A new SEM‐EDS procedure for ancient ceramic classification, based on the automated acquisition and the semiautomated processing of multi‐elemental X‐ray maps, is described. Based on the detection of each aplastic inclusion, the procedure allows to simultaneously obtain a quantitative evaluation of both the inclusion mineral–chemical composition and the ceramic matrix chemical composition. The two data sets can individually or jointly be subjected to statistical methods. The proposed protocol was applied on a set of 22 samples of black glaze pottery from Adrano (north‐eastern Sicily), Hellenistic age (4th to 2nd centuries B.C.). Two main groups emerged from the application of the procedure, mainly distinguished for their quartz–feldspars versus calcium–aluminosilicate relative abundance as the inclusion mineral–chemical composition is concerned and for their matrix SiO₂ versus CaO. The classification based on the inclusion mineral–chemical data obtained with the proposed method mirrors the results from the traditional OM observation, but when the two data sets are simultaneously considered, a subtler differentiation is observed with the separation of one of the groups in two subgroups, allowing to refine the partition.

中文翻译：

---

基于矿物化学定量参数的自动SEM-EDS陶器分类：在Adrano（意大利NE Sicily，意大利）的古希腊陶器上的应用

描述了一种基于多元素X射线图的自动采集和半自动处理的，用于古代陶瓷分类的新SEM-EDS程序。基于对每个再生障壁夹杂物的检测，该程序可以同时获得对夹杂物矿物化学成分和陶瓷基体化学成分的定量评估。这两个数据集可以单独或联合使用统计方法。拟议的协议应用于来自希腊时代（公元前4至2世纪）的Adrano（西西里东北部）的黑釉陶器的22个样本集。该程序的应用产生了两个主要的组，₂对CaO。基于所提出的方法获得的夹杂矿物化学数据的分类反映了传统OM观测的结果，但是当同时考虑两个数据集时，观察到微妙的区分，其中两个亚组中的一组分离，允许优化分区。