English

Hunting for the host galaxy groups of binary black holes and the application in constraining Hubble constant

Cosmology and Nongalactic Astrophysics 2020-10-07 v3 Astrophysics of Galaxies General Relativity and Quantum Cosmology

Abstract

The discovery of gravitational-wave (GW) signals, produced by the coalescence of stellar-mass binary black holes (SBBHs), opens a new window to study the astrophysical origins and dynamical evolutions of compact binaries. In addition, these GW events can be treated as the standard sirens to constrain various cosmological parameters. Both issues require the host identification for these GW events, with help of the spatial resolution of GW detector networks. In this paper, we investigate the capabilities of various detector networks for identifying the SBBHs' host galaxy groups, rather than their host galaxies, which can overcome the influence of galaxies' proper motions in dark matter halos for measuring the cosmological parameters. In our analysis, the group catalog of SDSS DR7 with redshift z(0.01,0.1)z\in(0.01,0.1) is considered as an example of the application. We find that for the second-generation (2G) detector network, the host galaxy groups of around (0.76.9)(0.7-6.9) SBBHs can be identified per year assuming all sources are 3030 M30-30\ M_{\odot} binaries, and that all five detectors in the network are in lock 100\% of the time. For the 3G detector network, this number becomes (3.940.0)(3.9-40.0) yr1^{-1}. We also investigate the potential constraint on the Hubble constant H0H_0 by these GW events, if their redshift information is extracted from the candidates of host galaxy groups. We find that, by five-year's full time observations, 2G detector network is expected to give a constraint of ΔH0/H0(1%,4%)\Delta H_0/H_0\sim (1\%,4\%), which can be more than two order smaller if considering the 3G detector network.

Keywords

Cite

@article{arxiv.2003.06586,
  title  = {Hunting for the host galaxy groups of binary black holes and the application in constraining Hubble constant},
  author = {Jiming Yu and Yu Wang and Wen Zhao and Youjun Lu},
  journal= {arXiv preprint arXiv:2003.06586},
  year   = {2020}
}

Comments

17 pages, 18 figures. Accepted in MNRAS