Berkeley Lab

2022 Publications

Indicating the collaborative nature of our work, many of these papers have a corresponding author outside LBNL. These are indicated with italics.

ACCELERATOR MODELING PROGRAM

J. Qiang, “X-ray FEL linear accelerator design via start-to-end global optimization,” Nuclear Instruments & Methods in Physics Research A 1027, 166294 (11 March 2022, available online 17 January 2022), https://doi.org/10.1016/j.nima.2021.166294

Invited talk without publication venue
Axel Huebl, “openPMD – Scientific, Community Meta-Data Standard,” LPA Online Workshop on Control Systems and Machine Learning, Working Group 5, “Big data storage, handling and access,” January 26, 2022, slides at
https://doi.org/10.5281/zenodo.5905053

USPAS course
Remi Lehe, lead instructor, “Optimization and Machine Learning for Accelerators,” Online Winter 2022 Session, January 24-February 4, 2022.

BELLA Center

Jianhui Bin, Lieselotte Obst-Huebl, Jian-Hua Mao, Kei Nakamura (LBNL); Laura D. Geulig (now at LMU Munich); Hang Chang, Qing Ji, Li He (LBNL); Jared De Chant (now at Michigan State University); Zachary Kober, Anthony J. Gonsalves, Stepan Bulanov, Susan E. Celniker, Carl B. Schroeder, Cameron G.R. Geddes, Eric Esarey, Blake A. Simmons, Thomas Schenkel, Eleanor A. Blakely (LBNL); Sven Steinke (now at Marvel Gusion GmbH); Antoine M. Snijders (LBNL), “A new platform for ultra-high dose rate radiobiological research using the BELLA PW laser proton beamline,” Nature Scientific Reports 12, 1484 (27 January 2022), https://doi.org/10.1038/s41598-022-05181-3