Frontiers in Physics (Mar 2024)

Pulse shape discrimination in an organic scintillation phoswich detector using machine learning techniques

  • Yujin Lee,
  • Jinyoung Kim,
  • Byoung-cheol Koh,
  • Young Soo Yoon,
  • Chang Hyon Ha

DOI
https://doi.org/10.3389/fphy.2024.1361608
Journal volume & issue
Vol. 12

Abstract

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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.

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