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Title: Optimisation studies and data-driven background estimation in searches for the supersymmetric partner of the top quark with the ATLAS Detector at the LHC
Author: Miano, Fabrizio
ISNI:       0000 0004 7431 6331
Awarding Body: University of Sussex
Current Institution: University of Sussex
Date of Award: 2018
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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.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: QC0793.3.S9 Symmetry. Invariance