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[n]	D. Schirmer, A. Althaus, and T. Sch??ngel, “Machine Learning Methods for Chromaticity Control at the 1.5 GeV Synchrotron Light Source DELTA”, in Proc. IPAC'22, Bangkok, Thailand, Jun. 2022, pp. 1141-1144. doi:10.18429/JACoW-IPAC2022-TUPOPT059

[n]	K. Hwang et al., “Beam Tuning at the FRIB Front End Using Machine Learning”, in Proc. IPAC'22, Bangkok, Thailand, Jun. 2022, pp. 983-986. doi:10.18429/JACoW-IPAC2022-TUPOST053

For LaTeX

%\cite{Schirmer:IPAC22-TUPOPT059} \bibitem{Schirmer:IPAC22-TUPOPT059} D. Schirmer, A. Althaus, and T. Sch??ngel, \textquotedblleft{Machine Learning Methods for Chromaticity Control at the 1.5 GeV Synchrotron Light Source DELTA}\textquotedblright, in \emph{Proc. IPAC’22}, Bangkok, Thailand, Jun. 2022, pp. 1141--1144. \url{doi:10.18429/JACoW-IPAC2022-TUPOPT059} %\cite{Hwang:IPAC22-TUPOST053} \bibitem{Hwang:IPAC22-TUPOST053} K. Hwang \emph{et al.}, \textquotedblleft{Beam Tuning at the FRIB Front End Using Machine Learning}\textquotedblright, in \emph{Proc. IPAC’22}, Bangkok, Thailand, Jun. 2022, pp. 983--986. \url{doi:10.18429/JACoW-IPAC2022-TUPOST053}

For BibTeX

@inproceedings{schirmer:ipac22-tupopt059, author = {D. Schirmer and A. Althaus and T. Sch??ngel}, title = {{Machine Learning Methods for Chromaticity Control at the 1.5 GeV Synchrotron Light Source DELTA}}, booktitle = {Proc. IPAC'22}, pages = {1141--1144}, paper = {TUPOPT059}, venue = {Bangkok, Thailand}, series = {International Particle Accelerator Conference}, number = {13}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {7}, year = {2022}, issn = {2673-5490}, isbn = {978-3-95-450227-1}, doi = {10.18429/JACoW-IPAC2022-TUPOPT059}, url = {https://jacow.org/IPAC2022/papers/TUPOPT059.pdf}, language = {english} } @inproceedings{hwang:ipac22-tupost053, author = {K. Hwang and others}, title = {{Beam Tuning at the FRIB Front End Using Machine Learning}}, booktitle = {Proc. IPAC'22}, pages = {983--986}, paper = {TUPOST053}, venue = {Bangkok, Thailand}, series = {International Particle Accelerator Conference}, number = {13}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {7}, year = {2022}, issn = {2673-5490}, isbn = {978-3-95-450227-1}, doi = {10.18429/JACoW-IPAC2022-TUPOST053}, url = {https://jacow.org/IPAC2022/papers/TUPOST053.pdf}, language = {english} }

References

• D. Schirmer, A. Althaus, and T. Sch??ngel, “Machine Learning Methods for Chromaticity Control at the 1.5 GeV Synchrotron Light Source DELTA”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 1141-1144.
• K. Hwang et al., “Beam Tuning at the FRIB Front End Using Machine Learning”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 983-986.