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Author: A. Edelen


References



Reference
R. Roussel et al., “Efficient 6-dimensional phase space reconstructions from experimental measurements using generative machine learning”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS73, unpublished.
Y. Gao et al., “Optimization of AGS bunch merging with reinforcement learning”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS53, pp. 1782-1785.
J. P. Gonzalez-Aguilera, R. Roussel, A. Edelen, and Y.-K. Kim, “Detailed characterization of coherent synchrotron radiation effects using generative phase space reconstruction”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPG94, pp. 2442-2445.
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.
Z. Zhu and A. Edelen, “Machine learning for the LCLS-II injector online modeling and optimization”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPG86, unpublished.
F. O'Shea, A. Edelen, J. Edelen, J. Diaz Cruz, and M. Henderson, “Automation of RF tuning for medical accelerators”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 47-49.
F. O'Shea, A. Edelen, J. Edelen, J. Diaz Cruz, and M. Henderson, “Automation of RF tuning for medical accelerators”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper MOPB100, unpublished.
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 (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB065, unpublished.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.


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