Extracting spectral albedo from NOAA-9 AVHRR multiple view data using an atmospheric correction procedure and an expert system

The chemical inhomogenities in modern materials such as fibers, phases and inclusions, often have diameters in the region of one micrometer. Using electron microbeam analysis for the determination of the element concentrations one has to know the smallest possible diameter of such regions for a given accuracy of the quantitative analysis.In th is paper the correction procedure for the quantitative electron microbeam analysis is extended to a spacial problem to determine the smallest possible measurements of a cylindrical particle P of high D (depth resolution) and diameter L (lateral resolution) embeded in a matrix M and which has to be analysed quantitative with the accuracy q. The mathematical accounts lead to the following form of the characteristic x-ray intens ity of the element i of a particle P embeded in the matrix M in relation to the intensity of a standard S

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Bence-albee after 25 years: A new superior α-factor correction procedure for the quantitative analysis of oxides and silicates

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100133357 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1744-1745

Author(s):

John T. Armstrong

Keyword(s):

Quantitative Analysis ◽

Electron Microprobe ◽

Binary Systems ◽

Correction Procedure ◽

Geological Samples ◽

The Past ◽

Large Matrix ◽

Computational Speed ◽

Microprobe Data ◽

Geological Sciences

One of the most cited papers in the geological sciences has been that of Albee and Bence on the use of empirical " α -factors" to correct quantitative electron microprobe data. During the past 25 years this method has remained the most commonly used correction for geological samples, despite the facts that few investigators have actually determined empirical α-factors, but instead employ tables of calculated α-factors using one of the conventional "ZAF" correction programs; a number of investigators have shown that the assumption that an α-factor is constant in binary systems where there are large matrix corrections is incorrect (e.g, 2-3); and the procedure’s desirability in terms of program size and computational speed is much less important today because of developments in computing capabilities. The question thus exists whether it is time to honorably retire the Bence-Albee procedure and turn to more modern, robust correction methods. This paper proposes that, although it is perhaps time to retire the original Bence-Albee procedure, it should be replaced by a similar method based on compositiondependent polynomial α-factor expressions.

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Network switching and voltage evaluation using an expert system in ac railway systems

IEE Proceedings B Electric Power Applications ◽

10.1049/ip-b.1992.0001 ◽

1992 ◽

Vol 139 (1) ◽

pp. 1 ◽

Cited By ~ 3

Author(s):

C.S. Chang ◽

T.T. Chan ◽

K.K. Lee

Keyword(s):

Expert System ◽

Railway Systems

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