High Power Laser and Particle Beams, Volume. 32, Issue 4, 046002(2020)

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

Honglong Zheng1, Xianguo Tuo2、*, Jiayuan Gou1, Yao Wu1, Wei Zuo1, Yufei Guo1, Lin He1, Yanfang Liu1, Cong Huang1, Linfeng Yang1, and Wei Liu1
Author Affiliations
  • 1Sichuan Engineering Laboratory for Nuclear Facilities Decommissioning and Radwaste Management, Sub-institute of Nuclear Power Institute of China, Chengdu 610005, China
  • 2Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory, Southwest University of Science and Technology, Mianyang 621010, China
  • show less

    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.

    Tools

    Get Citation

    Copy Citation Text

    Honglong Zheng, Xianguo Tuo, Jiayuan Gou, Yao Wu, Wei Zuo, Yufei Guo, Lin He, Yanfang Liu, Cong Huang, Linfeng Yang, Wei Liu. A passive efficiency calibration method with Monte Carlo simulation in segmented gamma scanning[J]. High Power Laser and Particle Beams, 2020, 32(4): 046002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Oct. 29, 2019

    Accepted: --

    Published Online: Mar. 30, 2020

    The Author Email: Tuo Xianguo (tuoxg@cdut.edu.cn)

    DOI:10.11884/HPLPB202032.190416

    Topics