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Sodium iodide (NaI(Tl)) scintillation detector is commonly used for gamma-ray spectrometric evaluations in airborne surveys and geophysical well logging. However, the applications related to environment monitoring are often encountered with challenges of low-level counting (LLC), demanding a high-resolution spectrometry system, such as a high purity germanium (HPGe) system. HPGe systems are expensive and cannot be used continuously due to the necessary supply of liquid nitrogen. In this paper, the possibility to use relatively poor resolution NaI(Tl) detector for measuring low-level radioactivity due to principal nuclides by spectrum unfolding has been explored. We quantified the activities of principal radionuclides, Th, U, and K, in soil samples from NaI(Tl) spectral measurements by spectrum decomposition (SD) and matrix deconvolution (MD) techniques. The specific activities of radionuclides were statistically characterized with respect to the measurements made with HPGe detector. The comparison suggests that activities determined with NaI(Tl) detector were underestimated in the majority of cases. However, the activity of U measured with the MD method was overestimated. The results of SD were closer to the HPGe detector measurements as compared to the MD method. Considering the normal distribution of measurements from both detectors, correlation coefficients were computed that led to the development of linear regression models to numerically transform NaI(Tl) measurements to HPGe equivalent activities within statistically acceptable bounds. Thus, a low-resolution but high-efficiency NaI(Tl) detector provides a cost-effective and time-saving alternative to HPGe measurements for the routine environmental radioactivity surveys, since it offers continuous operation and provision for carrying in fields as well, which facilitates sample characterization and thereby quick assessment of radiological hazards.
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http://dx.doi.org/10.1007/s10661-025-13893-y | DOI Listing |
Appl Radiat Isot
August 2025
Faculty of Sciences and Modern Technologies, Graduate University of Advanced Technology, Kerman, Iran. Electronic address:
Defect detection during pipeline production is essential to enhance efficiency, improve product quality, and ensure safety. One of the primary challenges in polyethylene pipe manufacturing is distinguishing between intact and defective pipes during the production process. In this study, nuclear techniques were employed for defect detection in polyethylene pipes using the GEometry ANd Tracking (GEANT4) simulation tool.
View Article and Find Full Text PDFAppl Radiat Isot
August 2025
Nuclear Engineering Laboratory, National Technical University of Athens, 15780 Athens, Greece.
Radon short-lived progeny may be used as tracers of environmental processes. Monitoring their activity in ambient air is a challenging process, and full interpretation of their fluctuations remains unclear. In this work, an enhanced technique for monitoring radon progeny in ambient air is presented.
View Article and Find Full Text PDFJ Appl Clin Med Phys
September 2025
Department of Radiology, University of Colorado School of Medicine, Aurora, Colarado, USA.
Background: NaI(Tl) scintillators used in most gamma cameras are hermetically sealed to prevent the absorption of water molecules from the surrounding environment. If this seal is compromised, crystal hydration, a localized defect resulting in non-uniform attenuation of scintillation photons, may occur.
Purpose: The purpose of this study was to evaluate the effects of crystal hydration across multiple radionuclides, characterizing the impact on spectral response and image uniformity.
Phys Rev Lett
August 2025
Universidad de Zaragoza, Centro de Astropartículas y Física de Altas Energías (CAPA), Pedro Cerbuna 12, 50009 Zaragoza, Spain.
The nature of dark matter, which constitutes 27% of the Universe's matter-energy content, remains one of the most challenging open questions in physics. Over the past two decades, the DAMA/LIBRA experiment has reported an annual modulation in the detection rate of ≈250 kg of NaI(Tl) detectors operated at the Gran Sasso Laboratory, which the collaboration interprets as evidence of the galactic dark matter detection. However, this claim has not been independently confirmed and is refuted under certain dark matter particle and halo model scenarios.
View Article and Find Full Text PDFSensors (Basel)
July 2025
Intelligent Perception and Control Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong 643000, China.
Structural collapses caused by accidents or disasters could create unexpected radiation shielding, resulting in sharp gradients within the radiation field. Traditional radiation mapping methods often fail to accurately capture these complex variations, making the rapid and precise localization of radiation sources a significant challenge in emergency response scenarios. To address this issue, based on standard Gaussian process regression (GPR) models that primarily utilize a single Gaussian kernel to reflect the inverse-square law in free space, a novel multi-kernel Gaussian process regression (MK-GPR) model is proposed for high-fidelity radiation mapping in environments with physical obstructions.
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