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Published December 6, 2022 | Version 1.3.0

VAST void catalogs for SDSS DR7

  • 1. University of Rochester

Description

Version 1.3 of the void catalogs; all files have been updated. The peer-reviewed publication for these catalogs is accepted for publication in the Astrophysical Journal Supplemental Series, an American Astronomical Society journal. A preprint of the paper is available at https://arxiv.org/abs/2202.01226; please cite this article when using any of these catalogs.

We provide three void catalogs using a volume-limited subsample of the SDSS DR7 for two cosmologies (Planck 2018 and WMAP5) using new implementations of two different void-finding algorithms from the Void Analysis Software Toolkit (VAST): VoidFinder and Voronoi Voids (V2). We identify 1163 cosmic voids with VoidFinder, 531 with V2 using VIDE pruning, and 518 with V2 using REVOLVER pruning, with the Planck 2018 cosmology, and 1184, 535, and 519 voids with the WMAP5 cosmology, respectively.  These catalogs exist within the SDSS DR7 main survey volume, out to a maximum redshift of 0.114. Effective radii and centers for all voids are computed and included with the catalogs; the median void effective radius is 15-19 h-1 Mpc for all three catalogs, and none have an effective radius larger than 54 h-1 Mpc.

All catalog files are in ASCII format with commented headers.  An example of each file is shown in Tables 1-5 in the associated journal article. For each galaxy in the _galzones.dat files, the NSAID column corresponds to that galaxy's ID number in the NASA-Sloan Atlas.  Guidance on how to use these catalogs can be found at https://vast.readthedocs.io/en/latest/.  We also provide the mask file used in generating the VoidFinder void catalog with Planck 2018 cosmology.

Planck 2018 cosmology

  • VoidFinder
    • VoidFinder-nsa_v1_0_1_Planck2018_comoving_holes.txt
    • VoidFinder-nsa_v1_0_1_Planck2018_comoving_maximals.txt
    • NSA_main_mask.pickle
  • V2
    • VIDE pruning
      • V2_VIDE-nsa_v1_0_1_Planck2018_galzones.dat
      • V2_VIDE-nsa_v1_0_1_Planck2018_zonevoids.dat
      • V2_VIDE-nsa_v1_0_1_Planck2018_zobovoids.dat
    • REVOLVER pruning
      • V2_REVOLVER-nsa_v1_0_1_Planck2018_galzones.dat
      • V2_REVOLVER-nsa_v1_0_1_Planck2018_zonevoids.dat
      • V2_REVOLVER-nsa_v1_0_1_Planck2018_zobovoids.dat

WMAP5 cosmology

  • VoidFinder
    • VoidFinder-nsa_v1_0_1_WMAP5_comoving_holes.txt
    • VoidFinder-nsa_v1_0_1_WMAP5_comoving_maximals.txt
  • V2
    • VIDE pruning
      • V2_VIDE-nsa_v1_0_1_WMAP5_galzones.dat
      • V2_VIDE-nsa_v1_0_1_WMAP5_zonevoids.dat
      • V2_VIDE-nsa_v1_0_1_WMAP5_zobovoids.dat
    • REVOLVER pruning
      • V2_REVOLVER-nsa_v1_0_1_WMAP5_galzones.dat
      • V2_REVOLVER-nsa_v1_0_1_WMAP5_zonevoids.dat
      • V2_REVOLVER-nsa_v1_0_1_WMAP5_zobovoids.dat

Notes

K.D. and D.V. acknowledge support from grant 62177 from the John Templeton Foundation.

Files

VoidFinder-nsa_v1_0_1_Planck2018_comoving_holes.txt

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