Optimization of the LaBr3 detector model using differential evolution algorithms
Prozorova I.V. Sabitova R.R. Bedenko S.V. Irkimbekov R.A. Popov Y.A. Svetachev S.N. Samarkhanov K.K.
July 2025Elsevier Ltd
Applied Radiation and Isotopes
2025#221
In gamma-ray spectrometry, computational detector model allows determining absolute detector efficiency for non-standard sources with varying chemical compositions in the absence of volumetric calibration standards. This study focuses on developing a computational model of a LaBr3(Ce) 1.5 × 1.5″ scintillation detector based on characterization data. The detector was characterized using 137Cs and 152Eu point calibration sources placed at various positions relative to the detector cap. Modeling was performed using the MCNP6 code based on the Monte Carlo method. The initial modeling results revealed deviations between the calculated and experimental detector responses, which required model optimization. Optimization of the detector parameters was carried out using differential evolution algorithms. To verify the optimized LaBr3 model, studies were conducted with a volumetric KCl source. The deviations between the calculated and experimental results fell within the error limits.
Characterization , Detector optimization , Differential evolution algorithms , Gamma-ray spectrometry , Monte-carlo method
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Institute of Atomic Energy of National Nuclear Center of the Republic of Kazakhstan, Kurchatov, 180010, Kazakhstan
National Research Tomsk Polytechnic University, Tomsk, 634050, Russian Federation
Institute of Atomic Energy of National Nuclear Center of the Republic of Kazakhstan
National Research Tomsk Polytechnic University
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