RooBifurGauss.cxx

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/*****************************************************************************
 * Project: RooFit                                                           *
 * Package: RooFitModels                                                     *
 * @(#)root/roofit:$Id$
 * Authors:                                                                  *
 *   Abi Soffer, Colorado State University, abi@slac.stanford.edu            *
 *                                                                           *
 * Copyright (c) 2000-2005, Regents of the University of California,         *
 *                          Colorado State University                        *
 *                          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)             *
 *****************************************************************************/
 
/** \class RooBifurGauss
    \ingroup Roofit
 
Bifurcated Gaussian p.d.f with different widths on left and right
side of maximum value.
**/
 
#include <RooBifurGauss.h>
 
#include "RooBatchCompute.h"
 
#include <RooFit/Detail/MathFuncs.h>
 
 
////////////////////////////////////////////////////////////////////////////////
 
RooBifurGauss::RooBifurGauss(const char *name, const char *title, RooAbsReal &_x, RooAbsReal &_mean,
                             RooAbsReal &_sigmaL, RooAbsReal &_sigmaR)
   : RooAbsPdf(name, title),
     x("x", "Dependent", this, _x),
     mean("mean", "Mean", this, _mean),
     sigmaL("sigmaL", "Left Sigma", this, _sigmaL),
     sigmaR("sigmaR", "Right Sigma", this, _sigmaR)
 
{
}
 
////////////////////////////////////////////////////////////////////////////////
 
RooBifurGauss::RooBifurGauss(const RooBifurGauss &other, const char *name)
   : RooAbsPdf(other, name),
     x("x", this, other.x),
     mean("mean", this, other.mean),
     sigmaL("sigmaL", this, other.sigmaL),
     sigmaR("sigmaR", this, other.sigmaR)
{
}
 
////////////////////////////////////////////////////////////////////////////////
 
double RooBifurGauss::evaluate() const
{
   return RooFit::Detail::MathFuncs::bifurGauss(x, mean, sigmaL, sigmaR);
}
 
////////////////////////////////////////////////////////////////////////////////
/// Compute multiple values of BifurGauss distribution.
void RooBifurGauss::doEval(RooFit::EvalContext & ctx) const
{
   RooBatchCompute::compute(ctx.config(this), RooBatchCompute::BifurGauss, ctx.output(),
          {ctx.at(x),ctx.at(mean),ctx.at(sigmaL),ctx.at(sigmaR)});
}
 
////////////////////////////////////////////////////////////////////////////////
 
Int_t RooBifurGauss::getAnalyticalIntegral(RooArgSet &allVars, RooArgSet &analVars, const char * /*rangeName*/) const
{
   if (matchArgs(allVars, analVars, x))
      return 1;
   if (matchArgs(allVars, analVars, mean))
      return 2;
   return 0;
}
 
////////////////////////////////////////////////////////////////////////////////
 
double RooBifurGauss::analyticalIntegral(Int_t code, const char *rangeName) const
{
   auto &constant = code == 1 ? mean : x;
   auto &integrand = code == 1 ? x : mean;
 
   return RooFit::Detail::MathFuncs::bifurGaussIntegral(integrand.min(rangeName), integrand.max(rangeName),
                                                                  constant, sigmaL, sigmaR);
}