Machine learning exotic hadrons
We show that a neural network trained with synthetic differential intensities calculated with scattering length approximated amplitudes classifies the Pc(4312)+ signal as a virtual state located at the 4th Riemann sheet with very high certainty. This is in line with the results of other analyses but surpasses them by providing a simultaneous evaluation of probabilities of competing scenarios, like, e.g., the interpretation as a bound state. Using the Shapley Additive Explanations we identified the energy bins which are key for the physical interpretation.
2-s2.0-85198269563
College of Arts and Sciences
AGH University of Krakow
École Polytechnique Fédérale de Lausanne
Universidad Nacional de Educacion a Distancia
Università degli Studi di Messina
Universitat de Barcelona
Indiana University Bloomington
Jefferson Lab Theory Center
2024
47
4
207
REVIEWED
EPFL
| Funder | Funding(s) | Grant Number | Grant URL |
Marie SkłodowskaCurie | |||
European Union's Horizon 2020 research and innovation programme | |||
European Union’s Horizon 2020 research and innovation programme | 754496 | ||
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