Published June 24, 2024 | Version v1
Journal article

Stochastic gravitational wave background from binary black hole mergers dynamically assembled in dense star clusters

  • 1. University of Minnesota, School of Physics and Astronomy, Minneapolis, Minnesota 55455, USA
  • 2. Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), 1800 Sherman, Evanston, Illinois 60201, USA
  • 3. Department of Physics & Astronomy, Northwestern University, Evanston, Illinois 60208, USA

Description

With about a hundred binary black hole (BBH) mergers detected by LIGO-Virgo-KAGRA, and with several hundreds expected in the current O4 run, gravitational waves (GWs) are revolutionizing our understanding of the Universe. Some BBH sources are too faint to be individually detected, but collectively they may give rise to a stochastic GW background (SGWB). In this paper, we calculate the SGWB associated with BBH mergers dynamically assembled in dense star clusters, using state-of-the-art numerical models. We discuss the role of modeling the evolution of the mass distribution of BBH mergers, which has significant implications for model selection and parameter estimation, and could be used to distinguish between different channels of BBH formation. We demonstrate how the birth properties of star clusters affect the amplitude and frequency spectrum of the SGWB, and show that upcoming observation runs of ground-based GW detectors may be sensitive enough to detect it. Even in the case of a nondetection, we find that GW data can be used to constrain the highly uncertain cluster birth properties, which can complement direct observations of young massive clusters and protostar clusters in the early Universe by The James Webb Space Telescope.

Additional details

Identifiers

DOI
10.1103/PhysRevD.109.123036;
arXiv
arXiv:2401.04347;
Crossref Funder ID
10.13039/100000001; 10.13039/100000104; 10.13039/100007059; 10.13039/100007249;

Publishing Information

Journal Title
Physical Review D
Journal Volume
109
Journal Issue
12
Journal Page Range
14 pgs.
ISSN
1089-4918

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
Subject category
S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
Descriptors DEI
AMPLITUDES; ASTROPHYSICS; BINARY STARS; BLACK HOLES; COSMOLOGICAL MODELS; GALACTIC EVOLUTION; GRAVITATIONAL WAVES; SIMULATION; SPECTRA; STAR CLUSTERS; STAR EVOLUTION; STAR MODELS; STOCHASTIC PROCESSES; SUPERMASSIVE STARS; TELESCOPES; UNIVERSE
Descriptors DEC
EVOLUTION; MATHEMATICAL MODELS; PHYSICS; STARS

Optional Information

Copyright
© 2024 American Physical Society
Contract/Grant/Project number
PHY-0757058; PHY-0823459; AST-2108624; PHY-2110238; 80NSSC21K1722
Notes
Contact Email: kou00016@umn.edu; Record automatically processed
Funding organization
National Science Foundation; National Aeronautics and Space Administration; Northwestern University; University of Minnesota