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[n]	M. D et al., “Prospects to Apply Machine Learning to Optimize the Operation of the Crystal Collimation System at the LHC”, in Proc. IPAC'22, Bangkok, Thailand, Jun. 2022, pp. 1362-1365. doi:10.18429/JACoW-IPAC2022-TUPOTK061

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Paper Title: Prospects to Apply Machine Learning to Optimize the Operation of the Crystal Collimation System at the LHC
Paper URL: https://jacow.org/IPAC2022/papers/TUPOTK061.pdf
Conference: 13th Int. Particle Accelerator Conf. (IPAC'22)
Paper ID: TUPOTK061
Location in proceedings: 1362-1365
Original Author String: M. D’Andrea,G. Azzopardi,M. Di Castro,E. Matheson,D. Mirarchi,S. Redaelli,G. Ricci,G. Valentino

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