Three-Dimensional Dust Radiative Transfer

被引:149
作者
Steinacker, Juergen [1 ,2 ]
Baes, Maarten [3 ]
Gordon, Karl D. [3 ,4 ]
机构
[1] UJF Grenoble 1, CNRS INSU, UMR 5274, IPAG, F-38041 Grenoble, France
[2] Max Planck Inst Astron, D-69117 Heidelberg, Germany
[3] Univ Ghent, Sterrenkundig Observ, B-9000 Ghent, Belgium
[4] Space Telescope Sci Inst, Baltimore, MD 21218 USA
来源
ANNUAL REVIEW OF ASTRONOMY AND ASTROPHYSICS, VOL 51 | 2013年 / 51卷
关键词
scattering; Monte Carlo; ray tracing; computational astrophysics; numerical algorithms; SPECTRAL ENERGY-DISTRIBUTIONS; EXTENDED RED EMISSION; ACTIVE GALACTIC NUCLEI; STAR-FORMATION RATE; MULTIPLE-SCATTERING; INTERSTELLAR DUST; TEMPERATURE-FLUCTUATIONS; REFLECTION NEBULAE; SURFACE BRIGHTNESS; COMPARISON PROJECT;
D O I
10.1146/annurev-astro-082812-141042
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Cosmic dust is present in many astrophysical objects, and recent observations across the electromagnetic spectrum show that the dust distribution is often strongly three-dimensional (3D). Dust grains are effective in absorbing and scattering ultraviolet (UV)/optical radiation, and they re-emit the absorbed energy at infrared wavelengths. Understanding the intrinsic properties of these objects, including the dust itself, therefore requires 3D dust radiative transfer (RT) calculations. Unfortunately, the 3D dust RT problem is nonlocal and nonlinear, which makes it one of the hardest challenges in computational astrophysics. Nevertheless, significant progress has been made in the past decade, with an increasing number of codes capable of dealing with the complete 3D dust RT problem. We discuss the complexity of this problem, the two most successful solution techniques [ray-tracing (RayT) and Monte Carlo (MC)], and the state of the art in modeling observational data using 3D dust RT codes. We end with an outlook on the bright future of this field.
引用
收藏
页码:63 / 104
页数:42
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