Article Development of multiple core-level XPS spectra decomposition method based on the Bayesian information criterion

Shinotsuka Hiroshi SAMURAI ORCID ; Nagata, Kenji SAMURAI ORCID ; Murakami, Ryo ; Tanaka, Hiromi ; Shouno, Hayaru ; Yoshikawa, Hideki SAMURAI ORCID

Collection

Citation
Shinotsuka Hiroshi, Nagata, Kenji, Murakami, Ryo, Tanaka, Hiromi, Shouno, Hayaru, Yoshikawa, Hideki. Development of multiple core-level XPS spectra decomposition method based on the Bayesian information criterion. https://doi.org/10.1016/j.elspec.2020.147003
SAMURAI

Description:

(abstract)

There is a need to develop an automatic spectral analysis method integrated with reference database as the reference database builds up. At the time of spectral analysis, the compound ratio is often estimated by comparing a measured spectrum with reference spectra of known single-phase compound samples. However, it is difficult to automate all processes, and there is the problem that the operator’s arbitrariness is included in the analysis results. The present paper proposes a method that analyzes the X-ray photoelectron spectroscopy (XPS) spectrum of a multiphase compound using modeled reference XPS spectra. The proposed method estimates the component ratio of compounds in a fully automatic manner. To use reference spectra measured by different devices or cited from the literatures for spectra analysis, reference spectra are represented by a mathematical function using a peak separation method based on the Bayesian information criterion (BIC). In particular, it is clarified that the estimation accuracy is improved by simultaneously analyzing multiple core-level spectra rather than by independently analyzing only single core-level spectrum.

Rights:

Keyword: Automatic spectrum analysis, Bayesian information criterion, Multiple core level spectra, X-ray photoelectron spectroscopy

Date published: 2020-10-03

Publisher:

Journal:

Funding:

Manuscript type: Not a journal article

MDR DOI: https://doi.org/10.48505/nims.3460

First published URL: https://doi.org/10.1016/j.elspec.2020.147003

Related item:

Other identifier(s):

Contact agent:

Updated at: 2024-01-05 22:13:27 +0900

Published on MDR: 2022-06-24 19:21:18 +0900

Filename Size
Filename Murakami_JES245_147003_2020_Preprint_20200210.pdf (Thumbnail)
application/pdf
Size 1.99 MB Detail