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Dynamical formation of black hole binaries in dense star clusters: Rapid cluster evolution code

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arxiv 2210.10055 v3 pith:IJBWANMB submitted 2022-10-18 astro-ph.HE astro-ph.COastro-ph.GAgr-qc

Konstantinos Kritos , Vladimir Strokov , Vishal Baibhav , Emanuele Berti This is my paper
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keywords blackcodebinaryclusterclustersevolutionholestar
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Gravitational-wave observations have just started probing the properties of black hole binary merger populations. The observation of binaries with very massive black holes and significantly asymmetric masses motivates the study of dense star clusters as astrophysical environments which can produce such events dynamically. In this paper we present Rapster (for "Rapid cluster evolution"), a new code designed to rapidly model binary black hole population synthesis and the evolution of massive star clusters based on simple, yet realistic prescriptions. We also perform a thorough comparison with the Cluster Monte Carlo code and find generally good agreement. The code can be used to generate large populations of dynamically formed binary black holes.

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Cited by 3 Pith papers

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

  1. Assessing the Impact of Instrumental Requirements on the Scientific Performance of the Einstein Telescope

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    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.

  3. Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation

    gr-qc 2025-07 conditional novelty 6.0 of 10

    A machine learning classifier trained on the extended noise environment around gravitational wave candidates improves search sensitivity for heavy, unequal-mass black hole mergers by up to roughly 20 percent.

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