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Author: M. Kilpatrick


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Reference
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. Kilpatrick et al., “Interactive automated Bragg peak identification with 3D neutron scattering data”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPM117, pp. 5138-5141.
M. Kilpatrick, B. Nash, B. O'Shea, J. Einstein-Curtis, P. Moeller, and R. Watt, “Beam condition diagnostics and forecasting with non-destructive measurements at FACET-II”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS78, unpublished.
M. Kilpatrick et al., “3D visualization and analysis of neutron scattering data in the control room”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPG84, pp. 3465-3468.
J. Einstein-Curtis et al., “LLRF and pulse-to-pulse correction for a compact linac”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 270-272.


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