Simulation-based inference for gravitational-waves from intermediate-mass binary black holes in real noise

Raymond, Vivien ORCID: https://orcid.org/0000-0003-0066-0095, Al-Shammari, Sama and Gottel, Alexandre ORCID: https://orcid.org/0000-0002-6215-4641 2025. Simulation-based inference for gravitational-waves from intermediate-mass binary black holes in real noise. Monthly Notices of the Royal Astronomical Society 542 (2) , pp. 1103-1108. 10.1093/mnras/staf1282

Preview

PDF Available under License Creative Commons Attribution. Download (661kB) | Preview

Abstract

We present an exploratory investigation into using simulation-based inference techniques, specifically Flow-Matching Posterior Estimation, to construct a posterior density estimator trained using real gravitational-wave detector noise. Our prototype estimator is trained on a nine-dimensional space, and for training efficiency outputs posterior probability distributions for the binary black holes chirp mass and mass ratio. We use this prototype estimator to investigate possible effects on parameter estimation for intermediate-mass binary black holes and show statistically significant reduction in measurement bias. Although the results show potential for improved measurements, they also highlight the need for further work.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Physics and Astronomy
Publisher:	Oxford University Press
ISSN:	0035-8711
Date of First Compliant Deposit:	15 August 2025
Date of Acceptance:	30 July 2025
Last Modified:	01 Dec 2025 16:39
URI:	https://orca.cardiff.ac.uk/id/eprint/180459

Actions (repository staff only)

Edit Item