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research article

Deep learning exotic hadrons

Ng, L.
•
Bibrzycki, L.
•
Nys, J.  
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May 17, 2022
Physical Review D

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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Type
research article
DOI
10.1103/PhysRevD.105.L091501
Web of Science ID

WOS:000807778600001

Author(s)
Ng, L.
Bibrzycki, L.
Nys, J.  
Fernandez-Ramirez, C.
Pilloni, A.
Mathieu, V
Rasmusson, A. J.
Szczepaniak, A. P.
Date Issued

2022-05-17

Publisher

American Physical Society

Published in
Physical Review D
Volume

105

Issue

9

Article Number

L091501

Subjects

Astronomy & Astrophysics

•

Physics, Particles & Fields

•

Astronomy & Astrophysics

•

Physics

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CQSL  
Available on Infoscience
July 4, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/189048
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