These kinetic parameters are of prime importance for characterizing a TL material with respect to its dose response, fading, and reproducibility as highlighted in the literature (Horowitz et al., 1986 Gómez-Ros et al., 1999 Furetta et al., 2000 Horowitz and Moscovitch, 1986 Horowitz and Yossian, 1993). The computerized glow curve deconvolution (CGCD) has become an essential tool for analyzing the kinetic parameters such as activation energy or trap depth (E), frequency factor (s −1), and kinetic order of charge carriers of Thermoluminescence (TL) materials (Horowitz and Yossian, 1995 Horowitz and Moscovitch, 2013). The results are verified by deconvolution of test synthetic glow curves with F.O.M up to 0.0005%, experimental glow curve for CTD with F.O.M of 0.9781%, and in the case of GLOWCANIN project glow curves, the F.O.M is comparable to the least values achieved by inter-comparison participants. A comparison of asymptotic and rational approximation to the built-in second order exponential integral function E 2 (E/KT) for E/KT < 600 is also presented. The residual graph gives a clear visual understanding of the Figure of Merit ( F.O.M). FOK, SOK, GOK, MOK, and Continuous Traps Distribution (CTD) with subtraction of optional background signal. To obtain best values of trap parameters like activation energy ( E), frequency factor ( s), order of kinetics ( b ), GCD Analyzer has the capability of analyzing glow curve using selectable individual peak of various physical kinetic models i.e. This tool has a unique feature of TL glow curve analysis by combining discrete and continuous energy distributions for crystalline, amorphous, and mixed materials. It is capable of deconvolution of glow curves having discrete or continuous trap distribution and can be used for routine as well as emergency radiation dosimetric analysis. In this study an open-source tool GCD Analyzer, based on Microsoft® Excel, for Computerized Glow Curve Deconvolution analysis (CGCD) of thermoluminescence (TL) glow peak has been developed using a more accurate rational approximation.
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