4.7 Article

Detecting filamentary pattern in the cosmic web: a catalogue of filaments for the SDSS

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stt2454

关键词

methods: data analysis; methods: statistical; catalogues; galaxies: statistics; large-scale structure of Universe

资金

  1. Estonian Science Foundation [9428, MJD272, PUT246]
  2. Estonian Ministry for Education and Science [SF0060067s08]
  3. Centre of Excellence of Dark Matter in (Astro) particle Physics and Cosmology
  4. Spanish Ministry of Science and Innovation [AYA2010-22111-C03-02]
  5. Generalitat Valenciana project of excellence Prometeo [2009/064]
  6. Universite Lille 1
  7. GDR 3477 Geometrie stochastique
  8. Tartu Observatory
  9. Valencia Observatory
  10. Alfred P. Sloan Foundation
  11. Participating Institutions
  12. National Science Foundation
  13. US Department of Energy Office of Science

向作者/读者索取更多资源

The main feature of the spatial large-scale galaxy distribution is its intricate network of galaxy filaments. This network is spanned by the galaxy locations that can be interpreted as a three-dimensional point distribution. The global properties of the point process can be measured by different statistical methods, which, however, do not describe directly the structure elements. The morphology of the large-scale structure, on the other hand, is an important property of the galaxy distribution. Here, we apply an object point process with interactions (the Bisous model) to trace and extract the filamentary network in the presently largest galaxy redshift survey, the Sloan Digital Sky Survey (SDSS). We search for filaments in the galaxy distribution that have a radius of about 0.5 h(-1) Mpc. We divide the detected network into single filaments and present a public catalogue of filaments. We study the filament length distribution and show that the longest filaments reach the length of 60 h(-1) Mpc. The filaments contain 35-40 per cent of the total galaxy luminosity and they cover roughly 5-8 per cent of the total volume, in good agreement with N-body simulations and previous observational results.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据