论文标题
与从普朗克数据中选择的候选杂货商相关的水肺-2过度残留
SCUBA-2 overdensities associated with candidate protoclusters selected from Planck data
论文作者
论文摘要
我们测量从Planck High-Z目录（PHZ）中选择的46个候选原始群体的850- $ m $ m源密度，以及紧凑型源（PCC）的Planck目录，这些目录与Herschel-Spire和Scuba-2一起进行。本文旨在寻找850- $ $ M $ M的过度源，以便选择最有可能是真正的原始群体的田地。在46个候选原群体中，有25个具有显着的过度（$> $ 5倍$ 5倍），有11个具有中间过度的过度（3---5倍的现场计数），而10个没有过度密度（$ <$ <$ <$ <$ 3倍的现场计数）为850- $ $ $ $ M $ M m m源。我们发现增强的数量密度不太可能是样本方差的结果。与从普朗克紧凑型源目录中选择的另一个样本的数量计数相比，此[PHZ+PCC]选择的样品的候选原生物群的比例较高，尽管两个样品都表现出过度残基的过度繁殖，为850- $ $ $ M $ M的源高于中等水平。基于估计的恒星形成率密度（SFRD），我们建议两个样品都可以有效地选择带有星状星系的prodoclusters在全球田地SFRD峰附近（$ 2 <z <z <3 $）附近。基于此处发现的过度残基的确认，对其他PHZ目标的未来后续观察可能会大大增加真正的DSFG簇/原始群体的数量。
We measure the 850-$μ$m source densities of 46 candidate protoclusters selected from the Planck High-z catalogue (PHz) and the Planck Catalogue of Compact Sources (PCCS) that were followed up with Herschel-SPIRE and SCUBA-2. This paper aims to search for overdensities of 850-$μ$m sources in order to select the fields that are most likely to be genuine protoclusters. Of the 46 candidate protoclusters, 25 have significant overdensities ($>$5 times the field counts), 11 have intermediate overdensities (3--5 times the field counts) and 10 have no overdensity ($<$3 times the field counts) of 850-$μ$m sources. We find that the enhanced number densities are unlikely to be the result of sample variance. Compared with the number counts of another sample selected from Planck's compact source catalogues, this [PHz+PCCS]-selected sample has a higher fraction of candidate protoclusters with significant overdensities, though both samples show overdensities of 850-$μ$m sources above intermediate level. Based on the estimated star-formation rate densities (SFRDs), we suggest that both samples can efficiently select protoclusters with starbursting galaxies near the redshift at which the global field SFRD peaks ($2 < z < 3$). Based on the confirmation of overdensities found here, future follow-up observations on other PHz targets may greatly increase the number of genuine DSFG-rich clusters/protoclusters.
