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Naturalness Confronts Nature: Searches for Supersymmetry with the CMS Detector in pp Collisions at √s = 8 and 13 TeV

Citation

Duarte, Javier Mauricio Gonzalez (2017) Naturalness Confronts Nature: Searches for Supersymmetry with the CMS Detector in pp Collisions at √s = 8 and 13 TeV. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9GX48JV. http://resolver.caltech.edu/CaltechTHESIS:08232016-112522351

Abstract

In this thesis, we present two inclusive searches for supersymmetric particles at 8 and 13 TeV using the razor variables and guided by the principle of naturalness. We build a framework to explore the natural supersymmetry parameter space of gluino and top squark masses and branching ratios, which is a unique attempt to cover this parameter space in a more complete way than ever before using LHC data. With this approach, the production of top squarks and gluinos are excluded below 700 GeV and 1.6 TeV, respectively, independent of the branching ratios, constituting one of the tightest constraints on natural supersymmetry from the LHC. Motivated by the need to mitigate the effects of multiple interactions per bunch crossing (pileup), an essential feature of present and future hadron colliders, in this thesis we also study the precision timing capabilities of a LYSO-based sampling calorimeter, and achieve a time resolution of 30 ps in electron test beam measurements. The achieved resolution corresponds to the precision needed to significantly reduce the inclusion of pileup particles in the reconstruction of the event of interest. This study is foundational in building an R and D program on precision timing for the high-luminosity LHC and other future hadron colliders. We also propose alternative simplified models to study Higgs-plus-jets events at the LHC, and reinterpret an excess observed at 8 TeV in the context of these models. Finally, we discuss a search for narrow resonances in the dijet mass spectrum at 13 TeV using the data-scouting technique at CMS, which records a smaller event format to increase the maximum recordable rate. For the benchmark models with a vector or axial-vector mediator that couples to quarks and dark matter particles, the dijet search excludes mediator masses from 0.5 TeV up to 2.7 TeV largely independent of the dark matter particle mass, which constitutes a larger exclusion than traditional mono-X searches at the LHC. In the plane of the dark matter-nucleon interaction cross section versus dark matter mass, the dijet search is also more sensitive than direct detection experiments for spin-dependent cross sections.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:supersymmetry, SUSY, razor variables, particle physics, high energy physics, dijet resonance, dark matter, stop, top squark, gluino, higgsino, naturalness, natural SUSY, Higgs boson, hierarchy problem, Large Hadron Collider, LHC, CMS, CERN, Fermilab, test beam, high luminosity
Degree Grantor:California Institute of Technology
Division:Physics, Mathematics and Astronomy
Major Option:Physics
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Spiropulu, Maria
Thesis Committee:
  • Spiropulu, Maria (chair)
  • Weinstein, Alan Jay
  • Newman, Harvey B.
  • Golwala, Sunil
  • Schwarz, John H.
Defense Date:11 August 2016
Funders:
Funding AgencyGrant Number
Department of EnergyDE-SC0011925
National Science Foundation Graduate Research FellowshipDGE-1144469
Record Number:CaltechTHESIS:08232016-112522351
Persistent URL:http://resolver.caltech.edu/CaltechTHESIS:08232016-112522351
DOI:10.7907/Z9GX48JV
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1103/PhysRevD.91.052018DOIPublished article adapted for Ch. 7
https://doi.org/10.1103/PhysRevD.95.012003DOIPublished article constituting Ch. 8
http://dx.doi.org/10.1016/j.nima.2015.04.013DOIPublished article constituting Ch. 9
https://arxiv.org/abs/1611.03568arXivPreprint adapted for App. B
ORCID:
AuthorORCID
Duarte, Javier Mauricio Gonzalez0000-0002-5076-7096
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:9904
Collection:CaltechTHESIS
Deposited By: Javier Duarte
Deposited On:20 Jan 2017 18:00
Last Modified:12 Dec 2018 22:43

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