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A computerized glow curve analysis (GCA) method for WinREMS thermoluminescent dosimeter data using MATLAB
John A Harvey1, Miesher L Rodrigues, Kimberlee J Kearfott
1Department of Nuclear Engineering and Radiological Sciences, Radiological Health Engineering Laboratory, University of Michigan, Ann Arbor, 48109-2104, USA.
Summary
A new MATLAB program offers automated glow curve analysis for thermoluminescence data. This tool accurately analyzes various materials, providing rapid and detailed results for dosimetry applications.
Area of Science:
- Physics
- Materials Science
- Dosimetry
Background:
- Thermoluminescence (TL) is a crucial phenomenon for radiation dosimetry.
- Accurate analysis of TL glow curves is essential for reliable dose assessment.
- Existing methods for glow curve analysis can be time-consuming and require manual input.
Purpose of the Study:
- To develop and present a computerized glow curve analysis (GCA) program.
- To automate the analysis of thermoluminescence data from the WinREMS system.
- To provide a robust and efficient tool for evaluating TL glow peaks.
Main Methods:
- Utilized MATLAB for program development.
- Implemented a first-order kinetics model for fitting glow peaks.
- Tested the program with various thermoluminescent materials including LiF:Mg,Ti and CaF(2):Dy.
Main Results:
- The GCA program successfully fits glow peaks using first-order kinetics.
- Achieved an average figure of merit (FOM) of 1.3% or less for most tested materials.
- CaSO(4):Dy showed an average FOM of 2.2% or less.
- The program outputs fit parameters, peak areas, and graphs efficiently, analyzing each glow curve in under 1.5 seconds.
Conclusions:
- The developed MATLAB GCA program provides an accurate and efficient method for thermoluminescence data analysis.
- The program's high figure of merit indicates reliable fitting of glow peaks for dosimetry applications.
- This automated approach significantly reduces analysis time and enhances the usability of thermoluminescence data.
