Exploiting non-linear scales in galaxy–galaxy lensing and galaxy clustering: A forecast for the dark energy survey
Exploiting non-linear scales in galaxy–galaxy lensing and galaxy clustering: A forecast for the dark energy survey
复制标题
利用星系中的非线性尺度——星系透镜和星系团簇：暗能量巡天的预测
DOI：
10.1093/mnras/stab3793
复制
发表时间：
2022
影响因子：
4.8
通讯作者：
Wibking, Benjamin D.
中科院分区：
文献类型：
--
作者：
Salcedo, Andrés N.;Weinberg, David H.;Wu, Hao-Yi;Wibking, Benjamin D.
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效应的有力工具，特别是当它扩展到非线性区域时。为此，我们使用N体和晕占据分布（HOD）模拟器方法对暗能量巡天（DES）中颜色选择被动星系的redMaGiC样本进行建模，添加描述中央星系不完整性、星系聚集偏差和尺度独立的乘法透镜偏差Alen的参数。我们使用这个模拟器来预测从GGL面密度分布Δ p（rp）和投影星系相关函数wp，gg（rp）中得到的宇宙学约束。在此基础上，我们预测了在所有晕占据分布（HOD）参数和Alens上，Ω m、σ 8和σ 8的精度。相对于大比例（）分析，增加比例可将S8精度提高1.6倍，相当于将测量区域增加2.6倍。将Alensprior锐化为可进一步将S8精度提高到，并可放大包含非线性刻度的增益。我们的仿真器达到百分之一级的准确性类似于预计DES统计不确定性，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。
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 use anN-body and halo occupation distribution (HOD) emulator method 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 biasAlens. We use this emulator to forecast cosmological constraints attainable from the GGL surface density profile ΔΣ(rp) and the projected galaxy correlation functionwp, gg(rp) in the final (Year 6) DES data set over scales. For aprior onAlenswe forecast precisions of,, andon Ωm, σ8, and, marginalized over all halo occupation distribution (HOD) parameters as well asAlens. Adding scalesimproves theS8precision by a factor of ∼1.6 relative to a large scale () analysis, equivalent to increasing the survey area by a factor of ∼2.6. Sharpening theAlensprior tofurther improves theS8precision to, and it amplifies the gain from including non-linear scales. Our emulator achieves per cent-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.