A Robust Principal Component Analysis for Outlier Identification in Messy Microcalorimeter Data - Fowler, J. W.; Alpert, B. K.; Joe, Y.-I.; O’Neil, G. C.; Swetz, D. S.; Ullom, J. N. (Journal of low temperature physics, 2020)
Keywords: Characterization and Evaluation of Materials; Condensed Matter Physics; Data analysis; Low temperature physics; Machine learning; Magnetic Materials; Magnetism; Nonlinear analysis; Outliers (statistics); Physics; Physics and Astronomy; Principal components analysis; Spectrometers; Microcalorimeters; Pulse analysis; X-ray pulses