Thermoluminescence glow curve deconvolution for discrete and continuous trap distributions

Area of Science:

• Solid State Physics
• Materials Science
• Dosimetry

Background:

• Thermoluminescence (TL) analysis is crucial for characterizing materials.
• Accurate determination of kinetic parameters from TL glow curves is essential.
• Existing methods for TL glow curve deconvolution can be complex and time-consuming.

Purpose of the Study:

• To develop user-friendly software for automated deconvolution of thermoluminescent glow curves.
• To enable precise characterization of glow peaks by fitting kinetic parameters.
• To facilitate both routine processing and in-depth research of TL data.

Main Methods:

• Development of new software integrating Fortran code and Visual Studio tools.
• Implementation of automatic deconvolution algorithms for TL glow curves.
• Support for both discrete and continuous distributions of trapping centers.
• Automated initial estimation of kinetic parameters with manual adjustment options.

Main Results:

• Successful development of an easy-to-use graphical software environment.
• Demonstrated capability for automatic deconvolution of complex TL glow curves.
• Accurate fitting of kinetic parameters based on chosen models.
• Validation through detailed description of initial test results.

Conclusions:

• The developed software offers an efficient and reliable method for TL glow curve analysis.
• Automated deconvolution significantly aids in characterizing trapping centers.
• The software is suitable for a wide range of applications, from routine analysis to advanced research.