We developed machine learning algorithms for distinguishing scintillation
signals from a plastic-liquid coupled detector known as a phoswich. The
challenge lies in discriminating signals from organic scintillators with
similar shapes and short decay times. Using a single-readout phoswich detector,
we successfully identified γ radiation signals from two scintillating
components. Our Boosted Decision Tree algorithm demonstrated a maximum
discrimination power of 3.02 ± 0.85 standard deviation in the 950 keV
region, providing an efficient solution for self-shielding and enhancing
radiation detection capabilities.Comment: 11pages, 7 figure