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arXiv 1707.09362physics.ins-detnucl-ex
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具有$\it{n}$ - $γ$鉴别能力的中高能中子多层塑料闪烁探测器

Multi-layer plastic scintillation detector for intermediate- and high-energy neutrons with $\it{n}$-$γ$ discrimination capability

L. Yu, S. Terashima, H. J. Ong, P. Y. Chan, I. Tanihata, C. Iwamoto, D. T. Tran, A. Tamii, N. Aoi, H. Fujioka, G. Gey, H. Sakaguchi, A. Sakaue, B. H. Sun, T. L.… 展开作者

L. Yu, S. Terashima, H. J. Ong, P. Y. Chan, I. Tanihata, C. Iwamoto, D. T. Tran, A. Tamii, N. Aoi, H. Fujioka, G. Gey, H. Sakaguchi, A. Sakaue, B. H. Sun, T. L. Tang, T. F. Wang, Y. N. Watanabe, G. X. Zhang

摘要:

本文报道了一种新型的堆结构固体有机闪烁体(S $^4$)中子探测器的研制和实验结果。它由多层塑料闪烁体组成,具有抑制低能$γ$射线的能力。为了实现$\it{n}$ - $γ$区分,我们利用闪烁体材料中中子和$γ$射线的相互作用产生的次级带电粒子的范围的差异。塑料闪烁体层的厚度是基于使用Geant 4工具包的Monte Carlo模拟的结果来确定的。层厚度为5 mm时,我们在5 MeV $_{\rm ee}$阈值设置下实现了中子和$γ$射线之间的良好分离。我们还确定了探测效率使用单能中子在两个能量产生的$\it{d}$ + $\it{d}\to\it{n}$ + $^{3}$ He反应。计算结果与Geant 4采用Li $\grave{\rm e}$ ge核内级联强子模型(INCL++)和高精度低能中子相互作用模型(NeutronHP)的模拟结果吻合较好。

英文摘要:

A new type of neutron detector, named Stack Structure Solid organic Scintillator (S$^4$), consisting of multi-layer plastic scintillators with capability to suppress low-energy $γ$ rays under high-counting rate has been constructed and tested. To achieve $\it{n}$-$γ$ discrimination, we exploit the difference in the ranges of the secondary charged particles produced by the interactions of neutrons and $γ$ rays in the scintillator material. The thickness of a plastic scintillator layer was determined based on the results of Monte Carlo simulations using the Geant4 toolkit. With layer thicknesses of 5 mm, we have achieved a good separation between neutrons and $γ$ rays at 5 MeV$_{\rm ee}$ threshold setting. We have also determined the detection efficiencies using monoenergetic neutrons at two energies produced by the $\it{d}$+$\it{d}\to\it{n}$+$^{3}$He reaction. The results agree well with the Geant4 simulations implementing the Li$\grave{\rm e}$ge Intranuclear Cascade hadronic model (INCL++) and the high-precision model of low-energy neutron interactions (NeutronHP).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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