Journal Article

PUBDB-2018-00593

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning

Sanchez-Gonzalez, A. (Corresponding author) ; Micaelli, P. ; Olivier, C. ; Barillot, T. R. ; Ilchen, M. ; Lutman, A. A. ; Marinelli, A. ; Maxwell, T. ; Achner, A. ; Agåker, M. ; Berrah, N. ; Bostedt, C. ; Bozek, J. D. ; Buck, J.DESY* ; Bucksbaum, P. H. ; Montero, S. C. ; Cooper, B. ; Cryan, J. P. ; Dong, M. ; Feifel, R. ; Frasinski, L. J. ; Fukuzawa, H. ; Galler, A. ; Hartmann, G.DESY* ; Hartmann, N. ; Helml, W. ; Johnson, A. S. ; Knie, A. ; Lindahl, A. O. ; Liu, J. ; Motomura, K. ; Mucke, M. ; O’Grady, C. ; Rubensson, J.-E. ; Simpson, E. R. ; Squibb, R. J. ; Såthe, C. ; Ueda, K. ; Vacher, M. ; Walke, D. J. ; Zhaunerchyk, V. ; Coffee, R. N. ; Marangos, J. P.

2017
Nature Publishing Group London

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Please use a persistent id in citations: doi:10.1038/ncomms15461  doi:10.3204/PUBDB-2018-00593

Abstract: Free-electron lasers providing ultra-short high-brightness pulses of X-ray radiation have great potential for a wide impact on science, and are a critical element for unravelling the structural dynamics of matter. To fully harness this potential, we must accurately know the X-ray properties: intensity, spectrum and temporal profile. Owing to the inherent fluctuations in free-electron lasers, this mandates a full characterization of the properties for each and every pulse. While diagnostics of these properties exist, they are often invasive and many cannot operate at a high-repetition rate. Here, we present a technique for circumventing this limitation. Employing a machine learning strategy, we can accurately predict X-ray properties for every shot using only parameters that are easily recorded at high-repetition rate, by training a model on a small set of fully diagnosed pulses. This opens the door to fully realizing the promise of next-generation high-repetition rate X-ray lasers.

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Contributing Institute(s):

1. Experimentebetreuung PETRA III (FS-PE)

Research Program(s):

1. 6211 - Extreme States of Matter: From Cold Ions to Hot Plasmas (POF3-621) (POF3-621)

Experiment(s):

1. Measurement at external facility

Appears in the scientific report 2017

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