Jet substructure for the LHC

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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
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2012
Issuance monographic
Language English

Creators/Contributors

Associated with Jankowiak, Martin David
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

Bibliographic information

Statement of responsibility Martin David Jankowiak.
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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