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Quantitative Auger electron spectroscopic analysis of carbides,nitrides and carbonitrides
Institution:1. Univ. Grenoble-Alpes, CEA-LETI, Grenoble 38000, France;2. Univ. Grenoble-Alpes, CNRS, CEA-LETI, Grenoble INP, LTM, Grenoble F-38054, France;3. STMicroelectronics, Crolles Cedex 38920, France;4. Laboratory of Catalysis, Polymerisation, Processes and Materials, C2P2 UMR 5128 CNRS-UCB Lyon 1-CPE Lyon, Université de Lyon, Institut de Chimie de Lyon, CPE Lyon 43 Bvd du 11 Novembre 1918, Villeurbanne F-69616, France;1. Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, F-63000 Clermont-Ferrand, France;2. Aix Marseille Université, CNRS, CINaM UMR 7325, 13288 Marseille, France;1. Université Clermont Auvergne, CNRS,Clermont Auvergne INP, Institut Pascal, F-63000 Clermont-Ferrand, France;2. Univ. Grenoble Alpes, CNRS, CEA/LETI-Minatec, Grenoble INP, LTM, 38000 Grenoble, France;3. Physique de la matière condensée, Ecole Polytechnique, CNRS, Université Paris Saclay, 91128 Palaiseau, France;1. Łukasiewicz Research Network – PORT Polish Center for Technology Development, Stabłowicka 147, Wrocław, Poland;2. Institute of Experimental Physics, University of Wrocław, Pl. M. Borna 9, Wrocław, Poland;3. Institute of Low Temperature and Structure Research, Polish Academy of Sciences, Ul. Okólna 2, 50-422, Wrocław, Poland
Abstract:A novel method for the quantitative evaluation of Auger electron spectra based on peak areas is presented. Sample and reference spectra in integral mode are filtered by an area conserving digital filter. This transforms the peak shapes influenced by chemical effects into standard peak shapes. After filtering a linear combination of reference spectra, differentiated spectra accounting for peak shifts and some low order polynomials to account for variations in the background is fitted to the sample spectrum by a least squares method. The need to approximate the spectrum of the secondary electron background explicitly for direct calculation of peak areas is thus eliminated. Filters of different widths are applied to reduce errors by chemical effects. The composition of the sample is computed from the composition of the reference samples and the coefficients obtained from the fit.To demonstrate the validity of this technique it has been applied to both, Gaussian model peaks and spectra of titanium carbonitrides. A further test on an alloy series is under investigation. The results show that the method works as predicted and gives accurate quantification.
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