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Author: R. Roussel


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Reference
R. Roussel, D. Kennedy, T. Boltz, K. Baker, C. Mayes, and A. Edelen, “Updates to Xopt for online accelerator optimization and control”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPG85, pp. 3469-3472.
R. Roussel et al., “Efficient 6-dimensional phase space reconstructions from experimental measurements using generative machine learning”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB065, unpublished.
R. Roussel, D. Kennedy, E. Wisniewski, A. Ody, and A. Edelen, “Autonomous beam alignment through quadrupole triplets using Bayesian Algorithm Execution”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 765-767.
R. Roussel, D. Kennedy, T. Boltz, K. Baker, C. Mayes, and A. Edelen, “Updates to Xopt for online accelerator optimization and control”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB067, unpublished.
J. P. Gonzalez-Aguilera, R. Roussel, A. Edelen, and Y.-K. Kim, “Measurement of CSR-affected beams using generative phase space reconstruction”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB098, unpublished.
R. Roussel et al., “Advancements in backwards differentiable beam dynamics simulations for accelerator design, model calibration, and machine learning”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 768-771.


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