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Quantitative alignment parameter estimation for analyzing X-ray photoelectron spectra

The interpretation of X-ray photoelectron spectroscopy (XPS) data relies on measurement models that depend on several parameters, including the photoelectron attenuation length and X-ray photon flux. However, some of these parameters are not known, because they are not or cannot be measured. The unk...

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Detalles Bibliográficos
Autores principales: Ozon, Matthew, Tumashevich, Konstantin, Prisle, Nønne L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325007/
https://www.ncbi.nlm.nih.gov/pubmed/37326489
http://dx.doi.org/10.1107/S1600577523004150
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author Ozon, Matthew
Tumashevich, Konstantin
Prisle, Nønne L.
author_facet Ozon, Matthew
Tumashevich, Konstantin
Prisle, Nønne L.
author_sort Ozon, Matthew
collection PubMed
description The interpretation of X-ray photoelectron spectroscopy (XPS) data relies on measurement models that depend on several parameters, including the photoelectron attenuation length and X-ray photon flux. However, some of these parameters are not known, because they are not or cannot be measured. The unknown geometrical parameters can be lumped together in a multiplicative factor, the alignment parameter. This parameter characterizes the ability of the exciting light to interact with the sample. Unfortunately, the absolute value of the alignment parameter cannot be measured directly, in part because it depends on the measurement model. Instead, a proxy for the experimental alignment is often estimated, which is closely related to the alignment parameter. Here, a method for estimating the absolute value of the alignment parameter based on the raw XPS spectra (i.e. non-processed photoelectron counts), the geometry of the sample and the photoelectron attenuation length is presented. The proposed parameter estimation method enables the quantitative analysis of XPS spectra using a simplified measurement model. All computations can be executed within the open and free Julia language framework PROPHESY. To demonstrate feasibility, the alignment parameter estimation method is first tested on simulated data with known acquisition parameters. The method is then applied to experimental XPS data and a strong correlation between the estimated alignment parameter and the typically used alignment proxy is shown.
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spelling pubmed-103250072023-07-07 Quantitative alignment parameter estimation for analyzing X-ray photoelectron spectra Ozon, Matthew Tumashevich, Konstantin Prisle, Nønne L. J Synchrotron Radiat Research Papers The interpretation of X-ray photoelectron spectroscopy (XPS) data relies on measurement models that depend on several parameters, including the photoelectron attenuation length and X-ray photon flux. However, some of these parameters are not known, because they are not or cannot be measured. The unknown geometrical parameters can be lumped together in a multiplicative factor, the alignment parameter. This parameter characterizes the ability of the exciting light to interact with the sample. Unfortunately, the absolute value of the alignment parameter cannot be measured directly, in part because it depends on the measurement model. Instead, a proxy for the experimental alignment is often estimated, which is closely related to the alignment parameter. Here, a method for estimating the absolute value of the alignment parameter based on the raw XPS spectra (i.e. non-processed photoelectron counts), the geometry of the sample and the photoelectron attenuation length is presented. The proposed parameter estimation method enables the quantitative analysis of XPS spectra using a simplified measurement model. All computations can be executed within the open and free Julia language framework PROPHESY. To demonstrate feasibility, the alignment parameter estimation method is first tested on simulated data with known acquisition parameters. The method is then applied to experimental XPS data and a strong correlation between the estimated alignment parameter and the typically used alignment proxy is shown. International Union of Crystallography 2023-06-16 /pmc/articles/PMC10325007/ /pubmed/37326489 http://dx.doi.org/10.1107/S1600577523004150 Text en © Matthew Ozon et al. 2023 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Papers
Ozon, Matthew
Tumashevich, Konstantin
Prisle, Nønne L.
Quantitative alignment parameter estimation for analyzing X-ray photoelectron spectra
title Quantitative alignment parameter estimation for analyzing X-ray photoelectron spectra
title_full Quantitative alignment parameter estimation for analyzing X-ray photoelectron spectra
title_fullStr Quantitative alignment parameter estimation for analyzing X-ray photoelectron spectra
title_full_unstemmed Quantitative alignment parameter estimation for analyzing X-ray photoelectron spectra
title_short Quantitative alignment parameter estimation for analyzing X-ray photoelectron spectra
title_sort quantitative alignment parameter estimation for analyzing x-ray photoelectron spectra
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325007/
https://www.ncbi.nlm.nih.gov/pubmed/37326489
http://dx.doi.org/10.1107/S1600577523004150
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