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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...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/2632-2153/acce21 http://cds.cern.ch/record/2834558 |