- Prepare abstract(s) for IPAC papers [due:: 2024-10-25] [priority:: medium] [completion:: 2024-11-21]
- Decide on titles for IPAC paper(s) [due:: 2024-10-25] [priority:: medium] [completion:: 2024-11-12]
- Apply for Student Grant [due:: 2024-12-01] [priority:: high] [completion:: 2024-12-11]
- Submit Light-Peer-review paper [start:: 2025-03-12] [due:: 2025-04-07] [completion:: 2025-03-24]
- Write IPAC paper [due:: 2025-04-15] [priority:: high] [completion:: 2025-05-19]
Student grant
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https://ipac25.org/regStudentGrants.asp
Title: Data-driven hysteresis compensation in the SPS main magnets
Abstract: Magnetic hysteresis and eddy current decay pose challenges to beam quality and operational consistency in multi-cycling machines such as the Super Proton Synchrotron (SPS) at CERN. This paper introduces a data-driven approach to improving the reproducibility of dipole and quadrupole fields, ensuring stable beam parameters and optimizing beam quality across all operational cycles, regardless of sequence and preceeding cycles. By predicting the magnetic cycle from historical magnetic field data and applying feed-forward correction, we eliminate the need for manual machine setting adjustments. The result is a significant improvement in the reproducibility of physics operations, streamlining processes while also reducing energy consumption by removing the necessity for time- and energy-consuming pre-cycles. This proof of concept demonstrates that field compensation, particularly for quadrupoles, can be achieved without feedback measurements. Our method promises further extensions to higher-order magnets like sextupoles and octupoles, and to additional synchrotrons at CERN, offering a transformative improvement to particle accelerator efficiency and performance.
Magnetic hysteresis and eddy current decay continue to challenge beam quality and operational consistency in multi-cycling machines like the Super Proton Synchrotron (SPS) at CERN. Building on our previous work, this paper presents improvements in the data-driven approach to enhancing the reproducibility of dipole and quadrupole fields, optimizing beam quality, and maintaining stable beam parameters across all operational cycles. The method, based on feed-forward correction using measured magnetic field data, now includes additional operational experience and demonstrates that the compensation can be reliably used in operations. By eliminating the need for manual machine adjustments and reducing time- and energy-consuming pre-cycles, we achieve significant improvements in physics operations. This contribution proves that quadrupole field compensation can be achieved without feedback measurements, and it sets the stage for future applications in higher-order magnets, like sextupoles and octupoles, as well as other CERN synchrotrons, offering transformative operational and energy efficiencies.