Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Measurements of low dose rates of gamma-rays using position-sensitive plastic scintillation optical fiber detector

  • Song, Siwon (School of Energy Systems Engineering, Chung-Ang University) ;
  • Kim, Jinhong (School of Energy Systems Engineering, Chung-Ang University) ;
  • Park, Jae Hyung (School of Energy Systems Engineering, Chung-Ang University) ;
  • Kim, Seunghyeon (School of Energy Systems Engineering, Chung-Ang University) ;
  • Lim, Taeseob (School of Energy Systems Engineering, Chung-Ang University) ;
  • Kim, Jin Ho (School of Energy Systems Engineering, Chung-Ang University) ;
  • Kim, Sin (School of Energy Systems Engineering, Chung-Ang University) ;
  • Lee, Bongsoo (School of Energy Systems Engineering, Chung-Ang University)
  • Received : 2022.02.08
  • Accepted : 2022.03.30
  • Published : 2022.09.25
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Abstract

We fabricated a 15 m long position-sensitive plastic scintillation optical fiber (PSOF) detector consisting of a PSOF, two photomultiplier tubes, four fast amplifiers, and a digitizer. A single PSOF was used as a sensing part to estimate the gamma-ray source position, and 137Cs, an uncollimated solid-disk-type radioactive isotope, was used as a gamma-ray emitter. To improve the sensitivity, accuracy, and measurement time of a PSOF detector compared to those of previous studies, the performance of the amplifier was optimized, and the digital signal processing (DSP) was newly designed in this study. Moreover, we could measure very low dose rates of gamma-rays with high sensitivity and accuracy in a very short time using our proposed PSOF detector. The results of this study indicate that it is possible to accurately and quickly locate the position of a very low dose rate gamma-ray source in a wide range of contaminated areas using the proposed position-sensitive PSOF detector.

Keywords

Acknowledgement

This work was supported by the Chung-Ang University Research Scholarship Grants in 2019 and a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020M2D2A2062457, No. 2020M2D8A2066404).

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