arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1011.4075astro-ph.CO
收藏

电离层测量简介:设计与初步结果

The Brightest Of Reionizing Galaxies Survey: Design and Preliminary Results

M. Trenti, L. D. Bradley, M. Stiavelli, P. Oesch, T. Treu, R. J. Bouwens, J. M. Shull, J. W. MacKenty, C. M. Carollo, G. D. Illingworth

摘要:

本文首次报道了在再电离星系巡天(BoRG)中寻找红移z~8的极亮(M_AB-21)星系的结果。BoRG是哈勃空间望远镜3号广角相机的纯平行巡天,它在高银河系纬度的随机视线上获得四种滤光片(F606 W,F098 M,F125 W,F160 W)的图像,并优化了积分时间,以识别z>7.5的星系为F098 M-脱落。我们在这里讨论的结果是在23个BoRG场上的大约130弧分^2的搜索区域中得到的,并由另外6个具有类似滤波器的纯并行WFC 3场补充。这个新的搜索区域比之前在z~8处的WFC 3观测宽两倍多。我们确定了四个具有高统计置信度的F098 M-脱落候选者(在F125 W中检测到大于8 sigma置信度)。这些源是目前已知的z = 8的最亮候选者之一,比z=8.56的星系UDFy-38135539亮约10倍。因此,它们代表了光谱后续观测的理想目标,并可能导致红移记录,因为我们的颜色选择包括z~9的对象。然而,我们的样本的预期污染率比传统领域中对辍学星系的典型搜索高出约30%,例如GOODS和HUDF,其中更深入的数据和额外的光学过滤器可用于拒绝污染物。

英文摘要:

We present the first results on the search for very bright (M_AB -21) galaxies at redshift z~8 from the Brightest of Reionizing Galaxies (BoRG) survey. BoRG is a Hubble Space Telescope Wide Field Camera 3 pure-parallel survey that is obtaining images on random lines of sight at high Galactic latitudes in four filters (F606W, F098M, F125W, F160W), with integration times optimized to identify galaxies at z>7.5 as F098M-dropouts. We discuss here results from a search area of approximately 130 arcmin^2 over 23 BoRG fields, complemented by six other pure-parallel WFC3 fields with similar filters. This new search area is more than two times wider than previous WFC3 observations at z~8. We identify four F098M-dropout candidates with high statistical confidence (detected at greater than 8sigma confidence in F125W). These sources are among the brightest candidates currently known at z~8 and approximately ten times brighter than the z=8.56 galaxy UDFy-38135539. They thus represent ideal targets for spectroscopic followup observations and could potentially lead to a redshift record, as our color selection includes objects up to z~9. However, the expected contamination rate of our sample is about 30% higher than typical searches for dropout galaxies in legacy fields, such as the GOODS and HUDF, where deeper data and additional optical filters are available to reject contaminants.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑