| Issue |
A&A
Volume 701, September 2025
|
|
|---|---|---|
| Article Number | A252 | |
| Number of page(s) | 18 | |
| Section | Galactic structure, stellar clusters and populations | |
| DOI | https://doi.org/10.1051/0004-6361/202554454 | |
| Published online | 23 September 2025 | |
Great Balls of FIRE
IV. Contribution of massive star clusters to the astrophysical population of merging binary black holes
1
Dipartimento di Fisica “G. Occhialini”, Università degli Studi di Milano-Bicocca,
Piazza della Scienza 3,
20126
Milano,
Italy
2
INFN, Sezione di Milano-Bicocca,
Piazza della Scienza 3,
20126
Milano,
Italy
3
Laboratoire Lagrange, Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Bd de l’Observatoire,
06300
Nice,
France
4
Laboratoire Artemis, Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Bd de l’Observatoire,
06300
Nice,
France
5
Department of Physics and Astronomy, University of North Carolina at Chapel Hill,
120 E. Cameron Ave,
Chapel Hill,
NC,
27599,
USA
6
Institute for Computational Science, University of Zurich,
Winterthurerstrasse 190,
8057
Zurich,
Switzerland
7
Center for Computational Astrophysics, Flatiron Institute,
162 5th Ave,
New York,
NY
10010,
USA
8
Department of Physics and Astronomy, Pomona College,
Claremont,
CA
91711,
USA
9
Carnegie Observatories,
Pasadena,
CA
91101,
USA
★ Corresponding author: tristan.bruel@oca.eu
Received:
10
March
2025
Accepted:
25
July
2025
Context. The detection of over a hundred gravitational wave signals from double compacts objects, reported by the LIGO-Virgo-KAGRA Collaboration, have confirmed the existence of such binaries with tight orbits. Two main formation channels are generally considered to explain the formation of these merging binary black holes (BBHs): the isolated evolution of stellar binaries and the dynamical assembly in dense environments, namely, star clusters. Although their relative contributions remain unclear, several analyses indicate that the detected BBH mergers probably originate from a mixture of these two distinct scenarios.
Aims. We study the formation of massive star clusters across time and on a cosmological scale to estimate the contribution of these dense stellar structures to the overall population of BBH mergers.
Methods. To this end, we propose three different models of massive star cluster formation based on results obtained with zoom-in simulations of individual galaxies. We applied these models to a large sample of realistic galaxies identified in the (22.1 Mpc)3 cosmological volume simulation FIREbox. Each galaxy in this simulation has a unique star formation rate, with its own history of halo mergers and metallicity evolution. Combined with predictions obtained with the Cluster Monte Carlo code for stellar dynamics, we were able to estimate populations of dynamically formed BBHs in a collection of realistic galaxies.
Results. Across our three models, we inferred a local merger rate of BBHs formed in massive star clusters consistently in the range 1–10 Gpc−3yr−1. Compared with the local BBH merger rate inferred by the LIGO-Virgo-KAGRA Collaboration (in the range 17.9–44 Gpc−3yr−1 at z = 0.2), this could potentially represent up to half of all BBH mergers in the nearby Universe. This shows the importance of this formation channel in the astrophysical production of merging BBHs. We find that these events preferentially take place around cosmic noon and in the most massive galaxies.
Key words: gravitational waves / methods: numerical / stars: black holes / galaxies: star clusters: general
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.