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dc.creatorPrevezanou K., Kioselaki G., Tsoutsoumanos E., Konstantinidis P.G., Polymeris G.S., Pagonis V., Kitis G.en
dc.date.accessioned2023-01-31T09:50:40Z
dc.date.available2023-01-31T09:50:40Z
dc.date.issued2022
dc.identifier10.1016/j.radmeas.2022.106772
dc.identifier.issn13504487
dc.identifier.urihttp://hdl.handle.net/11615/78361
dc.description.abstractIn Thermoluminescence (TL) and Optically Stimulated Luminescence (OSL), the study of complex experimental TL glow curves and OSL signal processing, also known as deconvolution, was revolutionized by using a single, analytic master equation described by Lambert W function. This latter equation has been also adopted for the case of dose response fitting. The present study exploits the utilization of Lambert W function in Python programming environment. These analytic expressions are based on One Trap-One Recombination center (OTOR) and Two Traps-One Recombination center (TTOR) models. Python scripts, with corresponding software flowchart being described in general, are created to deconvolve TL, LM-OSL, CW-OSL as well as to fit dose response experimental data. The calculated results are in agreement with those of the existing literature. Also, all scripts are free and available in GitHub to the research community for downloading. © 2022 Elsevier Ltden
dc.language.isoenen
dc.sourceRadiation Measurementsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85129995148&doi=10.1016%2fj.radmeas.2022.106772&partnerID=40&md5=0a5a6bc197a5058203bc613203a41895
dc.subjectComputer softwareen
dc.subjectHigh level languagesen
dc.subjectSignal processingen
dc.subjectThermoluminescenceen
dc.subjectDeconvolutionsen
dc.subjectDose responseen
dc.subjectGlow curveen
dc.subjectLambert Wen
dc.subjectLambert W functionen
dc.subjectLuminescence analysisen
dc.subjectLuminescence signalsen
dc.subjectOptically stimulated luminescenceen
dc.subjectRecombination centresen
dc.subjectStimulated luminescenceen
dc.subjectPythonen
dc.subjectElsevier Ltden
dc.titleImplementation of expressions using Python in stimulated luminescence analysisen
dc.typejournalArticleen


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