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

Alrheli, Ahmad F. ORCID: https://orcid.org/0000-0001-7337-9195 (2023) The Design and Performance of Muon Scattering Tomography Reconstruction Algorithms for Applications in Nuclear Waste Identification. PhD thesis, University of Sheffield.

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: 22 Nov 2024 01:06
Open Archives Initiative ID (OAI ID):

Download

Final eThesis - complete (pdf)

Filename: FinalThesisCorrectedAhmadAlrheli.pdf

Description: PhD Thesis High-Energy-Physics

Licence: Creative Commons Licence
This work is licensed under a Creative Commons Attribution NonCommercial NoDerivatives 4.0 International License

Export

Statistics


You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.