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Author: G. Ricci


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Reference
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.
M. D'Andrea et al., “Crystal collimation performance at the LHC with a 6.8 TeV proton beam”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL023, pp. 563-566.
D. Mirarchi et al., “Operational handling of Crystal collimation at the LHC”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL022, pp. 559-562.
R. Cai et al., “LHC crystal collimation tests with 6.8 Z TeV Pb beams”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPM120, pp. 2503-2506.
G. Ricci et al., “Real time monitoring of the crystal collimation system at the CERN Large Hadron Collider”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS42, this conference.


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