Monte Carlo radiative transfer

Ulrich M. Noebauer, Stuart A. Sim

Research output: Contribution to journalArticlepeer-review

209 Downloads (Pure)

Abstract

The theory and numerical modelling of radiation processes and radiative transfer play a key role in astrophysics: they provide the link between the physical properties of an object and the radiation it emits. In the modern era of increasingly high-quality observational data and sophisticated physical theories, development and exploitation of a variety of approaches to the modelling of radiative transfer is needed. In this article, we focus on one remarkably versatile approach: Monte Carlo radiative transfer (MCRT). We describe the principles behind this approach, and highlight the relative ease with which they can (and have) been implemented for application to a range of astrophysical problems. All MCRT methods have in common a need to consider the adverse consequences of Monte Carlo noise in simulation results. We overview a range of methods used to suppress this noise and comment on their relative merits for a variety of applications. We conclude with a brief review of specific applications for which MCRT methods are currently popular and comment on the prospects for future developments.
Original languageEnglish
Article number1
Number of pages103
JournalLiving Reviews in Computational Astrophysics
Volume5
Early online date11 Jun 2019
DOIs
Publication statusPublished - Dec 2019

Fingerprint

Dive into the research topics of 'Monte Carlo radiative transfer'. Together they form a unique fingerprint.

Cite this