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Development of gamma-spectrum data generation method by Monte Carlo simulation

  • Original Paper - Particles and Nuclei
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Abstract

A digital twin system for a gamma-ray spectrometer was developed using the Geant4 Monte Carlo simulation toolkit and a dedicated novel methodology. The model system was verified to accurately represent the intrinsic characteristics of gamma-ray detection systems: not only Gaussian energy broadening caused by energy resolution, but also count loss and coincidence summing caused by the dead time and charge collection time, respectively, of the detector system. In order to represent the time-related phenomena, the results of the Monte Carlo simulation were printed out in list-mode data rather than (as in existing previous studies) as a simple energy spectrum. The list-mode data were then post-processed considering the characteristics of the gamma-ray detection systems. The model system was verified by comparison with real-world experimental data using radiation sources (137Cs and 60Co) and a high-purity germanium detector, the results of which showed that the spectra generated by the model well matched the experimental spectra throughout the entire energy range (0–3 MeV), with correlations of 94.3 and 94.6% for 137Cs and 60Co, respectively.

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Acknowledgements

The authors would like to thank the Korea Atomic Energy Research Institute (KAERI) for the financial support of these studies under grants NRF-2017M2A2A6A05018528 and NRF-2018M2A2B3A06071695 from the National Research Foundation of Korea (NRF) and No. 2020-Tech-14 from the KOREA HYDRO & NUCLEAR POWER CO., LTD (KHNP). The authors would also like to thank all of those who contributed to the acquisition of research material.

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Authors and Affiliations

  1. HANARO Utilization Division, Korea Atomic Energy Research Institute, Daejeon, 34057, Korea

    Jinhyung Kwon, Jiseok Kim & Hanjin Kim

  2. Department of Nuclear Engineering, Hanyang University, Seoul, 04763, Korea

    Jinhyung Kwon & Hanjin Kim

  3. Department of Energy Policy and Engineering, KEPCO International Nuclear Graduate School, Ulsan, 45014, Korea

    SongHyun Kim

  4. Division of Advanced Nuclear Engineering, Pohang University of Science and Technology, Gyeongbuk, 37673, Korea

    Seungsoo Jang & Janghee Lee

  5. Decommissioning Technology Research Division, Korea Atomic Energy Research Institute, Daejeon, 34057, Korea

    Young-su Kim

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  1. Jinhyung Kwon
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  2. Jiseok Kim
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Correspondence to Young-su Kim.

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Kwon, J., Kim, J., Kim, H. et al. Development of gamma-spectrum data generation method by Monte Carlo simulation. J. Korean Phys. Soc. 82, 658–670 (2023). https://doi.org/10.1007/s40042-023-00760-7

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  • DOI: https://doi.org/10.1007/s40042-023-00760-7

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