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Bayesian Inference in Astrophysics: Applications to Gravitational-Wave Memory and Quasi-Periodic Oscillations

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posted on 2021-11-25, 22:48 authored by MORITZ THOMAS HUEBNER
In this thesis, I explore how Bayesian inference, a key statistical technique in astrophysics, can be used to analyse some of the most energetic phenomena. First, I show that we can use inference to find small deviations in the models of gravitational waves, specifically the gravitational-wave memory effect. Gravitational waves are sourced in the collision of black holes and finding the memory effect is an important test of prevalent theories. I also show that inference is a useful tool to develop and evaluate models for x-ray signals, specifically to search for oscillatory behaviour.


Campus location


Principal supervisor

Paul Lasky

Additional supervisor 1

Eric Thrane

Year of Award


Department, School or Centre

Physics and Astronomy


Doctor of Philosophy

Degree Type



Faculty of Science