OUP accepted manuscript
OUP accepted manuscript
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DOI：
10.1093/mnras/stab2995
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发表时间：
2021
影响因子：
4.8
通讯作者：
中科院分区：
文献类型：
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作者：
在本文中，我们提出并验证了用于分析暗能量巡天 (DES) Y3 数据中的重子声振荡 (BAO) 信号的星系样本。该定义基于颜色和红移相关星等削减，经过优化以选择红移高于 0.5 的星系，同时确保高质量的确定。样本在 10σ 处覆盖 deg2 至 i= 22.3 (AB) 的深度。它包含 7031~993 个红移范围从 0.6 到 1.1 的星系，平均有效红移为 0.835。红移使用机器学习算法dnf 进行估计，并使用 VIPERS PDR2 样本进行验证。我们发现平均红移偏差为 和平均不确定性，单位为 1 +, of。我们评估了样本的星系群，表明它主要是建立在椭圆到 Sbc 类型的基础上的。此外，我们发现恒星污染水平较低。我们提出了用于减轻来自观测条件和其他大规模系统的虚假聚类影响的方法。我们将其应用于 BAO 样本并计算权重，用于获得星系聚类信号的稳健估计。本文是致力于分析 DES Y3 中 BAO 信号的系列文章之一。在配套论文中，我们介绍了用于校准分析的星系模拟目录以及通过拟合 BAO 尺度获得的角直径距离约束。
In this paper, we present and validate the galaxy sample used for the analysis of the baryon acoustic oscillation (BAO) signal in the Dark Energy Survey (DES) Y3 data. The definition is based on a colour and redshift-dependent magnitude cut optimized to select galaxies at redshifts higher than 0.5, while ensuring a high-quality determination. The sample coversdeg2to a depth ofi= 22.3 (AB) at 10σ. It contains 7031 993 galaxies in the redshift range from= 0.6 to 1.1, with a mean effective redshift of 0.835. Redshifts are estimated with the machine learning algorithmdnf, and are validated using the VIPERS PDR2 sample. We find a mean redshift bias ofand a mean uncertainty, in units of 1 +, of. We evaluate the galaxy population of the sample, showing it is mostly built upon Elliptical to Sbc types. Furthermore, we find a low level of stellar contamination of. We present the method used to mitigate the effect of spurious clustering coming from observing conditions and other large-scale systematics. We apply it to the BAO sample and calculate weights that are used to get a robust estimate of the galaxy clustering signal. This paper is one of a series dedicated to the analysis of the BAO signal in DES Y3. In the companion papers, we present the galaxy mock catalogues used to calibrate the analysis and the angular diameter distance constraints obtained through the fitting to the BAO scale.