GFFitHistFrac

class GFFitHistFrac : public TObject

    private:

      static Double_t FitFunc1D(Double_t* x, Double_t* par)

    protected:

      Bool_t CheckConsistency()

    public:

                      GFFitHistFrac()
                      GFFitHistFrac(const TH1* dataHist, const TObjArray* mcHists)
                      GFFitHistFrac(const GFFitHistFrac&)
              virtual ~GFFitHistFrac()
       static TClass* Class()
              TArrayD Fit()
              TArrayD Fit(const TH1* dataHist, const TObjArray* mcHists)
              TArrayD GetFactorErrors() const
              TArrayD GetFactors() const
              TArrayD GetFractionErrors() const
              TArrayD GetFractions() const
             Double_t GetScaleData() const
              TArrayD GetScalesMc() const
      virtual TClass* IsA() const
               Bool_t SetHistData(const TH1* hist)
               Bool_t SetHistDataMc(const TH1* histData, const TObjArray* histsMc)
               Bool_t SetHistsMc(const TObjArray* hists)
         virtual void ShowMembers(TMemberInspector& insp, char* parent)
         virtual void Streamer(TBuffer& b)
                 void StreamerNVirtual(TBuffer& b)

Data Members

    private:

      static TObjArray* fgMcHists        'global' pointer to Mc hists for fitting fct.
                   TH1* fHistDataNorm    
             TObjArray* fHistsMcNorm     
               Double_t fScaleData       
                TArrayD fScalesMc        
                TArrayD fFractions       
                TArrayD fFractionErrors  

Class Description

 Author: Gero Flucke <mailto:flucke@mail.desy.de>
____________________________________
 GFFitHistFrac
   Author:      Gero Flucke
   Date:        Sept 19th, 2002
   last update: $Date: 2002/10/29 14:59:09 $
   by:          $Author: flucke $

 This class performs fits to get the best fractions of different
 MC-contributions.

 Limitations: Error propagation is not 100% valid in case of more than
              two MC-contributions

 p[0] factor in front of fgMcHists->At(1),
 p[1] factor in front of fgMcHists->At(2) etc.
 (1. - p[1] - p[2] - ...) factor in front of fgMcHists->At(0)

 checks whether we have data and MC histograms
 and whether they have the same binning

 performs the fit, returns an array with a fraction for each MC-hist
 each fraction shows how much the MC hist contributes to the shape(!)
 of the data histogram

 setting histograms and then Fit()

 after Fit() returning array of factors each MC-histogram has to be
 multiplied with to get the best agreement with data

 returns array of errors belonging to array from GetFractions()
 FIXME: assuming fractions of the others were independend!! ???
 (is fine in case of just fitting 2 MC hists to data!)

Inline Functions

              TArrayD GetFractions() const
              TArrayD GetFractionErrors() const
              TArrayD GetScalesMc() const
             Double_t GetScaleData() const
              TClass* Class()
              TClass* IsA() const
                 void ShowMembers(TMemberInspector& insp, char* parent)
                 void Streamer(TBuffer& b)
                 void StreamerNVirtual(TBuffer& b)
        GFFitHistFrac GFFitHistFrac(const GFFitHistFrac&)