Spectroscopy for asymmetric binary black hole mergers
Jahed Abedi, C. D. Capano, Shilpa Kastha, A. Nitz, Yifan Wang, J. Westerweck, Alex B. Nielsen, B. Krishnan
Abstract
We study Bayesian inference of black hole ringdown modes for simulated binary black hole signals. We consider to what extent different fundamental ringdown modes can be identified in the context of black hole spectroscopy. Our simulated signals are inspired by the high-mass event GW190521. We find strong correlation between mass ratio and Bayes factors of the subdominant ringdown modes. The Bayes factor values and time dependency, and the peak time of the (3,3,0) mode align with those found analyzing the real event GW190521, particularly for high-mass ratio systems.
Topics & Concepts
Mass ratioPhysicsBinary numberContext (archaeology)SpectroscopyBlack hole (networking)Bayes' theoremMode (computer interface)Bayes factorInferenceEvent (particle physics)Bayesian probabilityComputational physicsAstrophysicsStatisticsQuantum mechanicsComputer scienceMathematicsPaleontologyRouting (electronic design automation)Artificial intelligenceComputer networkLink-state routing protocolRouting protocolOperating systemArithmeticBiologyPulsars and Gravitational Waves ResearchModel Reduction and Neural NetworksAstrophysical Phenomena and Observations