Published November 1988
| Version v1
Journal article
The intelligent random number technique in MCNP
Description
A Monte Carlo learning and biasing technique that does its learning and biasing in the random number space rather than in the physical phase-space has been implemented in the Monte Carlo computer code MCNP. The technique was successfully applied on a simple penetration problem, and the results are given. The technique was also applied to a streaming problem with only marginal success
Additional details
Publishing Information
- Journal Title
- Nuclear Science and Engineering
- Journal Volume
- 100
- Journal Issue
- 3
- Series
- Nucl. Sci. Eng.
- Journal Page Range
- 248-254
- ISSN
- 0029-5639
- CODEN
- NSENA
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 20057136
- Subject category
- S22: GENERAL STUDIES OF NUCLEAR REACTORS;
- Descriptors DEI
- COMPUTER CODES; M CODES; MONTE CARLO METHOD; RADIATION STREAMING