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Evidence for Single Top Quark Production Using Bayesian Neural Networks

Title: Evidence for Single Top Quark Production Using Bayesian Neural Networks.
Name(s): Kau, Daekwang, author
Prosper, Harrison B., professor directing dissertation
Aldrovandi, Ettore, outside committee member
Adams, Todd, committee member
Reina, Laura, committee member
Piekarewicz, Jorge, committee member
Department of Physics, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2007
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: We present results of a search for single top quark production in pp collisions using a dataset of approximately 1 fb−1 collected with the DØ detector. This analysis considers the muon+jets and electron+jets final states and makes use of Bayesian neural networks to separate the expected signals from backgrounds. The observed excess is associated with a p-value of 0.081%, assuming the background-only hypothesis, which corresponds to an excess over background of 3.2 standard deviations for a Gaussian density. The p-value computed using the SM signal cross section of 2.9 pb is 1.6%, corresponding to an expected significance of 2.2 standard deviations. Assuming the observed excess is due to single top production, we measure a single top quark production cross section of _(p¯p ! tb+X, tqb+X) = 4.4±1.5 pb.
Identifier: FSU_migr_etd-3296 (IID)
Submitted Note: A Dissertation submitted to the Department of Physics in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Degree Awarded: Fall Semester, 2007.
Date of Defense: August 20, 2007.
Bibliography Note: Includes bibliographical references.
Advisory Committee: Harrison B. Prosper, Professor Directing Dissertation; Ettore Aldrovandi, Outside Committee Member; Todd Adams, Committee Member; Laura Reina, Committee Member; Jorge Piekarewicz, Committee Member.
Subject(s): Physics
Persistent Link to This Record:
Owner Institution: FSU

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Kau, D. (2007). Evidence for Single Top Quark Production Using Bayesian Neural Networks. Retrieved from