Keyword: simulation
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WEVIR04 On-Axis Beam Accumulation Based on a Triple-Frequency RF System cavity, injection, synchrotron, storage-ring 40
 
  • G. Xu, S.C. Jiang
    IHEP, Beijing, People’s Republic of China
 
  Considering the incompatible off-axis injection scheme on the newly constructed light sources, we have proposed a new on-axis accumulation scheme based on the so-called triple-frequency RF system [1]. By means of additional second harmonic cavities, the original static longitudinal acceptance will be lengthened, which will provide the sufficient time to raise a full-strength kicker pulse. Through imposing the specific restriction on the RF parameters, the final bunch length can also be stretched to satisfy the functions of the conventional bunch lengthening system. In this paper, we will move on to explain how to build this complex triple-frequency RF system, and present the relevant simulation works.
[1] S.C. Jiang, G. Xu, On-axis injection scheme based on a triplefrequency rf system for diffraction-limited storage rings. Phys.
Rev. ST Accel. Beams 21, 110701 (2018).
 
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DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2020-WEVIR04  
About • paper received ※ 26 May 2020       paper accepted ※ 14 June 2020       issue date ※ 25 June 2020  
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WEVIR06 Hollow Electron Beams in a Photoinjector electron, linac, cathode, laser 49
 
  • A. Halavanau, Y. Ding, C.E. Mayes
    SLAC, Menlo Park, California, USA
  • S. Baturin, P. Piot
    Northern Illinois University, DeKalb, Illinois, USA
  • P. Piot
    ANL, Lemont, Illinois, USA
 
  Photoinjectors have demonstrated the capability of electron beam transverse tailoring, enabled by the microlens array (MLA) setup. For instance, electron beams, transversely segmented into periodic beamlet formations, were successfully produced in several experiments at Argonne Wakefield Accelerator (AWA). In this proceeding, we discuss necessary steps to demonstrate the hollow electron beam generation, with an arbitrary diameter and width with the MLA. We also present beam dynamics simulations and highlight key features of the hollow beam transport in LCLS copper linac.  
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DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2020-WEVIR06  
About • paper received ※ 01 June 2020       paper accepted ※ 12 June 2020       issue date ※ 27 October 2020  
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WEVIR12 Machine Learning Techniques for Optics Measurements and Corrections optics, quadrupole, controls, network 61
 
  • E. Fol, R. Tomás García
    CERN, Meyrin, Switzerland
  • G. Franchetti
    GSI, Darmstadt, Germany
 
  Recently, various efforts have presented Machine Learning (ML) as a powerful tool for solving accelerator problems. In the LHC a decision tree-based algorithm has been applied to detect erroneous beam position monitors demonstrating successful results in operation. Supervised regression models trained on simulations of LHC optics with quadrupole errors promise to significantly speed-up optics corrections by finding local errors in the interaction regions. The implementation details, results and future plans for these studies will be discussed following a brief introduction to ML concepts and its suitability to different problems in the domain of accelerator physics.  
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DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2020-WEVIR12  
About • paper received ※ 02 June 2020       paper accepted ※ 12 June 2020       issue date ※ 16 June 2020  
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