class AliMultiplicityCorrection : public TNamed {
public:
enum EventType { kTrVtx = 0, kMB, kINEL };
- enum RegularizationType { kNone = 0, kPol0, kPol1, kEntropy, kCurvature, kTest };
+ enum RegularizationType { kNone = 0, kPol0, kPol1, kLog, kEntropy, kCurvature };
+ enum { kESDHists = 4, kMCHists = 5, kCorrHists = 8, kQualityRegions = 3 };
AliMultiplicityCorrection();
AliMultiplicityCorrection(const Char_t* name, const Char_t* title);
void FillCorrection(Float_t vtx, Int_t generated05, Int_t generated10, Int_t generated15, Int_t generated20, Int_t generatedAll, Int_t measured05, Int_t measured10, Int_t measured15, Int_t measured20);
- Bool_t LoadHistograms(const Char_t* dir);
+ Bool_t LoadHistograms(const Char_t* dir = 0);
void SaveHistograms();
void DrawHistograms();
void DrawComparison(const char* name, Int_t inputRange, Bool_t fullPhaseSpace, Bool_t normalizeESD, TH1* mcHist, Bool_t simple = kFALSE);
void ApplyNBDFit(Int_t inputRange, Bool_t fullPhaseSpace);
- void ApplyBayesianMethod(Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType, Float_t regPar = 0.1, Int_t nIterations = 15, TH1* inputDist = 0);
+ void ApplyBayesianMethod(Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType, Float_t regPar = 1, Int_t nIterations = 100, TH1* inputDist = 0, Bool_t determineError = kTRUE);
+ TH1* BayesianStatisticsEffect(Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType, Bool_t randomizeMeasured, Bool_t randomizeResponse, Float_t regPar = 1, Int_t nIterations = 100, TH1* compareTo = 0);
void ApplyGaussianMethod(Int_t inputRange, Bool_t fullPhaseSpace);
TH3F* GetCorrelation(Int_t i) { return fCorrelation[i]; }
TH1F* GetMultiplicityESDCorrected(Int_t i) { return fMultiplicityESDCorrected[i]; }
- void SetMultiplicityESD(Int_t i, TH2F* hist) { fMultiplicityESD[i] = hist; }
- void SetMultiplicityVtx(Int_t i, TH2F* hist) { fMultiplicityVtx[i] = hist; }
- void SetMultiplicityMB(Int_t i, TH2F* hist) { fMultiplicityMB[i] = hist; }
+ void SetMultiplicityESD(Int_t i, TH2F* hist) { fMultiplicityESD[i] = hist; }
+ void SetMultiplicityVtx(Int_t i, TH2F* hist) { fMultiplicityVtx[i] = hist; }
+ void SetMultiplicityMB(Int_t i, TH2F* hist) { fMultiplicityMB[i] = hist; }
void SetMultiplicityINEL(Int_t i, TH2F* hist) { fMultiplicityINEL[i] = hist; }
void SetCorrelation(Int_t i, TH3F* hist) { fCorrelation[i] = hist; }
void SetMultiplicityESDCorrected(Int_t i, TH1F* hist) { fMultiplicityESDCorrected[i] = hist; }
static void NormalizeToBinWidth(TH1* hist);
static void NormalizeToBinWidth(TH2* hist);
- void GetComparisonResults(Float_t* mc, Int_t* mcLimit, Float_t* residuals);
+ void GetComparisonResults(Float_t* mc = 0, Int_t* mcLimit = 0, Float_t* residuals = 0, Float_t* ratioAverage = 0);
- protected:
- enum { kESDHists = 4, kMCHists = 5, kCorrHists = 8 };
+ TH1* GetEfficiency(Int_t inputRange, EventType eventType);
+
+ static void SetQualityRegions(Bool_t SPDStudy);
+ Float_t GetQuality(Int_t region) { return fQuality[region]; }
+
+ void FFT(Int_t dir, Int_t m, Double_t *x, Double_t *y);
+ protected:
static const Int_t fgMaxParams; // bins in unfolded histogram = number of fit params
static const Int_t fgMaxInput; // bins in measured histogram
static Double_t RegularizationPol1(TVectorD& params);
static Double_t RegularizationTotalCurvature(TVectorD& params);
static Double_t RegularizationEntropy(TVectorD& params);
- static Double_t RegularizationTest(TVectorD& params);
+ static Double_t RegularizationLog(TVectorD& params);
static void MinuitFitFunction(Int_t&, Double_t*, Double_t& chi2, Double_t *params, Int_t);
static void MinuitNBD(Int_t& unused1, Double_t* unused2, Double_t& chi2, Double_t *params, Int_t unused3);
void SetupCurrentHists(Int_t inputRange, Bool_t fullPhaseSpace, EventType eventType, Bool_t createBigBin);
- Float_t BayesCovarianceDerivate(Float_t matrixM[251][251], TH2* hResponse, TH1* fCurrentEfficiency, Int_t k, Int_t i, Int_t r, Int_t u);
+ Float_t BayesCovarianceDerivate(Float_t matrixM[251][251], TH2* hResponse, Int_t k, Int_t i, Int_t r, Int_t u);
+ TH1* UnfoldWithBayesian(TH1* measured, Float_t regPar, Int_t nIterations, TH1* inputDist);
static TH1* fCurrentESD; // static variable to be accessed by MINUIT
static TH1* fCurrentCorrelation; // static variable to be accessed by MINUIT
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)
+
+ 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&);