尘埃辐射转移模型

何金华  陈培生

(中国科学院云南天文台 昆明 650011)

(中国科学院国家天文观测中心 北京 100012)

(中国科学院光学天文联合实验室昆明基地 昆明 650011)

摘   要

尘埃辐射转移模型对解释和探索宇宙中众多的多尘埃天体的观测现象可发挥 重要的作用。目前所见到的四种球对称系统中的尘埃辐射 转移方法可被总结为:二流Eddington近似模型方法、Eddington因子迭代模型方法、 射线跟踪法和Monte-Carlo模型方法。除了第一种方法外,其余方法在原理上都没有 近似性。现在使用最多的是后两种方法。Monte-Carlo方法是其中最灵活的一种,它可被 用于对非球对称系统的辐射转移模拟。辐射转移模型研究工作在球对称系统中已相当 成熟,此领域的发展方向主要有:在应用中不断完善模型的细节,如尘埃种类、消光 特性,介质团块性等方面;发展非球对称系统中的辐射转移模拟,包括旋转对称和任 意结构系统;辐射转移模型与其它相关天体物理模型的结合应用,如与流体动力学模 型、尘埃形成模型、中心星结构和演化模型等相结合,将更加合理地解释天体形成和演 化过程。

Review on dusty radiative transfer models

He Jinhua Chen Peisheng

(Yunnan Observatory, Chinese Academy of Sciences, Kunming 650011)

(Kunming Section, Joint Laboratory of Optical Astronomy, Chinese Academy of Sciences, Kunming 650011)

(National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012)

Abstract

The radiative transter models for dusty medium play an important role on the studies of the properties of widely existed dusty objects and the relevant observational results. Up-to-day, four models of the radiative transter processes have been developed: the two--stream Eddington approximation; the Eddington factor iteration; the ray tracing method and the Monte--Carlo method. Except the first, the other three models have no approximation in their principles, with the last two being most often adopted. It is worthy of emphasizing that only the Moute--Carlo method is independent of the system profiles with the other three being strongly confined to the system configurntion. Now, the radiative transfer models for spherical systems have been studied very well with the ongoing investigation on the more and more detailed aspects, such as multiple dust species, modification of dust grain extinction, clump effect. On the other hand, non--spherical systems are also being developed including axisymmetric systems. Combination of the radiative transter models with other relevant models, such as the hydrodynamics, dust formation and stellar structure and evolution models, will lead to the better understanding of the observations.

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