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University of Cambridge > Talks.cam > DAMTP Friday GR Seminar > Quasinormal modes from numerical relativity with Bayesian inference
Quasinormal modes from numerical relativity with Bayesian inferenceAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Daniela Cors. Following a binary black hole merger, the remnant undergoes a characteristic relaxation towards its final Kerr state through the radiation of quasinormal modes (QNMs): oscillations at specific complex frequencies dictated by black hole perturbation theory. Although these modes are routinely extracted from numerical relativity waveforms, reliably determining the full QNM content of the ringdown remains a significant challenge. In this talk, I will present a new, fully Bayesian, data-driven framework for identifying QNMs, providing a robust alternative to conventional least-squares approaches. I will illustrate how this method enables the detection of QNMs in state-of-the-art Cauchy-characteristic evolution simulations, 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. This talk is part of the DAMTP Friday GR Seminar series. This talk is included in these lists:
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