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A. Scheinker, F. W. Cropp V, and D. Filippetto, “6D Phase Space Diagnostics Based on Adaptively Tuned Physics-Informed Generative Convolutional Neural Networks”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 776-779. |
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F. W. Cropp V et al., “Toward Machine Learning-Based Adaptive Control and Global Feedback for Compact Accelerators”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 991-994. |
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A. Scheinker and R. J. Roussel, “Bayesian Algorithms for Practical Accelerator Control and Adaptive Machine Learning for Time-Varying Systems”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 921-926. |
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A. Scheinker, “6D Phase Space Diagnostics Based on Adaptive Tuning of the Latent Space of Encoder-Decoder Convolutional Neural Networks”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 837-841. |
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J. E. Koglin, J. E. Coleman, M. McKerns, D. Ronquillo, and A. Scheinker, “Progress Toward Improving Accelerator Performance and Automating Operations with Advanced Analysis Software”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 465-468. |
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A. Scheinker, K. W. Dudeck, and C. P. Leibman, “Machine Learning for the LANL Electromagnetic Isotope Separator”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 490-492. |
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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. |
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A. Scheinker, “Physics-constrained 3D convolutional neural networks for electrodynamics of relativistic charged particle beams”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA102, unpublished. |
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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. |
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C. E. Taylor et al., “Model Driven Reconfiguration of LANSCE Tuning Methods”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TU1BCO05, pp. 267-272. |
