Optimisation studies and data-driven background estimation in searches for the supersymmetric partner of the top quark with the ATLAS Detector at the LHC

Miano, Fabrizio (2018) Optimisation studies and data-driven background estimation in searches for the supersymmetric partner of the top quark with the ATLAS Detector at the LHC. Doctoral thesis (PhD), University of Sussex.

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Abstract

This thesis presents the search for the supersymmetric partner of the top quark in p s Æ 13 TeV proton-proton collisions at the LHC using data collected by the ATLAS detector in 2015 and 2016. Results were interpreted considering natural supersymmetric extensions of the Standard Model in R-parity conserving decays. Events characterised by four or more jets and missing transverse momentum in the final states were selected. The performance of the tracking algorithms used by the ATLAS online trigger were studied. Optimisation studies of the search regions to increase the sensitivity to supersymmetric signals were performed and data-driven techniques to estimate StandardModel backgrounds were employed. The agreement between data and background predictionswas extensively checked and the extrapolations frombackgroundenriched regions to signal-enriched regions were validated. The analysis yielded no significant excess therefore exclusion limits on various models were set.

Item Type: Thesis (Doctoral)
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Subjects: Q Science > QC Physics > QC0770 Nuclear and particle physics. Atomic energy. Radioactivity > QC0793 Elementary particle physics > QC0793.3.A-Z Special Topics, A-Z > QC0793.3.S9 Symmetry. Invariance
Depositing User: Library Cataloguing
Date Deposited: 15 Nov 2018 17:17
Last Modified: 15 Nov 2018 17:17
URI: http://sro.sussex.ac.uk/id/eprint/80277

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