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Bayesian Cosmic Web Reconstruction: BARCODE for Clusters

Published online by Cambridge University Press:  12 October 2016

E. G. Patrick Bos ,
Rien van de Weygaert ,
Francisco Kitaura  and
Marius Cautun
E. G. Patrick Bos
Affiliation:
Kapteyn Astron. Inst., Univ. of Groningen, Groningen, the Netherlands, email: pbos@astro.rug.nl
Rien van de Weygaert
Affiliation:
Kapteyn Astron. Inst., Univ. of Groningen, Groningen, the Netherlands, email: pbos@astro.rug.nl
Francisco Kitaura
Affiliation:
Leibniz-Inst.für Astrophysik Potsdam (AIP), An der Sternwarte 16, 14482 Potsdam, DE
Marius Cautun
Affiliation:
Inst. for Computational Cosmology, Univ. of Durham, Durham DH1 3LE, United Kingdom
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Abstract

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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.

Keywords

large-scale structure of universeclustersstatistical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , Symposium S308: The Zeldovich Universe: Genesis and Growth of the Cosmic Web , June 2014 , pp. 271 - 288
Copyright
Copyright © International Astronomical Union 2016 

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