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Charles, D. (2013). Lepton Assignment Problem for the Decay of Higgs to Z Bosons to Four Leptons: A Solution Using Bayesian Neural Networks. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-7328
Within the past year, strong evidence has arisen suggesting the existence of the Higgs boson, a particle whose associated Higgs field is thought to provide mass to fundamental particles. The Higgs boson is experimentally produced at the Large Hadron Collider (LHC) by colliding together two protons. In the decay channel that we study, the protons create a Higgs boson, which then decays into two Z bosons, each of which decays into two leptons; symbolically, pp -> H -> ZZ -> 4l. The analysis that attempts to discard unrelated background data depends upon correctly assigning the leptons to their associated Z bosons. This problem is known as the lepton assignment problem. We propose a solution involving the use of a discriminant function calculated with a Bayesian Neural Network that depends on five kinematically-derived input variables.
A Thesis submitted to the Department of Physics in partial fulfillment of the requirements for the degree of Master of Science.
Bibliography Note
Includes bibliographical references.
Advisory Committee
Harrison Prosper, Professor Directing Thesis; Todd Adams, Committee Member; Simon Capstick, Committee Member.
Publisher
Florida State University
Identifier
FSU_migr_etd-7328
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Charles, D. (2013). Lepton Assignment Problem for the Decay of Higgs to Z Bosons to Four Leptons: A Solution Using Bayesian Neural Networks. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-7328