Volume 554, June 2013
|Number of page(s)||6|
|Section||Numerical methods and codes|
|Published online||29 May 2013|
Using hierarchical octrees in Monte Carlo radiative transfer simulations
Sterrenkundig Observatorium, Universiteit Gent,
2 Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA
3 National Astronomical Observatories, Chinese Academy of Sciences, 100012 Beijing, PR China
4 Astronomical Observatory, Volgina 7, 11060 Belgrade, Serbia
5 Isaac Newton Institute of Chile, Yugoslavia Branch, Volgina 7, 11060 Belgrade, Serbia
Received: 5 December 2012
Accepted: 3 April 2013
A crucial aspect of 3D Monte Carlo radiative transfer is the choice of the spatial grid used to partition the dusty medium. We critically investigate the use of octree grids in Monte Carlo dust radiative transfer, with two different octree construction algorithms (regular and barycentric subdivision) and three different octree traversal algorithms (top-down, neighbour list, and the bookkeeping method). In general, regular octree grids need higher levels of subdivision compared to the barycentric grids for a fixed maximum cell mass threshold criterion. The total number of grid cells, however, depends on the geometry of the model. Surprisingly, regular octree grid simulations turn out to be 10 to 20% more efficient in run time than the barycentric grid simulations, even for those cases where the latter contain fewer grid cells than the former. Furthermore, we find that storing neighbour lists for each cell in an octree, ordered according to decreasing overlap area, is worth the additional memory and implementation overhead: using neighbour lists can cut down the grid traversal by 20% compared to the traditional top-down method. In conclusion, the combination of a regular node subdivision and the neighbour list method results in the most efficient octree structure for Monte Carlo radiative transfer simulations.
Key words: radiative transfer / methods: numerical
© ESO, 2013
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