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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.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
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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.

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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.