A quasi-deterministic approximation of the Monte Carlo importance function
Journal Article
·
· Nuclear Science and Engineering; (United States)
OSTI ID:6101316
- Los Alamos National Lab., Radiation Transport Group, Los Alamos, NM (US)
This paper reports on the basic quasi-deterministic method which provides an approximate importance function in arbitrary user-defined phase-space regions. The approximation is twofold. first, each region is averaged over and becomes a discrete state. Second, Monte-Carlo methods estimate transport probabilities and scores between the discrete states. These two approximations lead to a set of linear equations for the state importances that can be deterministically solved. This new method is compared against the standard MCNP importance generator. A generalization of the method provides an importance function in the physical and random number spaces that may be useful for random number biasing techniques.
- OSTI ID:
- 6101316
- Journal Information:
- Nuclear Science and Engineering; (United States), Journal Name: Nuclear Science and Engineering; (United States) Vol. 104:4; ISSN 0029-5639; ISSN NSENA
- Country of Publication:
- United States
- Language:
- English
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