Oscillating non-linear large-scale structures in growing neutrino quintessence

Growing neutrino quintessence describes a form of dynamical dark energy that could explain why dark energy dominates the universe only in recent cosmological times. This scenario predicts the formation of large-scale neutrino lumps which could allow for observational tests. We perform for the first...

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Hauptverfasser: Baldi, Marco (VerfasserIn) , Amendola, Luca (VerfasserIn) , Wetterich, Christof (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 10 November 2011
In: Monthly notices of the Royal Astronomical Society
Year: 2011, Jahrgang: 418, Heft: 1, Pages: 214-229
ISSN:1365-2966
DOI:10.1111/j.1365-2966.2011.19477.x
Online-Zugang:Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1111/j.1365-2966.2011.19477.x
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Verfasserangaben:Marco Baldi, Valeria Pettorino, Luca Amendola and Christof Wetterich

MARC

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520 |a Growing neutrino quintessence describes a form of dynamical dark energy that could explain why dark energy dominates the universe only in recent cosmological times. This scenario predicts the formation of large-scale neutrino lumps which could allow for observational tests. We perform for the first time N-body simulations of the non-linear growth of structures for cold dark matter (CDM) and neutrino fluids in the context of growing neutrino cosmologies. Our analysis shows a pulsation increase and subsequent decrease in the neutrino density contrast. This could lead to interesting observational signatures, as an enhanced bulk flow in a situation where the DM density contrast differs only very mildly from the standard ΛCDM scenario. We also determine for the first time the statistical distribution of neutrino lumps as a function of mass at different redshifts. Such determination provides an essential ingredient for a realistic estimate of the observational signatures of growing neutrino cosmologies. Due to a breakdown of the non-relativistic Newtonian approximation, our results are limited to redshifts z≥ 1. 
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