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

Published online by Cambridge University Press:  01 March 2012

Robin P. Gardner  and
Weijun Guo
Robin P. Gardner*
Affiliation:
Center for Engineering Applications of Radioisotopes (CEAR), Nuclear Engineering Department, PO Box 7909, North Carolina State University, Raleigh, North Carolina 27695
Weijun Guo
Affiliation:
Center for Engineering Applications of Radioisotopes (CEAR), Nuclear Engineering Department, PO Box 7909, North Carolina State University, Raleigh, North Carolina 27695
*
a)Electronic mail: [email protected]
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Abstract

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 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 interface 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.

Type
XRD Instrumentation and Techniques
Information
Powder Diffraction , Volume 20 , Issue 2 , June 2005 , pp. 146 - 152
Copyright
Copyright © Cambridge University Press 2005

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