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Cosmology with void-galaxy correlations.

Nico Hamaus1, Benjamin D Wandelt1, P M Sutter2

  • 1Institut d'Astrophysique de Paris, UMR 7095, CNRS - Université Pierre et Marie Curie (Univ Paris 06), 75014 Paris, France and Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.

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Summary
This summary is machine-generated.

We introduce a new method using cosmic voids to calibrate galaxy bias, improving cosmological inference. This approach compares galaxy clustering in dense regions to underdense regions, offering a novel cosmological ruler.

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Area of Science:

  • Cosmology
  • Astrophysics
  • Large-Scale Structure

Background:

  • Galaxy bias, the relationship between galaxy distribution and dark matter, hinders cosmological inference.
  • Traditional methods focus on high-density regions, overlooking underdense cosmic voids.

Purpose of the Study:

  • To calibrate galaxy bias using a novel relative measurement comparing dense and underdense regions.
  • To utilize cosmic voids as a cosmological ruler for improved large-scale structure analysis.

Main Methods:

  • Cross-correlating galaxies with cosmic voids using realistic mock catalogs.
  • Analyzing the clustering of voids and their relation to mass compensation.
  • Investigating the impact of volume-exclusion on void spatial distribution.

Main Results:

  • Cross-correlating galaxies and voids enables calibration of galaxy bias.
  • Cosmic voids offer a geometric observable for a static cosmological ruler.
  • Void clustering is linked to mass compensation, with volume-exclusion reducing stochasticity.
  • Galaxy distribution within voids shows strong agreement with void mass-density profiles.

Conclusions:

  • The galaxy-void cross-correlation method provides a powerful tool for cosmological inference.
  • This technique calibrates galaxy bias and establishes voids as a cosmological ruler.
  • Understanding galaxy distribution in voids refines models of large-scale structure.