Publication

Deep learning exotic hadrons

Jannes Willy E. Nys
2022
Journal Articles

Abstract

We perform the first amplitude analysis of experimental data using deep neural networks to determine the nature of an exotic hadron. Specifically, we study the line shape of the P-c(4312) signal reported by the LHCb collaboration, and we find that its most likely interpretation is that of a virtual state. This method can be applied to other near-threshold resonance candidates.

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Deep learning exotic hadrons

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Search for excited tau leptons in the ττγ final state in proton-proton collisions at = 13 TeV

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