Journal article
Three-Dimensional Genus Statistics of Galaxies in the SDSS Early Data Release
Publications of the Astronomical Society of Japan, v 54(5), pp 707-717
25 Oct 2002
Abstract
We present the first analysis of three-dimensional genus statistics for the SDSS EDR galaxy sample. Due to the complicated survey volume and the selection function, analytic predictions of the genus statistics for this sample are not feasible; therefore, we construct extensive mock catalogs from
$ N$
-body simulations in order to compare the observed data with model predictions. This comparison allows us to evaluate the effects of a variety of observational systematics on the estimated genus for the SDSS sample, including the shape of the survey volume, the redshift distortion effect, and the radial selection function due to the magnitude limit. The observed genus for the SDSS EDR galaxy sample is consistent with that predicted by simulations of a
$ \Lambda$
-dominated spatially-flat cold dark matter model. Standard (
$ \Omega_0=1$
) cold dark matter model predictions do not match the observations. We discuss how future SDSS galaxy samples will yield improved estimates of the genus.
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Details
- Title
- Three-Dimensional Genus Statistics of Galaxies in the SDSS Early Data Release
- Creators
- Chiaki Hikage - University of TokyoYasushi Suto - University of TokyoIssha Kayo - University of TokyoAtsushi Taruya - University of TokyoTakahiko Matsubara - Nagoya UniversityMichael S Vogeley - Drexel UniversityFiona Hoyle - Drexel UniversityJ. Richard Gott - Princeton UniversityJon Brinkmann - Apache CorporationSDSS Collaboration
- Publication Details
- Publications of the Astronomical Society of Japan, v 54(5), pp 707-717
- Publisher
- Oxford University Press
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000178970100010
- Scopus ID
- 2-s2.0-0036455837
- Other Identifier
- 991019168482504721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Astronomy & Astrophysics