Relatore
Chen Zhou
Descrizione
Reconstructing heavy particles from their observed decay products becomes complex when decay chains with many intermediate and final state particles are involved and requires solving ambiguities. Modern machine learning techniques offer new solutions to this task. We discuss new applications of machine-learning techniques for event-level particle reconstruction in CMS.
