Core-Collapse (CC) Supernovae (SNe) are among the most extreme and luminous astrophysical phenomena, besides sites of intense neutrino production and particle acceleration. The electromagnetic observations of these transients allow us to characterize the explosion energy and the configuration of the progenitor star at the explosion time. This information provides an important constraint in the SN neutrino flux in terms of energy, flavor, and intensity. The launch of the Legacy Survey of Space and Time and other future dedicated optical surveys are going to open the possibility to perform statistical studies on the CC SNe parameters. These studies need sufficiently fast and accurate procedures for the characterization of SN events. In this framework, we have developed semi-/analytical models and Bayesian modeling procedures, which reconstruct SN Light Curves and infer the main explosion parameters connecting them with the expected neutrino spectrum.

Statistical analysis of Core-Collapse explosion parameters: An astrophysical probe for Supernova neutrino flux

Cosentino, SP;Pumo, ML;Cherubini, S
2024-01-01

Abstract

Core-Collapse (CC) Supernovae (SNe) are among the most extreme and luminous astrophysical phenomena, besides sites of intense neutrino production and particle acceleration. The electromagnetic observations of these transients allow us to characterize the explosion energy and the configuration of the progenitor star at the explosion time. This information provides an important constraint in the SN neutrino flux in terms of energy, flavor, and intensity. The launch of the Legacy Survey of Space and Time and other future dedicated optical surveys are going to open the possibility to perform statistical studies on the CC SNe parameters. These studies need sufficiently fast and accurate procedures for the characterization of SN events. In this framework, we have developed semi-/analytical models and Bayesian modeling procedures, which reconstruct SN Light Curves and infer the main explosion parameters connecting them with the expected neutrino spectrum.
2024
II SUPERNOVAE, EVOLUTION
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/643690
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