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Preliminary Thermoluminescent Dosimeter Glow Curve Analysis with Automated Glow Peak Identification for LiF:Mg,Ti.
Health Physics ( IF 1.0 ) Pub Date : 2021-6-26 , DOI: 10.1097/hp.0000000000001426
Jack H Thiesen 1 , Jeremy M Hepker , Wenjin Yu , Keegan D Pombier , Kimberlee J Kearfott
Affiliation  

When appropriately analyzed, thermoluminescent dosimeter glow curve analysis allows for improved quantification of thermoluminescent material behavior while flagging abnormalities. The mathematical separation of a glow curve into contributions from energetically unique trap states, or glow curve analysis, may be used to remove undesired effects of signal fading for complex materials. A generalized glow curve analysis software for the separation of glow curves is presented in this paper. Written in C++, the software uses the first-order kinetics model with automatic peak identification. The automatic identification of peaks is achieved through a unique peak-finding algorithm. The program was performance tested using experimental glow curve data from LiF:Mg,Ti, and comparative results are presented.

中文翻译:

LiF:Mg,Ti 的初步热释光剂量计辉光曲线分析和自动辉光峰识别。

当进行适当分析时,热释光剂量计辉光曲线分析可以改进热释光材料行为的量化,同时标记异常。将辉光曲线数学分离为能量上独特的陷阱状态的贡献,或辉光曲线分析,可用于消除复杂材料的信号衰落的不良影响。本文提出了一种用于分离辉光曲线的通用辉光曲线分析软件。该软件用 C++ 编写,采用一级动力学模型,具有自动峰识别功能。通过独特的寻峰算法实现峰的自动识别。使用 LiF:Mg,Ti 的实验辉光曲线数据对该程序进行了性能测试,并给出了比较结果。
更新日期:2021-06-30
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