Overview
- Provides useful and practical tools for luminescence data analysis and modeling
- Contains more than 80 detailed complete Python codes, available on GitHub and ready to use
- Presents extensively referenced and features comprehensive coverage of each topic
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
- Luminescence Dosimetry
- Radiation Protection Dosimetry
- Luminescence Dating
- Thermally Stimulated Luminescence Signals
- Quantum Tunneling Processes
- Isothermal Luminescence Signals
- Optically Stimulated Luminescence Signals
- Luminescence Signals From Delocalized Transitions
- Time-Resolved Luminescence Signals
- Signal Analysis With Python
- Radiofluorescence Signals
About this book
The book is well suited to the broader scientific audience using the tools of luminescence dosimetry: physicists, geologists, archaeologists, solid-state physicists, medical physicists, and all scientists using luminescence dosimetry in their research. The detailed code provided allows both students and researchers to be trained quickly and efficiently on the practical aspects of their work, while also providing an overview of the theory behind the analytical equations.
Authors and Affiliations
About the author
expert in luminescence dosimetry, and he has published more than 150 papers in peer-reviewed journals. He is
currently Associate Editor of the journal Radiation Measurements. He is Author and Coauthor of five books:
Luminescence Data analysis and Modeling using R (Pagonis, Springer Nature 2021), 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 Signal Analysis Using Python
Authors: Vasilis Pagonis
DOI: https://doi.org/10.1007/978-3-030-96798-7
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-96797-0Published: 01 April 2022
Softcover ISBN: 978-3-030-96800-7Published: 02 April 2023
eBook ISBN: 978-3-030-96798-7Published: 31 March 2022
Edition Number: 1
Number of Pages: XIX, 396
Number of Illustrations: 4 b/w illustrations, 136 illustrations in colour
Topics: Biological and Medical Physics, Biophysics, Theoretical, Mathematical and Computational Physics, Python, Quantum Physics, Materials Science, general