期刊
NEW ASTRONOMY
卷 13, 期 1, 页码 1-11出版社
ELSEVIER
DOI: 10.1016/j.newast.2007.06.002
关键词
cosmology : theory; radiation; hydrodynamics; methods : numerical; shock waves
We investigate the volume growth of ionized regions around UV photon sources with the WENO algorithm, which is an effective solver of photon kinetics in the phase space described by the radiative transfer equation. We show that the volume growth rate, either of isolated ionized regions or of clustered regions in merging, generally consists of three phases: fast or relativistic growth phase at the early stage, slow growth phase at the later stage, and a transition phase between the fast and slow phases. The growth rate can be characterized by a time scale t(c) of the transition phase, which is approximately proportional to (E) over dot(1/2), (E) over dot being the intensity of the ionizing source. The larger the time scale t(c), the longer the photons to postpone their contribution to the ionization. For strong sources, like (E) over dot >= 1045 erg s(-1), t(c) can be as large as a few Myrs, which could even be larger than the lifetime of the sources. Consequently, most photons from these sources contribute to the reionization only when these sources already ceased. We also show that the volume growth of ionized regions around clustered sources with intensity (E) over dot(i) (i = 1, 2,...) would have the same behavior as a single source with intensity (E) over dot = Sigma(i)(E) over dot(i), if all the distances between nearest neighbor sources i and j are smaller than c(t(c)(i) + t(c)(j)), t(c)(i) being the time scale t(c) of source i. Therefore, a tightly clustered UV photon sources would lead to a slow growth of ionized volume. This effect would be important for studying the redshift-dependence of 21 cm signals from the reionization epoch. We also developed, in this paper, the method-of using WENO scheme to solve radiative transfer equation beyond one physical dimension. This method can be used for high dimensional problems in general as well. (C) 2007 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据