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20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25)

20th Int. Conf. on Accelerator and Large Experimental Physics Control Systems
Chicago, IL, USA, Sep. 2025

Published Dec 2025
ISBN 978-3-95-450255-4
ISSN 2226-0358

References

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	Reference
	D. Zebele, M. Montis, L. Bellan, and Y. K. Ong, “Reinforcement learning approaches for parameter tuning in particle accelerators”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD081, unpublished.
	F. Mayet, A. Sulc, C. Tennant, and T. Hellert, “Toward particle accelerator machine state embeddings as a modality for large language models”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD082, pp. 1233-1239.
	C. Allen, C. McChesney, M. Davidsaver, M. Frauenheim, and L. Dalesio, “Overview and status of the Machine Learning Data Platform project”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD083, pp. 1239-1245.
	J. Edelen, A. Edelen, C. Hall, F. O'Shea, and J. Einstein-Curtis, “Integrated denoising for improved stabilization of RF cavities”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD084, unpublished.
	M. Henderson and J. Edelen, “Reinforcement learning for automation of accelerator tuning”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD085, unpublished.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on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD086, unpublished.
	Z. Zhu and A. Edelen, “Machine learning–based longitudinal phase space control for X-ray free-electron laser”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD087, unpublished.
	M. Piekarski, J. Biernat, M. Mleczko, M. Floras, and M. Wrobel, “Exploring AI-based models in accelerators: a case study of the SOLARIS synchrotron”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD088, unpublished.
	M. Szczepanik, M. Piekarski, and M. Fa, “AI and ML integration for beamline optimization and virtual assistance at the SOLARIS synchrotron”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD089, unpublished.
	J. Mahl et al., “BOLT: beamline operations and learning testbed for EPICS and Bluesky integration”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD092, unpublished.

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