Systematic Distortion Factor and Unrecognized Source of Uncertainties in Nuclear Data Measurements and Evaluations

N. Kornilov, V. Pronyaev, S. Grimes
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引用次数: 3

Abstract

Each experiment provides new information about the value of some physical quantity. However, not only measured values but also the uncertainties assigned to them are an important part of the results. The metrological guides provide recommendations for the presentation of the uncertainties of the measurement results: statistics and systematic components of the uncertainties should be explained, estimated, and presented separately as the results of the measurements. The experimental set-ups, the models of experiments for the derivation of physical values from primary measured quantities, are the product of human activity, making it a rather subjective field. The Systematic Distortion Factor (SDF) may exist in any experiment. It leads to the bias of the measured value from an unknown “true” value. The SDF appears as a real physical effect if it is not removed with additional measurements or analysis. For a set of measured data with the best evaluated true value, their differences beyond their uncertainties can be explained by the presence of Unrecognized Source of Uncertainties (USU) in these data. We can link the presence of USU in the data with the presence of SDF in the results of measurements. The paper demonstrates the existence of SDF in Prompt Fission Neutron Spectra (PFNS) measurements, measurements of fission cross sections, and measurements of Maxwellian spectrum averaged neutron capture cross sections for astrophysical applications. The paper discusses introducing and accounting for the USU in the data evaluation in cases when SDF cannot be eliminated. As an example, the model case of 238U(n,f)/235U(n,f) cross section ratio evaluation is demonstrated.
核数据测量和评估中的系统畸变因子和未识别的不确定性来源
每个实验都提供了一些物理量值的新信息。然而,不仅测量值,而且赋予它们的不确定度也是结果的重要组成部分。计量指南对测量结果的不确定度的表示提供了建议:不确定度的统计数据和系统组成部分应作为测量结果分别加以解释、估计和表示。从原始测量量推导物理值的实验装置和实验模型是人类活动的产物,使其成为一个相当主观的领域。系统失真因子(SDF)可能存在于任何实验中。它会导致测量值与未知的“真”值产生偏差。如果不通过额外的测量或分析来消除SDF,它就会显示为真实的物理效应。对于具有最佳评估真值的一组测量数据,其不确定度之外的差异可以通过这些数据中存在未识别不确定源(USU)来解释。我们可以将数据中USU的存在与测量结果中SDF的存在联系起来。本文在快速裂变中子能谱(PFNS)测量、裂变截面测量和天体物理应用的麦克斯韦谱平均中子俘获截面测量中证明了SDF的存在。本文讨论了在SDF不能消除的情况下,在数据评价中引入和核算USU的问题。以238U(n,f)/235U(n,f)截面比计算模型为例进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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