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.


Contact Information:

Pierre-Francois Leget
Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE)
IN2P3/Sorbonne Université
4 Place Jussieu
75005 Paris, France

plget@lpnhe.in2p3.fr


Pierre-Francois Leget (plget@lpnhe.in2p3.fr)
last updated September 22, 2019