Journals of Accelerator Conferences Website (JACoW)
JACoW
is a publisher in Geneva, Switzerland that publishes the
proceedings of accelator conferences held around the world
by an international collaboration of editors.
| URL | https://doi.org/10.18429/JACoW-NAPAC2025-MOP002 |
|---|---|
| Title | Advancing accelerator virtual beam diagnostics through Latent Evolution Modeling: An integrated solution to forward, inverse, tuning, and UQ problems |
| Authors |
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| Abstract | Virtual beam diagnostics relies on computationally intensive beam dynamics simulations where high-dimensional charged particle beams evolve through the accelerator. We propose Latent Evolution Model (LEM), a hybrid machine learning framework with an autoencoder that projects high-dimensional phase spaces into lower-dimensional representations, coupled with transformers to learn temporal dynamics in the latent space. This approach provides a common foundational framework addressing multiple interconnected challenges in beam diagnostics. For *forward modeling*, a Conditional Variational Autoencoder (CVAE) encodes 15 unique projections of the 6D phase space into a latent representation, while a transformer predicts downstream latent states from upstream inputs. For *inverse problems*, we address two distinct challenges: (a) predicting upstream phase spaces from downstream observations by utilizing the pretrained CVAE with transformers trained on reversed temporal sequences, and (b) estimating RF settings from the latent space of the trained LEM using a dedicated dense neural network that maps latent representations to RF parameters. For *tuning problems*, we leverage the trained LEM and RF estimator within a Bayesian optimization framework to determine optimal RF settings that minimize beam loss. This paper summarizes our recent efforts and demonstrates how this unified approach effectively addresses these traditionally separate challenges. |
| Paper | download: MOP002.pdf |
| Cite | BibTeX, LaTeX, Text/Word, RIS, EndNote |
| Conference | North American Particle Accelerator Conference (NAPAC2025) |
| Series | |
| Location | Sacramento, CA, USA |
| Date | 10-15 Aug 2025 |
| Publisher | JACoW Publishing, Geneva, Switzerland |
| Editorial Board | Tor O. Raubenheimer (SLAC), Roark A. Marsh (LLNL), Eric Prebys (UC Davis), Ling Wang (FRIB), Petr Anisimov (LANL), Kip Bishofberger (LANL), Gustavo Bruno (ANL), Zhichu Chen (SARI), Jan Chrin (PSI), Kelly Jaje (ANL), Jaeyu Lee (POSTECH), Magdalena Montes-Loera (SLAC), Mary Saethre (PHENOTYPE), Tasha Summers (SLAC), Kent Wootton (ANL) |
| Online ISBN | 978-3-95450-261-5 |
| Online ISSN | 2673-7000 |
| Received | 08 August 2025 |
| Revised | 13 August 2025 |
| Accepted | 14 August 2025 |
| Issued | 28 August 2025 |
| DOI | 10.18429/JACoW-NAPAC2025-MOP002 |
| Pages | 38-41 |
| Copyright | Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |