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 ›› 2019, Vol. 30 ›› Issue (8): 124 doi: 10.1007/s41365-019-0641-z

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Neutron penetrations in labyrinths under different beam losses

Yao Yang 1,2 • Wu-Yuan Li 1 • You-Wu Su 1 • Wei-Wei Yan 1 • Wang Mao 1 • Yang Li 1 • Bo Yang 1,2 • Li-Jun Wang 1   

  1. 1 Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
    2 University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2018-12-20 Revised:2019-04-14 Accepted:2019-04-17
  • Contact: You-Wu Su
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Yao Yang, Wu-Yuan Li, You-Wu Su, Wei-Wei Yan, Wang Mao, Yang Li, Bo Yang, Li-Jun Wang. Neutron penetrations in labyrinths under different beam losses.Nuclear Science and Techniques, 2019, 30(8): 124     doi: 10.1007/s41365-019-0641-z

Abstract: Multiple analytical methods and Monte Carlo simulations were performed to evaluate neutron penetration in straight and curved labyrinths. Factors studied included variations in beam losses of off-axis point source, on-axis point source, and line source. For the straight labyrinth, it was found that the analytical expressions neglect the dose rate platform appearing at the bend of the labyrinth, and the agreement between analytical methods and Monte Carlo estimation was related to the type of neutron source term. For the curved labyrinth, the neutron attenuation length obtained under different conditions was nearly identical and appeared to be in quite good accord with the empirical formula calculation. Moreover, the neutron energy spectra along the centerline distance of the labyrinth were also analyzed. In the first leg, differences in beam loss led to variance in the distribution of spectra, while in the second and subsequent legs, the spectra were similar, where the main contributors were thermal neutrons. This work is valuable for practical design of the labyrinths in the accelerator facilities.

Key words: Neutron penetration, Labyrinth, Beam loss, Analytical method, Monte Carlo code