Bayesian model selection for testing the no-hair theorem with black hole ringdowns
S. Gossan, J. Veitch, B. S. Sathyaprakash

TL;DR
This paper explores how Bayesian model selection can be used with gravitational wave data to test the no-hair theorem by detecting deviations in black hole quasi-normal mode frequencies and decay times.
Contribution
It introduces a Bayesian framework to assess the detectability of deviations from general relativity in black hole ringdowns using future gravitational wave detectors.
Findings
ET can detect <1% frequency deviations for 500 Msun black holes at 4 Gpc
NGO can detect ~0.1% deviations for 10^8 Msun black holes at 30 Gpc
Decay time deviations are harder to identify than frequency deviations
Abstract
General relativity predicts that a black hole that results from the merger of two compact stars (either black holes or neutron stars) is initially highly deformed but soon settles down to a quiescent state by emitting a superposition of quasi-normal modes (QNMs). The QNMs are damped sinusoids with characteristic frequencies and decay times that depend only on the mass and spin of the black hole and no other parameter - a statement of the no-hair theorem. In this paper we have examined the extent to which QNMs could be used to test the no-hair theorem with future ground- and space-based gravitational-wave detectors. We model departures from general relativity (GR) by introducing extra parameters which change the mode frequencies or decay times from their general relativistic values. With the aid of numerical simulations and Bayesian model selection, we assess the extent to which the…
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