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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”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper MOPS079, this conference.
G. Papotti et al., “Achievement of LIU longitudinal parameters at the CERN SPS”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper TUPS028, this conference.
A. Lu, V. Di Capua, V. Kain, C. Petrone, M. Schenk, and M. Taupadel, “Data-driven hysteresis compensation in the CERN SPS main magnets”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEAN2, this conference.
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”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM109, this conference.
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”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM113, this conference.
L. Foldesi et al., “Model-based optimisation for automated multi-turn extraction tuning at the CERN Proton Synchrotron”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM009, this conference.
A. Gilardi et al., “Toward autonomous control: reinforcement learning for improving CLEAR accelerator performance”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM032, this conference.


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