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10-15 March 2019
Steinmatte conference center
Europe/Zurich timezone

Machine learning for an X-ray FEL

11 Mar 2019, 11:00
Steinmatte conference center

Steinmatte conference center

Hotel Allalin, Saas Fee, Switzerland https://allalin.ch/conference/
Plenary Track 2: Data Analysis - Algorithms and Tools Plenary


Daniel Ratner (Stanford University)


X-ray Free Electron Lasers (XFELs) are among the most complex accelerator projects in the world today. With large parameter spaces, sensitive dependence on beam quality, huge data rates, and challenging machine protection, there are diverse opportunities to apply machine learning (ML) to XFEL operation. This talk will summarize promising ML methods and highlight recent examples of successful applications at the Linac Coherent Light Source (LCLS).

Primary author

Daniel Ratner (Stanford University)

Presentation materials