Supernova Likelihood maximisation Besides this readme, six files exist in the currect directory: - JLA.npy + JLA.tsv JLA supernova parameters as found on http://supernovae.in2p3.fr/sdss_snls_jla/ReadMe.html, converted to python format, and in tab-seperated values. - SNJLA.py The fitting script. Uses scipy minimisation functions. Uses only basic numpy/scipy functions. Run by writing (in this directory): python SNJLA.py This starts from pre determined points and minimises the likelihood function. Results in scipy format are output. - covmat directory Stores all the covariance matrices in numpy format. - Interpolation.npy Interpolation between points in (Omega_m,Omega_Lambda) space for rapid likelihood evaluation. - findinterpolation.np Mathematica script to compute Interpolation.npy