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Progress Towards Machine Learning-Based Real-Time Non-Destructive Prediction of the Longitudinal Phase Space Evolution in a Particle Accelerator
C. Emma; O.R. Convery; A.L. Edelen; M.J. Hogan
2021
Source PublicationProceedings of the 10th International Beam Instrumentation Conference
Conference Date2021
Conference PlaceKorea
Language英语
Document Type会议论文
Identifierhttp://ir.ihep.ac.cn/handle/311005/291386
Collection学术会议_国际参会_JaCoW高能所参会会议_IBIC
AffiliationSLAC, Menlo Park, California, USA
Recommended Citation
GB/T 7714
C. Emma,O.R. Convery,A.L. Edelen,et al. Progress Towards Machine Learning-Based Real-Time Non-Destructive Prediction of the Longitudinal Phase Space Evolution in a Particle Accelerator[C],2021.
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thoa03_talk.pdf(5654KB)会议论文 限制开放CC BY-NC-SAApplication Full Text
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