Cargando…
Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
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: intensi...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465316/ https://www.ncbi.nlm.nih.gov/pubmed/28580940 http://dx.doi.org/10.1038/ncomms15461 |
_version_ | 1783242921368092672 |
---|---|
author | 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. |
author_facet | 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. |
author_sort | Sanchez-Gonzalez, A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5465316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54653162017-06-22 Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning 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. Nat Commun Article 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. Nature Publishing Group 2017-06-05 /pmc/articles/PMC5465316/ /pubmed/28580940 http://dx.doi.org/10.1038/ncomms15461 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article 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. Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465316/ https://www.ncbi.nlm.nih.gov/pubmed/28580940 http://dx.doi.org/10.1038/ncomms15461 |
work_keys_str_mv | AT sanchezgonzaleza accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT micaellip accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT olivierc accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT barillottr accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT ilchenm accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT lutmanaa accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT marinellia accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT maxwellt accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT achnera accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT agakerm accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT berrahn accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT bostedtc accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT bozekjd accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT buckj accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT bucksbaumph accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT monteroscarron accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT cooperb accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT cryanjp accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT dongm accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT feifelr accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT frasinskilj accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT fukuzawah accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT gallera accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT hartmanng accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT hartmannn accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT helmlw accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT johnsonas accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT kniea accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT lindahlao accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT liuj accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT motomurak accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT muckem accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT ogradyc accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT rubenssonje accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT simpsoner accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT squibbrj accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT sathec accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT uedak accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT vacherm accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT walkedj accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT zhaunerchykv accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT coffeern accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning AT marangosjp accuratepredictionofxraypulsepropertiesfromafreeelectronlaserusingmachinelearning |