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Author: R. Roussel


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Reference
T. Miceli et al., “Twinac: initiation of a community-driven accelerator digital twin framework”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 72-80.
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.
S. Kim, R. Roussel, J. P. Gonzalez-Aguilera, G. Kim, A. Edelen, and H. Yang, “Optimization of the transfer line against collective effects using physics-constrained generative phase space reconstruction”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 99-106.
L. Hajdu et al., “Image processing with ML for automated tuning of the NASA Space Radiation Laboratory beam line”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 1008-1012.
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.
L. Hajdu et al., “Image processing with ML for automated tuning of the NASA Space Radiation Laboratory beam line”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD070, unpublished.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”, 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on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD086, unpublished.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.


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