17–22 May 2026
C.I.D
Europe/Zurich timezone

Towards hysteresis-aware tune knobs at APS-U with data-driven modeling

MOP6305
18 May 2026, 16:00
2h
C.I.D

C.I.D

Deauville, France
Poster Presentation MC6.D13: Instrumentation: Artificial Intelligence Poster session

Speaker

Osama Mohsen (Argonne National Laboratory)

Description

Precise and reproducible tune control is essential for efficient storage-ring tuning and reliable accelerator operation. In practice, tune knobs constructed from groups of quadrupole magnets are influenced by magnetic hysteresis, rendering the tune response path-dependent and leading to discrepancies between target and achieved tunes that may not be reproducible across different days. In this work, we investigate data-driven modeling of quadrupole hysteresis and assess its integration into a predictive, hysteresis-aware tune-knob controller. Initial studies at the Advanced Photon Source Upgrade (APS-U) include direct measurements of hysteresis-induced tune loops and demonstrate the feasibility of compensating these effects. These results establish the basis for an operational hysteresis-aware tune-control system for the APS-U and provide a generalizable methodology applicable to other accelerator facilities.

Funding Agency

The work is supported by the U.S. DOE Office of Science-Basic Energy Sciences, under Contract No. DE-AC02-06CH11357.

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Author

Chenran Xu (Argonne National Laboratory)

Co-authors

Michael Borland (Argonne National Laboratory) Louis Emery (Argonne National Laboratory) Osama Mohsen (Argonne National Laboratory) Ryan Roussel (SLAC National Accelerator Laboratory) Yine Sun (Argonne National Laboratory)

Presentation materials

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