This folder contains a set of codes that implements the two-dimensional Kolmogorov-Smirnov test, to check whether two 2d distributions are drawn from the same one. Implemented in Fortran 90 using Numerical Recipes.
To check whether the result of use_ks2d applied to real data is meaningful, you have to compare it to the result expected by chance produced by mc_ks2d, and then run histplot.
use_ks2d
Compile with use_ks2d.sh. Applies the ks2d2s.f90 routine of Numerical Recipes F90 (chapter 14) to two samples of data.
test_ks2d
Compiles the xks2d2s.f90 routine, which is an illustration of the use of ks2d2s.f90. Compile with test_ks2d.sh.
mc_ks2d
This routine performs a Monte Carlo simulation of an ensemble of isotropic distributions of random sources in the sky, in equatorial coordinates. It computes for each distribution the (D, prob) parameters of the 2D K-S test, comparing with the Pierre Auger event list of UHECRs. The number of sources in each synthetic catalog must be the same as the number of selected Fermi gamma-ray sources. The goal of this code is to check the probability of correlation of PA data expected by chance.
Files mc* correspond to the different outputs by this code.
readfile.f90
Illustrates the function of reading files with fortran 90.
histplot.pro
Plots histograms with IDL. Used to plot the output of the mc_ks2d code, and compare that with the results of ks2d applied to real data.