Using a Neural Network Control Policy for Rapid Switching Between Beam Parameters in an FEL

A.L. Edelen, S.G. Biedron, J.P. Edelen, S.V. Milton, P.J.M. van der Slot

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
9 Downloads (Pure)

Abstract

FEL user facilities often must accommodate requests for a variety of beam parameters. This usually requires skilled operators to tune the machine, reducing the amount of available time for users. In principle, a neural network control policy that is trained on a broad range of operating states could be used to quickly switch between these requests without substantial need for human intervention.
We present preliminary results from an ongoing study in which a neural network control policy is investigated for rapid switching between beam parameters in a
compact THz FEL.
Original languageEnglish
Title of host publicationProceedings of the 38th International Free Electron Laser Conference (FEL 2017)
Place of PublicationSanta Fe, New Mexico
Pages406-409
DOIs
Publication statusPublished - 20 Aug 2017
Event38th International Free Electron Laser Conference, FEL 2017 - Santa Fe Community Convention Center (SFCCC), Santa Fe, United States
Duration: 20 Aug 201725 Aug 2017
Conference number: 38
http://www.lanl.gov/conferences/free-electron-laser/

Conference

Conference38th International Free Electron Laser Conference, FEL 2017
Abbreviated titleFEL
CountryUnited States
CitySanta Fe
Period20/08/1725/08/17
Internet address

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    Edelen, A. L., Biedron, S. G., Edelen, J. P., Milton, S. V., & van der Slot, P. J. M. (2017). Using a Neural Network Control Policy for Rapid Switching Between Beam Parameters in an FEL. In Proceedings of the 38th International Free Electron Laser Conference (FEL 2017) (pp. 406-409). [WEP031] Santa Fe, New Mexico. https://doi.org/10.18429/JACoW-FEL2017-WEP031