Determination of the abundance of cosmic matter via the cell count moments of the galaxy distribution

TL;DR

This paper presents a novel cell count analysis method of galaxy distribution that extracts cosmological parameters without relying on standard candles, bias models, or redshift distortion modeling, using SDSS data.

Contribution

It introduces a new approach analyzing second-order moments of galaxy density to determine cosmic matter abundance independently of traditional calibration methods.

Findings

Estimated Omega_m with 11% relative error from SDSS data.

Method does not require galaxy bias or redshift distortion modeling.

Potential to detect new physics beyond standard cosmology.

Abstract

We demonstrate that accurate and precise cosmological information can be extracted from the cell count analysis of the 3D spatial clustering of galaxies once the second-order ratio between one- and two-point moments of the smoothed galaxy density distribution is analyzed. This probe does not require the calibration of any standard rod, the knowledge of the galaxy bias nor the modeling of galaxy redshift distortions. Using the spectroscopic Sloan Digital Sky Survey (SDSS) data release 7 (DR7) galaxy sample, no cosmic microwave background (CMB) information, weak (flat) priors on the value of the curvature of the universe (Omega_k) and the constant value of the dark energy equation of state (w), we estimate the abundance of matter (Omega_m) with a relative error of 11% (at 68% c.l.). The method may be instrumental in searching for evidences of new physics beyond the standard model of cosmology and in planning future missions such as BigBOSS or EUCLID.