProfV3Resolution[10]; //! resolution parameters for v3
337 // qa histograms for accepted pico tracks
338 TH1F* fHistPicoTrackPt[10]; //! pt of all charged tracks
339 TH1F* fHistPicoTrackMult[10]; //! multiplicity of accepted pico tracks
340 TH2F* fHistPicoCat1[10]; //! pico tracks spd hit and refit
341 TH2F* fHistPicoCat2[10]; //! pico tracks wo spd hit w refit, constrained
342 TH2F* fHistPicoCat3[10]; //! pico tracks wo spd hit wo refit, constrained
343 // qa histograms for accepted emcal clusters
344 TH1F* fHistClusterPt[10]; //! pt emcal clusters
345 TH2F* fHistClusterEtaPhi[10]; //! eta phi emcal clusters
346 TH2F* fHistClusterEtaPhiWeighted[10]; //! eta phi emcal clusters, pt weighted
99c4da7e 347 // qa histograms for triggers
348 TH2F* fHistTriggerQAIn[10]; //! trigger qa in plane
349 TH2F* fHistTriggerQAOut[10]; //! trigger qa out of plane
eae37c5c 350 // qa event planes
351 TProfile* fHistPsiControl; //! event plane control histogram
352 TProfile* fHistPsiSpread; //! event plane spread histogram
353 TH1F* fHistPsiVZEROA; //! psi 2 from vzero a
354 TH1F* fHistPsiVZEROC; //! psi 2 from vzero c
355 TH1F* fHistPsiVZERO; //! psi 2 from combined vzero
356 TH1F* fHistPsiTPC; //! psi 2 from tpc
357 TH2F* fHistPsiVZEROAV0M; //! psi 2 from vzero a
358 TH2F* fHistPsiVZEROCV0M; //! psi 2 from vzero c
359 TH2F* fHistPsiVZEROVV0M; //! psi 2 from combined vzero
9aa4c594 360 TH2F* fHistPsiTPCV0M; //! psi 2 from tpc
eae37c5c 361 TH2F* fHistPsiVZEROATRK; //! psi 2 from vzero a
362 TH2F* fHistPsiVZEROCTRK; //! psi 2 from vzero c
363 TH2F* fHistPsiVZEROTRK; //! psi 2 from combined vzero
364 TH2F* fHistPsiTPCTRK; //! psi 2 from tpc
94b007e2 365 TH3F* fHistPsiTPCLeadingJet[10]; //! correlation tpc EP, LJ pt
366 TH3F* fHistPsiVZEROALeadingJet[10]; //! correlation vzeroa EP, LJ pt
367 TH3F* fHistPsiVZEROCLeadingJet[10]; //! correlation vzeroc EP, LJ pt
368 TH3F* fHistPsiVZEROCombLeadingJet[10];//! correlation vzerocomb EP, LJ pt
3e6806b3 369 TH3F* fHistPsi2Correlation[10]; //! correlation of event planes
41e50b0d 370 TH2F* fHistLeadingJetBackground[10]; //! geometric correlation of leading jet w/wo bkg subtraction
eae37c5c 371 // background
372 TH1F* fHistRhoPackage[10]; //! rho as estimated by emcal jet package
373 TH1F* fHistRho[10]; //! background
374 TH2F* fHistRhoVsMult; //! rho versus multiplicity
375 TH2F* fHistRhoVsCent; //! rho veruss centrality
376 TH2F* fHistRhoAVsMult; //! rho * A vs multiplicity for all jets
377 TH2F* fHistRhoAVsCent; //! rho * A vs centrality for all jets
378 // delta pt distributions
379 TH2F* fHistRCPhiEta[10]; //! random cone eta and phi
380 TH2F* fHistRhoVsRCPt[10]; //! rho * A vs rcpt
381 TH1F* fHistRCPt[10]; //! rcpt
382 TH2F* fHistDeltaPtDeltaPhi2[10]; //! dpt vs dphi (psi2 - phi)
383 TH2F* fHistDeltaPtDeltaPhi2Rho0[10]; //! dpt vs dphi, rho_0
384 TH2F* fHistRCPhiEtaExLJ[10]; //! random cone eta and phi, excl leading jet
385 TH2F* fHistRhoVsRCPtExLJ[10]; //! rho * A vs rcpt, excl leading jet
386 TH1F* fHistRCPtExLJ[10]; //! rcpt, excl leading jet
387 TH2F* fHistDeltaPtDeltaPhi2ExLJ[10]; //! dpt vs dphi, excl leading jet
388 TH2F* fHistDeltaPtDeltaPhi2ExLJRho0[10]; //! dpt vs dphi, excl leading jet, rho_0
389 // jet histograms (after kinematic cuts)
390 TH1F* fHistJetPtRaw[10]; //! jet pt - no background subtraction
391 TH1F* fHistJetPt[10]; //! pt of found jets (background subtracted)
392 TH2F* fHistJetEtaPhi[10]; //! eta and phi correlation
393 TH2F* fHistJetPtArea[10]; //! jet pt versus area
394 TH2F* fHistJetPtEta[10]; //! jet pt versus eta (temp control)
395 TH2F* fHistJetPtConstituents[10]; //! jet pt versus number of constituents
396 TH2F* fHistJetEtaRho[10]; //! jet eta versus rho
397 // in plane, out of plane jet spectra
398 TH2F* fHistJetPsi2Pt[10]; //! event plane dependence of jet pt
399 TH2F* fHistJetPsi2PtRho0[10]; //! event plane dependence of jet pt vs rho_0
9e1c2f31 400 // vzero event plane calibration cache for 10h data
401 Float_t fMeanQ[9][2][2]; //! recentering
402 Float_t fWidthQ[9][2][2]; //! recentering
403 Float_t fMeanQv3[9][2][2]; //! recentering
404 Float_t fWidthQv3[9][2][2]; //! recentering
405 TH1* fVZEROgainEqualization; //! equalization histo
406 Bool_t fVZEROgainEqualizationPerRing; // per ring vzero gain calibration
407 Float_t fVZEROApol[4]; //! calibration info per ring
408 Float_t fVZEROCpol[4]; //! calibration info per ring
409 Bool_t fUseVZERORing[8]; // kTRUE means the ring is included
410 TArrayD* fChi2A; // chi vs cent for vzero A ep_2
411 TArrayD* fChi2C; // chi vs cent for vzero C ep_2
412 TArrayD* fChi3A; // chi vs cent for vzero A ep_3
413 TArrayD* fChi3C; // chi vs cent for vzero C ep_3
414 TFile* fOADB; //! fOADB
415
eae37c5c 416
417 AliAnalysisTaskJetV2(const AliAnalysisTaskJetV2&); // not implemented
418 AliAnalysisTaskJetV2& operator=(const AliAnalysisTaskJetV2&); // not implemented
419
433ad2be 420 ClassDef(AliAnalysisTaskJetV2, 4);
eae37c5c 421};
422
423#endif