Search for same-sign top quark pairs with the ATLAS detector at the LHC


Autoria(s): Cavalli, Noemi <1995>
Contribuinte(s)

Sioli, Maximiliano

Kröninger, Kevin A.

Data(s)

05/07/2023

31/12/1969

Resumo

In this thesis, a search for same-sign top quark pairs produced according to the Standard Model Effective Field Theory (SMEFT) is presented. The analysis is carried out within the ATLAS Collaboration using collision data at a center-of-mass energy of $\sqrt{s} = 13$ TeV, collected by the ATLAS detector during the Run 2 of the Large Hadron Collider, corresponding to an integrated luminosity of $140$ fb$^{-1}$. Three SMEFT operators are considered in the analysis, namely $\mathcal{O}_{RR}$, $\mathcal{O}_{LR}^{(1)}$, and $\mathcal{O}_{LR}^{(8)}$. The signal associated to same-sign top pairs is searched in the dilepton channel, with the top quarks decaying via $t \longrightarrow W^+ b \longrightarrow \ell^+ \nu b$, leading to a final state signature composed of a pair of high-transverse momentum same-sign leptons and $b$-jets. Deep Neural Networks are employed in the analysis to enhance sensitivity to the different SMEFT operators and to perform signal-background discrimination. This is the first result of the ATLAS Collaboration concerning the search for same-sign top quark pairs production in proton-proton collision data at $\sqrt{s} = 13$ TeV, in the framework of the SMEFT.

Formato

application/pdf

Identificador

http://amsdottorato.unibo.it/11051/2/cavalli_noemi_tesi.pdf

urn:nbn:it:unibo-29441

Cavalli, Noemi (2023) Search for same-sign top quark pairs with the ATLAS detector at the LHC, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Fisica <http://amsdottorato.unibo.it/view/dottorati/DOT244/>, 35 Ciclo. DOI 10.48676/unibo/amsdottorato/11051.

Idioma(s)

en

Publicador

Alma Mater Studiorum - Università di Bologna

Relação

http://amsdottorato.unibo.it/11051/

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #FIS/01 Fisica sperimentale
Tipo

Doctoral Thesis

PeerReviewed