Paper |
Title |
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WEP031 |
Using A Neural Network Control Policy For Rapid Switching Between Beam Parameters in an FEL |
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- A.L. Edelen, S. Biedron, S.V. Milton
CSU, Fort Collins, Colorado, USA
- P.J.M. van der Slot
Mesa+, Enschede, The Netherlands
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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.
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-FEL2017-WEP031
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