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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 | ||
8 | #include <AliAnalysisTaskEmcalJet.h> | |
9 | #include <AliEmcalJet.h> | |
10 | #include <AliVEvent.h> | |
11 | #include <AliVParticle.h> | |
12 | #include <AliVCluster.h> | |
13 | #include <TClonesArray.h> | |
14 | #include <TMath.h> | |
15 | #include <TArrayD.h> | |
16 | #include <TRandom3.h> | |
17 | #include <AliJetContainer.h> | |
18 | #include <AliParticleContainer.h> | |
19 | ||
20 | class TF1; | |
21 | class THF1; | |
22 | class THF2; | |
23 | class TProfile; | |
24 | class AliLocalRhoParameter; | |
25 | class AliClusterContainer; | |
26 | class AliVTrack; | |
27 | ||
28 | class AliAnalysisTaskJetV2 : public AliAnalysisTaskEmcalJet { | |
29 | public: | |
30 | // enumerators | |
31 | enum fitModulationType { kNoFit, kV2, kV3, kCombined, kFourierSeries, kIntegratedFlow, kQC2, kQC4 }; // fit type | |
32 | enum fitGoodnessTest { kChi2ROOT, kChi2Poisson, kKolmogorov, kKolmogorovTOY, kLinearFit }; | |
33 | enum collisionType { kPbPb, kPythia, kPbPb10h, kPbPb11h }; // collision type, kPbPb = 11h, kept for backward compatibilitiy | |
34 | enum qcRecovery { kFixedRho, kNegativeVn, kTryFit }; // how to deal with negative cn value for qcn value | |
35 | enum runModeType { kLocal, kGrid }; // run mode type | |
36 | enum dataType { kESD, kAOD, kESDMC, kAODMC }; // data type | |
37 | enum detectorType { kTPC, kVZEROA, kVZEROC, kVZEROComb}; // detector that was used for event plane | |
38 | enum analysisType { kCharged, kFull }; // analysis type | |
39 | // constructors, destructor | |
40 | AliAnalysisTaskJetV2(); | |
41 | AliAnalysisTaskJetV2(const char *name, runModeType type); | |
42 | virtual ~AliAnalysisTaskJetV2(); | |
43 | // setting up the task and technical aspects | |
44 | void ExecOnce(); | |
45 | virtual Bool_t Notify(); | |
46 | Bool_t InitializeAnalysis(); | |
47 | virtual void UserCreateOutputObjects(); | |
48 | virtual Bool_t Run(); | |
49 | 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); | |
50 | 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); | |
51 | /* inline */ Double_t PhaseShift(Double_t x) const { | |
52 | while (x>=TMath::TwoPi())x-=TMath::TwoPi(); | |
53 | while (x<0.)x+=TMath::TwoPi(); | |
54 | return x; } | |
55 | /* inline */ Double_t PhaseShift(Double_t x, Double_t n) const { | |
56 | x = PhaseShift(x); | |
57 | if(TMath::Nint(n)==2) while (x>TMath::Pi()) x-=TMath::Pi(); | |
58 | if(TMath::Nint(n)==3) { | |
59 | if(x>2.*TMath::TwoPi()/n) x = TMath::TwoPi() - x; | |
60 | if(x>TMath::TwoPi()/n) x = TMath::TwoPi()-(x+TMath::TwoPi()/n); | |
61 | } | |
62 | return x; } | |
63 | /* inline */ Double_t ChiSquarePDF(Int_t ndf, Double_t x) const { | |
64 | Double_t n(ndf/2.), denom(TMath::Power(2, n)*TMath::Gamma(n)); | |
65 | if (denom!=0) return ((1./denom)*TMath::Power(x, n-1)*TMath::Exp(-x/2.)); | |
66 | return -999; } | |
67 | // note that the cdf of the chisquare distribution is the normalized lower incomplete gamma function | |
68 | /* inline */ Double_t ChiSquareCDF(Int_t ndf, Double_t x) const { return TMath::Gamma(ndf/2., x/2.); } | |
69 | /* inline */ Double_t ChiSquare(TH1& histo, TF1* func) const { | |
70 | // evaluate the chi2 using a poissonian error estimate on bins | |
71 | Double_t chi2(0.); | |
72 | for(Int_t i(0); i < histo.GetXaxis()->GetNbins(); i++) { | |
73 | if(histo.GetBinContent(i+1) <= 0.) continue; | |
74 | chi2 += TMath::Power((histo.GetBinContent(i+1)-func->Eval(histo.GetXaxis()->GetBinCenter(1+i))), 2)/histo.GetBinContent(i+1); | |
75 | } | |
76 | return chi2; | |
77 | } | |
78 | /* inline*/ Double_t KolmogorovTest(TH1F& histo, TF1* func) const { | |
79 | // return the probability from a Kolmogorov test | |
80 | return .5; | |
81 | TH1F test(histo); // stack copy of test statistic | |
82 | for(Int_t i(0); i < test.GetXaxis()->GetNbins(); i++) test.SetBinContent(i+1, func->Eval(test.GetXaxis()->GetBinCenter(1+i))); | |
83 | if(fFitGoodnessTest == kKolmogorovTOY) return histo.TH1::KolmogorovTest((&test), "X"); | |
84 | return histo.TH1::KolmogorovTest((&test)); | |
85 | } | |
86 | ||
87 | // setters - analysis setup | |
88 | void SetDebugMode(Int_t d) {fDebug = d;} | |
89 | void SetRunToyMC(Bool_t t) {fRunToyMC = t; } | |
90 | void SetAttachToEvent(Bool_t b) {fAttachToEvent = b;} | |
91 | void SetFillHistograms(Bool_t b) {fFillHistograms = b;} | |
92 | void SetFillQAHistograms(Bool_t qa) {fFillQAHistograms = qa;} | |
93 | void SetReduceBinsXYByFactor(Float_t x, Float_t y) {fReduceBinsXByFactor = x; | |
94 | fReduceBinsYByFactor = y;} | |
95 | void SetNoEventWeightsForQC(Bool_t e) {fNoEventWeightsForQC = e;} | |
96 | void SetCentralityClasses(TArrayD* c) {fCentralityClasses = c;} | |
97 | void SetExpectedRuns(TArrayI* r) {fExpectedRuns = r;} | |
98 | void SetExpectedSemiGoodRuns(TArrayI* r) {fExpectedSemiGoodRuns = r;} | |
99 | void SetIntegratedFlow(TH1F* i, TH1F* j) {fUserSuppliedV2 = i; | |
100 | fUserSuppliedV3 = j; } | |
101 | void SetOnTheFlyResCorrection(TH1F* r2, TH1F* r3) {fUserSuppliedR2 = r2; | |
102 | fUserSuppliedR3 = r3; } | |
103 | void SetNameRhoSmall(TString name) {fNameSmallRho = name; } | |
104 | void SetRandomSeed(TRandom3* r) {if (fRandom) delete fRandom; fRandom = r; } | |
105 | void SetModulationFit(TF1* fit); | |
106 | void SetUseControlFit(Bool_t c); | |
107 | void SetModulationFitMinMaxP(Float_t m, Float_t n) {fMinPvalue = m; fMaxPvalue = n; } | |
108 | void SetModulationFitType(fitModulationType type) {fFitModulationType = type; } | |
109 | void SetGoodnessTest(fitGoodnessTest test) {fFitGoodnessTest = test; } | |
110 | void SetQCnRecoveryType(qcRecovery type) {fQCRecovery = type; } | |
111 | void SetModulationFitOptions(TString opt) {fFitModulationOptions = opt; } | |
112 | void SetReferenceDetector(detectorType type) {fDetectorType = type; } | |
113 | void SetAnalysisType(analysisType type) {fAnalysisType = type; } | |
114 | void SetCollisionType(collisionType type) {fCollisionType = type; } | |
115 | void SetUsePtWeight(Bool_t w) { | |
116 | fUsePtWeight = w; | |
117 | if(!fUsePtWeight) fUsePtWeightErrorPropagation = kFALSE; } | |
118 | void SetUsePtWeightErrorPropagation(Bool_t w) {fUsePtWeightErrorPropagation = w; } | |
119 | void SetRunModeType(runModeType type) {fRunModeType = type; } | |
120 | void SetAbsVertexZ(Float_t v) {fAbsVertexZ = v; } | |
121 | void SetMinDistanceRctoLJ(Float_t m) {fMinDisanceRCtoLJ = m; } | |
122 | void SetMaxNoRandomCones(Int_t m) {fMaxCones = m; } | |
123 | void SetExcludeLeadingJetsFromFit(Float_t n) {fExcludeLeadingJetsFromFit = n; } | |
124 | void SetRebinSwapHistoOnTheFly(Bool_t r) {fRebinSwapHistoOnTheFly = r; } | |
125 | void SetSaveThisPercentageOfFits(Float_t p) {fPercentageOfFits = p; } | |
126 | void SetUseV0EventPlaneFromHeader(Bool_t h) {fUseV0EventPlaneFromHeader = h;} | |
127 | // void SetExplicitOutlierCutForYear(Int_t y) {fExplicitOutlierCut = y;} | |
128 | // getters - these are used as well by AliAnalyisTaskJetFlow, so be careful when changing them | |
129 | TString GetJetsName() const {return GetJetContainer()->GetArrayName(); } | |
130 | TString GetTracksName() const {return GetParticleContainer()->GetArrayName(); } | |
131 | TString GetLocalRhoName() const {return fLocalRhoName; } | |
132 | TArrayD* GetCentralityClasses() const {return fCentralityClasses;} | |
133 | TProfile* GetResolutionParameters(Int_t h, Int_t c) const {return (h==2) ? fProfV2Resolution[c] : fProfV3Resolution[c];} | |
134 | TList* GetOutputList() const {return fOutputList;} | |
135 | AliLocalRhoParameter* GetLocalRhoParameter() const {return fLocalRho;} | |
136 | Double_t GetJetRadius() const {return GetJetContainer()->GetJetRadius();} | |
137 | /* inline */ AliEmcalJet* GetLeadingJet() { | |
138 | // return pointer to the highest pt jet (before background subtraction) within acceptance | |
139 | // only rudimentary cuts are applied on this level, hence the implementation outside of | |
140 | // the framework | |
141 | Int_t iJets(fJets->GetEntriesFast()); | |
142 | Double_t pt(0); | |
143 | AliEmcalJet* leadingJet(0x0); | |
144 | for(Int_t i(0); i < iJets; i++) { | |
145 | AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i)); | |
146 | if(!PassesSimpleCuts(jet)) continue; | |
147 | if(jet->Pt() > pt) { | |
148 | leadingJet = jet; | |
149 | pt = leadingJet->Pt(); | |
150 | } | |
151 | } | |
152 | return leadingJet; | |
153 | } | |
154 | void ExecMe() {ExecOnce();} | |
155 | AliAnalysisTaskJetV2* ReturnMe() {return this;} | |
156 | // local cuts | |
157 | void SetSoftTrackMinMaxPt(Float_t min, Float_t max) {fSoftTrackMinPt = min; fSoftTrackMaxPt = max;} | |
158 | void SetSemiGoodJetMinMaxPhi(Double_t a, Double_t b) {fSemiGoodJetMinPhi = a; fSemiGoodJetMaxPhi = b;} | |
159 | void SetSemiGoodTrackMinMaxPhi(Double_t a, Double_t b) {fSemiGoodTrackMinPhi = a; fSemiGoodTrackMaxPhi = b;} | |
160 | // numerical evaluations | |
161 | void CalculateEventPlaneVZERO(Double_t vzero[2][2]) const; | |
162 | void CalculateEventPlaneTPC(Double_t* tpc); | |
163 | void CalculateEventPlaneCombinedVZERO(Double_t* comb) const; | |
164 | void CalculateEventPlaneResolution(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc); | |
165 | void CalculateRandomCone( | |
166 | Float_t &pt, | |
167 | Float_t &eta, | |
168 | Float_t &phi, | |
169 | AliParticleContainer* tracksCont, | |
170 | AliClusterContainer* clusterCont = 0x0, | |
171 | AliEmcalJet* jet = 0x0 | |
172 | ) const; | |
173 | Double_t CalculateQC2(Int_t harm); | |
174 | Double_t CalculateQC4(Int_t harm); | |
175 | // helper calculations for the q-cumulant analysis, also used by AliAnalyisTaskJetFlow | |
176 | void QCnQnk(Int_t n, Int_t k, Double_t &reQ, Double_t &imQ); | |
177 | void QCnDiffentialFlowVectors( | |
178 | TClonesArray* pois, TArrayD* ptBins, Bool_t vpart, Double_t* repn, Double_t* impn, | |
179 | Double_t *mp, Double_t *reqn, Double_t *imqn, Double_t* mq, Int_t n); | |
180 | Double_t QCnS(Int_t i, Int_t j); | |
181 | Double_t QCnM(); | |
182 | Double_t QCnM11(); | |
183 | Double_t QCnM1111(); | |
184 | Bool_t QCnRecovery(Double_t psi2, Double_t psi3); | |
185 | // analysis details | |
186 | Bool_t CorrectRho(Double_t psi2, Double_t psi3); | |
187 | // event and track selection, also used by AliAnalyisTaskJetFlow | |
188 | /* inline */ Bool_t PassesCuts(AliVParticle* track) const { return AcceptTrack(track, 0); } | |
189 | /* inline */ Bool_t PassesCuts(AliEmcalJet* jet) { return AcceptJet(jet, 0); } | |
190 | /* inline */ Bool_t PassesCuts(AliVCluster* clus) const { return AcceptCluster(clus, 0); } | |
191 | /* inline */ Bool_t PassesSimpleCuts(AliEmcalJet* jet) { | |
192 | Float_t minPhi(GetJetContainer()->GetJetPhiMin()), maxPhi(GetJetContainer()->GetJetPhiMax()); | |
193 | Float_t minEta(GetJetContainer()->GetJetEtaMin()), maxEta(GetJetContainer()->GetJetEtaMax()); | |
194 | return (jet && jet->Pt() > 1. && jet->Eta() > minEta && jet->Eta() < maxEta && jet->Phi() > minPhi && jet->Phi() < maxPhi && jet->Area() > .557*GetJetRadius()*GetJetRadius()*TMath::Pi()); | |
195 | } | |
196 | Bool_t PassesCuts(AliVEvent* event); | |
197 | /*Bool_t PassesCuts(Int_t year);*/ | |
198 | Bool_t PassesCuts(const AliVCluster* track) const; | |
199 | // filling histograms | |
200 | void FillHistogramsAfterSubtraction(Double_t psi2, Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc); | |
201 | void FillTrackHistograms() const; | |
202 | void FillClusterHistograms() const; | |
203 | void FillEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const; | |
204 | void FillRhoHistograms(); | |
205 | void FillDeltaPtHistograms(Double_t psi2) const; | |
206 | void FillJetHistograms(Double_t psi2); | |
207 | void FillQAHistograms(AliVTrack* vtrack) const; | |
208 | void FillQAHistograms(AliVEvent* vevent); | |
209 | void FillAnalysisSummaryHistogram() const; | |
210 | virtual void Terminate(Option_t* option); | |
211 | // interface methods for the output file | |
212 | void SetOutputList(TList* l) {fOutputList = l;} | |
213 | TH1F* GetResolutionFromOuptutFile(detectorType detector, Int_t h = 2, TArrayD* c = 0x0); | |
214 | TH1F* CorrectForResolutionDiff(TH1F* v, detectorType detector, TArrayD* cen, Int_t c, Int_t h = 2); | |
215 | TH1F* CorrectForResolutionInt(TH1F* v, detectorType detector, TArrayD* cen, Int_t h = 2); | |
216 | TH1F* GetDifferentialQC(TProfile* refCumulants, TProfile* diffCumlants, TArrayD* ptBins, Int_t h); | |
217 | private: | |
218 | // analysis flags and settings | |
219 | Int_t fDebug; // debug level (0 none, 1 fcn calls, 2 verbose) | |
220 | Bool_t fRunToyMC; // run toy mc for fit routine | |
221 | Bool_t fLocalInit; //! is the analysis initialized? | |
222 | Bool_t fAttachToEvent; // attach local rho to the event | |
223 | Bool_t fFillHistograms; // fill histograms | |
224 | Bool_t fFillQAHistograms; // fill qa histograms | |
225 | Float_t fReduceBinsXByFactor; // reduce the bins on x-axis of histo's by this much | |
226 | Float_t fReduceBinsYByFactor; // reduce the bins on y-axis of histo's by this much | |
227 | Bool_t fNoEventWeightsForQC; // don't store event weights for qc analysis | |
228 | TArrayD* fCentralityClasses; //-> centrality classes (maximum 10) | |
229 | TArrayI* fExpectedRuns; //-> array of expected run numbers, used for QA | |
230 | TArrayI* fExpectedSemiGoodRuns; //-> array of expected semi-good runs, used for cuts and QA | |
231 | TH1F* fUserSuppliedV2; // histo with integrated v2 | |
232 | TH1F* fUserSuppliedV3; // histo with integrated v3 | |
233 | TH1F* fUserSuppliedR2; // correct the extracted v2 with this r | |
234 | TH1F* fUserSuppliedR3; // correct the extracted v3 with this r | |
235 | AliParticleContainer* fTracksCont; //! tracks | |
236 | AliClusterContainer* fClusterCont; //! cluster container | |
237 | AliJetContainer* fJetsCont; //! jets | |
238 | AliEmcalJet* fLeadingJet; //! leading jet | |
239 | // members | |
240 | Int_t fNAcceptedTracks; //! number of accepted tracks | |
241 | Int_t fNAcceptedTracksQCn; //! accepted tracks for QCn | |
242 | fitModulationType fFitModulationType; // fit modulation type | |
243 | fitGoodnessTest fFitGoodnessTest; // fit goodness test type | |
244 | qcRecovery fQCRecovery; // recovery type for e-by-e qc method | |
245 | Bool_t fUsePtWeight; // use dptdphi instead of dndphi | |
246 | Bool_t fUsePtWeightErrorPropagation; // recalculate the bin errors in case of pt weighting | |
247 | detectorType fDetectorType; // type of detector used for modulation fit | |
248 | analysisType fAnalysisType; // analysis type (full or charged jets) | |
249 | TString fFitModulationOptions; // fit options for modulation fit | |
250 | runModeType fRunModeType; // run mode type | |
251 | dataType fDataType; // datatype | |
252 | collisionType fCollisionType; // collision type | |
253 | TRandom3* fRandom; //-> dont use gRandom to not interfere with other tasks | |
254 | Int_t fRunNumber; //! current runnumber (for QA and jet, track selection) | |
255 | Int_t fMappedRunNumber; //! mapped runnumer (for QA) | |
256 | Int_t fInCentralitySelection; //! centrality bin | |
257 | TF1* fFitModulation; //-> modulation fit for rho | |
258 | TF1* fFitControl; //-> control fit | |
259 | Float_t fMinPvalue; // minimum value of p | |
260 | Float_t fMaxPvalue; // maximum value of p | |
261 | TString fNameSmallRho; // name of small rho | |
262 | AliRhoParameter* fCachedRho; //! temp cache for rho pointer | |
263 | // additional jet cuts (most are inherited) | |
264 | Float_t fSoftTrackMinPt; // min pt for soft tracks | |
265 | Float_t fSoftTrackMaxPt; // max pt for soft tracks | |
266 | Double_t fSemiGoodJetMinPhi; // min phi for semi good tpc runs | |
267 | Double_t fSemiGoodJetMaxPhi; // max phi for semi good tpc runs | |
268 | Double_t fSemiGoodTrackMinPhi; // min phi for semi good tpc runs | |
269 | Double_t fSemiGoodTrackMaxPhi; // max phi for semi good tpc runs | |
270 | // event cuts | |
271 | Float_t fAbsVertexZ; // cut on zvertex | |
272 | // general qa histograms | |
273 | TH1F* fHistCentrality; //! accepted centrality | |
274 | TH1F* fHistVertexz; //! accepted verte | |
275 | TH2F* fHistRunnumbersPhi; //! run numbers averaged phi | |
276 | TH2F* fHistRunnumbersEta; //! run numbers averaged eta | |
277 | TH1F* fHistPvalueCDFROOT; //! pdf value of chisquare p | |
278 | TH2F* fHistPvalueCDFROOTCent; //! p value versus centrlaity from root | |
279 | TH2F* fHistChi2ROOTCent; //! reduced chi2 from ROOT, centrality correlation | |
280 | TH2F* fHistPChi2Root; //! correlation p value and reduced chi2 | |
281 | TH1F* fHistPvalueCDF; //! cdf value of chisquare p | |
282 | TH2F* fHistPvalueCDFCent; //! p value vs centrality | |
283 | TH2F* fHistChi2Cent; //! reduced chi2, centrlaity correlation | |
284 | TH2F* fHistPChi2; //! correlation p value and reduced chi2 | |
285 | TH1F* fHistKolmogorovTest; //! KolmogorovTest value | |
286 | TH2F* fHistKolmogorovTestCent;//! KolmogorovTest value, centrality correlation | |
287 | TH2F* fHistPKolmogorov; //! p value vs kolmogorov value | |
288 | TH2F* fHistRhoStatusCent; //! status of rho as function of centrality | |
289 | TH1F* fHistUndeterminedRunQA; //! undetermined run QA | |
290 | // general settings | |
291 | Float_t fMinDisanceRCtoLJ; // min distance between rc and leading jet | |
292 | Int_t fMaxCones; // max number of random cones | |
293 | Float_t fExcludeLeadingJetsFromFit; // exclude n leading jets from fit | |
294 | Bool_t fRebinSwapHistoOnTheFly; // rebin swap histo on the fly | |
295 | Float_t fPercentageOfFits; // save this percentage of fits | |
296 | Bool_t fUseV0EventPlaneFromHeader; // use the vzero event plane from the header | |
297 | // Int_t fExplicitOutlierCut; // cut on correlation of tpc and global multiplicity | |
298 | // transient object pointers | |
299 | TList* fOutputList; //! output list | |
300 | TList* fOutputListGood; //! output list for local analysis | |
301 | TList* fOutputListBad; //! output list for local analysis | |
302 | TH1F* fHistAnalysisSummary; //! analysis summary | |
303 | TH1F* fHistSwap; //! swap histogram | |
304 | TProfile* fProfV2; //! extracted v2 | |
305 | TProfile* fProfV2Cumulant; //! v2 cumulant | |
306 | TProfile* fProfV2Resolution[10]; //! resolution parameters for v2 | |
307 | TProfile* fProfV3; //! extracted v3 | |
308 | TProfile* fProfV3Cumulant; //! v3 cumulant | |
309 | TProfile* fProfV3Resolution[10]; //! resolution parameters for v3 | |
310 | // qa histograms for accepted pico tracks | |
311 | TH1F* fHistPicoTrackPt[10]; //! pt of all charged tracks | |
312 | TH1F* fHistPicoTrackMult[10]; //! multiplicity of accepted pico tracks | |
313 | TH2F* fHistPicoCat1[10]; //! pico tracks spd hit and refit | |
314 | TH2F* fHistPicoCat2[10]; //! pico tracks wo spd hit w refit, constrained | |
315 | TH2F* fHistPicoCat3[10]; //! pico tracks wo spd hit wo refit, constrained | |
316 | // qa histograms for accepted emcal clusters | |
317 | TH1F* fHistClusterPt[10]; //! pt emcal clusters | |
318 | TH2F* fHistClusterEtaPhi[10]; //! eta phi emcal clusters | |
319 | TH2F* fHistClusterEtaPhiWeighted[10]; //! eta phi emcal clusters, pt weighted | |
320 | // qa event planes | |
321 | TProfile* fHistPsiControl; //! event plane control histogram | |
322 | TProfile* fHistPsiSpread; //! event plane spread histogram | |
323 | TH1F* fHistPsiVZEROA; //! psi 2 from vzero a | |
324 | TH1F* fHistPsiVZEROC; //! psi 2 from vzero c | |
325 | TH1F* fHistPsiVZERO; //! psi 2 from combined vzero | |
326 | TH1F* fHistPsiTPC; //! psi 2 from tpc | |
327 | TH2F* fHistPsiVZEROAV0M; //! psi 2 from vzero a | |
328 | TH2F* fHistPsiVZEROCV0M; //! psi 2 from vzero c | |
329 | TH2F* fHistPsiVZEROVV0M; //! psi 2 from combined vzero | |
330 | TH2F* fHistPsiTPCiV0M; //! psi 2 from tpc | |
331 | TH2F* fHistPsiVZEROATRK; //! psi 2 from vzero a | |
332 | TH2F* fHistPsiVZEROCTRK; //! psi 2 from vzero c | |
333 | TH2F* fHistPsiVZEROTRK; //! psi 2 from combined vzero | |
334 | TH2F* fHistPsiTPCTRK; //! psi 2 from tpc | |
335 | // background | |
336 | TH1F* fHistRhoPackage[10]; //! rho as estimated by emcal jet package | |
337 | TH1F* fHistRho[10]; //! background | |
338 | TH2F* fHistRhoVsMult; //! rho versus multiplicity | |
339 | TH2F* fHistRhoVsCent; //! rho veruss centrality | |
340 | TH2F* fHistRhoAVsMult; //! rho * A vs multiplicity for all jets | |
341 | TH2F* fHistRhoAVsCent; //! rho * A vs centrality for all jets | |
342 | // delta pt distributions | |
343 | TH2F* fHistRCPhiEta[10]; //! random cone eta and phi | |
344 | TH2F* fHistRhoVsRCPt[10]; //! rho * A vs rcpt | |
345 | TH1F* fHistRCPt[10]; //! rcpt | |
346 | TH2F* fHistDeltaPtDeltaPhi2[10]; //! dpt vs dphi (psi2 - phi) | |
347 | TH2F* fHistDeltaPtDeltaPhi2Rho0[10]; //! dpt vs dphi, rho_0 | |
348 | TH2F* fHistRCPhiEtaExLJ[10]; //! random cone eta and phi, excl leading jet | |
349 | TH2F* fHistRhoVsRCPtExLJ[10]; //! rho * A vs rcpt, excl leading jet | |
350 | TH1F* fHistRCPtExLJ[10]; //! rcpt, excl leading jet | |
351 | TH2F* fHistDeltaPtDeltaPhi2ExLJ[10]; //! dpt vs dphi, excl leading jet | |
352 | TH2F* fHistDeltaPtDeltaPhi2ExLJRho0[10]; //! dpt vs dphi, excl leading jet, rho_0 | |
353 | // jet histograms (after kinematic cuts) | |
354 | TH1F* fHistJetPtRaw[10]; //! jet pt - no background subtraction | |
355 | TH1F* fHistJetPt[10]; //! pt of found jets (background subtracted) | |
356 | TH2F* fHistJetEtaPhi[10]; //! eta and phi correlation | |
357 | TH2F* fHistJetPtArea[10]; //! jet pt versus area | |
358 | TH2F* fHistJetPtEta[10]; //! jet pt versus eta (temp control) | |
359 | TH2F* fHistJetPtConstituents[10]; //! jet pt versus number of constituents | |
360 | TH2F* fHistJetEtaRho[10]; //! jet eta versus rho | |
361 | // in plane, out of plane jet spectra | |
362 | TH2F* fHistJetPsi2Pt[10]; //! event plane dependence of jet pt | |
363 | TH2F* fHistJetPsi2PtRho0[10]; //! event plane dependence of jet pt vs rho_0 | |
364 | ||
365 | AliAnalysisTaskJetV2(const AliAnalysisTaskJetV2&); // not implemented | |
366 | AliAnalysisTaskJetV2& operator=(const AliAnalysisTaskJetV2&); // not implemented | |
367 | ||
368 | ClassDef(AliAnalysisTaskJetV2, 2); | |
369 | }; | |
370 | ||
371 | #endif |