4.7 Article

The nascent red sequence at z∼2

期刊

ASTROPHYSICAL JOURNAL
卷 680, 期 1, 页码 224-231

出版社

IOP PUBLISHING LTD
DOI: 10.1086/587449

关键词

galaxies : clusters : individual (MRC 1138-262); galaxies : evolution; galaxies : formation; galaxies : high-redshift; galaxies : stellar content

资金

  1. STFC [ST/F001967/1, PP/E00105X/1] Funding Source: UKRI
  2. Science and Technology Facilities Council [ST/F001967/1, PP/E00105X/1] Funding Source: researchfish

向作者/读者索取更多资源

We present new constraints on the evolution of the early-type galaxy color-magnitude relation (CMR) based on deep near-infrared imaging of a galaxy protocluster at z = 2.16 obtained using NICMOS on board the Hubble Space Telescope. This field contains a spectroscopically confirmed space overdensity of Ly alpha- and H alpha-emitting galaxies that surrounds the powerful radio galaxy MRC 1138-262. Using these NICMOS data we identify a significant surface overdensity (=6.2 times) of red J(110) - H(160) galaxies in the color-magnitude diagram (when compared with deep NICMOS imaging from the HDF-N and UDF). The optical-NIR colors of these prospective red-sequence galaxies indicate the presence of ongoing dust-obscured star formation or recently formed (less than or similar to 1.5 Gyr) stellar populations in a majority of the red galaxies. We measure the slope and intrinsic scatter of the CMR for three different red galaxy samples selected by a wide color cut and using photometric redshifts both with and without restrictions on rest-frame optical morphology. In all three cases both the rest-frame U - B slope and intrinsic color scatter are considerably higher than corresponding values for lower redshift galaxy clusters. These results suggest that while some relatively quiescent galaxies do exist in this protocluster both the majority of the galaxy population and hence the color-magnitude relation are still in the process of forming, as expected.

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