Ozon, M., Tumashevich, K., Lin, J. J., & Prisle, N. L. (2023). Inversion model for extracting chemically resolved depth profiles across liquid interfaces of various configurations from XPS data: PROPHESY. Journal of Synchrotron Radiation, 30(5), 941–961. https://doi.org/10.1107/S1600577523006124
Inversion model for extracting chemically resolved depth profiles across liquid interfaces of various configurations from XPS data : PROPHESY
|Author:||Ozon, Matthew1; Tumashevich, Konstantin1; Lin, Jack J.1;|
1Center for Atmospheric Research, University of Oulu, PO Box 4500, Finland
|Online Access:||PDF Full Text (PDF, 1.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe20231013140041
International Union of Crystallography,
|Publish Date:|| 2023-10-13
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.
Journal of synchrotron radiation
|Pages:||941 - 961|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
115 Astronomy and space science
The following funding is acknowledged: H2020 European Research Council (grant No. 717022); Academy of Finland (grant No. 308238; grant No. 314175; grant No. 316743; grant No. 335649; grant No. 331532; grant No. 351476).
|EU Grant Number:||
(717022) SURFACE - The unexplored world of aerosol surfaces and their impacts.
|Academy of Finland Grant Number:||
308238 (Academy of Finland Funding decision)
314175 (Academy of Finland Funding decision)
316743 (Academy of Finland Funding decision)
335649 (Academy of Finland Funding decision)
331532 (Academy of Finland Funding decision)
351476 (Academy of Finland Funding decision)
© The Author(s) 2023. Published under a CC BY 4.0 licence.