Speaker
Description
Science missions are demanding progressively more detailed simulations increasing the computational time due to the complexity of the 3D geometrical models. Generally, in space dosimetry calculations, the sensitive part of the electronic components is significantly small compared to spacecraft size. In such cases the reverse Monte Carlo (RMC) method, also known as the adjoint Monte Carlo, can be used to speed up these calculations.
This presentation will provide a status report on the Geant4 Reverse Monte Carlo (RMC) implementation in the GRAS tool. An evaluation of the method is provided for some realistic cases with a particular attention to some challenging environments like the Jovian radiation belt that will be encountered by the ESA JUICE (Jupiter Icy Moons Explorer) mission.
Simulations were performed with simple and complex geometries and a realistic spacecraft 3D model has been designed for the tests.
Potential issues have been identified and possible solutions are under development. Some comparisons with other tools and different methods, like ray tracing, will be presented as well.
