Pub Date : 2024-11-15DOI: 10.1109/TNS.2024.3497293
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An embedded system (ES) for gamma and neutron discrimination in mixed radiation environments is proposed, validated with an off-the-shelf detector consisting of a Cs2LiYCl6:Ce (CLYC) crystal coupled to a silicon photomultiplier (SiPM) cell array. This solution employs a machine learning classification model based on a multilayer perceptron (MLP) running on a commercial field-programmable gate array (FPGA), providing online single-event identification with 98.2% overall accuracy at rates higher than 200 kilocounts/s. Thermal neutrons and fast neutrons up to 5 MeV can be detected and discriminated from gamma events, even under pile-up scenarios with a dead-time lower than $2.5~mu $