Uncertainty in thermoluminescence analysis: a new criterion to assess the deconvolution process

Authors

  • Amr M. Sadek General Administration of Testing Laboratories, Saudi Standards for Metrology and Quality Organization (SASO), Riyadh, Kingdom of Saudi Arabia
  • Turki S. AlQahtani General Administration of Testing Laboratories, Saudi Standards for Metrology and Quality Organization (SASO), Riyadh, Kingdom of Saudi Arabia
  • Yahya Mobarki Nuclear and Radiological Regulatory Commission (NRRC), Riyadh, Kingdom of Saudi Arabia
  • Teodoro Rivera-Montalvo Research Center in Applied Science and Advanced Technology-Legaria, IPN, Ciudad de Mexico, Mexico
  • Maha A. Farag Department of Metrology of Ionizing Radiation, National Institute for Standards (NI]S), Giza, Egypt
  • George Kitis Aristotle University of Thessaloniki, Department of Physics, Section of Nuclear Physics and Elementary Particle Physics, Thessaloniki, Greece

DOI:

https://doi.org/10.24425/mms.2025.154675

Abstract

For decades, the deconvolution analysis of the thermoluminescence glow curve has been assessed using the figure of merit (FOM). In the present study, it has been shown that the FOM is not sufficient to assess the deconvolution analysis of TL glow curves. An alternative criterion has been proposed based on the uncertainty of the deconvolution analysis. A comparison between the proposed criterion and the FOM was conducted using theoretical simulations and experimental results. It has been shown that the developed criterion can provide detailed information about the fitting quality for each region in the glow curve as well as give an overall assessment of the deconvolution process. The uncertainty of deconvolution analysis using the general-order kinetics has been estimated for various glow curves. The TL-SDA toolkit has been updated to include the feature of evaluating the uncertainty of the deconvolution process.

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Published

2025-12-30

How to Cite

Sadek, Amr M., et al. “Uncertainty in Thermoluminescence Analysis: A New Criterion to Assess the Deconvolution Process”. Metrology and Measurement Systems, vol. 32, no. 4, Dec. 2025, pp. art. no. 4, 1-15, doi:10.24425/mms.2025.154675.

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