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Author: C. Mayes


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Reference
A. Edelen et al., “Detailed Phase Space Reconstruction from Accelerator Beam Measurements Using Differentiable Simulations”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL165, unpublished.
A. Edelen et al., “Progress on combining digital twins and machine learning based control for accelerators at SLAC”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS72, this conference.
C. Gulliford et al., “Design and optimization of an ERL for cooling EIC hadron beams”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPA016, pp. 73-76.
C. Mayes, D. Sagan, and H. Slepicka, “PyTao: the Python interface to Tao”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA086, pp. 2838-2841.
J. Crittenden, G. Hoffstaetter, M. Liepe, C. Mayes, and D. Sagan, “BBU Calculations for ERLs”, in Proc. 45th ICFA Advanced Beam Dynamics Workshop on Energy Recovery LINAC Workshop (ERL'09), Ithaca, NY, USA, Jun. 2009, paper JS203, pp. 82-84.
J. P. Gonzalez-Aguilera, Y.-K. Kim, R. Roussel, A. Edelen, and C. Mayes, “Towards fully differentiable accelerator modeling”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA065, pp. 2797-2800.
N. Taylor et al., “A high-power positron converter based on a recirculated liquid metal in-vacuum target”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPC83, this conference.
N. Wang, C. Mayes, C. Gulliford, D. Sagan, and G. Hoffstaetter, “EIC cooler injector space charge benchmark”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPL157, pp. 2108-2111.
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.
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 (IPAC'23), Venice, Italy, May 2023, paper MOOD3, unpublished.


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