A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE

Fuente: arXiv

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Bibliographic Details
Main Authors:	Mishra, Aashwin, Seaberg, Matt, Roussel, Ryan, Poitevin, Fred, Thayer, Jana, Ratner, Daniel, Edelen, Auralee, Mehta, Apurva
Format:	Preprint
Published:	2025
Subjects:	Instrumentation and Detectors Machine Learning High Energy Physics - Experiment
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2505.23858