Status of the Monte Carlo library least-squares (MCLLS) approach for non-linear radiation analyzer problems
作者： Robin P. Gardner , Libai Xu
DOI: 10.1016/J.RADPHYSCHEM.2009.04.023
关键词: Monte Carlo method 、 Analytical chemistry 、 Distortion 、 Neutron capture 、 Computational physics 、 Spectrum analyzer 、 Coincidence 、 Neutron activation analysis 、 Physics 、 Least squares 、 Detector
摘要: Abstract The Center for Engineering Applications of Radioisotopes (CEAR) has been working over a decade on the Monte Carlo library least-squares (MCLLS) approach treating non-linear radiation analyzer problems including: (1) prompt gamma-ray neutron activation analysis (PGNAA) bulk analysis, (2) energy-dispersive X-ray fluorescence (EDXRF) analyzers, and (3) carbon/oxygen tool in oil well logging. This essentially consists using simulation to generate libraries all elements be analyzed plus any other required background libraries. These are then used linear (LLS) with unknown sample spectra analyze sample. Iterations this until LLS values agree composition current status methods (and topics) necessary implement MCLLS is reported. includes: codes such as CEARXRF, CEARCPG, CEARCO forward generation elemental calculation fluorescence, capture tools; correction spectral pulse pile-up (PPU) distortion by code CEARIPPU; detector response functions (DRF) detectors responses pulse-height spectra; (4) use differential operator (DO) technique make iterations practical. In addition commonly single spectra, coincidence or even two-dimensional (2-D) can also may provide more accurate results.
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