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. 2020. The SUGAR template is available online at SUGAR is currently being implemented in sncosmo - look there for more usage examples. The spectral time series used for the training and validation are available at here.

Contact Information:

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

Pierre-Francois Leget (
last updated September 22, 2019