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arXiv 1802.09696astro-ph.CO
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叠加透镜估计量及其协方差矩阵:过量表面质量密度与透镜剪切

Stacked lensing estimators and their covariance matrices: Excess surface mass density vs. Lensing shear

Masato Shirasaki, Masahiro Takada

摘要:

堆积透镜是测量大尺度结构示踪物周围平均质量分布的一种有效手段。在文献中使用了两种堆叠透镜估计量,表示为$ΔΣ$和$γ_+$,它们与$ΔΣ=Σ_{\rm cr}γ_+$相关,其中$Σ_{\rm cr}(z_l,z_s)$是每个透镜-源对的临界表面质量密度($z_l$和$z_s$分别是透镜和源的红移)。在本文中,我们推导出一个公式的协方差矩阵的$ΔΣ$估计集中在“权重”功能,以提高信噪比($S/N$)。我们假设透镜场和透镜目标的分布服从高斯统计。有了这个公式,我们表明,如果背景星系的形状加权量的$Σ_{\rm cr}^{-2}(z_l,z_s)$,$ΔΣ$ -估计最大化的$S/N$在散粒噪声限制制度。我们还表明,$ΔΣ$ -估计与权重$Σ_{\rm cr}^{-2}$给出了一个更大的$(S/N)^2$比的$γ_+$ -估计约5- 25\ %的红移相当于或高于源星系红移的中位数为假想的斯巴鲁HSC和DES调查透镜对象。然而,对于诸如$z_l<0.3$的低红移透镜,$γ_+$估计器具有比$ΔΣ$更高的$(S/N)^2$。我们还讨论了$ΔΣ$的$(S/N)^2$在大分离的样本方差有限的制度可以提高,高达1.5倍,如果一个采用的重量$Σ_{\rm cr}^{-α}$与$α>2$。我们的公式允许一个探索如何组合的不同的估计可以接近一个最佳的估计在所有制度的红移和分离尺度。

英文摘要:

Stacked lensing is a powerful means of measuring the average mass distribution around large-scale structure tracers. There are two stacked lensing estimators used in the literature, denoted as $ΔΣ$ and $γ_+$, which are related as $ΔΣ=Σ_{\rm cr}γ_+$, where $Σ_{\rm cr}(z_l,z_s)$ is the critical surface mass density for each lens-source pair ($z_l$ and $z_s$ are lens and source redshifts, respectively). In this paper we derive a formula for the covariance matrix of $ΔΣ$-estimator focusing on `weight' function to improve the signal-to-noise ($S/N$). We assume that the lensing fields and the distribution of lensing objects obey the Gaussian statistics. With this formula, we show that, if background galaxy shapes are weighted by an amount of $Σ_{\rm cr}^{-2}(z_l,z_s)$, the $ΔΣ$-estimator maximizes the $S/N$ in the shot noise limited regime. We also show that the $ΔΣ$-estimator with the weight $Σ_{\rm cr}^{-2}$ gives a greater $(S/N)^2$ than that of the $γ_+$-estimator by about 5--25\% for lensing objects at redshifts comparable with or higher than the median of source galaxy redshifts for hypothetical Subaru HSC and DES surveys. However, for low-redshift lenses such as $z_l<0.3$, the $γ_+$-estimator has higher $(S/N)^2$ than $ΔΣ$. We also discuss that the $(S/N)^2$ for $ΔΣ$ at large separations in the sample variance limited regime can be boosted, by up to a factor of 1.5, if one adopts a weight of $Σ_{\rm cr}^{-α}$ with $α>2$. Our formula allows one to explore how the combination of the different estimators can approach an optimal estimator in all regimes of redshifts and separation scales.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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