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Original Research

Application of the Deconvolution Method to Alpha-Ray Energy Spectrum to Improve the Performance of a Radiation Airborne Particulate Monitor

초록

영어

Background: At nuclear facilities and decommissioning sites, monitoring radioactivity concentrations in airborne particulates is crucial to prevent worker exposure. To avoid internal exposure, alpha-decay radionuclides must be detected. When monitoring alpha-decay radionuclides in airborne dust, we want to measure the concentration of only artificial radionuclides (e.g. , 238Pu, 239Pu, 240Pu, 235U, 238U, 241Am, and 244Cm). The radioactivity concentration must be measured separately for artificial (4.3–5.8 MeV) and natural radionuclides (212Bi, 214Po, and 212Po at 6.0, 7.7, and 8.8 MeV, respectively). Materials and Methods: We created response functions for various alpha-ray energies using a radiation simulation toolkit. Utilizing these response functions, we deconvolved the alpha-ray energy spectra measured while collecting dust on filter paper. To ensure the precision of the response function, we prepared a model including the distance between the filter and the detector and the structure of the light shield in detail. Results and Discussion: The deconvolved spectra had three clear peaks at 6.0, 7.7, and 8.8 MeV. These energies were consistent with those of 212Bi, 214Po, and 212Po. The deconvolved energy spectra showed that only a few measurements (4.0–5.8 MeV) were included in the energy range due to artificial radionuclides. From these measurements, the decision threshold for artificial radionuclides was determined to be about 1.5×10−7 Bq/cm3. Conclusion: Our findings demonstrated that we could measure artificial and natural radionuclides separately with the deconvolved alpha-ray energy spectra. Specifically, we were able to monitor artificial radionuclides down to low radioactivity concentrations in 10-minute measurements.

목차

ABSTRACT
Introduction
Materials and Methods
1. Setup for Alpha-Ray Spectroscopy
2. Preparation of the Response Matrix
3. Algorithm of the Deconvolution Process
Results and Discussion
1. Spectra with Checking Source
2. Performance of Deconvolved Spectra with Airborne Dust Sample
3. Decay of Natural Alpha-Ray Emitting Nuclides
4. Correlation Between Alpha- and Beta-Ray Activities
Conclusion
Conflict of Interest
Acknowledgements
Ethical Statement
Author Contribution
References

저자정보

  • Makoto Sasano Mitsubishi Electric Corporation, Amagasaki, Japan
  • Masateru Hayashi Mitsubishi Electric Corporation, Amagasaki, Japan
  • Yusuke Yanagawa Mitsubishi Electric Plant Engineering Corporation, Kobe, Japan
  • Masatoshi Kai Mitsubishi Electric Plant Engineering Corporation, Kobe, Japan
  • Yasushi Nakano Mitsubishi Electric Plant Engineering Corporation, Kobe, Japan
  • Yoshitsugu Osawa Mitsubishi Electric Plant Engineering Corporation, Kobe, Japan
  • Shunsuke Kurosawa Institute for Materials Research, Tohoku University, Sendai, Japan/Institute of Lase Engineering, Osaka University, Suita, Japan
  • Yuki Morishita Japan Atomic Energy Agency, Tokaimura, Japan

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