2011
DOI: 10.1111/j.1365-2966.2011.20174.x
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Reconstructing the cosmic velocity and tidal fields with galaxy groups selected from the Sloan Digital Sky Survey

Abstract: Cosmic velocity and tidal fields are important for the understanding of the cosmic web and the environments of galaxies, and can also be used to constrain cosmology. In this paper, we reconstruct these two fields in the Sloan Digital Sky Survey (SDSS) volume from dark matter halos represented by galaxy groups. Detailed mock catalogues are used to test the reliability of our method against uncertainties arising from redshift distortions, survey boundaries, and false identifications of groups by our group finder… Show more

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Cited by 90 publications
(117 citation statements)
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References 79 publications
(110 reference statements)
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“…As stated in Wang et al (2012), the accuracy of the reconstructed density and peculiar velocity fields depends on the filtering scale. On small scales R f < 2l c , the reconstructed fields are expected to be inaccurate owing to the limited spatial resolution.…”
Section: Observational Datamentioning
confidence: 96%
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“…As stated in Wang et al (2012), the accuracy of the reconstructed density and peculiar velocity fields depends on the filtering scale. On small scales R f < 2l c , the reconstructed fields are expected to be inaccurate owing to the limited spatial resolution.…”
Section: Observational Datamentioning
confidence: 96%
“…To determine the principal axes of the local velocity shears at the positions of the selected host galaxies, we utilize the density and velocity fields reconstructed by Wang et al (2009Wang et al ( , 2012 from the galaxy group catalog based on the SDSS DR7 (Blanton et al 2005;Abazajian et al 2009). Wang et al (2012) estimated the masses of the galaxy groups according to the prescriptions of Yang et al (2007), which is based on the ranking of the stellar masses of the galaxies and a varying mass-to-light ratio model. For a detailed description of the halo-mass estimator, see Yang et al (2007).…”
Section: Observational Datamentioning
confidence: 99%
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