Issue |
EPL
Volume 96, Number 5, December 2011
|
|
---|---|---|
Article Number | 59001 | |
Number of page(s) | 6 | |
Section | Geophysics, Astronomy and Astrophysics | |
DOI | https://doi.org/10.1209/0295-5075/96/59001 | |
Published online | 16 November 2011 |
Very large-scale correlations in the galaxy distribution
1
Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi Piazzale del Viminale 1, 00184 Rome, Italy, EU
2
Istituto dei Sistemi Complessi CNR - Via dei Taurini 19, 00185 Rome, Italy, EU
a
Francesco.SylosLabini@roma1.infn.it
Received:
6
September
2011
Accepted:
6
October
2011
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∊[0.5, 20] Mpc/h and D=2.8±0.05 for r∊[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 the 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 the galaxy luminosity, while D=3 at larger scales. In addition, contrary to the case of the observed galaxy samples, no systematic finite-size effects in the counts variance are found at large scales, a result that agrees with the absence of large-scale (r≈100 Mpc/h) correlations in the mock catalogs. We thus conclude that the observed galaxy distribution is characterized by correlations, fluctuations and hence structures, which are larger, both in amplitude and in spatial extension, than those predicted by the standard model LCDM of galaxy formation.
PACS: 98.80.-k – Cosmology / 05.40.-a – Fluctuation phenomena, random processes, noise, and Brownian motion / 02.50.-r – Probability theory, stochastic processes, and statistics
© EPLA, 2011
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.