Torruella Besa, PauArenal, Raúlde la Peña, FranciscoSaghi, ZinebYedra Cardona, LluísEljarrat Ascunce, AlbertoLópez Conesa, LluísEstrader i Bofarull, MartaSalazar-Alvarez, GermanNogués, JosepDucati, CaterinaMidgley, Paul A.Peiró Martínez, FranciscaEstradé Albiol, SòniaLópez-Ortega, Alberto2017-07-192017-07-192016-07-061530-6984https://hdl.handle.net/2445/114064Left panel shows the explained variance ratio of the principal component analysis (PCA) decomposition. The six first components, which are enough to explain the whole data set, are plotted in the right panel. Components 0, 3 and 5 show no remarkable features in the Fe L2,3 ionization energy and seem rather related to the background of the spectra due to their power-law behaviour, while component 1 is almost constant and therefore could be related to the dark noise in the detector.6 p.application/pdfeng(c) American Chemical Society , 2016Òxid de ferroTomografiaVisualització tridimensionalFerric oxideTomographyThree-dimensional display systems3D Visualization of the Iron Oxidation State in FeO/Fe3O4 Core-Shell Nanocubes from Electron Energy Loss Tomography.info:eu-repo/semantics/article6637212017-07-19info:eu-repo/semantics/openAccess