4.7 Article

The formation of high-redshift submillimetre galaxies

期刊

出版社

WILEY-BLACKWELL PUBLISHING, INC
DOI: 10.1111/j.1365-2966.2009.15790.x

关键词

galaxies: formation; galaxies: high-redshift; galaxies: interactions; galaxies: ISM; galaxies: starburst; cosmology: theory

资金

  1. W.M. Keck Foundation
  2. National Science Foundation
  3. NASA [HF-51266.01, NAS 5-26555, HST-AR-10678, 10958]
  4. Space Telescope Science Institute
  5. Jet Propulsion Laboratory [30183]

向作者/读者索取更多资源

We describe a model for the formation of z similar to 2 submillimetre galaxies (SMGs) which simultaneously accounts for both average and bright SMGs while providing a reasonable match to their mean observed spectral energy distributions (SEDs). By coupling hydrodynamic simulations of galaxy mergers with the high-resolution 3D polychromatic radiative transfer code SUNRISE, we find that a mass sequence of merger models which use observational constraints as physical input naturally yield objects which exhibit black hole, bulge and H(2) gas masses similar to those observed in SMGs. The dominant drivers behind the 850 mu m flux are the masses of the merging galaxies and the stellar birth cloud covering fraction. The most luminous (S(850) greater than or similar to 15 mJy) sources are recovered by similar to 10(13) M(circle dot) 1:1 major mergers with a birth cloud covering fraction close to unity, whereas more average SMGs (S(850) similar to 5-7 mJy) may be formed in lower mass haloes (similar to 5 x 10(12) M(circle dot)). These models demonstrate the need for high spatial resolution hydrodynamic and radiative transfer simulations in matching both the most luminous sources as well as the full SEDs of SMGs. While these models suggest a natural formation mechanism for SMGs, they do not attempt to match cosmological statistics of galaxy populations; future efforts along this line will help ascertain the robustness of these models.

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