Application of linear least squares to the analysis of Auger electron spectroscopy depth profiles of plutonium oxides [Application of linear least squares to the analysis of AES depth profiles of plutonium oxides]
Abstract
In this paper, the application of the linear least squares (LLS) methodology allows for quantitative determination of variation in material composition with depth. LLS fits were applied to decompose and enhance the interpretation of spectra obtained by Auger electron spectroscopy during depth profiles of oxidized plutonium surfaces. By means of the LLS algorithm, chemical state assignments of the Pu P1VV/O45VV, O KLL, and C KLL Auger transitions were determined and the existence of a subsurface oxycarbide layer was identified, with confirmation of the oxide and metal components provided from comparison to previous measurements of standard samples.
- Authors:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1468913
- Alternate Identifier(s):
- OSTI ID: 1430382
- Report Number(s):
- LLNL-JRNL-744017
Journal ID: ISSN 0734-2101; 898807
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Vacuum Science and Technology. A, Vacuum, Surfaces and Films
- Additional Journal Information:
- Journal Volume: 36; Journal Issue: 3; Journal ID: ISSN 0734-2101
- Publisher:
- American Vacuum Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Donald, Scott B., Stanford, Jeff A., McLean, William, and Nelson, Art J. Application of linear least squares to the analysis of Auger electron spectroscopy depth profiles of plutonium oxides [Application of linear least squares to the analysis of AES depth profiles of plutonium oxides]. United States: N. p., 2018.
Web. doi:10.1116/1.5021587.
Donald, Scott B., Stanford, Jeff A., McLean, William, & Nelson, Art J. Application of linear least squares to the analysis of Auger electron spectroscopy depth profiles of plutonium oxides [Application of linear least squares to the analysis of AES depth profiles of plutonium oxides]. United States. https://doi.org/10.1116/1.5021587
Donald, Scott B., Stanford, Jeff A., McLean, William, and Nelson, Art J. Thu .
"Application of linear least squares to the analysis of Auger electron spectroscopy depth profiles of plutonium oxides [Application of linear least squares to the analysis of AES depth profiles of plutonium oxides]". United States. https://doi.org/10.1116/1.5021587. https://www.osti.gov/servlets/purl/1468913.
@article{osti_1468913,
title = {Application of linear least squares to the analysis of Auger electron spectroscopy depth profiles of plutonium oxides [Application of linear least squares to the analysis of AES depth profiles of plutonium oxides]},
author = {Donald, Scott B. and Stanford, Jeff A. and McLean, William and Nelson, Art J.},
abstractNote = {In this paper, the application of the linear least squares (LLS) methodology allows for quantitative determination of variation in material composition with depth. LLS fits were applied to decompose and enhance the interpretation of spectra obtained by Auger electron spectroscopy during depth profiles of oxidized plutonium surfaces. By means of the LLS algorithm, chemical state assignments of the Pu P1VV/O45VV, O KLL, and C KLL Auger transitions were determined and the existence of a subsurface oxycarbide layer was identified, with confirmation of the oxide and metal components provided from comparison to previous measurements of standard samples.},
doi = {10.1116/1.5021587},
journal = {Journal of Vacuum Science and Technology. A, Vacuum, Surfaces and Films},
number = 3,
volume = 36,
place = {United States},
year = {Thu Mar 29 00:00:00 EDT 2018},
month = {Thu Mar 29 00:00:00 EDT 2018}
}
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