28 November 2022 to 2 December 2022
America/Bogota timezone

Machine learning approach for vector boson fusion identification

1 Dec 2022, 17:20
20m
Regular Talk (15'+5') LHC-1 LHC results

Speaker

Mr Anderson Alexis Ruales Barbosa (Universidad de Antioquia (CO))

Description

The strength of the Higgs boson's coupling with other fermions and bosons is extensively studied during the first two LHC runs. In this work, the production of the Higgs boson, namely, Vector Boson Fusion (VBF) is studied. VBF is the process of two quarks, each of which emits a vector boson, W or Z boson, which then merge to create a Higgs boson. Machine learning (ML) models are built 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

Mr Anderson Alexis Ruales Barbosa (Universidad de Antioquia (CO)) Jose Ruiz (Universidad de Antioquia (CO)) Dr Raul Ramos (Universidad de Antioquia)

Presentation materials