Surface science insight note: Charge compensation and charge correction in X‐ray photoelectron spectroscopy.

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Title: Surface science insight note: Charge compensation and charge correction in X‐ray photoelectron spectroscopy.
Authors: Mendoza‐Sánchez, Beatriz1 (AUTHOR) beatriz.sanchez.wa@gmail.com, Fernandez, Vincent2 (AUTHOR), Bargiela, Pascal3,4 (AUTHOR), Fairley, Neal5 (AUTHOR), Baltrusaitis, Jonas6 (AUTHOR) job314@lehigh.edu
Source: Surface & Interface Analysis: SIA. Aug2024, Vol. 56 Issue 8, p525-531. 7p.
Subjects: X-ray photoelectron spectroscopy, Electron cloud effect
Abstract: Strategies to deal with sample charging effects on X‐ray photoelectron spectroscopy (XPS) spectra are presented. These strategies combine charge compensation (or lack of) via a flow of electrons and an electrical connection (or lack of) of samples to the ground. Practical examples involving samples with a range of different electrical properties, sample structure/composition and sensitivity to X‐rays, illustrate the correlation between sample properties, measurement strategies, and the resulting XPS data. The most appropriate measurement strategy for a particular sample is also recommended. We highlight the crucial importance of appropriate XPS data acquisition to obtain a correct data interpretation. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:Strategies to deal with sample charging effects on X‐ray photoelectron spectroscopy (XPS) spectra are presented. These strategies combine charge compensation (or lack of) via a flow of electrons and an electrical connection (or lack of) of samples to the ground. Practical examples involving samples with a range of different electrical properties, sample structure/composition and sensitivity to X‐rays, illustrate the correlation between sample properties, measurement strategies, and the resulting XPS data. The most appropriate measurement strategy for a particular sample is also recommended. We highlight the crucial importance of appropriate XPS data acquisition to obtain a correct data interpretation. [ABSTRACT FROM AUTHOR]
ISSN:01422421
DOI:10.1002/sia.7309