论文标题

宇宙学带有亚亚毫米级星系放大偏见:概念证明

Cosmology with the submillimetre galaxies magnification bias: Proof of concept

论文作者

Bonavera, L., González-Nuevo, J., Cueli, M. M., Ronconi, T., Migliaccio, M., Dunne, L., Lapi, A., Maddox, S. J., Negrello, M.

论文摘要

语境。正如最近所证明的那样,High-Z亚略算星系(SMG)是追踪星系和簇的质量密度曲线(Baryonic和Dark Matter)的理想背景样本,以及通过重力透镜的时间进化。它们的放大偏置是一种弱重力镜头效应,是一种强大的工具,用于限制光晕占用分布(HOD)模型的自由参数,并且可能也可能是一些主要的宇宙学参数。目标。这项工作的目的是测试作为宇宙学探针在高Z SMG上产生的放大偏置的能力。我们利用互相关数据不仅限制了天体物理参数($ m_ {min} $,$ m_1 $和$α$),还限制了一些概念证明的概念证明。方法。在0.2 <z <0.8范围内具有光谱红移的GAMA星系前景样品与具有光度红移> 1.2的H-ATLAS星系的背景样品之间测得的互相关函数,使用传统的Halo模型描述对HOD和宇宙学参数进行了建模。然后,通过使用不同的先验者组来测试结果的鲁棒性,并研究可观察到的这一新颖的可观察到的性能,并使用当前的数据结果集来估算这些参数,以测试结果的鲁棒性,以测试结果的鲁棒性。有了我们当前的结果,$ω_m$和$ H_0 $不能受到很好的约束。但是,我们可以在95 \%置信度(CL)上将下限设置为$ω_m$,我们看到$ H_0> 70 $ $值的趋势略有趋势。对于我们对$σ_8$的限制,我们仅获得0.75左右的暂定峰,但有趣的上限为$σ_8\ Lessim 1 $ 95 \%Cl。我们还研究了通过对天体物理参数施加更多限制性先验来获得更好约束的可能性。

Context. As recently demonstrated, high-z submillimetre galaxies (SMGs) are the perfect background sample for tracing the mass density profiles of galaxies and clusters (baryonic and dark matter) and their time-evolution through gravitational lensing. Their magnification bias, a weak gravitational lensing effect, is a powerful tool for constraining the free parameters of a halo occupation distribution (HOD) model and potentially also some of the main cosmological parameters. Aims. The aim of this work is to test the capability of the magnification bias produced on high-z SMGs as a cosmological probe. We exploit cross-correlation data to constrain not only astrophysical parameters ($M_{min}$, $M_1$, and $α$), but also some of the cosmological ones ($Ω_m$, $σ_8$, and $H_0$) for this proof of concept. Methods. The measured cross-correlation function between a foreground sample of GAMA galaxies with spectroscopic redshifts in the range 0.2 < z < 0.8 and a background sample of H-ATLAS galaxies with photometric redshifts >1.2 is modelled using the traditional halo model description that depends on HOD and cosmological parameters. These parameters are then estimated by performing a Markov chain Monte Carlo analysis using different sets of priors to test the robustness of the results and to study the performance of this novel observable with the current set of data Results. With our current results, $Ω_m$ and $H_0$ cannot be well constrained. However, we can set a lower limit of >0.24 at 95\% confidence level (CL) on $Ω_m$ and we see a slight trend towards $H_0>70$ values. For our constraints on $σ_8$ we obtain only a tentative peak around 0.75, but an interesting upper limit of $σ_8\lesssim 1$ at 95\% CL. We also study the possibility to derive better constraints by imposing more restrictive priors on the astrophysical parameters.

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