期刊
ASTRONOMY AND COMPUTING
卷 27, 期 -, 页码 53-62出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ascom.2019.03.001
关键词
Multivariate analysis; Cosmology; Cosmic voids; Shot noise; Redshift-space distortions
资金
- OCEVU LABEX, France [ANR-11-LABX-0060]
- A*MIDEX project - Investissements d'Avenir french government program [ANR-11-IDEX-0001-02]
- ANR eBOSS project of the French National Research Agency, France [ANR-16-CE31-0021]
- DFG, Germany cluster of excellence 'Origin and Structure of the Universe'
- Trans-Regional Collaborative Research Center 'The Dark Universe' of the DFG [TRR 33]
- Alfred P. Sloan Foundation, USA
- National Science Foundation, USA
- U.S. Department of Energy, USA Office of Science
- University of Arizona
- Brazilian Participation Group
- Brookhaven National Laboratory
- Carnegie Mellon University
- University of Florida
- French Participation Group
- German Participation Group
- Harvard University
- Instituto de Astrofisica de Canarias
- Michigan State/Notre Dame/JINA Participation Group
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- Max Planck Institute for Astrophysics
- Max Planck Institute for Extraterrestrial Physics
- New Mexico State University
- New York University
- Ohio State University
- Pennsylvania State University
- University of Portsmouth
- Princeton University
- Spanish Participation Group
- University of Tokyo
- University of Utah
- Vanderbilt University
- University of Virginia
- University of Washington
- Yale University
The aim of this study is to distinguish genuine cosmic voids, found in a galaxy catalog by the void finder ZOBOV-VIDE, from under-dense regions in a Poisson distribution of objects. For this purpose, we perform two multivariate analyses using the following physical void characteristics: volume, redshift, density contrast, minimum density, contrast significance and number of member galaxies of the void. The multivariate analyses are trained on a catalog of voids obtained from a random Poisson distribution of points, used as background, and a catalog of voids identified in a mock galaxy catalog, used as signal. The classifications are then applied to voids extracted from the Data Release 12 sample of Luminous Red Galaxies in the redshift range 0.45 <= z <= 0.7 from the Sloan Digital Sky Survey Baryon Oscillation Spectroscopic Survey (SDSS BOSS DR12 CMASS). Our results show that the resulting void catalog is nearly free of contamination by Poisson noise. We also study the effect of tracer sparsity and bias on the classification efficiencies. (C) 2019 Elsevier B.V. All rights reserved.
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