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Jet Flavour Classification Using DeepJet
Emil Bols, Jan Kieseler, Mauro Verzetti, Markus Stoye, Anna Stak · 2020-08-24 · via stat.ML updates on arXiv.org

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.

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