Turnaround density as a probe of the cosmological constant

Abstract

Spherical collapse predicts that a single value of the turnaround density (average matter density within the scale on which a structure detaches from the Hubble flow) characterizes all cosmic structures at the same redshift. It has been recently shown by Korkidis et al. that this feature persists in complex non-spherical galaxy clusters identified in N-body simulations. Here we show that the low-redshift evolution of the turnaround density constrains the cosmological parameters, and that it can be used to derive a local constraint on ${\Omega }_{\Lambda }$ alone, independent of ${\Omega }_m$. The turnaround density thus provides a promising new way to exploit upcoming large cosmological datasets.

5 pages, 3 figures, submitted to A&AL

References in corpus (9)

• Large Magellanic Cloud Cepheid Standards Provide a 1% Foundation for the Determination of the Hubble Constant and Stronger Evidence for Physics Beyond LambdaCDM
• Spectra and Light Curves of Six Type Ia Supernovae at 0.511 < z < 1.12 and the Union2 Compilation
• The trouble with $H_0$
• Planck evidence for a closed Universe and a possible crisis for cosmology
• Rotation-Dependent Catastrophic Disruption of Gravitational Aggregates
• The virialized mass of dark matter haloes
• Early-type Host Galaxies of Type Ia Supernovae. II. Evidence for Luminosity Evolution in Supernova Cosmology
• Apparent cosmic acceleration from type Ia supernovae
• Evolution of spiral galaxies in modified gravity: II- Gas dynamics

Cited by in corpus (7)

• Cosmological implications of the anisotropy of ten galaxy cluster scaling relations
• Transition dynamics in the ${\Lambda }_{\mathrm{s}}$CDM model: Implications for bound cosmic structures
• Turnaround density evolution encodes cosmology in simulations
• Multiscale Cosmic Curvature: from Local Structures to Cosmology
• Mass scaling relations for dark halos from an analytic universal outer density profile
• Hubble Expansion Signature on Simulated Halo Density Profiles: A Path to Observing the Turnaround Radius
• Searching for a signature of turnaround in galaxy clusters with convolutional neural networks