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Investigation of enhancement in planar fast neutron detector efficiency with stacked structure using Geant4 被引量:2

Investigation of enhancement in planar fast neutron detector efficiency with stacked structure using Geant4
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摘要 Geant4 based Monte Carlo study has been carried out to assess the improvement in efficiency of the planar structure of Silicon Carbide(SiC)-based semiconductor fast neutron detector with the stacked structure. A proton recoil detector was simulated, which consists of hydrogenous converter, i.e., high-density polyethylene(HDPE) for generating recoil protons by means of neutron elastic scattering(n, p) reaction and semiconductor material SiC, for generating a detectable electrical signal upon transport of recoil protons through it. SiC is considered in order to overcome the various factors associated with conventional Si-based devices such as operability in a harsh radiation environment, as often encountered in nuclear facilities. Converter layer thickness is optimized by considering 10~9 neutron events of different monoenergetic neutron sources as well as ^(241)Am-Be neutron spectrum. It is found that the optimized thickness for neutron energy range of 1–10 MeV is ~400 μm. However, the efficiency of fast neutron detection is estimated to be only 0.112%,which is considered very low for meaningful and reliable detection of neutrons. To overcome this problem, a stacked juxtaposition of converter layer between SiC layers has been analyzed in order to achieve high efficiency. It is noted that a tenfold efficiency improvement has been obtained—1.04% for 10 layers stacked configuration vis-à-vis 0.112% of single converter layer detector. Further simulation of the stacked detector with respect to variable converter thickness has been performed to achieve the efficiency as high as ~3.85% with up to 50 stacks. Geant4 based Monte Carlo study has been carried out to assess the improvement in efficiency of the planar structure of Silicon Carbide (SiC)-based semiconductor fast neutron detector with the stacked structure. A proton recoil detector was simulated, which consists of hydrogenous converter, i.e., high-density polyethylene (HDPE) for generating recoil protons by means of neutron elastic scattering (n, p) reaction and semiconductor material SiC, for generating a detectable electrical signal upon transport of recoil protons through it. SiC is considered in order to overcome the various factors associated with conventional Si-based devices such as operability in a harsh radiation environment, as often encountered in nuclear facilities. Converter layer thickness is optimized by considering 10<sup>9</sup> neutron events of different monoenergetic neutron sources as well as <sup>241</sup>Am-Be neutron spectrum. It is found that the optimized thickness for neutron energy range of 1-10 MeV is ~ 400 μm. However, the efficiency of fast neutron detection is estimated to be only 0.112%, which is considered very low for meaningful and reliable detection of neutrons. To overcome this problem, a stacked juxtaposition of converter layer between SiC layers has been analyzed in order to achieve high efficiency. It is noted that a tenfold efficiency improvement has been obtained—1.04% for 10 layers stacked configuration vis-à-vis 0.112% of single converter layer detector. Further simulation of the stacked detector with respect to variable converter thickness has been performed to achieve the efficiency as high as ~ 3.85% with up to 50 stacks.
出处 《Nuclear Science and Techniques》 SCIE CAS CSCD 2017年第11期154-163,共10页 核技术(英文)
基金 supported by the grant of a research fellowship from Indira Gandhi Centre for Atomic Research,Department of Atomic Energy,India
关键词 GEANT4 Fast NEUTRON DETECTOR Silicon CARBIDE RECOIL PROTON Stacked DETECTOR Geant4 Fast neutron detector Silicon carbide Recoil proton Stacked detector
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  • 1V.A.Varlachev,E.G.Emets,Yu-Chen Mu,E.A.Bondarenko,V.A.Govorukhin.Determining absolute value of thermal neutron flux density based on monocrystalline silicon in nuclear reactors[J].Nuclear Science and Techniques,2022,33(7):133-138.
  • 2Rui He,Xiao‑Yang Niu,Yi Wang,Hong‑Wei Liang,Hong‑Bang Liu,Ye Tian,Hong‑Lin Zhang,Chao‑Jie Zou,Zhi‑Yi Liu,Yun‑Long Zhang,Hai‑Bo Yang,Ju Huang,Hong‑Kai Wang,Wei‑Jia Han,Bei Cao,Gang Chen,Cong Dai,Li‑Min Duan,Rui‑Rui Fan,Fang‑Fa Fu,Jian‑Hua Guo,Dong Han,Wei Jiang,Xian‑Qin Li,Xin Li,Zhuo‑Dai Li,Yu‑Tie Liang,Shun Liao,De‑Xu Lin,Cheng‑Ming Liu,Guo‑Rui Liu,Jun‑Tao Liu,Ze Long,Meng‑Chen Niu,Hao Qiu,Hu Ran,Xiang‑Ming Sun,Bo‑Tan Wang,Jia Wang,Jin‑Xiang Wang,Qi‑Lin Wang,Yong‑Sheng Wang,Xiao‑Chuan Xia,Hao‑Qing Xie,He‑Run Yang,Hong Yin,Hong Yuan,Chun‑Hui Zhang,Rui‑Guang Zhao,Ran Zheng,Cheng‑Xin Zhao.Advances in nuclear detection and readout techniques[J].Nuclear Science and Techniques,2023,34(12):281-358. 被引量:1

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