Speaker
Ksenia de Leo
(University of Hamburg)
Description
A search for new particles decaying to top quark pairs is presented. The analysis uses pp-collision data with a center-of-mass energy of 13 TeV, collected with the CMS experiment during Run-2 of the LHC. The data correspond to an integrated luminosity of $138 ~\text{fb}^{-1}$.
The search is performed in final states with one lepton, missing transverse energy and jets, and exploits novel top-tagging techniques to identify the hadronic decay of top quarks. A multi-class neural network has been developed to categorise the events in the main backgrounds from known standard model processes. Expected exclusion limits are set for different benchmark models, targeting both resonant and non-resonant signatures.
Primary author
Ksenia de Leo
(University of Hamburg)
