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RaDeCC Reader: Fast, accurate and automated data processing for Radium Delayed Coincidence Counting systems
Computers & Geosciences ( IF 4.2 ) Pub Date : 2021-01-22 , DOI: 10.1016/j.cageo.2021.104699
Sean Selzer , Amber L. Annett , William B. Homoky

A Python program is presented to expedite the process of correcting raw data and propagating the related uncertainties from Radium Delayed Coincidence Counting (RaDeCC) instruments. The performance of the program was validated against an established method with real data. Excellent agreement between determinations of excess radium-223, actinium-227, excess radium-224, thorium-228 and radium-226 was achieved, with minor discrepancies in the results attributed to logical improvements in our implementation. The RaDeCC Reader program is able to process one thousand data files in only a few minutes, and thereby offer distinct advantages in the processing speed combined with reliable accuracy of data processing implementations.



中文翻译:

RaDeCC Reader:用于镭延迟重合计数系统的快速,准确和自动化的数据处理

提出了一个Python程序来加快校正原始数据和传播镭延迟重合计数(RaDeCC)仪器的相关不确定性的过程。该程序的性能已通过使用实际数据的既定方法进行了验证。过量的223 223,act 227,过量的224 ,、, 228和226的测定之间达成了极好的协议,结果的微小差异归因于我们实施中的逻辑改进。RaDeCC Reader程序仅需几分钟即可处理一千个数据文件,从而在处理速度和可靠的数据处理实现方式方面提供了明显的优势。

更新日期:2021-02-04
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