1 code implementation • 14 Nov 2020 • Jason St. John, Christian Herwig, Diana Kafkes, William A. Pellico, Gabriel N. Perdue, Andres Quintero-Parra, Brian A. Schupbach, Kiyomi Seiya, Nhan Tran, Javier M. Duarte, Yunzhi Huang, Malachi Schram, Rachael Keller
We describe a method for precisely regulating the gradient magnet power supply at the Fermilab Booster accelerator complex using a neural network trained via reinforcement learning.
Accelerator Physics
no code implementations • 29 Dec 2019 • Rachael Keller, Qiang Du
Linear multistep methods (LMMs) are popular time discretization techniques for the numerical solution of differential equations.
