Statistics – Applications
Scientific paper
Aug 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007jena.confq..91b&link_type=abstract
"JENAM-2007, "Our non-stable Universe", held 20-25 August 2007 in Yerevan, Armenia. Abstract book, p. 91-91"
Statistics
Applications
Scientific paper
Radiative transfer, describing the interaction between radiation and matter, is relevant to almost all astrophysical situations. Unfortunately, radiative transfer calculations are hard to solve and therefore numerically intensive. Since several years, the Monte Carlo method has become more and more popular. I will present SKIRT, a fully 3D Monte Carlo code developed to study dust radiative transfer in a variety of astrophysical environments. I shall discuss the basic ingredients of Monte Carlo radiative transfer and highlight the main advantages and disadvantages. Using the SKIRT code, I shall demonstrate how these disadvantages can largely be avoided nowadays by applying optimization techniques, such that Monte Carlo radiative transfer codes can be accurate, flexible, efficient and fast. I'll discuss some recent applications on circumstellar discs and dusty galaxies.
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