|
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 (IPAC'23), Venice, Italy, May 2023, paper MOOD3, unpublished. |
|
D. Storey et al., “Status and first results from FACET-II towards the demonstration of plasma wakefield acceleration, coherent radiation generation, and probing strong-field QED”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA104, pp. 1549-1552. |
|
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. |
|
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. |
|
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 (IPAC'23), Venice, Italy, May 2023, paper THPL165, unpublished. |
|
R. Roussel, C. Mayes, A. Edelen, and A. Bartnik, “Xopt: A simplified framework for optimization of accelerator problems using advanced algorithms”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL164, pp. 4847-4850. |
|
S. Kim et al., “Demonstrations of the 4D phase space reconstruction of flat and magnetized beams using neural-networks and differentiable simulations”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS77, unpublished. |
|
S. Chauhan, A. Edelen, C. Emma, and S. Gessner, “Modeling and optimization of the FACET-II injector with machine learning algorithms”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS79, pp. 913-916. |
|
J. Hirschman et al., “Linking edge-ML X-ray diagnostics and adaptable photoinjector laser shaping for leveraging the capabilities of LCLS-II”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPG64, unpublished. |
|
A. Edelen et al., “Progress on combining digital twins and machine learning-based control for accelerators at SLAC”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS72, pp. 1846-1849. |