Favourites
For Word
[n] F. Lin, J. Guo, V. S. Morozov, and Y. Zhang, “ERL-Based Compact X-Ray FEL”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 37-40. doi:10.18429/JACoW-NAPAC2022-MOZD5
[n] Y. A. Yucesan, “Machine Learning for Improved Accelerator Health and Reliability”, presented at the NAPAC'22, Albuquerque, NM, USA, Aug. 2022, paper THXD1, unpublished.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] 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for LLRF System of Superconducting Cavities”, presented at the NAPAC'22, Albuquerque, NM, USA, Aug. 2022, paper THXD5, unpublished.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] K. E. Deitrick and G. H. Hoffstaetter, “Accelerator Physics Lessons from CBETA, the First Multi-Turn SRF ERL”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 41-44. doi:10.18429/JACoW-NAPAC2022-MOZD6
[n] X. R. Resende and R. M. Dias, “Magnet Sorting Algorithm Applied to the LNLS EPU”, in Proc. EPAC'04, Lucerne, Switzerland, Jul. 2004, paper MOPKF004, pp. 303-305.
[n] S. S. Kurennoy, Y. K. Batygin, and E. R. Olivas, “Accelerating Structures for High-Gradient Proton Radiography Booster at LANSCE”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 894-896. doi:10.18429/JACoW-NAPAC2022-THZD4
[n] L. W. Oleksiuk, R. A. Andrews, E. J. Bleser, and C. H. Rode, “The NAL Beam Splitting System”, in Proc. PAC'73, San Francisco, CA, USA, Mar. 1973, pp. 428-434.
[n] D.-J. Wang, H. C. Ho, Z.-D. Tsai, and J. Wang, “Water Induced Vibration in the NSRRC”, in Proc. PAC'05, Knoxville, TN, USA, May 2005, paper RPPE008, pp. 1102-1104.
For LaTeX
Use Complete Form
For BibTeX
References
- F. Lin, J. Guo, V. S. Morozov, and Y. Zhang, “ERL-Based Compact X-Ray FEL”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 37-40.
- Y. A. Yucesan, “Machine Learning for Improved Accelerator Health and Reliability”, presented at the North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, paper THXD1, unpublished.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.
- 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.
- K. E. Deitrick and G. H. Hoffstaetter, “Accelerator Physics Lessons from CBETA, the First Multi-Turn SRF ERL”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 41-44.
- X. R. Resende and R. M. Dias, “Magnet Sorting Algorithm Applied to the LNLS EPU”, in Proc. 9th European Particle Accelerator Conf. (EPAC'04), Lucerne, Switzerland, Jul. 2004, paper MOPKF004, pp. 303-305.
- S. S. Kurennoy, Y. K. Batygin, and E. R. Olivas, “Accelerating Structures for High-Gradient Proton Radiography Booster at LANSCE”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 894-896.
- L. W. Oleksiuk, R. A. Andrews, E. J. Bleser, and C. H. Rode, “The NAL Beam Splitting System”, in Proc. 5th Particle Accelerator Conf. (PAC'73), San Francisco, CA, USA, Mar. 1973, pp. 428-434.
- D.-J. Wang, H. C. Ho, Z.-D. Tsai, and J. Wang, “Water Induced Vibration in the NSRRC”, in Proc. 21st Particle Accelerator Conf. (PAC'05), Knoxville, TN, USA, May 2005, paper RPPE008, pp. 1102-1104.
Back to search