no code implementations • 10 Feb 2021 • Stephen Thorp, Kaisey S. Mandel, David O. Jones, Sam M. Ward, Gautham Narayan
We train a new version of BayeSN, continuous from 0. 35--0. 95 $\mu$m, which we use to model the properties of SNe Ia in the rest-frame $z$-band, study the properties of dust in their host galaxies, and construct a Hubble diagram of SN Ia distances determined from full $griz$ light curves.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
