论文标题
在液体氩探测器中建模杂质浓度
Modeling impurity concentrations in liquid argon detectors
论文作者
论文摘要
用于中微子和暗物质实验的高尚液体探测器中的杂质可以显着影响数据质量。我们提出了一个经过实验验证的模型，用于描述液体氩检测器中杂质分布的动力学。该模型考虑了气体和液体氩气相内和之间的杂质的来源，下沉和运输。将20-L LAR多用途测试架中的氧浓度的测量与使用该模型进行的计算进行了比较，以表明可以在各种操作条件下的浓度进行准确描述。该分析的结果是确定亨利在LAR中的氧气系数。这些计算还表明，某些过程对杂质动力学的影响很小，而排除它们则产生了解决方案，作为两个指数项的总和。该解决方案提供了一种简单的方法，可以提取亨利的系数，并具有可忽略的近似误差。它应用于数据，亨利在LAR中的氧气系数为0.84 $^{+0.09} _ { - 0.05} $，与文献结果一致。基于模型对数据的分析，我们进一步建议，对于大型液体氩检测器，安装在气相中的流动障碍（“挡板”）以限制流量可以帮助降低LAR中的最终杂质浓度。
Impurities in noble liquid detectors used for neutrino and dark matter experiments can significantly impact the quality of data. We present an experimentally verified model for describing the dynamics of impurity distributions in liquid argon (LAr) detectors. The model considers sources, sinks, and transport of impurities within and between the gas and liquid argon phases. Measurements of oxygen concentrations in a 20-L LAr multi-purpose test stand are compared to calculations made with this model to show that an accurate description of the concentrations under various operational conditions can be obtained. A result of this analysis is a determination of Henry's coefficient for oxygen in LAr. These calculations also show that some processes have small effects on the impurity dynamics and excluding them yields a solution as a sum of two exponential terms. This solution provides a simple way to extract Henry's coefficient with negligible approximation error. It is applied to the data and the Henry's coefficient for oxygen in LAr is obtained as 0.84$^{+0.09}_{-0.05}$, consistent with literature results. Based on the analysis of the data with the model, we further suggest that, for a large liquid argon detector, barriers to flow ("baffles") installed in the gas phase to restrict flow can help reduce the ultimate impurity concentration in the LAr.
