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author | Aaron LI <aaronly.me@outlook.com> | 2017-02-17 23:33:55 +0800 |
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committer | Aaron LI <aaronly.me@outlook.com> | 2017-02-17 23:33:55 +0800 |
commit | f77885e968e30b28669b4d24af75ec4e7bb0a41e (patch) | |
tree | 778137030c73d5070e6cb587e0b7f31d03ed8423 /mass_profile/fit_lt_pl.cpp | |
parent | 61c7e9781c1bb3447fc5ae2362ebbac12158e4d3 (diff) | |
download | chandra-acis-analysis-f77885e968e30b28669b4d24af75ec4e7bb0a41e.tar.bz2 |
Remove unused 'fit_{lt,mt}_{bpl,pl}.cpp' tools
Diffstat (limited to 'mass_profile/fit_lt_pl.cpp')
-rw-r--r-- | mass_profile/fit_lt_pl.cpp | 239 |
1 files changed, 0 insertions, 239 deletions
diff --git a/mass_profile/fit_lt_pl.cpp b/mass_profile/fit_lt_pl.cpp deleted file mode 100644 index fa37249..0000000 --- a/mass_profile/fit_lt_pl.cpp +++ /dev/null @@ -1,239 +0,0 @@ -/* - 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 -*/ - -//#define HAVE_X_ERROR -#include <iostream> -#include <sstream> -#include <fstream> -#include <models/pl1d.hpp> -#include <models/lin1d.hpp> -#include "statistics/chisq.hpp" -#include "statistics/leastsq.hpp" -#include <data_sets/default_data_set.hpp> -#include <methods/powell/powell_method.hpp> -#include <core/freeze_param.hpp> - -using namespace std; -using namespace opt_utilities; -//double s=5.63136645E20; -const double kpc=3.086E21;//kpc in cm -const double Mpc=kpc*1000; -const double pi=4*atan(1); -double std_norm_rand() -{ - double x=0; - double u=0; - double v=0; - - do - { - u=rand()/(double)RAND_MAX; - rand(); - v=rand()/(double)RAND_MAX; - - x=std::sqrt(-log(u))*cos(2*pi*v); - }while(isnan(x)); - return x; -} - -double shuffle_data(double xc,double xl,double xu) -{ - double result=0; - assert(!isnan(xc)); - assert(!isnan(xl)); - assert(!isnan(xu)); - if(std_norm_rand()>0) - { - result=xc-std::abs(std_norm_rand()*xl); - } - else - { - result=xc+std::abs(std_norm_rand()*xu); - } - assert(!isnan(result)); - return result; -} - -int main(int argc,char* argv[]) -{ - if(argc!=3) - { - cerr<<"Usage:"<<argv[0]<<" <a 5 column file with T -Terr +Terr L Lerr> <T lower limit>"<<endl; - return -1; - } - double T_lower_limit(atof(argv[2])); - ifstream ifs_data(argv[1]); - default_data_set<double,double> ds; - ofstream ofs_result("l-t_result.qdp"); - ofs_result<<"read terr 1"<<endl; - ofs_result<<"read serr 2"<<endl; - ofs_result<<"skip single"<<endl; - ofs_result<<"log"<<endl; - //ofs_result<<"li on 2"<<endl; - ofs_result<<"time off"<<endl; - ofs_result<<"la f"<<endl; - ofs_result<<"la x temperature (keV)"<<endl; - ofs_result<<"la y Luminosity (10\\u43\\d erg s\\u-1\\d)"<<endl; - double yunit=1E43; - double sxx=0; - double s1=0; - double sx=0; - double sy=0; - double sxy=0; - bool is_first_nonono=true; - for(;;) - { - double T,Tl,Tu; - double L,Lerr; - std::string line; - getline(ifs_data,line); - - - if(!ifs_data.good()) - { - break; - } - line+=" "; - istringstream iss(line); - - if(line[0]=='#') - { - if(!is_first_nonono) - { - ofs_result<<"no no no"<<endl; - } - else - { - is_first_nonono=false; - } - continue; - } - - iss>>T>>Tl>>Tu>>L>>Lerr; - //std::cerr<<L<<"\t"<<Lerr<<endl; - if(!iss.good()) - { - continue; - } - if(T<T_lower_limit||L<0) - { - continue; - } - if(Lerr<L*.1) - { - Lerr=L*.1; - } - double Ll=Lerr; - double Lu=Lerr; - Tl=std::abs(Tl); - Tu=std::abs(Tu); - Ll=std::abs(Ll); - Lu=std::abs(Lu); - ofs_result<<T<<"\t"<<-std::abs(Tl)<<"\t"<<+std::abs(Tu)<<"\t"<<L/yunit<<"\t"<<std::abs(Lerr)/yunit<<endl; - double x=log(T); - double y=log(L); - double xu=log(T+Tu)-log(T); - double xl=log(T-Tl)-log(T); - - double yu=log(L+Lu)-log(L); - double yl=log(L-Ll)-log(L); - if(isnan(x)||isnan(y)||isnan(yl)||isnan(yu)|| - isnan(xl)||isnan(xu)) - { - std::cerr<<"one data with error > data, skipped"<<endl; - std::cerr<<line<<endl; - continue; - } - sxx+=x*x; - sx+=x; - sy+=y; - sxy+=y*x; - s1+=1; - data<double,double> d(x,y,std::abs(yl),std::abs(yu), - std::abs(xl),std::abs(xu)); - ds.add_data(d); - } - - double M=sxx*s1-sx*sx; - double Ma=sxy*s1-sy*sx; - double Mb=sxx*sy-sx*sxy; - double k0=Ma/M; - double b0=Mb/M; - - ofs_result<<"no no no"<<endl; - fitter<double,double,vector<double>,double,std::string> fit; - fit.set_opt_method(powell_method<double,vector<double> >()); - fit.set_statistic(chisq<double,double,vector<double>,double,std::string>()); - //fit.set_statistic(leastsq<double,double,vector<double>,double,std::string>()); - fit.set_model(lin1d<double>()); - fit.load_data(ds); - - cerr<<"k0="<<k0<<endl; - cerr<<"b0="<<b0<<endl; - cerr<<"Ampl0="<<exp(b0)<<endl; - cerr<<"gamma0="<<k0<<endl; - fit.set_param_value("k",k0); - fit.set_param_value("b",b0); - fit.fit(); - std::vector<double> p=fit.fit(); - for(double i=.5;i<12;i*=1.01) - { - ofs_result<<i<<"\t0\t0\t"<<exp(fit.eval_model_raw(log(i),p))/yunit<<"\t0\n"; - } - - - double mean_A=0; - double mean_A2=0; - double mean_g=0; - double mean_g2=0; - int cnt=0; - for(int n=0;n<100;++n) - { - ++cnt; - cerr<<"."; - opt_utilities::default_data_set<double,double> ds1; - for(size_t i=0;i<ds.size();++i) - { - double new_x=shuffle_data(ds.get_data(i).get_x(), - ds.get_data(i).get_x_lower_err(), - ds.get_data(i).get_x_upper_err()); - double new_y=shuffle_data(ds.get_data(i).get_y(), - ds.get_data(i).get_y_lower_err(), - ds.get_data(i).get_y_upper_err()); - ds1.add_data(data<double,double>(new_x,new_y, - ds.get_data(i).get_y_lower_err(), - ds.get_data(i).get_y_upper_err(), - ds.get_data(i).get_y_lower_err(), - ds.get_data(i).get_y_upper_err())); - //cerr<<new_x<<"\t"<<new_y<<endl; - } - fit.load_data(ds1); - - fit.fit(); - double k=fit.get_param_value("k"); - double b=fit.get_param_value("b"); - double A=exp(b); - double g=k; - mean_A+=A; - mean_A2+=A*A; - mean_g+=g; - mean_g2+=g*g; - } - std::cerr<<endl; - mean_A/=cnt; - mean_A2/=cnt; - mean_g/=cnt; - mean_g2/=cnt; - double std_A=std::sqrt(mean_A2-mean_A*mean_A); - double std_g=std::sqrt(mean_g2-mean_g*mean_g); - - std::cerr<<"L=L0*T^gamma"<<endl; - std::cout<<"L0= "<<exp(p[1])<<"+/-"<<std_A<<endl; - std::cout<<"gamma= "<<p[0]<<"+/-"<<std_g<<endl; - std::cout<<"Num of sources:"<<ds.size()<<endl; - -} |