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In the process of radioactive waste gamma scanning measurement, when the activity and medium are evenly distributed, the segmented gamma scanning measurement technology can obtain better reconstruction results. In actual measurement, due to the uneven distribution of activity, the use of SGS scanning is prone to introduce large errors. Based on the grid model division for efficiency calibration, the Tikhonov regularization method is applied to solve the activity and distribution of radionuclides in each grid. Compared with the traditional SGS method and the hierarchical iterative SGS method, it allows more accurate calibration and better measurement accuracy. It is suitable for scenarios where the activity distribution of the waste barrels under test is quite different and the hot spot distribution needs to be given through measurement.

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Research on Gamma Scanning Iterative Reconstruction Method Based on Tikhonov Regularization Method

  • 会议论文

  • 发表日期：

    2026年

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  • Hao Zhou,
  • Chenyu Shan,
  • Qingxin Lei,
  • Kang Chang,
  • Feng Liu,
  • Xiajie Liu,
  • Chaoyuan Xiao,
  • Yizhi Chen

摘要

In the process of radioactive waste gamma scanning measurement, when the activity and medium are evenly distributed, the segmented gamma scanning measurement technology can obtain better reconstruction results. In actual measurement, due to the uneven distribution of activity, the use of SGS scanning is prone to introduce large errors. Based on the grid model division for efficiency calibration, the Tikhonov regularization method is applied to solve the activity and distribution of radionuclides in each grid. Compared with the traditional SGS method and the hierarchical iterative SGS method, it allows more accurate calibration and better measurement accuracy. It is suitable for scenarios where the activity distribution of the waste barrels under test is quite different and the hot spot distribution needs to be given through measurement.