CHEMICAL CHARACTERIZATION FROM CARBON AUGER-SPECTRA BY APPLICATION OF PATTERN-RECOGNITION AND FACTOR-ANALYSIS

The feasibility of using pattern recognition and factor analysis to extract chemical state information from Auger line shapes was explored. These data analysis techniques were applied to x-ray-excited carbon Auger spectra. It was found that Auger line shapes could be described by using the amplitudes of selected frequencies from the Fourier-transformed Auger spectrum as variables during the computations. Factors analysis was found to predict the length of the alkyl chain in a series of poly(alkyl methacrylate) spectra and also indicated a chemical state difference in carbonaceous residues on sheet steels exhibiting good corrosion resistance and poor corrosion resistance.