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Numerical and experimental estimation of measurement uncertainty in magnetic field mapping
Marca, P. L., Tarabini, M., Lerch, P., Gabard, A., Montenero, G., & Calzolaio, C. (2022). Numerical and experimental estimation of measurement uncertainty in magnetic field mapping. IEEE Transactions on Instrumentation and Measurement, 71, 7505210 (10 pp.). https://doi.org/10.1109/TIM.2022.3212530
Experience with anomaly detection using ensemble models on streaming data at HIPA
Coello de Portugal, J., & Snuverink, J. (2021). Experience with anomaly detection using ensemble models on streaming data at HIPA. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1020, 165900 (7 pp.). https://doi.org/10.1016/j.nima.2021.165900
On nonintrusive uncertainty quantification and surrogate model construction in particle accelerator modeling
Adelmann, A. (2019). On nonintrusive uncertainty quantification and surrogate model construction in particle accelerator modeling. SIAM-ASA Journal on Uncertainty Quantification, 7(2), 383-416. https://doi.org/10.1137/16M1061928
A new look at linear (non-?) symplectic ion beam optics in magnets
Baumgarten, C. (2014). A new look at linear (non-?) symplectic ion beam optics in magnets. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 735, 546-551. https://doi.org/10.1016/j.nima.2013.09.066