Comparison of simulated neutrino emission models with data on Supernova 1987A

TL;DR

This paper compares various supernova neutrino emission models with the SN 1987A data using Bayesian analysis, finding that models with a brief accretion phase best fit the observations.

Contribution

It introduces a Bayesian approach to compare current 1D supernova neutrino models with real data, highlighting the significance of the accretion phase.

Findings

Models with a brief accretion phase are most favored.

Results are robust against flux normalization variations.

Best-fit models are compatible with the data.

Abstract

We compare models of supernova (SN) neutrino emission with the Kamiokande II data on SN 1987A using the Bayesian approach. These models are taken from simulations and are representative of current 1D SN models. We find that models with a brief accretion phase of neutrino emission are the most favored. This result is not affected by varying the overall flux normalization or considering neutrino oscillations. We also check the compatibility of the best-fit models with the data.