Probing Extremal Gravitational-Wave Events with Coarse-Grained Likelihoods
Reed Essick, Amanda Farah, Shanika Galaudage, Colm Talbot, Maya, Fishbach, Eric Thrane, Daniel E. Holz

TL;DR
This paper introduces a coarse-graining framework to assess whether extreme gravitational-wave events are genuine outliers or consistent with population models, addressing biases in traditional leave-one-out analyses.
Contribution
The authors develop a novel coarse-graining method to evaluate extremal gravitational-wave events, improving bias correction over existing outlier tests.
Findings
GW190814 is confirmed as an outlier due to its small secondary mass.
GW190412 and GW190521 are not outliers according to the new method.
The approach aligns with previous conclusions but reduces bias in outlier detection.
Abstract
As catalogs of gravitational-wave transients grow, new records are set for the most extreme systems observed to date. The most massive observed black holes probe the physics of pair instability supernovae while providing clues about the environments in which binary black hole systems are assembled. The least massive black holes, meanwhile, allow us to investigate the purported neutron star-black hole mass gap, and binaries with unusually asymmetric mass ratios or large spins inform our understanding of binary and stellar evolution. Existing outlier tests generally implement leave-one-out analyses, but these do not account for the fact that the event being left out was by definition an extreme member of the population. This results in a bias in the evaluation of outliers. We correct for this bias by introducing a coarse-graining framework to investigate whether these extremal events are…
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