The clustering of dark sirens' invisible host galaxies

Abstract

Dark sirens are a powerful way to infer cosmological and astrophysical parameters from the combination of gravitational wave sirens and galaxy catalogues. Importantly, the method relies on the completeness of the galaxy catalogues being well modelled. A magnitude-limited catalogue will always be incomplete to some extent, requiring a completion scheme to avoid biasing the parameter inference. Standard methods include homogeneous and multiplicative completion, which have the advantage of simplicity but underestimate or overestimate the amplitude of structure at low completeness, respectively. In this work, we propose a new method to complete galaxy catalogues which uses clustering information to incorporate knowledge of the large scale structure into the dark sirens method. We find that if the structure of the true number of galaxies is sufficiently well preserved in the catalogue, our estimator can perform drastically better than both homogeneous and multiplicative completion. We lay the foundations for a maximally informative dark sirens analysis and discuss its limitations.

arXiv comment29 pages, 11 figures, adapted to match published version in JCAP

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Cited by in corpus (8)

• Cosmology and Astrophysics with Standard Sirens and Galaxy Catalogs in View of Future Gravitational Wave Observations
• Cosmic Cartography: Bayesian reconstruction of the galaxy density informed by large-scale structure
• Accelerating the standard siren method: Improved constraints on modified gravitational-wave propagation with future data
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• A Bright Future? Prospects for Cosmological Tests of GR with Multimessenger Gravitational Wave Events
• Echoes from the dark: Galaxy catalog incompleteness in standard siren cosmology
• The Luminosity of the Darkness: Schechter function in dark sirens
• Constraining the lensing dispersion from the angular clustering of binary black hole mergers