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 ›› 2020, Vol. 31 ›› Issue (5): 50 doi: 10.1007/s41365-020-00760-3


Evaluation of cosmogenic activation of copper and germanium during production in Jinping underground laboratory

Wei-He Zeng 1, 2, Hao Ma 1, 2, Ming Zeng 1, 2, Zhi Zeng 1, 2,  Qian Yue 1, 2, Jian-Ping Cheng1, 2, 3, Jun-Li Li 1, 2   

  1. 1Department of Engineering Physics, Tsinghua University, Beijing 100084, China
    2Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education, Beijing 100084, China
    3College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
  • Received:2020-02-10 Revised:2020-03-11 Accepted:2020-03-17
  • Contact: Zhi Zeng
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (No.U1865205).
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Wei-He Zeng, Hao Ma, Ming Zeng, Zhi Zeng, Qian Yue, Jian-Ping Cheng, Jun-Li Li . Evaluation of cosmogenic activation of copper and germanium during production in Jinping underground laboratory.Nuclear Science and Techniques, 2020, 31(5): 50     doi: 10.1007/s41365-020-00760-3

Abstract: Intrinsic radiation of materials is one of the major backgrounds for many rare-event search experiments. Thus, the production of pure materials in an underground laboratory is a promising approach for eliminating cosmogenic radionuclides. In this paper, we demonstrate a procedure to evaluate the yields of cosmogenic radionuclides in copper and germanium in the second phase of the China Jinping Underground Laboratory. Our results show that for copper and germanium materials, the largest cosmogenic background comes from 3H and 57,58,60Co, and 3H and 68Ge, respectively, which all have yields on the order of 10 -7 kg -1 · day -1 . The corresponding radioactivities after 90 days pf exposure underground are estimated to be lower than 10 -6 µBq · kg-1.

Key words: Cosmic rays, Cosmogenic radionuclides, Underground laboratory, Monte Carlo simulation