Bayesian Multi-Messenger Search Method for Common Sources of Gravitational Waves and High-Energy Neutrinos

TL;DR

This paper introduces a Bayesian search method for joint gravitational wave and high-energy neutrino events, improving detection confidence and localization for rapid multi-messenger astrophysics follow-ups.

Contribution

It presents a novel Bayesian framework that incorporates astrophysical priors and detector characteristics for multi-messenger event detection.

Findings

Effective calculation of false alarm rates for joint events

Enhanced localization accuracy for neutrino and gravitational wave sources

A flexible, model-agnostic approach adaptable to various detector sensitivities

Abstract

Multi-messenger astrophysics is undergoing a transition towards low-latency searches based on signals that could not individually be established as discoveries. The rapid identification of signals is important in order to initiate timely follow-up observations of transient emission that is only detectable for short time periods. Joint searches for gravitational waves and high-energy neutrinos represent a prime motivation for this strategy. Both gravitational waves and high-energy neutrinos are typically emitted over a short time frame of seconds to minutes during the formation or evolution of compact objects. In addition, detectors searching for both messengers observe the whole sky continuously, making observational information on potential transient sources rapidly available to guide follow-up electromagnetic surveys. The direction of high-energy neutrinos can be reconstructed to sub-degree precision, making a joint detection much better localized than a typical gravitational wave signal. Here we present a search strategy for joint gravitational wave and high-energy neutrino events that allows the incorporation of astrophysical priors and detector characteristics following a Bayesian approach. We aim to determine whether a multi-messenger correlated signal is a real event, a chance coincidence of two background events or the chance coincidence of an astrophysical signal and a background event. We use an astrophysical prior that is model agnostic and takes into account mostly geometric factors. Our detector characterization in the search is mainly empirical, enabling detailed realistic accounting for the sensitivity of the detector that can depend on the source properties. By this means, we will calculate the false alarm rate for each multi-messenger event which is required for initiating electromagnetic follow-up campaigns.