Joint cosmological and gravitational-wave population inference using dark sirens and galaxy catalogues
Rachel Gray, Freija Beirnaert, Christos Karathanasis, Beno\^it Revenu,, Cezary Turski, Anson Chen, Tessa Baker, Sergio Vallejo, Antonio Enea Romano,, Tathagata Ghosh, Archisman Ghosh, Konstantin Leyde, Simone Mastrogiovanni,, Surhud More

TL;DR
This paper presents an improved method for joint inference of cosmological parameters and gravitational-wave populations using dark sirens and galaxy catalogs, enhancing robustness and accuracy in measuring the Hubble constant.
Contribution
The authors develop an enhanced version of GWCOSMO that jointly estimates cosmological and binary population parameters, allowing for bias mitigation in $H_0$ measurements.
Findings
Reanalyzed GWTC-3 data with GLADE+ catalog.
Measured $H_0=69^{+12}_{-7}$ km s$^{-1}$ Mpc$^{-1}$.
Method enables future analyses to fully utilize galaxy and population data.
Abstract
In the absence of numerous gravitational-wave detections with confirmed electromagnetic counterparts, the "dark siren" method has emerged as a leading technique of gravitational-wave cosmology. The method allows redshift information of such events to be inferred statistically from a catalogue of potential host galaxies. Due to selection effects, dark siren analyses necessarily depend on the mass distribution of compact objects and the evolution of their merger rate with redshift. Informative priors on these quantities will impact the inferred posterior constraints on the Hubble constant (). It is thus crucial to vary these unknown distributions during an inference. This was not possible in earlier analyses due to the high computational cost, restricting them to either excluding galaxy catalogue information, or fixing the gravitational-wave population mass distribution and…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Cosmology and Gravitation Theories · Radio Astronomy Observations and Technology
