Partitioning the universe into gravitational basins using the cosmic velocity field

Abstract

This letter presents a new approach using the cosmic peculiar velocity field to characterize the morphology and size of large scale structures in the local Universe. The algorithm developed uses the three-dimensional peculiar velocity field to compute flow lines, or streamlines. The local Universe is then partitioned into volumes corresponding to gravitational basins, also called watersheds, among the different end-points of the velocity flow lines. This new methodology is first tested on numerical cosmological simulations, used as benchmark for the method, and then applied to the {\it Cosmic-Flows} project observational data in order to to pay particular attention to the nearby superclusters including ours. More extensive tests on both simulated and observational data will be discussed in an accompanying paper.

arXiv comment6 pages, 4 figures, accepted in MNRAS

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Cited by in corpus (15)

• The Extragalactic Distance Database: The Color-Magnitude Diagrams and Tip of the Red Giant Branch Distances Catalog
• Multiscale cosmic web detachments, connectivity, and preprocessing in the supercluster SClA2142 cocoon
• Identification of filamentary structures in the environment of superclusters of galaxies in the Local Universe
• An effective description of Laniakea: impact on cosmology and the local determination of the Hubble constant
• Cosmicflows-3: The South Pole Wall
• COWS: A filament finder for Hessian cosmic web identifiers
• Dynamic cosmography of the local Universe: Laniakea and five more watershed superclusters
• Stellar Mass and Star Formation Rate within a Billion Light-Years
• The Cosmic Large-Scale Structure in X-rays (CLASSIX) cluster survey IV: Superclusters in the local Universe at z <= 0.03
• Evolution of superclusters and supercluster cocoons in various cosmologies
• Segmenting the Universe into dynamically coherent basins
• Quasi-spherical superclusters
• The SRG/eROSITA All-Sky Survey: Exploring halo assembly bias with X-ray selected superclusters
• Superclusters from velocity divergence fields
• Galaxy Superclusters and Their Complexes in the Cosmic Web