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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