Analysis of Neutrino Signals from SN1987A

TL;DR

This paper analyzes neutrino signals from SN1987A using likelihood models to identify emission phases, providing evidence for the initial accretion phase with statistical significance.

Contribution

It introduces a likelihood analysis with one- and two-component models to detect emission phases in supernova neutrino data, highlighting a 3.2 sigma hint for accretion.

Findings

Evidence for initial accretion phase at 3.2 sigma significance

Likelihood analysis distinguishes cooling and accretion components

Supports multi-phase supernova neutrino emission models

Abstract

We study SN1987A neutrino events through a likelihood analysis with one-component (cooling) and two-component (accretion and cooling) emission model. We show that there is a 3.2 sigma hint for the initial accretion phase.