Published December 3, 2020 | Version v1
Journal article

Non-linear spherical collapse in tachyon models and a comparison of collapse in tachyon and quintessence models of dark energy

  • 1. Dept. of Physical Sciences, IISER Mohali, Sector 81, SAS Nagar, Punjab 14036 India (India)

Description

We study evolution of perturbations in dark matter and dark energy for spherical collapse using a completely self consistent, relativistic approach. We study tachyon models of dark energy using the approach outlined in Rajvanshi and Bagla (2018). We work with models that are allowed by current observations. We find that as with quintessence models allowed by observations, dark energy perturbations do not affect evolution of perturbations in dark matter in a significant manner. Perturbations in dark energy remain small for such models. We then take two different Lagrangians for dark energy: tachyon and quintessence models, reconstruct potentials to have same expansion history and then compare if two can be distinguished in the nonlinear regime. Any variations we find are only due to a different Lagrangian density, and allow a comparison of different classes of models in a fair manner. We find that dark matter perturbations carry no imprint of the class of dark energy models for the same expansion history: this is significant in that we can work with any convenient model to study clustering of dark matter. We find that the evolution of dark energy perturbations carries an imprint of the class of models and dark energy perturbations grow differently in tachyon models and quintessence models for the same expansion history. However, the difference between these diminishes for (1 + w) ≪ 1 and hence prospects for differentiating between models using characteristics of perturbations are limited in our Universe. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-6382/abbb63

Additional details

Identifiers

Publishing Information

Journal Title
Classical and Quantum Gravity
Journal Volume
37
Journal Issue
23
Journal Page Range
[16 p.]
ISSN
0264-9381
CODEN
CQGRDG