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Author: S. Hirlaender


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Reference
Y. Dutheil et al., “Gamma Factory at CERN: Design of a Proof-of-Principle Experiment”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 685-688.
M. Schaumann et al., “First Partially Stripped Ions in the LHC (208Pb????)”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 689-692.
S. Hirlaender et al., “Energy Dependence of the Reproducibility and Injection Efficiency of the LINAC3-LEIR Complex”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 3188-3191.
?ü. Sa?í Hern?índez, H. Bartosik, N. Biancacci, S. Hirlaender, D. Moreno Garcia, and M. Zampetakis, “Detailed Characterisation of the LEIR Intensity Limitations for a Pb Ion Beam”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 3196-3199.
S. Hirlaender et al., “Automatisation of the SPS ElectroStatic Septa Alignment”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 4001-4004.
A. Oeftiger, A. Santamaria Garcia, J.-B. Lagrange, and S. Hirlaender, “Active deep learning for nonlinear optics design of a vertical FFA accelerator”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA026, pp. 2709-2712.
S. Hirlaender, L. Lamminger, G. Zevi Della Porta, and V. Kain, “Ultra fast reinforcement learning demonstrated at CERN AWAKE”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL038, pp. 4510-4513.
S. Appel, S. Hirlaender, and N. Madysa, “Data-driven model predictive control for automated optimization of injection into the SIS18 synchrotron”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, pp. 1800-1803.
S. Hirlaender et al., “Towards few-shot reinforcement learning in particle accelerator control”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, pp. 1804-1807.
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, pp. 1812-1815.


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