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...

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Bibliographic Details
Main Authors: Lee, Kyle, Mulligan, James, Płoskoń, Mateusz, Ringer, Felix, Yuan, Feng
Other Authors: Massachusetts Institute of Technology. Center for Theoretical Physics
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2023
Online Access:https://hdl.handle.net/1721.1/148623

Internet

https://hdl.handle.net/1721.1/148623

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