The first search for a Higgs boson produced with a charm quark and decaying to a W-boson pair sees no excess, and combined with the diphoton channel limits the Higgs-charm coupling to below 47 times the standard model value at 95% confidence.
Jet Flavour Classification Using DeepJet
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abstract
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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Search for a Higgs boson produced in association with a charm quark and decaying to a W boson pair in proton-proton collisions at $\sqrt{s}$ = 13 TeV
The first search for a Higgs boson produced with a charm quark and decaying to a W-boson pair sees no excess, and combined with the diphoton channel limits the Higgs-charm coupling to below 47 times the standard model value at 95% confidence.