Search for leptoquark signals at the LHC using machine-learned likelihoods.

DÍAZ, DANIEL A.; ARGANDA, ERNESTO; ALEJANDRO ANDRÉS SZYNKMAN; PEREZ, ANDRES DANIEL; SANDÁ SEOANE, ROSA

Valparaiso

Otro; 2023 CERN Latin American School of High-Energy Physics; 2023

CERN

Abstract: among the possible extensions of the Standard Model of Particle Physics (SM) there are modelssuch as Grand Unified Theories (GUTs) which contain particles that couple to quarks and leptons calledLeptoquarks (LQs). The goal of our present work is to analyze whether a supervised machine-learning methodcould impact positively to improve the bounds on the parameters for up-like and down-like scalar LQs set bythe ATLAS and CMS collaborations at the LHC.