Anders Lindahl
Professor emeritus
Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
Författare
Summary, in English
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.
Avdelning/ar
- MAX IV-laboratoriet
Publiceringsår
2017-06-05
Språk
Engelska
Publikation/Tidskrift/Serie
Nature Communications
Volym
8
Dokumenttyp
Artikel i tidskrift
Förlag
Nature Publishing Group
Ämne
- Atom and Molecular Physics and Optics
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 2041-1723