|
R. Roussel et al., “Efficient tuning of particle accelerator emittance via Bayesian algorithm execution and virtual objectives”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOOD3, unpublished. |
|
D. Storey et al., “Status and first results from FACET-II towards the demonstration of plasma wakefield acceleration, coherent radiation generation, and probing strong-field QED”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA104, pp. 1549-1552. |
|
F. Ji et al., “Two-stage constrained Bayesian optimization for particle accelerator tuning”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 268-272. |
|
A. Edelen et al., “Experience with online modeling and adaptive digital twin infrastructure to aid accelerator control”, presented at the 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, paper TUCN01, unpublished. |
|
A. Edelen et al., “Experience integrating online modeling, adaptive digital twin infrastructure, and ML-based tuning for accelerator control at SLAC”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper MOCG001, pp. 80-87. |
|
G. Bhardwaj et al., “Accelerator digital twin development through simulation modeling and MLOps using the LUME ecosystem at SLAC”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 1017-1020. |
|
R. Roussel, D. Kennedy, A. Edelen, N. Kuklev, S. Miskovich, and Z. Zhang, “Xopt and Badger: a machine learning ecosystem for real-time accelerator control and optimization”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD086, unpublished. |
|
G. Bhardwaj et al., “Accelerator digital twin development through simulation modeling and MLOps using the LUME ecosystem at SLAC”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD103, unpublished. |
|
R. Roussel, D. Kennedy, A. Edelen, N. Kuklev, S. Miskovich, and Z. Zhang, “Xopt and Badger: a machine learning ecosystem for real-time accelerator control and optimization”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WESV001, pp. 1271-1275. |
|
Z. Lentz, M. Rakitin, R. Tang-Kong, S. Miskovich, and T. Morris, “ML-assisted beamline optimization at LCLS”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 1873-1878. |
