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Author: J. Edelen


References



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 (IPAC'23), Venice, Italy, May 2023, paper TUPA024, unpublished.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 (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS51, unpublished.


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