English

Testing the coincidence problem with strong gravitational lens, Type Ia supernovae and Hubble parameter observational data

Cosmology and Nongalactic Astrophysics 2022-11-16 v1

Abstract

In this paper, we use three different kinds of observational data, including 130 strong gravitational lensing (SGL) systems, type Ia supernovae (SNeIa: Pantheon and Union2.1) and 31 Hubble parameter data points (H(z)H(z)) from cosmic chronometers to constrain the phenomenological model (ρxρmaξ\rho_x\varpropto\rho_m a^{\xi}). By combining these three kinds of data (Union2.1+SGL+H(z)H(z)), we get the parameter value at the confidence interval of 2σ2\sigma, ΩX,0=0.69±0.34\Omega_{X,0} = 0.69\pm0.34, ωx=1.24±0.61\omega_x = -1.24\pm0.61, ξ=3.8±3.9\xi = 3.8\pm3.9 and H0=70.22±0.86H_0 = 70.22\pm0.86 kms1^{-1}Mpc1^{-1}. According to our results, we find that the Λ\LambdaCDM model is still the model which is in best agreement with the observational data at present, and the coincidence problem is not alleviated. In addition, the ΩX\Omega_X and Ωm\Omega_m have the same order of magnitude in 0<z<1.260<z<1.26. At last, we obtain the transition redshift zT=0.645z_T=0.645. If the transition occurs in z>0.645z>0.645, it is necessary to introduce the dark energy interacting with dark matter.

Keywords

Cite

@article{arxiv.2209.13287,
  title  = {Testing the coincidence problem with strong gravitational lens, Type Ia supernovae and Hubble parameter observational data},
  author = {Jing-Wang Diao and Yu Pan and Wenxiao Xu},
  journal= {arXiv preprint arXiv:2209.13287},
  year   = {2022}
}

Comments

Accepted for publication in Research in Astronomy and Astrophysics