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Luminescence signal analysis using P...

Pagonis, Vasilis.

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Luminescence signal analysis using Python

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Luminescence signal analysis using Python/ by Vasilis Pagonis.
作者:	Pagonis, Vasilis.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xix, 396 p. :ill. (some col.), digital ;24 cm.
內容註:	TL Signals from Delocalized Transitions: Models -- Analysis of TL Signals from Delocalized Transitions -- TL from Quantum Tunneling Processes: Models -- Analysis of TL from Quantum Tunneling Processes -- Isothermal Luminescene (ITL) Signals: Models and Analysis -- TL Signals from Localized Transitions: Models and Analysis -- OSL from Delocalized Transitions: Models -- Analysis of OSL from Delocalized Transitions -- Infrared Stimulated Luminescene Signals: Models -- Analysis of IRSL Signals -- Time-Resolved Luminescene: Models -- Analysis of Time-Resolved Luminescene Signals L -- Dose Response of Dosimetric Materials: Models -- Analysis of Dose Response of Luminescene Signals -- Radiofluorescene Signals: Models and Analysis -- Radiophotoluminescene Signals: Models and Analysis.
Contained By:	Springer Nature eBook
標題:	Luminescence - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-96798-7
ISBN:	9783030967987

Luminescence signal analysis using Python
Pagonis, Vasilis.

Luminescence signal analysis using Python[electronic resource] /by Vasilis Pagonis. - Cham :Springer International Publishing :2022. - xix, 396 p. :ill. (some col.), digital ;24 cm.

TL Signals from Delocalized Transitions: Models -- Analysis of TL Signals from Delocalized Transitions -- TL from Quantum Tunneling Processes: Models -- Analysis of TL from Quantum Tunneling Processes -- Isothermal Luminescene (ITL) Signals: Models and Analysis -- TL Signals from Localized Transitions: Models and Analysis -- OSL from Delocalized Transitions: Models -- Analysis of OSL from Delocalized Transitions -- Infrared Stimulated Luminescene Signals: Models -- Analysis of IRSL Signals -- Time-Resolved Luminescene: Models -- Analysis of Time-Resolved Luminescene Signals L -- Dose Response of Dosimetric Materials: Models -- Analysis of Dose Response of Luminescene Signals -- Radiofluorescene Signals: Models and Analysis -- Radiophotoluminescene Signals: Models and Analysis.

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. 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.

ISBN: 9783030967987

Standard No.: 10.1007/978-3-030-96798-7doiSubjects--Topical Terms:

3496139
Luminescence
--Data processing.

LC Class. No.: QC476.5 / .P34 2022

Dewey Class. No.: 535.35

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505 0 $a TL Signals from Delocalized Transitions: Models -- Analysis of TL Signals from Delocalized Transitions -- TL from Quantum Tunneling Processes: Models -- Analysis of TL from Quantum Tunneling Processes -- Isothermal Luminescene (ITL) Signals: Models and Analysis -- TL Signals from Localized Transitions: Models and Analysis -- OSL from Delocalized Transitions: Models -- Analysis of OSL from Delocalized Transitions -- Infrared Stimulated Luminescene Signals: Models -- Analysis of IRSL Signals -- Time-Resolved Luminescene: Models -- Analysis of Time-Resolved Luminescene Signals L -- Dose Response of Dosimetric Materials: Models -- Analysis of Dose Response of Luminescene Signals -- Radiofluorescene Signals: Models and Analysis -- Radiophotoluminescene Signals: Models and Analysis.
520 $a 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. 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.
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