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Numerical deconvolution of thermoluminescence spectra

机译:热荧光光谱的数值去卷积

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Curve fitting algorithms are widely used for the determination of trap parameters from thermoluminescence (TL) glow curves. Most of the algorithms are based on the general order kinetics (GOK) model. In this paper, we study the accuracy of GOK model in application to the analysis of TL curves. It is shown that in many cases especially characterized by high retrapping coefficients, the GOK model is not applicable giving erroneous estimation of the activation energy. To overcome the difficulty a novel fitting algorithm is suggested based on the quasi equilibrium approximation. The algorithm allows to analyze a single TL peak as well as to deconvolute complex TL curves. Using numerically generated TL spectra the preciseness and stability of the method is verified.
机译:曲线拟合算法广泛用于测定来自热致发光(TL)发光曲线的陷阱参数。大多数算法基于普通阶动力学(GOK)模型。在本文中,我们研究了GOK模型在应用于分析TL曲线中的准确性。结果表明,在许多情况下,特别是高回波系数的情况下,GOK模型不适用于对激活能量的错误估计。为了克服难以基于准平衡近似建议的新型拟合算法。该算法允许分析单个TL峰以及Deconvolute复杂的TL曲线。使用数值生成的TL光谱验证了该方法的精确度和稳定性。

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