A condenser air removal system plays a crucial role in radiation monitoring within nuclear power plants, specifically for detecting potential leaks of radioactive material from primary-to-secondary systems. This system assesses the leakage rate (LR) by measuring the emission of particles from noble gases using a thin plastic scintillation (TPS) detector, which is specifically designed for counting purposes. Among the factors used in LR calculation, the detection efficiency () must be experimentally determined in advance. However, this is challenging because of the limitations posed by radiation safety regulations. Moreover, simulation-based calculations are difficult to achieve because only a portion of the -ray energy is transferred in the TPS detectors, resulting in a lack of prior energy information. To overcome these challenges, this study employed a multi-objective parameter optimization technique to simultaneously calculate the parameters required for the -ray detection response function and energy calibration equation. Subsequently, values were calculated using the optimization results. The optimization performance was demonstrated by comparing the measured spectra of the TPS detector with the spectra obtained from the Monte Carlo N-particle simulation. Furthermore, we confirmed that the calculated values agreed with the reference values.

中文翻译：

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用于估计薄塑料闪烁探测器中 β 探测效率的参数优化


冷凝器除气系统在核电厂内的辐射监测中发挥着至关重要的作用，特别是用于检测从一次系统到二次系统的放射性物质的潜在泄漏。该系统通过使用专为计数目的而设计的薄塑料闪烁 (TPS) 检测器测量惰性气体中的颗粒发射来评估泄漏率 (LR)。在LR计算所使用的因素中，检测效率（）必须预先通过实验确定。然而，由于辐射安全法规的限制，这具有挑战性。此外，基于模拟的计算很难实现，因为只有一部分γ射线能量在TPS探测器中转移，导致缺乏先验能量信息。为了克服这些挑战，本研究采用多目标参数优化技术来同时计算γ射线探测响应函数和能量校准方程所需的参数。随后，使用优化结果计算值。通过将 TPS 探测器的测量光谱与蒙特卡罗 N 粒子模拟获得的光谱进行比较，证明了优化性能。此外，我们确认计算值与参考值一致。