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Author: R. Tomás


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Reference
E. Fol, J. M. Coello de Portugal, and R. Tom?ís, “Application of Machine Learning to Beam Diagnostics”, in Proc. 7th Int. Beam Instrumentation Conf. (IBIC'18), Shanghai, China, Sep. 2018, pp. 169-176.
E. Fol, J. M. Coello de Portugal, and R. Tom?ís, “Unsupervised Machine Learning for Detection of Faulty Beam Position Monitors”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 2668-2671.
E. Fol, J. M. Coello de Portugal, and R. Tom?ís, “Unsupervised Machine Learning for Detection of Faulty Beam Position Monitors”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 2668-2671.
E. Fol, J. M. Coello de Portugal, G. Franchetti, and R. Tom?ís, “Application of Machine Learning to Beam Diagnostics”, in Proc. 39th Int. Free Electron Laser Conf. (FEL'19), Hamburg, Germany, Aug. 2019, pp. 311-317.
E. Fol, J. M. Coello de Portugal, G. Franchetti, and R. Tom?ís, “Optics Corrections Using Machine Learning in the LHC”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 3990-3993.
E. Manosperti, L. Deniau, A. Pastushenko, and R. Tomas, “MAD-NG for final focus design”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL112, pp. 818-821.
E. Manosperti, R. Tomas, and A. Pastushenko, “Design of CLIC beam delivery system at 7 TeV”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL113, pp. 822-825.
E. Marin et al., “Scenarios for the ATF2 Ultra-Low Betas Proposal”, in Proc. 1st Int. Particle Accelerator Conf. (IPAC'10), Kyoto, Japan, May 2010, paper THPE020, pp. 4554-4556.
E. Todesco et al., “The Magnetic Model of the LHC in the Early Phase of Beam Commissioning”, in Proc. 1st Int. Particle Accelerator Conf. (IPAC'10), Kyoto, Japan, May 2010, paper MOOCRA01, pp. 55-57.
F. Carlier et al., “Challenges of K-modulation measurements in the LHC Run 3”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL014, pp. 531-534.


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