In recent years, constraints on the Hubble parameter using multiple dark sirens have been made,relying on a galaxy catalogue, correlations between the mass and redshift distributions, or both. Those studies have typically used only significant gravitational wave candidates. In this work, we present a framework for cosmological inference that bypasses per-candidate parameter estimation, uses only detection-level information. This allows the population inference from a candidate list produced directly by a search pipeline, without additional selection cuts. Our method is particularly suited to extracting information from marginal candidates, which are essential for probing the distant universe.
@article{arxiv.2512.08164,
title = {Estimation of the Hubble parameter from unedited compact object merger catalogues},
author = {Reiko Harada and Heather Fong and Kipp Cannon},
journal= {arXiv preprint arXiv:2512.08164},
year = {2026}
}