Issue |
A&A
Volume 421, Number 1, July I 2004
|
|
---|---|---|
Page(s) | 71 - 81 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361:20041090 | |
Published online | 11 June 2004 |
On the spherical collapse model in dark energy cosmologies
Astrophysics, University of Oxford, Keble Road, OX1 3RH, UK e-mail: mota@astro.ox.ac.uk; cvdb@astro.ox.ac.uk
Corresponding author: C. van de Bruck, cvdb@astro.ox.ac.uk
Received:
23
January
2004
Accepted:
30
March
2004
We study the spherical collapse model in dark energy cosmologies, in which dark energy is modelled as a minimally coupled scalar field. We first follow the standard assumption that dark energy does not cluster on the scales of interest. Investigating four different popular potentials in detail, we show that the predictions of the spherical collapse model depend on the potential used. We also investigate the dependence on the initial conditions. Secondly, we investigate in how far perturbations in the quintessence field affect the predictions of the spherical collapse model. In doing so, we assume that the field collapses along with the dark matter. Although the field is still subdominant at the time of virialisation, the predictions are different from the case of a homogeneous dark energy component. This will in particular be true if the field is non-minimally coupled. We conclude that a better understanding of the evolution of dark energy in the highly non-linear regime is needed in order to make predictions using the spherical collapse model in models with dark energy.
Key words: cosmology: theory / cosmology: large-scale structure of Universe / cosmology: miscellaneous
© ESO, 2004
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.