X-Ray Spectrometry · 1984 · 68 citations · 6 references
Numerical AnalysisEngineeringMeasurementEducationX-ray FluorescenceNumerical ComputationMatrix MethodInstrumentationPart 1Xrf Analysis 2—PracticalFundamental AlgorithmInverse ProblemsComputer ScienceMatrix AnalysisSignal ProcessingNew FormalismRobust ModelingXrf AnalysisNumerical Methods
Abstract In Part 1, a new formalism was proposed to correct with accuracy the matrix effects in XRF analysis. In this paper it is shown how to adapt this new formalism to practical situations. From an estimate of composition calculated by the Claisse–Quintin algorithm and an appropriate calibration, the new algorithm is used to refine the estimated composition for greater accuracy. This last approach is equivalent to the ‘fundamental parameters’ method but is presented in a simpler version adaptable to any mini‐computer.
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