<div>βThis book covers applications of R to the general discipline of radiation dosimetry and to the specific areas of luminescence dosimetry, luminescence dating, and radiation protection dosimetry. It features more than 90 detailed worked examples of R code fully integrated into the text, with ext
Luminescence Signal Analysis Using Python
β Scribed by Vasilis Pagonis
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 409
- Edition
- 1st ed. 2022
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
β¦ Table of Contents
Preface
Using theΒ Python Codes inΒ this Book
The New Nomenclature Used inΒ this Book
How This Book is Organized
Acknowledgments
Contents
Acronyms
List ofΒ Codes
1 Overview of Luminescence Signals from Dosimetric Materials
1.1 Introduction
1.2 Irradiation of Solids: Electron Traps, Hole Traps and Recombination Centers
1.3 Thermoluminescence (TL) Experiments and Models
1.4 Isothermal Luminescence (ITL) Experiments and Models
1.5 Optically Stimulated Luminescence (OSL) Experiments and Models
1.6 Infrared Stimulated Luminescence (IRSL) Experiments and Models
1.7 Time-resolved (TR) Luminescence Experiments and Models
1.8 ESR and OA Experiments: Correlations with Luminescence Signals
1.9 What Information Can We Extract from Luminescence Signals?
References
2 TL from Delocalized Transitions: Models
2.1 Introduction
2.2 The Simplest TL Model (OTOR)
2.3 Varying the Parameters In the OTOR Model
2.4 The FOK-TL Equation for First Order Kinetics
2.5 Simulation of the Dose Response of TL Peaks Following First Order Kinetics
2.6 Second Order Kinetics in Luminescence Processes
2.7 The FOK-TL, FOK-ITL, FOK-CW and FOK-LM Equations
2.8 The Geometrical Shape Factor
2.9 The Initial Rise Method for Estimating E
2.10 The Effect of Heating Rate on the TL Glow Curve
2.11 The Heating Rate Method of Finding the Kinetic Parameters E,s
2.12 The Empirical General Order Kinetics (GOK) Equation
2.13 The GOK-TL, GOK-ITL, GOK-CW and GOK-LM Equations
2.14 The General One Trap Equation (GOT)
2.15 Analytical Solution of The GOT Equation: The KV Equation
2.16 The KV-TL, KV-ITL, KV-CW And KV-LM Equations
2.17 Mixed Order Kinetics and The IMTS Model
2.18 General Analytical Solution of the MOK Model
2.19 The MOK-TL, MOK-ITL, MOK-CW and MOK-LM Equations
2.20 Recommended Protocols for Analyzing TL Data
References
3 TL Signals from Delocalized Transitions: Data Analysis
3.1 Introduction
3.2 Introduction to the Deconvolution of TL Glow Curves
3.3 CGCD Equations and Their Transformed Equivalents
3.4 Using the Python Package Optimize and the Function Curve_fit()
3.5 CGCD Using the Original FOK-TL (Randall-Wilkins) Equation
3.6 CGCD Using the Transformed FOK-TL Equation
3.7 CGCD Using the Original GOK-TL Equation
3.8 CGCD Using the Transformed GOK-TL Equation
3.9 CGCD Using the Original KV-TL Equation
3.10 CGCD Using the Transformed KV-TL Equation
3.11 CGCD Using the MOK-TL Equation
3.12 CGCD Using the Transformed MOK-TL Equation
3.13 CGCD of Multipeak Data Using the Transformed KV-TL Equation
3.14 CGCD of Multipeak Data Using the Transformed GOK-TL Equation
3.15 CGCD of LiF Glow Curve Using the Transformed KV-TL Equation
3.16 CGCD of LiF Glow Curve Using the Transformed GOK-TL Equation
References
4 TL from Quantum Tunneling Processes: Models
4.1 Introduction
4.2 Delocalized Versus Localized Transition Models for Luminescence
4.3 Quantum Tunneling and the Distribution of Nearest Neighbors
4.4 Overview of Four TLT Models with First Order Kinetics
4.5 Ground State TunnelingβThe Anomalous Fading Effect
4.6 Approximate Analytical Solution of the GST Model: The Huntley Equation
4.7 Anomalous Fading and the Value of the Acceptor Density Ο
4.8 Simultaneous Ground State Tunneling and Irradiation of the Sample
4.9 The Approximate Analytical Equation for the Dose Response of the IGST Model
4.10 Excited State Tunneling Phenomena (EST Model)
4.11 Quantum Tunneling and TL Signals in the EST Model
4.12 Simulation of TL Signal from Unfaded Samples in the EST Model
4.13 Simulation of The Remnant TL (RTL) Using the GST and EST Models
4.14 The Kitis-Pagonis (KP) Analytical Solution of the EST Model
4.15 The KP-TL, KP-ITL, KP-CW and KP-LM Equations
4.16 The TA-EST Model for Low Temperature Thermochronometry
References
5 TL from Quantum Tunneling Processes: Data Analysis
5.1 Introduction
5.2 Example of Analyzing Experimental Data for the Anomalous Fading Effect
5.3 Fitting Single-Peak TL Data From Unfaded Samples Using the KP-TL Equation
5.4 Fitting Multiple-Peak TL Data from Unfaded Samples Using the KP-TL Equation
5.5 The Transformed KP-TL Equation
5.6 Finding the Optimal Number of TL Components in Feldspars
References
6 ITL Signals: Models
6.1 Introduction
6.2 Overview of ITL Signals And the Challenges They Present
6.3 A Comparative Study of ITL and TL Signals in MBO and LBO Dosimeters
6.4 The FOK-ITL Equation For CCDA Analysis of ITL Signals
6.5 The KV-ITL Equation for CCDA Analysis of ITL Signals
6.6 The MOK-ITL Equation for CCDA Analysis of ITL Signals
6.7 The GOK-ITL Equation for CCDA Analysis of ITL Signals
6.8 The KP-ITL Equation for CCDA Analysis of ITL Signals
6.9 Summary of ITL Analytical Equations
References
7 ITL Signals: Data Analysis
7.1 Introduction
7.2 General Considerations for the Analysis of Isothermal Luminescence Signals
7.3 Analysis of ITL Signals Using the FOK-ITL Equation
7.4 Analysis of ITL Signals Using The KV-ITL Equation
7.5 Analysis of ITL Signals Using the MOK-ITL Equation
7.6 Analysis of ITL Signals Using the GOK-ITL Equation
7.7 Analysis of ITL Signals Using the KP-ITL Equation
7.8 The TL-like Presentation of ITL and CW-OSL Signals
References
8 OSL from Delocalized Transitions: Models
8.1 Introduction
8.2 Overview of CW-OSL and LM-OSL Signals, and Associated Models
8.3 The FOK-CW Equation for CCDA of CW-OSL Signals
8.4 The KV-CW Equation for CCDA of CW-OSL Signals
8.5 The MOK-CW Equation for CW-OSL Signals
8.6 The GOK-CW Equation for CCDA of CW-OSL Signals
8.7 The KP-CW Equation for CCDA of CW-IRSL Signals
8.8 The FOK-LM Equation for CCDA of LM-OSL Signals
8.9 The KV-LM Equation for CCDA of LM-OSL Signals
8.10 The MOK-LM Equation for CCDA of LM-OSL Signals
8.11 The GOK-LM Equation for CCDA of LM-OSL Signals
8.12 The KP-LM Equation for CCDA of LM-IRSL Signals
8.13 Transforming CW-OSL into Pseudo-LM-OSL Signals
References
9 OSL from Delocalized Transitions: Data Analysis
9.1 Introduction
9.2 General Considerations for Analyzing CW-OSL Signals
9.3 Using the FOK-CW Equation for Analyzing CW-OSL/CW-IRSL Data
9.4 Using the KV-CW Equation for Analyzing CW-OSL Signals
9.5 Using the MOK-CW Equation for Analyzing CW-OSL/CW-IRSL Signals
9.6 Using the GOK-CW Equation for Analyzing CW-OSL Signals
9.7 Using the KP-CW Equation for Analyzing CW-OSL Signals
9.8 Using the FOK-LM Equation for Analyzing LM-OSL Signals
9.9 Using the Transformed FOK-LM Equation for Analyzing LM-IRSL Signals
9.10 Using the KV-LM Equation for Analyzing LM-OSL Signals
9.11 Using the MOK-LM Equation for Analyzing LM-OSL Signals
9.12 Using the Transformed MOK-LM Equation for Analyzing LM-OSL Signals
9.13 Using the GOK-LM Equation for Analyzing LM-OSL Signals
9.14 Using the Transformed GOK-LM Equation for Analyzing LM-OSL Signals
9.15 Using the KP-LM Equation for CCDA of LM-IRSL Signals
9.16 Transforming CW-IRSL Signals into Peak-Shaped Signals
9.17 Recommended Protocols for Analyzing OSL Data
References
10 Infrared Stimulated Luminescence Signals: Models
10.1 Introduction
10.2 Introduction to IRSL Signalsβthe EST Model
10.3 Description of Luminescence Signals Within the EST Model
10.4 The TL Glow Curve as the Sum of Partial TL Glow Curves
10.5 The CW-IRSL Signal as the Sum of Partial CW-IRSL Curves
10.6 The LM-IRSL Signal as the Sum of Partial LM-IRSL Curves
10.7 CCDA Using the KP-CW and KP-LM Equations
10.8 The Stretched Exponential Equation
References
11 Infrared Stimulated Luminescence Signals: Data Analysis
11.1 Introduction
11.2 Fitting CW-IRSL Data Using the KP-CW Equation
11.3 Fitting LM-IRSL Data Using the KP-LM Equation
11.4 Fitting TL Data Using the KP-TL Equation
11.5 Fitting CW-IRSL Signals with the Stretched Exponential Equation
11.6 CW-IRSL Signals Measured at Higher Stimulation Temperature
References
12 Time-Resolved Luminescence: Models
12.1 Introduction
12.2 Examples of TR Luminescence Signals - Thermal Quenching
12.3 TR Signals and Thermal Quenching - The Mott-Seitz Mechanism
12.4 A Model for TR-Photoluminescence (TR-PL) Experiments in Al2O3:C
12.5 TR-IRSL Experiments: Analytical Equations from the EST Model
References
13 Time-Resolved Luminescence: Data Analysis
13.1 Introduction
13.2 Analysis of TR Signals Using the FOK-TR Equations
13.3 The Effect of Thermal Quenching on the TL Glow Curve
13.4 Evaluating the Thermal Quenching Parameters C, W and Eth
13.5 Analysis of TR-IRSL Data from Feldspars
13.6 Analysis of TR Data Using the Stretched Exponential
References
14 Dose Response of Dosimetric Materials: Models
14.1 Introduction
14.2 Mathematical Expressions for Dose Response of Luminescence Signals
14.3 Nonlinear Dose Response of ESR, TL and OSL Signals
14.4 Dose Response in the OTOR Model: The PKC Analytical Solution
14.5 Competition During the Irradiation Stage: The PKC-S Equation
14.6 Analytical Equations for the Supralinearity Index f(D)
References
15 Dose Response of Luminescence Signals: Data Analysis
15.1 Introduction
15.2 ESR and OA Experiments: Correlations with Luminescence Signals
15.3 Fitting Dose Response Data Using the SE and PKC-Equations
15.4 Fitting Dose Response Data Using the PKC, SE and DSE Equations
15.5 Fitting of Superlinear Experimental Data Using the Lambert Equation
References
Appendix Index
Index
π SIMILAR VOLUMES
he objective of this book is to implement signal processing algorithms in Python. There are many open-source software packages available to implement signal processing algorithms. The reasons for choosing Python are (1) it is a general-purpose programming language that can be used for various tasks
he objective of this book is to implement signal processing algorithms in Python. There are many open-source software packages available to implement signal processing algorithms. The reasons for choosing Python are (1) it is a general-purpose programming language that can be used for various tasks
<p><p>This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everyth