| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 14003 | |
| Number of page(s) | 6 | |
| Section | Monte Carlo Simulation: Applications / Detectors | |
| DOI | https://doi.org/10.1051/epjconf/202430214003 | |
| Published online | 15 October 2024 | |
https://doi.org/10.1051/epjconf/202430214003
Gamma-ray measurement for classification of fuel debris and waste
1 Japan Atomic Energy Agency, Tokai, Ibaraki, Japan
2 Tousou Mirai Technology Co.Ltd., Ohkuma, Futaba, Fukushima, Japan
* Corresponding author: shiba.tomooki@jaea.go.jp
Published online: 15 October 2024
The detection of prompt fission gamma-rays and Tl-208 decay gamma-rays, which are unique to nuclear materials, could be applied to sorting nuclear fuel debris and radioactive waste from the Fukushima Daiichi Nuclear Power Plant. To confirm its technical feasibility, particle transport calculations using the Monte Carlo N-Particle code were performed.
© The Authors, published by EDP Sciences, 2024
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