Automating strong galaxy-scale gravitational lens modelling with neural networks

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Automating strong galaxy-scale gravitational lens modelling with neural networks

Strong galaxy-scale gravitational lensing provides a powerful means of studying galaxy formation, constraining cosmology and understanding the evolution of large-scale structure. The presence of a foreground lensing galaxy deflects the light rays of a background source into multiple images, with the...

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Bibliographic Details
Main Author:	Pearson, Christopher James
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2022
Subjects:	Strong galaxy-scale gravitational lensing Lens modelling Machine learning Convolutional neural network Bayesian neural network Extragalactic astronomy Galaxy structure
Online Access:	https://eprints.nottingham.ac.uk/69006/

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