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DOI:10.18429/JACoW-IPAC2016-WEPOW055
Title Bayesian Optimization of FEL Performance at LCLS
Authors
  • M.W. McIntire, T.M. Cope, D.F. Ratnerpresenter
    SLAC, Menlo Park, California, USA
  • S. Ermon
    Stanford University, Stanford, California, USA
Abstract The LCLS free-elec­tron laser at SLAC is tuned via a huge num­ber of pa­ra­me­ters such as en­ergy and mag­net set­tings. Much of this tun­ing, in­clud­ing quadru­pole mag­net set­tings, is typ­i­cally done by hand by the LCLS op­er­a­tors. In this paper we in­tro­duce an au­to­mated tun­ing sys­tem using Bayesian op­ti­miza­tion, and de­scribe its ap­pli­ca­tion to the op­ti­miza­tion of noisy ob­jec­tives such as FEL per­for­mance. We demon­strate with pre­lim­i­nary re­sults from our im­ple­men­ta­tion at LCLS that this sys­tem can im­prove both the speed of tun­ing pro­ce­dures as well as the qual­ity of the re­sult­ing so­lu­tion.
Funding Research is supported by the U.S. Department of Energy under Contract No. DE-AC02-76SF00515.
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Conference IPAC2016, Busan, Korea
Series International Particle Accelerator Conference (7th)
Proceedings Link to full IPAC2016 Proccedings
Session Poster Session
Date 11-May-16   16:00–18:00
Main Classification 06 Beam Instrumentation, Controls, Feedback and Operational Aspects
Sub Classification T32 Online Modelling and Software Tools
Keywords FEL, controls, interface, laser, electron
Publisher JACoW, Geneva, Switzerland
Editors Christine Petit-Jean-Genaz (CERN, Geneva, Switzerland); Dong Eon Kim (PAL, Pohang, Republic of Korea); Kyung Sook Kim (PAL, Pohang, Republic of Korea); In Soo Ko (POSTECH, Pohang, Republic of Korea); Volker RW Schaa (GSI, Darmstadt, Germany)
ISBN 978-3-95450-147-2
Published June 2016
Copyright
Copyright © 2016 by JACoW, Geneva, Switzerland     CC-BY Creative Commons License
cc Creative Commons Attribution 3.0