Deep Learning Exotic Hadrons
| Autor: | JPAC Collaboration, Ng, L., Bibrzycki, L., Nys, J., Fernandez-Ramirez, C., Pilloni, A., Mathieu, V., Rasmusson, A. J., Szczepaniak, A. P. |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Physical Review D 105 (2022) L091501 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1103/PhysRevD.105.L091501 |
| Popis: | We perform the first model independent 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. Comment: Manuscript: 5 pages, 5 figures, 1 table; Supplemental material: 7 pages, 7 figures, 1 table |
| Databáze: | arXiv |
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