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Author: J. P. Edelen


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Reference
C. M. Baffes et al., “Installation Progress at the PIP-II Injector Test at Fermilab”, in Proc. North American Particle Accelerator Conf. (NAPAC'16), Chicago, IL, USA, Oct. 2016, pp. 722-725.
D. L. Bowring et al., “Resonant Control for Fermilab's PXIE RFQ”, in Proc. 7th Int. Particle Accelerator Conf. (IPAC'16), Busan, Korea, May 2016, pp. 447-450.
E. R. Harms et al., “Commissioning and First Results from the Fermilab Cryomodule Test Stand”, in Proc. 28th Linear Accelerator Conf. (LINAC'16), East Lansing, MI, USA, Sep. 2016, pp. 185-188.
I. Lobach et al., “Machine Learning for Predicting Power Supply Trips in Storage Rings”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 413-416.
I. V. Pogorelov et al., “Machine Learning Based Noise Reduction of Neutron Camera Images at ORNL”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TUPDP114, pp. 841-845.
J. A. Einstein-Curtis et al., “Classification and Prediction of Superconducting Magnet Quenches”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TUPDP117, pp. 856-859.
J. A. Einstein-Curtis et al., “Laser Focal Position Correction Using FPGA-Based ML Models”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TU1BCO04, pp. 262-266.
J. A. Einstein-Curtis et al., “Online Correction of Laser Focal Position Using FPGA-Based ML Models”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 857-860.
J. P. Edelen et al., “A Flexible EPICS Framework for Sample Alignment at Neutron Beamlines”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TUPDP113, pp. 836-840.
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.


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