Testing the Coincidence Problem with Strong Gravitational Lens, Type Ia Supernovae and Hubble Parameter Observational Data

• Published in: Research in astronomy and astrophysics 2022-11, Vol.22 (11), p.115019
• Main Authors: Diao, Jingwang, Pan, Yu, Xu, Wenxiao
• Format: Article
• Language: English
• Subjects: (cosmology:) cosmological parameters; (cosmology:) dark energy; Confidence intervals; cosmology: observations; Dark energy; Dark matter; Data points; Gravitational lenses; Mathematical models; Measuring instruments; Parameters; Red shift; Supernovae
• ISSN: 1674-4527; 2397-6209
• DOI: 10.1088/1674-4527/ac977f

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 )) from cosmic chronometers to constrain the phenomenological model ( ρ x ∝ ρ m a ξ ). By combining these three kinds of data (Union2.1+SGL+ H ( z )), we get the parameter value at the confidence interval of 2 σ , Ω X ,0 = 0.69 ± 0.34, ω x = −1.24 ± 0.61, ξ = 3.8 ± 3.9 and H 0 = 70.22 ± 0.86 kms −1 Mpc −1 . According to our results, we find that the ΛCDM 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 Ω X and Ω m have the same order of magnitude in 0 < z < 1.26. Finally, we obtain the transition redshift z T = 0.645. If the transition occurs in z > 0.645, it is necessary to introduce the dark energy interacting with dark matter.