A comparison of cosmological filaments catalogues
Autor: | Héctor J. Martínez, Luis Pereyra, Federico Stasyszyn, Agustín Rost |
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Rok vydání: | 2020 |
Předmět: |
Physics
Cosmology and Nongalactic Astrophysics (astro-ph.CO) STATISTICS [GALAXIES] FOS: Physical sciences Astronomy and Astrophysics purl.org/becyt/ford/1.3 [https] macromolecular substances Astrophysics::Cosmology and Extragalactic Astrophysics Astrophysics - Astrophysics of Galaxies Methods observational Quantitative Biology::Cell Behavior purl.org/becyt/ford/1 [https] Quantitative Biology::Subcellular Processes Space and Planetary Science Astrophysics of Galaxies (astro-ph.GA) OBSERVATIONAL [METHODS] OBSERVATIONS [COSMOLOGY] LARGE-SCALE STRUCTURE OF UNIVERSE Humanities Astrophysics::Galaxy Astrophysics Astrophysics - Cosmology and Nongalactic Astrophysics |
Zdroj: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET |
ISSN: | 1365-2966 0035-8711 |
Popis: | In this work we compare three catalogues of cosmological filaments identified in the Sloan Digital Sky Survey by means of different algorithms by Tempel et al., Pereyra et al., and Mart\'inez et al. We analyse how different identification techniques determine differences in the filament statistical properties: length, elongation, redshift distribution, and abundance. We find that the statistical properties of the filaments strongly depend on the identification algorithm. We use a volume limited sample of galaxies to characterise other properties of filaments such as: galaxy overdensity, luminosity function of galaxies, mean galaxy luminosity, filament luminosity, and the overdensity profile of galaxies around filaments. In general, we find that these properties primarily depended on filament length. Shorter filaments have larger overdensities, are more populated by red galaxies, and have better defined galaxy overdensity profiles, than longer filaments. Concluding that galaxies belonging to filaments have characteristic signatures depending on the identification algorithm used. Comment: 14 pages, 17 figures. Accepted for publication in MNRAS |
Databáze: | OpenAIRE |
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