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hill5_hybrid.c
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hill5_hybrid.c
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#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!=9) {
fprintf(stderr, "Usage: %s <inputfilename> <frequency> <vmin> <vmax> <popingeneration> <generationspercheck> <checksperconv> <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]);
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 */
min[1] = vmin+2.0*(vmax-vmin)/6.0;
max[1] = vmax-2.0*(vmax-vmin)/6.0;
/* vin range */
min[2] = 0.01;
max[2] = (vmax-vmin)/3.0;
/* sigma range */
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[8],"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);
}