The Design and Performance of Muon Scattering Tomography Reconstruction Algorithms for Applications in Nuclear Waste Identification

Metadata

Supervisors:	Thompson, Lee
Keywords:	Muon Tomography, cosmic muon, nuclear waste, nuclear waste packages, nuclear waste storage, reconstruction algorithms, machine learning, conditioned radioactive waste identification, imaging techniques
Awarding institution:	University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Science (Sheffield) > Physics and Astronomy (Sheffield)
Depositing User:	Dr Ahmad ALRHELI
Date Deposited:	05 Dec 2023 00:29
Last Modified:	05 Dec 2023 00:29

Embargoed until: 22 November 2024

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Filename: FinalThesisCorrectedAhmadAlrheli.pdf

Description: PhD Thesis High-Energy-Physics

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