Constraining cosmological parameters using void statistics from the SDSS survey
Elena Fern\'andez-Garc\'ia, Juan E. Betancort-Rijo, Francisco Prada,, Tomoaki Ishiyama, and Anatoly Klypin

TL;DR
This paper uses void statistics from SDSS data and simulations to constrain key cosmological parameters, demonstrating the potential of voids as complementary probes to traditional methods.
Contribution
It introduces a theoretical framework for void analysis that successfully constrains cosmological parameters from SDSS data and combines these with weak lensing data for improved precision.
Findings
Constraints on $\sigma_8$, $\Omega_{m}$, and H$_0$ from SDSS voids.
Combined SDSS and weak lensing data reduce uncertainties significantly.
Void statistics complement weak lensing in cosmological parameter estimation.
Abstract
We identify voids as maximal non-overlapping spheres within the haloes of the Uchuu simulation and three smaller halo simulation boxes with smaller volume and different values, and galaxies with redshift in the range and absolute magnitude in the band of 32 Uchuu-SDSS simulated lightcones the seventh release of \textit{The Sloan Digital Sky Survey} (SDSS DR7) survey. We compute the Void Probability Function and the abundance of voids larger than predicted by the theoretical framework used in this work and we check that it predicts successfully both void functions for the halo simulation boxes. Next, we asses the potential of this theoretical framework to constrain cosmological parameters using Uchuu-SDSS void statistics, and we calculate the confidence levels using Monte Carlo Markov Chain techniques to infer the values of ,…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Scientific Research and Discoveries
