Orateur
Description
Type Ia Supernova (SN Ia) distance measurements rely on an empirical model of the SN spectrophotometric evolution. This model has two main uses : first, it allows to take into account the effect of SN Ia redshift, by reconstructing the flux emitted in the supernova frame, given the flux measured in the observer frame. Second, it allows one to capture the SN Ia diversity and standardize their luminosities. The model currently in use within the community is called Spectral Adaptive Lightcurve Template 2 (SALT2), developed between 2007 and 2010 (Guy & al., 2007, 2010). My main phD project is to develop a new generation of the model. The first milestone is to re-implement the SALT2-like training code while getting rid of several identified limitations in the current training procedure. In a second phase, I will investigate alternate descriptions of the SN Ia diversity, building on the new high-quality and high statistics training samples available today. In this presentation, I will describe the method we have followed to re-implement a SALT2-like training procedure. I will discuss the differences between the new procedure and the SALT2 historic approach, present the general performances of the code as of today, and outline future plans.
