Cosmic Web Reconstruction through Density Ridges: Catalogue

Abstract

We construct a catalogue for filaments using a novel approach called SCMS (subspace constrained mean shift; Ozertem & Erdogmus 2011; Chen et al. 2015). SCMS is a gradient-based method that detects filaments through density ridges (smooth curves tracing high-density regions). A great advantage of SCMS is its uncertainty measure, which allows an evaluation of the errors for the detected filaments. To detect filaments, we use data from the Sloan Digital Sky Survey, which consist of three galaxy samples: the NYU main galaxy sample (MGS), the LOWZ sample and the CMASS sample. Each of the three dataset covers different redshift regions so that the combined sample allows detection of filaments up to z = 0.7. Our filament catalogue consists of a sequence of two-dimensional filament maps at different redshifts that provide several useful statistics on the evolution cosmic web. To construct the maps, we select spectroscopically confirmed galaxies within 0.050 < z < 0.700 and partition them into 130 bins. For each bin, we ignore the redshift, treating the galaxy observations as a 2-D data and detect filaments using SCMS. The filament catalogue consists of 130 individual 2-D filament maps, and each map comprises points on the detected filaments that describe the filamentary structures at a particular redshift. We also apply our filament catalogue to investigate galaxy luminosity and its relation with distance to filament. Using a volume-limited sample, we find strong evidence (6.1$\sigma$ - 12.3$\sigma$) that galaxies close to filaments are generally brighter than those at significant distance from filaments.

14 pages, 12 figures, 4 tables

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Cited by in corpus (39)

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• Characterising filaments in the SDSS volume from the galaxy distribution
• Magnetic field strength in cosmic web filaments
• Virgo Filaments I: Processing of gas in cosmological filaments around the Virgo cluster
• Density and temperature of cosmic-web filaments on scales of tens of megaparsecs
• Intrinsic alignments in redMaPPer clusters -- I. Central galaxy alignments and angular segregation of satellites
• Magnetic field evolution in cosmic filaments with LOFAR data
• Alignment between filaments and galaxy spins from the MaNGA integral-field survey
• Like a spider in its web: a study of the Large Scale Structure around the Coma cluster
• CHILES VI: HI and H$\alpha$ Observations for z < 0.1 Galaxies; Probing HI Spin Alignment with Filaments in the Cosmic Web
• Detecting Galaxy-Filament Alignments in the Sloan Digital Sky Survey III
• Revealing the Dark Threads of the Cosmic Web
• Virgo Filaments II: Catalog and First Results on the Effect of Filaments on galaxy properties
• Identification of filamentary structures in the environment of superclusters of galaxies in the Local Universe
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• On the Environments of Giant Radio Galaxies
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• A machine--vision method for automatic classification of stellar halo substructure
• Untangling cosmic magnetic fields: Faraday tomography at metre wavelengths with LOFAR
• Monte Carlo Physarum Machine: Characteristics of Pattern Formation in Continuous Stochastic Transport Networks
• Searching for the warm-hot intergalactic medium using XMM-Newton high-resolution X-ray spectra
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• Cosmic Filaments from Cosmic Strings
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• Continuous Filament Network of the Local Universe
• An Optimized Ly$\alpha$ Forest Inversion Tool Based on a Quantitative Comparison of Existing Reconstruction Methods
• Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data
• Where do X-ray low surface brightness clusters sit with respect to filaments?
• The Blooming Tree Algorithm at Work: Clusters, Filaments and Superclusters in the Field of A2029
• Posterior Contraction and Credible Sets for Filaments of Regression Functions
• A novel Cosmic Filament catalogue from SDSS data