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SINAPSE: A lightweight deep learning framework for accurate and explainable neutron-$γ$ discrimination
Traditionally, neutron-$γ$ discrimination in organic scintillators relies on techniques such as time-of-flight (ToF) selection and pulse-shape discrimination (PSD). However, particle identification through graphical cuts remains challenging in the low-charge regime due to poor signal-to-noise ratios
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