Mass Distribution of Binary Black Hole Mergers from Young and Old Dense Star Clusters

Claire S. Ye; Maya Fishbach; Kyle Kremer; Marta Reina-Campos

doi:10.3847/1538-4357/ae317f

paper

Mass Distribution of Binary Black Hole Mergers from Young and Old Dense Star Clusters

arXiv:2507.07183 · doi:10.3847/1538-4357/ae317f

Abstract

Dense star clusters are thought to contribute significantly to the merger rates of stellar-mass binary black holes (BBHs) detected by the LIGO-Virgo-KAGRA collaboration. We combine $N$ -body dynamic models of realistic dense star clusters with cluster formation histories to estimate the merger rate distribution as a function of primary mass for merging BBHs formed in these environments. It has been argued that dense star clusters -- most notably old globular clusters -- predominantly produce BBH mergers with primary masses $M_{p} \approx 30 M_{⊙}$ . We show that dense star clusters forming at lower redshifts -- and thus having higher metallicities -- naturally produce lower-mass BBH mergers. We find that cluster BBH mergers span a wide range of primary mass, from about $6 M_{⊙}$ to above $100 M_{⊙}$ , with a peak near $8 M_{⊙}$ , reproducing the overall merger rate distribution inferred from gravitational wave detections. Our results show that most low-mass BBH mergers (about $95%$ with $M_{p} ≲ 20 M_{⊙}$ ) originate in metal-rich ( $Z \sim Z_{⊙}$ ) dense star clusters, while more massive BBH mergers form predominately in metal-poor globular clusters. We also discuss the role of hierarchical mergers in shaping the BBH mass distribution. Gravitational wave detection of dynamically-formed low-mass BBH mergers -- potentially identifiable by features such as isotropic spin distributions -- may serve as probes of cluster formation histories in metal-rich environments at low redshifts.

12 pages, 6 figures, 1 table. Published on ApJ. Data behind figures 3-6 can be found at https://doi.org/10.5281/zenodo.15832905

Mass Distribution of Binary Black Hole Mergers from Young and Old Dense Star Clusters

Abstract

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