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DESI 2024 II: Sample Definitions, Characteristics, and Two-point Clustering Statistics

arXiv · Cosmology and Nongalactic Astrophysics(2024)

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Abstract
We present the samples of galaxies and quasars used for DESI 2024 cosmological analyses, drawn from the DESI Data Release 1 (DR1). We describe the construction of large-scale structure (LSS) catalogs from these samples, which include matched sets of synthetic reference `randoms' and weights that account for variations in the observed density of the samples due to experimental design and varying instrument performance. We detail how we correct for variations in observational completeness, the input `target' densities due to imaging systematics, and the ability to confidently measure redshifts from DESI spectra. We then summarize how remaining uncertainties in the corrections can be translated to systematic uncertainties for particular analyses. We describe the weights added to maximize the signal-to-noise of DESI DR1 2-point clustering measurements. We detail measurement pipelines applied to the LSS catalogs that obtain 2-point clustering measurements in configuration and Fourier space. The resulting 2-point measurements depend on window functions and normalization constraints particular to each sample, and we present the corrections required to match models to the data. We compare the configuration- and Fourier-space 2-point clustering of the data samples to that recovered from simulations of DESI DR1 and find they are, generally, in statistical agreement to within 2% in the inferred real-space over-density field. The LSS catalogs, 2-point measurements, and their covariance matrices will be released publicly with DESI DR1.
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要点】:本文介绍了用于DESI 2024宇宙学分析的样本定义、特性以及两点聚类统计,并详细阐述了相关校正和测量方法,以及与模拟数据的比较结果。

方法】:作者描述了从DESI数据发布1(DR1)中选取的星系和类星体样本构建大规模结构(LSS)目录的方法,并引入了合成参考随机样本和权重以处理观测密度变化。

实验】:使用DESI DR1数据集,通过测量管道对LSS目录进行两点聚类测量,并在配置空间和傅里叶空间进行比较,结果显示数据样本与DESI DR1模拟的数据在推断的实空间过量密度场上通常在2%内统计一致。