Neutron–gamma discrimination based on quantum clustering technique
| Autor: | Yadollah Lotfi, S. A. Moussavi-Zarandi, Esmaeil Bayat, Nima Ghal-Eh, E. Pourjafarabadi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Physics
Nuclear and High Energy Physics 010308 nuclear & particles physics Resolution (electron density) 02 engineering and technology Scintillator 01 natural sciences Computational physics Anode Data acquisition 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Calibration Neutron source 020201 artificial intelligence & image processing Neutron Instrumentation Energy (signal processing) |
| Zdroj: | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 928:51-57 |
| ISSN: | 0168-9002 |
| DOI: | 10.1016/j.nima.2019.03.009 |
| Popis: | In this study, the digital neutron–gamma discrimination (DNGD) has been undertaken based on the pulse-shape discrimination on the anode pulse of a 2” by 2” right cylinder BC501A liquid scintillator with a fast data acquisition card (14-bit resolution, 500 MS/s). Seven different features of the anode pulse have been extracted and the discrimination based on quantum clustering (DBQC) has been studied. The influence of three different parameters (i.e., η , σ and K) on the discrimination figure-of-merit (FoM) has been investigated. In addition, the FoM dependencies on different choices of DBQC features have been determined. A 100 mCi 241Am-Be neutron source has been used for the DNGD and the calibration has been made with a 1.1 μ Ci 22Na gamma-ray source. The results show that the FoM value is around 1 at 100 keVee bias energy, whilst this value can be improved up to 50% by choosing and setting appropriate features. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect