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Author: G. Valentino


References



Reference
G. Azzopardi, S. Redaelli, B. Salvachua, A. Muscat, and G. Valentino, “Automatic Beam Loss Threshold Selection for LHC Collimator Alignment”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 207.
B. Salvachua et al., “An Off-Momentum Beam Loss Feedback Controller and Graphical User Interface for the LHC”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 359.
G. Valentino, G. De Cataldo, M. Hostettler, A. Franco, and O. B. Visnyei, “Performance of the ALICE Luminosity Leveling Software Architecture in the Pb-Pb Physics Run”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 166.
L. Grech, D. Alves, S. Jackson, J. Wenninger, and G. Valentino, “Feasibility of Hardware Acceleration in the LHC Orbit Feedback Controller”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 585.
G. Azzopardi, A. Muscat, S. Redaelli, B. Salvachua, and G. Valentino, “Operational Results of LHC Collimator Alignment Using Machine Learning”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 1208-1211.
G. Azzopardi, A. Muscat, S. Redaelli, B. Salvachua, and G. Valentino, “Operational Results of LHC Collimator Alignment Using Machine Learning”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 1208-1211.
F. F. Van der Veken, M. Giovannozzi, E. H. Maclean, C. E. Montanari, and G. Valentino, “Using Machine Learning to Improve Dynamic Aperture Estimates”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 134-137.
M. D et al., “Prospects to Apply Machine Learning to Optimize the Operation of the Crystal Collimation System at the LHC”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 1362-1365.


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