Principal Component Analysis (PCA) unravels spectral components present in XPS spectra of complex oxide films on iron foil

Autor: Neal Fairley, Pascal Bargiela, Wei-Min Huang, Jonas Baltrusaitis
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Applied Surface Science Advances, Vol 17, Iss , Pp 100447- (2023)
Druh dokumentu: article
ISSN: 2666-5239
DOI: 10.1016/j.apsadv.2023.100447
Popis: Principal component analysis (PCA), as applied to the processing of the complex X-ray photoelectron spectroscopy (XPS) lineshapes, is discussed. PCA analysis example is provided of complex native iron oxide films on Fe foil XPS spectra further modified by argon and helium ion beams. Abstract PCA components are derived from Fe 2p, O 1 s and C 1 s regions leading to the assignments of surface (oxy)hydroxide, Fe2O3, FeO and Fe metal, as corroborated by the corresponding elemental quantification profiles. Detailed mathematical concepts behind PCA analysis of spectra data are provided.
Databáze: Directory of Open Access Journals