19–24 May 2024
Music City Center
US/Central timezone

Progress on combining digital twins and machine learning-based control for accelerators at SLAC

TUPS72
21 May 2024, 16:00
2h
Blues (MCC Exhibit Hall A)

Blues

MCC Exhibit Hall A

Poster Presentation MC6.D13 Machine Learning Tuesday Poster Session

Speaker

Auralee Edelen (SLAC National Accelerator Laboratory)

Description

Advances in high-performance computing have enabled detailed physics simulations, including those with nonlinear collective effects such as space charge, to be deployed online in a control room setting to aid operator intuition and be used directly in automatic tuning. Simultaneously, machine learning (ML) has enabled deployment of detailed models online with sub-second execution time, opened up new avenues for adapting simulation models to more closely match real accelerator behavior, and enabled novel ways to combine detailed physics simulations and ML-based tuning. This contribution will provide an overview of how these tools are being developed and successfully applied at SLAC, with an emphasis on experimental demonstrations. This includes improvements in adaptive calibration methods, novel approaches to simulation (e.g. differentiable physics combined with ML), and the use of system models in ML-based tuning (e.g. Bayesian optimization with system model priors, iterative simulation and ML tuning to aid LCLS-II injector commissioning). Discussion of the software infrastructure required to achieve this and deploy these solutions into regular operation will also be discussed.

Region represented North America
Paper preparation format LaTeX

Primary author

Auralee Edelen (SLAC National Accelerator Laboratory)

Co-authors

Christopher Mayes (SLAC National Accelerator Laboratory) Claudio Emma (SLAC National Accelerator Laboratory) Kathryn Baker (Science and Technology Facilities Council) Ryan Roussel (SLAC National Accelerator Laboratory) Tobias Boltz (Karlsruhe Institute of Technology) Juan Pablo Gonzalez-Aguilera (University of Chicago) Colwyn Gulliford (Xelera Research LLC) Mateusz Leputa (Science and Technology Facilities Council) Young-Kee Kim (University of Chicago) Yuantao Ding (SLAC National Accelerator Laboratory) Michael Ehrlichman (Lawrence Berkeley National Laboratory) Brendan O'Shea (SLAC National Accelerator Laboratory) Jenny Morgan (SLAC National Accelerator Laboratory) Dorian Bohler (SLAC National Accelerator Laboratory) William Colocho (SLAC National Accelerator Laboratory) Finn O'Shea (SLAC National Accelerator Laboratory) Tobias Boltz (SLAC National Accelerator Laboratory) Spencer Gessner (SLAC National Accelerator Laboratory) Sanjeev Chauhan (SLAC National Accelerator Laboratory) Zihan Zhu (SLAC National Accelerator Laboratory) Yekta Yazar (SLAC National Accelerator Laboratory) Jesse Bellister (SLAC National Accelerator Laboratory) Daniel Ratner (SLAC National Accelerator Laboratory)

Presentation materials

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