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Author: A. Santamaría García


References



Reference
B. Kuske, M. Arlandoo, M. Ries, A. Schaelicke, and A. Santamaria Garcia, “Comparison of Bayesian optimization and the reduction of resonance driving terms in the optimization of the dynamic aperture of the BESSY III MBA lattice”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS14, pp. 729-732.
C. Widmann, A. Santamaria Garcia, A.-S. Mueller, C. Xu, E. Bruendermann, and J. Gethmann, “ROCK-IT – a demonstrator for automation and remote-access to synchrotron beamlines”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS86, unpublished.
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, paper TUPS60, pp. 1804-1807.
L. Scomparin et al., “Preliminary results on the reinforcement learning-based control of the microbunching instability”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS61, pp. 1808-1811.
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.
F. Donoso et al., “Longitudinal phase space density tomography constrained by the Vlasov-Fokker-Planck equation”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPG55, pp. 2350-2353.
R. Roussel et al., “Advancements in backwards differentiable beam dynamics simulations for accelerator design, model calibration, and machine learning”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 768-771.


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