首页> 外文会议>Winter meeting of American Nuclear Society (ANS);American Nuclear Society (ANS) >Biased Reaction Branching Variance Reduction for Monte Carlo Isotopic Inventory Methods
【24h】

Biased Reaction Branching Variance Reduction for Monte Carlo Isotopic Inventory Methods

机译:蒙特卡洛同位素清单法的偏倚反应分支方差减少

获取原文
获取原文并翻译 | 示例

摘要

An accurate analog implementation of arnMonte Carlo isotopic inventory analysisrnalgorithm has been demonstrated with efficientrnparallel performance. In addition, a forcedrnreaction variance reduction technique wasrndemonstrated to improve the statisticalrnperformance and various figures of merit werernexplored to assess the overall efficiency. Thisrnwork focuses on the implementation of a biasedrnreaction branching variance reduction schemernthat allows for certain reaction pathways to bernpreferentially followed with adjustments in thernatoms weight to ensure a fair game. Thisrntechnique is primarily useful for isotopes that arernproduced directly by relatively rare reactionrnpathways. It is also an important precursor to thernimplementation of more sophisticated reactionrntree balancing schemes.
机译:arnMonte Carlo同位素清单分析算法的精确模拟实现已被证明具有有效的并行性能。此外,还展示了一种强制反应方差减少技术,以提高统计性能,并探索了各种性能指标来评估总体效率。这项工作的重点是实施偏向性反应分支方差减少方案,该方案允许优先选择某些反应途径,然后调整硅藻的重量以确保公平竞争。该技术主要用于由相对罕见的反应途径直接产生的同位素。它也是实现更复杂的反应树平衡方案的重要先驱。

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