Multivariate statistical analysis of spectrum lines and images

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Description

Recent developments in instrumentation and computing power have greatly improved the potential for quantitative imaging and analysis. A number of techniques are being explored for the purpose of analyzing these large data sets. Multivariate statistical analysis (MSA) provides a method for analyzing the raw data set as a whole. The information that can be extracted by MSA from a series of spectra is illustrated by an application to a TEM spectrum-line acquired with a Gatan Imaging Filter (GIF) at the Co-L edge for a phase boundary between the periclase- (CoO) and spinel- (Co{sub 3}O{sub 4}) structured phases of cobalt oxide. ... continued below

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3 p.

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Anderson, I.M. & Bentley, J. April 1, 1997.

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Description

Recent developments in instrumentation and computing power have greatly improved the potential for quantitative imaging and analysis. A number of techniques are being explored for the purpose of analyzing these large data sets. Multivariate statistical analysis (MSA) provides a method for analyzing the raw data set as a whole. The information that can be extracted by MSA from a series of spectra is illustrated by an application to a TEM spectrum-line acquired with a Gatan Imaging Filter (GIF) at the Co-L edge for a phase boundary between the periclase- (CoO) and spinel- (Co{sub 3}O{sub 4}) structured phases of cobalt oxide. A series of 64 spectra, each of 512 channels, has been analyzed with MSA. The following MSA information is given: (1) logarithmic plot of the information content of the MSA-identified principle components of the series of spectra; (2) the spectrum line of the Co-L edge acquired with the GIF; (3) the first component of the variation; (4) the amplitude of the first component in each spectrum of raw data; (5) a second component; and (6) its amplitudes.

Physical Description

3 p.

Notes

OSTI as DE97005143

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  • Microscopy and Microanalysis `97, Cleveland, OH (United States), 10-14 Aug 1997

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  • Other: DE97005143
  • Report No.: CONF-970834--13
  • Grant Number: AC05-96OR22464
  • DOI: 10.2172/505348 | External Link
  • Office of Scientific & Technical Information Report Number: 505348
  • Archival Resource Key: ark:/67531/metadc697403

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Office of Scientific & Technical Information Technical Reports

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Creation Date

  • April 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

Description Last Updated

  • Jan. 19, 2016, 8:23 p.m.

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Anderson, I.M. & Bentley, J. Multivariate statistical analysis of spectrum lines and images, report, April 1, 1997; Tennessee. (digital.library.unt.edu/ark:/67531/metadc697403/: accessed December 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.