Published July 1, 2024 | Version Published
Journal Article Open

Intermediate-mass Black Hole Progenitors from Stellar Collisions in Dense Star Clusters

Abstract

Very massive stars (VMSs) formed via a sequence of stellar collisions in dense star clusters have been proposed as the progenitors of massive black hole seeds. VMSs could indeed collapse to form intermediate-mass black holes, which would then grow by accretion to become the supermassive black holes observed at the centers of galaxies and powering high-redshift quasars. Previous studies have investigated how different cluster initial conditions affect the formation of a VMS, including mass segregation, stellar collisions, and binaries, among others. In this study, we investigate the growth of VMSs with a new grid of Cluster Monte Carlo star cluster simulations—the most expansive to date. The simulations span a wide range of initial conditions, varying the number of stars, cluster density, stellar initial mass function (IMF), and primordial binary fraction. We find a gradual shift in the mass of the most massive collision product across the parameter space; in particular, denser clusters born with top-heavy IMFs provide strong collisional regimes that form VMSs with masses easily exceeding 1000 M. Our results are used to derive a fitting formula that can predict the typical mass of a VMS formed as a function of the star cluster properties. Additionally, we study the stochasticity of this process and derive a statistical distribution for the mass of the VMS formed in one of our models, recomputing the model 50 times with different initial random seeds.

Acknowledgement

Support for E.G.P. was provided by the National Science Foundation Graduate Research Fellowship Program under grant DGE-2234667. Support for K.K. was provided by NASA through the NASA Hubble Fellowship grant HST-HF2-51510 awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. Our work was supported by NASA grant No. 80NSSC21K1722 and NSF grant No. AST-2108624 at Northwestern University. This research was also supported in part by the computational resources and staff contributions provided for the Quest high-performance computing facility at Northwestern University, which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology.

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Additional details

Identifiers

ISSN
1538-4357

Funding

National Science Foundation
NSF Graduate Research Fellowship DGE-2234667
National Aeronautics and Space Administration
HST-HF2-51510
National Aeronautics and Space Administration
NAS5-26555
National Aeronautics and Space Administration
80NSSC21K1722
National Science Foundation
AST-2108624
Northwestern University

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