How to Build a Catalogue of Linearly-Evolving Cosmic Voids
Stephen Stopyra, Hiranya V. Peiris, Andrew Pontzen

TL;DR
This paper compares traditional watershed voids with a new anti-halo based method, finding that removing small voids enhances linearity, thus improving their use as probes of early Universe physics.
Contribution
It introduces a novel anti-halo based void definition and assesses its linearity compared to watershed voids using the Zel'dovich approximation.
Findings
Anti-halos and watershed voids are non-linear below 5 Mpc/h.
Removing small voids increases the linearity of the void sample.
Both methods can produce highly linear void sets after filtering.
Abstract
Cosmic voids provide a powerful probe of the origin and evolution of structures in the Universe because their dynamics can remain near-linear to the present day. As a result they have the potential to connect large scale structure at late times to early-Universe physics. Existing "watershed"-based algorithms, however, define voids in terms of their morphological properties at low redshift. The degree to which the resulting regions exhibit linear dynamics is consequently uncertain, and there is no direct connection to their evolution from the initial density field. A recent void definition addresses these issues by considering "anti-halos". This approach consists of inverting the initial conditions of an -body simulation to swap overdensities and underdensities. After evolving the pair of initial conditions, anti-halos are defined by the particles within the inverted simulation that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
