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URLhttps://doi.org/10.18429/JACoW-ICALEPCS2025-MOCG004
TitleOptimization of the transfer line against collective effects using physics-constrained generative phase space reconstruction
Authors
  • S. Kim, G. Kim, H. Yang
    Pohang Accelerator Laboratory
  • R. Roussel, A. Edelen
    SLAC National Accelerator Laboratory
  • J. Gonzalez-Aguilera
    University of Chicago
AbstractOptimization of the transfer line against collective effects such as space charge and coherent synchrotron radiation (CSR) effects is crucial to preserve the beam quality. While simple conventional diagnostic methods provide ensemble averaged beam parameters or limited information of phase space, they are still limited in obtaining precise, complete 6-dimensional phase space with all the correlations due to hardware and dedicated time requirements. A generative phase space reconstruction method (GPSR) has been developed as a robust diagnostic framework that reconstructs complete 6-dimensional phase space. Here we show a physics-constrained GPSR model that incorporates known physical parameters, such as RMS beam sizes and emittances, as constraints. We performed simulated demonstrations at the Pohang Accelerator Laboratory X-ray Free Electron Laser facility that the Physics-informed GPSR can be performed for complete 6-dimensional phase space. Furthermore, by using the reconstructed phase space, we performed non-differentiable particle tracking simulations to investigate the phase space evolution against the space charge and CSR along the bunch compressor. We present the trend of predicted CSR-induced emittance growth, which closely matches the ground truth.
Paperdownload: MOCG004.pdf
CiteBibTeX, LaTeX, Text/Word, RIS, EndNote
Conference20th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'25)
Series
LocationChicago, IL, USA
Date20-26 Sep 2025
PublisherJACoW Publishing, Geneva, Switzerland
Editorial BoardKent Wootton (ANL), Jeffery Biss (FNAL), Gustavo Bruno (ANL), Jeff Kirchman (ANL), Kelly Jaje (ANL), Denise Skiadopoulos (ANL), SuYin Grass Wang (ANL)
Online ISBN978-3-95450-255-4
Online ISSN2226-0358
Received05 September 2025
Revised23 September 2025
Accepted04 November 2025
Issued25 November 2025
DOI10.18429/JACoW-ICALEPCS2025-MOCG004
Pages99-105