Atkinson, Oliver (2024) Particle physics phenomenology at the LHC and beyond. PhD thesis, University of Glasgow.
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Abstract
The prevailing paradigm of particle physics, the Standard Model, has proven to be superbly successful since its inception, but cracks are beginning to show and plenty of phenomenological challenges have presented themselves. This thesis takes a few approaches to the study of particle physics phenomenology, using both model dependent and model independent frameworks. New states in the Higgs sector are introduced and studied first in the context of their interference patterns in the top quark sector, and then the two Higgs doublet model is examined in the face of a vast array of current and future collider searches, flavour observables, and theoretical and cosmological considerations. Machine learning techniques are applied to the Standard Model effective field theory framework to show how future colliders may be better able to constrain models of new physics, and through the use of graph neural networks, be able to pick out anomalous events from the large background of collider environments.
Item Type: | Thesis (PhD) |
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Qualification Level: | Doctoral |
Subjects: | Q Science > QC Physics |
Colleges/Schools: | College of Science and Engineering > School of Physics and Astronomy |
Funder's Name: | Science and Technology Facilities Council (STFC) |
Supervisor's Name: | Englert, Professor Christoph and Miller, Dr. David |
Date of Award: | 2024 |
Depositing User: | Theses Team |
Unique ID: | glathesis:2024-84479 |
Copyright: | Copyright of this thesis is held by the author. |
Date Deposited: | 26 Jul 2024 10:02 |
Last Modified: | 26 Jul 2024 10:12 |
Thesis DOI: | 10.5525/gla.thesis.84479 |
URI: | https://theses.gla.ac.uk/id/eprint/84479 |
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