Thermoluminescence glow curve deconvolution and its statistical analysis using the flexibility of spreadsheet...

Area of Science:

• Physics
• Materials Science

Background:

• Thermoluminescence (TL) glow curve analysis requires solving complex non-linear equations, often involving numerical methods or approximations.
• Existing methods for TL glow curve analysis can be computationally intensive or rely on simplifying assumptions.

Purpose of the Study:

• To develop and present a software tool for the analysis of thermoluminescence glow curves.
• To provide functions that solve the general one trap model without approximations.
• To integrate these functions into MS Excel for enhanced flexibility and accessibility.

Main Methods:

• Development of custom functions for MS Excel.
• Implementation of a solver for the general one trap model of thermoluminescence.
• Utilizing MS Excel's Solver utility for parameter estimation and analysis.
• Inclusion of functions for statistical analysis of deconvolution results.

Main Results:

• A novel MS Excel extension for thermoluminescence glow curve analysis.
• Accurate solutions to the general one trap model without approximations.
• A flexible and user-friendly system for researchers, leveraging existing spreadsheet software.
• Integrated statistical analysis tools for deconvolution results.

Conclusions:

• The developed MS Excel extension provides a powerful and flexible tool for thermoluminescence glow curve analysis.
• The software accurately models the thermoluminescence process using the general one trap model without approximations.
• Integration with MS Excel enhances accessibility and usability for researchers in the field.