Four-dimensional phase-space reconstruction of flat and magnetized beams using neural networks and differentiable simulations

Journal Article · 21 July 2024 · Physical Review Accelerators and Beams

DOI: https://doi.org/10.1103/PhysRevAccelBeams.27.074601 · OSTI ID:2474617

Kim, Seongyeol ; Gonzalez-Aguilera, Juan Pablo ; Piot, Philippe ; Chen, Gongxiaohui; Doran, Scott; Kim, Young-Kee; Liu, Wanming; Whiteford, Charles; Wisniewski, Eric; Edelen, Auralee; Roussel, Ryan ; Power, John

Beams with cross-plane coupling or extreme asymmetries between the two transverse phase spaces are often encountered in particle accelerators. Flat beams with large transverse-emittance ratios are critical for future linear colliders. Similarly, magnetized beams with significant cross-plane coupling are expected to enhance the performance of electron cooling in hadron beams. Preparing these beams requires precise control and characterization of the four-dimensional transverse phase space. In this study, we employ generative phase-space reconstruction techniques to rapidly characterize magnetized and flat-beam phase-space distributions using a conventional quadrupole-scan method. The reconstruction technique is experimentally demonstrated on an electron beam produced at the Argonne Wakefield Accelerator and successfully benchmarked against conventional diagnostics techniques. Specifically, we show that predicted beam parameters from the reconstructed phase-space distributions (e.g., as magnetization and flat-beam emittances) are in excellent agreement with those measured from the conventional diagnostic methods. Published by the American Physical Society 2024

• Research Organization: Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
• Sponsoring Organization: National Science Foundation (NSF); USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF)
• Grant/Contract Number: AC02-05CH11231; AC02-06CH11357; AC02-76SF00515
• OSTI ID: 2474617
• Journal Information: Physical Review Accelerators and Beams, Journal Name: Physical Review Accelerators and Beams Journal Issue: 7 Vol. 27; ISSN 2469-9888; ISSN PRABCJ
• Publisher: American Physical SocietyCopyright Statement
• Country of Publication: United States
• Language: English