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author | astrojhgu <astrojhgu@ed2142bd-67ad-457f-ba7c-d818d4011675> | 2011-02-07 05:41:12 +0000 |
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committer | astrojhgu <astrojhgu@ed2142bd-67ad-457f-ba7c-d818d4011675> | 2011-02-07 05:41:12 +0000 |
commit | 2eec1bc95e708a280cc4f6e7a912b7fa90131c44 (patch) | |
tree | 34b4c6ab7930c03dbd48b3aa0380b277cae3394f | |
parent | 487a8e5238038394e28ffbefde385a25db2ea3af (diff) | |
download | opt-utilities-2eec1bc95e708a280cc4f6e7a912b7fa90131c44.tar.bz2 |
git-svn-id: file:///home/svn/opt_utilities@171 ed2142bd-67ad-457f-ba7c-d818d4011675
-rw-r--r-- | vmodels/dualgauss1d.hpp | 68 |
1 files changed, 68 insertions, 0 deletions
diff --git a/vmodels/dualgauss1d.hpp b/vmodels/dualgauss1d.hpp new file mode 100644 index 0000000..bace73b --- /dev/null +++ b/vmodels/dualgauss1d.hpp @@ -0,0 +1,68 @@ +/** + \file dualgauss1d.hpp + \brief Dualgauss model + \author Junhua Gu + */ + +#ifndef DUALGAUSS_MODEL_H_ +#define DUALGAUSS_MODEL_H_ +#define OPT_HEADER +#include <core/fitter.hpp> +#include <cmath> +#include <misc/optvec.hpp> + +namespace opt_utilities +{ + template <typename T> + class dualgauss1d + :public model<optvec<T>,optvec<T>,optvec<T>,std::string> + { + private: + dualgauss1d* do_clone()const + { + return new dualgauss1d<T>(*this); + } + + const char* do_get_type_name()const + { + return "1d dualgaussian"; + } + public: + dualgauss1d() + { + this->push_param_info(param_info<optvec<T> >("N1",1)); + this->push_param_info(param_info<optvec<T> >("x01",0)); + this->push_param_info(param_info<optvec<T> >("sigma1",1)); + this->push_param_info(param_info<optvec<T> >("N2",1)); + this->push_param_info(param_info<optvec<T> >("x02",1)); + this->push_param_info(param_info<optvec<T> >("sigma2",1)); + } + + public: + optvec<T> do_eval(const optvec<T>& x,const optvec<T>& param) + { + T N1=get_element(param,0); + T x01=get_element(param,1); + T sigma1=get_element(param,2); + + T N2=get_element(param,3); + T x02=get_element(param,4); + T sigma2=get_element(param,5); + + optvec<T> y1=(x-x01)/sigma1; + optvec<T> y2=(x-x02)/sigma2; + return N1*exp(-y1*y1/2.)+N2*exp(-y2*y2/2.); + } + + private: + std::string do_get_information()const + { + return ""; + } + }; +} + + + +#endif +//EOF |