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Dynamical formation signatures of black hole binaries in the first detected mergers by Ligo

Abstract:
The dynamical formation of stellar-mass black hole–black hole binaries has long been a promising source of gravitational waves for the Laser Interferometer Gravitational-Wave Observatory (LIGO). Mass segregation, gravitational focusing, and multibody dynamical interactions naturally increase the interaction rate between the most massive black holes in dense stellar systems, eventually leading them to merge. We find that dynamical interactions, particularly three-body binary formation, enhance the merger rate of black hole binaries with total mass Mtot roughly as $\propto {M}_{{\rm{tot}}}^{\beta }$, with β gsim 4. We find that this relation holds mostly independently of the initial mass function, but the exact value depends on the degree of mass segregation. The detection rate of such massive black hole binaries is only further enhanced by LIGO's greater sensitivity to massive black hole binaries with Mtot lesssim 80 ${M}_{\odot }$. We find that for power-law BH mass functions dN/dM ∝ M−α with α ≤ 2, LIGO is most likely to detect black hole binaries with a mass twice that of the maximum initial black hole mass and a mass ratio near one. Repeated mergers of black holes inside the cluster result in about ~5% of mergers being observed between two and three times the maximum initial black hole mass. Using these relations, one may be able to invert the observed distribution to the initial mass function with multiple detections of merging black hole binaries.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3847/2041-8205/824/1/L12

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Theoretical Physics
Oxford college:
St Hugh's College
Role:
Author
ORCID:
0000-0002-4865-7517


Publisher:
IOP Publishing
Journal:
Astrophysical Journal Letters More from this journal
Volume:
824
Issue:
1
Article number:
L12
Publication date:
2016-06-08
Acceptance date:
2016-04-05
DOI:
EISSN:
2041-8213
ISSN:
2041-8205


Language:
English
Keywords:
Pubs id:
1128005
Local pid:
pubs:1128005
Deposit date:
2020-08-24

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