A novel approach based on improved combinatorial geometry (ICG) model for photon transport in Monte Carlo codes

Highlights: • Monte Carlo method is widely used to simulate the transport of particles. • A novel approach based on an ICG modeling for transportation of Photon was proposed. • Calculations were carried out for increasing the number of surface and collisions. • The ICG calculations considerably reduced the computational time. The present study introduced a novel approach based on the improved combinatorial geometry (ICG) topology for photon transport in codes with Monte Carlo methods such as MCNP, GEANT4, and OpenMC. It has been proposed that the ICG model can significantly optimize the particle-tracking process which results in a highly reduced computation time. The comparison with the results of conventional codes such as MCNP was used to demonstrate the improvement in computational speed. The results showed that ICG calculations considerably reduce the computational time, especially when increasing the number of defined surfaces. Additionally, the number of collisions had an important role in the result of the computation time so that the time of computations improved by an average of 17.8 times in high surface problems by increasing the number of photon collisions. Finally, the efficiency of this method in the geometry with second-degree surfaces was greater compared to first-degree surfaces.