Volume 35 Issue 2
Mar.  2015
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Article Navigation >  Chinese Journal of Space Science  > 2015  >  35(2): 203-210
Lan Ting, Chen Dong, Chen Shanqiang, Shi Liqin, Liu Siqing. Implementation of adjoint/reverse monte carlo method in the analysis of satellites radiation[J]. Chinese Journal of Space Science, 2015, 35(2): 203-210. doi: 10.11728/cjss2015.02.203
Citation: Lan Ting, Chen Dong, Chen Shanqiang, Shi Liqin, Liu Siqing. Implementation of adjoint/reverse monte carlo method in the analysis of satellites radiation[J]. Chinese Journal of Space Science, 2015, 35(2): 203-210. doi: 10.11728/cjss2015.02.203
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Implementation of adjoint/reverse monte carlo method in the analysis of satellites radiation

doi: 10.11728/cjss2015.02.203
  • 1.

    Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100190

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2014-03-26
  • Rev Recd Date: 2014-08-19
  • Publish Date: 2015-03-15
    Abstract
  • The Reverse Monte Carlo (RMC) method is a powerful biasing technique available in Geant4, 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.

     

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