An assessment of existing Klein-Nishina Monte Carlo sampling methods
Journal Article
·
· Nucl. Sci. Eng.; (United States)
OSTI ID:5374028
Several methods for sampling the Klein-Nishina distributions for scattered photon secondary energy are studied to determine an optimum sampling technique useful from 1 keV to 100 MeV. A commonly used approximate inverse method is evaluated for accuracy by analytically comparing the exact and approximate sampling distributions. This method, several rejection methods, and an exact direct sampling method are evaluated for computing speed on several different computers.
- Research Organization:
- Argonne National Laboratory, Applied Physics Division, 9700 South Cass Avenue, Argonne, Illinois 60439
- OSTI ID:
- 5374028
- Journal Information:
- Nucl. Sci. Eng.; (United States), Journal Name: Nucl. Sci. Eng.; (United States) Vol. 83:3; ISSN NSENA
- Country of Publication:
- United States
- Language:
- English
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