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Monitoring results of FY-3E satellite high-energy particle detector[J]. Chinese Journal of Space Science. doi: 10.11728/cjss2024-0121
Citation: Monitoring results of FY-3E satellite high-energy particle detector[J]. Chinese Journal of Space Science. doi: 10.11728/cjss2024-0121

Monitoring results of FY-3E satellite high-energy particle detector

doi: 10.11728/cjss2024-0121 cstr: 32142.14.cjss2024-0121
  • Received Date: 2024-09-29
  • Accepted Date: 2024-12-13
  • Rev Recd Date: 2024-11-22
  • Available Online: 2025-01-10
  • High energy charged particles are one of the important factors affecting the safety of spacecraft and are an important part of space environment warning and forecasting. The measured data not only contributes to the prediction of space weather, but also helps to further understand the dynamic process of charged particles in radiation belts during disturbances. The FY-3E high-energy particle detector is used to monitor the radiation environment of high-energy electrons and protons, and can obtain high-energy electron and proton data in three directions of the satellite body (- Z upward direction, - X flight reverse direction, and+Y vertical orbital plane direction) ranging from 0.15 MeV to 5.7 MeV and from 3 MeV to 300 MeV respectively. The monitoring results reflect the differences and long-term variations in the flux intensity, distribution position, and distribution direction of high-energy protons and electrons, revealing the impact of disturbances, especially the extremely strong geomagnetic storm event in May 2024, on the environment of charged particles. The data results help to understand the long-term trends of high-energy particles in the satellite orbit, assist in studying the dynamic characteristics of the radiation belt, and the physical processes that may cause changes in the radiation belt. They can provide key environmental data support for orbit environment assessment, spacecraft radiation protection design, and on-board equipment safety, and provide a basis for conducting extreme event research.

     

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