Heterogeneous Quasi-Continuous Spiking Cortical Model for Pulse Shape Discrimination

The present study introduces the heterogeneous quasi-continuous spiking cortical model (HQC-SCM) method as a novel approach for neutron and gamma-ray pulse shape discrimination. utilizes specific neural responses to extract features in falling edge delayed fluorescence parts of radiation signals. In addition, investigates contributions HQC-SCM’s parameters its discrimination performance, leading development an automatic parameter selection strategy. As HQC-SCM is chaotic system, genetic algorithm-based optimization was proposed locate local optima solutions efficiently robustly just few iterations evolution. experimental results this demonstrate that outperforms traditional state-of-the-art algorithms, including percentage slope, zero crossing, charge comparison, frequency gradient analysis, pulse-coupled network, ladder methods. outstanding performance enables plastic scintillators compete with liquid crystal scintillators’ ability. Additionally, other methods when dealing noisy Therefore, it effective robust can be applied detection systems across various fields.