RooGamma.h

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/*****************************************************************************
 * Project: RooFit                                                           *
 * Package: RooFitModels
 *
 * authors: Stefan A. Schmitz, Gregory Schott
 * implementation of the Gamma distribution (class structure derived
 * from the class RooGaussian by Wouter Verkerke and David Kirkby)
 *
 * Redistribution and use in source and binary forms,                        *
 * with or without modification, are permitted according to the terms        *
 * listed in LICENSE (http://roofit.sourceforge.net/license.txt)             *
 *****************************************************************************/
 
#ifndef ROO_GAMMA
#define ROO_GAMMA
 
#include "RooAbsPdf.h"
#include "RooRealProxy.h"
 
class RooGamma : public RooAbsPdf {
public:
  RooGamma() {} ;
  RooGamma(const char *name, const char *title,
         RooAbsReal& _x, RooAbsReal& _gamma, RooAbsReal& _beta, RooAbsReal& _mu);
  RooGamma(const RooGamma& other, const char* name=nullptr) ;
  TObject* clone(const char* newname) const override { return new RooGamma(*this,newname); }
  inline ~RooGamma() override { }
 
  Int_t getAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* rangeName=nullptr) const override ;
  double analyticalIntegral(Int_t code, const char* rangeName=nullptr) const override ;
 
  Int_t getGenerator(const RooArgSet& directVars, RooArgSet &generateVars, bool staticInitOK=true) const override;
  void generateEvent(Int_t code) override;
 
protected:
 
  RooRealProxy x ;
  RooRealProxy gamma ;
  RooRealProxy beta ;
  RooRealProxy mu ;
 
  double evaluate() const override ;
  void computeBatch(cudaStream_t*, double* output, size_t nEvents, RooFit::Detail::DataMap const&) const override;
  inline bool canComputeBatchWithCuda() const override { return true; }
 
private:
 
  ClassDefOverride(RooGamma,1) // Gaussian PDF
};
 
#endif