SUPAG08
SLAC, Menlo Park, California, USA
| Paper | Title | Page |
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SUPAG08 |
Machine Learning for X-Ray Free-Electron Lasers | |
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| 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 expanding opportunities to apply machine learning (ML) to XFEL operation. In this talk I will summarize some promising ML methods for XFELs, and highlight recent examples of successful applications. | ||
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Slides SUPAG08 [2.695 MB] | |
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