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  4. Search For Supersymmetry In Events With A Single Lepton, Jets, And Missing Transverse Momentum Using A Neural Network

Search For Supersymmetry In Events With A Single Lepton, Jets, And Missing Transverse Momentum Using A Neural Network

File(s)
ac448.pdf (4.63 MB)
Permanent Link(s)
https://hdl.handle.net/1813/33766
Collections
Cornell Theses and Dissertations
Author
Chatterjee, Avishek
Abstract

A search for supersymmetry in proton-proton collisions at √ s = 7 TeV is presented, focusing on events with a single isolated lepton, energetic jets, and large missing transverse momentum. The analyzed data corresponds to a total integrated luminosity of 4.98 fb[-]1 recorded by the CMS experiment. The search uses an artificial neural network to suppress Standard Model backgrounds, and estimates residual backgrounds using a fully data-driven method. The analysis is performed in both the muon and electron channels, and the combined result is interpreted in terms of limits on the CMSSM parameter space, as well as a simplified model.

Date Issued
2013-01-28
Keywords
Particle Physics
•
SUSY
•
CMS
Committee Chair
Patterson, J Ritchie
Committee Member
Thom-Levy, Julia
Grossman, Yuval
Degree Discipline
Physics
Degree Name
Ph. D., Physics
Degree Level
Doctor of Philosophy
Type
dissertation or thesis

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