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https://doi.org/10.18429/JACoW-FEL2017-TUB04
Title Recent On-Line Taper Optimization on LCLS
Authors
  • J. Wu, X. Huang, T.O. Raubenheimer
    SLAC, Menlo Park, California, USA
  • A. Scheinker
    LANL, Los Alamos, New Mexico, USA
Abstract High-brightness XFELs are demanding for many users, in particular for certain types of imaging applications. Self-seeding XFELs can respond to a heavily tapered undulator more effectively, therefore seeded tapered FELs are considered as a path to high-power FELs in the terawatts level. Due to many effects, including the synchrotron motion, the optimization of the taper profile is intrinsically multi-dimensional and computationally expensive. With an operating XFEL, such as LCLS, the on-line optimization becomes more economical than numerical simulation. Here we report recent on-line taper optimization on LCLS taking full advantages of nonlinear optimizers as well as up-to-date development of artificial intelligence: deep machine learning and neural networks.
Funding The work was supported by the US Department of Energy (DOE) under contract DE-AC02-76SF00515 and the US DOE Office of Science Early Career Research Program grant FWP-2013-SLAC-100164.
Paper download TUB04.PDF [0.616 MB / 6 pages]
Slides download TUB04_TALK.PDF [8.227 MB]
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Conference FEL2017, Santa Fe, NM, USA
Series International Free Electron Laser Conference (38th)
Proceedings Link to full FEL2017 Proccedings
Session Seeded FELs
Date 22-Aug-17   10:30–12:00
Main Classification Seeded FELs
Keywords ion, FEL, electron, undulator, experiment
Publisher JACoW, Geneva, Switzerland
Editors Kip Bishofberger (LANL, Los Alamos, NM, USA); Bruce Carlsten (LANL, Los Alamos, NM, USA); Volker RW Schaa (GSI, Darmstadt, Germany)
ISBN 978-3-95450-179-3
Published February 2018
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