On the fairness of the main galaxy sample of SDSS
Kelai Meng, Bin Ma, Jun Pan, Longlong Feng

TL;DR
This study assesses the fairness of SDSS galaxy samples by analyzing various clustering statistics across different data releases and luminosity bins, revealing inconsistencies especially in faint galaxy samples and emphasizing cautious interpretation.
Contribution
It provides a comprehensive comparison of galaxy clustering statistics across SDSS data releases, highlighting potential biases in faint galaxy samples and the importance of sample selection.
Findings
$\xi(s)$ is robust for flux-limited samples with increased sky coverage.
Deviations in $\xi(s)$ and $\zeta_0$ increase for faint, volume-limited samples at large scales.
Significant differences in $w_p$ and $\sigma_{12}$ for faint samples in DR7 compared to earlier releases.
Abstract
Flux-limited and volume-limited galaxy samples are constructed from SDSS data releases DR4, DR6 and DR7 for statistical analysis. The two-point correlation functions , monopole of three-point correlation functions , projected two-point correlation function and pairwise velocity dispersion are measured to test if galaxy samples are fair for these statistics. We find that with increment of sky coverage of SDSS, of flux-limited sample is extremely robust and insensitive to local structures at low redshift. But for volume-limited samples fainter than at large scales , deviation of and of DR7 to those of DR4 and DR6 increases with larger absolute magnitude. In the weakly nonlinear regime, there is no agreement between of different data releases in all luminosity bins. Furthermore, of…
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