论文标题
HSC调查第一年数据的弱透镜簇:减轻前景和簇成员星系的稀释效应
Weak lensing clusters from HSC survey first-year data: Mitigating the dilution effect of foreground and cluster member galaxies
论文作者
论文摘要
我们使用Hyper Suprime-CAM Subaru战略计划(HSC调查)提出了薄弱的镜头群集搜索。我们特别注意集群成员和前景星系对星系簇的弱透镜信号的稀释效应;我们采用全球归一化的弱透镜估计器,该估计量受群集成员星系影响最小,我们通过使用光度红移信息来选择源星系来减轻前景星系的效果。我们生产六个具有不同低$ z $星系的源星系样本,为每个源样本构造弱透镜质量地图,并在质量地图中搜索覆盖有效的调查区域$ \ sim $ 120度$^2 $的高峰。我们将六个高峰的目录组合到一个群集候选样品中,这些聚类候选物包含124个高峰,具有信噪比大于五的峰值。我们与从相同的HSC调查数据构建的公共光聚类目录进行峰值样本,以识别峰的集群对应物。我们发现,在124个峰中,有107个峰与峰位置的5个Arcmin之内的簇相匹配。其中,我们定义了64个安全簇的子样本,我们用来检查稀释量对弱透镜群集搜索的影响。我们发现,低$ z $ Galaxy的源样本可减少对高$ z $簇的弱透镜信号($ z> 0.3 $)的稀释效果,从而将来自不同源样本的多个峰值目录结合起来提高了弱透镜群集群搜索的效率。
We present a weak lensing cluster search using Hyper Suprime-Cam Subaru Strategic Program (HSC survey) first-year data. We pay special attention to the dilution effect of cluster member and foreground galaxies on weak lensing signals from clusters of galaxies; we adopt the globally normalized weak lensing estimator which is least affected by cluster member galaxies, and we select source galaxies by using photometric redshift information to mitigate the effect of foreground galaxies. We produce six samples of source galaxies with different low-$z$ galaxy cuts, construct weak lensing mass maps for each of the source sample, and search for high peaks in the mass maps that cover an effective survey area of $\sim$120 deg$^2$. We combine six catalogs of high peaks into a sample of cluster candidates which contains 124 high peaks with signal-to-noise ratios greater than five. We cross-match the peak sample with the public optical cluster catalog constructed from the same HSC survey data to identify cluster counterparts of the peaks. We find that 107 out of 124 peaks have matched clusters within 5 arcmin from peak positions. Among them, we define a sub-sample of 64 secure clusters that we use to examine dilution effects on our weak lensing cluster search. We find that source samples with the low-$z$ galaxy cuts mitigate the dilution effect on weak lensing signals of high-$z$ clusters ($z > 0.3$), and thus combining multiple peak catalogs from different source samples improves the efficiency of weak lensing cluster searches.