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Search for type-III seesaw heavy fermions with multilepton final states using 2.3/fb of √s = 13 TeV proton--proton collision data
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Thomassen, Peter. Search for type-III seesaw heavy fermions with multilepton final states using 2.3/fb of √s = 13 TeV proton--proton collision data. Retrieved from https://doi.org/doi:10.7282/T3WH2S5V

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TitleSearch for type-III seesaw heavy fermions with multilepton final states using 2.3/fb of √s = 13 TeV proton--proton collision data
NameThomassen, Peter (author); Somalwar, Sunil (chair); Schnetzer, Stephen (internal member); Buckley, Matthew (internal member); Croft, Mark (internal member); Hooberman, Benjamin (outside member); Rutgers University; Graduate School - New Brunswick
Date Created2016
Other Date2016-05 (degree)
SubjectPhysics and Astronomy, Proton-proton interactions
Extent1 online resource (xi, 81 p. : ill.)
DescriptionA search for type-III seesaw signal in events with three or more electrons or muons is presented. The data sample corresponds to 2.3/fb of integrated luminosity in proton–proton collisions at √s = 13 TeV collected by the CMS experiment at the LHC. Since the signal populates channels with at least three leptons and diverse kinematic properties, the data is binned in exclusive channels. The primary selection is based on the number of leptons and the invariant mass of opposite-sign dilepton systems which helps discriminate the signal against the Standard Model background. The final optimization for the type-III seesaw signal is based on the sum of leptonic transerve momenta and missing transverse energy. Control samples in data are used to check the robustness of background evaluation techniques and to minimize the reliance on simulation. The observations are consistent with expectations from Standard Model processes. The results are used to exclude heavy fermions of the type-III seesaw model with masses below 430 GeV.
NotePh.D.
NoteIncludes bibliographical references
Noteby Peter Thomassen
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/T3WH2S5V
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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