zobov: a parameter-free void-finding algorithm

By Mark Neyrinck. 2007

302 citations recorded by the source corpus.

zobov (ZOnes Bordering On Voidness) is an algorithm that finds density depressions in a set of points, without any free parameters, or assumptions about shape. It uses the Voronoi tessellation to estimate densities, which it uses to find both voids and subvoids. It also measures probabilities that each void or subvoid arises from Poisson fluctuations. This paper describes the zobov algorithm, and the results from its application to the dark matter particles in a region of the Millennium simulation. Additionally, the paper points out an interesting high-density peak in the probability distribution of dark matter particle densities.

Subfields: Astronomy and Astrophysics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/cfb2b0cfb8906c3fe4fb9f873058eca240165e85

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Citations in the corpus

Tracing the dark matter sheet in phase space (2011, background): “Configuration space density estimators also play a particularly important role when studying the topology and character of the cosmic web (e.g Schaap & van de Weygaert 2000; Pelupessy et al. 2003; Aragón-Calvo et al. 2007; Colberg et al. 2008; Neyrinck 2008).”
Tracing the cosmic web (2017, methodology): “A typical example involves the delineation of underdense void basins in the large scale mass distribution by means of the Watershed Transform, in the form of the Watershed Void Finder (Platen et al. 2007) and ZOBOV (Neyrinck 2008).”
A Dynamical Classification of the Cosmic Web (2008, unknown): “41 35 v1 [ as tr oph ] 2 4 Se 2005; Gottlöber et al. 2003; Arbabi-Bidgoli & Müller 2002; Neyrinck 2008; Platen et al. 2007; Plionis & Basilakos 2002; Shandarin et al. 2006).”
Cosmic Voids in Sloan Digital Sky Survey Data Release 7 (2011, methodology): “For the purpose of finding voids in redshift survey observations, methods that are applicable to the distribution of galaxies include Kauffmann & Fairall (1991); El-Ad & Piran (1997); Aikio & Maehoenen (1998); Hoyle & Vogeley (2002); Neyrinck (2008); Aragon-Calvo et al. (2010).”
The persistent cosmic web and its filamentary structure II: Illustrations (2010, methodology): “…(Stoica et al. 2005; Novikov, Colombi & Doré 2006; Hahn et al. 2007; Platen, van de Weygaert & Jones 2007; Stoica, Martı́nez & Saar 2007, 2010; Neyrinck 2008; Sousbie et al. 2008a,b; Forero-Romero et al. 2009; Sousbie, Colombi & Pichon 2009; Aragón-Calvo et al. 2010a,b; Paper I), relying…”
An Imprint of Superstructures on the Microwave Background due to the Integrated Sachs-Wolfe Effect (2008, methodology): “To find supervoids in the galaxy sample, we used the parameter-free, publicly available ZOBOV (ZOnes Bordering On Voidness; Neyrinck 2008) algorithm.”
The persistent cosmic web and its filamentary structure I: Theory and implementation (2010, methodology): “(9) A relatively similar approach was undertaken in a code named ZOBOV (Neyrinck 2008) to measure the significance of cosmological voids.”