论文标题

III期宇宙剪切调查的统一目录级重新分析

A Unified Catalog-level Reanalysis of Stage-III Cosmic Shear Surveys

论文作者

Longley, Emily P., Chang, Chihway, Walter, Christopher W., Zuntz, Joe, Ishak, Mustapha, Mandelbaum, Rachel, Miyatake, Hironao, Nicola, Andrina, Pedersen, Eske M., Pereira, Maria E. S., Prat, Judit, Sánchez, J., Tröster, Tilman, Troxel, Michael, Wright, Angus, Collaboration, The LSST Dark Energy Science

论文摘要

最近的Galaxy成像调查的宇宙参数约束达到$ 2-3 \%$ - 级别的准确性。 Vera C. Rubin天文台的时空(LSST)的即将进行的遗产调查将产生宇宙学参数的次级测量值,从而提供了$λ$ CDM模型的里程碑测试。为了为即将进行的LSST分析提供指导,重要的是要透彻了解不同的Galaxy成像调查的结果并评估其一致性。在这项工作中,我们对三个宇宙剪切数据集进行了统一的目录级重新分析:Dark Energy Survey(DES-Y1)的第一年数据,1,000度$^{2} $数据集中的Kilo-Vegree Survey(Kids-1000)的数据集,以及来自Hyper Suprime-Suprime-CAM Subaru Subaru subaru Strativic strategic clatequic(HSC-Y1)的第一年数据。我们利用了通过LSST Dark Energy Science合作开发和严格测试的管道来执行重新分析并评估结果对分析选择的鲁棒性。我们发现$ s_ {8} $约束对两种不同的小型建模方法和宇宙学先验的各种选择都具有鲁棒性。我们的统一分析允许对调查的一致性进行严格测试,我们发现这三个调查在统计上是一致的。由于部分重叠的占地面积,我们在组合所有三个数据集时,我们对Kids-1000和HSC-Y1之间的交叉共识进行建模,从而在$ s_8 $上对$ S_8 $的$ 1.6-1.9 \%$约束在跨跨企业的不同假设上产生了不同的假设。

Cosmological parameter constraints from recent galaxy imaging surveys are reaching $2-3\%$-level accuracy. The upcoming Legacy Survey of Space and Time (LSST) of the Vera C. Rubin Observatory will produce sub-percent level measurements of cosmological parameters, providing a milestone test of the $Λ$CDM model. To supply guidance to the upcoming LSST analysis, it is important to understand thoroughly the results from different recent galaxy imaging surveys and assess their consistencies. In this work we perform a unified catalog-level reanalysis of three cosmic shear datasets: the first year data from the Dark Energy Survey (DES-Y1), the 1,000 deg$^{2}$ dataset from the Kilo-Degree Survey (KiDS-1000), and the first year data from the Hyper Suprime-Cam Subaru Strategic Program (HSC-Y1). We utilize a pipeline developed and rigorously tested by the LSST Dark Energy Science Collaboration to perform the reanalysis and assess the robustness of the results to analysis choices. We find the $S_{8}$ constraint to be robust to two different small-scale modeling approaches, and varying choices of cosmological priors. Our unified analysis allows the consistency of the surveys to be rigorously tested and we find the three surveys to be statistically consistent. Due to the partially overlapping footprint, we model the cross-covariance between KiDS-1000 and HSC-Y1 approximately when combining all three datasets, resulting in a $1.6-1.9\%$ constraint on $S_8$ given different assumptions on the cross-covariance.

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