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Author: M. Borland


References



Reference
A. Grannan et al., “HED-Melt: A coupled framework for modeling high-energy-density conditions in accelerators”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 149-153.
O. Mohsen, I. Lobach, M. Borland, and Y. Sun, “Machine learning-enhanced infrared imaging for temperature anomaly detection in power supplies”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 185-189.
N. Kuklev, H. Shang, L. Emery, M. Borland, and Y. Sun, “Physics-coupled Bayesian algorithm for APS-U nonlinear dynamics tuning”, presented at the 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, paper MOP074, unpublished.
C. Xu, L. Emery, M. Borland, O. Mohsen, R. Roussel, and Y. Sun, “Towards accurate beam sigma matrix determination in a transport line using differentiable simulation”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 264-268.
R. Sainju, M. Borland, O. Mohsen, and Y. Sun, “Application of low-cost sensors and deep autoencoders for monitoring water pumps in particle accelerators”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 694-698.


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