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arXiv 2107.06314astro-ph.CO
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在星系-星系透镜和星系团中利用非线性尺度:对暗能量调查的预测

Exploiting Non-linear Scales in Galaxy-Galaxy Lensing and Galaxy Clustering: A Forecast for the Dark Energy Survey

Andrés N. Salcedo, David H. Weinberg, Hao-Yi Wu, Benjamin D. Wibking

摘要:

星系-星系透镜效应(GGL)和星系成团效应的结合是研究低红移物质成团的有力工具,特别是当它扩展到非线性区域时。为此,我们扩展了arxiv:1907.06293的N-体和晕占据分布(HOD)模拟器方法,以模拟暗能量调查(DES)中颜色选择的被动星系的redMaGiC样本,添加描述中央星系不完整性,星系组装偏差和尺度无关的乘法透镜偏差$A_{lens}$的参数。我们使用这个模拟器来预测宇宙学约束可从GGL表面密度轮廓$ΔΣ(r_p)$和投影星系相关函数$w_{p,gg}(r_p)$在最终(6年)DES数据集尺度$r_p=0.3-30h^{-1}$ Mpc。对于$A_{lens}$上的$3\%$先验,我们预测$1.9\%$、$2.0\%$和$1.9\%$在$Ω_m$、$σ_8$和$S_8 \equiv σ_8Ω_m^{0.5}$上的精度,在所有晕占据分布(HOD)参数以及$A_{lens}$和对$ΔΣ$的点质量贡献上被边缘化。相对于大比例尺($3.0-30.0h^{-1}$ Mpc)分析,添加比例尺$r_p=0.3-3h^{-1}$ Mpc可将$S_8$精度提高一个系数$\sim1.6$,相当于将测量区域增加一个系数${\sim}2.6$。在$1\%$之前锐化$A_{lens}$可将$S_8$精度进一步提高$1.7$(到$1.1\%$)的因子,并放大包含非线性比例的增益。我们的仿真器实现了类似于预计DES统计不确定性的100级精度,证明了完全非线性分析的可行性。从多种星系类型和跨越线性和非线性聚类的测量中获得精确的参数约束,为内部交叉检查提供了许多机会,这可以诊断系统学并证明宇宙学结果的鲁棒性。

英文摘要:

The combination of galaxy-galaxy lensing (GGL) and galaxy clustering is a powerful probe of low redshift matter clustering, especially if it is extended to the non-linear regime. To this end, we extend the N-body and halo occupation distribution (HOD) emulator method of arxiv:1907.06293 to model the redMaGiC sample of colour-selected passive galaxies in the Dark Energy Survey (DES), adding parameters that describe central galaxy incompleteness, galaxy assembly bias, and a scale-independent multiplicative lensing bias $A_{lens}$. We use this emulator to forecast cosmological constraints attainable from the GGL surface density profile $ΔΣ(r_p)$ and the projected galaxy correlation function $w_{p,gg}(r_p)$ in the final (Year 6) DES data set over scales $r_p=0.3-30h^{-1}$ Mpc. For a $3\%$ prior on $A_{lens}$ we forecast precisions of $1.9\%$, $2.0\%$, and $1.9\%$ on $Ω_m$, $σ_8$, and $S_8 \equiv σ_8Ω_m^{0.5}$, marginalized over all halo occupation distribution (HOD) parameters as well as $A_{lens}$ and a point-mass contribution to $ΔΣ$. Adding scales $r_p=0.3-3h^{-1}$ Mpc improves the $S_8$ precision by a factor of $\sim1.6$ relative to a large scale ($3.0-30.0h^{-1}$ Mpc) analysis, equivalent to increasing the survey area by a factor of ${\sim}2.6$. Sharpening the $A_{lens}$ prior to $1\%$ further improves the $S_8$ precision by a factor of $1.7$ (to $1.1\%$), and it amplifies the gain from including non-linear scales. Our emulator achieves percent-level accuracy similar to the projected DES statistical uncertainties, demonstrating the feasibility of a fully non-linear analysis. Obtaining precise parameter constraints from multiple galaxy types and from measurements that span linear and non-linear clustering offers many opportunities for internal cross-checks, which can diagnose systematics and demonstrate the robustness of cosmological results.

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