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[n]	I. Marneris, T. Roser, A. G. Ruggiero, and J. Sandberg, “Running the AGS MMPS at 5 Hz, 24 GeV”, in Proc. PAC'01, Chicago, IL, USA, Jun. 2001, paper FPAH006, pp. 3669-3671. 

[n]	E. Scott et al., “Machine learning and Bayesian optimization for pulse shaping on a linear induction accelerator”, presented at the IPAC'23, Venice, Italy, May 2023, paper MOPL138, unpublished. 

For LaTeX

%\cite{Marneris:PAC01-FPAH006} \bibitem{Marneris:PAC01-FPAH006} I. Marneris, T. Roser, A. G. Ruggiero, and J. Sandberg, \textquotedblleft{Running the AGS MMPS at 5 Hz, 24 GeV}\textquotedblright, in \emph{Proc. PAC’01}, Chicago, IL, USA, Jun. 2001, paper FPAH006, pp. 3669--3671. %\cite{Scott:IPAC23-MOPL138} \bibitem{Scott:IPAC23-MOPL138} E. Scott \emph{et al.}, \textquotedblleft{Machine learning and Bayesian optimization for pulse shaping on a linear induction accelerator}\textquotedblright, presented at the IPAC’23, Venice, Italy, May 2023, paper MOPL138, unpublished.

For BibTeX

@inproceedings{marneris:pac01-fpah006, author = {I. Marneris and T. Roser and A. G. Ruggiero and J. Sandberg}, title = {{Running the AGS MMPS at 5 Hz, 24 GeV}}, booktitle = {Proc. PAC'01}, pages = {3669--3671}, paper = {FPAH006}, venue = {Chicago, IL, USA, Jun. 2001}, publisher = {JACoW Publishing, Geneva, Switzerland}, url = {https://jacow.org/p01/papers/FPAH006.pdf}, language = {english} } @unpublished{scott:ipac23-mopl138, author = {E. Scott and others}, title = {{Machine learning and Bayesian optimization for pulse shaping on a linear induction accelerator}}, booktitle = {Proc. IPAC'23}, pages = {}, paper = {MOPL138}, 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issn = {2673-5490}, isbn = {978-3-95-450231-8}, note = {presented at IPAC'23, Venice, Italy, May 2023, paper MOPL138, unpublished}, language = {english} }

References

• I. Marneris, T. Roser, A. G. Ruggiero, and J. Sandberg, “Running the AGS MMPS at 5 Hz, 24 GeV”, in Proc. 19th Particle Accelerator Conf. (PAC'01), Chicago, IL, USA, Jun. 2001, paper FPAH006, pp. 3669-3671.
• E. Scott et al., “Machine learning and Bayesian optimization for pulse shaping on a linear induction accelerator”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL138, unpublished.