A 2.5% measurement of the growth rate from small-scale redshift space clustering of SDSS-III CMASS galaxies
A 2.5% measurement of the growth rate from small-scale redshift space clustering of SDSS-III CMASS galaxies
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A%202.5%%20测量%20of%20%20增长%20率%20来自%20小规模%20红移%20空间%20聚类%20of%20SDSS-III%20CMASS%20星系
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发表时间:
2014
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通讯作者:
White
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作者:
B. Reid;H. Seo;A. Leauthaud;J. Tinker;Martin;White
We perform the first fit to the anisotropic clustering of SDSS-III CMASS DR10 galaxies on scales of ∼ 0 . 8 − 32 h − 1 Mpc. A standard halo occupation distribution model evaluated near the best fit Planck Λ CDM cosmology provides a good fit to the observed anisotropic clustering, and implies a normalization for the peculiar velocity field of M ∼ 2 × 10 13 h − 1 M (cid:12) halos of f σ 8 ( z = 0 . 57) = 0 . 450 ± 0 . 011. Since this constraint includes both quasi-linear and non-linear scales, it should severely constrain modified gravity models that enhance pairwise infall velocities on these scales. Though model dependent, our measurement represents a factor of 2.5 improvement in precision over the analysis of DR11 on large scales, f σ 8 ( z = 0 . 57) = 0 . 447 ± 0 . 028, and is the tightest single constraint on the growth rate of cosmic structure to date. Our measurement is consistent with the Planck Λ CDM prediction of 0 . 480 ± 0 . 010 at the ∼ 1 . 9 σ level. Assuming a halo mass function evaluated at the best fit Planck cosmology, we also find that 10% of CMASS galaxies are satellites in halos of mass M ∼ 6 × 10 13 h − 1 M (cid:12) . While none of our tests and model generalizations indicate systematic errors due to an insufficiently detailed model of the galaxy-halo connection, the precision of these first results warrant further investigation into the modeling uncertainties and degeneracies with cosmological parameters. clustering of galaxies at relatively small separations ( ∼ 0 . 8 − 32 h − 1 Mpc) and the predictions of a standard halo model in the context of Λ CDM. We found good agreement between our simplified, redshift-independent HOD model and our