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Author: R. J. Roussel


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Reference
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. Nause, A. Friedman, A. Fukasawa, J. B. Rosenzweig, R. J. Roussel, and B. Spataro, “First Operation of a Hybrid e-Gun at the Schlesinger Center for Compact Accelerators in Ariel University”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 1171-1174.
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.
F. Ji et al., “Multi-Objective Bayesian Optimization at SLAC MeV-UED”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 995-998.
G. E. Lawler, J. I. Mann, J. B. Rosenzweig, R. J. Roussel, and V. S. Yu, “Initial Nanoblade-Enhanced Laser-Induced Cathode Emission Measurements”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2814-2817.
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 (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, paper TUZG1, unpublished.
J. P. Gonzalez-Aguilera et al., “Beam Diagnostics for Multi-Objective Bayesian Optimization at the Argonne Wakefield Accelerator Facility”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 960-962.
N. Majernik et al., “Arbitrary Longitudinal Pulse Shaping with a Multi-Leaf Collimator and Emittance Exchange”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 1600-1603.
R. J. Roussel and A. Hanuka, “Towards Hysteresis Aware Bayesian Regression and Optimization”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2159-2162.


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