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Inversion model for extracting chemically resolved depth profiles across liquid interfaces of various configurations from XPS data: PROPHESY.
Ozon, Matthew; Tumashevich, Konstantin; Lin, Jack J; Prisle, Nønne L.
Afiliación
  • Ozon M; Center for Atmospheric Research, University of Oulu, PO Box 4500, Finland.
  • Tumashevich K; Center for Atmospheric Research, University of Oulu, PO Box 4500, Finland.
  • Lin JJ; Center for Atmospheric Research, University of Oulu, PO Box 4500, Finland.
  • Prisle NL; Center for Atmospheric Research, University of Oulu, PO Box 4500, Finland.
J Synchrotron Radiat ; 30(Pt 5): 941-961, 2023 Sep 01.
Article en En | MEDLINE | ID: mdl-37610342
PROPHESY, a technique for the reconstruction of surface-depth profiles from X-ray photoelectron spectroscopy data, is introduced. The inversion methodology is based on a Bayesian framework and primal-dual convex optimization. The acquisition model is developed for several geometries representing different sample types: plane (bulk sample), cylinder (liquid microjet) and sphere (droplet). The methodology is tested and characterized with respect to simulated data as a proof of concept. Possible limitations of the method due to uncertainty in the attenuation length of the photo-emitted electron are illustrated.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Synchrotron Radiat Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Finlandia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Synchrotron Radiat Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Finlandia