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Author: A. Edelen


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Reference
A. Edelen et al., “Progress on combining digital twins and machine learning based control for accelerators at SLAC”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS72, this conference.
Y. Gao et al., “Optimization of AGS bunch merging with reinforcement learning”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS53, this conference.
J. P. Gonzalez-Aguilera, R. Roussel, A. Edelen, and Y.-K. Kim, “Detailed characterization of coherent synchrotron radiation effects using generative phase space reconstruction”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPG94, this conference.
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 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPG85, this conference.
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, this conference.


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