RooGaussian.h

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/*****************************************************************************
 * Project: RooFit                                                           *
 * Package: RooFitModels                                                     *
 *    File: $Id: RooGaussian.h,v 1.16 2007/07/12 20:30:49 wouter Exp $
 * Authors:                                                                  *
 *   WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu       *
 *   DK, David Kirkby,    UC Irvine,         dkirkby@uci.edu                 *
 *                                                                           *
 * Copyright (c) 2000-2005, Regents of the University of California          *
 *                          and Stanford University. All rights reserved.    *
 *                                                                           *
 * 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_GAUSSIAN
#define ROO_GAUSSIAN
 
#include "RooAbsPdf.h"
#include "RooRealProxy.h"
 
class RooAbsReal;
 
class RooGaussian : public RooAbsPdf {
public:
  RooGaussian() { };
  RooGaussian(const char *name, const char *title,
         RooAbsReal& _x, RooAbsReal& _mean, RooAbsReal& _sigma);
  RooGaussian(const RooGaussian& other, const char* name=0);
  TObject* clone(const char* newname) const override {
    return new RooGaussian(*this,newname);
  }
  inline ~RooGaussian() override { }
 
  Int_t getAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* rangeName=0) const override;
  Double_t analyticalIntegral(Int_t code, const char* rangeName=0) const override;
 
  Int_t getGenerator(const RooArgSet& directVars, RooArgSet &generateVars, Bool_t staticInitOK=kTRUE) const override;
  void generateEvent(Int_t code) override;
 
  /// Get the x variable.
  RooAbsReal const& getX() const { return x.arg(); }
 
  /// Get the mean parameter.
  RooAbsReal const& getMean() const { return mean.arg(); }
 
  /// Get the sigma parameter.
  RooAbsReal const& getSigma() const { return sigma.arg(); }
 
protected:
 
  RooRealProxy x ;
  RooRealProxy mean ;
  RooRealProxy sigma ;
 
  Double_t evaluate() const override;
  void computeBatch(cudaStream_t*, double* output, size_t size, RooBatchCompute::DataMap&) const override;
  inline bool canComputeBatchWithCuda() const override { return true; }
 
private:
 
  ClassDefOverride(RooGaussian,1) // Gaussian PDF
};
 
#endif