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Nuclear Scene Data Fusion (SDF), implemented in the Localization and MappingPlatform (LAMP) fuses three-dimensional (3D), real-time volumetricreconstructions of radiation sources with contextual information (e.g. LIDAR,camera, etc.) derived from the environment around the detector system. Thisinformation, particularly when obtained in real time, may be transformative forapplications, including directed search for lost or stolen sources, consequencemanagement after the release of radioactive materials, or contaminationavoidance in security-related or emergency response scenarios. 3Dreconstructions enabled by SDF localize contamination or hotspots to specificareas or objects, providing higher resolution over larger areas thanconventional 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 toneutron source localization. Here we integrate LAMP with a custom$Cs_2LiLa(Br,Cl)_6:Ce$ (CLLBC) scintillator detector sensitive to bothgamma-rays and neutrons, which we dub Neutron Gamma LAMP (NG-LAMP). NG-LAMPenables simultaneous neutron and gamma-ray mapping with high resolutiongamma-ray spectroscopy. We demonstrate the ability to detect and localizesurrogate Special Nuclear Materials (SNM) in real-time and in 3D based onneutron signatures alone, which is critical for the detection of heavilyshielded SNM, when gamma-ray signatures are attenuated. In this work, we showfor the first time the ability to localize, in 3D and realtime, a neutronsource in the presence of a strong gamma-ray source, simultaneous andspectroscopic localization of three gamma-ray sources and a neutron source, andfinally the localization of a surrogate SNM source based on neutron signaturesalone, where gamma-ray data are consistent with background.

3D Gamma-ray and Neutron Mapping in Real-Time with the Localization and Mapping Platform from Unmanned Aerial Systems and Man-Portable Configurations