Titlebook: Luminescence; Data Analysis and Mo Vasilis Pagonis Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp

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書目名稱Luminescence影響因子(影響力)




書目名稱Luminescence影響因子(影響力)學(xué)科排名




書目名稱Luminescence網(wǎng)絡(luò)公開度




書目名稱Luminescence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Luminescence被引頻次




書目名稱Luminescence被引頻次學(xué)科排名




書目名稱Luminescence年度引用




書目名稱Luminescence年度引用學(xué)科排名




書目名稱Luminescence讀者反饋




書目名稱Luminescence讀者反饋學(xué)科排名

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Analysis and Modeling of TL Dataitial rise method and the method of various heating rates, which allow evaluation of both the activation energy . and the frequency factor .. We present R codes for numerically integrating the simple one trap one recombination model (OTOR), as well as for numerically integrating the equations for fi

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Analysis of Experimental OSL Datad linearly modulated OSL (LM-OSL) signals. We present detailed examples for computerized analysis of OSL experimental data, using the R packages . and ., and how to extract the relevant optical cross sections. On the modeling side, we present the GOT equation derived from the OTOR model, show how th

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Dose Response of Dosimetric Materialsrimental data. We define the superlinearity index .(.), and the supralinearity index .(.), and discuss various functions commonly used to describe shape of dose response curves in TL, OSL, OA, and ESR signals: the saturating exponential, double saturating exponential, single exponential plus linear,

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Localized Transitions and Quantum Tunneling: ground state tunneling (GST) model, irradiation ground state tunneling (IGST) model, excited state tunneling (EST) model, and thermally assisted excited state tunneling (TA-EST) model. We provide R codes for exploring the properties of each model, discuss their physical principles, and code approx

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Localized Transitions: The LT and SLT Modelons model (SLT). We provide R codes for numerically solving the differential equations for the LT model, and compare the solution with the analytical equations involving the Lambert . function. Several examples are presented using the R package . to simulate these types of localized transition pheno

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Monte Carlo Simulations of Delocalized Transitionsc solutions of the corresponding differential equations. We present the R codes for fixed time interval MC methods to simulate CW-OSL, LM-OSL, TL, and ITL processes and discuss how luminescence processes can be described within the general framework of birth and death processes. Vectorized R codes a

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Monte Carlo Simulations of Localized Transitionsples of R codes are provided for TL, CW-IRSL, and LM-IRSL signals in the excited state tunneling (EST) model, and the MC results are compared with the analytical Kitis–Pagonis equations (KP-CW, KP-TL). The R codes also provide estimates for the stochastic coefficients of variation CV% for a variety

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Kinetic Monte Carlo Simulationso (KMC) methods. KMC methods are based on the concept that the variable time intervals between random events follow an exponential distribution. R codes are provided here for KMC methods applied to luminescence signals as stochastic birth and death processes. The chapter concludes with a different e