library: libRooFit #include "RooExtendPdf.h" | 
RooExtendPdf
class description - source file - inheritance tree (.pdf)
    public:
                                    RooExtendPdf(const char* name, const char* title, const RooAbsPdf& pdf, const RooAbsReal& norm, const char* rangeName = "0")
                                    RooExtendPdf(const RooExtendPdf& other, const char* name = "0")
                            virtual ~RooExtendPdf()
                   virtual Double_t analyticalIntegralWN(Int_t code, const RooArgSet* normSet, const char* rangeName = "0") const
                     static TClass* Class()
                   virtual TObject* clone(const char* newname) const
                   virtual Double_t evaluate() const
                   virtual Double_t expectedEvents(const RooArgSet* nset = 0) const
      virtual RooAbsPdf::ExtendMode extendMode() const
                     virtual Bool_t forceAnalyticalInt(const RooAbsArg&) const
                      virtual Int_t getAnalyticalIntegralWN(RooArgSet& allVars, RooArgSet& analVars, const RooArgSet* normSet, const char* rangeName = "0") const
                    virtual TClass* IsA() const
                     virtual Bool_t selfNormalized() const
                       virtual void ShowMembers(TMemberInspector& insp, char* parent)
                       virtual void Streamer(TBuffer& b)
                               void StreamerNVirtual(TBuffer& b)
    protected:
       RooRealProxy _pdf        PDF used for fractional correction factor
       RooRealProxy _n          Number of expected events
      const TNamed* _rangeName  Name of subset range
 RooExtendPdf(const char *name, const char *title, const RooAbsPdf& pdf,
			   const RooAbsReal& norm, const char* rangeName) :
  RooAbsPdf(name,title),
  _pdf("pdf","PDF",this,(RooAbsReal&)pdf),
  _n("n","Normalization",this,(RooAbsReal&)norm),
  _rangeName(RooNameReg::ptr(rangeName))
 Constructor. The ExtendedPdf behaves identical to the supplied input pdf,
 but adds an extended likelihood term. The expected number of events return
 is 'norm'. If a rangename is given, the number of events is interpreted as
 the number of events in the given range
 RooExtendPdf(const RooExtendPdf& other, const char* name) :
  RooAbsPdf(other,name),
  _pdf("pdf",this,other._pdf),
  _n("n",this,other._n),
  _rangeName(other._rangeName)
 Copy constructor
 ~RooExtendPdf() 
 Destructor
Double_t expectedEvents(const RooArgSet* nset) const 
 Return the number of expected events, which is
 n / [ Int(xC,yF) pdf(x,y) / Int(xF,yF) pdf(x,y) ]
 Where x is the set of dependents with cuts defined
 and y are the other dependents. xC is the integration
 of x over the cut range, xF is the integration of
 x over the full range.
Inline Functions
                     TObject* clone(const char* newname) const
                     Double_t evaluate() const
                       Bool_t forceAnalyticalInt(const RooAbsArg&) const
                        Int_t getAnalyticalIntegralWN(RooArgSet& allVars, RooArgSet& analVars, const RooArgSet* normSet, const char* rangeName = "0") const
                     Double_t analyticalIntegralWN(Int_t code, const RooArgSet* normSet, const char* rangeName = "0") const
                       Bool_t selfNormalized() const
        RooAbsPdf::ExtendMode extendMode() const
                      TClass* Class()
                      TClass* IsA() const
                         void ShowMembers(TMemberInspector& insp, char* parent)
                         void Streamer(TBuffer& b)
                         void StreamerNVirtual(TBuffer& b)
Last update: Tue Jun 28 18:12:09 2005
Copyright  (c) 2000-2005, Regents of the University of California          *
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