High-order 3D Voronoi tessellation for identifying isolated galaxies, pairs and triplets

被引:25
|
作者
Elyiv, A. [1 ]
Melnyk, O. [1 ,2 ]
Vavilova, I. [1 ,3 ]
机构
[1] Ukrainian Acad Sci, Main Astron Observ, UA-03680 Kiev, Ukraine
[2] Kyiv Natl Univ, Astron Observ, UA-04053 Kiev, Ukraine
[3] Natl Acad Sci Ukraine, Space Res Inst, Natl Space Agcy Ukraine, UA-03680 Kiev, Ukraine
关键词
galaxies: general; galaxies: kinematics and dynamics; dark matter; DIGITAL SKY SURVEY; TRIGGERED STAR-FORMATION; CNOC2 REDSHIFT SURVEY; LARGE-SCALE STRUCTURE; CLOSE PAIRS; ENVIRONMENTAL DEPENDENCE; RICH CLUSTERS; MERGER RATE; DETECTION ALGORITHMS; NEARBY GALAXIES;
D O I
10.1111/j.1365-2966.2008.14150.x
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
A geometric method based on the high-order 3D Voronoi tessellation is proposed for identifying single galaxies, pairs and triplets. This approach allows us to select small galaxy groups and isolated galaxies in different environments and to find the isolated systems. The volume-limited sample of galaxies from the Sloan Digital Sky Survey Data Release 5 spectroscopic survey was used. We conclude that in such small groups as pairs and triplets, segregation by luminosity is clearly observed: galaxies in isolated pairs and triplets are on average two times more luminous than isolated galaxies. We consider the dark matter content in different systems. The median values of mass-to-luminosity ratio are 12 M-circle dot/L-circle dot for the isolated pairs and 44 M-circle dot/L-circle dot for the isolated triplets, and 7 (8) M-circle dot/L-circle dot for the most compact pairs (triplets). We also found that systems in denser environments have greater rms velocity and mass-to-luminosity ratio.
引用
收藏
页码:1409 / 1418
页数:10
相关论文
共 50 条
  • [21] Identifying synergistic high-order 3D chromatin conformations from genome-scale nanopore concatemer sequencing
    Deshpande, Aditya S.
    Ulahannan, Netha
    Pendleton, Matthew
    Dai, Xiaoguang
    Ly, Lynn
    Behr, Julie M.
    Schwenk, Stefan
    Liao, Will
    Augello, Michael A.
    Tyer, Carly
    Rughani, Priyesh
    Kudman, Sarah
    Tian, Huasong
    Otis, Hannah G.
    Adney, Emily
    Wilkes, David
    Mosquera, Juan Miguel
    Barbieri, Christopher E.
    Melnick, Ari
    Stoddart, David
    Turner, Daniel J.
    Juul, Sissel
    Harrington, Eoghan
    Imielinski, Marcin
    NATURE BIOTECHNOLOGY, 2022, 40 (10) : 1488 - +
  • [22] Modeling of Polycrystalline Material Microstructure with 3D Grain Boundary Based on Laguerre-Voronoi Tessellation
    Zheng, Xingshuai
    Sun, Tengfei
    Zhou, Jixing
    Zhang, Rupeng
    Ming, Pingmei
    MATERIALS, 2022, 15 (06)
  • [23] Exact asymptotic statistics of the n-edged face in a 3D Poisson-Voronoi tessellation
    Hilhorst, H. J.
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2016,
  • [24] Efficient Nonlinear Solvers for Nodal High-Order Finite Elements in 3D
    Brown, Jed
    JOURNAL OF SCIENTIFIC COMPUTING, 2010, 45 (1-3) : 48 - 63
  • [25] High-Order Photonic Cavity Modes Enabled 3D Structural Colors
    Liu, Hailong
    Wang, Hongtao
    Wang, Hao
    Deng, Jie
    Ruan, Qifeng
    Zhang, Wang
    Abdelraouf, Omar A. M.
    Ang, Norman Soo Seng
    Dong, Zhaogang
    Yang, Joel K. W.
    Liu, Hong
    ACS NANO, 2022, 16 (05) : 8244 - 8252
  • [26] High-order 3D virtual element method for linear and nonlinear elasticity
    Xu, Bing-Bing
    Fan, Wei-Long
    Wriggers, Peter
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 431
  • [27] An overset mesh approach for 3D mixed element high-order discretizations
    Brazell, Michael J.
    Sitaraman, Jayanarayanan
    Mavriplis, Dimitri J.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2016, 322 : 33 - 51
  • [28] High-order multilayer attention fusion network for 3D object detection
    Zhang, Baowen
    Zhao, Yongyong
    Su, Chengzhi
    Cao, Guohua
    ENGINEERING REPORTS, 2024, 6 (12)
  • [29] Application of the Voronoi tessellation to study transport and segregation of grains inside 2D and 3D packings of spheres
    Richard, Patrick
    Oger, Luc
    Lemaitre, Jacques
    Samson, Liliane
    Medvedev, Nikolai N.
    GRANULAR MATTER, 1999, 1 (04) : 203 - 211
  • [30] Efficient nonlinear solvers for nodal high-order finite elements in 3D
    Versuchsanstalt für Wasserbau, Hydrologie und Glaziologie , ETH Zürich, Zürich, Switzerland
    J Sci Comput, 1-3 (48-63):