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Fairley, N., Bargiela, P., Roberts, A., Fernandez, V. & Baltrusaitis, J. (2023) Practical guide to understanding goodness-of-fit metrics used in chemical state modeling of x-ray photoelectron spectroscopy data by synthetic line shapes using nylon as an example. Journal of Vacuum Science & Technology A, 41 013203.
Added by: Richard Baschera (2023-01-20 09:53:33) Last edited by: Richard Baschera (2023-01-20 09:57:54) |
| Type de référence: Article DOI: 10.1116/6.0002196 Numéro d'identification (ISBN etc.): 0734-2101 Clé BibTeX: Fairley2023 Voir tous les détails bibliographiques  |
Catégories: IMN, INTERNATIONAL Créateurs: Baltrusaitis, Bargiela, Fairley, Fernandez, Roberts Collection: Journal of Vacuum Science & Technology A |
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| Résumé |
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Chemical state analysis of a sample surface through fitting bell-shaped curves to x-ray photoelectron spectroscopic polymer data is reviewed using nylon to introduce and discuss aspects of data analysis. Different strategies for modeling chemistry in nylon spectra are presented and in so doing, a case is made to include in published science the design logic and implementation in terms of line shapes and optimization parameter constraints between components in a peak model. Imperfections in line shape relative to the true shape for photoemission lines, when compensated for using constraints to optimization parameters, are shown to provide chemical state information about a sample that justify, for peak models constructed with these limitations, metrics for goodness-of-fit different from those expected for pulse-counted data. Published under an exclusive license by the AVS.
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