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[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Improved Accelerator Health and Reliability”, presented at the NAPAC'22, Albuquerque, NM, USA, Aug. 2022, paper THXD1, unpublished.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for LLRF System of Superconducting Cavities”, presented at the NAPAC'22, Albuquerque, NM, USA, Aug. 2022, paper THXD5, unpublished. 

For LaTeX

%\cite{Lin:NAPAC22-MOZD5} \bibitem{Lin:NAPAC22-MOZD5} F. Lin, J. Guo, V. S. Morozov, and Y. Zhang, \textquotedblleft{ERL-Based Compact X-Ray FEL}\textquotedblright, in \emph{Proc. NAPAC’22}, Albuquerque, NM, USA, Aug. 2022, pp. 37--40. \doi{10.18429/JACoW-NAPAC2022-MOZD5} %\cite{Yucesan:NAPAC22-THXD1} \bibitem{Yucesan:NAPAC22-THXD1} Y. A. Yucesan, \textquotedblleft{Machine Learning for Improved Accelerator Health and Reliability}\textquotedblright, presented at the NAPAC’22, Albuquerque, NM, USA, Aug. 2022, paper THXD1, unpublished. %\cite{Scheinker:NAPAC22-THXD2} \bibitem{Scheinker:NAPAC22-THXD2} A. Scheinker, \textquotedblleft{6D Phase Space Diagnostics Based on Adaptive Tuning of the Latent Space of Encoder-Decoder Convolutional Neural Networks}\textquotedblright, in \emph{Proc. NAPAC’22}, Albuquerque, NM, USA, Aug. 2022, pp. 837--841. \doi{10.18429/JACoW-NAPAC2022-THXD2} %\cite{Diaz Cruz:NAPAC22-THXD5} \bibitem{Diaz Cruz:NAPAC22-THXD5} J. A. Diaz Cruz and S. Biedron, \textquotedblleft{Machine Learning-Based Tuning of Control Parameters for LLRF System of Superconducting Cavities}\textquotedblright, presented at the NAPAC’22, Albuquerque, NM, USA, Aug. 2022, paper THXD5, unpublished.

For BibTeX

@inproceedings{lin:napac22-mozd5, author = {F. Lin and J. Guo and V. S. Morozov and Y. Zhang}, title = {{ERL-Based Compact X-Ray FEL}}, booktitle = {Proc. NAPAC'22}, pages = {37--40}, paper = {MOZD5}, venue = {Albuquerque, NM, USA}, series = {North American Particle Accelerator Conference}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {11}, year = {2022}, issn = {2673-7000}, isbn = {978-3-95-450232-5}, doi = {10.18429/JACoW-NAPAC2022-MOZD5}, url = {https://jacow.org/napac2022/papers/MOZD5.pdf}, language = {english} } @unpublished{yucesan:napac22-thxd1, author = {Y. A. Yucesan}, title = {{Machine Learning for Improved Accelerator Health and Reliability}}, booktitle = {Proc. NAPAC'22}, pages = {}, paper = {THXD1}, venue = {Albuquerque, NM, USA}, intype = {presented at the}, series = {North American Particle Accelerator Conference}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {11}, year = {2022}, issn = {2673-7000}, isbn = {978-3-95-450232-5}, note = {presented at NAPAC'22, Albuquerque, NM, USA, Aug. 2022, paper THXD1, unpublished}, language = {english} } @inproceedings{scheinker:napac22-thxd2, author = {A. Scheinker}, title = {{6D Phase Space Diagnostics Based on Adaptive Tuning of the Latent Space of Encoder-Decoder Convolutional Neural Networks}}, booktitle = {Proc. NAPAC'22}, pages = {837--841}, paper = {THXD2}, venue = {Albuquerque, NM, USA}, series = {North American Particle Accelerator Conference}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {11}, year = {2022}, issn = {2673-7000}, isbn = {978-3-95-450232-5}, doi = {10.18429/JACoW-NAPAC2022-THXD2}, url = {https://jacow.org/napac2022/papers/THXD2.pdf}, language = {english} } @unpublished{diaz cruz:napac22-thxd5, author = {J. A. Diaz Cruz and S. Biedron}, title = {{Machine Learning-Based Tuning of Control Parameters for LLRF System of Superconducting Cavities}}, booktitle = {Proc. NAPAC'22}, pages = {}, paper = {THXD5}, venue = {Albuquerque, NM, USA}, intype = {presented at the}, series = {North American Particle Accelerator Conference}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {11}, year = {2022}, issn = {2673-7000}, isbn = {978-3-95-450232-5}, note = {presented at NAPAC'22, Albuquerque, NM, USA, Aug. 2022, paper THXD5, unpublished}, language = {english} }

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.