A follow-up on intermediate-mass black hole candidates in the second LIGO-Virgo observing run with the Bayes Coherence Ratio
Avi Vajpeyi, Rory Smith, Eric Thrane, Gregory Ashton, Thomas Alford,, Sierra Garza, Maximiliano Isi, Jonah Kanner, T.J. Massinger, and Liting Xiao

TL;DR
This paper evaluates candidate intermediate-mass black hole mergers from LIGO's second observing run using a coherence-based ranking statistic, confirming known stellar-mass black holes but finding no new intermediate-mass black holes.
Contribution
It introduces a coherence-based ranking method to improve the identification of intermediate-mass black hole merger candidates in gravitational wave data.
Findings
No new intermediate-mass black holes detected.
Support for eight previously unreported stellar-mass black hole mergers.
Seven of these were known from other catalogs.
Abstract
The detection of an intermediate-mass black hole population ( ) will provide clues to their formation environments (e.g., disks of active galactic nuclei, globular clusters) and illuminate a potential pathway to produce supermassive black holes. Ground-based gravitational-wave detectors are sensitive to mergers that can form intermediate-mass black holes weighing up to . However, ground-based detector data contain numerous incoherent short duration noise transients that can mimic the gravitational-wave signals from merging intermediate-mass black holes, limiting the sensitivity of searches. Here we follow-up on binary black hole merger candidates using a ranking statistic that measures the coherence or incoherence of triggers in multiple-detector data. We use this statistic to rank candidate events, initially identified by all-sky search…
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