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[n]	A. M. Sessler, “High-Intensity Effects in the Longitudinal Motion of Stored Particle Beams”, in Proc. PAC'73, San Francisco, CA, USA, Mar. 1973, pp. 854-858. 

[n]	N. Kuklev, “Fast linac optics measurement with machine learning methods”, presented at the LINAC'24, Chicago, IL, USA, Aug. 2024, paper THPB003, unpublished. 

For LaTeX

%\cite{Sessler:PAC73} \bibitem{Sessler:PAC73} A. M. Sessler, \textquotedblleft{High-Intensity Effects in the Longitudinal Motion of Stored Particle Beams}\textquotedblright, in \emph{Proc. PAC’73}, San Francisco, CA, USA, Mar. 1973, pp. 854--858. %\cite{Kuklev:LINAC24-THPB003} \bibitem{Kuklev:LINAC24-THPB003} N. Kuklev, \textquotedblleft{Fast linac optics measurement with machine learning methods}\textquotedblright, presented at the LINAC’24, Chicago, IL, USA, Aug. 2024, paper THPB003, unpublished.

For BibTeX

@inproceedings{sessler:pac73, author = {A. M. Sessler}, title = {{High-Intensity Effects in the Longitudinal Motion of Stored Particle Beams}}, booktitle = {Proc. PAC'73}, pages = {854--858}, paper = {}, venue = {San Francisco, CA, USA}, series = {Particle Accelerator Conference}, number = {5}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {6}, year = {1973}, language = {english} } @unpublished{kuklev:linac24-thpb003, author = {N. Kuklev}, title = {{Fast linac optics measurement with machine learning methods}}, booktitle = {Proc. LINAC'24}, pages = {}, paper = {THPB003}, venue = {Chicago, IL, USA}, intype = {presented at the}, series = {Linear Accelerator Conference}, number = {32}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {8}, year = {2024}, issn = {2226-0366}, isbn = {978-3-95-450219-6}, note = {presented at LINAC'24, Chicago, IL, USA, Aug. 2024, paper THPB003, unpublished}, language = {english} }

References

• A. M. Sessler, “High-Intensity Effects in the Longitudinal Motion of Stored Particle Beams”, in Proc. 5th Particle Accelerator Conf. (PAC'73), San Francisco, CA, USA, Mar. 1973, pp. 854-858.
• N. Kuklev, “Fast linac optics measurement with machine learning methods”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB003, unpublished.