English

On Detecting Stellar Binary Black Holes via the LISA-Taiji Network

High Energy Astrophysical Phenomena 2022-02-01 v1

Abstract

The detection of gravitational waves (GWs) by ground-based laser interferometer GW observatories (LIGO/Virgo) reveals a population of stellar binary black holes (sBBHs) with (total) masses up to 150M\sim 150M_\odot, which are potential sources for space-based GW detectors, such as LISA and Taiji. In this paper, we investigate in details on the possibility of detecting sBBHs by the LISA-Taiji network in future. We adopt the sBBH merger rate density constrained by LIGO/VIRGO observations to randomly generate mock sBBHs samples. Assuming an observation period of 44 years, we find that the LISA-Taiji network may detect several tens (or at least several) sBBHs with signal-to-noise ratio (SNR) >8>8 (or >15>15), a factor 232-3 times larger than that by only using LISA or Taiji observations. Among these sBBHs, no more than a few that can merge during the 44-year observation period. If extending the observation period to 1010 years, then the LISA-Taiji network may detect about one hundred (or twenty) sBBHs with SNR >8>8 (or >15>15), among them about twenty (or at least several) can merge within the observation period. Our results suggest that the LISA-Taiji network may be able to detect at least a handful to twenty or more sBBHs even if assuming a conservative SNR threshold (1515) for ``detection'', which enables multi-band GW observations by space and ground-based GW detectors. We also further estimate the uncertainties in the parameter estimations of the sBBH systems ``detected'' by the LISA-Taiji network. We find that the relative errors in the luminosity distance measurements and sky localization are mostly in the range of 0.050.20.05-0.2 and 1100deg21-100\deg^2, respectively, for these sBBHs.

Keywords

Cite

@article{arxiv.2201.12516,
  title  = {On Detecting Stellar Binary Black Holes via the LISA-Taiji Network},
  author = {Ju Chen and Changshuo Yan and Youjun Lu and Yuetong Zhao and Junqiang Ge},
  journal= {arXiv preprint arXiv:2201.12516},
  year   = {2022}
}

Comments

9 pages, 11 figures