The view from the boundary: a new void stacking method

TL;DR

This paper presents a novel boundary-based stacking method for voids that enhances weak lensing signals and reveals detailed density and velocity profiles, improving void analysis for cosmology.

Contribution

It introduces a boundary-focused stacking approach that significantly boosts lensing signals and provides new insights into void structure and dynamics.

Findings

Weak lensing signal doubles compared to spherical stacking

Steeper density profiles with a pronounced boundary ridge

Self-similar boundary density profiles independent of void size

Abstract

We introduce a new method for stacking voids and deriving their profile that greatly increases the potential of voids as a tool for precision cosmology. Given that voids are highly non-spherical and have most of their mass at their edge, voids are better described relative to their boundary rather than relative to their centre, as in the conventional spherical stacking approach. The boundary profile is obtained by computing the distance of each volume element from the void boundary. Voids can then be stacked and their profiles computed as a function of this boundary distance. This approach enhances the weak lensing signal of voids, both shear and convergence, by a factor of two when compared to the spherical stacking method. It also results in steeper void density profiles that are characterised by a very slow rise inside the void and a pronounced density ridge at the void boundary. The resulting boundary density profile is self-similar when rescaled by the thickness of the density ridge, implying that the average rescaled profile is independent of void size. The boundary velocity profile is characterized by outflows in the inner regions whose amplitude scales with void size, and by a strong inflow into the filaments and walls delimiting the void. This new picture enables a straightforward discrimination between collapsing and expanding voids both for individual objects as well as for stacked samples.