Light Curves Bayesian analysis to characterize Core-Collapse Supernovae.

The launch of the Legacy Survey of Space and Time (LSST) and other future dedicated surveys are going to open the possibility to perform statistical studies of Core-Collapse Supernovae (CC-SNe) and similar transients, that need sufficiently fast and accurate procedures for the characterization of these events. In this framework, we have developed Bayesian procedures, based on our new post-explosive semi-analytic model, that are able to reconstruct SN Light Curves and infer the main physical parameters describing CC-SNe progenitors at explosion. These new procedures as well as their validation will be presented.