Monte Carlo uncertainty analyses for integral beryllium experiments

Monte Carlo uncertainty analyses for integral beryllium experiments
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积分铍实验的蒙特卡罗不确定性分析

DOI:
10.1016/s0920-3796(00)00232-5
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发表时间:
2000
期刊:
影响因子:
--
通讯作者:
H. Tsige
H. Tsige
中科院分区:
--
文献类型:
--
作者:
U. Fischer;R. L. Perel;H. Tsige

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用于计算点探测器灵敏度的新颖蒙特卡罗技术已应用于两个代表性的铍传输实验,目的是研究中子倍增等重要响应的灵敏度,并评估由于潜在的横截面数据不确定性而导致的相关不确定性。作为一个重要的结果,人们发现,使用最先进的核数据评估可以很好地预测铍的中子倍增能力。谱中子通量分布确实存在严重差异,这会导致计算出的中子谱和包层设计计算中核包层性能的显着不确定性。对此,建议通过基于蒙特卡罗的灵敏度和不确定性计算来重新分析铍的二次能量和角度分布数据。相关代码开发工作正在进行中。
The novel Monte Carlo technique for calculating point detector sensitivities has been applied to two representative beryllium transmission experiments with the objective to investigate the sensitivity of important responses such as the neutron multiplication and to assess the related uncertainties due to the underlying cross-section data uncertainties. As an important result, it has been revealed that the neutron multiplication power of beryllium can be predicted with good accuracy using state-of-the-art nuclear data evaluations. Severe discrepancies do exist for the spectral neutron flux distribution that would transmit into significant uncertainties of the calculated neutron spectra and of the nuclear blanket performance in blanket design calculations. With regard to this, it is suggested to re-analyse the secondary energy and angle distribution data of beryllium by means of Monte Carlo based sensitivity and uncertainty calculations. Related code development work is underway.