论文标题

将宇宙空隙识别为巨大的集群对应物

Identification of Cosmic Voids as Massive Cluster Counterparts

论文作者

Shim, Junsup, Park, Changbom, Kim, Juhan, Hwang, Ho Seong

论文摘要

我们开发了一种通过采用物理动力的概念,即空隙是大量群集的对应物,从而从物质密度场中识别宇宙空隙。为了证明该概念,我们使用了一对$λ$ CDM模拟,参考及其初始密度向内的镜像模拟,并研究空隙的有效大小与相应簇的质量之间的关系。通过链接暗物质粒子,在$ z = 0 $的镜像模拟中确定了星系群尺度的暗物质光环。参考模拟中对应于每个群集的空隙被定义为群集成员颗粒所占据的区域。我们研究了对应于光晕的空隙,大于$ 10^{13} h^{ - 1} m _ {\ odot} $。我们发现空隙尺寸与相应簇质量之间的幂律缩放关系。具有相应群集质量高于$ 10^{15} h^{ - 1} m _ {\ odot} $ usedy $ \ sim1 \%$的空隙,而此分数增加到$ \ sim54 \%$ $ $ \ sim54 \%$,对于相应的cluster cluster speed cluster cluster speed $ 10^$ 10^^{13} $ _}还发现,已识别的空隙的密度曲线遵循通用功能形式。基于这些发现,我们提出了一种方法,可以通过利用三个参数,例如平滑量表,密度阈值和最小核心分数,直接从物质密度字段识别群集 - 符合点。我们恢复对对应于群集的空隙,比$ 3 \ times10^{14} h^{ - 1} m _ {\ odot} $在70--74 \%的完整性和可靠性级别。我们的结果表明,我们能够以一种将它们与特定质量规模的簇相关联的方式识别空隙。

We develop a method to identify cosmic voids from the matter density field by adopting a physically-motivated concept that voids are the counterpart of massive clusters. To prove the concept we use a pair of $Λ$CDM simulations, a reference and its initial density-inverted mirror simulation, and study the relation between the effective size of voids and the mass of corresponding clusters. Galaxy cluster-scale dark matter halos are identified in the Mirror simulation at $z=0$ by linking dark matter particles. The void corresponding to each cluster is defined in the Reference simulation as the region occupied by the member particles of the cluster. We study the voids corresponding to the halos more massive than $10^{13}h^{-1}M_{\odot}$. We find a power-law scaling relation between the void size and the corresponding cluster mass. Voids with corresponding cluster mass above $10^{15}h^{-1}M_{\odot}$ occupy $\sim1\%$ of the total simulated volume, whereas this fraction increases to $\sim54\%$ for voids with corresponding cluster mass above $10^{13}h^{-1}M_{\odot}$. It is also found that the density profile of the identified voids follows a universal functional form. Based on these findings, we propose a method to identify cluster-counterpart voids directly from the matter density field without their mirror information by utilizing three parameters such as the smoothing scale, density threshold, and minimum core fraction. We recover voids corresponding to clusters more massive than $3\times10^{14}h^{-1}M_{\odot}$ at 70--74 \% level of completeness and reliability. Our results suggest that we are able to identify voids in a way to associate them with clusters of a particular mass-scale.

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