Software realization of real-time neutrons and γ-rays pulse shape discrimination using CUDA platform

The two pulse shape discrimination methods were implemented in real-time. The pulse gradient analysis method was implemented programmatically on PC. The method based on artificial neural network was programmatically implemented using CUDA platform. It is shown that both implementations can provide up to 10
⁶
pulses per second processing performance. The results for pulse shape discrimination using polycrystalline stilbene and LiF detectors were shown.