Jet Flavour Classification Using DeepJet

Understand

Jet flavour classification is of paramount importance for a broad range of applications in modern-day high-energy-physics experiments, particularly at the LHC.

• In this paper we propose a novel architecture for this task that exploits modern deep learning techniques.
• This new model, called DeepJet, overcomes the limitations in input size that affected previous approaches.
• As a result, the heavy flavour classification performance improves, and the model is extended to also perform quark-gluon tagging.