Towards automatic setup of 18 MeV electron beamline using machine learning

To improve the performance-critical stability and brightness of the electron bunch at injection into the proton-driven plasma wakefield at the AWAKE CERN experiment, automation approaches based on unsupervised machine learning (ML) were developed and deployed. Numerical optimisers were tested togeth...

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Bibliographic Details

Published in:	Machine Learning: Science and Technology
Main Authors:	Francesco Maria Velotti, Brennan Goddard, Verena Kain, Rebecca Ramjiawan, Giovanni Zevi Della Porta, Simon Hirlaender
Format:	Article
Language:	English
Published:	IOP Publishing 2023-01-01
Subjects:	automatic electron beamline reinforcement learning reward dangling
Online Access:	https://doi.org/10.1088/2632-2153/acce21