English

Multimessenger Analysis Strategy for Core-Collapse Supernova Search: Gravitational Waves and Low-energy Neutrinos

High Energy Astrophysical Phenomena 2021-11-10 v2 Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Experiment

Abstract

Core-collapse supernovae are fascinating astrophysical objects for multimessenger studies. Gravitational waves (GWs) are expected to play a role in the supernova explosion mechanism, but their modelling is also challenging due to the stochastic nature of the dynamics and the vast possible progenitors, and moreover, the GW detection from these objects is still elusive with the already advanced detectors. Low-energy neutrinos will be emitted enormously during the core-collapse explosion and can help for the gravitational wave counterpart search. In this work we develop a multi-messenger strategy to search for such astrophysical objects by exploiting a global network of both low-energy neutrino and gravitational wave detectors. First, we discuss how to improve the detection potential of the neutrino sub-network by exploiting the temporal behaviour of a neutrino burst from a core-collapse supernova. We show that with the proposed approach neutrino detectors can gain at least 10%10\% of detection efficiency at the distance where their efficiency drops. Then, we combine the information provided by GW and neutrino in a multimessenger strategy. In particular, we obtain an increase of the probability to detect the GW signal from a CCSN at 6060 kpc from zero when using only GW analysis to 33%\sim 33\% with our combined GW-ν\nu approach. Keywords: multimessenger, supernova, core-collapse, low-energy neutrino, gravitational wave.

Keywords

Cite

@article{arxiv.2107.02050,
  title  = {Multimessenger Analysis Strategy for Core-Collapse Supernova Search: Gravitational Waves and Low-energy Neutrinos},
  author = {Odysse Halim and Claudio Casentini and Marco Drago and Viviana Fafone and Kate Scholberg and Carlo Francesco Vigorito and Giulia Pagliaroli},
  journal= {arXiv preprint arXiv:2107.02050},
  year   = {2021}
}

Comments

14 pages, 15 figures