-
Notifications
You must be signed in to change notification settings - Fork 0
/
hill5_hyperfine.c
175 lines (139 loc) · 4.34 KB
/
hill5_hyperfine.c
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
#include <stdio.h>
#include <stdlib.h>
#include "devo2.h"
#include "hill5.h"
#include <gsl/gsl_vector.h>
#include <gsl/gsl_multimin.h>
#define MAXITER 40000
extern int read_data(FILE *fpin, int ncol, int maxlen, double *retdata[]);
double hill5_gsl(const gsl_vector *x, void *junk) {
return hill5_evaluate(x->data);
}
int main(int argc, char *argv[]) {
FILE *fpin;
FILE *fpout;
int popingen;
int genpercheck;
int checkperconv;
double *input_data[2];
int nchan;
double min[5];
double max[5];
double devo_fit[5];
devo2_struct dstruct;
int times_attained;
double min_attained;
double *model_spectrum;
int i;
gsl_vector *x;
gsl_vector *step_size;
const gsl_multimin_fminimizer_type *T = gsl_multimin_fminimizer_nmsimplex;
gsl_multimin_fminimizer *s = NULL;
gsl_multimin_function minex_func;
double size;
const double eps = 1.0e-6;
int status;
double vmax;
double vmin;
if(argc!=10) {
fprintf(stderr, "Usage: %s <inputfilename> <frequency> <vmin> <vmax> <popingeneration> <generationspercheck> <checksperconv> <hyperfine-def> <outputfile>\n", argv[0]);
exit(1);
}
popingen = atoi(argv[5]);
genpercheck = atoi(argv[6]);
checkperconv = atoi(argv[7]);
vmin=atof(argv[3]);
vmax=atof(argv[4]);
/* PLACE HYPERFINE READ HERE */
fpin = fopen(argv[1],"r");
nchan = read_data(fpin,2,132,input_data);
fclose(fpin);
/* tau range */
min[0] = 0.1;
max[0] = 15.0;
/* vlsr range ADJUST */
min[1] = vmin+2.0*(vmax-vmin)/6.0;
max[1] = vmax-2.0*(vmax-vmin)/6.0;
/* vin range ADJUST */
min[2] = 0.01;
max[2] = (vmax-vmin)/3.0;
/* sigma range ADJUST */
min[3] = 0.05;
max[3] = (vmax-vmin)/3.0;
/* tpeak range */
min[4] = 2.75;
max[4] = 40.0;
hill5_init(nchan,input_data[0],input_data[1],atof(argv[2]),vmin,vmax);
devo2_init(&dstruct,5,min,max,popingen,0.2,0.8,hill5_evaluate);
times_attained=1;
min_attained=dstruct.best_score;
printf("Initial Result: %lf\n", dstruct.best_score);
while(times_attained<checkperconv) {
for(i=0;i<genpercheck;i++) {
devo2_step(&dstruct);
}
printf("Attained Chi Squared: %lf\n",dstruct.best_score);
printf("tau: %lg, Vlsr: %lg, Vin: %lg,\nsigma: %lg, tpeak: %lg\n", dstruct.best_vector[0], dstruct.best_vector[1], dstruct.best_vector[2], dstruct.best_vector[3], dstruct.best_vector[4]);
if((min_attained-dstruct.best_score)/min_attained<1.0e-4) {
min_attained=dstruct.best_score;
times_attained++;
}
else {
min_attained=dstruct.best_score;
times_attained=1;
}
}
printf("Switching to simplex method.\n");
x = gsl_vector_alloc(5);
gsl_vector_set(x,0,dstruct.best_vector[0]);
gsl_vector_set(x,1,dstruct.best_vector[1]);
gsl_vector_set(x,2,dstruct.best_vector[2]);
gsl_vector_set(x,3,dstruct.best_vector[3]);
gsl_vector_set(x,4,dstruct.best_vector[4]);
devo2_free(&dstruct);
step_size = gsl_vector_alloc(5);
gsl_vector_set(step_size,0,0.1);
gsl_vector_set(step_size,1,0.005);
gsl_vector_set(step_size,2,0.005);
gsl_vector_set(step_size,3,0.005);
gsl_vector_set(step_size,4,0.05);
minex_func.f = hill5_gsl;
minex_func.n = 5;
minex_func.params = NULL;
s = gsl_multimin_fminimizer_alloc(T,5);
gsl_multimin_fminimizer_set(s,&minex_func,x,step_size);
i=0;
do {
i++;
status=gsl_multimin_fminimizer_iterate(s);
if(status) break;
size = gsl_multimin_fminimizer_size(s);
status = gsl_multimin_test_size(size,eps);
if(status == GSL_SUCCESS) {
printf("converged in %d iterations\n", i);
}
} while(status==GSL_CONTINUE && i<MAXITER);
if(status!=GSL_SUCCESS) {
printf("Failed to converge after %d iterations\n", i);
exit(1);
}
fpout = fopen(argv[9],"w");
fprintf(fpout,"# Tau: %g\n",gsl_vector_get(s->x,0));
fprintf(fpout,"# Vlsr: %g\n",gsl_vector_get(s->x,1));
fprintf(fpout,"# Vin: %g\n",gsl_vector_get(s->x,2));
fprintf(fpout,"# sigma: %g\n",gsl_vector_get(s->x,3));
fprintf(fpout,"# Tpeak: %g\n",gsl_vector_get(s->x,4));
fprintf(fpout,"# Attained Chisq: %g\n",hill5_gsl(s->x,NULL));
model_spectrum = hill5_getfit();
for(i=0;i<nchan;i++) {
fprintf(fpout,"%g\t%g\t%g\n", input_data[0][i],input_data[1][i],model_spectrum[i]);
}
fclose(fpout);
gsl_vector_free(x);
gsl_vector_free(step_size);
gsl_multimin_fminimizer_free(s);
hill5_free();
free(input_data[0]);
free(input_data[1]);
exit(0);
}