Reference Search

Favourites

For Word

[n]	J. Wan, S. Zhao, Y. Hao, W. Chang, and H. Ao, “Machine learning enabled model predictive control of the FRIB RFQ”, in Proc. IPAC'24, Nashville, TN, USA, May 2024, pp. 1798-1799. doi:10.18429/JACoW-IPAC2024-TUPS57

[n]	M. Geitz et al., “A Hilbert Transform Spectrometer Using a High TC Josephson Junction for Bunch Length Measurements at the TESLA Test Facility Linac”, in Proc. PAC'99, New York, NY, USA, Mar. 1999, paper WEA133, pp. 2178-2180. 

For LaTeX

%\cite{Wan:IPAC24-TUPS57} \bibitem{Wan:IPAC24-TUPS57} J. Wan, S. Zhao, Y. Hao, W. Chang, and H. Ao, \textquotedblleft{Machine learning enabled model predictive control of the FRIB RFQ}\textquotedblright, in \emph{Proc. IPAC’24}, Nashville, TN, USA, May 2024, pp. 1798--1799. \doi{10.18429/JACoW-IPAC2024-TUPS57} %\cite{Geitz:PAC99-WEA133} \bibitem{Geitz:PAC99-WEA133} M. Geitz \emph{et al.}, \textquotedblleft{A Hilbert Transform Spectrometer Using a High TC Josephson Junction for Bunch Length Measurements at the TESLA Test Facility Linac}\textquotedblright, in \emph{Proc. PAC’99}, New York, NY, USA, Mar. 1999, paper WEA133, pp. 2178--2180.

For BibTeX

@inproceedings{wan:ipac24-tups57, author = {J. Wan and S. Zhao and Y. Hao and W. Chang and H. Ao}, title = {{Machine learning enabled model predictive control of the FRIB RFQ}}, booktitle = {Proc. IPAC'24}, pages = {1798--1799}, paper = {TUPS57}, 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-TUPS57}, language = {english} } @inproceedings{geitz:pac99-wea133, author = {M. Geitz and others}, title = {{A Hilbert Transform Spectrometer Using a High TC Josephson Junction for Bunch Length Measurements at the TESLA Test Facility Linac}}, booktitle = {Proc. PAC'99}, pages = {2178--2180}, paper = {WEA133}, venue = {New York, NY, USA, Mar. 1999}, publisher = {JACoW Publishing, Geneva, Switzerland}, url = {https://jacow.org/p99/papers/WEA133.pdf}, language = {english} }

References

• J. Wan, S. Zhao, Y. Hao, W. Chang, and H. Ao, “Machine learning enabled model predictive control of the FRIB RFQ”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS57, pp. 1798-1799.
• M. Geitz et al., “A Hilbert Transform Spectrometer Using a High TC Josephson Junction for Bunch Length Measurements at the TESLA Test Facility Linac”, in Proc. 18th Particle Accelerator Conf. (PAC'99), New York, NY, USA, Mar. 1999, paper WEA133, pp. 2178-2180.