jla ================================================ Supernova likelihood for SDSS-II/SNLS3 +-------------+------------------------------------------------------+ | File | supernovae/jla_v3/jla.so | +-------------+------------------------------------------------------+ | Attribution | Marc Betoule | +-------------+------------------------------------------------------+ | URL | http://supernovae.in2p3.fr/sdss_snls_jla/ReadMe.html | +-------------+------------------------------------------------------+ | Citations | http://arxiv.org/abs/1401.4064 | +-------------+------------------------------------------------------+ This JLA code uses 731 supernovae from the JLA SDSS-II/SNLS3 sample to get a likelihood of a given theory mu(z). Systematic error propagation is done with a collection of separate covariance matrices for the various light-curve parameters. You can copy the standard parameters to use for this from demos/demo5.ini Assumptions ----------- - SALT2 used to fit light curves - Akima interpolation between mu(z) samples Setup Parameters ---------------- .. list-table:: :header-rows: 1 * - Name - Type - Default - Description * - data_dir - str - - Dir for other files. Use cosmosis-standard-library/supernovae/jla_v3/data (unless trying a different data set) * - data_file - str - - Dir for other files. Use jla_lcparams.txt (unless trying a different data set) * - scriptmcut - str - - Dir for other files. Use 10.0 * - mag_covmat_file - str - - Dir for other files. Use jla_v0_covmatrix.dat * - stretch_covmat_file - str - - Dir for other files. Use jla_va_covmatrix.dat * - colour_covmat_file - str - - Dir for other files. Use jla_vb_covmatrix.dat * - mag_stretch_covmat_file - str - - Dir for other files. Use jla_v0a_covmatrix.dat * - mag_colour_covmat_file - str - - Dir for other files. Use jla_v0b_covmatrix.dat * - stretch_colour_covmat_file - str - - Dir for other files. Use jla_vab_covmatrix.dat * - verbosity - int - 2 - Verbosity level for output. 0 for no feedback, higher for more Input values ---------------- .. list-table:: :header-rows: 1 * - Section - Name - Type - Default - Description * - distances - z - real 1d - - Redshift sample values for theory * - - mu - real 1d - - Theory distance modulus at sample redshifts * - supernova_params - alpha - real - - SN shape parameter coefficient * - - beta - real - - SN color parameter coefficient * - - M - real - - SN magnitude parameter baseline value; leave this fixed and vary deltaM. * - - deltaM - real - - SN magnitude parameter where M_actual = M + deltaM Output values ---------------- .. list-table:: Output values :header-rows: 1 * - Section - Name - Type - Description * - likelihoods - JLA_LIKE - real - Gaussian likelihood for this data set and theory mu(z)