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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]

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 P 1VV/O 45VV, 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:
 [1];  [1];  [1];  [1]
  1. 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:
Journal Article: 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. doi: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. doi:10.1116/1.5021587.
@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}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on March 29, 2019
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