English

Exploring the multiband gravitational wave background with a semi-analytic galaxy formation model

General Relativity and Quantum Cosmology 2023-12-05 v2 Cosmology and Nongalactic Astrophysics

Abstract

An enormous number of compact binary systems, spanning from stellar to supermassive levels, emit substantial gravitational waves during their final evolutionary stages, thereby creating a stochastic gravitational wave background (SGWB). We calculate the merger rates of stellar compact binaries and massive black hole binaries using a semi-analytic galaxy formation model -- Galaxy Assembly with Binary Evolution (GABE) in a unified and self-consistent approach, followed by an estimation of the multi-band SGWB contributed by those systems. We find that the amplitudes of the principal peaks of the SGWB energy density are within one order of magnitude ΩGW109108\Omega_{GW} \sim 10^{-9}- 10^{-8}. This SGWB could easily be detected by the Square Kilometre Array (SKA), as well as planned interferometric detectors, such as the Einstein Telescope (ET) and the Laser Interferometer Space Antenna (LISA). The energy density of this background varies as ΩGWf2/3\Omega_{GW} \propto f^{2/3} in SKA band. The shape of the SGWB spectrum in the frequency range [104\sim[10^{-4},1]1]Hz could allow the LISA to distinguish the black hole seed models. The amplitude of the SGWB from merging stellar binary black holes (BBHs) at 100\sim 100 Hz is approximately 10 and 100 times greater than those from merging binary neutron stars (BNSs) and neutron-star-black-hole (NSBH) mergers, respectively. Note that, since the cosmic star formation rate density predicted by GABE is somewhat lower than observational results by 0.2\sim 0.2 dex at z < 2\sim 2, the amplitude of the SGWB in the frequency range [1\sim[1, 104]10^{4}] Hz may be underestimated by a similar factor at most.

Keywords

Cite

@article{arxiv.2304.08333,
  title  = {Exploring the multiband gravitational wave background with a semi-analytic galaxy formation model},
  author = {Zhencheng Li and Zhen Jiang and Xi-Long Fan and Yun Chen and Liang Gao and Qi Guo and Shenghua Yu},
  journal= {arXiv preprint arXiv:2304.08333},
  year   = {2023}
}

Comments

12 pages, 5 figures

R2 v1 2026-06-28T10:08:28.288Z