论文标题

通过分析,引导和样本方法进行rossi-alpha的不确定性定量,以告知最佳实践

Rossi-alpha Uncertainty Quantification by Analytic, Bootstrap, and Sample Methods to Inform Fitting Best Practices

论文作者

Hua, M. Y., Bravo, C. A., Marchie, R. M., Hutchinson, J. D., McKenzie, G. E., Pozzi, S. A.

论文摘要

可以使用Rossi-Alpha技术估算及时中子周期(迅速中子衰变常数的负面倒数),该技术基于拟合Rossi-Alpha直方图以及对核临界性安全性和非增殖的感兴趣[1,2,3]。传统上,直方图与一个指数模型拟合;但是,最近的工作提出了一个两指数的模型来解释反射剂诱导的现象[4,5,6]。直到最近,这两个模型的不确定性定量都不足(不准确,要求大量测量时间)。在参考文献中开发并验证了通过样本和分析方法进行测量不确定性定量。 [7]。此交易的目的是(i)通过比较bin-bin错误栏估计值和(ii)演示如何选择bin宽度和重置时间以优化精度和准确性来验证新的引导方法。

The prompt neutron period (the negative reciprocal of the prompt neutron decay constant) can be estimated using the Rossi-alpha technique that is predicated on fitting Rossi-alpha histograms and of interest in nuclear criticality safety and nonproliferation [1, 2, 3]. The histograms are traditionally fit with a one-exponential model; however, recent work has proposed a two-exponential model to account for reflector-induced phenomenon [4, 5, 6]. Until recently, the uncertainty quantification for either model was inadequate (inaccurate and demanded large measurement times). Measurement uncertainty quantification by sample and analytic methods was developed and validated in Ref. [7]. The purpose of this transaction is to (i) validate a new bootstrap method by comparing bin-by-bin error bar estimates and (ii) demonstrate how to choose bin widths and reset times to optimize precision and accuracy.

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