Bayesian Cosmic Web Reconstruction: BARCODE for Clusters

Abstract

We describe the Bayesian BARCODE formalism that has been designed towards the reconstruction of the Cosmic Web in a given volume on the basis of the sampled galaxy cluster distribution. Based on the realization that the massive compact clusters are responsible for the major share of the large scale tidal force field shaping the anisotropic and in particular filamentary features in the Cosmic Web. Given the nonlinearity of the constraints imposed by the cluster configurations, we resort to a state-of-the-art constrained reconstruction technique to find a proper statistically sampled realization of the original initial density and velocity field in the same cosmic region. Ultimately, the subsequent gravitational evolution of these initial conditions towards the implied Cosmic Web configuration can be followed on the basis of a proper analytical model or an N-body computer simulation. The BARCODE formalism includes an implicit treatment for redshift space distortions. This enables a direct reconstruction on the basis of observational data, without the need for a correction of redshift space artifacts. In this contribution we provide a general overview of the the Cosmic Web connection with clusters and a description of the Bayesian BARCODE formalism. We conclude with a presentation of its successful workings with respect to test runs based on a simulated large scale matter distribution, in physical space as well as in redshift space.

18 pages, 8 figures, Proceedings of IAU Symposium 308 "The Zeldovich Universe: Genesis and Growth of the Cosmic Web", 23-28 June 2014, Tallinn, Estonia

References in corpus (18)

• Simulating the joint evolution of quasars, galaxies and their large-scale distribution
• The 3D power spectrum of galaxies from the SDSS
• How Filaments are Woven into the Cosmic Web
• The 2MASS Redshift Survey - Description and Data Release
• Evolution of the cosmic web
• The VIMOS Public Extragalactic Redshift Survey (VIPERS). An unprecedented view of galaxies and large-scale structure at 0.5<z<1.2
• Bayesian physical reconstruction of initial conditions from large scale structure surveys
• Wiener Reconstruction of The Large Scale Structure
• Inter-cluster filaments in a $\Lambda$CDM Universe
• Constraining Peaks in Gaussian Primordial Density Fields: an Application of the Hoffman-Ribak Method
• A filament of dark matter between two clusters of galaxies
• Bayesian reconstruction of the cosmological large-scale structure: methodology, inverse algorithms and numerical optimization
• Fast Hamiltonian sampling for large scale structure inference
• Signal-to-Noise Eigenmode Analysis of the Two-Year COBE Maps
• The Peaks Formalism and the Formation of Cold Dark Matter Haloes
• Simulating Structure Formation of the Local Universe
• Dark matter voids in the SDSS galaxy survey
• Bayesian large-scale structure inference and cosmic web analysis

Cited by in corpus (6)

• The Cosmic Ballet: spin and shape alignments of haloes in the cosmic web
• T-ReX: a graph-based filament detection method
• Bayesian cosmic density field inference from redshift space dark matter maps
• Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra
• The four cosmic tidal web elements from the $\beta$-skeleton
• Cosmic Web & Caustic Skeleton: non-linear Constrained Realizations -- 2D case studies