Optimization of plastic scintillator-based beta detection and offline data processing in a 4πβ–γ coincidence counting system
摘要
This study aims to optimize a beta detection system using EJ-212 plastic scintillators within a 4πβ–γ coincidence counting setup. It investigates how simulation-based design and offline data analysis can enhance the accuracy of radionuclide activity measurements, particularly for Cobalt-60.
MethodsThe system employs EJ-212 plastic scintillators as a beta detector and a NaI(Tl) as gamma detector. GEANT4 Monte Carlo simulations were conducted to determine optimal plastic scintillator design parameters. A high-speed CAEN digitizer was used to acquire beta and gamma signals with times tamp in binary list-mode format. A Python-based program was developed to perform post-acquisition processing, including implementation of dead time and coincidence event algorithms.
ResultsOptimal performance was achieved using two 1 mm EJ-212 scintillators without cavity, paired with optical grease and wrapped in Teflon. The setup provided efficient β detection while reducing γ absorption. Simulation outcomes showed strong agreement with experimental measurements, especially in the energy range up to 317 keV. The offline analysis enabled repeated application of algorithms on the same data, with the system accurately determining 60Co activity with a deviation of just 0.005 from the reference value.
ConclusionThe developed system effectively combines simulation-based optimization, digital pulse processing, and offline analysis to deliver reliable activity measurements. The offline analysis method enhances flexibility and reduces the need for repeated experiments, making the approach both time-efficient and precise for primary radionuclide activity determination.