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[n]	D. Wang, A. DeSimone, and G. Ha, “Enabling arbitrary correlations in beam phase space via curve matching”, in Proc. IPAC'25, Taipei, Taiwan, Jun. 2025, pp. 3166-3169. doi:10.18429/JACoW-IPAC2025-THPS098

[n]	R. Robles, A. Edelen, W. Lou, C. Mayes, and R. Roussel, “Efficient computation of two-dimensional coherent synchrotron radiation with neural networks”, in Proc. IPAC'23, Venice, Italy, May 2023, pp. 2892-2895. doi:10.18429/JACoW-IPAC2023-WEPA105

[n]	C. Leon, A. Scheinker, N. Yampolsky, and P. Anisimov, “Generalization ability of convolutional neural networks trained for coherent synchrotron radiation computations”, in Proc. LINAC'24, Chicago, IL, USA, Aug. 2024, pp. 219-222. doi:10.18429/JACoW-LINAC2024-MOPB081

[n]	K. Shipman, D. Patrick, M. Sanchez Barrueta, Q. Marksteiner, R. Hemphill, and H. Xu, “Magnetic focusing architecture for a compact electron buncher”, in Proc. IPAC'24, Nashville, TN, USA, May 2024, pp. 153-155. doi:10.18429/JACoW-IPAC2024-MOPC41

[n]	R. Roussel et al., “Efficient tuning of particle accelerator emittance via Bayesian algorithm execution and virtual objectives”, presented at the IPAC'23, Venice, Italy, May 2023, paper MOOD3, unpublished. 

[n]	N. Yampolsky, P. Anisimov, and A. Scheinker, “Novel diagnostics for measuring 4D beam matrix”, presented at the IPAC'23, Venice, Italy, May 2023, paper THPL134, unpublished. 

For LaTeX

%\cite{Wang:IPAC25-THPS098} \bibitem{Wang:IPAC25-THPS098} D. Wang, A. DeSimone, and G. Ha, \textquotedblleft{Enabling arbitrary correlations in beam phase space via curve matching}\textquotedblright, in \emph{Proc. IPAC’25}, Taipei, Taiwan, Jun. 2025, pp. 3166--3169. \doi{10.18429/JACoW-IPAC2025-THPS098} %\cite{Robles:IPAC23-WEPA105} \bibitem{Robles:IPAC23-WEPA105} R. Robles, A. Edelen, W. Lou, C. Mayes, and R. Roussel, \textquotedblleft{Efficient computation of two-dimensional coherent synchrotron radiation with neural networks}\textquotedblright, in \emph{Proc. IPAC’23}, Venice, Italy, May 2023, pp. 2892--2895. \doi{10.18429/JACoW-IPAC2023-WEPA105} %\cite{Leon:LINAC24-MOPB081} \bibitem{Leon:LINAC24-MOPB081} C. Leon, A. Scheinker, N. Yampolsky, and P. Anisimov, \textquotedblleft{Generalization ability of convolutional neural networks trained for coherent synchrotron radiation computations}\textquotedblright, in \emph{Proc. LINAC’24}, Chicago, IL, USA, Aug. 2024, pp. 219--222. \doi{10.18429/JACoW-LINAC2024-MOPB081} %\cite{Shipman:IPAC24-MOPC41} \bibitem{Shipman:IPAC24-MOPC41} K. Shipman, D. Patrick, M. Sanchez Barrueta, Q. Marksteiner, R. Hemphill, and H. Xu, \textquotedblleft{Magnetic focusing architecture for a compact electron buncher}\textquotedblright, in \emph{Proc. IPAC’24}, Nashville, TN, USA, May 2024, pp. 153--155. \doi{10.18429/JACoW-IPAC2024-MOPC41} %\cite{Roussel:IPAC23-MOOD3} \bibitem{Roussel:IPAC23-MOOD3} R. Roussel \emph{et al.}, \textquotedblleft{Efficient tuning of particle accelerator emittance via Bayesian algorithm execution and virtual objectives}\textquotedblright, presented at the IPAC’23, Venice, Italy, May 2023, paper MOOD3, unpublished. %\cite{Yampolsky:IPAC23-THPL134} \bibitem{Yampolsky:IPAC23-THPL134} N. Yampolsky, P. Anisimov, and A. Scheinker, \textquotedblleft{Novel diagnostics for measuring 4D beam matrix}\textquotedblright, presented at the IPAC’23, Venice, Italy, May 2023, paper THPL134, unpublished.

For BibTeX

@inproceedings{wang:ipac25-thps098, author = {D. Wang and A. DeSimone and G. Ha}, title = {{Enabling arbitrary correlations in beam phase space via curve matching}}, booktitle = {Proc. IPAC'25}, pages = {3166--3169}, paper = {THPS098}, venue = {Taipei, Taiwan}, series = {International Particle Accelerator Conference}, number = {16}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {11}, year = {2025}, issn = {2673-5490}, isbn = {978-3-95-450248-6}, doi = {10.18429/JACoW-IPAC2025-THPS098}, language = {english} } @inproceedings{robles:ipac23-wepa105, author = {R. Robles and A. Edelen and W. Lou and C. Mayes and R. Roussel}, title = {{Efficient computation of two-dimensional coherent synchrotron radiation with neural networks}}, booktitle = {Proc. IPAC'23}, pages = {2892--2895}, paper = {WEPA105}, 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-WEPA105}, language = {english} } @inproceedings{leon:linac24-mopb081, author = {C. Leon and A. Scheinker and N. Yampolsky and P. Anisimov}, title = {{Generalization ability of convolutional neural networks trained for coherent synchrotron radiation computations}}, booktitle = {Proc. LINAC'24}, pages = {219--222}, paper = {MOPB081}, venue = {Chicago, IL, USA}, series = {Linear Accelerator Conference}, number = {32}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {8}, year = {2024}, issn = {2226-0366}, isbn = {978-3-95-450219-6}, doi = {10.18429/JACoW-LINAC2024-MOPB081}, language = {english} } @inproceedings{shipman:ipac24-mopc41, author = {K. Shipman and D. Patrick and M. Sanchez Barrueta and Q. Marksteiner and R. Hemphill and H. Xu}, title = {{Magnetic focusing architecture for a compact electron buncher}}, booktitle = {Proc. IPAC'24}, pages = {153--155}, paper = {MOPC41}, 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-MOPC41}, language = {english} } @unpublished{roussel:ipac23-mood3, author = {R. Roussel and others}, title = {{Efficient tuning of particle accelerator emittance via Bayesian algorithm execution and virtual objectives}}, booktitle = {Proc. IPAC'23}, pages = {}, paper = {MOOD3}, 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 MOOD3, unpublished}, language = {english} } @unpublished{yampolsky:ipac23-thpl134, author = {N. Yampolsky and P. Anisimov and A. Scheinker}, title = {{Novel diagnostics for measuring 4D beam matrix}}, booktitle = {Proc. IPAC'23}, pages = {}, paper = {THPL134}, 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 THPL134, unpublished}, language = {english} }

References

• D. Wang, A. DeSimone, and G. Ha, “Enabling arbitrary correlations in beam phase space via curve matching”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPS098, pp. 3166-3169.
• R. Robles, A. Edelen, W. Lou, C. Mayes, and R. Roussel, “Efficient computation of two-dimensional coherent synchrotron radiation with neural networks”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA105, pp. 2892-2895.
• C. Leon, A. Scheinker, N. Yampolsky, and P. Anisimov, “Generalization ability of convolutional neural networks trained for coherent synchrotron radiation computations”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 219-222.
• K. Shipman, D. Patrick, M. Sanchez Barrueta, Q. Marksteiner, R. Hemphill, and H. Xu, “Magnetic focusing architecture for a compact electron buncher”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPC41, pp. 153-155.
• R. Roussel et al., “Efficient tuning of particle accelerator emittance via Bayesian algorithm execution and virtual objectives”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOOD3, unpublished.
• N. Yampolsky, P. Anisimov, and A. Scheinker, “Novel diagnostics for measuring 4D beam matrix”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL134, unpublished.