反向蒙特卡罗方法在卫星辐射分析中的研究与应用

Subjects: Geosciences >> Space Physics submitted time 2016-05-13

兰婷 陈东 陈善强 师立勤 刘四清

Abstract： The Reverse Monte Carlo (RMC) method is a powerful biasing technique available in Geant 4, also known as the Adjoint Monte Carlo method. In this method, particles are generated on the external boundary of the sensitive part of the geometry and then tracked backward in the geometry till they reach the external source surface, or exceed an energy threshold. By this way the computing time is focused only on particle tracks that are contributing to the tallies. The RMC method is much rapider than the Forward Monte Carlo (FMC) method when the sensitive part of the geometry is smaller compared to the rest of the geometry as well as the external source. Compared with the FMC method, accuracy of the RMC method applied to the radiation dose of the satellite is verified. Comparisons of RMC with the SHIELDOSE2, SSAT show that RMC is the preferred method of high-precision satellite radiation dose.

Peer Review Status:Awaiting Review

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