Statistics
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...211.5501p&link_type=abstract
American Astronomical Society, AAS Meeting #211, #55.01; Bulletin of the American Astronomical Society, Vol. 39, p.825
Statistics
Scientific paper
We present a new catalog of 526 voids identified from volume-limited samples of the SDSS using the algorithm described in Hoyle & Vogeley (2002). We test the sensitivity of void properties to details of this algorithm and quantify the clustering of galaxies that lie within these voids. The internal structure of voids reflects both their growth by gravitational instability and the details of how light traces mass in the lowest-density environments of the universe. We find that voids traced by L* galaxies fill 50% of the volume of space. Measurement of their radial density profiles reveals the signature of void growth by gravitational instability: nearly flat density profiles with δρ/ρ -0.9 in their central regions and a sharp rise at the walls of the voids. This behavior indicates that voids are dynamically distinct elements of large-scale structure. Within the voids, we quantify smaller-scale structure by measuring the two-point correlation function and ShapeFinder (Sahni et al. 1998) statistics of void galaxies. This largest to-date catalog of voids will be made publicly available as a value-added catalog to supplement the SDSS data.
Hoyle Fiona
Pan Danny
Vogeley Michael S.
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