From 3da99b5716ecad5fb97c6f979e267ba10a6f6276 Mon Sep 17 00:00:00 2001
From: Aaron LI <aaronly.me@outlook.com>
Date: Thu, 16 Feb 2017 23:36:41 +0800
Subject: Remove 'calc_lx.cpp' (superseded by calc_lx_{beta,dbeta}.cpp)

---
 mass_profile/Makefile    |   5 +-
 mass_profile/calc_lx.cpp | 218 -----------------------------------------------
 2 files changed, 1 insertion(+), 222 deletions(-)
 delete mode 100644 mass_profile/calc_lx.cpp

(limited to 'mass_profile')

diff --git a/mass_profile/Makefile b/mass_profile/Makefile
index 3bf9aa0..4f037e6 100644
--- a/mass_profile/Makefile
+++ b/mass_profile/Makefile
@@ -25,7 +25,7 @@ OPT_UTIL_INC ?= -I../opt_utilities
 
 TARGETS= fit_nfw_sbp fit_dbeta_sbp fit_beta_sbp \
 		fit_direct_beta calc_distance fit_wang2012_model \
-		fit_nfw_mass calc_lx fit_mt_pl fit_lt_pl fit_mt_bpl \
+		fit_nfw_mass fit_mt_pl fit_lt_pl fit_mt_bpl \
 		fit_lt_bpl cooling_time calc_lx_dbeta calc_lx_beta
 HEADERS= projector.hpp spline.hpp vchisq.hpp
 
@@ -51,9 +51,6 @@ fit_nfw_mass: fit_nfw_mass.o
 fit_direct_beta: fit_direct_beta.o
 	$(CXX) $(CXXFLAGS) $^ -o $@ $(OPT_UTIL_INC)
 
-calc_lx: calc_lx.o calc_distance.o
-	$(CXX) $(CXXFLAGS) $^ -o $@ $(OPT_UTIL_INC)
-
 calc_lx_dbeta: calc_lx_dbeta.o beta_cfg.o report_error.o
 	$(CXX) $(CXXFLAGS) $^ -o $@ $(OPT_UTIL_INC)
 
diff --git a/mass_profile/calc_lx.cpp b/mass_profile/calc_lx.cpp
deleted file mode 100644
index 21a508c..0000000
--- a/mass_profile/calc_lx.cpp
+++ /dev/null
@@ -1,218 +0,0 @@
-#include "calc_distance.h"
-#include "spline.hpp"
-#include <iostream>
-#include <string>
-#include <vector>
-#include <statistics/chisq.hpp>
-#include <methods/powell/powell_method.hpp>
-#include <data_sets/default_data_set.hpp>
-#include <misc/data_loaders.hpp>
-#include "methods/aga/aga.hpp"
-#include <models/beta1d.hpp>
-#include <cstdlib>
-using namespace std;
-using namespace opt_utilities;
-
-
-static const double cm=1;
-static const double s=1;
-static const double km=1000*100;
-static const double Mpc=3.08568e+24*cm;
-static const double kpc=3.08568e+21*cm;
-static const double yr=365.*24.*3600.;
-static const double Gyr=1e9*yr;
-static const double H=71.*km/s/Mpc;
-static const double c=299792458.*100.*cm;
-//const double c=3e8*100*cm;
-static const double pi=4*atan(1);
-static const double omega_m=0.27;
-static const double omega_l=0.73;
-static const double arcsec2arc_ratio=1./60/60/180*pi;
-
-double std_norm_rand()
-{
-  double u=0;
-  double v=0;
-  while(u<=0||v<=0)
-    {
-      u=rand()/(double)RAND_MAX;
-      rand();
-      v=rand()/(double)RAND_MAX;
-    }
-  double x=std::sqrt(-log(u))*cos(2*pi*v);
-  return x;
-}
-
-
-int main(int argc,char* argv[])
-{
-  srand(time(0));
-  if(argc<5)
-    {
-      cerr<<"Usage:"<<argv[0]<<" <sbp data> <ratio file> <z> <r500 in kpc> [Tprofile.dat]"<<endl;
-      return -1;
-    }
-  double z=atof(argv[3]);
-  assert(z>0);
-  double d_a_cm=c/H*calc_angular_distance(z);
-  double d_l_cm=(1+z)*(1+z)*d_a_cm;
-  double cm_per_pixel=d_a_cm*.492*arcsec2arc_ratio;
-  //////////////////////////////
-  //perform a 1-beta fitting////
-  //////////////////////////////
-  fitter<double,double,vector<double>,double,string> f;
-
-  f.set_statistic(chisq<double,double,vector<double>,double,string>());
-  f.set_opt_method(powell_method<double,vector<double> >());
-  f.set_model(beta1d<double>());
-  dl_x_xe_y_ye<double,double> dl;
-  ifstream ifs(argv[1]);
-  ifs>>dl;
-  f.load_data(dl.get_data_set());
-  f.fit();
-  double rmin=f.get_data_set().get_data(0).get_x();
-  double rmax=f.get_data_set().get_data(f.get_data_set().size()-1).get_x();
-  ofstream lx_fit_result("lx_fit_result.qdp");
-  lx_fit_result<<"read terr 1 2\nskip single\n";
-  for(size_t i=0;i<f.get_data_set().size();++i)
-    {
-      lx_fit_result<<f.get_data_set().get_data(i).get_x()<<"\t"<<
-	-abs(f.get_data_set().get_data(i).get_x_lower_err())<<"\t"<<
-	abs(f.get_data_set().get_data(i).get_x_upper_err())<<"\t"<<
-	f.get_data_set().get_data(i).get_y()<<"\t"<<
-	-abs(f.get_data_set().get_data(i).get_y_lower_err())<<"\t"<<
-	abs(f.get_data_set().get_data(i).get_y_upper_err())<<endl;
-    }
-  lx_fit_result<<"no no no\n";
-
-  for(double i=rmin;i<rmax;i+=1)
-    {
-      lx_fit_result<<i<<"\t0\t0\t"<<f.eval_model(i,f.get_all_params())<<"\t0\t0"<<endl;
-    }
-
-  for(size_t i=0;i<f.get_num_params();++i)
-    {
-      cerr<<f.get_param_info(i).get_name()<<"="<<
-	f.get_param_info(i).get_value()<<endl;
-    }
-
-  vector<double> p=f.get_all_params();
-
-  double r500kpc=atof(argv[4]);
-  assert(r500kpc>0);
-  double r500pixel=r500kpc*kpc/cm_per_pixel;
-
-  const double dr=1;
-  double sum_cnt=0;
-  double sum_flux=0;
-  spline<double> spl;
-  ifstream ifs_ratio(argv[2]);
-  assert(ifs_ratio.is_open());
-  for(;;)
-    {
-      double x,y;
-      ifs_ratio>>x>>y;
-      if(!ifs_ratio.good())
-	{
-	  break;
-	}
-      spl.push_point(x,y);
-    }
-  spl.gen_spline(0,0);
-
-  for(double r=0;r<r500pixel;r+=dr)
-    {
-      double r1=r<.2*r500pixel?.2*r500pixel:r;
-      double sbp=f.eval_model_raw(r1,p);
-      double cnt=sbp*pi*(2*r+dr)*dr;
-      double ratio=spl.get_value(r);
-      //cerr<<sbp<<endl;
-      sum_cnt+=cnt;
-      sum_flux+=cnt*ratio;
-    }
-  double lx=sum_flux*4*pi*d_l_cm*d_l_cm;
-
-  double l_mean=0;
-  double l2_mean=0;
-  double cnt=0;
-  for(int n=0;n<100;++n)
-    {
-      cerr<<".";
-      opt_utilities::default_data_set<double,double> ds(dl.get_data_set());
-      opt_utilities::default_data_set<double,double> ds1;
-      for(size_t i=0;i<ds.size();++i)
-	{
-	  double yc=ds.get_data(i).get_y();
-	  double ye=(std::abs(ds.get_data(i).get_y_lower_err())+std::abs(ds.get_data(i).get_y_lower_err()))/2;
-	  double xc=ds.get_data(i).get_x();
-	  double xe=(std::abs(ds.get_data(i).get_x_lower_err())+std::abs(ds.get_data(i).get_x_lower_err()))/2;
-	  double newy=std_norm_rand()*ye+yc;
-	  //cout<<yc<<"\t"<<newy<<endl;
-	  ds1.add_data(data<double,double>(xc,newy,ye,ye,xe,xe));
-	}
-      f.load_data(ds1);
-      chisq<double,double,vector<double>,double,string> c;
-      //c.verbose(true);
-      f.set_statistic(c);
-      f.fit();
-      vector<double> p=f.get_all_params();
-      //cout<<f.get_param_value("beta")<<endl;
-      double sum_cnt=0;
-      double sum_flux=0;
-
-      for(double r=0;r<r500pixel;r+=dr)
-	{
-	  double r1=r<.2*r500pixel?.2*r500pixel:r;
-	  double sbp=f.eval_model_raw(r1,p);
-	  double cnt=sbp*pi*(2*r+dr)*dr;
-	  double ratio=spl.get_value(r);
-	  sum_cnt+=cnt;
-	  sum_flux+=cnt*ratio;
-	}
-      //cout<<sum_cnt<<endl;
-      double lx=sum_flux*4*pi*d_l_cm*d_l_cm;
-      l_mean+=lx;
-      l2_mean+=lx*lx;
-      cnt+=1;
-      //std::cerr<<lx<<endl;
-      //std::cerr<<f.get_param_value(
-    }
-  l_mean/=cnt;
-  l2_mean/=cnt;
-  cerr<<endl;
-  double std_l=std::sqrt(l2_mean-l_mean*l_mean);
-
-  double std_l2=0;
-  if(argc==6)
-    {
-      ifstream ifs_tfile(argv[5]);
-      assert(ifs_tfile.is_open());
-      double mean_T=0;
-      int cnt=0;
-      double mean_Te=0;
-      for(;;)
-	{
-	  double r,re,t,te;
-	  ifs_tfile>>r>>re>>t>>te;
-	  if(!ifs_tfile.good())
-	    {
-	      break;
-	    }
-	  cnt+=1;
-	  mean_T+=t;
-	  mean_Te+=te*te;
-	}
-      mean_T/=cnt;
-      mean_Te/=cnt;
-      mean_Te=std::sqrt(mean_Te);
-      if(mean_Te>mean_T)
-	{
-	  mean_Te=mean_T;
-	}
-      std_l2=mean_Te/mean_T*lx;
-      //cout<<mean_Te<<"\t"<<mean_T<<endl;
-    }
-  std_l=std::sqrt(std_l*std_l+std_l2*std_l2);
-  std::cout<<"Lx(bol): "<<lx<<" +/- "<<std_l<<" erg/s #Lx(bol) within r500"<<std::endl;
-  //std::cout<<sum_cnt<<std::endl;
-}
-- 
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