Cross-calibration of high energetic particle data is a primary requirement for the availability of multi-instrument,multi-spacecraft data.It also can provide a method to verify relative reliability of data from single satellite measurement.This paper presents a case study of energetic particles data cross-calibration between FY-3B and NOAA-17.A generally good agreement is acquired in the flux values and distribution trend of 2.5–6.9 MeV protons and 0.3–1.1 MeV electrons between FY-3B and NOAA-17 satellites.It suggests that the data observed by FY-3B is properly cross-calibrated.We can also confirm that energetic particles data observed by FY-3B satellite is available.
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.
