The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
TY - UNPB AU - Adelmann, A. ED - White, Karen S. ED - Brown, Kevin A. ED - Dyer, Philip S. ED - Schaa, Volker RW TI - Report From the 2nd ICFA Mini-Workshop on Machine Learning for Charged Particle Accelerators J2 - Proc. of ICALEPCS2019, New York, NY, USA, 05-11 October 2019 CY - New York, NY, USA T2 - International Conference on Accelerator and Large Experimental Physics Control Systems T3 - 17 LA - english AB - 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. PB - JACoW Publishing CP - Geneva, Switzerland ER -