Discrete Fourier Transform Method for Discrimination of Digital Scintillation Pulses in Mixed Neutron-Gamma Fields

TL;DR

This paper introduces a Discrete Fourier Transform Method (DFTM) for effectively discriminating neutron and gamma-ray signals in organic scintillation detectors, showing improved noise robustness and discrimination performance over traditional methods.

Contribution

The paper presents a novel DFT-based pulse shape discrimination technique that outperforms existing methods in noise resilience and discrimination quality.

Findings

DFTM achieves higher discrimination figures of merit than traditional methods.

Frequency domain methods are less sensitive to noise effects.

DFTM shows improved performance at low-light outputs and across energy ranges.

Abstract

A Discrete Fourier Transform Method (DFTM) for discrimination between the signal of neutrons and gamma rays in organic scintillation detectors is presented. The method is based on the transformation of signals into the frequency domain using the sine and cosine Fourier transforms in combination with the discrete Fourier transform. The method is largely benefited from considerable differences that usually is available between the zero-frequency components of sine and cosine and the norm of the amplitude of the DFT for neutrons and gamma-ray signals. Moreover, working in frequency domain naturally results in considerable suppression of the unwanted effects of various noise sources that is expected to be effective in time domain methods. The proposed method could also be assumed as a generalized nonlinear weighting method that could result in a new class of pulse shape discrimination methods, beyond definition of the DFT. A comparison to the traditional Charge Integration Method (CIM), as well as the Frequency Gradient Analysis Method (FGAM) and the Wavelet Packet Transform Method (WPTM) has been presented to demonstrate the applicability and efficiency of the method for real-world applications. The method, in general, shows better discrimination Figure of Merits (FoMs) at both the low-light outputs and in average over the studied energy domain. A noise analysis has been performed for all of the abovementioned methods. It reveals that the frequency domain methods (FGAM and DFTM) are less sensitive to the noise effects.