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Testing the Coincidence Problem with Strong Gravitational Lens,Type Ia Supernovae and Hubble Parameter Observational Data
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作者 jingwang diao Yu Pan Wenxiao Xu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2022年第11期214-222,共9页
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 cosm... 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 2σ,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 theΛCDM 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. 展开更多
关键词 (cosmology:)cosmological parameters (cosmology:)dark energy cosmology:observations
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