The perspective of voids on rising cosmology tensions

Abstract

We investigate the main tensions within the current standard model of cosmology from the perspective of the main statistics of cosmic voids, using the final BOSS DR12 data set. For this purpose, we present the first estimate of the $S_8\equiv {\sigma }_8\sqrt{{\Omega }_{\mathrm{m}}/0.3}$ and $H_0$ parameters obtained from void number counts and shape distortions. To analyze void counts we relied on an extension of the popular volume-conserving model for the void size function, tailored to the application on data, including geometric and dynamic distortions. We calibrated the two nuisance parameters of this model with the official BOSS collaboration mock catalogs and propagated their uncertainty through the statistical analysis of the BOSS void number counts. The constraints from void shapes come from the study of the geometric distortions of the stacked void-galaxy cross-correlation function. In this work we focus our analysis on the ${\Omega }_{\mathrm{m}}$-${\sigma }_8$ and ${\Omega }_{\mathrm{m}}$-$H_0$ parameter planes and derive the marginalized constraints $S_8=0.813_{-0.068}^{+0.093}$ and $H_0=67.3_{-9.1}^{+10.0}\mathrm{km}{\mathrm{s}}^{-1}{\mathrm{Mpc}}^{-1}$, which are fully compatible with constraints from the literature. These results are expected to notably improve in precision when analyzed jointly with independent probes and will open a new viewing angle on the rising cosmological tensions in the near future.

8 pages, 5 figures, published in A&A

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• Weak-lensing tunnel voids in simulated light cones: A new pipeline to investigate modified gravity and massive neutrinos signatures
• The galaxy bias profile of cosmic voids
• Cosmological Inference with Cosmic Voids and Neural Network Emulators
• A spherical hydrodynamical model of cosmic voids in ΛCDM and beyond
• Cosmology with voids from the Nancy Grace Roman Space Telescope
• An Accelerating Flat FLRW Model with Observation Constraints and Dynamic $\Lambda$
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• Cosmology with Cosmic Voids
• AVISM: Algorithm for Void Identification in coSMology