Titlebook: Luminescence Signal Analysis Using Python; Vasilis Pagonis Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive lice

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ITL Signals: Data Analysis,ter we use Python codes based on both delocalized and localized transitions models, to analyze the same set of experimental ITL data, and compare and contrast the results from the different methods of analysis. We demonstrate first the most common method of analysis by using the FOK-ITL exponential

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OSL from Delocalized Transitions: Models,e believed to originate from delocalized transitions involving the conduction/valence bands. We develop Python codes for computerized curve deconvolution analysis (CCDA) using the first order kinetics FOK-CW equation, in which CCDA is carried out using the sum of decaying exponentials. More general

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Infrared Stimulated Luminescence Signals: Data Analysis,previous chapter. We present Python codes for analyzing the TL, CW-IRSL and LM-IRSL data from the same feldspar sample, and show that these luminescence signals can be described with the same acceptor density parameter, supporting the modeling assumption that all three signals share the same recombi

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