We discuss various applications of
vide, the Void IDentification and Examination toolkit, an
open-source Python/C++ code for finding cosmic voids in galaxy redshift surveys
and $N$-body simulations.
Based on a substantially enhanced version of ZOBOV, vide not only finds voids, but also
summarizes their properties, extracts statistical
information, and provides
a Python-based platform for more detailed analysis, such as
manipulating void catalogs and particle members, filtering, plotting,
computing clustering statistics, stacking, comparing catalogs, and
fitting density profiles.
vide also provides significant additional functionality for
pre-processing inputs: for example, vide can work with volume- or
magnitude-limited galaxy samples with arbitrary survey geometries,
matter particles or halo catalogs in a variety of common formats.
It can also randomly subsample inputs
and includes a Halo Occupation Distribution model for
constructing mock galaxy populations.
vide has been used for a wide variety of applications, from
discovering a universal density profile to estimating
primordial magnetic fields, and
is publicly available at