1985
DOI: 10.1002/sia.740070607
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Quantitative analysis of complex Auger spectra by least‐squares fitting with prefiltering of spectra

Abstract: The 'filter-fit' method, which was originaHy developed for the analysis of energy dispersive x-ray data, has been applied to the quantitative analysis of Auger spectra for the first time. It is a digital peak deconvolution technique in the presence of the continuum background using least-squares fitting calculations, including the prefiltering of spectra. To evaluate this method, composite-known spectra digitally composed of Cr, 0 and Ni standard spectra were prepared. For the deconvolution of Cr and 0 peaks u… Show more

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Cited by 14 publications
(2 citation statements)
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“…Thus, the overlapped peaks in the N(E) spectra were resolved into the nitrogen peak and the titanium peak using the least-squares fitting (LSF) procedure after prefiltering of the spectra, developed by Sekine et al 9,10 The AES signal of Al KLL was also acquired to determine the position of the interface between the film and the substrate, where an increase in aluminium concentration in the depth direction might be detected.…”
Section: Composition (Ti/n Ratio)mentioning
confidence: 99%
“…Thus, the overlapped peaks in the N(E) spectra were resolved into the nitrogen peak and the titanium peak using the least-squares fitting (LSF) procedure after prefiltering of the spectra, developed by Sekine et al 9,10 The AES signal of Al KLL was also acquired to determine the position of the interface between the film and the substrate, where an increase in aluminium concentration in the depth direction might be detected.…”
Section: Composition (Ti/n Ratio)mentioning
confidence: 99%
“…The N(E) distribution, EN(E) distribution, or the areas under Auger peaks over specified energy ranges can be obtained directly using these techniques. 7.10 Digital Filtration (19,20) -1n a method borrowed from energydispersive X-ray spectroscopy, a "tophat" digital frequency filter is applied to an Auger spectrum to suppress the slowly-varying background continuum, while the more rapidly varying Auger peaks remain unaffected.…”
Section: Deconvolution (5 6 7 Kmentioning
confidence: 99%