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胡华四

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  • Education Level: With Certificate of Graduation for Doctorate Study
  • Professional Title: 教授
  • Status: Employed
  • Alma Mater: 西安交通大学
  • Have Any Overseas Experience: No
  • Foreign Personnel or Not: No

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Gamma-ray imaging with a time-modulated random coded aperture

Release Time:2025-04-30
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Date:
2025-04-30
Title of Paper:
Gamma-ray imaging with a time-modulated random coded aperture
Journal:
Review of Scientific Instruments
Summary:
Dongming Wang1,2,   Ivan N. Ruskov2,3, Huasi Hu1,a), Yuri N. Kopatch2, Dimitar N. Grozdanov2,3, Nikita A. Fedorov2, and Fuad A. Aliyev2,4
AFFILIATIONS
1 School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, China
2Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Moscow, Russian Federation
3Institute for Nuclear Research and Nuclear Energy of Bulgarian Academy of Sciences, Sofia, Bulgaria
4Institute of Geology and Geophysics of Azerbaijan National Academy of Sciences, H. Javid Ave. 119, Baku AZ1143, Azerbaijan
a)Electronic mail: huasi hu@mail.xjtu.edu.cn

ABSTRACT
In this article, we present a new industrial gamma-ray imaging system. This system takes advantage of a time-modulated
random coded aperture (TMRCA). The gamma-ray detector coupled to the TMRCA can be position-sensitive or nonposition-sensitive.
The TMRCA imaging system could offer the ability to identify radioactive sources without losing spatial
resolution. With a non-position-sensitive BGO detector, a prototype TMRCA imaging system was constructed. The
prototype system was investigated with two gamma-ray sources (137Cs, 60Co) and a 238Pu–Be neutron source, which
was placed in a paraffin moderator to produce an extended source. The experimental results suggest that the TMRCA
imaging system offers the opportunity to achieve high spatial-energy resolution cost-effectively for high-energy gamma
rays.
Published under license by AIP Publishing. https://doi.org/10.1063/1.5050211

Cite as: Rev. Sci. Instrum. 90, 015107 (2019);
Submitted: 27 July 2018 • Accepted: 19 December 2018 •
Published Online: 8 January 2019

 https://doi.org/10.1063/1.5050211
Co-author:
Dongming Wang, Ivan N. Ruskov, Huasi Hu, Yuri N. Kopatch, Dimitar N. Grozdan
Volume:
90
Page Number:
015107
Translation or Not:
No
Date of Publication:
2019-01-08