Ng, L.Bibrzycki, Ł.Nys, J.Fernández Ramírez, CésarPilloni, A.Mathieu, VincentRasmusson, A. J.Szczepaniak, A. P.2023-06-222023-06-222022-05-172470-001010.1103/PhysRevD.105.L091501https://hdl.handle.net/20.500.14352/71951We 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.engAtribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/Deep learning exotic hadronsjournal articlehttps://doi.org/10.1103/PhysRevD.105.L091501open accessPartículas2208 Nucleónica