A generative adversarial network as the basis for a semi-inclusive deep inelastic lepton scattering generator on a polarized proton

A generative adversarial network as the basis for a semi-inclusive deep inelastic lepton scattering generator on a polarized proton

A neural network, that allows someone to obtain results for semi-inclusive deep inelastic scattering of charged leptons on polarized protons, with the production of pions or strange K mesons, has been developed in this study. The research covered both transverse and longitudinal polarizations of the...

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Bibliographic Details
Main Authors: Lobanov Andrey, Berdnikov Yaroslav, Muzyaev Evgeniy
Format: Article
Language:English
Published: Peter the Great St.Petersburg Polytechnic University 2024-03-01
Series:St. Petersburg Polytechnical University Journal: Physics and Mathematics
Subjects:
semi-inclusive deep inelastic scattering
asymmetries
machine learning
neural network
generative-adversarial network
Online Access:https://physmath.spbstu.ru/article/2024.71.10/

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