Abstract
A multivariate statistical analysis method has been used to examine the information content of a series of EDX spectra acquired using a FEG‐STEM recorded across a segregated grain boundary in a ferritic steel. The spectra have been factored into a set of orthogonal information components (eigenspectra), each of which corresponds to an independent source of information. Two meaningful eigenspectra are identified: one is related to the segregation of P and Cr and the other to a combination of self‐absorption and coherent bremsstrahlung. Spectra are reconstructed from the meaningful eigenspectra to reduce noise and improve the sensitivity for detection of trace element segregation.
Dates
Type | When |
---|---|
Created | 21 years, 9 months ago (Nov. 2, 2003, 11:37 a.m.) |
Deposited | 1 year, 9 months ago (Oct. 26, 2023, 9:16 p.m.) |
Indexed | 4 months ago (April 16, 2025, 7:06 a.m.) |
Issued | 28 years, 8 months ago (Dec. 1, 1996) |
Published | 28 years, 8 months ago (Dec. 1, 1996) |
Published Online | 21 years, 9 months ago (Oct. 31, 2003) |
Published Print | 28 years, 8 months ago (Dec. 1, 1996) |
@article{Titchmarsh_1996, title={MULTIVARIATE STATISTICAL ANALYSIS OF FEG‐STEM EDX SPECTRA}, volume={184}, ISSN={1365-2818}, url={http://dx.doi.org/10.1046/j.1365-2818.1996.1400698.x}, DOI={10.1046/j.1365-2818.1996.1400698.x}, number={3}, journal={Journal of Microscopy}, publisher={Wiley}, author={Titchmarsh, J. M. and Dumbill, S.}, year={1996}, month=dec, pages={195–207} }