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Use of Cm and cross product coefficients in influence coefficient algorithms for quantitative XRF analysis by Bruno A. R. Vrebos; James P. Willis is a Physics and Astronomy article available to read on EtoBox.
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## Abstract The use of influence coefficients in algorithms for the correction of matrix effects in quantitative XRF analysis is discussed. In principle, multi‐element influence coefficients should be used. In practice, many algorithms are based on the use of binary influence coefficients, even when dealing with multi‐component specimens. This involves approximations which may affect the accuracy of the analysis. It is shown that the effects of this approximation can be reduced, provided that the binary influence coefficients are calculated for the correct composition (this involves the use of __C__~__m__~, where __C__~__m__~ is the sum of the concentrations of the matrix elements, i.e. __C__~__m__~ = 1 − __C__~__i__~) and by applying cross‐product coefficients. Copyright © 2004 John Wiley & Sons, Ltd.
Who reads Use of Cm and cross product coefficients in influence coefficient algorithms for quantitative XRF analysis?
It is typically read by researchers, students, and practitioners in Physics and Astronomy.
- Author
- Bruno A. R. Vrebos; James P. Willis
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0049-8246)
- Published
- 2004
- Language
- EN
- Field
- Physics and Astronomy (Physical Sciences)