1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
|
/*
Fitting Jy Wang's temperature profile model
Author: Jingying Wang
Last modification 20120819
*/
#include "wang2012_model.hpp"
#include <core/optimizer.hpp>
#include <core/fitter.hpp>
#include <data_sets/default_data_set.hpp>
#include "chisq.hpp"
#include <methods/powell/powell_method.hpp>
#include <core/freeze_param.hpp>
#include <iostream>
#include <fstream>
#include <vector>
#include <string>
using namespace opt_utilities;
using namespace std;
const double cm=1;
const double kpc=3.08568e+21*cm;
int main(int argc,char* argv[])
{
if(argc<2)
{
cerr<<"Usage:"<<argv[0]<<" <data file with 4 columns of x, xe, y, ye> [param file] [cm per pixel]"<<endl;
return -1;
}
double cm_per_pixel=-1;
if(argc>=4)
{
cm_per_pixel=atof(argv[3]);
}
//define the fitter
fitter<double,double,vector<double>,double,std::string> fit;
//define the data set
default_data_set<double,double> ds;
//open the data file
ifstream ifs(argv[1]);
double min_r=1e9;
//cout<<"read serr 2"<<endl;
ofstream ofs_fit_result("fit_result.qdp");
ofs_fit_result<<"read serr 1 2"<<endl;
ofs_fit_result<<"skip single"<<endl;
if(cm_per_pixel>0)
{
ofs_fit_result<<"la x radius (kpc)"<<endl;
}
else
{
ofs_fit_result<<"la x radius (pixel)"<<endl;
}
ofs_fit_result<<"la y temperature (keV)"<<endl;
for(;;)
{
//read radius, temperature and error
double r,re,t,te;
ifs>>r>>re>>t>>te;
if(!ifs.good())
{
break;
}
min_r=min(r,min_r);
data<double,double> d(r,t,te,te,re,re);
//std::cerr<<r<<"\t"<<t<<"\t"<<te<<endl;
if(cm_per_pixel>0)
{
ofs_fit_result<<r*cm_per_pixel/kpc<<"\t"<<re*cm_per_pixel/kpc<<"\t"<<t<<"\t"<<te<<endl;
}
else
{
ofs_fit_result<<r<<"\t"<<re<<"\t"<<t<<"\t"<<te<<endl;
}
ds.add_data(d);
}
ofs_fit_result<<"no no no"<<endl;
//load data
fit.load_data(ds);
//define the optimization method
fit.set_opt_method(powell_method<double,vector<double> >());
//use chi^2 statistic
chisq<double,double,vector<double>,double,std::string> chisq_object;
chisq_object.set_limit();
fit.set_statistic(chisq_object);
//fit.set_statistic(chisq<double,double,vector<double>,double,std::string>());
fit.set_model(wang2012_model<double>());
if(argc>=3&&std::string(argv[2])!="NONE")
{
std::vector<std::string> freeze_list;
ifstream ifs_param(argv[2]);
assert(ifs_param.is_open());
for(;;)
{
string pname;
double pvalue;
double lower,upper;
char param_status;
ifs_param>>pname>>pvalue>>lower>>upper>>param_status;
if(!ifs_param.good())
{
break;
}
if(param_status=='F')
{
freeze_list.push_back(pname);
}
if(pvalue<=lower||pvalue>=upper)
{
cerr<<"Invalid initial value, central value not enclosed by the lower and upper boundaries, adjust automatically"<<endl;
pvalue=std::max(pvalue,lower);
pvalue=std::min(pvalue,upper);
}
fit.set_param_value(pname,pvalue);
fit.set_param_lower_limit(pname,lower);
fit.set_param_upper_limit(pname,upper);
}
if(!freeze_list.empty())
{
freeze_param<double,double,std::vector<double>,std::string> fp(freeze_list[0]);
fit.set_param_modifier(fp);
for(int i=1;i<freeze_list.size();++i)
{
dynamic_cast<freeze_param<double,double,std::vector<double>,std::string>&>(fit.get_param_modifier())+=freeze_param<double,double,std::vector<double>,std::string>(freeze_list[i]);
}
}
}
for(int i=0;i<100;++i)
{
fit.fit();
}
vector<double> p=fit.fit();
#if 0
ofstream output_param;
if(argc>=3&&std::string(argv[2])!="NONE")
{
output_param.open(argv[2]);
}
else
{
output_param.open("para0.txt");
}
#endif
//output parameters
for(int i=0;i<fit.get_num_params();++i)
{
std::string pname=fit.get_param_info(i).get_name();
std::string pstatus=fit.get_model().report_param_status(pname);
if(pstatus==""||pstatus=="thawed")
{
pstatus="T";
}
else
{
pstatus="F";
}
cout<<fit.get_param_info(i).get_name()<<"\t"<<fit.get_param_info(i).get_value()<<"\t"<<fit.get_param_info(i).get_lower_limit()<<"\t"<<fit.get_param_info(i).get_upper_limit()<<"\t"<<pstatus<<endl;
//if(argc>=3&&std::string(argv[2])!="NONE")
#if 0
{
output_param<<fit.get_param_info(i).get_name()<<"\t"<<fit.get_param_info(i).get_value()<<"\t"<<fit.get_param_info(i).get_lower_limit()<<"\t"<<fit.get_param_info(i).get_upper_limit()<<"\t"<<pstatus<<endl;
}
#endif
}
//cout<<"T0"<<"\t"<<fit.get_param_value("T0")<<endl;
//cout<<"T1"<<"\t"<<fit.get_param_value("T1")<<endl;
//cout<<"xt"<<"\t"<<fit.get_param_value("xt")<<endl;
//cout<<"eta"<<"\t"<<fit.get_param_value("eta")<<endl;
//dump the data for checking
ofstream ofs_model("wang2012_dump.qdp");
min_r=0;
for(double x=min_r;x<3000;x+=10)
{
double model_value=fit.eval_model_raw(x,p);
ofs_model<<x<<"\t"<<model_value<<endl;
if(cm_per_pixel>0)
{
ofs_fit_result<<x*cm_per_pixel/kpc<<"\t0\t"<<model_value<<"\t0"<<endl;
}
else
{
ofs_fit_result<<x<<"\t0\t"<<model_value<<"\t0"<<endl;
}
}
}
|
