Ng, L. and Bibrzycki, L. and Nys, J. and Fernandez-Ramiırez, J. (2024) Machine learning exotic hadrons. Il nuovo cimento C, 47 (4). pp. 1-5. ISSN 1826-9885
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Abstract
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.
| Item Type: | Article |
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| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 23 Sep 2024 11:46 |
| Last Modified: | 23 Sep 2024 11:46 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/23168 |
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