Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics

Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics

Abstract We explore machine learning-based jet and event identification at the future Electron-Ion Collider (EIC). We study the effectiveness of machine learning-based classifiers at relatively low EIC energies, focusing on (i) identifying the flavor of the jet and (ii) identifying the underlying ha...

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Bibliographic Details
Main Authors: Kyle Lee, James Mulligan, Mateusz Płoskoń, Felix Ringer, Feng Yuan
Format: Article
Language:English
Published: SpringerOpen 2023-03-01
Series:Journal of High Energy Physics
Subjects:
Deep Inelastic Scattering or Small-x Physics
Jets and Jet Substructure
Parton Distributions
Properties of Hadrons
Online Access:https://doi.org/10.1007/JHEP03(2023)085

Internet

https://doi.org/10.1007/JHEP03(2023)085

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