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UncorK - A Monte Carlo simulation tool for calculating combined uncertainties associated with mass bias calibration factors for isotope ratio measurements

机译:UNCERK - 用于计算与同位素比测量的大规模偏压校准因子相关的组合不确定性的蒙特卡罗模拟工具

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摘要

A complete uncertainty budget including all relevant uncertainty contributions is one of the requirements for an unbroken traceability chain to the International System of Units (SI). Measured ion intensity ratios need to be corrected for any mass bias effects. Correcting the measured ratios is usually done with mass bias correction factors (K-factors). These can be derived from gravimetric isotope mixtures. The resulting absolute isotope ratios are traceable to the SI, provided the uncertainty contribution stemming from the calibration is also considered. Since the computation of K-factors for even small systems containing only a small number of isotopes is chal- lenging, the uncertainty evaluation is also not a straightforward task. This paper presents a way of calculating the uncertainty associated with calibration factors by applying the Monte Carlo method. An EXCEL-based tool is presented that is capable of performing such uncertainty calculations for systems with up to 12 isotopes. Additionally, two examples are given to demonstrate the application of this tool and to validate it.
机译:完全不确定性预算包括所有相关的不确定性贡献,是对国际单位制度(SI)的不间断可追溯性链的要求之一。需要校正测量的离子强度比以纠正任何质量偏差效应。校正测量的比率通常用质量偏压校正因子(K因子)进行。这些可以源自重量同位素混合物。得到的绝对同位素比是可追溯的,只要考虑来自校准的不确定性贡献。由于甚至小型系统仅包含少数同位素的k因素的计算是挑战,因此不确定性评估也不是直接的任务。本文通过应用Monte Carlo方法,提供了一种计算与校准因子相关的不确定性的方法。提出了一种基于Excel的工具,其能够对最多12个同位素的系统执行这种不确定性计算。另外,给出了两个示例来演示该工具的应用并验证。

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