/* $Id$ */ #ifndef ALIMULTIPLICITYCORRECTION_H #define ALIMULTIPLICITYCORRECTION_H #include "TNamed.h" // // class that contains the correction matrix and the functions for // correction the multiplicity spectrum // implements a several unfolding methods: e.g. chi2 minimization and bayesian unfolding // class TH1; class TH2; class TH1F; class TH2F; class TH3F; class TF1; class TCollection; // defined here, because it does not seem possible to predeclare these (or i do not know how) // --> // $ROOTSYS/include/TVectorDfwd.h:21: conflicting types for `typedef struct TVectorT TVectorD' // PWG0/dNdEta/AliMultiplicityCorrection.h:21: previous declaration as `struct TVectorD' #include #include #include #include class AliMultiplicityCorrection : public TNamed { public: enum EventType { kTrVtx = 0, kMB, kINEL, kNSD }; enum { kESDHists = 3, kMCHists = 4, kCorrHists = 6, kQualityRegions = 3 }; AliMultiplicityCorrection(); AliMultiplicityCorrection(const Char_t* name, const Char_t* title); virtual ~AliMultiplicityCorrection(); static AliMultiplicityCorrection* Open(const char* fileName, const char* folderName = "Multiplicity"); virtual Long64_t Merge(const TCollection* list); void FillMeasured(Float_t vtx, Int_t measured05, Int_t measured10, Int_t measured14); void FillTriggeredEvent(Int_t measured05, Int_t measured10, Int_t measured14); void FillGenerated(Float_t vtx, Bool_t triggered, Bool_t vertex, AliPWG0Helper::MCProcessType processType, Int_t generated05, Int_t generated10, Int_t generated14, Int_t generatedAll); void FillCorrection(Float_t vtx, Int_t generated05, Int_t generated10, Int_t generated14, Int_t generatedAll, Int_t measured05, Int_t measured10, Int_t measured14); void FillNoVertexEvent(Float_t vtx, Bool_t vertexReconstructed, Int_t generated05, Int_t generated10, Int_t generated14, Int_t measured05, Int_t measured10, Int_t measured14); Bool_t LoadHistograms(const Char_t* dir = 0); void SaveHistograms(const char* dir = 0); void DrawHistograms(); void Rebin2DY(TH2F*& hist, Int_t nBins, Double_t* newBins) const; void Rebin3DY(TH3F*& hist, Int_t nBins, Double_t* newBins) const; void RebinGenerated(Int_t nBins05, Double_t* newBins05, Int_t nBins10, Double_t* newBins10, Int_t nBins13, Double_t* newBins13); void DrawComparison(const char* name, Int_t inputRange, Bool_t fullPhaseSpace, Bool_t normalizeESD, TH1* mcHist, Bool_t simple = kFALSE, EventType eventType = kTrVtx); Int_t ApplyMinuitFit(Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType, Int_t zeroBinEvents, Bool_t check = kFALSE, TH1* initialConditions = 0, Bool_t errorAsBias = kFALSE); void ApplyBayesianMethod(Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType, Float_t regPar = 1, Int_t nIterations = 100, TH1* initialConditions = 0, Int_t determineError = 1); static TH1* CalculateStdDev(TH1** results, Int_t max); TH1* StatisticalUncertainty(AliUnfolding::MethodType methodType, Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType, Int_t zeroBinEvents, Bool_t randomizeMeasured, Bool_t randomizeResponse, const TH1* compareTo = 0); Int_t ApplyNBDFit(Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType); void ApplyGaussianMethod(Int_t inputRange, Bool_t fullPhaseSpace); void ApplyLaszloMethod(Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType); void Calculate0Bin(Int_t inputRange, EventType eventType, Int_t zeroBinEvents); Float_t GetFraction0Generated(Int_t inputRange); TH2F* GetMultiplicityESD(Int_t i) const { return fMultiplicityESD[i]; } TH1F* GetTriggeredEvents(Int_t i) const { return fTriggeredEvents[i]; } TH2F* GetMultiplicityVtx(Int_t i) const { return fMultiplicityVtx[i]; } TH2F* GetMultiplicityMB(Int_t i) const { return fMultiplicityMB[i]; } TH2F* GetMultiplicityINEL(Int_t i) const { return fMultiplicityINEL[i]; } TH2F* GetMultiplicityNSD(Int_t i) const { return fMultiplicityNSD[i]; } TH2F* GetMultiplicityMC(Int_t i, EventType eventType) const; TH3F* GetCorrelation(Int_t i) const { return fCorrelation[i]; } TH1F* GetNoVertexEvents(Int_t i) const { return fNoVertexEvents[i]; } TH1F* GetMultiplicityESDCorrected(Int_t i) const { return fMultiplicityESDCorrected[i]; } void SetMultiplicityESD(Int_t i, TH2F* const hist) { fMultiplicityESD[i] = hist; } void SetTriggeredEvents(Int_t i, TH1F* hist) { fTriggeredEvents[i] = hist; } void SetMultiplicityVtx(Int_t i, TH2F* const hist) { fMultiplicityVtx[i] = hist; } void SetMultiplicityMB(Int_t i, TH2F* const hist) { fMultiplicityMB[i] = hist; } void SetMultiplicityINEL(Int_t i, TH2F* const hist) { fMultiplicityINEL[i] = hist; } void SetMultiplicityNSD(Int_t i, TH2F* const hist) { fMultiplicityNSD[i] = hist; } void SetMultiplicityMC(Int_t i, EventType eventType, TH2F* const hist); void SetCorrelation(Int_t i, TH3F* const hist) { fCorrelation[i] = hist; } void SetNoVertexEvents(Int_t i, TH1F* hist) { fNoVertexEvents[i] = hist; } void SetMultiplicityESDCorrected(Int_t i, TH1F* const hist) { fMultiplicityESDCorrected[i] = hist; } void SetGenMeasFromFunc(const TF1* inputMC, Int_t id); TH2F* CalculateMultiplicityESD(TH1* inputMC, Int_t correlationMap); void FixTriggerEfficiencies(Int_t start); TH1* GetConvoluted(Int_t i, EventType eventType); TH1* GetResiduals(Int_t i, EventType eventType, Float_t& residualSum); void GetComparisonResults(Float_t* const mc = 0, Int_t* const mcLimit = 0, Float_t* const residuals = 0, Float_t* const ratioAverage = 0) const; TH1* GetEfficiency(Int_t inputRange, EventType eventType); TH1* GetTriggerEfficiency(Int_t inputRange, EventType eventType); static void SetQualityRegions(Bool_t SPDStudy); Float_t GetQuality(Int_t region) const { return fQuality[region]; } void FFT(Int_t dir, Int_t m, Double_t *x, Double_t *y) const; Float_t GetVertexBegin(Int_t i) { return fgVtxRangeBegin[i]; } Float_t GetVertexEnd(Int_t i) { return fgVtxRangeEnd[i]; } void SetVertexRange(Int_t begin, Int_t end) { fVtxBegin = begin; fVtxEnd = end; } protected: void SetupCurrentHists(Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType); Float_t BayesCovarianceDerivate(Float_t matrixM[251][251], const TH2* hResponse, Int_t k, Int_t i, Int_t r, Int_t u); TH1* fCurrentESD; //! current input esd TH2* fCurrentCorrelation; //! current correlation TH1* fCurrentEfficiency; //! current efficiency TH2F* fMultiplicityESD[kESDHists]; // multiplicity histogram: vtx vs multiplicity; array: |eta| < 0.5, 1.0, 1.4 (0..2) TH1F* fTriggeredEvents[kESDHists]; // (raw) multiplicity distribution of triggered events; array: |eta| < 0.5, 1.0, 1.4 (0..2) TH1F* fNoVertexEvents[kESDHists]; // distribution of true multiplicity just of triggered events without vertex or with 0 tracklets; array: |eta| < 0.5, 1.0, 1.4 (0..2) TH2F* fMultiplicityVtx[kMCHists]; // multiplicity histogram of events that have a reconstructed vertex : vtx vs multiplicity; array: |eta| < 0.5, 1.0, 1.4, inf (0..3) TH2F* fMultiplicityMB[kMCHists]; // multiplicity histogram of triggered events : vtx vs multiplicity; array: |eta| < 0.5, 1.0, 1.4, inf (0..3) TH2F* fMultiplicityINEL[kMCHists]; // multiplicity histogram of all (inelastic) events : vtx vs multiplicity; array: |eta| < 0.5, 1.0, 1.4, inf (0..3) TH2F* fMultiplicityNSD[kMCHists]; // multiplicity histogram of NSD events : vtx vs multiplicity; array: |eta| < 0.5, 1.0, 1.4, inf (0..3) TH3F* fCorrelation[kCorrHists]; // vtx vs. (gene multiplicity (trig+vtx)) vs. (meas multiplicity); array: |eta| < 0.5, 1, 1.4, (0..2 and 3..5), the first corrects to the eta range itself, the second to full phase space TH1F* fMultiplicityESDCorrected[kCorrHists]; // corrected histograms Int_t fLastBinLimit; //! last bin limit, determined in SetupCurrentHists() Float_t fLastChi2MC; //! last Chi2 between MC and unfolded ESD (calculated in DrawComparison) Int_t fLastChi2MCLimit; //! bin where the last chi2 breached a certain threshold, used to evaluate the multiplicity reach (calc. in DrawComparison) Float_t fLastChi2Residuals; //! last Chi2 of the ESD and the folded unfolded ESD (calculated in DrawComparison) Float_t fRatioAverage; //! last average of |ratio-1| where ratio = unfolded / mc (bin 2..150) Int_t fVtxBegin; //! vertex range for analysis Int_t fVtxEnd; //! vertex range for analysis static Double_t fgVtxRangeBegin[kESDHists]; //! begin of allowed vertex range for this eta bin static Double_t fgVtxRangeEnd[kESDHists]; //! end of allowed vertex range for this eta bin static Int_t fgQualityRegionsB[kQualityRegions]; //! begin, given in multiplicity units static Int_t fgQualityRegionsE[kQualityRegions]; //! end Float_t fQuality[kQualityRegions]; //! stores the quality of the last comparison (calculated in DrawComparison). Contains 3 values that are averages of (MC - unfolded) / e(MC) in 3 regions, these are defined in fQualityRegionB,E private: AliMultiplicityCorrection(const AliMultiplicityCorrection&); AliMultiplicityCorrection& operator=(const AliMultiplicityCorrection&); ClassDef(AliMultiplicityCorrection, 7); }; #endif