Biased parameter inference of eccentric, spin-precessing binary black holes

Oct 5, 2025·
Divyajyoti
,
Isobel M. Romero-Shaw
,
Vaishak Prasad
,
Kaushik Paul
,
Chandra Kant Mishra
,
Prayush Kumar
,
Akash Maurya
,
Michael Boyle
,
Lawrence E. Kidder
,
Harald P. Pfeiffer
,
Mark A. Scheel
· 1 min read
Abstract
This study evaluates how orbital eccentricity and spin precession can bias GW parameter estimation when the recovery model is mismatched. By injecting eccentric signals with a range of spin configurations (including precessing NR hybrids) and analyzing them with a quasi-circular precessing-spin model, the authors find appreciable biases in inferred parameters such as chirp mass and the precession parameter χ_p for highly eccentric systems. Model-comparison results favor an eccentric aligned-spin description over a quasi-circular precessing-spin model in relevant cases, motivating practical waveform models that handle eccentricity and precession simultaneously.
Publication
arXiv (gr-qc:2510.04332)

Status: Preprint

Authors: Divyajyoti; Isobel M. Romero-Shaw; Vaishak Prasad; Kaushik Paul; Chandra Kant Mishra; Prayush Kumar; Akash Maurya; Michael Boyle; Lawrence E. Kidder; Harald P. Pfeiffer; Mark A. Scheel

Venue: arXiv (gr-qc:2510.04332)

Study of inference biases for eccentric, spin-precessing BBH systems.