3D Gamma-ray和中子测绘实时与定位和测绘平台从无人机系统和便携式无人机
3D Gamma-ray and Neutron Mapping in Real-Time with the Localization and Mapping Platform from Unmanned Aerial Systems and Man-Portable Configurations
摘要：
核场景数据融合（SDF），在定位和映射平台（LAMP）中实现，融合辐射源的三维（3D）实时体积重建与上下文信息（例如，激光雷达，相机等）。来自探测器系统周围的环境。这些信息，特别是实时获得的信息，可能会对各种应用产生变革性影响，包括对丢失或被盗放射源的定向搜索、放射性材料释放后的后果管理，或在安全相关或应急响应场景中避免污染。SDF支持的3D重建将污染或热点定位到特定区域或对象，在更大的区域上提供比传统2D方法更高的分辨率，并实现更有效的规划和响应，特别是在复杂的3D环境中。在这项工作中，我们提出了扩展这些伽玛射线映射的概念，中子源定位。在这里，我们集成了一个定制的$Cs_2LiLa(Br,Cl)_6:Ce$（CLLBC）闪烁体探测器敏感的伽马射线和中子，我们称之为中子伽马灯（NG-LAMP）的大面积无掩模光敏二极管。NG-LAMP可通过高分辨率伽马射线光谱同时进行中子和伽马射线测绘。我们证明了能够检测和本地化的替代特殊核材料（SNM）的实时和3D的基础上单独的中子签名，这是至关重要的检测高度屏蔽的SNM，当伽马射线签名衰减。在这项工作中，我们首次展示了在3D和实时定位中子源的能力，在强伽马射线源的存在下，三个伽马射线源和一个中子源的同时和光谱定位，最后仅基于中子特征的替代SNM源的定位，其中伽马射线数据与背景一致。
英文摘要：
Nuclear Scene Data Fusion (SDF), implemented in the Localization and Mapping Platform (LAMP) fuses three-dimensional (3D), real-time volumetric reconstructions of radiation sources with contextual information (e.g. LIDAR, camera, etc.) derived from the environment around the detector system. This information, particularly when obtained in real time, may be transformative for applications, including directed search for lost or stolen sources, consequence management after the release of radioactive materials, or contamination avoidance in security-related or emergency response scenarios. 3D reconstructions enabled by SDF localize contamination or hotspots to specific areas or objects, providing higher resolution over larger areas than conventional 2D approaches, and enabling more efficient planning and response, particularly in complex 3D environments. In this work, we present the expansion of these gamma-ray mapping concepts to neutron source localization. Here we integrate LAMP with a custom $Cs_2LiLa(Br,Cl)_6:Ce$ (CLLBC) scintillator detector sensitive to both gamma-rays and neutrons, which we dub Neutron Gamma LAMP (NG-LAMP). NG-LAMP enables simultaneous neutron and gamma-ray mapping with high resolution gamma-ray spectroscopy. We demonstrate the ability to detect and localize surrogate Special Nuclear Materials (SNM) in real-time and in 3D based on neutron signatures alone, which is critical for the detection of heavily shielded SNM, when gamma-ray signatures are attenuated. In this work, we show for the first time the ability to localize, in 3D and realtime, a neutron source in the presence of a strong gamma-ray source, simultaneous and spectroscopic localization of three gamma-ray sources and a neutron source, and finally the localization of a surrogate SNM source based on neutron signatures alone, where gamma-ray data are consistent with background.
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