Optimization of the LaBr3 Detector Model Using Differential Evolution Algorithms.

Irina V Prozorova, Radmila R Sabitova,Sergey V Bedenko, Ruslan A Irkimbekov, Yuriy A Popov, Stanislav N Svetachev, Kuanysh K Samarkhanov

Applied radiation and isotopes including data, instrumentation and methods for use in agriculture, industry and medicine（2025）

National Research Tomsk Polytechnic University

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Abstract

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.

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【要点】：本研究通过微分进化算法优化了LaBr3(Ce)探测器模型，提高了计算与实验结果的契合度，为非标准源绝对效率的确定提供了准确方法。

【方法】：研究使用MCNP6代码基于蒙特卡洛方法对LaBr3(Ce)探测器进行建模，并通过微分进化算法对模型参数进行优化。

【实验】：通过使用137Cs和152Eu点校准源进行探测器特性化，并利用体积KCl源验证优化后的模型，计算与实验结果偏差在误差范围内。