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Author: T. Boltz


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Reference
P. Schreiber et al., “Effect of Negative Momentum Compaction Operation on the Current-Dependent Bunch Length”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2786-2789.
T. Boltz et al., “Excitation of Micro-Bunching in Short Electron Bunches Using RF Amplitude Modulation”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 3173-3176.
L. Scomparin et al., “KINGFISHER: A Framework for Fast Machine Learning Inference for Autonomous Accelerator Systems”, in Proc. 11th Int. Beam Instrumentation Conference (IBIC'22), Kraków, Poland, Sep. 2022, pp. 151-155.
A. Edelen et al., “Progress on combining digital twins and machine learning-based control for accelerators at SLAC”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS72, pp. 1846-1849.
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, 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 (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB067, unpublished.


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