Technique for the measurement of intrinsic pulse-shape discrimination for organic scintillators using tagged neutrons
N. Mauritzson, K.G. Fissum, J.R.M. Annand, H. Perrey, R.J.W. Frost, R., Al Jebali, A. Backis, R. Hall-Wilton, K. Kanaki, V. Maulerova-Subert, C., Maurer, F. Messi, E. Rofors

TL;DR
This study evaluates the pulse-shape discrimination capabilities of NE 213A and EJ 305 organic scintillators for fast neutrons and gamma rays using a neutron-tagging technique and waveform analysis, providing detailed performance insights.
Contribution
It introduces a neutron-tagging method combined with waveform digitization to quantitatively assess pulse-shape discrimination in organic scintillators.
Findings
NE 213A exhibits superior pulse-shape discrimination compared to EJ 305.
The neutron-tagging technique enables detailed mapping of discrimination performance.
Pulse shape analysis improves understanding of scintillator capabilities for neutron detection.
Abstract
Fast-neutron/gamma-ray pulse-shape discrimination has been performed for the organic liquid scintillators NE 213A and EJ 305 using a time-of-flight based neutron-tagging technique and waveform digitization on an event-by-event basis. Gamma-ray sources and a Geant4-based simulation were used to calibrate the scintillation-light yield. The difference in pulse shape for the neutron and gamma-ray events was analysed by integrating selected portions of the digitized waveform to produce a figure-of-merit for neutron/gamma-ray separation. This figure-of-merit has been mapped as a function of detector threshold and also of neutron energy determined from time-of-flight. It shows clearly that the well-established pulse-shape discrimination capabilities of NE 213A are superior to those of EJ 305. The extra information provided by the neutron-tagging technique has resulted in a far more detailed…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
