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

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(ρx∝ρmaζ).By combining these...

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Published in:天文和天体物理学研究 2022, Vol.22 (11), p.216-224
Main Authors: Jingwang Diao, Yu Pan, Wenxiao Xu
Format: Article
Language:English
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Summary: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(ρx∝ρmaζ).By combining these three kinds of data(Union2.1+SGL+H(z)),we get the parameter value at the confidence interval of 2σ,Ωx,o=0.69±0.34,ωx=-1.24±0.61,ζ=3.8±3.9 and Ho=70.22±0.86 kms-1 Mpc-1.According to our results,we find that the ACDM 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 and Ωm have the same order of magnitude in 0＜z＜1.26.Finally,we obtain the transition redshift ZT=0.645.If the transition occurs in z＞0.645,it is necessary to introduce the dark energy interacting with dark matter.
ISSN:1674-4527