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[n] M. Szczepanik, M. Piekarski, and M. Fa, “AI and ML integration for beamline optimization and virtual assistance at the SOLARIS synchrotron”, presented at the ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD089, unpublished.
[n] M. Gonzalez Berges, J. Martinez Samblas, and J. Storey, “Using machine learning techniques for BGI-based profile measurements at the CERN PS”, in Proc. IPAC'25, Taipei, Taiwan, Jun. 2025, pp. 2707-2710. doi:10.18429/JACoW-IPAC2025-THPM010
[n] D. A. Amerkanov, E. M. Ivanov, G. A. Riabov, and V. A. Tonkikh, “Calculation and Optimization of High-Energy Beam Transfer Lines by the Monte Carlo Method”, in Proc. RuPAC2021, Alushta, Crimea, Sep.-Oct. 2021, pp. 262-264. doi:10.18429/JACoW-RuPAC2021-TUPSB16
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References
- M. Szczepanik, M. Piekarski, and M. Fa, “AI and ML integration for beamline optimization and virtual assistance at the SOLARIS synchrotron”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD089, unpublished.
- M. Gonzalez Berges, J. Martinez Samblas, and J. Storey, “Using machine learning techniques for BGI-based profile measurements at the CERN PS”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM010, pp. 2707-2710.
- D. A. Amerkanov, E. M. Ivanov, G. A. Riabov, and V. A. Tonkikh, “Calculation and Optimization of High-Energy Beam Transfer Lines by the Monte Carlo Method”, in Proc. 27th Russian Particle Accelerator Conference (RuPAC2021), Alushta, Crimea, Sep.-Oct. 2021, pp. 262-264.
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