2023
DOI: 10.3847/1538-4357/acf4f6
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Constraining the Binarity of Black Hole Candidates: A Proof-of-concept Study of Gaia BH1 and Gaia BH2

Toshinori 利憲 Hayashi 林,
Yasushi 靖 Suto 須藤,
Alessandro A. 虎似 Trani 三努郎

Abstract: Nearly a hundred binary black holes (BBHs) have been discovered with gravitational-wave signals emitted at their merging events. Thus, it is quite natural to expect that significantly more abundant BBHs with wider separations remain undetected in the Universe or even in our Galaxy. We consider a possibility that star–BH binary candidates may indeed host an inner BBH instead of a single BH. We present a detailed feasibility study of constraining the binarity of the currently available two targets, Gaia BH1 and … Show more

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Cited by 4 publications
(4 citation statements)
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“…High-precision RVs can thus put the hierarchical triple model to the test. In parallel with our work, the feasibility of such a test was recently explored by Hayashi et al (2023) using idealized simulations. Here, we report new RV data and simulations matched to that data.…”
Section: Discussionmentioning
confidence: 99%
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“…High-precision RVs can thus put the hierarchical triple model to the test. In parallel with our work, the feasibility of such a test was recently explored by Hayashi et al (2023) using idealized simulations. Here, we report new RV data and simulations matched to that data.…”
Section: Discussionmentioning
confidence: 99%
“…In that case, the two massive stars could prevent one another from expanding to red supergiant dimensions, and after two episodes of mass transfer, the Sunlike star could find itself orbiting two BHs without ever having interacted with either one. This and related scenarios have been discussed as a possible formation channel for Gaia BH1-like binaries by several works (e.g., E23; El-Badry et al 2023b;Chakrabarti et al 2023;Di Carlo et al 2023;Hayashi et al 2023). Besides the triple scenario, other solutions for the current orbit have been proposed (see Section 5.5).…”
Section: Introductionmentioning
confidence: 95%
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