/* Perform a double-beta density model fitting to the surface brightness data Author: Junhua Gu Last modified: 2011.01.01 This code is distributed with no warrant */ #include #include #include #include #include using namespace std; #include "beta_cfg.hpp" #include "dump_fit_qdp.hpp" #include "report_error.hpp" #include "vchisq.hpp" #include "chisq.hpp" #include "beta.hpp" #include "models/beta1d.hpp" #include #include #include #include #include "spline.h" using namespace opt_utilities; //double s=5.63136645E20; const double kpc=3.086E21;//kpc in cm const double Mpc=kpc*1000; double beta_func(double r, double n0,double rc,double beta) { return abs(n0)*pow(1+r*r/rc/rc,-3./2.*abs(beta)); } //calculate critical density from z, under following cosmological constants static double calc_critical_density(double z, const double H0=2.3E-18, const double Omega_m=.27) { const double G=6.673E-8;//cm^3 g^-1 s^2 const double E=std::sqrt(Omega_m*(1+z)*(1+z)*(1+z)+1-Omega_m); const double H=H0*E; return 3*H*H/8/pi/G; } //A class enclosing the spline interpolation method of cooling function //check spline.h for more detailed information //this class is a thin wrapper for the spline class defined in spline.h class spline_func_obj :public func_obj { //has an spline object spline spl; public: //This function is used to calculate the intepolated value double do_eval(const double& x) { return spl.get_value(x); } //we need this function, when this object is performing a clone of itself spline_func_obj* do_clone()const { return new spline_func_obj(*this); } public: //add points to the spline object, after which the spline will be initialized void add_point(double x,double y) { spl.push_point(x,y); } //before getting the intepolated value, the spline should be initialzied by calling this function void gen_spline() { spl.gen_spline(0,0); } }; int main(int argc,char* argv[]) { if(argc!=2) { cerr<"< radii; std::vector sbps; std::vector sbpe; std::vector radii_all; std::vector sbps_all; std::vector sbpe_all; //read sbp and sbp error data for(ifstream ifs(cfg.sbp_file.c_str());;) { assert(ifs.is_open()); double x,xe; ifs>>x>>xe; if(!ifs.good()) { break; } if(x/xe<2) { break; } cerr<>x; if(!ifs.good()) { break; } cerr<0) { rmin=cfg.rmin_pixel; } else { rmin=cfg.rmin_kpc*kpc/cm_per_pixel; } cerr<<"rmin="< radii_tmp,sbps_tmp,sbpe_tmp; radii_tmp.resize(radii.size()); sbps_tmp.resize(sbps.size()); sbpe_tmp.resize(sbpe.size()); copy(radii.begin(),radii.end(),radii_tmp.begin()); copy(sbps.begin(),sbps.end(),sbps_tmp.begin()); copy(sbpe.begin(),sbpe.end(),sbpe_tmp.begin()); for(list::iterator i=radii_tmp.begin();i!=radii_tmp.end();) { if(*i>x>>y; if(!ifs.good()) { break; } cerr<radii.back()) { break; } //cf.add_point(x,y*2.1249719395939022e-68);//change with source cf.add_point(x,y);//change with source } cf.gen_spline(); //read temperature profile data spline_func_obj Tprof; int tcnt=0; for(ifstream ifs1(cfg.T_file.c_str());;++tcnt) { assert(ifs1.is_open()); double x,y; ifs1>>x>>y; if(!ifs1.good()) { break; } cerr<,std::vector > ds; ds.add_data(data,std::vector >(radii,sbps,sbpe,sbpe,radii,radii)); //initial fitter fitter,vector,vector,double> f; f.load_data(ds); //initial the object, which is used to calculate projection effect projector a; beta betao; //attach the cooling function a.attach_cfunc(cf); a.set_cm_per_pixel(cm_per_pixel); a.attach_model(betao); f.set_model(a); //chi^2 statistic vchisq c; c.verbose(true); c.set_limit(); f.set_statistic(c); //optimization method f.set_opt_method(powell_method >()); //initialize the initial values double n0=0; //double beta=atof(arg_map["beta"].c_str()); double beta=0; double rc=0; double bkg=0; for(std::map >::iterator i=cfg.param_map.begin(); i!=cfg.param_map.end();++i) { std::string pname=i->first; f.set_param_value(pname,i->second.at(0)); if(i->second.size()==3) { double a1=i->second[1]; double a2=i->second[2]; double u=std::max(a1,a2); double l=std::min(a1,a2); f.set_param_upper_limit(pname,u); f.set_param_lower_limit(pname,l); } else { if(pname=="beta") { f.set_param_lower_limit(pname,.3); f.set_param_upper_limit(pname,1.4); } } } f.fit(); f.fit(); std::vector p=f.get_all_params(); n0=f.get_param_value("n0"); rc=f.get_param_value("rc"); beta=f.get_param_value("beta"); //output the datasets and fitting results ofstream param_output("beta_param.txt"); for(int i=0;i=1) { ofs_sbp<<"line on 2"<=1) { ofs_sbp<<"no no no"<