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Cornell University

New Tools In The Search For Supersymmetry

Abstract

dc:description.abstract

The Large Hadron Collider has thrust humanity into the TeV-scale era of particle physics, and with it we have discovered a new Higgs-like particle and set stronger limits on possible theories of supersymmetry and beyond-the-Standard-Model physics. But while the experimental community continues to improve their searches for new physics, the lack of clear beyond-the-Standard-Model discoveries so far has made it apparent that if we are to discover new physics there, the theoretical community must continually develop new methods as well. New tools must be forged and applied to the problems we face at the Large Hadron Collider and possible future particle colliders. This dissertation expresses one contribution, out of many, in this regard. We begin by using boosted top tagging to look for signals of R-parity conserving supersymmetry. Then we use other jet substructure techniques to look for signals of Rparity violating supersymmetry. Lastly, we use the SUSY-Yukawa sum rule to look beyond the phenomenology and probe the crucial cancellation of divergences at the heart of supersymmetric theories.

Degree

thesis:*
Name thesis:degree_name
Ph. D., Physics
Level thesis:degree_level
Doctor of Philosophy
Discipline thesis:degree_discipline
Physics
Grantor
Cornell University
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Saelim, Michael
Committee members dc:contributor.committeemember
  • Grossman, Yuval
  • Alexander, James Paul

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1813/39002
OAI identifier oai:identifier
oai:ecommons.cornell.edu:1813/39002

Chain of custody

source
Harvested from
Cornell University
Base URL
ecommons.cornell.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Saelim, Michael. New Tools In The Search For Supersymmetry. Doctor of Philosophy thesis, Cornell University, 2014. https://hdl.handle.net/1813/39002