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Author: M. Giovannozzi


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Reference
C. E. Montanari et al., “Advances in machine learning inference of dynamic aperture evaluation for the LHC”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPM062, pp. 2109-2112.
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.
E. Maclean et al., “Review of linear and nonlinear optics measurements in the CERN LHC”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper FRYD2, pp. 3250-3255.
O. Naumenko, M. Giovannozzi, W. Hillert, and A. Huschauer, “Optimising multi-turn extraction at CERN using transverse feedback”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPM046, pp. 2077-2080.
F. Capoani, A. Bazzani, and M. Giovannozzi, “Recent Progress on Nonlinear Beam Manipulations in Circular Accelerators”, in Proc. 64th Advanced Beam Dynamics Workshop on High-Intensity and High-Brightness Hadron Beams (HB'21), Batavia, IL, USA, Oct. 2021, paper MOP08, pp. 52-58.
P. D. Hermes et al., “HL-LHC Beam Dynamics with Hollow Electron Lenses”, in Proc. 64th Advanced Beam Dynamics Workshop on High-Intensity and High-Brightness Hadron Beams (HB'21), Batavia, IL, USA, Oct. 2021, paper MOP09, pp. 59-64.


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