Digital discrimination of neutrons and -rays in liquid scintillators using pulse gradient analysis

D'Mellow, Bob; Aspinall, Michael; Mackin, R. O.; Joyce, Malcolm J.; Peyton, A. J.

doi:10.1016/j.nima.2007.04.174

Cited by 154 publications

(77 citation statements)

References 14 publications

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“…As another verification, we apply the PGA method to the same pulses dataset. PGA method, introduced in [3], is recognized as an efficient n=c discrimination method with a high FoM. The slower decay of the light function of a scintillator for a neutron interaction than that for a c-ray interaction is exploited in this method.…”

Section: Discussionmentioning

confidence: 99%

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Quick algorithms for real-time discrimination of neutrons and gamma rays

Amiri

Přenosil

Cvachovec

et al. 2014

J Radioanal Nucl Chem

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Several new methods for the digital discrimination of neutrons and gamma-rays in a mixed radiation field are presented. The methods introduced discriminate neutrons and gamma rays successfully in the digital domain. They are mathematically simple and exploit samples during the life time of the pulse, hence appropriate for field measurements. All these methods are applied to a set of mixed neutron and photon signals from a stilbene scintillator and their discrimination qualities are compared.

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Section: Discussionmentioning

confidence: 99%

“…where S is the separation between the peaks of the two events, FWHM c is the full-width half-maximum (FWHM) of the spread of events classified as gamma-rays and FWHM n is the FWHM of the spread in the neutron peak [3]. FWHMs are calculated using the Gaussian fits to the neutron and gamma-ray events on experimental distribution plot.…”

Section: Introductionmentioning

confidence: 99%

Quick algorithms for real-time discrimination of neutrons and gamma rays

Amiri

Přenosil

Cvachovec

et al. 2014

J Radioanal Nucl Chem

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“…In order to verify the performance of the methods introduced in this article, we apply PGA method to the same pulse data sets as used for the methods in this paper. PGA method, introduced in [3], is recognized as an efficient n/γ-ray discrimination method with a high FoM. The slower decay of the light function of a scintillator for a neutron interaction than that for a γ-ray interaction is exploited in this method.…”

Section: Improved Algorithmmentioning

confidence: 99%

Neutron/gamma-ray discrimination through measures of fit

Amiri

Přenosil

Cvachovec

2015

2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and Their Applications (ANIMMA

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Abstract-Statistical tests and their underlying measures of fit can be utilized to separate neutron/gamma-ray pulses in a mixed radiation field. In this article, first the application of a sample statistical test is explained. Fit measurement-based methods require true pulse shapes to be used as reference for discrimination. This requirement makes practical implementation of these methods difficult; typically another discrimination approach should be employed to capture samples of neutrons and gamma-rays before running the fit-based technique. In this article, we also propose a technique to eliminate this requirement. These approaches are applied to several sets of mixed neutron and gamma-ray pulses obtained through different digitizers using stilbene scintillator in order to analyze them and measure their discrimination quality.Index Terms-Counter/discriminator, statistical test, measures of fit, neutron spectroscopy, organic scintillator.

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“…Much work has already been done on the problem of discrimination of digitally acquired / pulses [14][15][16][17][18][19][20][21][22][23]. Neutron pulses have a delayed component (tail) compared to gamma pulses, and similar to analog electronics two or more parameters are typically extracted from the pulses to judge whether they are neutron or gamma pulses.…”

Section: Parametrization Of Ls Pulsesmentioning

confidence: 99%

“…refs. [14][15][16][17][18][19][20][21][22][23]. A comparison of four common algorithms for pulse shape discrimination is given in [21] demonstrating the capabilities of each approach.…”

Section: Parametrization Of Ls Pulsesmentioning

confidence: 99%

Digital liquid-scintillation counting and effective pulse-shape discrimination with artificial neural networks

Langrock¹,

Wiehl

Kling

et al. 2014

Radiochimica Acta

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A typical problem in low-level liquid scintillation (LS) counting is the identification of particles in the presence of a high background of and particles. Especially the occurrence of -and -pile-ups may prevent the unambiguous identification of an signal by commonly used analog electronics. In this case, pulseshape discrimination (PSD) and pile-up rejection (PUR) units show an insufficient performance. This problem was also observed in own earlier experiments on the chemical behaviour of transactinide elements using the liquidliquid extraction system SISAK in combination with LS counting. -particle signals from the decay of the transactinides could not be unambiguously assigned. However, the availability of instruments for the digital recording of LS pulses changes the situation and provides possibilities for new approaches in the treatment of LS pulse shapes. In a SISAK experiment performed at PSI, Villigen, a fast transient recorder, a PC card with oscilloscope characteristics and a sampling rate of 1 giga samples s −1 (1 ns per point), was used for the first time to record LS signals. It turned out, that the recorded signals were predominantly , -and -pile up, and fission events. This paper describes the subsequent development and use of artificial neural networks (ANN) based on the method of "backpropagation of errors" to automatically distinguish between different pulse shapes. Such networks can "learn" pulse shapes and classify hitherto unknown pulses cor- rectly after a learning period. The results show that ANN in combination with fast digital recording of pulse shapes can be a powerful tool in LS spectrometry even at high background count rates.

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Digital discrimination of neutrons and -rays in liquid scintillators using pulse gradient analysis

Cited by 154 publications

References 14 publications

Quick algorithms for real-time discrimination of neutrons and gamma rays

Quick algorithms for real-time discrimination of neutrons and gamma rays

Neutron/gamma-ray discrimination through measures of fit

Digital liquid-scintillation counting and effective pulse-shape discrimination with artificial neural networks

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