Very large scale correlations in the galaxy distribution
Francesco Sylos Labini

TL;DR
This study measures galaxy correlations in the Sloan Digital Sky Survey, revealing large-scale structures and correlations extending beyond standard LCDM model predictions, with implications for understanding galaxy distribution.
Contribution
It provides the first detailed analysis of galaxy count moments across multiple scales, highlighting discrepancies with LCDM predictions and emphasizing the presence of large-scale correlations.
Findings
Galaxy counts grow as a power-law with different exponents at different scales.
Systematic finite size effects are due to long-range galaxy correlations.
Observed correlations exceed those predicted by the standard LCDM model.
Abstract
We characterize galaxy correlations in the Sloan Digital Sky Survey by measuring several moments of galaxy counts in spheres. We firstly find that the average counts grows as a power-law function of the distance with an exponent D= 2.1+- 0.05 for r in [0.5,20] Mpc/h and D = 2.8+-0.05 for r in [30,150] Mpc/h. In order to estimate the systematic errors in these measurements we consider the counts variance finding that it shows systematic finite size effects which depend on the samples sizes. We clarify, by making specific tests, that these are due to galaxy long-range correlations extending up to the largest scales of the sample. The analysis of mock galaxy catalogs, generated from cosmological N-body simulations of the standard LCDM model, shows that for r<20 Mpc/h the counts exponent is D~2.0, weakly dependent on galaxy luminosity, while D=3 at larger scales. In addition, contrary to…
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