Testing the coincidence problem with strong gravitational lens, Type Ia supernovae and Hubble parameter observational data
| Autor: | Diao, Jing-Wang, Pan, Yu, Xu, Wenxiao |
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| Rok vydání: | 2022 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1088/1674-4527/ac977f |
| Popis: | 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 ($\rho_x\varpropto\rho_m a^{\xi}$). By combining these three kinds of data (Union2.1+SGL+$H(z)$), we get the parameter value at the confidence interval of $2\sigma$, $\Omega_{X,0} = 0.69\pm0.34$, $\omega_x = -1.24\pm0.61$, $\xi = 3.8\pm3.9$ and $H_0 = 70.22\pm0.86$ kms$^{-1}$Mpc$^{-1}$. According to our results, we find that the $\Lambda$CDM 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 $\Omega_X$ and $\Omega_m$ have the same order of magnitude in $0 Comment: Accepted for publication in Research in Astronomy and Astrophysics |
| Databáze: | arXiv |
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