Integral Criticality Estimators in MCATK

Nolen, Steven Douglas¹  Adams, Terry R.¹  Sweezy, Jeremy Ed¹ 

[1] Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

关键词: Monte Carlo;    particle transport;    criticality;    eigenvalue;    alpha-k iteration method;    MCATK;   

DOI  :  10.2172/1257122
RP-ID  :  LA-UR--16-24139
PID  :  OSTI ID: 1257122

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The Monte Carlo Application ToolKit (MCATK) is a component-based software toolset for delivering customized particle transport solutions using the Monte Carlo method. Currently under development in the XCP Monte Carlo group at Los Alamos National Laboratory, the toolkit has the ability to estimate the ke f f and a eigenvalues for static geometries. This paper presents a description of the estimators and variance reduction techniques available in the toolkit and includes a preview of those slated for future releases. Along with the description of the underlying algorithms is a description of the available user inputs for controlling the iterations. The paper concludes with a comparison of the MCATK results with those provided by analytic solutions. The results match within expected statistical uncertainties and demonstrate MCATK???s usefulness in estimating these important quantities.