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[n]	Y. Luo, S. Zheng, P. Fang, Y. Huang, and H. Yao, “Real-time tomography of synchrotron longitudinal phase space based on spatio-temporal neural networks”, presented at the IPAC'26, Deauville, France, May 2026, paper MOP6605, unpublished. 

For LaTeX

%\cite{Luo:IPAC26-MOP6605} \bibitem{Luo:IPAC26-MOP6605} Y. Luo, S. Zheng, P. Fang, Y. Huang, and H. Yao, \textquotedblleft{Real-time tomography of synchrotron longitudinal phase space based on spatio-temporal neural networks}\textquotedblright, presented at the IPAC’26, Deauville, France, May 2026, paper MOP6605, unpublished.

For BibTeX

@unpublished{luo:ipac26-mop6605, author = {Y. Luo and S. Zheng and P. Fang and Y. Huang and H. Yao}, title = {{Real-time tomography of synchrotron longitudinal phase space based on spatio-temporal neural networks}}, pages = {}, paper = {MOP6605}, venue = {Deauville, France, May 2026}, intype = {presented at the}, series = {International Particle Accelerator Conference}, number = {16}, publisher = {JACoW Publishing, Geneva, Switzerland}, note = {presented at IPAC'26, Deauville, France, May 2026, paper MOP6605, unpublished}, language = {english} }

References

• Y. Luo, S. Zheng, P. Fang, Y. Huang, and H. Yao, “Real-time tomography of synchrotron longitudinal phase space based on spatio-temporal neural networks”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP6605, this conference.