2013
DOI: 10.1088/1748-0221/8/12/p12005
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Neutron generator burst timing measured using a pulse shape discrimination plastic scintillator with silicon photomultiplier readout

Abstract: An EJ-299-34 plastic scintillator with silicon photomultiplier (SiPM) readout was used to measure the fast neutron output of a pulsed Thermo-Fisher A-325 Deuterium-Tritium sealed tube neutron generator (STNG). The SiPM signals were handled by a prototype digital pulse processing system, based on a freerunning analogue to digital converter feeding a digital signal processor (DSP). Pulse shape discrimination was used to distinguish between detected fast-neutrons and gammas. Pulse detection, timing, energy and sh… Show more

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Cited by 12 publications
(4 citation statements)
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“…To further pursue this notion, we are developing a low-cost and compact digital pulse processor [46]. The pulse detection, timing, and weighted integration are performed in real-time by a digital signal processor.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…To further pursue this notion, we are developing a low-cost and compact digital pulse processor [46]. The pulse detection, timing, and weighted integration are performed in real-time by a digital signal processor.…”
Section: Discussionmentioning
confidence: 99%
“…The EJ-299-34 scintillator, with FB60035 readout and digital pulse processor has been demonstrated as an on-line monitor for pulsed fast-neutron sources used in industry [46]. Another application being explored is the design of a lightweight and portable detector for mixed-field survey and dosimetry.…”
Section: Discussionmentioning
confidence: 99%
“…transmission [22] Advantages: It has high penetration ability, and is easy to identify plastic explosives and other dangerous goods like drugs. It can be combined with X/γ radiography systems [11,23,24] for a comprehensive inspection.…”
Section: Fast Neutronmentioning
confidence: 99%
“…This means that pulse shape discrimination can be used to discriminate neutron signals from other signal types. Various pulse shape discrimination techniques include rise-time comparison [41], charge comparison algorithm [21], [22], [42], [43], digital filters [44]- [47], pulse gradient analysis [48], [49], frequency gradient analysis [50], [51], wavelet analysis [52]- [56], and artificial neural networks [57]- [60].…”
Section: Introductionmentioning
confidence: 99%