Luminescence Signal Analysis Using Python - Rilegato

Pagonis, Vasilis

Rilegato

ISBN 10: 3030967972 ISBN 13: 9783030967970

Casa editrice: Springer Nature, 2022

Riassunto

<div><div>This book compiles and presents a complete package of open-access Python software code for luminescence signal analysis in the areas of radiation dosimetry, luminescence dosimetry, and luminescence dating. Featuring more than 90 detailed worked examples of Python code, fully integrated into the text, 16 chapters summarize the theory and equations behind the subject matter, while presenting the practical Python codes used to analyze experimental data and extract the various parameters that mathematically describe the luminescence signals. Several examples are provided of how researchers can use and modify the available codes for different practical situations. Types of luminescence signals analyzed in the book are thermoluminescence (TL), isothermal luminescence (ITL), optically stimulated luminescence (OSL), infrared stimulated luminescence (IRSL), timeresolved luminescence (TR) and dose response of dosimetric materials. The open-access Python codes are available at GitHub.</div><div><br></div><div>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.</div></div><div><br></div>

Su questo libro

Informazioni sull'autore

<div><div><b>Vasilis Pagonis</b> is Professor Emeritus of Physics at McDaniel College, USA. He is an internationally recognized&nbsp;</div><div>expert in luminescence dosimetry, and he has published more than 150 papers in peer-reviewed journals. He is&nbsp;</div><div>currently Associate Editor of the journal Radiation Measurements. He is Author and Coauthor of five books:&nbsp;</div><div>Luminescence Data analysis and Modeling using R (Pagonis, Springer Nature 2021), Classical Mechanics: A&nbsp;</div><div>Computational Approach, With Examples in Python and Mathematica (Kulp and Pagonis, CRC Press 2020),&nbsp;</div><div>Recent Advances in Physics and Applications of TL and OSL (eds. Chen and Pagonis, World Scientific 2019),&nbsp;</div><div>Thermally and Optically Stimulated Luminescence: A Simulations Approach (Chen and Pagonis, Wiley 2012),&nbsp;</div><div>and Practical and Numerical Exercises in Thermoluminescence (Pagonis, Kitis, and Furetta, Springer 2006).</div></div>

Dalla quarta di copertina

<div><div>This book compiles and presents a complete package of open-access Python software code for luminescence signal analysis in the areas of radiation dosimetry, luminescence dosimetry, and luminescence dating. Featuring more than 90 detailed worked examples of Python code, fully integrated into the text, 16 chapters summarize the theory and equations behind the subject matter, while presenting the practical Python codes used to analyze experimental data and extract the various parameters that mathematically describe the luminescence signals. Several examples are provided of how researchers can use and modify the available codes for different practical situations. Types of luminescence signals analyzed in the book are thermoluminescence (TL), isothermal luminescence (ITL), optically stimulated luminescence (OSL), infrared stimulated luminescence (IRSL), timeresolved luminescence (TR) and dose response of dosimetric materials. The open-access Python codes are available at GitHub.</div><div><br></div><div>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.</div></div>

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3030967972
• ISBN 13: 9783030967970
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 416
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania