MONTE CARLO NONUNIFORM SAMPLING TECHNIQUE APPLIED TO THE KLEIN-NISHINA PROBABILITY DENSITY FUNCTION.

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5 Scopus citations

Abstract

The Monte Carlo generalized rejection technique provides a continuous passage from the inverse equation sampling method to the uniform sampling rejection method. It is well known that the nonuniform rejection method can be used to achieve very significant increases in sampling efficiency. The nonuniform rejection method has been applied to the Klein-Nishina Probability Density Function and have obtained improved efficiencies over the uniform sampling method of up to 100% at high gamma-ray energies and 10 to 60% improved efficiencies in the energy range from 0. 3 to 1. 5 MeV, respectively.

Original languageEnglish
Pages (from-to)461-482
Number of pages22
JournalNuclear Science and Engineering
Volume60
Issue number4
DOIs
StatePublished - 1 Jan 1976

ASJC Scopus subject areas

  • Nuclear Energy and Engineering

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