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[ascl:1407.014] VIDE: The Void IDentification and Examination toolkit

The Void IDentification and Examination toolkit (VIDE) identifies voids using a modified version of the parameter-free void finder ZOBOV (ascl:1304.005); a Voronoi tessellation of the tracer particles is used to estimate the density field followed by a watershed algorithm to group Voronoi cells into zones and subsequently voids. Output is a summary of void properties in plain ASCII; a Python API is provided for analysis tasks, including loading and manipulating void catalogs and particle members, filtering, plotting, computing clustering statistics, stacking, comparing catalogs, and fitting density profiles.

Code site:
https://bitbucket.org/cosmicvoids/vide_public
Described in:
https://ui.adsabs.harvard.edu/abs/2015A%26C.....9....1S
Bibcode:
2014ascl.soft07014S

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ascl:1407.014
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