The DEEP2 Galaxy Redshift Survey: The Voronoi-Delaunay Method Catalog of Galaxy Groups Metadata

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Title

  • Main Title The DEEP2 Galaxy Redshift Survey: The Voronoi-Delaunay Method Catalog of Galaxy Groups

Creator

  • Author: Gerke, Brian F.
    Creator Type: Personal
  • Author: Newman, Jeffrey A.
    Creator Type: Personal
  • Author: Davis, Marc
    Creator Type: Personal
  • Author: Marinoni, Christian
    Creator Type: Personal
  • Author: Yan, Renbin
    Creator Type: Personal
  • Author: Coil, Alison L.
    Creator Type: Personal
  • Author: Conroy, Charlie
    Creator Type: Personal
  • Author: Cooper, Michael C.
    Creator Type: Personal
  • Author: Faber, S.M.
    Creator Type: Personal
  • Author: Finkbeiner, Douglas P.
    Creator Type: Personal
  • Author: Guhathakurta, Puragra
    Creator Type: Personal
  • Author: Kaiser, Nick
    Creator Type: Personal
  • Author: Koo, David C.
    Creator Type: Personal
  • Author: Phillips, Andrew C.
    Creator Type: Personal
  • Author: Weiner, Benjamin J.
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization

Publisher

  • Name: SLAC National Accelerator Laboratory
    Place of Publication: United States
    Additional Info: SLAC National Accelerator Laboratory (SLAC)

Date

  • Creation: 2012-02-14

Language

  • English

Description

  • Content Description: We use the first 25% of the DEEP2 Galaxy Redshift Survey spectroscopic data to identify groups and clusters of galaxies in redshift space. The data set contains 8370 galaxies with confirmed redshifts in the range 0.7 {<=} z {<=} 1.4, over one square degree on the sky. Groups are identified using an algorithm (the Voronoi-Delaunay Method) that has been shown to accurately reproduce the statistics of groups in simulated DEEP2-like samples. We optimize this algorithm for the DEEP2 survey by applying it to realistic mock galaxy catalogs and assessing the results using a stringent set of criteria for measuring group-finding success, which we develop and describe in detail here. We find in particular that the group-finder can successfully identify {approx}78% of real groups and that {approx}79% of the galaxies that are true members of groups can be identified as such. Conversely, we estimate that {approx}55% of the groups we find can be definitively identified with real groups and that {approx}46% of the galaxies we place into groups are interloper field galaxies. Most importantly, we find that it is possible to measure the distribution of groups in redshift and velocity dispersion, n({sigma}, z), to an accuracy limited by cosmic variance, for dispersions greater than 350 km s{sup -1}. We anticipate that such measurements will allow strong constraints to be placed on the equation of state of the dark energy in the future. Finally, we present the first DEEP2 group catalog, which assigns 32% of the galaxies to 899 distinct groups with two or more members, 153 of which have velocity dispersions above 350 km s{sup -1}. We provide locations, redshifts and properties for this high-dispersion subsample. This catalog represents the largest sample to date of spectroscopically detected groups at z {approx} 1.
  • Physical Description: 26 p.; ill.

Subject

  • Keyword: Astrophysics,Grqc, Astro
  • Keyword: Statistics
  • Keyword: Sky
  • Keyword: Galaxies
  • Keyword: Velocity Astrophysics,Grqc, Astro
  • Keyword: Algorithms
  • STI Subject Categories: 71 Classical And Quantum Mechanics, General Physics
  • Keyword: Red Shift
  • Keyword: Galaxy Clusters
  • Keyword: Distribution
  • Keyword: Accuracy

Source

  • Journal Name: Submitted to Astrophysical Journal; Journal Volume: 751; Journal Issue: 1

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Report No.: SLAC-PUB-14492
  • Grant Number: AC02-76SF00515
  • DOI: 10.1088/0004-637X/751/1/50
  • Office of Scientific & Technical Information Report Number: 1035122
  • Archival Resource Key: ark:/67531/metadc834899

Note

  • Display Note: http://www.slac.stanford.edu/cgi-wrap/pubpage?slac-pub-14492.html
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