PhD_Thesis_amended.pdf (4.96 MB)
Download file

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

Download (4.96 MB)
thesis
posted on 25.11.2021, 22:48 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.

History

Campus location

Australia

Principal supervisor

Paul Lasky

Additional supervisor 1

Eric Thrane

Year of Award

2021

Department, School or Centre

Physics and Astronomy

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Science