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Author: E. Fol


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Reference
E. Fol et al., “Experimental Demonstration of Machine Learning Application in LHC Optics Commissioning”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 359-362.
F. F. Van der Veken et al., “Determination of the Phase-Space Stability Border with Machine Learning Techniques”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 183-186.
E. Fol, C. T. Rogers, and D. Schulte, “Machine Learning-Based Modeling of Muon Beam Ionization Cooling”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 2354-2357.
E. Fol, C. T. Rogers, J. Schieck, D. Schulte, and B. Stechauner, “Automated Design and Optimization of the Final Cooling for a Muon Collider”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 2358-2361.
T. H. B. Persson et al., “Optics Correction Strategy for Run 3 of the LHC”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 1687-1690.
B. Stechauner, C. Rogers, D. Schulte, E. Fol, J. Schieck, and J. Ferreira Somoza, “Thermodynamic characteristics of hydrogen in an ionization cooling channel for muon colliders”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL163, pp. 917-920.
B. Stechauner, E. Fol, A. Latina, C. Rogers, D. Schulte, and J. Schieck, “Comparison of tracking codes for beam-matter interaction”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL165, pp. 921-924.
F. Carlier et al., “LHC Run 3 optics corrections”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL015, pp. 535-538.
F. Carlier et al., “Challenges of K-modulation measurements in the LHC Run 3”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL014, pp. 531-534.


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