A reconstruction of the initial conditions of the Universe by optimal mass transportation

Reconstructing the density fluctuations in the early Universe that evolved into the distribution of galaxies we see today is a challenge of modern cosmology [ref.]. An accurate reconstruction would allow us to test cosmological models by simulating the evolution starting from the reconstructed state...

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Veröffentlicht in:arXiv.org 2002-05
Hauptverfasser: Frisch, Uriel, Matarrese, Sabino, Mohayaee, Roya, Sobolevski, Andrei
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Matarrese, Sabino
Mohayaee, Roya
Sobolevski, Andrei
description Reconstructing the density fluctuations in the early Universe that evolved into the distribution of galaxies we see today is a challenge of modern cosmology [ref.]. An accurate reconstruction would allow us to test cosmological models by simulating the evolution starting from the reconstructed state and comparing it to the observations. Several reconstruction techniques have been proposed [8 refs.], but they all suffer from lack of uniqueness because the velocities of galaxies are usually not known. Here we show that reconstruction can be reduced to a well-determined problem of optimisation, and present a specific algorithm that provides excellent agreement when tested against data from N-body simulations. By applying our algorithm to the new redshift surveys now under way [ref.], we will be able to recover reliably the properties of the primeval fluctuation field of the local Universe and to determine accurately the peculiar velocities (deviations from the Hubble expansion) and the true positions of many more galaxies than is feasible by any other method. A version of the paper with higher-quality figures is available at http://www.obs-nice.fr/etc7/nature.pdf
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subjects Algorithms
Astronomical models
Computer simulation
Cosmology
Galactic evolution
Galaxies
Galaxy distribution
Initial conditions
Optimization
Reconstruction
Red shift
Universe
Variations
title A reconstruction of the initial conditions of the Universe by optimal mass transportation
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