// -*- C++ -*-
// $Id: Gaussian.cc,v 1.8 2010/06/16 18:22:01 garren Exp $
#include "CLHEP/GenericFunctions/defs.h"
#include "CLHEP/GenericFunctions/Gaussian.hh"
#include "CLHEP/GenericFunctions/Variable.hh"
#include <assert.h>
#include <cmath>      // for exp()

#if (defined __STRICT_ANSI__) || (defined _WIN32)
#ifndef M_PI
#define M_PI            3.14159265358979323846
#endif // M_PI
#endif // __STRICT_ANSI__

namespace Genfun {
FUNCTION_OBJECT_IMP(Gaussian)

Gaussian::Gaussian():
  _mean("Mean", 0.0,-10,10),
  _sigma("Sigma",1.0,0, 10)
{}

Gaussian::~Gaussian() {
}

Gaussian::Gaussian(const Gaussian & right):
_mean(right._mean),
_sigma(right._sigma)
{
}

double Gaussian::operator() (double x) const {
  double s   = _sigma.getValue();
  double x0  = _mean.getValue();
  return (1.0/(sqrt(2*M_PI)*s))*
	  exp(-(x-x0)*(x-x0)/(2.0*s*s));
}

Parameter & Gaussian::mean() {
  return _mean;
}

Parameter & Gaussian::sigma() {
  return _sigma;
}

const Parameter & Gaussian::mean() const {
  return _mean;
}

const Parameter & Gaussian::sigma() const {
  return _sigma;
}



Derivative Gaussian::partial(unsigned int index) const {
  assert(index==0);
  Variable x;
  const AbsFunction & fPrime  = (*this)*(_mean-x)/_sigma/_sigma;
  return Derivative(&fPrime);
}

} // namespace Genfun