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

Amiri M, Přenosil V, Cvachovec F, Matěj Z, Mravec F - J Radioanal Nucl Chem (2014)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Informatics, Masaryk University, Brno, Czech Republic.

ABSTRACT

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.

No MeSH data available.


Segments of neutron and gamma-ray pulses, obtained from DC440 digitizer (12-bit resolution, 420 MS/s), when normalized to unity (using Eq. 4)
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Fig19: Segments of neutron and gamma-ray pulses, obtained from DC440 digitizer (12-bit resolution, 420 MS/s), when normalized to unity (using Eq. 4)

Mentions: In Eq. 5, a sample gamma-ray and a sample neutron are picked and used to build the weights. These samples need to be patterns representing the types of pulses contained in the whole data set. Therefore, more than one sample should be used for each pulse type to obtain better results. If we use number of pulses () from each radiation type to build the sample pulses required, then7\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} g(i)&= \frac{\sum _{j=1}^kg_j(i)}{k}\nonumber \\ n(i)&= \frac{\sum _{j=1}^kn_j(i)}{k} \end{aligned}$$\end{document}g(i)=∑j=1kgj(i)kn(i)=∑j=1knj(i)kOnce every point of the two sample pulses are built using the Eq. 7, they are normalized to unity using the Eq. 4 (as Fig. 19 illustrates), and then applied to the Eq. 5 to build the weight sequence (as shown in Fig. 20).Fig. 19


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

Amiri M, Přenosil V, Cvachovec F, Matěj Z, Mravec F - J Radioanal Nucl Chem (2014)

Segments of neutron and gamma-ray pulses, obtained from DC440 digitizer (12-bit resolution, 420 MS/s), when normalized to unity (using Eq. 4)
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4514667&req=5

Fig19: Segments of neutron and gamma-ray pulses, obtained from DC440 digitizer (12-bit resolution, 420 MS/s), when normalized to unity (using Eq. 4)
Mentions: In Eq. 5, a sample gamma-ray and a sample neutron are picked and used to build the weights. These samples need to be patterns representing the types of pulses contained in the whole data set. Therefore, more than one sample should be used for each pulse type to obtain better results. If we use number of pulses () from each radiation type to build the sample pulses required, then7\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} g(i)&= \frac{\sum _{j=1}^kg_j(i)}{k}\nonumber \\ n(i)&= \frac{\sum _{j=1}^kn_j(i)}{k} \end{aligned}$$\end{document}g(i)=∑j=1kgj(i)kn(i)=∑j=1knj(i)kOnce every point of the two sample pulses are built using the Eq. 7, they are normalized to unity using the Eq. 4 (as Fig. 19 illustrates), and then applied to the Eq. 5 to build the weight sequence (as shown in Fig. 20).Fig. 19

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Informatics, Masaryk University, Brno, Czech Republic.

ABSTRACT

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.

No MeSH data available.