A Short Review on Clustering Dark Energy
We review dark energy models that can present non-negligible fluctuations on scales smaller than Hubble radius. Both linear and nonlinear evolutions of dark energy fluctuations are discussed. The linear evolution has a well-established framework, based on linear perturbation theory in General Relati...
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Format: | Article |
Language: | English |
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MDPI AG
2021-12-01
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Series: | Universe |
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Online Access: | https://www.mdpi.com/2218-1997/8/1/22 |
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author | Ronaldo C. Batista |
author_facet | Ronaldo C. Batista |
author_sort | Ronaldo C. Batista |
collection | DOAJ |
description | We review dark energy models that can present non-negligible fluctuations on scales smaller than Hubble radius. Both linear and nonlinear evolutions of dark energy fluctuations are discussed. The linear evolution has a well-established framework, based on linear perturbation theory in General Relativity, and is well studied and implemented in numerical codes. We highlight the main results from linear theory to explain how dark energy perturbations become important on the scales of interest for structure formation. Next, we review some attempts to understand the impact of clustering dark energy models in the nonlinear regime, usually based on generalizations of the Spherical Collapse Model. We critically discuss the proposed generalizations of the Spherical Collapse Model that can treat clustering dark energy models and their shortcomings. Proposed implementations of clustering dark energy models in halo mass functions are reviewed. We also discuss some recent numerical simulations capable of treating dark energy fluctuations. Finally, we summarize the observational predictions based on these models. |
first_indexed | 2024-03-10T00:24:14Z |
format | Article |
id | doaj.art-e41655f37cdf47ab88a786d02fb0e6a7 |
institution | Directory Open Access Journal |
issn | 2218-1997 |
language | English |
last_indexed | 2024-03-10T00:24:14Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Universe |
spelling | doaj.art-e41655f37cdf47ab88a786d02fb0e6a72023-11-23T15:37:04ZengMDPI AGUniverse2218-19972021-12-01812210.3390/universe8010022A Short Review on Clustering Dark EnergyRonaldo C. Batista0Escola de Ciências e Tecnologia, Universidade Federal do Rio Grande do Norte, Natal 59078-970, RN, BrazilWe review dark energy models that can present non-negligible fluctuations on scales smaller than Hubble radius. Both linear and nonlinear evolutions of dark energy fluctuations are discussed. The linear evolution has a well-established framework, based on linear perturbation theory in General Relativity, and is well studied and implemented in numerical codes. We highlight the main results from linear theory to explain how dark energy perturbations become important on the scales of interest for structure formation. Next, we review some attempts to understand the impact of clustering dark energy models in the nonlinear regime, usually based on generalizations of the Spherical Collapse Model. We critically discuss the proposed generalizations of the Spherical Collapse Model that can treat clustering dark energy models and their shortcomings. Proposed implementations of clustering dark energy models in halo mass functions are reviewed. We also discuss some recent numerical simulations capable of treating dark energy fluctuations. Finally, we summarize the observational predictions based on these models.https://www.mdpi.com/2218-1997/8/1/22cosmologydark energystructure formation |
spellingShingle | Ronaldo C. Batista A Short Review on Clustering Dark Energy Universe cosmology dark energy structure formation |
title | A Short Review on Clustering Dark Energy |
title_full | A Short Review on Clustering Dark Energy |
title_fullStr | A Short Review on Clustering Dark Energy |
title_full_unstemmed | A Short Review on Clustering Dark Energy |
title_short | A Short Review on Clustering Dark Energy |
title_sort | short review on clustering dark energy |
topic | cosmology dark energy structure formation |
url | https://www.mdpi.com/2218-1997/8/1/22 |
work_keys_str_mv | AT ronaldocbatista ashortreviewonclusteringdarkenergy AT ronaldocbatista shortreviewonclusteringdarkenergy |