2010
DOI: 10.1051/0004-6361/200912823
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Filaments in observed and mock galaxy catalogues

Abstract: Context. The main feature of the spatial large-scale galaxy distribution is an intricate network of galaxy filaments. Although many attempts have been made to quantify this network, there is no unique and satisfactory recipe for that yet. Aims. The present paper compares the filaments in the real data and in the numerical models, to see if our best models reproduce statistically the filamentary network of galaxies. Methods. We apply an object point process with interactions (the Bisous process) to trace and de… Show more

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Cited by 63 publications
(73 citation statements)
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References 44 publications
(60 reference statements)
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“…This algorithm provides a quantitative classification which agrees with the visual impression of the cosmic web and is based on a robust and well-defined mathematical scheme. A detailed description of the Bisous model is given in Stoica et al (2007Stoica et al ( , 2010 and Tempel et al (2014b); for convenience, a brief description is given below. The marked point process we propose for filament detection is different from the ones already used in cosmology.…”
Section: Bisous Model: Extracting Filaments From Galaxy Distributionmentioning
confidence: 99%
“…This algorithm provides a quantitative classification which agrees with the visual impression of the cosmic web and is based on a robust and well-defined mathematical scheme. A detailed description of the Bisous model is given in Stoica et al (2007Stoica et al ( , 2010 and Tempel et al (2014b); for convenience, a brief description is given below. The marked point process we propose for filament detection is different from the ones already used in cosmology.…”
Section: Bisous Model: Extracting Filaments From Galaxy Distributionmentioning
confidence: 99%
“…Stoica et al 2010;Bond et al 2010;Aragón-Calvo et al 2010). Many of the algorithms make use of the fact that filaments are the bridges that connect systems of galaxies (Pimbblet et al 2004;Pimbblet 2005;Colberg et al 2005;González & Padilla 2010;Smith et al 2012;Zhang et al 2013;Alpaslan et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…COSMIC WEB CLASSIFICATION SCHEME With the rich and complex of the cosmic web, there are numerous methods by which one can classify the elements of the cosmic web. These range from techniques utilizing minimal-spanning trees (Barrow et al 1985;Alpaslan et al 2014), the Candy model (Stoica et al 2005(Stoica et al , 2010, Morse theory-based 'skeleton' methods (Colombi et al 2000;Novikov et al 2006;Sousbie et al 2009;Sousbie 2011), tessellation methods (González & Padilla 2010), multi-scale morphological methods (Aragón-Calvo 6 http://tinyurl.com/lya-tomography-sim-data et al 2007Cautun et al 2013), ridge-finding (Chen et al 2015), and others; (see Cautun et al 2014, for a comprehensive summary).…”
Section: Simulationsmentioning
confidence: 99%