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/**
\file normed_gauss1d.hpp
\brief normalized guassian distribution
\author Junhua Gu
*/
#ifndef NGAUSS_MODEL_H_
#define NGAUSS_MODEL_H_
#define OPT_HEADER
#include <core/fitter.hpp>
#include <cmath>
#include <misc/optvec.hpp>
#include <limits>
namespace opt_utilities
{
template <typename T>
class normed_gauss1d
:public model<optvec<T>,optvec<T>,optvec<T>,std::string>
{
private:
normed_gauss1d* do_clone()const
{
return new normed_gauss1d<T>(*this);
}
const char* do_get_type_name()const
{
return "1d normed gaussian";
}
public:
normed_gauss1d()
{
this->push_param_info(param_info<optvec<T> >("x0",0));
this->push_param_info(param_info<optvec<T> >("sigma",1));
}
public:
optvec<T> do_eval(const optvec<T>& x,const optvec<T>& param)
{
const double pi=3.14159265358979323846;
T x0=get_element(param,0);
T sigma=get_element(param,1);
if(sigma*sigma<std::numeric_limits<double>::epsilon())
{
sigma=std::numeric_limits<double>::epsilon();
}
T N=1/sqrt(sigma*sigma*pi*2);
optvec<T> y=(x-x0)/sigma;
return N*exp(-y*y/2.);
}
private:
std::string do_get_information()const
{
return "";
}
};
}
#endif
//EOF
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