From df8386f75b0538075d72d52693836bb8878f505b Mon Sep 17 00:00:00 2001 From: KatolaZ Date: Mon, 19 Oct 2015 16:23:00 +0100 Subject: First commit of MAMMULT code --- structure/correlations/fit_knn.c | 59 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 59 insertions(+) create mode 100644 structure/correlations/fit_knn.c (limited to 'structure/correlations/fit_knn.c') diff --git a/structure/correlations/fit_knn.c b/structure/correlations/fit_knn.c new file mode 100644 index 0000000..64fc4c3 --- /dev/null +++ b/structure/correlations/fit_knn.c @@ -0,0 +1,59 @@ +/** + * + * Take a file which contains pairs in the form: + * + * k q + * + * compute qnn(k) and fit this function with a power-law + * + * a*x^{b} + * + * The fit is actually performed as a linear fit on the + * exponential-binned log-log distribution + * + * + */ + + +#include +#include + +#include +#include "fit_utils.h" + + + +int main(int argc, char *argv[]){ + + double *k, *q, *x, *y; + int N, num; + double alpha; + + double c0, c1, cov00, cov01, cov11, sqsum; + + k=q=x=y=NULL; + + if (argc < 3){ + printf("%s \n", argv[0]); + exit(1); + } + + alpha=atof(argv[2]); + + fprintf(stderr,"Alpha: %g\n", alpha); + + load_sequence_col(argv[1], &k, &N, 0); + load_sequence_col(argv[1], &q, &N, 1); + //exit(1); + exp_bin_avg(k, q, N, alpha, &x, &y, &num); + //normalize_distr(x, y, num); + //dump_distr(x, y, num); + compact_distr(x, y, &num); + // dump_distr(x,y,num); + map_vec(x, num, log); + map_vec(y, num, log); + //dump_distr(x,y,num); + + gsl_fit_linear(x, 1, y, 1, num, &c0, &c1, &cov00, &cov01, &cov11, &sqsum); + fprintf(stderr, "a: %g b: %g\n", exp(c0), c1); +} -- cgit v1.2.3