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A COMPARISON OF DIFFERENT SPECTRA DECONVOLUTION METHODS USED IN EPR DOSIMETRY WITH GORILLA® GLASSES
S Sholom1, A Wieser2, S W S McKeever1
1Radiation Dosimetry Laboratory, Department of Physics, Oklahoma State University, Stillwater, OK, USA.
Radiation Protection Dosimetry
|December 19, 2018
Summary
Comparing two Electron Paramagnetic Resonance (EPR) spectral deconvolution methods for Gorilla Glass dosimetry, this study found both approaches showed promise for radiation dose reconstruction. The matrix method offered consistent results, while the universal method showed potential with specific signals.
Area of Science:
- Materials Science
- Analytical Chemistry
- Radiation Physics
Background:
- Electron Paramagnetic Resonance (EPR) spectroscopy is a valuable tool for radiation dosimetry.
- Gorilla Glass (GG) is a potential dosimeter material, but accurate dose reconstruction requires effective spectral analysis.
- Deconvolution methods are crucial for resolving complex EPR spectra and quantifying radiation doses.
Purpose of the Study:
- To compare the efficacy of two distinct EPR spectral deconvolution methods for quantifying radiation doses in Gorilla Glass.
- To evaluate the performance of a sample-specific matrix deconvolution method versus a universal reference signal approach.
- To assess the accuracy of reconstructed doses using dose-response curves derived from individual EPR signals.
Main Methods:
- X-band EPR measurements were performed on Gorilla Glass samples irradiated in the 0-20 Gy dose range.
- Two deconvolution methods were applied: a matrix deconvolution using sample-specific signals and a universal deconvolution using a fixed set of eight reference signals.
- Dose-response curves were generated for individual reference signals to reconstruct a known laboratory dose of 2 Gy.
Main Results:
- The matrix deconvolution method achieved reconstructed doses within ±20% of the nominal dose after averaging measurements from three aliquots.
- The universal deconvolution method showed promising results with specific signals (E1, E4, H1), but fitting failed for one sample due to a dominant background signal.
- Dose-response curves were successfully constructed for individual reference signals.
Conclusions:
- Both matrix and universal deconvolution methods show potential for radiation dosimetry in Gorilla Glass.
- The matrix method provides a reliable approach, while the universal method requires further refinement, particularly in managing background signals.
- Optimizing deconvolution strategies is essential for accurate EPR-based dosimetry in GG.
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