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Bayesian inference of the initial conditions from large-scale structure surveys

Published online by Cambridge University Press:  12 October 2016

Florent Leclercq*
Affiliation:
Institut d'Astrophysique de Paris (IAP), UMR 7095, CNRS - UPMC Université Paris 6, 98bis boulevard Arago, F-75014 Paris, France Institut Lagrange de Paris (ILP), Sorbonne Universités, 98bis boulevard Arago, F-75014 Paris, France École polytechnique ParisTech, Route de Saclay, F-91128 Palaiseau, France email: florent.leclercq@polytechnique.org
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Abstract

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Analysis of three-dimensional cosmological surveys has the potential to answer outstanding questions on the initial conditions from which structure appeared, and therefore on the very high energy physics at play in the early Universe. We report on recently proposed statistical data analysis methods designed to study the primordial large-scale structure via physical inference of the initial conditions in a fully Bayesian framework, and applications to the Sloan Digital Sky Survey data release 7. We illustrate how this approach led to a detailed characterization of the dynamic cosmic web underlying the observed galaxy distribution, based on the tidal environment.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2016 

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