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Simultaneous measurements of $t\bar{t}$ production with additional heavy-flavor jets in the semileptonic channel with the CMS experiment

Kunnilan Muhammed Rafeek, Rufa 1
1 Institut für Experimentelle Teilchenphysik (ETP), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The production of top quark-antiquark pair ($t\bar{t}$) in association with additional particles ($X$), such as the Higgs boson, or heavy-flavor jets, plays an important role in experimental studies at the Large Hadron Collider (LHC) at CERN. These processes provide a sensitive probe of the Standard Model (SM) and are important for improving the modeling of backgrounds in Higgs boson measurements and searches for physics beyond the SM. This thesis presents a simultaneous measurement of $t\bar{t}$ production in association with heavy-flavor jets using proton collision data collected data at the CMS detector at the LHC during Run-II at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 138 fb$^{-1}$. The targeted processes include $t\bar{t}$ production with additional bottom and charm jets, as well as associated production with a Higgs boson with decay $\text{H}\rightarrow\text{b}\bar{\text{b}}$ and a Z boson decay with $\text{Z}\rightarrow\text{b}\bar{\text{b}}$. These processes are studied in the semileptonic $t\bar{t}$ channel, requiring exactly one isolated charged lepton (electron or muon) in the final state. ... mehr


Volltext §
DOI: 10.5445/IR/1000192982
Veröffentlicht am 07.05.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Experimentelle Teilchenphysik (ETP)
Publikationstyp Hochschulschrift
Publikationsdatum 07.05.2026
Sprache Englisch
Identifikator KITopen-ID: 1000192982
Verlag Karlsruher Institut für Technologie (KIT)
Umfang vi, 264 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Physik (PHYSIK)
Institut Institut für Experimentelle Teilchenphysik (ETP)
Prüfungsdatum 24.04.2026
Schlagwörter top quark physics, tt+X production, CMS experiment, Large Hadron Collider, Run II (13 TeV), cross section measurement, signal strength,, Graph Neural Networks, machine learning in particle physics, ttH, ttZ, ttC, ttB
Referent/Betreuer Husemann, Ulrich
Kieseler, Jan
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