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Hunting for supersymmetry and dark matter at the electroweak scale
Descriptive
TitleInfo
Title
Hunting for supersymmetry and dark matter at the electroweak scale
Name
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NamePart
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Macaluso
NamePart
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Sebastian
NamePart
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1986-
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Sebastian Macaluso
Role
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(authority = RULIB)
author
Name
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Shih
NamePart
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David
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David Shih
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Advisory Committee
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chair
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Halkiadakis
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Eva
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Eva Halkiadakis
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Advisory Committee
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internal member
Name
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(type = family)
Thomas
NamePart
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Scott
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Scott Thomas
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Advisory Committee
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internal member
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(type = family)
Andrei
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(type = given)
Natan
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Natan Andrei
Affiliation
Advisory Committee
Role
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internal member
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Reece
NamePart
(type = given)
Matthew
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Matthew Reece
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Advisory Committee
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outside member
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Rutgers University
Role
RoleTerm
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degree grantor
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School of Graduate Studies
Role
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school
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Text
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theses
OriginInfo
DateCreated
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2018
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(type = degree)
2018-10
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2018
Place
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xx
Language
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eng
Abstract
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In this thesis, we study models of physics beyond the Standard Model (SM) at the electroweak scale and their phenomenology, motivated by naturalness and the nature of dark matter. Moreover, we introduce analyses and techniques relevant in searches at the Large Hadron Collider (LHC). We start by applying computer vision with deep learning to build a boosted top jets tagger at the LHC that outperforms previous state-of-the-art classifiers by a factor of ~2-3 or more in background rejection, over a wide range of tagging efficiencies. Next, we define a cut and count based analysis for supersymmetric top quarks at LHC Run II capable of probing the line in the mass plane where there is just enough phase space to produce an on-shell top quark from the stop decay. We also implement a comprehensive reinterpretation of the 13 TeV ATLAS and CMS searches with the first ~15/fb of data and derive constraints on various simplified models of natural supersymmetry. We discuss how these constraints affect the fine-tuning of the electroweak scale. Finally, we show how a simple extension of the minimal supersymmetric SM, consisting of a dark sector, can explain the dark matter relic abundance and the Higgs mass in a natural way.
Subject
(authority = RUETD)
Topic
Physics and Astronomy
Subject
(authority = ETD-LCSH)
Topic
Supersymmetry
Subject
(authority = ETD-LCSH)
Topic
Dark matter (Astronomy)
Subject
(authority = ETD-LCSH)
Topic
Electroweak interactions
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_9157
PhysicalDescription
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electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (173 pages) : illustrations
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Sebastian Macaluso
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TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
Location
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NjNbRU
Identifier
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doi:10.7282/t3-q8f3-rp83
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
MACALUSO
GivenName
SEBASTIAN
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2018-08-23 14:36:27
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Name
SEBASTIAN MACALUSO
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Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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windows xp
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2018-06-11T16:19:55
DateCreated
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2018-06-11T16:19:55
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