U.S. Particle Accelerator School
U.S. Particle Accelerator School
Education in Beam Physics and Accelerator Technology
Canceled: Stony Brook University (2020)
USPAS sponsored by Stony Brook University
June 15-26, 2020
***(Canceled due to Covid-19 pandemic. Courses either offered online in summer 2021 or in-person in summer 2022.)**
June 15-26, 2020 two-week full courses
Fundamentals of Accelerator Physics and Technology with Simulations and Measurements Lab (undergrad level)Instructors: Simon C. Leemann, Fernando Sannibale, Stefano DeSantis and Michael Betz, Lawrence Berkeley National Lab
Accelerator Physics
Instructors: Steven Lund, Michigan State University and USPAS; Yue Hao, Michigan State University; Yichao Jing, Brookhaven National Lab; Jonathan Wong, Oak Ridge National Lab
Classical Mechanics and Electromagnetism in Accelerator Physics
Instructors: Jeffrey Eldred, Fermilab and Xiaobiao Huang, SLAC National Accelerator Lab
Measurement and Control of Charged Particle Beams
Instructors: Michiko Minty, Brookhaven National Laboratory; Frank Zimmermann, CERN; Jonathan Edelen, RadiaSoft LLC
RF Superconductivity for Particle Accelerators
Instructors: Sergey Belomestnykh, Alex Romanenko and Sam Posen, Fermilab
June 15-19, 2020 one-week half courses
Cyclotrons: Beam Dynamics and DesignInstructors: Rick Baartman and Thomas Planche, TRIUMF
Laser Applications to Particle Beams and Accelerators
Instructors: Shukui Zhang, Jefferson Lab; Sergio Carbajo, SLAC; and Patrick Inacker, Brookhaven National Lab
Spin Dynamics in Particle Accelerators
Instructors: Francois Meot, Haixin Huang and Vadim Ptitsyn, Brookhaven National Lab; Fanglei Lin, Jefferson Lab
June 22-26, 2020 one-week half courses
Practical Issues in Cyclotron Design and ConstructionInstructors: Tim Koeth, Brian Beaudoin and Amber Johnson; University of Maryland
Fundamentals of Timing and Synchronization with Applications to Accelerators
Instructors: Russell Wilcox, Gang Huang, Qiang Du, Jonah Weber, Tong Zhou and Yilun Xu, Lawrence Berkeley National Lab
Optimization and Machine Learning for Accelerators
Instructors: Remi Lehe, Lawrence Berkeley National Lab; Auralee Edelen, Nicole Neveu and Christopher Mayes, SLAC