Constraining the cosmological parameters using gravitational wave observations of massive black hole binaries and statistical redshift information
Liang-Gui Zhu, Yi-Ming Hu, Hai-Tian Wang, Jian-dong Zhang, Xiao-Dong, Li, Martin Hendry, Jianwei Mei

TL;DR
This study demonstrates that gravitational wave observations of massive black hole binaries, combined with statistical galaxy data, can effectively constrain key cosmological parameters even without electromagnetic counterparts, especially with multi-detector networks.
Contribution
It introduces a comprehensive statistical method to infer cosmological parameters from GW data without EM counterparts, highlighting the potential of multi-detector networks like TianQin and LISA.
Findings
TianQin can constrain the Hubble constant to 4-7% accuracy.
Multi-detector networks improve parameter constraints significantly.
Constraints on dark energy EoS are possible even without EM counterparts.
Abstract
Space-borne gravitational wave detectors like TianQin are expected to detect GW signals emitted by the mergers of massive black hole binaries. Luminosity distance information can be obtained from GW observations, and one can perform cosmological inference if redshift information can also be extracted, which would be straightforward if an electromagnetic counterpart exists. In this paper, we concentrate on the conservative scenario where the EM counterparts are not available, and comprehensively study if cosmological parameters can be inferred through a statistical approach, utilizing the non-uniform distribution of galaxies as well as the black hole mass-host galaxy bulge luminosity relationship. By adopting different massive black hole binary merger models, and assuming different detector configurations, we conclude that the statistical inference of cosmological parameters is indeed…
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