...
首页> 外文期刊>Transactions of the American nuclear society >Underestimation of Statistical Uncertainty of Monte Carlo Method with Non-Analog of Fission Source Sampling
【24h】

Underestimation of Statistical Uncertainty of Monte Carlo Method with Non-Analog of Fission Source Sampling

机译:非模拟裂变源抽样方法低估了蒙特卡洛方法的统计不确定性

获取原文
获取原文并翻译 | 示例
           

摘要

Theoretical equation on the underestimation ratio of statistical uncertainty of fission source distribution is derived using the expansion by eigenfunction and the AR model. The proposed equation well reproduce the underestimation ratio of statistical uncertainty of flux distribution obtained by GMVP and SlabMC, in which non-analog sampling for fission source is used. During the course of the present study, it was revealed that dependence of noise term on eigenmodes should be taken into account to correctly predict underestimation of statistical uncertainty when the non-analog sampling of fission source or non-analog absorption reaction is used or flux distribution is focused on. In this present summary, a simple calculation conditions (one energy group, one dimensional homogeneous slab geometry) used for verification. Thus the eigenvalues and the fission source distributions of higher modes can be analytically calculated for transport equation. Extension to more general cases would be a future task.
机译:利用本征函数展开和AR模型推导了裂变源分布统计不确定性低估率的理论方程式。提出的方程很好地再现了由GMVP和SlabMC获得的通量分布统计不确定性的低估比率,其中使用了非模拟裂变源采样。在本研究的过程中,发现使用裂变源的非模拟采样或非模拟的吸收反应或通量分布时,应考虑噪声项对本征模的依赖性,以正确预测统计不确定性的低估。专注于。在本发明内容中,一种简单的计算条件(一个能量组,一维均质平板几何形状)用于验证。因此,可以为输运方程解析地计算高阶模态的特征值和裂变源分布。扩展到更一般的情况将是未来的任务。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号