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

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 reco

SUBMITTER: Sanchez-Gonzalez A 

PROVIDER: S-EPMC5465316 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature