Overview
- 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
Part of the book series: Use R! (USE R)
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Table of contents (12 chapters)
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Front Matter
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Luminescence Signals from Delocalized Transitions
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Front Matter
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Luminescence Signals from Localized Transitions
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Front Matter
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Monte Carlo Simulations of Luminescence Signals
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Front Matter
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Comprehensive Luminescence Models
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the author
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).
Bibliographic Information
Book Title: Luminescence
Book Subtitle: Data Analysis and Modeling Using R
Authors: Vasilis Pagonis
Series Title: Use R!
DOI: https://doi.org/10.1007/978-3-030-67311-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-67310-9Published: 12 May 2021
eBook ISBN: 978-3-030-67311-6Published: 11 May 2021
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: XXII, 350
Number of Illustrations: 147 b/w illustrations, 1 illustrations in colour
Topics: Statistics and Computing/Statistics Programs, Theoretical, Mathematical and Computational Physics, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences