Supernova neutrino signals based on long-term axisymmetric simulations

Hiroki Nagakura, Adam Burrows, David Vartanyan

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

We study theoretical neutrino signals from core-collapse supernova (CCSN) computed using axisymmetric CCSN simulations that cover the post-bounce phase up to ∼4 s. We provide basic quantities of the neutrino signals such as event rates, energy spectra, and cumulative number of events at some terrestrial neutrino detectors, and then discuss some new features in the late phase that emerge in our models. Contrary to popular belief, neutrino emissions in the late phase are not always steady, but rather have temporal fluctuations, the vigour of which hinges on the CCSN model and neutrino flavour. We find that such temporal variations are not primarily driven by proto-neutron star convection, but by fallback accretion in exploding models. We assess the detectability of these temporal variations, and find that IceCube is the most promising detector with which to resolve them. We also update fitting formulae first proposed in our previous paper for which the total neutrino energy emitted at the CCSN source is estimated from the cumulative number of events in each detector. This will be a powerful technique with which to analyse real observations, particularly for low-statistics data.

Original languageEnglish (US)
Pages (from-to)1462-1479
Number of pages18
JournalMonthly Notices of the Royal Astronomical Society
Volume506
Issue number1
DOIs
StatePublished - Sep 1 2021

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • neutrinos
  • supernovae: general

Fingerprint

Dive into the research topics of 'Supernova neutrino signals based on long-term axisymmetric simulations'. Together they form a unique fingerprint.

Cite this