SUGAR: An Improved Empirical Model of Type Ia Supernovae based on Spectral Features
SUGAR is a spectro-temporal model for Type Ia supernovae trained
on the spectrophotometric time series obtained by the Nearby
Supernova Factory. The training procedure and results are
described in Leget et al. 2019
(in press). The SUGAR template is available online at http://supernovae.in2p3.fr/sugar.
SUGAR is currently being implemented in sncosmo - look there
for more usage examples. The training data will become available
once the paper is published.
Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE)
4 Place Jussieu
75005 Paris, France
Pierre-Francois Leget (firstname.lastname@example.org)
last updated September 22, 2019