Digital pulse-shape discrimination of fast neutrons and gamma rays
P.-A. S\"oderstr\"om, J. Nyberg, R. Wolters

TL;DR
This study demonstrates that digital pulse-shape discrimination techniques can effectively distinguish fast neutrons from gamma rays in liquid scintillators, with performance comparable or superior to traditional analogue methods, using optimized sampling parameters.
Contribution
The paper introduces and compares four digital pulse-shape analysis algorithms for neutron-gamma discrimination, showing digital methods can outperform analogue systems with appropriate ADC specifications.
Findings
Digital algorithms achieve similar or better discrimination figures-of-merit than analogue.
A 12-bit, 100 Ms/s ADC suffices for optimal discrimination in the studied energy range.
Sampling frequency influences time resolution, with 100 Ms/s yielding 1.7 ns FWHM.
Abstract
Discrimination of the detection of fast neutrons and gamma rays in a liquid scintillator detector has been investigated using digital pulse-processing techniques. An experimental setup with a 252Cf source, a BC-501 liquid scintillator detector, and a BaF2 detector was used to collect waveforms with a 100 Ms/s, 14 bit sampling ADC. Three identical ADC's were combined to increase the sampling frequency to 300 Ms/s. Four different digital pulse-shape analysis algorithms were developed and compared to each other and to data obtained with an analogue neutron-gamma discrimination unit. Two of the digital algorithms were based on the charge comparison method, while the analogue unit and the other two digital algorithms were based on the zero-crossover method. Two different figure-of-merit parameters, which quantify the neutron-gamma discrimination properties, were evaluated for all four…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
