Monte Carlo eigenfunction iteration strategies that are and are not fair games (LWBR Development Program)
The RECAP-5 eigenfunction iteration strategy is proved to be a fair game for any problem for which the analytic neutron transport equation possesses a unique fundamental mode eigenfunction. This strategy is designed so that initial iterations, which do not represent a converged source, are combined equally with other iterations to produce results more accurate than if these initial iterations were omitted. The stragegy is in two parts. The gross shape portion employs a correction source per gross volume per iteration such that if these correction sources are accumulated, the procedure will closely resemble the analytic power method. The detailed shape portion employs a sampling procedure which obtains starting sites within a gross volume from the accumulation of all progeny sites within that volume. Both parts of the strategy are used simultaneously and are non-Markovian. Examples are given of iteration strategies, i.e., certain analogs of the analytic power method, which are not fair games. (NSA 24: 5565)
- Research Organization:
- Bettis Atomic Power Lab., Pittsburgh, PA (USA)
- DOE Contract Number:
- AT(11-1)-GEN-14
- OSTI ID:
- 6720467
- Report Number(s):
- WAPD-TM-878
- Country of Publication:
- United States
- Language:
- English
Similar Records
A game theoretic investigation of deception in network security
Normality of Monte Carlo criticality eigenfunction decomposition coefficients
Related Subjects
210500* -- Power Reactors
Breeding
BREEDER REACTORS
COMPUTER CODES
EIGENFUNCTIONS
FUNCTIONS
ITERATIVE METHODS
KINETICS
LWBR TYPE REACTORS
MONTE CARLO METHOD
NEUTRON TRANSPORT THEORY
REACTOR KINETICS
REACTORS
THERMAL REACTORS
TRANSPORT THEORY
WATER COOLED REACTORS
WATER MODERATED REACTORS