作者: A. M. Yacout , K. Verghese , R. P. Gardner
关键词: Cumulative distribution function 、 Computational physics 、 Space (mathematics) 、 Incoherent scatter 、 Interpolation 、 Scattering 、 Monte Carlo method 、 Optics 、 Reduction (complexity) 、 Physics 、 Variable (mathematics) 、 Spectroscopy
摘要: In Monte Carlo simulation of energy-dispersive x-ray fluorescence analysers, one must account for both scattering effects and photoelectric absorption. To access the required random values differential coherent incoherent angles, two-variable cubic spline representations appropriate cumulative distribution functions are developed their use is demonstrated. this approach angle taken to be dependent variable while two independent variables energy normalized cross-sections. Cubic coefficients elements from sodium nickel have been obtained energies 1 150 keV all angles scattering. Compared with commonly used method numerically integrating tabular cross-sections produce a table subsequent interpolation, gives 90% reduction in storage space 25–80% amount computer time equal accuracy.