Improving the analysis performance of gamma spectrometer using the Monte Carlo code for accurate measurements of uranium samples

Gawad, K. Abd El; Zhang, Zhijian; Hazzaa, M.H.

doi:10.1016/j.rinp.2020.103145

Cited by 9 publications

(1 citation statement)

References 35 publications

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“…The efficiency value, which shows the performance of HPGe detectors, must be determined accurately and precisely, no matter what the detector is used for (Modarresi et al, 2017). It has been shown by many studies in the literature that the Monte Carlo simulation method can be successfully applied in gamma-ray spectrometry, especially in the efficiency calculation (Abd El Gawad et al, 2020;Trang et al, 2021;Stríbrnský et al, 2022). Two types of Monte Carlo simulation software are used in gamma-ray spectroscopy: these are either general-purpose codes such as GEANT, PENELOPE, EGS4, FLUKA, PHITS, or GESPECOR, DETEFF, ETNA, EFFTRAN, etc.…”

Section: Introductionmentioning

confidence: 99%

Attenuation Effect of Sample Container in Radioactivity Measurement by Gamma-ray Spectroscopy

Uyar

2022

Gazi University Journal of Science Part A: Engineering and Innovation

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The measurement of radioactivity in environmental samples containing natural radionuclides such as 238U, 232Th, and 40K in gamma-ray spectrometry is the most common application. One of the most widely used sample containers for environmental radioactivity measurements is volumetric sample containers of certain sizes in cylindrical geometry. These cylindrical containers can be made of materials with different densities and thicknesses. In this intention, in this study, the effect of the sample container, which is one of the many parameters affecting the detector efficiency, was investigated. For this purpose, acrylic and polypropylene materials with of different densities were examined. IAEA RGU-1, IAEA-RGTh-1 and IAEA-RGK-1 standards containing uranium, thorium and potassium environmental radionuclides analyzed in gamma-ray spectrometric measurements were used as samples for these sample containers with different densities. Additionally, since the spectra in cylindrical geometry are taken by placing them on the detector endcap, the effect of the bottom thickness was investigated by changing the bottom thickness of these materials. Different material and bottom thickness evaluations were made using PHITS and GESPECOR Monte Carlo simulation programs. Compatible results were obtained with a difference of <5% between the PHITS and GESPECOR programs. From the outcome of this study, it can be concluded that when choosing the container material, the density should be as low as possible and especially the bottom thickness should be thin.

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