Yield measurement and Monte Carlo correction of CPDG neutron generator

被引:3
|
作者
Zhang, Yingzeng [1 ]
Zeng, Jun [1 ]
Guo, Xiaofeng [1 ,2 ]
Zheng, Pu [1 ]
Li, Gang [3 ]
Xiang, Yongchun [1 ]
Hao, Fanhua [1 ]
Xiang, Qingpei [1 ]
机构
[1] China Acad Engn Phys, Inst Nucl Phys & Chem, Mianyang 621900, Peoples R China
[2] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China
[3] Northeast Normal Univ, Sch Phys, Changchun 130024, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
Neutron generator; Neutron yield; Monte Carlo simulation; Neutron distribution; ACTIVATION-ANALYSIS;
D O I
10.1016/j.nimb.2018.05.021
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
It is useful to obtain the exact neutron yield and distribution of a portable neutron generator. In this paper, the neutron yield of a K400 accelerator D-D neutron source under conditions of 160 kV and 25 uA is 1.69 x 10(6) +/- 4.1 x 10(4) n/s, which is calibrated using the associated proton method. A long counter consisting of a 3 He counter surrounded by a paraffin cylinder was used as secondary standard after efficiency calibration using a K400 accelerator. The Monte Carlo method is then used to evaluate the distribution change of emitted neutrons from each surface of the CPDG caused by its structural materials. Energy spectrum distortion and angle distribution distortion of emitted neutrons are studied. Simulation results show that the proportion of the forward neutron is reduced and the proportion of the lateral neutron is increased. The number of neutron transporting into the counter has been reduced by 28.1%, 28.4%, 29.8%, 29.0%, 28.7%, and 28.0% for acceleration voltages of 90 kV, 100 kV, 110 kV, 120 kV, 130 kV, and 160 kV, respectively. In addition, the respective yield correction factors caused by structural materials are 1.36, 1.38, 1.38, 1.34, 1.37, and 1.39. The neutron yield of the CPDG is 1.28 x 10(6) and 1.75 x 10(6) before and after Monte Carlo correction when working at conditions of 130 kV and 600 mu A. The total uncertainty of this result is approximately 6%.
引用
收藏
页码:42 / 47
页数:6
相关论文
共 50 条
  • [21] A Monte Carlo Simulation of Neutron Instrument Resolution Functions
    Vickery, Anette
    Udby, Linda
    Violini, Nicolo
    Voigt, Joerg
    Deen, Pascale P.
    Lefmann, Kim
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 2013, 82
  • [22] Monte Carlo simulation of explosive detection system based on a Deuterium-Deuterium (D-D) neutron generator
    Bergaoui, K.
    Reguigui, N.
    Gary, C. K.
    Brown, C.
    Cremer, J. T.
    Vainionpaa, J. H.
    Piestrup, M. A.
    APPLIED RADIATION AND ISOTOPES, 2014, 94 : 118 - 124
  • [23] Optimisation of a thermal neutron guide by Monte Carlo simulations
    Artus, GRJ
    Frey, F
    Scherer, W
    PHYSICA B, 2000, 283 (04): : 436 - 438
  • [24] Monte Carlo simulation of gamma-ray response functions for a proportional counter used for neutron measurement
    Takeda, N
    Kudo, K
    Sugita, T
    Dietze, G
    Yang, X
    APPLIED RADIATION AND ISOTOPES, 2000, 53 (4-5) : 893 - 896
  • [25] Monte Carlo simulations of the neutron wall detector system
    Ljungvall, J
    Palacz, M
    Nyberg, J
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2004, 528 (03) : 741 - 762
  • [26] Use of Monte Carlo simulation and the Shadow-Cone Method to evaluate the neutron scattering correction at a calibration laboratory
    Alvarenga, Tallyson S.
    Polo, Ivon O.
    Pereira, Walsan W.
    Caldas, Linda V. E.
    RADIATION PHYSICS AND CHEMISTRY, 2020, 170
  • [27] Optimal Placement of Distributed Generator using Monte Carlo Simulation
    Rao, B. Neelakanteshwar
    Abhyankar, A. R.
    Senroy, Nilanjan
    2014 EIGHTEENTH NATIONAL POWER SYSTEMS CONFERENCE (NPSC), 2014,
  • [28] Monte Carlo simulation result for the pulsed neutron-neutron logging method
    Zhang Feng
    Xu Jian-Ping
    Hu Ling-Mei
    Xiu Chun-Hong
    Sun Jian-Meng
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2007, 50 (06): : 1924 - 1930
  • [29] Determination of measurement uncertainty by Monte Carlo simulation
    Heisselmann, Daniel
    Franke, Matthias
    Rost, Kerstin
    Wendt, Klaus
    Kistner, Thomas
    Schwehn, Carsten
    ADVANCED MATHEMATICAL AND COMPUTATIONAL TOOLS IN METROLOGY AND TESTING XI, 2019, 89 : 192 - 202
  • [30] Beam hardening correction based on Monte Carlo simulation
    Zeng, G
    Yu, ZQ
    Yan, YL
    HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION, 2006, 30 (02): : 178 - 182