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Author: N. Yampolsky


References



Reference
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 (IPAC'23), Venice, Italy, May 2023, paper THPL134, unpublished.
C. Leon, A. Scheinker, N. Yampolsky, and P. Anisimov, “Utilizing neural networks to speed up coherent synchrotron radiation computations”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS73, pp. 901-904.
Q. Marksteiner et al., “Active control of the energy chirp of a relativistic electron beam at the Argonne Wakefield Accelerator”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPC30, pp. 1068-1070.
N. Yampolsky and V. Pavlenko, “Precise measurements of mean transverse energy of photocathodes”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPC56, unpublished.
N. Yampolsky, E.-C. Huang, J. Quemuel, and A. Scheinker, “Early prediction of system failures at LANSCE”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPG55, unpublished.
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.


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