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[n]	S. Kuroguchi et al., “Harnessing machine learning for the optimal design of ILC e-driven positron source”, in Proc. IPAC'24, Nashville, TN, USA, May 2024, pp. 886-888. doi:10.18429/JACoW-IPAC2024-MOPS69

[n]	A. Scheinker, “Adaptive Control and Machine Learning for Particle Accelerator Beam Control and Diagnostics”, in Proc. IBIC'21, Pohang, Korea, Sep. 2021, pp. 466-472. doi:10.18429/JACoW-IBIC2021-THOB03

[n]	Y. Liang et al., “Multi-bunch operation mode for simultaneously serving SASE and seeding FEL beamlines”, presented at the IPAC'23, Venice, Italy, May 2023, paper TUPL047, unpublished. 

[n]	V. Derenchuk, R. Brown, P. Schwandt, M. Wedekind, J. Hicks, and D. Friesel, “The IUCF High Intensity Polarized Ion Source Project”, in Proc. PAC'93, Washington D.C., USA, Mar. 1993, pp. 3184-3187. 

[n]	J-M. Lagniel, “Linac Architecture for High Power Proton Sources”, in Proc. LINAC'00, Monterey, CA, USA, Aug. 2000, paper FR103, pp. 1028-1032. 

[n]	I. Lobach, M. Borland, K. C. Harkay, N. Kuklev, A. Sannibale, and Y. Sun, “Machine Learning for Anomaly Detection and Classification in Particle Accelerators”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 311-314. doi:10.18429/JACoW-NAPAC2022-TUYE4

For LaTeX

%\cite{Kuroguchi:IPAC24-MOPS69} \bibitem{Kuroguchi:IPAC24-MOPS69} S. Kuroguchi \emph{et al.}, \textquotedblleft{Harnessing machine learning for the optimal design of ILC e-driven positron source}\textquotedblright, in \emph{Proc. IPAC’24}, Nashville, TN, USA, May 2024, pp. 886--888. \url{doi:10.18429/JACoW-IPAC2024-MOPS69} %\cite{Scheinker:IBIC21-THOB03} \bibitem{Scheinker:IBIC21-THOB03} A. Scheinker, \textquotedblleft{Adaptive Control and Machine Learning for Particle Accelerator Beam Control and Diagnostics}\textquotedblright, in \emph{Proc. IBIC’21}, Pohang, Korea, Sep. 2021, pp. 466--472. \url{doi:10.18429/JACoW-IBIC2021-THOB03} %\cite{Liang:IPAC23-TUPL047} \bibitem{Liang:IPAC23-TUPL047} Y. Liang \emph{et al.}, \textquotedblleft{Multi-bunch operation mode for simultaneously serving SASE and seeding FEL beamlines}\textquotedblright, presented at the IPAC’23, Venice, Italy, May 2023, paper TUPL047, unpublished. %\cite{Derenchuk:PAC93} \bibitem{Derenchuk:PAC93} V. Derenchuk, R. Brown, P. Schwandt, M. Wedekind, J. Hicks, and D. Friesel, \textquotedblleft{The IUCF High Intensity Polarized Ion Source Project}\textquotedblright, in \emph{Proc. PAC’93}, Washington D.C., USA, Mar. 1993, pp. 3184--3187. %\cite{J-M:LINAC00-FR103} \bibitem{J-M:LINAC00-FR103} J-M. Lagniel, \textquotedblleft{Linac Architecture for High Power Proton Sources}\textquotedblright, in \emph{Proc. LINAC’00}, Monterey, CA, USA, Aug. 2000, paper FR103, pp. 1028--1032. %\cite{Lobach:NAPAC22-TUYE4} \bibitem{Lobach:NAPAC22-TUYE4} I. Lobach, M. Borland, K. C. Harkay, N. Kuklev, A. Sannibale, and Y. Sun, \textquotedblleft{Machine Learning for Anomaly Detection and Classification in Particle Accelerators}\textquotedblright, in \emph{Proc. NAPAC’22}, Albuquerque, NM, USA, Aug. 2022, pp. 311--314. \url{doi:10.18429/JACoW-NAPAC2022-TUYE4}

For BibTeX

@inproceedings{kuroguchi:ipac24-mops69, author = {S. Kuroguchi and others}, title = {{Harnessing machine learning for the optimal design of ILC e-driven positron source}}, booktitle = {Proc. IPAC'24}, pages = {886--888}, paper = {MOPS69}, venue = {Nashville, TN, USA}, series = {International Particle Accelerator Conference}, number = {15}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {7}, year = {2024}, issn = {2673-5490}, isbn = {978-3-95-450247-9}, doi = {10.18429/JACoW-IPAC2024-MOPS69}, language = {english} } @inproceedings{scheinker:ibic21-thob03, author = {A. Scheinker}, title = {{Adaptive Control and Machine Learning for Particle Accelerator Beam Control and Diagnostics}}, booktitle = {Proc. IBIC'21}, pages = {466--472}, paper = {THOB03}, venue = {Pohang, Korea}, series = {International Beam Instrumentation Conference}, number = {10}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {11}, year = {2021}, issn = {2673-5350}, isbn = {978-3-95-450230-1}, doi = {10.18429/JACoW-IBIC2021-THOB03}, url = {https://jacow.org/ibic2021/papers/THOB03.pdf}, language = {english} } @unpublished{liang:ipac23-tupl047, author = {Y. Liang and others}, title = {{Multi-bunch operation mode for simultaneously serving SASE and seeding FEL beamlines}}, booktitle = {Proc. IPAC'23}, pages = {}, paper = {TUPL047}, venue = {Venice, Italy}, intype = {presented at the}, series = {International Particle Accelerator Conference}, number = {14}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {9}, year = {2023}, issn = {2673-5490}, isbn = {978-3-95-450231-8}, note = {presented at IPAC'23, Venice, Italy, May 2023, paper TUPL047, unpublished}, language = {english} } @inproceedings{derenchuk:pac93, author = {V. Derenchuk and R. Brown and P. Schwandt and M. Wedekind and J. Hicks and D. Friesel}, title = {{The IUCF High Intensity Polarized Ion Source Project}}, booktitle = {Proc. PAC'93}, pages = {3184--3187}, paper = {}, venue = {Washington D.C., USA, Mar. 1993}, publisher = {JACoW Publishing, Geneva, Switzerland}, language = {english} } @inproceedings{j-m:linac00-fr103, author = {J-M. Lagniel}, title = {{Linac Architecture for High Power Proton Sources}}, booktitle = {Proc. LINAC'00}, pages = {1028--1032}, paper = {FR103}, venue = {Monterey, CA, USA, Aug. 2000}, series = {Linear Accelerator Conference}, number = {20}, publisher = {JACoW Publishing, Geneva, Switzerland}, url = {https://jacow.org/l00/papers/FR103.pdf}, language = {english} } @inproceedings{lobach:napac22-tuye4, author = {I. Lobach and M. Borland and K. C. Harkay and N. Kuklev and A. Sannibale and Y. Sun}, title = {{Machine Learning for Anomaly Detection and Classification in Particle Accelerators}}, booktitle = {Proc. NAPAC'22}, pages = {311--314}, paper = {TUYE4}, 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-TUYE4}, url = {https://jacow.org/napac2022/papers/TUYE4.pdf}, language = {english} }

References

• S. Kuroguchi et al., “Harnessing machine learning for the optimal design of ILC e-driven positron source”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS69, pp. 886-888.
• A. Scheinker, “Adaptive Control and Machine Learning for Particle Accelerator Beam Control and Diagnostics”, in Proc. 10th Int. Beam Instrumentation Conf. (IBIC'21), Pohang, Korea, Sep. 2021, pp. 466-472.
• Y. Liang et al., “Multi-bunch operation mode for simultaneously serving SASE and seeding FEL beamlines”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPL047, unpublished.
• V. Derenchuk, R. Brown, P. Schwandt, M. Wedekind, J. Hicks, and D. Friesel, “The IUCF High Intensity Polarized Ion Source Project”, in Proc. 15th Particle Accelerator Conf. (PAC'93), Washington D.C., USA, Mar. 1993, pp. 3184-3187.
• J-M. Lagniel, “Linac Architecture for High Power Proton Sources”, in Proc. 20th Linear Accelerator Conf. (LINAC'00), Monterey, CA, USA, Aug. 2000, paper FR103, pp. 1028-1032.
• I. Lobach, M. Borland, K. C. Harkay, N. Kuklev, A. Sannibale, and Y. Sun, “Machine Learning for Anomaly Detection and Classification in Particle Accelerators”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 311-314.