Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2018, Vol. 29 ›› Issue (5): 70 doi: 10.1007/s41365-018-0401-5

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Identification of the unknown shielding parameters with gamma-ray spectrum using a derivative-free inverse radiation transport model

Ying Chen, Lian-Ping Zhang, Sa Xiao, Lun-Qiang Wu, Shan-Li Yang, Bing-Yuan Xia, Jian-Min Hu   

  1. Institute of materials, China Academy of Engineering Physics, Mianyang 621907, China
  • Contact: Ying Chen E-mail:cyingecho@caep.cn
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (Nos. 11605163 and 21504085), the China Academy of Engineering Physics Foundation for Development of Science and Technology (No. 2015B0103014 and No. 2015B0301063), the Foundation for Special Talents in China Academy of Engineering Physics (No. TP201502-3), and the Sichuan Science and Technology Development Foundation for Young Scientists (No. 2017Q0050).

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Ying Chen, Lian-Ping Zhang, Sa Xiao, Lun-Qiang Wu, Shan-Li Yang, Bing-Yuan Xia, Jian-Min Hu. Identification of the unknown shielding parameters with gamma-ray spectrum using a derivative-free inverse radiation transport model.Nuclear Science and Techniques, 2018, 29(5): 70     doi: 10.1007/s41365-018-0401-5

Abstract:

Identifying the unknown geometric and material information of a multi-shield object by analyzing the radiation signature measurements is always an important problem in national and global security. In order to identify the unknown shielding layer thicknesses of a source/shield system with gamma-ray spectra, we have developed a derivative-free inverse radiation transport model based on a differential evolution algorithm with global and local neighbourhoods (IRT-DEGL). In the present paper, the IRT-DEGL model is further extended for estimating the unknown thicknesses with random initial guesses and material mass densities of multi-shielding layers as well as their combinations. Using the detected gamma-ray spectra, the illustration of inverse studies is implemented and the main influence factors for inverse results are also analyzed.

Key words: Inverse problem, Derivative-free inverse radiation transport model, Gamma-ray spectrum, Multishielding layers