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Author: J. Edelen


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Reference
S. Coleman et al., “Longitudinal bunch shaping and optimization of the FAST injector”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA023, pp. 1393-1395.
A. Murokh, C. Hall, J. Edelen, K. Wolfinger, M. Kravchenko, and M. Ruelas, “Surrogate Model Development for a Photoinjector”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA024, unpublished.
M. Kilpatrick, J. Edelen, J. Einstein-Curtis, R. O'Rourke, K. Drees, and M. Valette, “Prediction of superconducting magnet quenches with machine learning”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA104, pp. 2889-2891.
M. Henderson, C. Hall, J. Edelen, M. Keilman, N. Cook, and O. Chubar, “Integrating hysteresis models into the Radia software”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPM045, pp. 3664-3666.
I. Lobach, A. Sannibale, J. Edelen, and M. Borland, “Long short-term memory networks for anomaly detection in storage ring power supplies”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL005, pp. 4424-4427.
I. Lobach, J. Edelen, K. Wolfinger, and M. Borland, “LSTMs for anomaly detection in the magnet power supply temperatures of APS-U”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS51, this conference.


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