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SUMMARY:Quasinormal modes from numerical relativity with Bayesian inferenc
 e  - Richard Dyer (DAMTP\, IoA) 
DTSTART:20251128T130000Z
DTEND:20251128T140000Z
UID:TALK237748@talks.cam.ac.uk
CONTACT:Daniela Cors
DESCRIPTION:Following a binary black hole merger\, the remnant undergoes a
  characteristic relaxation towards its final Kerr state through the radiat
 ion of quasinormal modes (QNMs): oscillations at specific complex frequenc
 ies dictated by black hole perturbation theory. Although these modes are r
 outinely extracted from numerical relativity waveforms\, reliably determin
 ing the full QNM content of the ringdown remains a significant challenge. 
  \nIn this talk\, I will present a new\, fully Bayesian\, data-driven fram
 ework for identifying QNMs\, providing a robust alternative to conventiona
 l least-squares approaches. I will illustrate how this method enables the 
 detection of QNMs in state-of-the-art Cauchy-characteristic evolution simu
 lations\, including overtones\, retrograde modes\, and nonlinear modes up 
 to cubic order. I will also discuss its application to the search for late
 -time power-law tails.  
LOCATION:Potter Room / Zoom 
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