The maximum extent of the filaments and sheets in the cosmic web: an analysis of the SDSS DR17

被引:5
|
作者
Sarkar, Prakash [1 ]
Pandey, Biswajit [2 ]
Sarkar, Suman [3 ]
机构
[1] Kaslzi Sahu Coll, Dept Phys, Seraikella, Jharkhand, India
[2] Visva Bharati Univ, Dept Phys, Santini Ketan 731235, West Bengal, India
[3] Indian Inst Sci Educ & Res Tirupati, Dept Phys, Tiruputi 517507, Andhra Pradesh, India
基金
美国国家科学基金会; 美国国家航空航天局;
关键词
methods: statistical; methods: data analysis; galaxies: formation; galaxies: evolution; cosmology: large scale structure of Universe; DIGITAL-SKY-SURVEY; LARGE-SCALE STRUCTURE; TESTING HOMOGENEITY; SUPERCLUSTER; MORPHOLOGY; UNIVERSE; PERCOLATION; ISOTROPY; SHAPEFINDERS; GALAXIES;
D O I
10.1093/mnras/stac3722
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Filaments and sheets are striking visual patterns in cosmic web. The maximum extent of these large-scale structures are difficult to determine due to their structural variety and complexity. We construct a volume-limited sample of galaxies in a cubic region from the SDSS, divide it into smaller subcubes and shuffle them around. We quantify the average filamentarity and planarity in the 3D galaxy distribution as a function of the density threshold and compare them with those from the shuffled realizations of the original data. The analysis is repeated for different shuffling lengths by varying the size of the subcubes. The average filamentarity and planarity in the shuffled data show a significant reduction when the shuffling scales are smaller than the maximum size of the genuine filaments and sheets. We observe a statistically significant reduction in these statistical measures even at a shuffling scale of , indicating that the filaments and sheets in three dimensions can extend up to this length scale. They may extend to somewhat larger length scales that are missed by our analysis due to the limited size of the SDSS data cube. We expect to determine these length scales by applying this method to deeper and larger surveys in future.
引用
收藏
页码:3227 / 3236
页数:10
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