Uncertainty Propagation with Fast Monte Carlo Techniques

被引：18

作者：

Rochman, D. ^{[1
]}

van der Marck, S. C. ^{[1
]}

Koning, A. J. ^{[1
]}

Sjostrand, H. ^{[2
]}

Zwermann, W. ^{[3
]}

机构：

[1] Nucl Res & Consultancy Grp NRG, Petten, Netherlands

[2] Uppsala Univ, Dept Phys & Astron, Uppsala, Sweden

[3] Gesell Anlagen & Reaktorsicherheit GRS mbH Forsch, Garching, Germany

来源：

NUCLEAR DATA SHEETS | 2014年 / 118卷

关键词：

D O I：

10.1016/j.nds.2014.04.082

中图分类号：

O57 [原子核物理学、高能物理学];

学科分类号：

070202 ;

摘要：

Two new and faster Monte Carlo methods for the propagation of nuclear data uncertainties in Monte Carlo nuclear simulations are presented (the "Fast TMC" and "Fast GRS" methods). They are addressing the main drawback of the original Total Monte Carlo method (TMC), namely the necessary large time multiplication factor compared to a single calculation. With these new methods, Monte Carlo simulations can now be accompanied with uncertainty propagation (other than statistical), with small additional calculation time. The new methods are presented and compared with the TMC methods for criticality benchmarks.

引用

页码：367 / 369

页数：3

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