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Constraining the fraction of binary black holes formed in isolation and young star clusters with gravitational-wave data

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arxiv 1905.11054 v2 pith:5KVICMWG submitted 2019-05-27 astro-ph.HE gr-qc

classification astro-ph.HEgr-qc
keywords blackbinariesbinarygravitational-waveholesadvancedclustersconstrain
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Ten binary black-hole mergers have already been detected during the first two observing runs of advanced LIGO and Virgo, and many more are expected to be observed in the near future. This opens the possibility for gravitational-wave astronomy to better constrain the properties of black hole binaries, not only as single sources, but as a whole astrophysical population. In this paper, we address the problem of using gravitational-wave measurements to estimate the proportion of merging black holes produced either via isolated binaries or binaries evolving in young star clusters. To this end, we use a Bayesian hierarchical modeling approach applied to catalogs of merging binary black holes generated using state-of-the-art population synthesis and N-body codes. In particular, we show that, although current advanced LIGO/Virgo observations only mildly constrain the mixing fraction $f \in [0,1]$ between the two formation channels, we expect to narrow down the fractional errors on $f$ to $10-20\%$ after a few hundreds of detections.

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Cited by 2 Pith papers

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

  1. Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers

    gr-qc 2026-08 conditional novelty 6.0 of 10

    New analytic fits, gwModelRemS/P, predict remnant mass, spin, luminosity, and kick for black hole mergers from equal mass to q=1000, with a neural-flow model for precessing kicks.

  2. Accurate models for recoil velocity distribution in black hole mergers with comparable to extreme mass-ratios and their astrophysical implications

    gr-qc 2025-11 conditional novelty 6.0 of 10

    New analytic, GPR, and normalizing-flow kick models for black-hole mergers trained from q=1 to q≈200, with cluster-retention consequences.

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