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Development of a Monte Carlo—Library Least-Squares code package for the EDXRF inverse problem

Robin P. Gardner, Weijun Guo
2005 Powder Diffraction  

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The Monte Carlo -Library Least-Squares (MCLLS) approach has now been developed, implemented, and tested for solving the inverse problem of EDXRF sample analysis. It consists of a linear library least-squares (LLS) code and a comprehensive Monte Carlo code named CEARXRF that is capable of calculating the unknown sample spectrum, all the elemental library spectra in the sample, and the differential operators for each library spectrum with respect to each element. Two codes with Graphical User
more » ... rface (GUI) have been designed to implement the MCLLS approach and benchmark results are presented for the two stainless steel samples; SS304 and SS316. The results are accurate, the system is easy to use, and all indications are that this approach will be very useful for the EDXRF practitioner.
doi:10.1154/1.1913722 fatcat:c2g427uhofguppfom2gydd3lly
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Robin P. Gardner, Weijun Guo. "Development of a Monte Carlo—Library Least-Squares code package for the EDXRF inverse problem." Powder Diffraction 20.02 (2005) 146-152