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Author: M. Schenk


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Reference
V. Kain et al., “Slow extracted spill ripple control in the CERN SPS using adaptive Bayesian optimisation”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS55, pp. 1790-1793.
A. Santamaria Garcia et al., “The reinforcement learning for autonomous accelerators collaboration”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS62, pp. 1812-1815.
T. Prebibaj et al., “Performance improvement studies of the fixed target beams along the CERN injector chain”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPC14, pp. 2995-2998.
K. Li et al., “Operational deployment of high brightness LHC beams in the SPS”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, pp. 778-781.
G. Papotti et al., “Achievement of LIU longitudinal parameters at the CERN SPS”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, pp. 1475-1478.
A. Lu, V. Di Capua, V. Kain, C. Petrone, M. Schenk, and M. Taupadel, “Data-driven hysteresis compensation in the CERN SPS main magnets”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEAN2, pp. 1674-1677.
B. Rodriguez Mateos, T. Argyropoulos, F. Carlier, V. Kain, M. Schenk, and M. Slupecki, “Operational results of data-driven automated intensity optimization at CERN’s LEIR”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM109, pp. 2913-2916.
A. Menor De Onate, N. Bruchon, V. Kain, B. Rodriguez Mateos, and M. Schenk, “Trajectory steering for DC beams at the CERN SPS using reinforcement learning based on intensity measurements”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM113, pp. 2928-2930.
L. Foldesi et al., “Model-based optimisation for automated multi-turn extraction tuning at the CERN Proton Synchrotron”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM009, pp. 2703-2706.
A. Gilardi et al., “Toward autonomous control: reinforcement learning for improving CLEAR accelerator performance”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM032, pp. 2751-2754.


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