RooExtendPdf

class RooExtendPdf : public RooAbsPdf

    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) const
                   virtual Double_t expectedEvents(const RooArgSet& nset) 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)

Data Members

    protected:

       RooRealProxy _pdf        PDF used for fractional correction factor
       RooRealProxy _n          Number of expected events
      const TNamed* _rangeName  Name of subset range

 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

 Copy constructor

 Destructor

 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.

 Optionally multiply with fractional normalization