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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
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cc Creative Commons Attribution 3.0