Café com Física

Machine learning as a tool for particle physics in collider experiments

by Nuno Castro (LIP, U. Minho)

Sala de Conferências (Departamento de Física FCTUC)

Sala de Conferências

Departamento de Física FCTUC

Universidade de Coimbra

In this 45 seminar the role of machine learning in experimental particle physics at colliders will be discussed. Illustrative examples of the use of supervised and unsupervised machine learning in the context of the analysis of Large Hadron Collider (LHC) data will be covered. Additionally, the use of machine learning in the context of phenomenology and model building will also be presented.

Organized by

Paulo Brás, Paulo Silva, Jaime Silva