Variance reduction methods applied to deep-penetration problems
All deep-penetration Monte Carlo calculations require variance reduction methods. Before beginning with a detailed approach to these methods, several general comments concerning deep-penetration calculations by Monte Carlo, the associated variance reduction, and the similarities and differences of these with regard to non-deep-penetration problems will be addressed. The experienced practitioner of Monte Carlo methods will easily find exceptions to any of these generalities, but it is felt that these comments will aid the novice in understanding some of the basic ideas and nomenclature. Also, from a practical point of view, the discussions and developments presented are oriented toward use of the computer codes which are presented in segments of this Monte Carlo course.
- Research Organization:
- Oak Ridge National Lab., TN (USA)
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 6377987
- Report Number(s):
- CONF-8410170-2; ON: DE85002560
- Resource Relation:
- Conference: Monte Carlo methods in nuclear reactor analysis, Ispra, Italy, 8 Oct 1984; Other Information: Portions are illegible in microfiche products
- Country of Publication:
- United States
- Language:
- English
Similar Records
Analytical results of variance reduction characteristics of biased Monte Carlo for deep-penetration problems
Implementation of hybrid variance reduction methods in a multi group Monte Carlo code for deep shielding problems