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A database of elemental compositions of architectural float glass samples measured by LA-ICP-MS

机译:通过LA-ICP-MS测量的建筑浮法玻璃样品的元素组成数据库

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摘要

We measured the elemental chemical composition of architectural float glass fragments using inductively coupled mass spectrometry with a laser ablation add-in. Measurements of 18 elemental concentrations were obtained from each fragment at each measurement occasion. These data can be used for statistical analysis with the purpose of evaluating forensic trace evidence. The data collection and measurement process in this database were carefully designed by the authors to enable understanding similarities and differences in elemental composition within a fragment, between fragments within a pane, between panes produced by the same manufacturer, and between manufacturers, to help in forensic glass evaluation. We received 48 panes that were produced on consecutive days, from two glass manufacturers in the U.S. Half of each pane was broken into small fragments and 24 fragments were randomly sampled from each half pane. To compute well-conditioned estimates of high-dimensional covariance matrices at all levels, we replicated measurements on each fragment; for three of the 24 fragments from a pane, we obtained 20 replicate measurements, and for the other 21 fragments, we made five replicate measurements. Analytical procedures to carry out the measurements followed the protocols recommended for forensic float glass samples by ENFSI [1] and the ASTM [2]. The database described in this article is related to two published research articles, “Learning algorithms to evaluate forensic glass evidence” by Park and Carriquiry (2019) and “Evaluation and comparison of methods for forensic glass source conclusions” by Park and Tyner (2019) [4].
机译:我们使用带有激光烧蚀插件的电感耦合质谱仪测量了建筑浮法玻璃碎片的元素化学组成。在每个测量场合从每个片段获得18种元素浓度的测量值。这些数据可用于统计分析,以评估法医痕迹证据。作者精心设计了该数据库中的数据收集和测量过程,以了解片段中元素组成,窗格中的片段之间,同一制造商生产的窗格之间以及制造商之间的元素组成的相似性和差异,以帮助进行司法鉴定。玻璃评估。我们收到了来自美国两家玻璃制造商连续48天生产的玻璃板。每块玻璃板的一半被分成小碎片,每半块玻璃板随机抽取24个碎片。为了在所有级别上计算高维协方差矩阵的条件良好的估计,我们在每个片段上重复了测量;对于来自窗格的24个片段中的三个片段,我们获得了20个重复测量,对于其他21个片段,我们进行了五个重复测量。进行分析的分析程序遵循ENFSI [1]和ASTM [2]为法医浮法玻璃样品推荐的规程。本文中描述的数据库与两篇已发表的研究文章相关,Park和Carriquiry(2019)的“学习评估法医玻璃证据的算法”和Park and Tyner(2019)的“法医玻璃来源结论的评估和比较方法” [4]。

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