4.7 Article

SIMULATIONS OF EARLY BARYONIC STRUCTURE FORMATION WITH STREAM VELOCITY. II. THE GAS FRACTION

期刊

ASTROPHYSICAL JOURNAL
卷 763, 期 1, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/763/1/27

关键词

cosmology: theory; early universe; galaxies: formation; galaxies: halos

资金

  1. Information Technology at Northwestern University
  2. NASA
  3. Chandra X-ray Center
  4. Smithsonian Astrophysical Observatory for NASA [PF2-130096]
  5. Direct For Mathematical & Physical Scien
  6. Division Of Astronomical Sciences [0908063] Funding Source: National Science Foundation
  7. Grants-in-Aid for Scientific Research [20674003] Funding Source: KAKEN

向作者/读者索取更多资源

Understanding the gas content of high-redshift halos is crucial for studying the formation of the first generation of galaxies and reionization. Recently, Tseliakhovich & Hirata showed that the relative stream velocity between the dark matter and baryons at the time of recombination-formally a second-order effect, but an unusually large one-can influence the later structure formation history of the universe. We quantify the effect of the stream velocity on the so-called characteristic mass-the minimum mass of a dark matter halo capable of retaining most of its baryons throughout its formation epoch-using three different high-resolution sets of cosmological simulations (with separate transfer functions for baryons and dark matter) that vary in box size, particle number, and the value of the relative velocity between the dark matter and baryons. In order to understand this effect theoretically, we generalize the linear theory filtering mass to properly account for the difference between the dark matter and baryonic density fluctuation evolution induced by the stream velocity. We show that the new filtering mass provides an accurate estimate for the characteristic mass, while other theoretical ansatzes for the characteristic mass are substantially less precise.

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。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据