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author | Aaron LI <aaronly.me@gmail.com> | 2016-05-27 22:47:24 +0800 |
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committer | Aaron LI <aaronly.me@gmail.com> | 2016-05-27 22:47:24 +0800 |
commit | ffd178e0bd72562a3c2cff9747b6e656edc881dc (patch) | |
tree | 8800b7b5b2e8bc3df1a6760df5cd54eaaa686702 /mass_profile/calc_lx_dbeta.cpp | |
parent | 5c35fad9240fb42c1371c721e0b2af7379bd9ea0 (diff) | |
download | chandra-acis-analysis-ffd178e0bd72562a3c2cff9747b6e656edc881dc.tar.bz2 |
Add mass_profile tools
* These tools are mainly use to calculate the total gravitational mass
profile, as well as the intermediate products (e.g., surface
brightness profile fitting, gas density profile, NFW fitting, etc.)
* There are additional tools for calculating the luminosity and flux.
* These tools mainly developed by Junhua GU, and contributed by
Weitian (Aaron) LI, and Zhenghao ZHU.
Diffstat (limited to 'mass_profile/calc_lx_dbeta.cpp')
-rw-r--r-- | mass_profile/calc_lx_dbeta.cpp | 550 |
1 files changed, 550 insertions, 0 deletions
diff --git a/mass_profile/calc_lx_dbeta.cpp b/mass_profile/calc_lx_dbeta.cpp new file mode 100644 index 0000000..f105869 --- /dev/null +++ b/mass_profile/calc_lx_dbeta.cpp @@ -0,0 +1,550 @@ +/* + 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 <iostream> +#include <fstream> +#include <list> +using namespace std; +#include "vchisq.hpp" +#include "dbeta.hpp" +#include "beta_cfg.hpp" +#include <data_sets/default_data_set.hpp> +#include <methods/powell/powell_method.hpp> +#include <core/freeze_param.hpp> +#include <error_estimator/error_estimator.hpp> +#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 dbeta_func(double r, + double n01,double rc1,double beta1, + double n02,double rc2,double beta2) +{ + + return abs(n01)*pow(1+r*r/rc1/rc1,-3./2.*abs(beta1))+abs(n02)*pow(1+r*r/rc2/rc2,-3./2.*abs(beta2)); +} + + + //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<double,double> +{ + //has an spline object + spline<double> 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<4) + { + cerr<<argv[0]<<" <configure file> <rout in kpc> <bolo erg cfunc file> "<<endl; + return -1; + } + //initialize the parameters list + ifstream cfg_file(argv[1]); + assert(cfg_file.is_open()); + cfg_map cfg=parse_cfg_file(cfg_file); + + //check the existence of following parameters + + const double z=cfg.z; + + //initialize the radius list, sbp list and sbp error list + std::vector<double> radii; + std::vector<double> sbps; + std::vector<double> sbpe; + std::vector<double> radii_all; + std::vector<double> sbps_all; + std::vector<double> 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<<"\t"<<xe<<endl; + sbps.push_back(x); + sbpe.push_back(xe); + sbps_all.push_back(x); + sbpe_all.push_back(xe); + } + + //read radius data + for(ifstream ifs(cfg.radius_file.c_str());;) + { + assert(ifs.is_open()); + double x; + ifs>>x; + if(!ifs.good()) + { + break; + } + cerr<<x<<endl; + radii.push_back(x); + radii_all.push_back(x); + } + //initialize the cm/pixel value + double cm_per_pixel=cfg.cm_per_pixel; + double rmin=5*kpc/cm_per_pixel; + if(cfg.rmin_pixel>0) + { + rmin=cfg.rmin_pixel; + } + else + { + rmin=cfg.rmin_kpc*kpc/cm_per_pixel; + } + + cerr<<"rmin="<<rmin<<endl; + std::list<double> 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<double>::iterator i=radii_tmp.begin();i!=radii_tmp.end();) + { + if(*i<rmin) + { + radii_tmp.pop_front(); + sbps_tmp.pop_front(); + sbpe_tmp.pop_front(); + i=radii_tmp.begin(); + continue; + } + ++i; + } + radii.resize(radii_tmp.size()); + sbps.resize(sbps_tmp.size()); + sbpe.resize(sbpe_tmp.size()); + copy(radii_tmp.begin(),radii_tmp.end(),radii.begin()); + copy(sbps_tmp.begin(),sbps_tmp.end(),sbps.begin()); + copy(sbpe_tmp.begin(),sbpe_tmp.end(),sbpe.begin()); + + //read cooling function data + spline_func_obj cf; + for(ifstream ifs(cfg.cfunc_file.c_str());;) + { + assert(ifs.is_open()); + double x,y,y1,y2; + ifs>>x>>y; + if(!ifs.good()) + { + break; + } + cerr<<x<<"\t"<<y<<endl; + if(x>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<<x<<"\t"<<y<<endl; +#if 0 + if(tcnt==0) + { + Tprof.add_point(0,y); + } +#endif + Tprof.add_point(x,y); + } + + + Tprof.gen_spline(); + + default_data_set<std::vector<double>,std::vector<double> > ds; + ds.add_data(data<std::vector<double>,std::vector<double> >(radii,sbps,sbpe,sbpe,radii,radii)); + + //initial fitter + fitter<vector<double>,vector<double>,vector<double>,double> f; + f.load_data(ds); + //initial the object, which is used to calculate projection effect + projector<double> a; + bool tie_beta=false; + if(cfg.param_map.find("beta")!=cfg.param_map.end() + &&cfg.param_map.find("beta1")==cfg.param_map.end() + &&cfg.param_map.find("beta2")==cfg.param_map.end()) + { + dbeta2<double> dbetao; + a.attach_model(dbetao); + tie_beta=true; + } + else if((cfg.param_map.find("beta1")!=cfg.param_map.end() + ||cfg.param_map.find("beta2")!=cfg.param_map.end()) + &&cfg.param_map.find("beta")==cfg.param_map.end()) + { + dbeta<double> dbetao; + a.attach_model(dbetao); + tie_beta=false; + } + else + { + cerr<<"Error, cannot decide whether to tie beta together or let them vary freely!"<<endl; + assert(0); + } + + //attach the cooling function + a.attach_cfunc(cf); + a.set_cm_per_pixel(cm_per_pixel); + + f.set_model(a); + //chi^2 statistic + vchisq<double> c; + c.verbose(true); + c.set_limit(); + f.set_statistic(c); + //optimization method + f.set_opt_method(powell_method<double,std::vector<double> >()); + //initialize the initial values + double n01=0; + double rc1=0; + double n02=0; + double rc2=0; + double beta=0; + double bkg=0; + if(tie_beta) + { + f.set_param_value("beta",.7); + f.set_param_lower_limit("beta",.3); + f.set_param_upper_limit("beta",1.4); + } + else + { + f.set_param_value("beta1",.7); + f.set_param_lower_limit("beta1",.3); + f.set_param_upper_limit("beta1",1.4); + f.set_param_value("beta2",.7); + f.set_param_lower_limit("beta2",.3); + f.set_param_upper_limit("beta2",1.4); + } + for(std::map<std::string,std::vector<double> >::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"||pname=="beta1"||pname=="beta2") + { + f.set_param_lower_limit(pname,.3); + f.set_param_upper_limit(pname,1.4); + } + } + } + + + + //perform the fitting, first freeze beta1, beta2, rc1, and rc2 + if(tie_beta) + { + f.set_param_modifier(freeze_param<std::vector<double>,std::vector<double>,std::vector<double>,std::string>("beta")+ + freeze_param<std::vector<double>,std::vector<double>,std::vector<double>,std::string>("rc1")+ + freeze_param<std::vector<double>,std::vector<double>,std::vector<double>,std::string>("rc2") + ); + } + else + { + f.set_param_modifier(freeze_param<std::vector<double>,std::vector<double>,std::vector<double>,std::string>("beta1")+ + freeze_param<std::vector<double>,std::vector<double>,std::vector<double>,std::string>("beta2")+ + freeze_param<std::vector<double>,std::vector<double>,std::vector<double>,std::string>("rc1")+ + freeze_param<std::vector<double>,std::vector<double>,std::vector<double>,std::string>("rc2") + ); + } + + f.fit(); + + f.clear_param_modifier(); + + //then perform the fitting, freeze beta1 and beta2 + //f.set_param_modifier(freeze_param<std::vector<double>,std::vector<double>,std::vector<double>,std::string>("beta")); + //f.set_param_modifier(freeze_param<std::vector<double>,std::vector<double>,std::vector<double>,std::string>("bkg")); + f.fit(); + //f.clear_param_modifier(); + + //finally thaw all parameters + f.fit(); + double beta1=0; + double beta2=0; + + n01=f.get_param_value("n01"); + rc1=f.get_param_value("rc1"); + n02=f.get_param_value("n02"); + rc2=f.get_param_value("rc2"); + if(tie_beta) + { + beta=f.get_param_value("beta"); + beta1=beta; + beta2=beta; + } + else + { + beta1=f.get_param_value("beta1"); + beta2=f.get_param_value("beta2"); + } + //output the params + ofstream param_output("lx_dbeta_param.txt"); + //output the datasets and fitting results + for(int i=0;i<f.get_num_params();++i) + { + if(f.get_param_info(i).get_name()=="rc1") + { + cerr<<"rc1_kpc"<<"\t"<<abs(f.get_param_info(i).get_value())*cm_per_pixel/kpc<<endl; + param_output<<"rc1_kpc"<<"\t"<<abs(f.get_param_info(i).get_value())*cm_per_pixel/kpc<<endl; + } + if(f.get_param_info(i).get_name()=="rc2") + { + cerr<<"rc2_kpc"<<"\t"<<abs(f.get_param_info(i).get_value())*cm_per_pixel/kpc<<endl; + param_output<<"rc2_kpc"<<"\t"<<abs(f.get_param_info(i).get_value())*cm_per_pixel/kpc<<endl; + } + cerr<<f.get_param_info(i).get_name()<<"\t"<<abs(f.get_param_info(i).get_value())<<endl; + param_output<<f.get_param_info(i).get_name()<<"\t"<<abs(f.get_param_info(i).get_value())<<endl; + } + cerr<<"chi square="<<f.get_statistic_value()/(radii.size()-f.get_model().get_num_free_params())<<endl; + param_output<<"chi square="<<f.get_statistic_value()/(radii.size()-f.get_model().get_num_free_params())<<endl; + + //c.verbose(false); + //f.set_statistic(c); + //f.fit(); + std::vector<double> p=f.get_all_params(); + f.clear_param_modifier(); + std::vector<double> mv=f.eval_model(radii,p); + + + ofstream ofs_sbp("lx_sbp_fit.qdp"); + ofs_sbp<<"read serr 2"<<endl; + ofs_sbp<<"skip single"<<endl; + + ofs_sbp<<"line on 2"<<endl; + ofs_sbp<<"line on 3"<<endl; + ofs_sbp<<"line on 4"<<endl; + ofs_sbp<<"line on 5"<<endl; + ofs_sbp<<"line on 7"<<endl; + ofs_sbp<<"ls 2 on 7"<<endl; + ofs_sbp<<"ls 2 on 3"<<endl; + ofs_sbp<<"ls 2 on 4"<<endl; + ofs_sbp<<"ls 2 on 5"<<endl; + + + + ofs_sbp<<"!LAB POS Y 4.00"<<endl; + ofs_sbp<<"!LAB ROT"<<endl; + ofs_sbp<<"win 1"<<endl; + ofs_sbp<<"yplot 1 2 3 4 5"<<endl; + ofs_sbp<<"loc 0 0 1 1"<<endl; + ofs_sbp<<"vie .1 .4 .9 .9"<<endl; + ofs_sbp<<"la y cnt/s/pixel/cm\\u2\\d"<<endl; + ofs_sbp<<"log x"<<endl; + ofs_sbp<<"log y"<<endl; + ofs_sbp<<"r x "<<(radii[1]+radii[0])/2*cm_per_pixel/kpc<<" "<<(radii[sbps.size()-2]+radii[sbps.size()-1])/2*cm_per_pixel/kpc<<endl; + ofs_sbp<<"win 2"<<endl; + ofs_sbp<<"yplot 6 7"<<endl; + ofs_sbp<<"loc 0 0 1 1"<<endl; + ofs_sbp<<"vie .1 .1 .9 .4"<<endl; + ofs_sbp<<"la x radius (kpc)"<<endl; + ofs_sbp<<"la y chi"<<endl; + ofs_sbp<<"log x"<<endl; + ofs_sbp<<"log y off"<<endl; + ofs_sbp<<"r x "<<(radii[1]+radii[0])/2*cm_per_pixel/kpc<<" "<<(radii[sbps.size()-2]+radii[sbps.size()-1])/2*cm_per_pixel/kpc<<endl; + for(int i=1;i<sbps.size();++i) + { + double x=(radii[i]+radii[i-1])/2; + double y=sbps[i-1]; + double ye=sbpe[i-1]; + double ym=mv[i-1]; + ofs_sbp<<x*cm_per_pixel/kpc<<"\t"<<y<<"\t"<<ye<<endl; + } + ofs_sbp<<"no no no"<<endl; + for(int i=1;i<sbps.size();++i) + { + double x=(radii[i]+radii[i-1])/2; + double y=sbps[i-1]; + double ye=sbpe[i-1]; + double ym=mv[i-1]; + ofs_sbp<<x*cm_per_pixel/kpc<<"\t"<<ym<<"\t"<<0<<endl; + } + //bkg + ofs_sbp<<"no no no"<<endl; + double bkg_level=abs(f.get_param_value("bkg")); + for(int i=0;i<sbps.size();++i) + { + double x=(radii[i]+radii[i-1])/2; + ofs_sbp<<x*cm_per_pixel/kpc<<"\t"<<bkg_level<<"\t0"<<endl; + } + //rc1 + ofs_sbp<<"no no no"<<endl; + double rc1_kpc=abs(f.get_param_value("rc1")*cm_per_pixel/kpc); + double max_sbp=*max_element(sbps.begin(),sbps.end()); + double min_sbp=*min_element(sbps.begin(),sbps.end()); + for(double x=min_sbp;x<=max_sbp;x+=(max_sbp-min_sbp)/100) + { + ofs_sbp<<rc1_kpc<<"\t"<<x<<"\t"<<"0"<<endl; + } + //rc2 + ofs_sbp<<"no no no"<<endl; + double rc2_kpc=abs(f.get_param_value("rc2")*cm_per_pixel/kpc); + for(double x=min_sbp;x<=max_sbp;x+=(max_sbp-min_sbp)/100) + { + ofs_sbp<<rc2_kpc<<"\t"<<x<<"\t"<<"0"<<endl; + } + //resid + ofs_sbp<<"no no no"<<endl; + for(int i=1;i<sbps.size();++i) + { + double x=(radii[i]+radii[i-1])/2; + double y=sbps[i-1]; + double ye=sbpe[i-1]; + double ym=mv[i-1]; + ofs_sbp<<x*cm_per_pixel/kpc<<"\t"<<(ym-sbps[i-1])/sbpe[i-1]<<"\t"<<1<<endl; + } + //zero level in resid map + ofs_sbp<<"no no no"<<endl; + for(int i=1;i<sbps.size();++i) + { + double x=(radii[i]+radii[i-1])/2; + double y=sbps[i-1]; + double ye=sbpe[i-1]; + double ym=mv[i-1]; + ofs_sbp<<x*cm_per_pixel/kpc<<"\t"<<0<<"\t"<<0<<endl; + } + + + mv=f.eval_model_raw(radii,p); + ofstream ofs_rho("lx_rho_fit.qdp"); + ofstream ofs_rho_data("lx_rho_fit.dat"); + //ofstream ofs_entropy("entropy.qdp"); + ofs_rho<<"la x radius (kpc)"<<endl; + ofs_rho<<"la y density (cm\\u-3\\d)"<<endl; + /* + for(int i=1;i<sbps.size();++i) + { + double x=(radii[i]+radii[i-1])/2; + double ym=mv[i-1]; + ofs_rho<<x*cm_per_pixel/kpc<<"\t"<<ym<<endl; + } + */ + + p.back()=0; + + radii.clear(); + double rout=atof(argv[2])*kpc; + for(double r=0;r<rout;r+=1*kpc)//step size=1kpc + { + double r_pix=r/cm_per_pixel; + radii.push_back(r_pix); + } + + double Da=cm_per_pixel/(.492/3600./180.*pi); + double Dl=Da*(1+z)*(1+z); + cout<<"dl="<<Dl/kpc<<endl; + for(int n=3;n<argc;++n) + { + spline_func_obj cf_bolo_erg; + for(ifstream ifs(argv[n]);;) + { + assert(ifs.is_open()); + double x,y; + ifs>>x>>y; + if(!ifs.good()) + { + break; + } + //cerr<<x<<"\t"<<y<<endl; + + cf_bolo_erg.add_point(x,y);//change with source + } + cf_bolo_erg.gen_spline(); + + projector<double>& pj=dynamic_cast<projector<double>&>(f.get_model()); + pj.attach_cfunc(cf_bolo_erg); + + mv=f.eval_model_raw(radii,p); + double flux_erg=0; + for(int i=0;i<radii.size()-1;++i) + { + double S=pi*(radii[i+1]+radii[i])*(radii[i+1]-radii[i]); + flux_erg+=S*mv[i]; + } + cout<<flux_erg*4*pi*Dl*Dl<<endl; + cout<<flux_erg<<endl; + param_output<<"Lx"<<n-2<<"\t"<<flux_erg*4*pi*Dl*Dl<<endl; + param_output<<"Fx"<<n-2<<"\t"<<flux_erg<<endl; + } +} |