Speaker
Anderson Alexis Ruales Barbosa
(Universidad de Antioquia (CO))
Description
The strength of the coupling of the Higgs boson with other fermions and bosons has been extensively studied during the first two runs of the LHC. In this paper we study the production of the Higgs boson with 4-muon final state, i.e., Vector Boson Fusion (VBF). VBF is the process of two quarks, each emitting a Z vector boson, which then merge to create a Higgs boson. Three machine learning (ML) models are constructed: a gradient boosting based model, an Auto-ML based model and a Deep Learning model to discriminate Higgs boson events from non-Higgs boson events. The results of these models are compared with those obtained by making linear cuts.
Authors
Anderson Alexis Ruales Barbosa
(Universidad de Antioquia (CO))
Jose Ruiz
(Universidad de Antioquia (CO))
Omar Zapata
(Universidad de Antioquia (CO))
