Abstract
In this chapter we present examples of analyzing experimental TL data for materials like feldspars and apatites, which exhibit quantum tunneling processes. The models and relevant equations for these types of signals were presented in the previous chapter. We use the Kitis-Pagonis analytical equation (KP-TL) to analyze TL signals from feldspars which exhibit anomalous fading (AF) phenomena, and provide the Python code for analyzing experimental AF data. Several examples are presented of using Python to fit single-peak and multi-peak TL data, by using the original KP-TL equation, as well as the transformed version of the KP-TL equation. We also provide the Python code for determining the optimal number of components in the TL signal from feldspars.
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Pagonis, V. (2022). TL from Quantum Tunneling Processes: Data Analysis. In: Luminescence Signal Analysis Using Python. Springer, Cham. https://doi.org/10.1007/978-3-030-96798-7_5
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DOI: https://doi.org/10.1007/978-3-030-96798-7_5
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