Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning

X-ray free-electron lasers, important light sources for materials research, suffer from shot-to-shot fluctuations that necessitate complex diagnostics. Here, the authors apply machine learning to accurately predict pulse properties, using parameters that can be acquired at high-repetition rates.

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Autores principales: A. Sanchez-Gonzalez, P. Micaelli, C. Olivier, T. R. Barillot, M. Ilchen, A. A. Lutman, A. Marinelli, T. Maxwell, A. Achner, M. Agåker, N. Berrah, C. Bostedt, J. D. Bozek, J. Buck, P. H. Bucksbaum, S. Carron Montero, B. Cooper, J. P. Cryan, M. Dong, R. Feifel, L. J. Frasinski, H. Fukuzawa, A. Galler, G. Hartmann, N. Hartmann, W. Helml, A. S. Johnson, A. Knie, A. O. Lindahl, J. Liu, K. Motomura, M. Mucke, C. O’Grady, J-E Rubensson, E. R. Simpson, R. J. Squibb, C. Såthe, K. Ueda, M. Vacher, D. J. Walke, V. Zhaunerchyk, R. N. Coffee, J. P. Marangos
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/fa0d86670e2840eb9cd9a555d1830812
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spelling oai:doaj.org-article:fa0d86670e2840eb9cd9a555d18308122021-12-02T17:06:26ZAccurate prediction of X-ray pulse properties from a free-electron laser using machine learning10.1038/ncomms154612041-1723https://doaj.org/article/fa0d86670e2840eb9cd9a555d18308122017-06-01T00:00:00Zhttps://doi.org/10.1038/ncomms15461https://doaj.org/toc/2041-1723X-ray free-electron lasers, important light sources for materials research, suffer from shot-to-shot fluctuations that necessitate complex diagnostics. Here, the authors apply machine learning to accurately predict pulse properties, using parameters that can be acquired at high-repetition rates.A. Sanchez-GonzalezP. MicaelliC. OlivierT. R. BarillotM. IlchenA. A. LutmanA. MarinelliT. MaxwellA. AchnerM. AgåkerN. BerrahC. BostedtJ. D. BozekJ. BuckP. H. BucksbaumS. Carron MonteroB. CooperJ. P. CryanM. DongR. FeifelL. J. FrasinskiH. FukuzawaA. GallerG. HartmannN. HartmannW. HelmlA. S. JohnsonA. KnieA. O. LindahlJ. LiuK. MotomuraM. MuckeC. O’GradyJ-E RubenssonE. R. SimpsonR. J. SquibbC. SåtheK. UedaM. VacherD. J. WalkeV. ZhaunerchykR. N. CoffeeJ. P. MarangosNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-9 (2017)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
A. Sanchez-Gonzalez
P. Micaelli
C. Olivier
T. R. Barillot
M. Ilchen
A. A. Lutman
A. Marinelli
T. Maxwell
A. Achner
M. Agåker
N. Berrah
C. Bostedt
J. D. Bozek
J. Buck
P. H. Bucksbaum
S. Carron Montero
B. Cooper
J. P. Cryan
M. Dong
R. Feifel
L. J. Frasinski
H. Fukuzawa
A. Galler
G. Hartmann
N. Hartmann
W. Helml
A. S. Johnson
A. Knie
A. O. Lindahl
J. Liu
K. Motomura
M. Mucke
C. O’Grady
J-E Rubensson
E. R. Simpson
R. J. Squibb
C. Såthe
K. Ueda
M. Vacher
D. J. Walke
V. Zhaunerchyk
R. N. Coffee
J. P. Marangos
Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
description X-ray free-electron lasers, important light sources for materials research, suffer from shot-to-shot fluctuations that necessitate complex diagnostics. Here, the authors apply machine learning to accurately predict pulse properties, using parameters that can be acquired at high-repetition rates.
format article
author A. Sanchez-Gonzalez
P. Micaelli
C. Olivier
T. R. Barillot
M. Ilchen
A. A. Lutman
A. Marinelli
T. Maxwell
A. Achner
M. Agåker
N. Berrah
C. Bostedt
J. D. Bozek
J. Buck
P. H. Bucksbaum
S. Carron Montero
B. Cooper
J. P. Cryan
M. Dong
R. Feifel
L. J. Frasinski
H. Fukuzawa
A. Galler
G. Hartmann
N. Hartmann
W. Helml
A. S. Johnson
A. Knie
A. O. Lindahl
J. Liu
K. Motomura
M. Mucke
C. O’Grady
J-E Rubensson
E. R. Simpson
R. J. Squibb
C. Såthe
K. Ueda
M. Vacher
D. J. Walke
V. Zhaunerchyk
R. N. Coffee
J. P. Marangos
author_facet A. Sanchez-Gonzalez
P. Micaelli
C. Olivier
T. R. Barillot
M. Ilchen
A. A. Lutman
A. Marinelli
T. Maxwell
A. Achner
M. Agåker
N. Berrah
C. Bostedt
J. D. Bozek
J. Buck
P. H. Bucksbaum
S. Carron Montero
B. Cooper
J. P. Cryan
M. Dong
R. Feifel
L. J. Frasinski
H. Fukuzawa
A. Galler
G. Hartmann
N. Hartmann
W. Helml
A. S. Johnson
A. Knie
A. O. Lindahl
J. Liu
K. Motomura
M. Mucke
C. O’Grady
J-E Rubensson
E. R. Simpson
R. J. Squibb
C. Såthe
K. Ueda
M. Vacher
D. J. Walke
V. Zhaunerchyk
R. N. Coffee
J. P. Marangos
author_sort A. Sanchez-Gonzalez
title Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
title_short Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
title_full Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
title_fullStr Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
title_full_unstemmed Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
title_sort accurate prediction of x-ray pulse properties from a free-electron laser using machine learning
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/fa0d86670e2840eb9cd9a555d1830812
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