A functional digital model of the Dingo thermal neutron imaging beamline.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Klaudiusz Jakubowski, Joseph J Bevitt, Nicholas Howell, Chris Dobie, Frederic Sierro, Ulf Garbe, Scott Olsen, Attila Stopic, Daniel R Franklin, Linh T Tran, Anatoly Rosenfeld, Susanna Guatelli, Mitra Safavi-Naeini
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引用次数: 0

Abstract

In this work, we extend our previously published Monte Carlo simulation model of the Dingo thermal neutron beamline at the Australian Centre for Neutron Scattering model by (1) including a sapphire crystal filter in the model, and (2) utilising the NCrystal package to simulate thermal neutron interactions with the crystalline structure. In addition to previous experimental measurements performed in the beamline's high-resolution mode, the beam was experimentally characterised in its high-intensity mode upstream from the sample stage (at the tertiary shutter wall exit) and these measurements were used as inputs for the model. The planar neutron distributions were optimised at both the sample stage and tertiary shutter wall exit, and model predictions were validated against experimental gold wire activation measurements. For both configurations-with and without the sapphire filter-we measured neutron fluxes, and performed neutron activation analysis using 11 materials to improve the accuracy of the neutron spectrum in the model relative to the original version. Using the optimised spectrum, we simulated out-of-beam neutron spectra that were further used as the initial input in unfolding code to explore the capability of the current solution to accurately reproduce the experimental results. The normalised neutron planar distribution from the simulation was on average within 2% at the centre, and 6% and 24% at the penumbra of the experimental results at the tertiary shutter wall exit and sample stage, respectively. The specific activities predicted by the refined model were within an average of 13% and 5% of the experimentally measured activities with and without the sapphire filter, respectively. We observed a decrease of around 45% in thermal neutron flux when the sapphire filter is used, which has been reproduced by the model. The maximum value of the logarithm of the ratio of simulated to experimental out-of-beam neutron spectra across 8 locations was 0.6 compared to 2.0 in the previous work, resulting in an average normalised root mean squared error between the unfolded spectrum and experimental measurements of 5% and 9% with and without the filter, respectively. Without the sapphire filter, the optimised predicted in-beam neutron spectrum consists of around 59% thermal, 21% epithermal and 20% fast neutrons, while the addition of the filter provides an almost pure (approximately 98%) thermal neutron beam.

Dingo热中子成像光束线的功能数字模型。
在这项工作中,我们扩展了我们之前发表的澳大利亚中子散射中心Dingo热中子束线的蒙特卡罗模拟模型,通过(1)在模型中包括蓝宝石晶体滤波器,以及(2)利用NCrystal包来模拟热中子与晶体结构的相互作用。除了先前在光束线的高分辨率模式下进行的实验测量外,光束在样品阶段上游(在三级快门墙出口)的高强度模式下进行了实验表征,这些测量结果被用作模型的输入。优化了样品阶段和三级快门壁出口的平面中子分布,并通过实验金线活化测量验证了模型预测。对于两种配置-带和不带蓝宝石过滤器-我们测量了中子通量,并使用11种材料进行了中子活化分析,以提高模型中相对于原始版本的中子谱的准确性。利用优化后的谱,我们模拟了束外中子谱,并将其进一步用作展开代码的初始输入,以探索当前解决方案精确再现实验结果的能力。在实验结果的中心和半影处,模拟得到的归一化中子平面分布的平均值分别在2%和6%和24%以内。通过改进模型预测的比活度,分别在有蓝宝石滤光片和没有蓝宝石滤光片的实验测量活度的平均13%和5%之内。我们观察到,当使用蓝宝石滤光片时,热中子通量降低了约45%,这已被模型所再现。8个位置的模拟与实验束外中子谱比的对数最大值为0.6,而之前的工作为2.0,结果显示,在有和没有滤波器的情况下,展开光谱与实验测量值的平均归一化均方根误差分别为5%和9%。在没有蓝宝石滤光片的情况下,优化后的预测束内中子谱由约59%的热中子、21%的超热中子和20%的快中子组成,而添加滤光片则提供了几乎纯(约98%)的热中子束。
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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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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