Luminescence Signal Analysis Using Python

This book provides open-access Python software code for luminescence signal analysis, covering radiation dosimetry, luminescence dosimetry, and luminescence dating. It includes over 90 detailed worked examples and 16 chapters on theory and equations, with practical codes for analyzing experimental data. The codes are available on GitHub and are suited for a broad scientific audience, including students and researchers in physics, geology, archaeology, and medical physics.

Format: Hardback
Length: 396 pages
Publication date: 01 April 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book offers a complete package of open-access Python software code for luminescence signal analysis in various fields, including radiation dosimetry, luminescence dosimetry, and luminescence dating. With over 90 detailed worked examples of Python code seamlessly integrated into the text, it provides a comprehensive overview of the theory and equations underlying the subject matter. The book is divided into 16 chapters, each summarizing the relevant theory and presenting practical Python codes for analyzing experimental data and extracting the various parameters that mathematically describe luminescence signals. Numerous examples are provided to demonstrate how researchers can utilize and modify the available codes for different practical applications. The book covers a wide range of luminescence signals, including thermoluminescence (TL), isothermal luminescence (ITL), optically stimulated luminescence (OSL), infrared stimulated luminescence (IRSL), time-resolved luminescence (TR), and dose response of dosimetric materials. The open-access Python codes are available on GitHub, making them accessible to a broader scientific audience, including physicists, geologists, archaeologists, solid-state physicists, medical physicists, and researchers in various fields utilizing luminescence dosimetry in their research. The detailed code provided allows students and researchers to quickly gain practical expertise in their work while also providing an in-depth understanding of the theoretical foundations behind the analytical equations.

Weight: 787g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030967970
Edition number: 1st ed. 2022