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Author: G. Valentino


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Reference
A. Vella, D. Mirarchi, S. Redaelli, and G. Valentino, “Operational deployment of automatic angular alignment for LHC collimators”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, pp. 675-678.
V. Kain et al., “Test of Machine Learning at the CERN LINAC4”, in Proc. 64th Advanced Beam Dynamics Workshop on High-Intensity and High-Brightness Hadron Beams (HB'21), Batavia, IL, USA, Oct. 2021, paper TUEC4, pp. 181-185.
A. Vella, D. Mirarchi, S. Redaelli, and G. Valentino, “Crystal Channelling Optimisation in the LHC Using Reinforcement Learning”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP1115, this conference.
M. Aquilina et al., “Optimisation Techniques for Integrated Luminosity with and without $\beta^\ast$ Levelling for a circular collider with examples from the CERN LHC”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP1060, this conference.
M. Aquilina et al., “Optimisation Techniques for Integrated Luminosity with and without $\beta^\ast$ Levelling for a circular collider with examples from the CERN LHC”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper SUP1015, this conference.
A. Vella, D. Mirarchi, S. Redaelli, and G. Valentino, “Crystal Channelling Optimisation in the LHC Using Reinforcement Learning”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper SUP1014, this conference.


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