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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Autores principales:	Kyle Lee, James Mulligan, Mateusz Płoskoń, Felix Ringer, Feng Yuan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	SpringerOpen 2023-03-01
Colección:	Journal of High Energy Physics
Materias:	Deep Inelastic Scattering or Small-x Physics Jets and Jet Substructure Parton Distributions Properties of Hadrons
Acceso en línea:	https://doi.org/10.1007/JHEP03(2023)085
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