论文标题
Camira Galaxy簇的丰富性关系的基于聚类的自我校准,在超级Suprime-CAM调查中至$ z \ of $ z \大约1.1 $
A clustering-based self-calibration of the richness-to-mass relation of CAMIRA galaxy clusters out to $z\approx1.1$ in the Hyper Suprime-Cam survey
论文作者
论文摘要
我们对Camira Galaxy群集的丰富度质量($ n $ -M $)进行自我校准,并通过对Redshift Space Space两点相关功能进行建模,$ n \ geq15 $ in Redshift $ 0.2 \ leq leq z <1.1 $。这些相关函数是$ξ_ {\ mathrm {cc}} $的camira簇,自动相关函数$ξ_ {\ mathrm {\ mathrm {gg}} $ cmass galaxies的cmass galaxies spectroscopocopocopopalcopopopical spectromcopocationally comploscopopical of Boss调查中,以及交叉costrelation $} $} $}样品。我们专注于以一种向前模型的方法来约束$ n $ - $ m $关系的$ a _ {\ mathrm {n}} $,仔细考虑了comira clusers camira clusters的光度降低红色速度的红移空间畸变,god finger firn fister flatortion。该建模还考虑了对Camira簇的光环偏置的投影效应。根据验证测试,使用由N体模拟构建的大量模拟目录表明参数约束是公正的。在关键质量$ m_ {500} = 10^{14} h^{ - 1} m _ {\ odot} $和枢轴红移$ z _ {\ mathrm {piv}} = 0.6 $ $ 13.8^{+5.8} _ { - 4.2} $,$ 13.2^{+3.4} _ { - 2.7} $,$ 11.9^{+3.0} _ { - 1.9} $,通过建模$ $蒜$ 36 \%$,$ 23 \%$和$ 21 \%$。我们发现,所产生的$ a _ {\ mathrm {n}} $在统计上与从弱透镜放大倍率和剪切和簇宽度的联合分析中独立获得的$一致,并且偏爱较低的$ \ \ \ \ \syssimsim1.9σ$。这意味着,从聚类推断出的Camira簇的绝对质量尺度比独立方法高的质量尺度高。 [简略]
We perform a self-calibration of the richness-to-mass ($N$-$M$) relation of CAMIRA galaxy clusters with richness $N\geq15$ at redshift $0.2\leq z<1.1$ by modeling redshift-space two-point correlation functions. These correlation functions are $ξ_{\mathrm{cc}}$ of CAMIRA clusters, the auto-correlation function $ξ_{\mathrm{gg}}$ of the CMASS galaxies spectroscopically observed in the BOSS survey, and the cross-correlation function $ξ_{\mathrm{cg}}$ between these two samples. We focus on constraining the normalization $A_{\mathrm{N}}$ of the $N$-$M$ relation in a forward-modeling approach, carefully accounting for the redshift-space distortion, the Finger-of-God effect, and the uncertainty in photometric redshifts of CAMIRA clusters. The modeling also takes into account the projection effect on the halo bias of CAMIRA clusters. The parameter constraints are shown to be unbiased according to validation tests using a large set of mock catalogs constructed from N-body simulations. At the pivotal mass $M_{500}=10^{14}h^{-1}M_{\odot}$ and the pivotal redshift $z_{\mathrm{piv}} = 0.6$, the resulting normalization $A_{\mathrm{N}}$ is constrained as $13.8^{+5.8}_{-4.2}$, $13.2^{+3.4}_{-2.7}$, and $11.9^{+3.0}_{-1.9}$ by modeling $ξ_{\mathrm{cc}}$, $ξ_{\mathrm{cc}}+ξ_{\mathrm{cg}}$, and $ξ_{\mathrm{cc}} + ξ_{\mathrm{cg}} + ξ_{\mathrm{gg}}$, with average uncertainties at levels of $36\%$, $23\%$, and $21\%$, respectively. We find that the resulting $A_{\mathrm{N}}$ is statistically consistent with those independently obtained from weak-lensing magnification and from a joint analysis of shear and cluster abundance, with a preference for a lower value at a level of $\lesssim1.9σ$. This implies that the absolute mass scale of CAMIRA clusters inferred from clustering is mildly higher than those from the independent methods. [abridged]