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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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
10 November 2011
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| In: |
Monthly notices of the Royal Astronomical Society
Year: 2011, Volume: 418, Issue: 1, Pages: 214-229 |
| ISSN: | 1365-2966 |
| DOI: | 10.1111/j.1365-2966.2011.19477.x |
| Online Access: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1111/j.1365-2966.2011.19477.x
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| Author Notes: | Marco Baldi, Valeria Pettorino, Luca Amendola and Christof Wetterich |
| Summary: | 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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| Item Description: | Gesehen am 13.11.2017 |
| Physical Description: | Online Resource |
| ISSN: | 1365-2966 |
| DOI: | 10.1111/j.1365-2966.2011.19477.x |