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Inhomogeneous dark energy

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 17 Feb 2016Embargo end date: 01 Jan 2016Publisher:IOP PublishingJournal:Journal of Cosmology and Astroparticle Physics, volume 2,016, pages 40-40 (eissn: 1475-7516,

Authors: Ali H. Chamseddine; Ali H. Chamseddine; Viatcheslav Mukhanov;

doi: 10.1088/1475-7516/2016/02/040 , 10.48550/arxiv.1601.04941

arXiv: http://arxiv.org/abs/1601.04941

Inhomogeneous dark energy

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Abstract

We modify Einstein General Relativity by adding non-dynamical scalar fields to account simultaneously for both dark matter and dark energy. The dark energy in this case can be distributed in-homogeneously even within horizon scales. Its inhomogeneities can contribute to the late time integrated Sachs-Wolfe effect, possibly removing some of the low multipole anomalies in the temperature fluctuations of the CMB spectrum. The presence of the inhomogeneous dark matter also influences structure formation in the universe.

11 pages

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Keywords

High Energy Physics - Theory, Cosmology and Nongalactic Astrophysics (astro-ph.CO), High Energy Physics - Theory (hep-th), FOS: Physical sciences, General Relativity and Quantum Cosmology (gr-qc), General Relativity and Quantum Cosmology, Astrophysics - Cosmology and Nongalactic Astrophysics

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	17
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%