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Author: R. J. Roussel


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Reference
Z. Zhang et al., “Badger: The Missing Optimizer in ACR”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 999-1002.
A. L. Edelen, C. Emma, C. E. Mayes, and R. J. Roussel, “Neural Network Solver for Coherent Synchrotron Radiation Wakefield Calculations in Accelerator-Based Charged Particle Beams”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 2261-2264.
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.
R. J. Roussel, “Bayesian Algorithms for Practical Accelerator Control and Adaptive Machine Learning for Time-Varying Systems”, presented at the North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, paper FRXE2, unpublished.
J. P. Edelen et al., “Facilitating Machine Learning Collaborations Between Labs, Universities, and Industry”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 164-169.
J. P. Edelen, B. Nash, and R. J. Roussel, “Magnets to ML to Light Sources: Designing from the Browser with Sirepo”, presented at the North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, paper TUZG1, unpublished.
S. M. Liuzzo et al., “Optimisation of the Touschek Lifetime in Synchrotron Light Sources Using Badger”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper MO3AO01, pp. 108-115.


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