X-Git-Url: http://git.uio.no/git/?p=u%2Fmrichter%2FAliRoot.git;a=blobdiff_plain;f=PWG4%2FJetTasks%2FAliPWG4HighPtTrackQA.h;h=6cfe2181bf45b4393ed27b3b5ddb22d66175b2aa;hp=83c266f1700c1b4e72b8b210c5c582fb7cd5a9e6;hb=44684f3b81ac7c883877837fc11ecb362f7d8e57;hpb=d756027fa42566c20fcffbb3ccfbb310ba08a8a5

diff --git a/PWG4/JetTasks/AliPWG4HighPtTrackQA.h b/PWG4/JetTasks/AliPWG4HighPtTrackQA.h
index 83c266f1700..6cfe2181bf4 100644
--- a/PWG4/JetTasks/AliPWG4HighPtTrackQA.h
+++ b/PWG4/JetTasks/AliPWG4HighPtTrackQA.h
@@ -14,7 +14,8 @@
  **************************************************************************/
 
 //-----------------------------------------------------------------------
-// This class compares the global reconstruction with the MC information
+// This class stores QA variables as function of pT for different type
+// of tracks and track selection criteria
 // Author : Marta Verweij - UU
 //-----------------------------------------------------------------------
 
@@ -35,6 +36,7 @@ class AliESDEvent;
 class AliESDtrackCuts;
 class AliESDVertex;
 class AliAODTrack;
+class AliESDtrack;
 
 class AliGenPythiaEventHeader;
 class AliMCEvent;
@@ -60,20 +62,26 @@ class AliPWG4HighPtTrackQA: public AliAnalysisTaskSE {
   Int_t CalculateCentrality(AliVEvent *ev);
   Int_t CalculateCentrality(AliESDEvent *esd);
   Int_t CalculateCentrality(AliAODEvent *aod);
+  Int_t GetCentralityClass(Float_t cent=-1.);
   void DoAnalysisESD();
   void DoAnalysisAOD();
   void FillHistograms();
 
+  void FillSystematicCutHist(AliESDtrack *track);
 
   //Setters
   void SetDataType(DataType d)             {fDataType = d;}
   void SetIsPbPb(Bool_t cs)                {fIsPbPb = cs;}
   void SetCentralityClass(int cent)        {fCentClass=cent;}
   void SetCuts(AliESDtrackCuts* trackCuts) {fTrackCuts = trackCuts;}
+  void SetCutsITSLoose(AliESDtrackCuts* trackCuts) {fTrackCutsITSLoose = trackCuts;}
+  void SetCutsTPConly(AliESDtrackCuts* trackCuts) {fTrackCutsTPConly = trackCuts;}
   void SetTrackType(Int_t trackType) {fTrackType = trackType;}
   void SetFilterMask(UInt_t filterMask)    {fFilterMask = filterMask;}
 
+  void SetSigmaConstrainedMax(Double_t sigma) {fSigmaConstrainedMax=sigma;}
   void SetPtMax(Float_t ptmax) {fPtMax = ptmax;}
+  void SetPtBinEdges(Int_t region, Double_t ptmax, Double_t ptBinWidth);
   void SetNVariables(Int_t nv) {fNVariables = nv;}
 
   Float_t GetPtMax()           {return fPtMax;}
@@ -90,17 +98,21 @@ class AliPWG4HighPtTrackQA: public AliAnalysisTaskSE {
 
   DataType fDataType;             //! kESD or kAOD
 
-  AliVEvent   *fEvent;
-  AliESDEvent *fESD;      //! ESD object
+  AliVEvent   *fEvent;            //! AliVEvent object
+  AliESDEvent *fESD;              //! ESD object
   const AliESDVertex   *fVtx;     //! vertex object
 
-  AliESDtrackCuts *fTrackCuts;    // TrackCuts
-  Int_t   fTrackType;             // 0: global track; 1:TPConly track 2: TPConly constrained track 3: global ITSrefit
-  UInt_t fFilterMask;             //! Select tracks from specific track cuts belonging to certain filter mask for AOD analysis
+  AliESDtrackCuts *fTrackCuts;         // TrackCuts
+  AliESDtrackCuts *fTrackCutsITSLoose; //Loose ITS track cuts
+  AliESDtrackCuts *fTrackCutsTPConly;  //TPC track cuts
+  Int_t   fTrackType;                  // 0: global track; 1:TPConly track 2: TPConly constrained track 3: global ITSrefit 4: TPConly constrained track with QA selection based on global track
+  UInt_t fFilterMask;                  //! Select tracks from specific track cuts belonging to certain filter mask for AOD analysis
 
+  Double_t fSigmaConstrainedMax;  // max sigma on constrained fit
   Float_t fPtMax;                 // Maximum pT for histograms
+  Float_t fPtBinEdges[3][2];      // 3 regions total with different binning for pT axis of histos
 
-  Bool_t   fIsPbPb;               //  kTRUE if PbPb
+  Bool_t   fIsPbPb;               // kTRUE if PbPb
   Int_t fCentClass;               // Select only events from predefined centrality class
 
   /*
@@ -149,11 +161,30 @@ class AliPWG4HighPtTrackQA: public AliAnalysisTaskSE {
   TH2F *fPtChi2C;                              //! Pt vs Chi2C
   TH2F *fPtNSigmaToVertex;                     //! Pt vs nSigmaToVertex
   TH2F *fPtRelUncertainty1Pt;                  //! Pt vs relUncertainty1Pt
+  TH2F *fPtUncertainty1Pt;                     //! Pt vs Uncertainty1Pt
   TH2F *fPtChi2PerClusterTPC;                  //! Pt vs Chi2PerClusterTPC
   TH2F *fPtNCrossedRows;                       //! Pt vs NCrossedRows
   TH2F *fPtNCrossedRowsNClusF;                 //! Pt vs NCrossedRows/NClusF
   TH3F *fPtNCrRNCrRNClusF;                     //! Pt vs NCrossedRows vs NCrossedRows/NClusF 
 
+  //histos for covariance matrix elements
+  TH2F *fPtSigmaY2;                            //! 1/Pt vs sigma(y) extCov[0]
+  TH2F *fPtSigmaZ2;                            //! 1/Pt vs sigma(z) extCov[2]
+  TH2F *fPtSigmaSnp2;                          //! 1/Pt vs sigma(Snp) extCov[5]
+  TH2F *fPtSigmaTgl2;                          //! 1/Pt vs sigma(Tgl) extCov[9]
+  TH2F *fPtSigma1Pt2;                          //! 1/Pt vs sigma(1/pT) extCov[14]
+
+  //profiles for covariance matrix elements
+  TProfile *fProfPtSigmaY2;                    //! 1/Pt vs sigma(y) extCov[0]
+  TProfile *fProfPtSigmaZ2;                    //! 1/Pt vs sigma(z) extCov[2]
+  TProfile *fProfPtSigmaSnp2;                  //! 1/Pt vs sigma(Snp) extCov[5]
+  TProfile *fProfPtSigmaTgl2;                  //! 1/Pt vs sigma(Tgl) extCov[9]
+  TProfile *fProfPtSigma1Pt2;                  //! 1/Pt vs sigma(1/pT) extCov[14]
+
+  TProfile *fProfPtSigma1Pt;                   //! pT vs sigma(1/Pt)
+  TProfile *fProfPtPtSigma1Pt;                 //! pT vs pT*sigma(1/Pt)
+
+  TH1F *fSystTrackCuts;                        //! Bookkeeping for track cuts
 
   TList *fHistList; //! List of Histograms