Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey

Abstract

Recent application of the Bayesian algorithm BORG to the Sloan Digital Sky Survey (SDSS) main sample galaxies resulted in the physical inference of the formation history of the observed large-scale structure from its origin to the present epoch. In this work, we use these inferences as inputs for a detailed probabilistic cosmic web-type analysis. To do so, we generate a large set of data-constrained realizations of the large-scale structure using a fast, fully non-linear gravitational model. We then perform a dynamic classification of the cosmic web into four distinct components (voids, sheets, filaments, and clusters) on the basis of the tidal field. Our inference framework automatically and self-consistently propagates typical observational uncertainties to web-type classification. As a result, this study produces accurate cosmographic classification of large-scale structure elements in the SDSS volume. By also providing the history of these structure maps, the approach allows an analysis of the origin and growth of the early traces of the cosmic web present in the initial density field and of the evolution of global quantities such as the volume and mass filling fractions of different structures. For the problem of web-type classification, the results described in this work constitute the first connection between theory and observations at non-linear scales including a physical model of structure formation and the demonstrated capability of uncertainty quantification. A connection between cosmology and information theory using real data also naturally emerges from our probabilistic approach. Our results constitute quantitative chrono-cosmography of the complex web-like patterns underlying the observed galaxy distribution.

19 pages, 9 figures, 7 tables, matches JCAP published version

References in corpus (22)

• Properties of galaxies reproduced by a hydrodynamic simulation
• Properties of Dark Matter Haloes in Clusters, Filaments, Sheets and Voids
• ZOBOV: a parameter-free void-finding algorithm
• The Evolution of Dark Matter Halo Properties in Clusters, Filaments, Sheets and Voids
• The Aspen--Amsterdam Void Finder Comparison Project
• The spin and orientation of dark matter halos within cosmic filaments
• Bayesian reconstruction of the cosmological large-scale structure: methodology, inverse algorithms and numerical optimization
• The three dimensional skeleton: tracing the filamentary structure of the universe
• Angular momentum-Large-scale structure alignments in LCDM models and the SDSS
• The 2dF Galaxy Redshift Survey: Final Data Release
• Intrinsic alignment of simulated galaxies in the cosmic web: implications for weak lensing surveys
• The Influence of Large-Scale Structure on Halo Shapes and Alignments
• Mergers drive spin swings along the cosmic web
• On the inadequacy of N-point correlation functions to describe nonlinear cosmological fields: explicit examples and connection to simulations
• Quantifying distortions of the Lagrangian dark-matter mesh in cosmology
• Dark matter voids in the SDSS galaxy survey
• Matched filter optimization of kSZ measurements with a reconstructed cosmological flow field
• Cosmic voids detection without density measurements
• Information escaping the correlation hierarchy of the convergence field in the study of cosmological parameters
• The Variation of Galaxy Morphological Type with the Shear of Environment
• Connecting the Physical Properties of Galaxies with the Overdensity and Tidal Shear of the Large-Scale Environment
• On the Tidal Dependence of Galaxy Properties

Cited by in corpus (23)

• Cosmic Web of Galaxies in the COSMOS Field: Public Catalog and Different Quenching for Centrals and Satellites
• Extensions to models of the galaxy-halo connection
• Caught in the cosmic web: Environmental effect on halo concentrations, shape, and spin
• sCOLA: The N-body COLA Method Extended to the Spatial Domain
• Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators
• Joint velocity and density reconstruction of the Universe with nonlinear differentiable forward modeling
• How to Build a Catalogue of Linearly-Evolving Cosmic Voids
• Luminous giants populate the dense Cosmic Web: The radio luminosity-environmental density relation for radio galaxies in action
• Field-Based Physical Inference From Peculiar Velocity Tracers
• Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
• An intergalactic medium temperature from a giant radio galaxy
• MUSCLE-UPS: Improved Approximations of the Matter Field with the Extended Press-Schechter Formalism and Lagrangian Perturbation Theory
• Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra
• Beyond the Lognormal Approximation: a General Simulation Scheme
• Cosmic Web & Caustic Skeleton: non-linear Constrained Realizations -- 2D case studies
• Filamentary Baryons and Where to Find Them: A forecast of synchrotron radiation from merger and accretion shocks in the local Cosmic Web
• ScamPy -- A sub-halo clustering & abundance matching based Python interface for painting galaxies on the dark matter halo/sub-halo hierarchy
• COmoving Computer Acceleration (COCA): $N$-body simulations in an emulated frame of reference
• Learning the Universe: Learning to Optimize Cosmic Initial Conditions with Non-Differentiable Structure Formation Models
• Bending the web: exploring the impact of modified gravity on the density field and halo properties within the cosmic web
• Tracing the environmental history of observed galaxies via extended fast action minimization method
• The Manticore Project II: Bayesian digital twins of cosmic structure across the SDSS and BOSS volumes
• Diagnosing Systematic Effects Using the Inferred Initial Power Spectrum