Paper | Title | Page |
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THCPL01 |
Report From the 2nd ICFA Mini-Workshop on Machine Learning for Charged Particle Accelerators | |
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The goal of this workshop series is to build a world-wide community of researchers interested in applying machine learning techniques to particle accelerators. Machine Learning for accelerator science will include accelerator physicists, computer and controls scientists. I will give a summary on the discussed machine learning topics: facility needs, prognostics, optimization, and beam dynamics. | ||
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Slides THCPL01 [24.252 MB] | |
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