Aiming for the top corner: Measuring top-quark pair production in association with additional jets in highly boosted events using the ATLAS detector

Jamieson, Jonathan (2022) Aiming for the top corner: Measuring top-quark pair production in association with additional jets in highly boosted events using the ATLAS detector. PhD thesis, University of Glasgow.

Full text available as:
[thumbnail of 2022JamiesonPhD.pdf] PDF
Download (34MB)

Abstract

Since beginning operations in 2010 the Large Hadron Collider (LHC) has consistently pushed the boundaries of high energy physics and provided a wealth of proton-proton collision events. Due to the high centre of mass energies achieved, and the QCD nature of protonproton collisions, the LHC is particularly suited to the production of top-quarks, resulting in the apt nickname of ’top factory’. This thesis outlines the process of making state-of-the-art precision measurements of the top-quark pair production cross-section in events with a high energy top-quark and additional radiation, using data recorded by the ATLAS detector at the LHC from 2015 to 2018. Focus is put on comparing measured values with different QCD predictions showcasing how suited current theories are to estimating complex, multi-scale, and above leading-order processes. Both single and double-differential cross-section measurements as functions of various event kinematic properties are presented with results derived from proton-proton collisions, at a centre-of-mass energy of 13 TeV. Additionally a single differential measurement is used to set limits on new physics using an effective field theory framework.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Colleges/Schools: College of Science and Engineering > School of Physics and Astronomy
Supervisor's Name: Owen, Professor Mark and Buttar, Professor Craig
Date of Award: 2022
Depositing User: Theses Team
Unique ID: glathesis:2022-82777
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 31 Mar 2022 14:03
Last Modified: 08 Apr 2022 16:41
Thesis DOI: 10.5525/gla.thesis.82777
URI: https://theses.gla.ac.uk/id/eprint/82777

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year