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Low-Latency Algorithm for Multi-messenger Astrophysics (LLAMA) search for common sources of gravitational waves and high-energy neutrinos

Authors: Doga Veske; Szabolcs Marka; Stefan Countryman; Zsuzsa Marka; Imre Bartos; Yasmeen Asali;

Low-Latency Algorithm for Multi-messenger Astrophysics (LLAMA) search for common sources of gravitational waves and high-energy neutrinos

Abstract

For more than a decade, searches for common sources of gravitational-waves (GWs) and astrophysical neutrinos have returned null results. With the open public alerts of LIGO-Virgo during their third observing run O3 in 2019-2020, search for high energy neutrinos continued in realtime with IceCube. Here, we describe our analysis with Low-Latency Algorithm for Multi-messenger Astrophysics (LLAMA) which incorporates a Bayesian formalism with astrophysical priors to use the distance information from the 3D localization of GW detections for higher statistical power. Finally, we summarize our results during O3.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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