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Luminescence: Data Analysis and Modeling Using R de Vasilis Pagonis

Luminescence: Data Analysis and Modeling Using R: Use R!

Autor Vasilis Pagonis
en Limba Engleză Paperback – 12 mai 2021
​This book covers applications of R to the general discipline of radiation dosimetry and to the specific areas of luminescence dosimetry, luminescence dating, and radiation protection dosimetry. It features more than 90 detailed worked examples of R code fully integrated into the text, with extensive annotations. The book shows how researchers can use available R packages to analyze their experimental data, and how to extract the various parameters describing mathematically the luminescence signals.

In each chapter, the theory behind the subject is summarized, and references are given from the literature, so that researchers can look up the details of the theory and the relevant experiments. Several chapters are dedicated to Monte Carlo methods, which are used to simulate the luminescence processes during the irradiation, heating, and optical stimulation of solids, for a wide variety of materials. This book will be useful to those who use the tools of luminescence dosimetry, including physicists, geologists, archaeologists, and for all researchers who use radiation in their research.
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Specificații

ISBN-13: 9783030673109
ISBN-10: 3030673103
Pagini: 352
Ilustrații: XXII, 350 p. 148 illus., 1 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.52 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Use R!

Locul publicării:Cham, Switzerland

Cuprins

1. Introduction.- 2. Analysis and Modeling of TL Data.- 3. Analysis of Experimental OSL Data.- 4. Dose Response of Dosimetric Materials.- 5. Monte Carlo Simulations With Fixed Time Interval.- 6. Luminescence as a Stochastic Life-and-Death Process.- 7. Delocalized Transitions: The R Package RLumCarlo.- 8. Localized Transitions: The R Package RLumCarlo.- 9. Quantum Tunneling and Luminescence Models.- 10. Quantum Tunneling: The R Package RLumCarlo.- 11. Comprehensive Quartz Models Using Program KMS.- 12. Quartz Models Using the R-Package RLumModel.

Notă biografică

Vasilis Pagonis is professor emeritus of Physics at McDaniel College, USA. He is an internationally recognized expert in luminescence dosimetry, and he has published more than 130 papers in peer-reviewed journals. He is the coauthor of four books: Classical Mechanics: A Computational Approach, With Examples in Python and Mathematica (Kulp and Pagonis, CRC Press 2020), Recent Advances in Physics and Applications of TL and OSL (eds. Chen and Pagonis, World Scientific 2019), Thermally and Optically Stimulated Luminescence: A Simulations Approach (Chen and Pagonis, Wiley 2012), and Practical and Numerical Exercises in Thermoluminescence (Pagonis, Kitis, and Furetta, Springer 2006).

Textul de pe ultima copertă

This book covers applications of R to the general discipline of radiation dosimetry and to the specific areas of luminescence dosimetry, luminescence dating, and radiation protection dosimetry. It features more than 90 detailed worked examples of R code fully integrated into the text, with extensive annotations. The book shows how researchers can use available R packages to analyze their experimental data, and how to extract the various parameters describing mathematically the luminescence signals.

In each chapter, the theory behind the subject is summarized, and references are given from the literature, so that researchers can look up the details of the theory and the relevant experiments. Several chapters are dedicated to Monte Carlo methods, which are used to simulate the luminescence processes during the irradiation, heating, and optical stimulation of solids, for a wide variety of materials. This book will be useful to those who use the tools of luminescence dosimetry, including physicists, geologists, archaeologists, and for all researchers who use radiation in their research.

Caracteristici

Features over 70 integrated R code examples, extensively annotated for reader comprehension Includes several chapters devoted to Monte Carlo methods Discusses how readers can employ and modify the included R examples for practical situations, extending guidance beyond the text, itself