伽马射线探测器在非受控环境中的自动校准
Automatic calibration of gamma-ray detectors deployed in uncontrolled environments
AI总结：
本文提出一种基于软件的自动校准方法，通过全谱分析和蒙特卡洛物理探测器模型，在无主动温度控制的情况下实现稳定的能量校准，适用于城市网络和 homeland security 监测。
摘要：
部署在大型城市网络或 homeland security 监测中的辐射探测器必须在温度和环境本底辐射显著变化时保持可靠的能量校准。传统校准方法常依赖于高能耗的温度稳定或峰值锁定算法，易受环境变化影响。本文提出一种新型软件校准方法，通过全谱分析消除对主动温度控制的依赖。该方法通过拟合谱数据，结合背景辐射贡献（K、U、Th系列、氡后代和宇宙射线）和基于蒙特卡洛的物理探测器模型（包含光产额非比例性和光电倍增管饱和），持续更新校准参数。性能通过模拟数据、环境舱内宽温度范围（-25°C至+50°C）的测量以及多日户外现场数据验证。结果表明，该方法在显著的环境温度变化和降水事件中仍能保持稳定的能量校准。该技术有效解耦了仪器漂移与环境本底波动引起的谱变化。此方法提供了一种稳健、自动且低功耗的替代方案，使大规模无人值守探测器网络的部署成为可能。
英文摘要：
Radiation detectors deployed as part of a large urban network or for homeland security monitoring must maintain reliable energy calibration even when subjected to substantial variations in temperature and ambient background radiation. Traditional calibration methods often rely on power-intensive temperature stabilization or peak-locking algorithms that are susceptible to environmental changes. This publication presents a novel software-based calibration method that eliminates the need for active temperature control by utilizing full-spectrum analysis. The method continuously updates the calibration parameters by fitting the spectral data with a series of background radiation contributions (K, U, Th series, radon progeny and cosmics) combined with a Monte-Carlo-based physical detector model that incorporates light yield non-proportionality and photomultiplier tube saturation. Performance was validated using simulated data, measurements in an environmental chamber across a wide temperature range (-25C to +50C), and data from a multi-day outdoor field deployment. Results demonstrate that the method successfully maintains stable energy calibration despite significant ambient temperature variations and precipitation events. The technique effectively decouples instrumental drift from spectral changes caused by environmental background fluctuations. This approach provides a robust, automated, and low-power alternative to conventional calibration techniques, enabling the practical deployment of large-scale, unattended networked detector systems.
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