A theory-agnostic hierarchical Bayesian framework for black-hole spectroscopy: a case study on GW250114 in Einstein-dilaton-Gauss-Bonnet gravity
Shitong Guo, Yan-Gang Miao

TL;DR
This paper introduces a flexible, theory-agnostic Bayesian framework for analyzing black-hole ringdowns, enabling direct spectral comparisons to test gravity theories with gravitational-wave data, exemplified by GW250114 in Einstein-dilaton-Gauss-Bonnet gravity.
Contribution
It develops a novel hierarchical Bayesian approach that compares observed quasinormal mode spectra directly to theory predictions, avoiding model-dependent waveform assumptions.
Findings
Posterior for the coupling parameter is robust against priors.
Nonzero couplings can be recovered from simulated signals.
Potential systematic bias from Kerr priors absorbing spectral deviations.
Abstract
Black-hole spectroscopy has emerged as a powerful probe of strong-field gravity in the era of gravitational-wave astronomy. In this context, many current tests of modified or extended gravity are implemented by searching for predicted signatures modeled as perturbative corrections to general-relativistic waveforms; however, this approach may introduce model-dependent systematics and limit applicability to broader classes of theories. To complement such methods, we develop a theory-agnostic hierarchical Bayesian framework that connects ringdown observations -- modeled as damped sinusoids -- directly with theoretical quasinormal mode spectra, performing the comparison at the spectral level rather than through theory-specific waveform matching. The framework incorporates a soft-truncation module to account for the finite domain of validity in the theory's parameter space and is equipped…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Astrophysical Phenomena and Observations · Black Holes and Theoretical Physics
