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Simultaneous cross section measurements of top quark-antiquark pair production with additional heavy flavor jets at the CMS experiment

Pfeffer, Emanuel Lorenz ORCID iD icon 1
1 Institut für Experimentelle Teilchenphysik (ETP), Karlsruher Institut für Technologie (KIT)

Abstract:

This thesis presents a simultaneous cross section measurement of top quark-antiquark pair ($\text{t}\bar{\text{t}}$) production in association with b jets, c jets, a Higgs boson, or a Z boson in the $\text{H/Z}\to \text{b}\bar{\text{b}}$ decay mode with exactly two charged leptons (e,$\mu$), targeting the dilepton $\text{t}\bar{\text{t}}$ decay channel.
The measurement is performed at the CMS experiment at the CERN LHC in proton-proton collisions at a center-of-mass energy of $13\,\text{TeV}$ and the analyzed data corresponds to an integrated luminosity of approximately $60\,\text{fb}^{-1}$.
Collision events are modeled as a mathematical graph structure and processed using graph transformer neural network architectures based on multi-head attention mechanisms to perform multi-class classification.
The measured cross sections are parameterized as signal strength parameters relative to the cross sections predicted by the SM.
Four signal strength parameters are simultaneously extracted in a maximum likelihood fit to data and result to $\mu_{\text{t}\bar{\text{t}}\text{B}}^{\text{obs}} = 0.98^{+0.34}_{-0.25}$, $\mu_{\text{t}\bar{\text{t}}\text{C}}^{\text{obs}} = 0.74^{+0.41}_{-0.41}$, $\mu_{\text{t}\bar{\text{t}}\text{H}}^{\text{obs}} = 0.89^{+0.95}_{-0.93}$, and $\mu_{\text{t}\bar{\text{t}}\text{Z}}^{\text{obs}} = 1.28^{+1.15}_{-1.06} $, corresponding to an observed (expected) significance of $15\sigma$ ($16\sigma$) for $\text{t}\bar{\text{t}}\text{B}$, $1.8\sigma$ ($2.9\sigma$) for $\text{t}\bar{\text{t}}\text{C}$, $1.0\sigma$ ($1.1\sigma$) for $\text{t}\bar{\text{t}}\text{H}$, and $1.2\sigma$ ($1.0\sigma$) for $\text{t}\bar{\text{t}}\text{Z}$ compared to the SM prediction without these processes.
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Volltext §
DOI: 10.5445/IR/1000178528
Veröffentlicht am 29.01.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Experimentelle Teilchenphysik (ETP)
Publikationstyp Hochschulschrift
Publikationsdatum 29.01.2025
Sprache Englisch
Identifikator KITopen-ID: 1000178528
Verlag Karlsruher Institut für Technologie (KIT)
Umfang viii, 229 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Physik (PHYSIK)
Institut Institut für Experimentelle Teilchenphysik (ETP)
Prüfungsdatum 24.01.2025
Schlagwörter CERN, LHC, CMS, particle physics, top physics, Higgs physics, cross section, Artificial Intelligence, Machine Learning
Nachgewiesen in OpenAlex
Referent/Betreuer Husemann, Ulrich
Müller, Thomas
KIT – Die Universität in der Helmholtz-Gemeinschaft
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