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

https://mdr.nims.go.jp/datasets/cec866f0-84a5-4339-ab3d-bea1ce3c3740

## Files

- [Murakami_JES245_147003_2020_Preprint_20200210.pdf](https://mdr.nims.go.jp/filesets/69efb1bb-3dc8-424f-a545-4a6c1f71ba6f/download) ([Detail](https://mdr.nims.go.jp/filesets/69efb1bb-3dc8-424f-a545-4a6c1f71ba6f.md))

## Id

cec866f0-84a5-4339-ab3d-bea1ce3c3740

## Local identifier

identifier: mdr-schema-yaml/db78tg327

## Visibility

open_to_public

## State

published

## Created at

2022-06-24T10:21:18.102110Z

## Updated at

2024-01-05T13:13:27.175857Z

## Published at

2022-06-24T10:21:18.232033Z

## Doi

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

## First published url

https://doi.org/10.1016/j.elspec.2020.147003

## Date published

2020-10-03

## Recorded date published

2020-12

## Resource type

journal_article

## Manuscript type

na

## Collection



## Title

- title: Development of multiple core-level XPS spectra decomposition method based
    on the Bayesian information criterion
  title_type: original
  lang: en

## Description

- description: 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.
  description_type: abstract
  lang: en

## Creator

- name: Shinotsuka Hiroshi
  role: author
  orcid: https://orcid.org/0000-0001-5147-1396
- name: Nagata, Kenji
  role: author
  orcid: https://orcid.org/0000-0001-9894-4461
- name: Murakami, Ryo
  role: author
- name: Tanaka, Hiromi
  role: author
- name: Shouno, Hayaru
  role: author
- name: Yoshikawa, Hideki
  role: author
  orcid: https://orcid.org/0000-0002-7389-8865

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## Keyword

- subject: Automatic spectrum analysis
  schema: not_defined
- subject: Bayesian information criterion
  schema: not_defined
- subject: Multiple core level spectra
  schema: not_defined
- subject: X-ray photoelectron spectroscopy
  schema: not_defined

## Rights

- description: Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
  identifier: https://creativecommons.org/licenses/by-nc-nd/4.0/

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## Fileset

- id: 69efb1bb-3dc8-424f-a545-4a6c1f71ba6f
  filename: Murakami_JES245_147003_2020_Preprint_20200210.pdf
  content_type: application/pdf
  size: 2084140
  md5: 58895a78e8a9d9db6c6dc1685cf06385

## Thumbnail

fileset_id: 69efb1bb-3dc8-424f-a545-4a6c1f71ba6f
filename: Murakami_JES245_147003_2020_Preprint_20200210.pdf