Exploring the flavor structure of quarks and leptons with reinforcement learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	Nishimura, Satsuki, Miyao, Coh, Otsuka, Hajime
Format:	Preprint
Published:	2023
Subjects:	High Energy Physics - Phenomenology Machine Learning High Energy Physics - Theory
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2304.14176