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[n] J. A. Diaz Cruz and S. Biedron, “Machine Learning-Based Tuning of Control Parameters for LLRF System of Superconducting Cavities”, presented at the NAPAC'22, Albuquerque, NM, USA, Aug. 2022, paper THXD5, unpublished.
[n] A. Scheinker, “6D Phase Space Diagnostics Based on Adaptive Tuning of the Latent Space of Encoder-Decoder Convolutional Neural Networks”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 837-841. doi:10.18429/JACoW-NAPAC2022-THXD2
[n] K. C. Sato, N. Kamikubota, T. Kimura, S. Yamada, N. Yamamoto, and S. Y. Yoshida, “The Software-Based Machine Protection System Using EPICS in J-PARC MR”, in Proc. ICALEPCS'19, New York, NY, USA, Oct. 2019, pp. 1422. doi:10.18429/JACoW-ICALEPCS2019-WEPHA136
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References
- J. A. Diaz Cruz and S. Biedron, “Machine Learning-Based Tuning of Control Parameters for LLRF System of Superconducting Cavities”, presented at the North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, paper THXD5, unpublished.
- A. Scheinker, “6D Phase Space Diagnostics Based on Adaptive Tuning of the Latent Space of Encoder-Decoder Convolutional Neural Networks”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 837-841.
- K. C. Sato, N. Kamikubota, T. Kimura, S. Yamada, N. Yamamoto, and S. Y. Yoshida, “The Software-Based Machine Protection System Using EPICS in J-PARC MR”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 1422.
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