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103256

Efficient Discrimination of Neutron and Gamma Rays using Different Digital Pulse Processing Algorithms

Article

Last updated: 04 Jan 2025

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Subjects

-

Tags

Telecommunications and Signal Processing

Abstract

In different neutron measurement experiments, it is necessary to apply pulse processing method to distinguish neutron pulses from gamma pulses. The discrimination process is based on the different decaying response of the detector for both neutron and gamma events. Different proposed algorithms are presented in this paper for determining the radiation type of detector output. In the proposed algorithms, features are extracted from the input radiation event. These features are extracted using charge integration, Hilbert transformation, and matched filtering methods. The extracted features are then fed the discriminator which is an Artificial Neural Network (ANN) or Support Vector Machine (SVM) discriminators. The obtained results prove that, the proposed approaches can be used efficiently for the neutron and gamma discrimination purpose and that method based on the Hilbert transformation achieves the highest discrimination rates.

DOI

10.21608/mjeer.2020.103256

Keywords

Neutron and Gamma Rays Discrimination, PSD, SVM, ANN

Authors

First Name

M. E.

Last Name

Hammad

MiddleName

-

Affiliation

Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt

Email

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City

-

Orcid

-

First Name

H.

Last Name

Kasban

MiddleName

-

Affiliation

Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt

Email

-

City

-

Orcid

-

First Name

R. M.

Last Name

Fikry

MiddleName

-

Affiliation

Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt

Email

-

City

-

Orcid

-

First Name

Sayed M. S.

Last Name

Elaraby

MiddleName

-

Affiliation

Dept. of Communications Faculty of Electronic Engineeing, Menofia University Menouf, Egypt

Email

-

City

-

Orcid

-

First Name

M.I.

Last Name

Dessouky

MiddleName

-

Affiliation

Dept. of Communications Faculty of Electronic Engineeing, Menofia University Menouf, Egypt

Email

-

City

-

Orcid

-

First Name

O.

Last Name

Zahran

MiddleName

-

Affiliation

Dept. of Communications Faculty of Electronic Engineeing, Menofia University Menouf, Egypt

Email

-

City

-

Orcid

-

First Name

F. E.

Last Name

Abd El-Samie

MiddleName

-

Affiliation

Dept. of Communications Faculty of Electronic Engineeing, Menofia University Menouf, Egypt

Email

-

City

-

Orcid

-

Volume

29

Article Issue

2

Related Issue

15327

Issue Date

2020-07-01

Receive Date

2020-07-16

Publish Date

2020-07-01

Page Start

1

Page End

8

Print ISSN

1687-1189

Online ISSN

2682-3535

Article File

MJEER_Volume 29_Issue 2_Pages 1-8.pdf

PDF . 1.3MB

Link

https://mjeer.journals.ekb.eg/article_103256.html

Detail API

https://mjeer.journals.ekb.eg/service?article_code=103256

Order

1

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Efficient Discrimination of Neutron and Gamma Rays using Different Digital Pulse Processing Algorithms

Details

Type

Article

Created At

22 Jan 2023