%0 Journal Article
%A Ng, L.
%A Bibrzycki, Ł.
%A Nys, J.
%A Fernández Ramírez, César
%A Pilloni, A.
%A Mathieu, Vincent
%A Rasmusson, A. J.
%A Szczepaniak, A. P.
%T Deep learning exotic hadrons
%D 2022
%@ 2470-0010
%U https://hdl.handle.net/20.500.14352/71951
%X 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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