Mimicking Mergers: Mistaking Black Hole Captures as Mergers
Weichangfeng Guo, Daniel Williams, Ik Siong Heng, Hunter Gabbard,, Yeong-Bok Bae, Gungwon Kang, Zong-Hong Zhu

TL;DR
This paper examines whether current gravitational wave detectors can differentiate between black hole mergers and close encounters, finding that realistic conditions make these signals indistinguishable, impacting their interpretation.
Contribution
It demonstrates the difficulty in distinguishing black hole capture signals from mergers under realistic detection scenarios using current analysis methods.
Findings
Ideal conditions allow differentiation between progenitors.
Realistic conditions lead to indistinguishable signals.
Implications for interpreting short gravitational wave signals.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEconomic and Technological Innovation · Merger and Competition Analysis · Digital Platforms and Economics
