A passive efficiency calibration method with Monte Carlo simulation in segmented gamma scanning

Zheng Honglong; Tuo Xianguo; Gou Jiayuan; Wu Yao; Zuo Wei; Guo Yufei; He Lin; Liu Yanfang; Huang Cong; Yang Linfeng; Liu Wei

doi:10.11884/HPLPB202032.190416

Volume 32 Issue 4

Mar. 2020

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Article Navigation > High Power Laser and Particle Beams > 2020 > 32(4): 046002

Zheng Honglong, Tuo Xianguo, Gou Jiayuan, et al. A passive efficiency calibration method with Monte Carlo simulation in segmented gamma scanning[J]. High Power Laser and Particle Beams, 2020, 32: 046002. doi: 10.11884/HPLPB202032.190416

Citation:

Zheng Honglong, Tuo Xianguo, Gou Jiayuan, et al. A passive efficiency calibration method with Monte Carlo simulation in segmented gamma scanning[J]. High Power Laser and Particle Beams, 2020, 32: 046002. doi: 10.11884/HPLPB202032.190416

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A passive efficiency calibration method with Monte Carlo simulation in segmented gamma scanning

doi: 10.11884/HPLPB202032.190416

1.
Sichuan Engineering Laboratory for Nuclear Facilities Decommissioning and Radwaste Management, Sub-institute of Nuclear Power Institute of China, Chengdu 610005, China
2.
Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory, Southwest University of Science and Technology, Mianyang 621010, China

Received Date: 2019-10-29
Rev Recd Date: 2019-12-21
Publish Date: 2020-03-06

Abstract

Abstract

In this work, an efficiency calibration function model is presented to calculate the efficiency of segment in segmented gamma scanning (SGS) for 200 L nuclear waste drum. Discrete SGS efficiencies are simulated with MCNP for different densities and gamma ray energies. Parameters of function are determined by using multivariate nonlinear regression method with the efficiencies. The SGS efficiency calibration function is constructed to calculate the efficiency matrix. Aluminum silicate with density of 0.310 g·cm⁻³, wood fiber of 0.595 g·cm⁻³, point sources ¹³⁷Cs with activity of 3.110×10⁵ Bq and ⁶⁰Co of 1.371×10⁵ Bq are used to construct samples of drum for SGS analysis. Result shows: for the extremely heterogeneous radioisotope distribution of only a point source placed at 8 different positions in the drum, errors of reconstructed activities are −37.68%～31.52%. Overall, the reconstructed activity is in agreement with the true activity. This method effectively and accurately achieves SGS efficiency calculation and reconstruction of activity.
- nuclear waste drum,
- segmented gamma scanning,
- Monte Carlo,
- efficiency calibration,
- function,
- MLEM algorithm

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References(17)

References

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