Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
About this item
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Author / Creator
Sanchez-Gonzalez, A. , 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. , Bucksbaum, P. H. , Montero, S. Carron , Cooper, B. , Cryan, J. P. , Dong, M. , Feifel, R. , Frasinski, L. J. , Fukuzawa, H. , Galler, A. , Hartmann, G. , 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. , SLAC National Accelerator Lab., Menlo Park, CA (United States) , MAX IV Laboratory , Lund University , MAX IV-laboratoriet and Lunds universitet
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
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 in...
Alternative Titles
Full title
Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
Authors, Artists and Contributors
Author / Creator
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.
Bucksbaum, P. H.
Montero, S. Carron
Cooper, B.
Cryan, J. P.
Dong, M.
Feifel, R.
Frasinski, L. J.
Fukuzawa, H.
Galler, A.
Hartmann, G.
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.
SLAC National Accelerator Lab., Menlo Park, CA (United States)
MAX IV Laboratory
Lund University
MAX IV-laboratoriet
Lunds universitet
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_fa0d86670e2840eb9cd9a555d1830812
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fa0d86670e2840eb9cd9a555d1830812
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/ncomms15461
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