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): | oai:etheses.whiterose.ac.uk:33887 |
Download
Final eThesis - complete (pdf)
Filename: FinalThesisCorrectedAhmadAlrheli.pdf
Description: PhD Thesis High-Energy-Physics
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.