Keyword: diagnostics
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WEVIR10 Adaptive Feedback Control and Machine Learning for Particle Accelerators FEL, electron, controls, feedback 53
  • A. Scheinker
    LANL, Los Alamos, New Mexico, USA
  The precise control of charged particle beams, such as an electron beam’s longitudinal phase space as well as the maximization of the output power of a free electron laser (FEL), or the minimization of beam loss in accelerators, are challenging tasks. For example, even when all FEL parameter set points are held constant both the beam phase space and the output power have high variance because of the uncertainty and time-variation of thousands of coupled parameters and of the electron distribution coming off of the photo cathode. Similarly, all large accelerators face challenges due to time variation, leading to beam losses and changing behavior even when all accelerator parameters are held fixed. We present recent efforts towards developing machine learning methods along with automatic, model-independent feedback for automatic tuning of charge particle beams in particle accelerators. We present experimental results from the LANSCE linear accelerator at LANL, the EuXFEL, AWAKE at CERN, FACET-II and the LCLS.  
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DOI • reference for this paper ※  
About • paper received ※ 27 May 2020       paper accepted ※ 12 June 2020       issue date ※ 14 June 2020  
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WEVIR16 A Novel Nondestructive Diagnostic Method for MeV Ultrafast Electron Diffraction electron, experiment, detector, real-time 67
  • X. Yang, M.G. Fedurin, J.J. Li, T.V. Shaftan, V.V. Smaluk, L. Wu, L. Yu, Y. Zhu
    BNL, Upton, New York, USA
  • W. Wan
    ShanghaiTech University, Shanghai, People’s Republic of China
  Funding: BNL LDRD
A real-time, nondestructive, Bragg-diffracted electron beam energy, energy-spread and spatial-pointing jitter monitor is experimentally verified by encoding the electron beam energy and spatial-pointing jitter information into the mega-electron-volt ultrafast electron diffraction pattern. The shot-to-shot fluctuation of the diffraction pattern is then decomposed to two basic modes, i.e., the distance between the Bragg peaks as well as its variation (radial mode) and the overall lateral shift of the whole pattern (drift mode). Since these two modes are completely decoupled, the Bragg-diffraction method can simultaneously measure the shot-to-shot energy fluctuation from the radial mode with 2,10-4 precision and spatial-pointing jitter from the drift mode having wide measurement span covering energy jitter range from 10-4 to 10-1. The key advantage of this method is that it allows us to extract the electron beam energy spread concurrently with the ongoing experiment and enables online optimization of the electron beam especially for future high charge single-shot ultrafast electron diffraction (UED) and ultrafast electron microscopy (UEM) experiments.
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DOI • reference for this paper ※  
About • paper received ※ 08 June 2020       paper accepted ※ 14 June 2020       issue date ※ 07 September 2020  
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