Biasing parameter limits for synergistic Monte Carlo in deep-penetration calculations
Journal Article
·
· Nucl. Sci. Eng.; (United States)
OSTI ID:5570616
The Monte Carlo scheme for deep-penetration problems, where both transport and collision kernels are biased synergistically, leads to minimum variance. Obtaining a proper biasing parameter is still a problem. For certain values of biasing parameter, the variance could be infinite even in a very simple problem. Using moment equations of statistical error prediction, a critical biasing parameter is obtained. A biasing parameter greater than the critical parameter may lead to an unbounded second moment in a simple one-dimensional homogeneous shield problem. A prescription is provided that may help to avoid a poor selection of the biasing parameter.
- Research Organization:
- Bhabha Atomic Research Center, Bombay 400 085
- OSTI ID:
- 5570616
- Journal Information:
- Nucl. Sci. Eng.; (United States), Journal Name: Nucl. Sci. Eng.; (United States) Vol. 92:4; ISSN NSENA
- Country of Publication:
- United States
- Language:
- English
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