Assessing gravitational-wave binary black hole candidates with Bayesian odds
Geraint Pratten, Alberto Vecchio

TL;DR
This paper introduces a Bayesian framework to assess whether gravitational-wave signals are of astrophysical origin, applying it to LIGO-Virgo data and identifying additional promising candidates.
Contribution
The paper presents a universal Bayesian method for evaluating gravitational-wave candidates' astrophysical likelihood, independent of search pipeline or domain, and applies it to existing and new event candidates.
Findings
Most GWTC-1 candidates are confirmed as astrophysical signals.
Three new candidates show significant support for being astrophysical.
Hierarchical population analysis remains consistent with previous results.
Abstract
Gravitational waves from the coalescence of binary black holes can be distinguished from noise transients in a detector network through Bayesian model selection by exploiting the coherence of the signal across the network. We present a Bayesian framework for calculating the posterior probability that a signal is of astrophysical origin, agnostic to the specific search strategy, pipeline or search domain with which a candidate is identified. We apply this framework under \textit{identical} assumptions to all events reported in the LIGO-Virgo GWTC-1 catalog, GW190412 and numerous event candidates reported by independent search pipelines by other authors. With the exception of GW170818, we find that all GWTC-1 candidates, and GW190412, have odds overwhelmingly in favour of the astrophysical hypothesis, including GW170729, which was assigned significantly different astrophysical…
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