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The geometric factor of high energy protons detector on FY-3 satellite
Authors:ShenYi Zhang  XianGuo Zhang  ChuiQin Wang  GuoHong Shen  Tao Jin  BinQuan Zhang  YueQiang Sun  GuangWu Zhu  JinBao Liang  XiaoXin Zhang  JiaWei Li  Cong Huang  Ying Han
Institution:1. Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing, 100190, China
2. National Center for Space Weather, Beijing, 100081, China
3. Beijing Institute of Petrochemical Technology, Beijing, 102617, China
Abstract:Geometric factor is the key parameter for inversion of particle spectrum in space particle detection. Traditional geometric factor is obtained through the method of numerical calculation with the actual structure of the detector as the input condition. The degree of accuracy for data inversion is reduced since traditional geometric factor fails to take into account the physical process of interaction between the particle and substance as well as the influence of factors such as the particle interference between different energy channels on the measurement result. Here we propose an improved geometrical factor calculation method, the concept of which is to conduct actual structural modelling of the detector in the GEANT4 program, consider the process of interaction between the particle and substance, obtain the response function of the detector to particles of different energy channels through the method of Monte Carlo simulation, calculate the influence of contaminated particle on the geometrical factor, and finally get the geometrical factors for different energy channels of the detector. The imrpoved geometrical factor obtained through the method has carried out inversion for the data of high energy protons detector on China’s FY-3 satellite, the energy spectrum after which is more in line with the power law distribution recognized by space physics. The comparison with the measured result of POES satellite indicates that the FY-3 satellite data are in good accordance with the satellite data, which shows the method may effectively improve the quality of data inversion.
Keywords:geometrical factor  response function  particle radiation  space detection  FY-
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