The Intelligent Random Number Technique in MCNP

1 November 1988

journal article
research article
Published by Taylor & Francis in Nuclear Science and Engineering

Vol. 100 (3) , 248-254
https://doi.org/10.13182/nse88-a29037

Abstract

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.

Keywords

RANDOM NUMBER
MCNP
INTELLIGENT
PENETRATION
STREAMING
MONTE CARLO
LEARNING AND BIASING
TECHNIQUE

This publication has 2 references indexed in Scilit:

A Monte Carlo Learning/Biasing Experiment with Intelligent Random Numbers
Nuclear Science and Engineering, 1986
Importance Estimation in Forward Monte Carlo Calculations
Nuclear Technology - Fusion, 1984