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Mimicking Mergers: Mistaking Black Hole Captures as Mergers

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arxiv 2203.06969 v2 pith:2L7PACLL submitted 2022-03-14 gr-qc astro-ph.HE

Mimicking Mergers: Mistaking Black Hole Captures as Mergers

classification gr-qc astro-ph.HE
keywords signalsblackgravitationalmergersunderconditionsdistinguishholes
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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As the number of gravitational wave observations has increased in recent years, the variety of sources has broadened. Here we investigate whether it is possible for the current generation of detectors to distinguish between very short-lived gravitational wave signals from mergers between high-mass black holes, and the signal produced by a close encounter between two black holes which results in gravitational capture, and ultimately a merger. We compare the posterior probability distributions produced by analysing simulated signals from both types of progenitor events, both under ideal and realistic scenarios. We show that while, under ideal conditions it is possible to distinguish both progenitors, under more realistic conditions they are indistinguishable. This has important implications for the interpretation of such short signals, and we therefore advocate that these signals be the focus of additional investigation even when satisfactory results have been achieved from standard analyses.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data

    astro-ph.HE 2026-04 unverdicted novelty 4.0

    Parametric models incorporating waveform phase and amplitude uncertainties mitigate systematic errors in gravitational wave parameter estimation, producing consistent results across models and raw/deglitched data for ...

  2. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data

    astro-ph.HE 2026-04 unverdicted novelty 4.0

    Reanalysis of flagged LVK events with waveform uncertainty models produces consistent spin and precession inferences across raw/deglitched data and multiple waveform approximants.