Nov 12 – 14, 2019
Europe/Paris timezone
- Max number of participants reached, further registrations will be on waiting list -

Machine learning for an XFEL accelerator

Nov 13, 2019, 2:00 PM
50m

Speaker

Dr Daniel Ratner (SLAC)

Description

X-ray Free Electron Lasers (XFELs) are among the most complex modern accelerator facilities. With large parameter spaces, highly non-linear behavior, and large data rates, there are expanding opportunities to apply machine learning to XFEL operation and design. In this talk I will give an overview of the challenges, and will cover several applications of machine learning, including online optimization, surrogate modeling, computer vision, and multiplex data acquisition

Presentation materials