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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]	D. Schirmer, A. Althaus, S. Hüser, S. Khan, and T. Schüngel, “Machine learning-based optimization of storage ring injection efficiency”, in Proc. IPAC'23, Venice, Italy, May 2023, pp. 2896-2899. doi:10.18429/JACoW-IPAC2023-WEPA106

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. \doi{10.18429/JACoW-IPAC2022-TUPOPT059} %\cite{Schirmer:IPAC23-WEPA106} \bibitem{Schirmer:IPAC23-WEPA106} D. Schirmer, A. Althaus, S. Hüser, S. Khan, and T. Schüngel, \textquotedblleft{Machine learning-based optimization of storage ring injection efficiency}\textquotedblright, in \emph{Proc. IPAC’23}, Venice, Italy, May 2023, pp. 2896--2899. \doi{10.18429/JACoW-IPAC2023-WEPA106}

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{schirmer:ipac23-wepa106, author = {D. Schirmer and A. Althaus and S. Hüser and S. Khan and T. Schüngel}, title = {{Machine learning-based optimization of storage ring injection efficiency}}, booktitle = {Proc. IPAC'23}, pages = {2896--2899}, paper = {WEPA106}, venue = {Venice, Italy}, 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}, doi = {10.18429/JACoW-IPAC2023-WEPA106}, 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.
• D. Schirmer, A. Althaus, S. Hüser, S. Khan, and T. Schüngel, “Machine learning-based optimization of storage ring injection efficiency”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA106, pp. 2896-2899.