Abstract
Well-designed Monte Carlo simulation programs provide the most accurate means of predicting the response of radiation measurement systems. Such simulations can replace large sets of experiments for the purpose of design optimization, calibration and analysis of sensitivity to measurement interferences. The use of detector response functions can extend Monte Carlo simulation to systems involving spectral responses. Compared to the use of general-purpose Monte Carlo codes, our work on developing specific-purpose codes has shown various advantages: greater “user-friendlines”, use of an optimum set of variance reduction methods, superior code performance in most cases, and better understanding of the basic physics of the problem. The specific-purpose codes are relatively easy to develop using modules that we have developed for geometry, cross sections, detector response functions, standard as well as new and/or improved variance reduction schemes, etc. The measurement applications for which we have designed and used specific-purpose Monte Carlo simulation codes in recent years include on-line capture gamma-ray analysis of coal; X-ray fluorescence analyzers; nuclear tools for oil-well logging by neutron moderation, pulsed neutron lifetime analysis and by gamma-ray backscatter; and industrial tomographic scanners.
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