Bayesian inference of the initial conditions from large-scale structure surveys
Abstract
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.
Keywords
Cite
@article{arxiv.1410.2271,
title = {Bayesian inference of the initial conditions from large-scale structure surveys},
author = {Florent Leclercq},
journal= {arXiv preprint arXiv:1410.2271},
year = {2016}
}
Comments
4 pages, 3 figures. Proceedings of IAU Symposium 308 "The Zeldovich Universe: Genesis and Growth of the Cosmic Web", Tallinn, Estonia, June 23-28, 2014 (eds R. van de Weygaert, S. Shandarin, E. Saar, J. Einasto). Draws from arXiv:1409.6308. arXiv admin note: substantial text overlap with arXiv:1410.1546