从高红移星系巡天估算光度函数约束
Estimating Luminosity Function Constraints from High-Redshift Galaxy Surveys
摘要：
在哈勃太空望远镜（HST）上安装宽视场相机3（WFC 3）将彻底改变高红移星系群的研究。HST超深场（UDF）的初始观测已经产生了多个z>~7的丢失候选。在大天文台起源深度巡天（GOODS）早期释放科学（ERS）和进一步的UDF指向的补充下，这些数据将提供有关最遥远的已知星系的关键信息。然而，实现z~7星系光度函数（LF）的严格约束将需要更雄心勃勃的光度测量。使用Fisher矩阵方法充分考虑泊松和宇宙样本方差，以及数据中的协方差，我们估计LF参数的不确定性，通过调查一个给定的区域和深度。应用该方法对WFC 3 z~7 dropout星系样本进行了LF参数不确定度的预测。我们证明，当与现有的UDF GO和GOODS ERS数据结合时，执行大面积（~1 deg^2）调查到H_AB~27深度或将UDF深度增加到H_AB~30，可以对高z LF提供很好的约束。我们还发现，物质功率谱的形状可能会限制将大面积（>~0.5 deg^2）高红移巡天划分为多个场以探测统计独立区域的可能增益;在较小体积中增加的均方根密度波动主要抵消了从独立样本中获得的改进方差。
英文摘要：
The installation of the Wide Field Camera 3 (WFC3) on the Hubble Space Telescope (HST) will revolutionize the study of high-redshift galaxy populations. Initial observations of the HST Ultra Deep Field (UDF) have yielded multiple z>~7 dropout candidates. Supplemented by the Great Observatory Origins Deep Survey (GOODS) Early Release Science (ERS) and further UDF pointings, these data will provide crucial information about the most distant known galaxies. However, achieving tight constraints on the z~7 galaxy luminosity function (LF) will require even more ambitious photometric surveys. Using a Fisher matrix approach to fully account for Poisson and cosmic sample variance, as well as covariances in the data, we estimate the uncertainties on LF parameters achieved by surveys of a given area and depth. Applying this method to WFC3 z~7 dropout galaxy samples, we forecast the LF parameter uncertainties for a variety of model surveys. We demonstrate that performing a wide area (~1 deg^2) survey to H_AB~27 depth or increasing the UDF depth to H_AB~30 provides excellent constraints on the high-z LF when combined with the existing UDF GO and GOODS ERS data. We also show that the shape of the matter power spectrum may limit the possible gain of splitting wide area (>~0.5 deg^2) high-redshift surveys into multiple fields to probe statistically independent regions; the increased root-mean-squared density fluctuations in smaller volumes mostly offset the improved variance gained from independent samples.
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