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15th Int. Particle Accelerator Conf. (IPAC'24)

15th International Particle Accelerator Conference
Nashville, TN, USA, May 2024


References


Reference
E. Laface, “Classification of potentials for self consistent symplectic space charge”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS07, this conference.
S.-A. Udongwo and U. van Rienen, “An open-source Python tool for the Maxwell eigenvalue problem and multipacting analysis in axisymmetric elliptical cavity structures”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS27, this conference.
S. Chauhan, A. Edelen, C. Emma, and S. Gessner, “Modeling and optimization of the FACET-II injector with machine learning algorithms”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS79, this conference.
E. Hamwi, D. Barber, G. Hoffstaetter, and J. Devlin, “Modeling interference of two first-order resonances with two Siberian snakes using machine learning”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS02, this conference.
N. Banerjee, A. Romanov, A. Valishev, G. Stancari, J. Wieland, and N. Kuklev, “Experimental verification of integrability in a Danilov-Nagaitsev lattice using machine learning”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS67, this conference.
D. Wang, X. Huang, and Z. Zhang, “Reinforcement learning enabled fast optimization in lasers and accelerator control: with experimental demonstration on laser combining”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS80, this conference.
E. Hamwi, G. Hoffstaetter, V. Schoefer, and W. Lin, “Comprehensive modeling of Siberian Snakes in BNL’s AGS: symplectic tracking and optical compensation”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS03, this conference.
S. Liuzzo, L. Farvacque, N. Carmignani, and S. White, “Benchmark of AT vs MADX-PTC with exact integrators”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS09, this conference.
S. Kuroguchi et al., “Harnessing machine learning for the optimal design of ILC e-driven positron source”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS69, this conference.
W. Cheng, Z. Zhu, M. Zhao, M. Zhang, and D. Gu, “Start-to-end simulations of microbunching instability based on optimized velocity bunching in linac-driven FELs”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS42, this conference.

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