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diff --git a/src/wang2012_model.hpp b/src/wang2012_model.hpp
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+/**
+   \file wang2012_model.hpp
+   \brief Jingying Wang's model
+   \author Jingying Wang
+ */
+
+
+#ifndef WANG2012_MODEL
+#define WANG2012_MODEL
+#define OPT_HEADER
+#include <core/fitter.hpp>
+#include <cmath>
+
+namespace opt_utilities
+{
+  template <typename T>
+  class wang2012_model
+    :public model<T,T,std::vector<T>,std::string>
+  {
+  private:
+    model<T,T,std::vector<T> >* do_clone()const
+    {
+      return new wang2012_model<T>(*this);
+    }
+
+    const char* do_get_type_name()const
+    {
+      return "1d power law";
+    }
+  public:
+    wang2012_model()
+    {
+      this->push_param_info(param_info<std::vector<T> >("A",5,0,500));
+      this->push_param_info(param_info<std::vector<T> >("n",1.66,0,10));
+      this->push_param_info(param_info<std::vector<T> >("xi",0.45,0,1));
+      this->push_param_info(param_info<std::vector<T> >("a2",1500,0,1e8));
+      this->push_param_info(param_info<std::vector<T> >("a3",50,0,1e8));
+      this->push_param_info(param_info<std::vector<T> >("beta",0.49,0.1,0.7));
+      this->push_param_info(param_info<std::vector<T> >("T0",0,0,10));
+      
+    }
+
+    T do_eval(const T& x,const std::vector<T>& param)
+    {
+      T A=param[0];
+      T n=param[1];
+      T xi=param[2];
+      T a2=param[3];
+      T a3=param[4];
+      T beta=param[5];
+      T T0=param[6];
+        return A*(pow(x,n)+xi*a2)/(pow(x,n)+a2)/pow(1+x*x/a3/a3,beta)+T0;
+      //return A*(pow(x,n)+a1)/(pow(x,n)+1)/pow(1+x*x/a3/a3,beta)+T0;
+    }
+
+  private:
+    std::string do_get_information()const
+    {
+      return "";
+    }
+  };
+}
+
+
+
+#endif
+//EOF