Published April 9, 2024 | Version v1
Journal article

Study of systematics on the cosmological inference of the Hubble constant from gravitational wave standard sirens

  • 1. Université Lyon
  • 2. INFN
  • 3. Universität Heidelberg

Description

Gravitational waves (GWs) from compact binary coalescences can constrain the cosmic expansion of the Universe. In the absence of an associated electromagnetic counterpart, the spectral siren method exploits the relation between the detector frame and the source frame masses to jointly infer the parameters of the mass distribution of black holes (BHs) and the cosmic expansion parameter H0. This technique relies on the choice of the parametrization for the source mass population of BHs observed in binary black hole mergers (BBHs). Using astrophysically motivated BBH populations, we study the possible systematic effects affecting the inferred value for H0 when using heuristic mass models like broken power law, power law plus peak, and multipeak distributions. We find that, with 2000 detected GW mergers, the resulting H0 obtained with a spectral siren analysis can be biased up to 3σ. The main sources of this bias come from the failure of the heuristic mass models used so far to account for a possible redshift evolution of the mass distribution and from their inability to model unexpected mass features. We conclude that future dark siren GW cosmology analyses should make use of source mass models able to account for redshift evolution and capable to adjust to unforeseen mass features.

Additional details

Identifiers

DOI
10.1103/PhysRevD.109.083504;
arXiv
arXiv:2312.11627;
Crossref Funder ID
10.13039/100000001; 10.13039/501100000781;

Publishing Information

Journal Title
Physical Review D
Journal Volume
109
Journal Issue
8
Journal Page Range
19 pgs.
ISSN
1089-4918

Optional Information

Copyright
© 2024 American Physical Society
Contract/Grant/Project number
PHY-0757058; PHY-0823459; DEMOBLACK; 770017
Notes
Contact Email: g.pierra@ip2i.in2p3.fr; Record automatically processed
Funding organization
National Science Foundation; European Research Council