论文标题
使用大数据库的上下文同位素排名标准用于伽马光谱中的峰值识别标准
Contextual Isotope Ranking Criteria for Peak Identification in Gamma Spectroscopy Using a Large Database
论文作者
论文摘要
同位素鉴定是具有高纯度锗探测器的伽马光谱中的复发问题。在这项工作中，引入了新策略，以促进这种类型的分析。使用五个标准来识别父同位素在大量同位素的大型伽马线数据库上进行查询，从而产生输出列表，其输出列表已对条目进行排序，以便将样品中存在最高可能性的伽马线放在顶部。引入并使用用于评估不同标准性能的度量标准。发现其中两个标准比其他标准优越：一个基于模糊逻辑，另一个基于使用伽马相对发射概率。一个名为“ Histoge”的程序使用包含从www放射性同位素表解析的同位素伽马线的SQLITE数据库实现了这些标准。 Histoge是免费软件，并与数据库一起提供，因此可以用于分析使用通用伽马射线检测器获得的光谱。
Isotope identification is a recurrent problem in gamma spectroscopy with high purity germanium detectors. In this work, new strategies are introduced to facilitate this type of analysis. Five criteria are used to identify the parent isotopes making a query on a large database of gamma-lines from a multitude of isotopes producing an output list whose entries are sorted so that the gamma-lines with the highest chance of being present in a sample are placed at the top. A metric to evaluate the performance of the different criteria is introduced and used to compare them. Two of the criteria are found to be superior than the others: one based on fuzzy logic, and another that makes use of the gamma relative emission probabilities. A program called histoGe implements these criteria using a SQLite database containing the gamma-lines of isotopes which was parsed from WWW Table of Radioactive Isotopes. histoGe is Free Software and is provided along with the database so they can be used to analyze spectra obtained with generic gamma-ray detectors.
