English

Testing interacting dark matter and dark energy model with cosmological data

Cosmology and Nongalactic Astrophysics 2020-08-26 v3 General Relativity and Quantum Cosmology High Energy Physics - Theory

Abstract

We investigate the model of dark matter-dark energy (DM-DE) interaction with coupling strength proportional to the multiplication of dark sector densities with different power indices Q=γρcαρdβQ = \gamma \rho_{\rm c}^{\alpha} \rho_{\rm d}^{\beta}. We first investigate the modification of the cosmic expansion history, and then further develop the formalism to take into account the cosmological perturbations and dark matter temperature evolution. We then use the latest observational cosmology data, including cosmic microwave background (CMB) data, baryon acoustic oscillations (BAO) data, redshift-space distortion (RSD) data and Type Ia supernovae (SNe) data to constrain the model parameters. We find in the phantom region, a positive α\alpha is preferred by the data above 2σ2\, \sigma statistic significance. If we choose the power indices to be integers or half-integers for {\it plausible} physics of particle interaction, the allowed values within 1σ1\, \sigma confidence regions are α=0.5\alpha = 0.5 and β=0,0.5,1\beta = 0, 0.5, 1. The inclusion of BAO and RSD data from large-scale structure and SNe data improves the constraints significantly. Our model predicts lower values of f(z)σ8(z)f(z) \sigma_8(z) at z<1z<1 comparing to Λ\LambdaCDM model, which alleviates the tension of Λ\LambdaCDM with various RSD data from optical galaxy surveys. Overall, the DM-DE interaction model is consistent with the current observational data, especially providing a better fit to the RSD data.

Keywords

Cite

@article{arxiv.1911.04520,
  title  = {Testing interacting dark matter and dark energy model with cosmological data},
  author = {Gong Cheng and Yin-Zhe Ma and Fengquan Wu and Jiajun Zhang and Xuelei Chen},
  journal= {arXiv preprint arXiv:1911.04520},
  year   = {2020}
}

Comments

12 pages, 8 figures, PRD accepted

R2 v1 2026-06-23T12:12:14.342Z