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对莱曼断裂星系样本在 $\boldsymbol{z\sim6-8}$ 处污染的新分析:与 $\boldsymbol{z\sim1.3-2}$ 中红移星系的空间相关性

A novel analysis of contamination in Lyman-break galaxy samples at $\boldsymbol{z\sim6-8}$: spatial correlation with intermediate-redshift galaxies at $\boldsymbol{z\sim1.3-2}$

Miftahul Hilmi, Nicha Leethochawalit, Michele Trenti, Benjamin Metha

AI总结:

本文提出通过测量高红移LBG与中红移闯入者星系的空间相关性来估计污染,在CANDELS/GOODS-S和XDF中污染低于5.5%,在BoRG中估计为62%,验证了该方法可作为独立污染检验手段。

摘要:

来自低/中红移星系(例如具有显著巴尔默断裂的天体)的潜在污染,会通过莱曼断裂的识别影响高红移星系的光度选择。传统上,污染是通过光谱后续观测和/或模拟来估计的。在此,我们引入一种新方法来估计莱曼断裂星系(LBG)样本的污染,该方法基于测量与较低红移闯入者母体群体的空间相关性。我们提出了两种适用于不同巡天策略的概念性方法:单一大型连续视场和由多条独立视线组成的巡天。对于大型单一视场,我们计算红移 $z \sim 6$ 处的星系与红移 $z \sim 1.3$ 处的中红移星系之间的互相关函数。我们将该方法应用于 CANDELS GOODS-S 和 XDF 巡天,并将测量结果与模拟的模拟观测进行比较,发现两种情况下的污染水平均不可测量,且低于 $5.5\\%$(置信度为 $90\\%$)。对于随机指向的多视场巡天,我们改为测量高红移星系与闯入者之间的数目计数相关性,因为两点相关分析通常不可行。我们展示了该方法在再电离最亮星系(BoRG)巡天中红移 $z \sim 8$ 处的 LBG 样本和红移 $z \sim 2$ 处可能的闯入者群体上的应用。通过将皮尔逊相关系数与蒙特卡洛模拟结果进行比较,我们估计污染比例为 $62^{+13}_{-39}\\%$,与文献中先前的估计一致。这些结果验证了所提出的方法,并证明了其作为光度选择的高红移星系样本中污染的独立检验手段的实用性。

英文摘要:

Potential contamination from low/intermediate-redshift galaxies, such as objects with a prominent Balmer break, affects the photometric selection of high-redshift galaxies through identification of a Lyman break. Traditionally, contamination is estimated from spectroscopic follow-up and/or simulations. Here, we introduce a novel approach to estimating contamination for Lyman-break galaxy (LBG) samples based on measuring spatial correlation with the parent population of lower redshift interlopers. We propose two conceptual approaches applicable to different survey strategies: a single large contiguous field and a survey consisting of multiple independent lines of sight. For a large single field, we compute the cross-correlation function between galaxies at redshift $z \sim 6$ and intermediate-redshift galaxies at $z \sim 1.3$. We apply the method to the CANDELS GOODS-S and XDF surveys and compare the measurement with simulated mock observations, finding that the contamination level in both cases is not measurable and lies below $5.5\%$ (at $90\%$ confidence). For random-pointing multiple field surveys, we measure instead the number count correlation between high-redshift galaxies and interlopers, as a two-point correlation analysis is not generally feasible. We show an application to the LBG samples at redshift $z \sim 8$ and the possible interloper population at $z \sim 2$ in the Brightest of Reionizing Galaxies (BoRG) survey. By comparing the Pearson correlation coefficient with the result from Monte Carlo simulations, we estimate a contamination fraction of $62^{+13}_{-39}\%$, consistent with previous estimates in the literature. These results validate the proposed approach and demonstrate its utility as an independent check of contamination in photometrically selected samples of high-redshift galaxies.

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