Jet substructure for the LHC
Abstract/Contents
- Abstract
- The discovery of new physics at the LHC hinges on our ability to discriminate the old (the Standard Model) from the new. The study of the substructure of jets offers a powerful set of techniques for improving the reach of new physics searches at the LHC. Moreover, jet substructure observables are a sensitive probe of QCD dynamics and motivate a variety of tests of QCD. This thesis explores several jet substructure techniques with a particular focus on applications to event discrimination. First, a jet observable is introduced that probes the color structure of pairs of subjets. This observable is incorporated into a top tagging algorithm, where it is shown to improve discrimination between top jets and QCD jets. Second, an alternative approach to jet substructure is introduced that is distinct from the prevailing methods based on the clustering trees induced by sequential jet algorithms. This approach makes use of two-particle angular correlations to identify substructure within jets. In one application, this approach is used to construct a top tagging algorithm that is competitive with existing methods. In another application, ensemble averages of angular correlations are used to study the underlying event and pile-up effects.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2012 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Jankowiak, Martin David |
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Associated with | Stanford University, Department of Physics |
Primary advisor | Wacker, Jay |
Thesis advisor | Wacker, Jay |
Thesis advisor | Peskin, Michael Edward, 1951- |
Thesis advisor | Schwartzman, Ariel G |
Advisor | Peskin, Michael Edward, 1951- |
Advisor | Schwartzman, Ariel G |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Martin David Jankowiak. |
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Note | Submitted to the Department of Physics. |
Thesis | Thesis (Ph.D.)--Stanford University, 2012. |
Location | electronic resource |
Access conditions
- Copyright
- © 2012 by Martin David Jankowiak
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