1 #ifndef ALIANALYSISTASKJETCLUSTER_H
2 #define ALIANALYSISTASKJETCLUSTER_H
4 /* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
5 * See cxx source for full Copyright notice */
7 // **************************************
8 // task used for comparing different jets D parmaters from fastjet
9 // *******************************************
11 #include "AliAnalysisTaskSE.h"
12 #include "THnSparse.h" // cannot forward declare ThnSparseF
13 #include "fastjet/ClusterSequenceArea.hh"
14 #include "fastjet/AreaDefinition.hh"
15 #include "fastjet/JetDefinition.hh"
16 #include "fastjet/PseudoJet.hh"
22 class AliAODExtension;
24 class AliGenPythiaEventHeader;
26 class AliAODJetEventBackground;
39 class AliAnalysisTaskJetCluster : public AliAnalysisTaskSE
42 AliAnalysisTaskJetCluster();
43 AliAnalysisTaskJetCluster(const char* name);
44 virtual ~AliAnalysisTaskJetCluster();
45 // Implementation of interface methods
46 virtual void UserCreateOutputObjects();
47 virtual void LocalInit();
48 virtual void UserExec(Option_t *option);
49 virtual void Terminate(Option_t *option);
50 virtual Bool_t Notify();
53 virtual void SetAODTrackInput(Bool_t b){fUseAODTrackInput = b;}
54 virtual void SetAODMCInput(Bool_t b){fUseAODMCInput = b;}
55 virtual void SetEventSelection(Bool_t b){fEventSelection = b;}
56 virtual void SetRecEtaWindow(Float_t f){fRecEtaWindow = f;}
57 virtual void SetTrackEtaWindow(Float_t f){fTrackEtaWindow = f;}
58 virtual void SetTrackTypeGen(Int_t i){fTrackTypeGen = i;}
59 virtual void SetTrackTypeRec(Int_t i){fTrackTypeRec = i;}
60 virtual void SetTrackPtCut(Float_t x){fTrackPtCut = x;}
61 virtual void SetCentralityCut(Float_t xLo,Float_t xUp){fCentCutLo = xLo; fCentCutUp = xUp;}
62 virtual void SetFilterMask(UInt_t i,Int_t iType = 0){fFilterMask = i;
64 virtual void SetFilterMaskBestPt(UInt_t i){fFilterMaskBestPt = i;}
66 virtual void SetJetTypes(UInt_t i){fJetTypes = i;}
67 virtual void SetJetTriggerPtCut(Float_t x){fJetTriggerPtCut = x;}
68 virtual void SetVtxCuts(Float_t z,Float_t r = 1){fVtxZCut = z; fVtxR2Cut = r *r;}
69 virtual void SetBackgroundBranch(const char* c){fBackgroundBranch = c;}
70 virtual const char* GetBackgroundBranch(){return fBackgroundBranch.Data();}
71 virtual void SetNSkipLeadingRan(Int_t x){fNSkipLeadingRan = x;}
72 virtual void SetNSkipLeadingCone(Int_t x){fNSkipLeadingCone = x;}
73 virtual void SetNRandomCones(Int_t x){fNRandomCones = x;}
75 virtual void SetJetOutputBranch(const char *c){fNonStdBranch = c;}
76 virtual const char* GetJetOutputBranch(){return fNonStdBranch.Data();}
77 virtual void SetJetOutputFile(const char *c){fNonStdFile = c;}
78 virtual const char* GetJetOutputFile(){return fNonStdFile.Data();}
79 virtual void SetMaxTrackPtInJet(Float_t x){fMaxTrackPtInJet = x;}
80 virtual void SetJetOutputMinPt(Float_t x){fJetOutputMinPt = x;}
81 virtual void SetBackgroundCalc(Bool_t b){fUseBackgroundCalc = b;}
82 virtual void SetStoreRhoLeadingTrackCorr(Bool_t b) {fStoreRhoLeadingTrackCorr=b;}
84 //Setters for detector level effects
85 virtual void SetUseTrResolutionFromOADB(Bool_t b=kTRUE, TString path="$ALICE_ROOT/OADB/PWGJE/Resolution/PtResol_LHCh_Cent0-10_v1.root") {fUseTrPtResolutionFromOADB = b; fPathTrPtResolution=path;}
86 virtual void SetUseTrEfficiencyFromOADB(Bool_t b=kTRUE, TString path="$ALICE_ROOT/OADB/PWGJE/Efficiency/Efficiency_LHC11a2aj_Cent0_v1.root") {fUseTrEfficiencyFromOADB = b; fPathTrEfficiency=path;}
87 virtual void LoadTrEfficiencyRootFileFromOADB();
88 virtual void LoadTrPtResolutionRootFileFromOADB();
89 virtual void SetChangeEfficiencyFraction(Double_t p) {fChangeEfficiencyFraction = p;}
90 virtual void SetSmearResolution(Bool_t b){fUseTrPtResolutionSmearing = b;}
91 virtual void SetDiceEfficiency(Bool_t b){fUseDiceEfficiency = b;}
92 virtual void SetDiceEfficiencyMinPt(Double_t pt) {fDiceEfficiencyMinPt = pt;}
93 virtual void SetMomentumResolutionHybrid(TProfile *p1, TProfile *p2, TProfile *p3);
94 virtual void SetEfficiencyHybrid(TH1 *h1, TH1 *h2, TH1 *h3);
96 Double_t GetMomentumSmearing(Int_t cat, Double_t pt);
97 void FitMomentumResolution();
101 fastjet::JetAlgorithm GetAlgorithm() const {return fAlgorithm;}
102 fastjet::Strategy GetStrategy() const {return fStrategy;}
103 fastjet::RecombinationScheme GetRecombScheme() const {return fRecombScheme;}
104 fastjet::AreaType GetAreaType() const {return fAreaType;}
106 void SetRparam(Double_t f) {fRparam = f;}
107 void SetAlgorithm(fastjet::JetAlgorithm f) {fAlgorithm = f;}
108 void SetStrategy(fastjet::Strategy f) {fStrategy = f;}
109 void SetRecombScheme(fastjet::RecombinationScheme f) {fRecombScheme = f;}
110 void SetAreaType(fastjet::AreaType f) {fAreaType = f;}
111 void SetGhostArea(Double_t f) {fGhostArea = f;}
112 void SetActiveAreaRepeats(Int_t f) {fActiveAreaRepeats = f;}
113 void SetGhostEtamax(Double_t f) {fGhostEtamax = f;}
120 // we have different cases
121 // AOD reading -> MC from AOD
122 // ESD reading -> MC from Kinematics
123 // this has to match with our selection of input events
124 enum {kTrackUndef = 0, kTrackAOD, kTrackKineAll,kTrackKineCharged, kTrackAODMCAll, kTrackAODMCCharged, kTrackAODMCChargedAcceptance, kTrackAODextra, kTrackAODextraonly};
126 enum {kMaxCorrelation = 3};
127 enum {kMaxRadius = 5};
138 AliAnalysisTaskJetCluster(const AliAnalysisTaskJetCluster&);
139 AliAnalysisTaskJetCluster& operator=(const AliAnalysisTaskJetCluster&);
141 Int_t GetListOfTracks(TList *list,Int_t type);
143 AliAODEvent *fAOD; // ! where we take the jets from can be input or output AOD
144 AliAODExtension *fAODExtension; // ! AOD extension in case we write a non-sdt branch to a separate file and the aod is standard
145 TRefArray *fRef; // ! trefarray for track references within the jet
146 Bool_t fUseAODTrackInput; // take track from input AOD not from ouptu AOD
147 Bool_t fUseAODMCInput; // take MC from input AOD not from ouptu AOD
148 Bool_t fUseBackgroundCalc; // switches on background calculations
149 Bool_t fEventSelection; // use the event selection of this task, otherwise analyse all
150 UInt_t fFilterMask; // filter bit for slecected tracks
151 UInt_t fFilterMaskBestPt; // filter bit to mark jets with high quality leading tracks
153 UInt_t fFilterType; // filter type 0 = all, 1 = ITSTPC, 2 = TPC
154 UInt_t fJetTypes; // 1<<0 regular jets, 1<<1 << randomized event 1<<2 random cones 1<<3 random cones randomiuzed event
155 Int_t fTrackTypeRec; // type of tracks used for FF
156 Int_t fTrackTypeGen; // type of tracks used for FF
157 Int_t fNSkipLeadingRan; // number of leading tracks to be skipped in the randomized event
158 Int_t fNSkipLeadingCone; // number of leading jets to be for the random cones
159 Int_t fNRandomCones; // number of generated random cones
160 Float_t fAvgTrials; // Average nimber of trials
161 Float_t fExternalWeight; // external weight
162 Float_t fTrackEtaWindow; // eta window used for corraltion plots between rec and gen
163 Float_t fRecEtaWindow; // eta window used for corraltion plots between rec and gen
164 Float_t fTrackPtCut; // minimum track pt to be accepted
165 Float_t fJetOutputMinPt; // minimum p_t for jets to be written out
166 Float_t fMaxTrackPtInJet; // maximum track pt within a jet for flagging...
167 Float_t fJetTriggerPtCut; // minimum jwt pT for AOD to be written
168 Float_t fVtxZCut; // zvtx cut
169 Float_t fVtxR2Cut; // R vtx cut (squared)
170 Float_t fCentCutUp; // upper limit on centrality
171 Float_t fCentCutLo; // lower limit on centrality
173 Bool_t fStoreRhoLeadingTrackCorr; //store histos with rho correlation to leading track in event
175 // output configurartion
176 TString fNonStdBranch; // the name of the non-std branch name, if empty no branch is filled
177 TString fBackgroundBranch; // name of the branch used for background subtraction
178 TString fNonStdFile; // The optional name of the output file the non-std branch is written to
180 //Detector level effects
181 TProfile *fMomResH1; // Momentum resolution from TrackQA Hybrid Category 1
182 TProfile *fMomResH2; // Momentum resolution from TrackQA Hybrid Category 2
183 TProfile *fMomResH3; // Momentum resolution from TrackQA Hybrid Category 3
184 TF1 *fMomResH1Fit; //fit
185 TF1 *fMomResH2Fit; //fit
186 TF1 *fMomResH3Fit; //fit
188 TH1 *fhEffH1; // Efficiency for Spectra Hybrid Category 1
189 TH1 *fhEffH2; // Efficiency for Spectra Hybrid Category 2
190 TH1 *fhEffH3; // Efficiency for Spectra Hybrid Category 3
191 Bool_t fUseTrPtResolutionSmearing; // Apply momentum smearing on track level
192 Bool_t fUseDiceEfficiency; // Apply efficiency on track level by dicing
193 Double_t fDiceEfficiencyMinPt; // Only do efficiency dicing for tracks above this pt
194 Bool_t fUseTrPtResolutionFromOADB; // Load track pt resolution root file from OADB path
195 Bool_t fUseTrEfficiencyFromOADB; // Load tracking efficiency root file from OADB path
196 TString fPathTrPtResolution; // OADB path to root file
197 TString fPathTrEfficiency; // OADB path to root file
198 Double_t fChangeEfficiencyFraction; //change efficiency by fraction
202 Double_t fRparam; // fastjet distance parameter
203 fastjet::JetAlgorithm fAlgorithm; //fastjet::kt_algorithm
204 fastjet::Strategy fStrategy; //= fastjet::Best;
205 fastjet::RecombinationScheme fRecombScheme; // = fastjet::BIpt_scheme;
206 fastjet::AreaType fAreaType; // fastjet area type
207 Double_t fGhostArea; // fasjet ghost area
208 Int_t fActiveAreaRepeats; // fast jet active area repeats
209 Double_t fGhostEtamax; // fast jet ghost area
211 TClonesArray *fTCAJetsOut; //! TCA of output jets
212 TClonesArray *fTCAJetsOutRan; //! TCA of output jets in randomized event
213 TClonesArray *fTCARandomConesOut; //! TCA of output jets in randomized event
214 TClonesArray *fTCARandomConesOutRan; //! TCA of output jets in randomized event
215 AliAODJetEventBackground *fAODJetBackgroundOut; //! jet background to be written out
217 TRandom3* fRandom; //! random number generator
218 TProfile* fh1Xsec; //! pythia cross section and trials
219 TH1F* fh1Trials; //! trials are added
220 TH1F* fh1PtHard; //! Pt har of the event...
221 TH1F* fh1PtHardNoW; //! Pt har of the event without weigt
222 TH1F* fh1PtHardTrials; //! Number of trials
224 TH1F* fh1NJetsRec; //! number of reconstructed jets
225 TH1F* fh1NConstRec;//! number of constiutens in leading jet
226 TH1F* fh1NConstLeadingRec;//! number of constiutens in leading jet
227 TH1F* fh1PtJetsRecIn; //! Jet pt for all jets
228 TH1F* fh1PtJetsLeadingRecIn; //! Jet pt for all jets
229 TH1F* fh1PtJetConstRec;//! pt of constituents
230 TH1F* fh1PtJetConstLeadingRec;// pt of constituents
231 TH1F* fh1PtTracksRecIn; //! track pt for all tracks
232 TH1F* fh1PtTracksLeadingRecIn; //! track pt for all tracks
234 // Randomized track histos
235 TH1F* fh1NJetsRecRan; //! number of reconstructed jets from randomized
236 TH1F* fh1NConstRecRan;//! number of constiutens in leading jet
237 TH1F* fh1PtJetsLeadingRecInRan; //! Jet pt for all jets
238 TH1F* fh1NConstLeadingRecRan;//! number of constiutens in leading jet
239 TH1F* fh1PtJetsRecInRan; //! Jet pt for all jets
241 TH1F* fh1PtTracksGenIn; //! track pt for all tracks
242 TH1F* fh1Nch; //! charged particle mult
243 TH1F* fh1BiARandomCones[3]; //! Residual distribtion from reandom cones on real event
244 TH1F* fh1BiARandomConesRan[3]; //! Residual distribtion from reandom cones on random event
245 TH1F* fh1CentralityPhySel; // ! centrality of anaylsed events
246 TH1F* fh1Centrality; // ! centrality of anaylsed events
247 TH1F* fh1CentralitySelect; // ! centrality of selected events
248 TH1F* fh1ZPhySel; // ! centrality of anaylsed events
249 TH1F* fh1Z; // ! centrality of anaylsed events
250 TH1F* fh1ZSelect; // ! centrality of selected events
253 TH2F* fh2NRecJetsPt; //! Number of found jets above threshold
254 TH2F* fh2NRecTracksPt; //! Number of found tracks above threshold
255 TH2F* fh2NConstPt; //! number of constituents vs. pt
256 TH2F* fh2NConstLeadingPt; //! number of constituents vs. pt
257 TH2F* fh2JetPhiEta; //! jet phi eta
258 TH2F* fh2LeadingJetPhiEta; //! leading jet phi eta
259 TH2F* fh2JetEtaPt; //! leading jet eta
260 TH2F* fh2LeadingJetEtaPt; //! leading jet eta
261 TH2F* fh2TrackEtaPt; //! track eta
262 TH2F* fh2LeadingTrackEtaPt; //! leading track eta
263 TH2F* fh2JetsLeadingPhiEta; //! jet phi eta
264 TH2F* fh2JetsLeadingPhiPt; //! jet correlation with leading jet
265 TH2F* fh2TracksLeadingPhiEta; //! track correlation with leading track
266 TH2F* fh2TracksLeadingPhiPt; //! track correlation with leading track
267 TH2F* fh2TracksLeadingJetPhiPt; //! track correlation with leading Jet
268 TH2F* fh2JetsLeadingPhiPtW; //! jet correlation with leading jet
269 TH2F* fh2TracksLeadingPhiPtW; //! track correlation with leading track
270 TH2F* fh2TracksLeadingJetPhiPtW; //! track correlation with leading Jet
271 TH2F* fh2NRecJetsPtRan; //! Number of found jets above threshold
272 TH2F* fh2NConstPtRan; //! number of constituents vs. pt
273 TH2F* fh2NConstLeadingPtRan; //! number of constituents vs. pt
274 TH2F* fh2PtNch; //! p_T of cluster vs. multiplicity,
275 TH2F* fh2PtNchRan; //! p_T of cluster vs. multiplicity,random
276 TH2F* fh2PtNchN; //! p_T of cluster vs. multiplicity, weigthed with constituents
277 TH2F* fh2PtNchNRan; //! p_T of cluster vs. multiplicity, weigthed with constituents random
278 TH2F* fh2TracksLeadingJetPhiPtRan; //! track correlation with leading Jet
279 TH2F* fh2TracksLeadingJetPhiPtWRan; //! track correlation with leading Jet
282 TH2F* fh2JetsLeadingPhiPtC[kMaxCent]; //! jet correlation with leading jet
283 TH2F* fh2JetsLeadingPhiPtWC[kMaxCent]; //! jet correlation with leading jet
284 TH2F* fh2TracksLeadingJetPhiPtC[kMaxCent]; //! track correlation with leading Jet
285 TH2F* fh2TracksLeadingJetPhiPtWC[kMaxCent]; //! track correlation with leading Jet
287 TH2F* fh2CentvsRho; //! centrality vs background density full event
288 TH2F* fh2CentvsSigma; //! centrality vs sigma full event
289 TH2F* fh2MultvsRho; //! multiplicity vs background density full event
290 TH2F* fh2MultvsSigma; //! multiplicity vs sigma full event
292 TH3F* fh3CentvsRhoLeadingTrackPtQ1; //! centrality vs background density vs pt leading track near side
293 TH3F* fh3CentvsRhoLeadingTrackPtQ2; //! centrality vs background density vs pt leading track perpendicular (+0.5*\pi)
294 TH3F* fh3CentvsRhoLeadingTrackPtQ3; //! centrality vs background density vs pt leading track away side
295 TH3F* fh3CentvsRhoLeadingTrackPtQ4; //! centrality vs background density vs pt leading track perpendicular (-0.5*\pi)
297 TH3F* fh3CentvsSigmaLeadingTrackPtQ1; //! centrality vs sigma vs pt leading track near side
298 TH3F* fh3CentvsSigmaLeadingTrackPtQ2; //! centrality vs sigma vs pt leading track perpendicular (+0.5*\pi)
299 TH3F* fh3CentvsSigmaLeadingTrackPtQ3; //! centrality vs sigma vs pt leading track away side
300 TH3F* fh3CentvsSigmaLeadingTrackPtQ4; //! centrality vs sigma vs pt leading track perpendicular (-0.5*\pi)
302 TH3F* fh3MultvsRhoLeadingTrackPtQ1; //! multiplicity vs background density vs pt leading track near side
303 TH3F* fh3MultvsRhoLeadingTrackPtQ2; //! multiplicity vs background density vs pt leading track perpendicular (+0.5*\pi)
304 TH3F* fh3MultvsRhoLeadingTrackPtQ3; //! multiplicity vs background density vs pt leading track away side
305 TH3F* fh3MultvsRhoLeadingTrackPtQ4; //! multiplicity vs background density vs pt leading track perpendicular (-0.5*\pi)
307 TH3F* fh3MultvsSigmaLeadingTrackPtQ1; //! multiplicity vs sigma vs pt leading track near side
308 TH3F* fh3MultvsSigmaLeadingTrackPtQ2; //! multiplicity vs sigma vs pt leading track perpendicular (+0.5*\pi)
309 TH3F* fh3MultvsSigmaLeadingTrackPtQ3; //! multiplicity vs sigma vs pt leading track away side
310 TH3F* fh3MultvsSigmaLeadingTrackPtQ4; //! multiplicity vs sigma vs pt leading track perpendicular (-0.5*\pi)
312 //Histos for detector level effects from toy model
313 TH2F *fh2PtGenPtSmeared; //! Control histo smeared momentum
314 TProfile *fp1Efficiency; //! Control profile efficiency
315 TProfile *fp1PtResolution; //! Control profile for pT resolution
317 TList *fHistList; //!leading tracks to be skipped in the randomized event Output list
320 ClassDef(AliAnalysisTaskJetCluster, 20)