Page 1 of 1

VIDE: The Void IDentification and Examination toolkit

Posted: Wed Jul 30, 2014 6:07 am
by Ada Coda
VIDE: The Void IDentification and Examination toolkit

Abstract: 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.

Credit: Sutter, P. M.; Lavaux, Guilhem; Hamaus, Nico; Pisani, Alice; Wandelt, Benjamin D.; Warren, Michael S.; Villaescusa-Navarro, Francisco; Zivick, Paul; Mao, Qingqing; Thompson, Benjamin B.

Site: http://www.cosmicvoids.net
http://adsabs.harvard.edu/abs/2014arXiv1406.1191S

Bibcode: 2014ascl.soft07014S

ID: ascl:1407.014