Inferring additional physics through unmodeled signal reconstructions

Das, Rimo, Gayathri, V., Divyajyoti, Divyajyoti ORCID: https://orcid.org/0000-0002-2787-1012, Jose, Sijil, Bartos, Imre, Klimenko, Sergey and Mishra, Chandra Kant 2025. Inferring additional physics through unmodeled signal reconstructions. Physical Review D (particles, fields, gravitation, and cosmology) 112 (2) , 023011. 10.1103/3rmv-b2cq

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Abstract

Parameter estimation of gravitational wave data is often computationally expensive, requiring simplifying assumptions such as circularization of binary orbits. Although, if included, the subdominant 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 modeled waveform reconstruction to identify the presence of eccentricity in real time. Using injections (40⁢M⊙ binary black hole signals), we demonstrate that ignoring eccentricity (with values larger than ∼0.15 estimated at 20 Hz (e20)) leads to significant biases in parameter recovery, including chirp mass estimates falling outside the 90% credible interval. Waveform reconstruction shows that inconsistencies increase with eccentricity, and this behavior 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:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Physics and Astronomy
Publisher:	American Physical Society
ISSN:	2470-0010
Date of First Compliant Deposit:	7 August 2025
Date of Acceptance:	10 June 2025
Last Modified:	07 Aug 2025 10:30
URI:	https://orca.cardiff.ac.uk/id/eprint/180094

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