Clusters in the disperse cosmic web

Author:

Cohn J D12ORCID

Affiliation:

1. Space Sciences Laboratory, University of California, Berkeley, CA 94720, USA

2. Theoretical Astrophysics Center, University of California, Berkeley, CA 94720, USA

Abstract

ABSTRACT Galaxy cluster mass haloes (‘clusters’) in a dark matter simulation are matched to nodes in several different cosmic webs found using the disperse cosmic web finder. The webs have different simulation smoothings and disperse parameter choices; for each, four methods are considered for matching disperse nodes to clusters. For most of the webs, disperse nodes outnumber clusters, but not every cluster has a disperse node match (and sometimes >1 cluster matches to the same disperse node). The clusters frequently lacking a matching disperse node have a different distribution of local shear trends and perhaps merger histories. It might be interesting to see in what other ways, e.g. observational properties, these clusters differ. For the webs with smoothing ≤ 2.5 Mpc h−1, and all but the most restrictive matching criterion, ∼3/4 of the clusters always have a disperse node counterpart. The nearest cluster to a given disperse node and vice versa, within twice the smoothing length, obey a cluster mass-disperse node density relation. Cluster pairs where both clusters match disperse nodes can also be assigned the filaments between those nodes, but as the web and matching methods are varied most such filaments do not remain. There is an enhancement of subhalo counts and halo mass between cluster pairs, averaging over cluster pairs assigned disperse filaments increases the enhancement. The approach here also lends itself to comparing nodes across many cosmic web constructions, using the fixed underlying cluster distribution to make a correspondence.

Funder

CCA

CERN

NYU

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3