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Monte Carlo nonuniform sampling technique applied to the Klein-Nishina probability density function

Journal Article · · Nucl. Sci. Eng.; (United States)
OSTI ID:7140923

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 was applied to the Klein--Nishina probability density function, and improved efficiencies were obtained over the uniform sampling method of up to 100 percent at high gamma-ray energies and 10 to 60 percent improved efficiencies in the energy range from 0.3 to 1.5 MeV, respectively.

Research Organization:
Ben Gurion Univ. of the Negev, Beersheva, Israel
OSTI ID:
7140923
Journal Information:
Nucl. Sci. Eng.; (United States), Journal Name: Nucl. Sci. Eng.; (United States) Vol. 60:4; ISSN NSENA
Country of Publication:
United States
Language:
English