A generator of deep inelastic lepton-proton scattering based on the Generative-Adversarial Network (GAN)

The paper considers the application of a Generative Adversarial Network (GAN) for the development of a generator of deep inelastic lepton-proton scattering. The difficulty of effective training of the generator based on GAN is noted. It is associated with the use of complex schemes of distributions...

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Bibliographic Details
Main Authors: Lobanov Andrey, Berdnikov Yaroslav
Format: Article
Language:English
Published: Peter the Great St.Petersburg Polytechnic University 2023-12-01
Series:St. Petersburg Polytechnical University Journal: Physics and Mathematics
Subjects:
Online Access:https://physmath.spbstu.ru/article/2023.70.14/