4.7 Article

THE BARYONIC ACOUSTIC FEATURE AND LARGE-SCALE CLUSTERING IN THE SLOAN DIGITAL SKY SURVEY LUMINOUS RED GALAXY SAMPLE

Journal

ASTROPHYSICAL JOURNAL
Volume 710, Issue 2, Pages 1444-1461

Publisher

IOP Publishing Ltd
DOI: 10.1088/0004-637X/710/2/1444

Keywords

cosmology: observations; distance scale; galaxies: elliptical and lenticular, cD; large-scale structure of universe

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We examine the correlation function. of the Sloan Digital Sky Survey Luminous Red Galaxy sample at large scales (60 h(-1) Mpc < s < 400 h(-1) Mpc) using the final data release (DR7). Focusing on a quasi-volume-limited (0.16 < z < 0.36) subsample and utilizing mock galaxy catalogs, we demonstrate that the observed baryonic acoustic peak and larger scale signal are consistent with ACDM at 70%-95% confidence. Fitting data to a non-linear, redshift-space, template-based model, we constrain the peak position at s(p) = 101.7 +/- 3.0 h(-1) Mpc when fitting the range 60 h(-1) Mpc < s < 150 h(-1) Mpc (1 sigma uncertainties). This redshift-space distance s(p) is related to the comoving sound horizon scale r(s) after taking into account matter-clustering non-linearities, redshift distortions, and galaxy-clustering bias. Mock catalogs show that the probability that a DR7-sized sample would not have an identifiable peak is at least similar to 10%. As a consistency check of a fiducial cosmology, we use the observed sp to obtain the distance D-V = ((1 + z)(2)D(A)(2)cz/H(z))(1/3) relative to the acoustic scale. We find r(s)/D-V(z = 0.278) = 0.1389 +/- 0.0043. This result is in excellent agreement with Percival et al., who examine roughly the same data set, but use the power spectrum. Comparison with other determinations in the literature are also in very good agreement. The signal of the full sample at 125 h(-1) Mpc < s < 200 h(-1) Mpc tends to be high relative to theoretical expectations; this slight deviation can probably be attributed to sample variance. We have tested our results against a battery of possible systematic effects, finding all effects are smaller than our estimated sample variance.

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