Inferring additional physics through unmodelled signal reconstructions

Das, Rimo, Gayathri, V., Divyajyoti, Divyajyoti ORCID: https://orcid.org/0000-0002-2787-1012, Jose, Sijil, Bartos, Imre, Klimenko, Sergey and Kant Mishra, Chandra 2025. Inferring additional physics through unmodelled signal reconstructions. arXiv. 10.48550/ARXIV.2412.11749

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Abstract

Parameter estimation of gravitational wave data is often computationally expensive, requiring simplifying assumptions such as circularisation of binary orbits. Although, if included, the sub-dominant effects like orbital eccentricity may provide crucial insights into the formation channels of compact binary mergers. To address these challenges, we present a pipeline strategy leveraging minimally modelled waveform reconstruction to identify the presence of eccentricity in real time. Using injected signals, we demonstrate that ignoring eccentricity (e20Hz≳0.1) leads to significant biases in parameter recovery, including chirp mass estimates falling outside the 90% credible interval. Waveform reconstruction shows inconsistencies increase with eccentricity, and this behaviour is consistent for different mass ratios. Our method enables low-latency inferences of binary properties supporting targeted follow-up analyses and can be applied to identify any physical effect of measurable strength.

Item Type:	Working paper
Date Type:	Submission
Status:	Published
Schools:	Schools > Physics and Astronomy
Publisher:	arXiv
Last Modified:	28 Jan 2026 12:24
URI:	https://orca.cardiff.ac.uk/id/eprint/176361

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