THE INTELLIGENT RANDOM NUMBER TECHNIQUE IN MCNP

被引：8

作者：

BOOTH, TE

机构：

[1] Los Alamos Natl Lab, United States

来源：

NUCLEAR SCIENCE AND ENGINEERING | 1988年 / 100卷 / 03期

关键词：

Computer Software - Probability--Random Processes;

D O I：

10.13182/NSE88-A29037

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

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.

引用

页码：248 / 254

页数：7