Light Curves Bayesian analysis to characterize Core-Collapse Supernovae.
Cosentino S.P., Pumo M.L.
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.