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RooGamma.h
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1/*****************************************************************************
2 * Project: RooFit *
3 * Package: RooFitModels
4 *
5 * authors: Stefan A. Schmitz, Gregory Schott
6 * implementation of the Gamma distribution (class structure derived
7 * from the class RooGaussian by Wouter Verkerke and David Kirkby)
8 *
9 * Redistribution and use in source and binary forms, *
10 * with or without modification, are permitted according to the terms *
11 * listed in LICENSE (http://roofit.sourceforge.net/license.txt) *
12 *****************************************************************************/
13
14#ifndef ROO_GAMMA
15#define ROO_GAMMA
16
17#include "RooAbsPdf.h"
18#include "RooRealProxy.h"
19
20class RooRealVar;
21
22class RooGamma : public RooAbsPdf {
23public:
24 RooGamma() {} ;
25 RooGamma(const char *name, const char *title,
26 RooAbsReal& _x, RooAbsReal& _gamma, RooAbsReal& _beta, RooAbsReal& _mu);
27 RooGamma(const RooGamma& other, const char* name=0) ;
28 virtual TObject* clone(const char* newname) const { return new RooGamma(*this,newname); }
29 inline virtual ~RooGamma() { }
30
31 Int_t getAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* rangeName=0) const ;
32 Double_t analyticalIntegral(Int_t code, const char* rangeName=0) const ;
33
34 Int_t getGenerator(const RooArgSet& directVars, RooArgSet &generateVars, Bool_t staticInitOK=kTRUE) const;
35 void generateEvent(Int_t code);
36
37protected:
38
43
44 Double_t evaluate() const ;
45 RooSpan<double> evaluateBatch(std::size_t begin, std::size_t batchSize) const;
46
47
48private:
49
50 ClassDef(RooGamma,1) // Gaussian PDF
51};
52
53#endif
double Double_t
Definition: RtypesCore.h:57
const Bool_t kTRUE
Definition: RtypesCore.h:89
#define ClassDef(name, id)
Definition: Rtypes.h:322
char name[80]
Definition: TGX11.cxx:109
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:60
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
Implementation of the Gamma PDF for RooFit/RooStats.
Definition: RooGamma.h:22
Double_t evaluate() const
Evaluate this PDF / function / constant. Needs to be overridden by all derived classes.
Definition: RooGamma.cxx:91
void generateEvent(Int_t code)
algorithm adapted from code example in: Marsaglia, G.
Definition: RooGamma.cxx:211
Int_t getGenerator(const RooArgSet &directVars, RooArgSet &generateVars, Bool_t staticInitOK=kTRUE) const
Load generatedVars with the subset of directVars that we can generate events for, and return a code t...
Definition: RooGamma.cxx:196
RooRealProxy beta
Definition: RooGamma.h:41
virtual ~RooGamma()
Definition: RooGamma.h:29
virtual TObject * clone(const char *newname) const
Definition: RooGamma.h:28
Int_t getAnalyticalIntegral(RooArgSet &allVars, RooArgSet &analVars, const char *rangeName=0) const
Interface function getAnalyticalIntergral advertises the analytical integrals that are supported.
Definition: RooGamma.cxx:177
RooGamma()
Definition: RooGamma.h:24
RooRealProxy x
Definition: RooGamma.h:39
RooRealProxy gamma
Definition: RooGamma.h:40
RooSpan< double > evaluateBatch(std::size_t begin, std::size_t batchSize) const
Evaluate function for a batch of input data points.
Definition: RooGamma.cxx:149
RooRealProxy mu
Definition: RooGamma.h:42
Double_t analyticalIntegral(Int_t code, const char *rangeName=0) const
Implements the actual analytical integral(s) advertised by getAnalyticalIntegral.
Definition: RooGamma.cxx:185
RooRealVar represents a variable that can be changed from the outside.
Definition: RooRealVar.h:35
A simple container to hold a batch of data values.
Definition: RooSpan.h:32
Mother of all ROOT objects.
Definition: TObject.h:37