https://doi.org/10.1140/epjc/s10052-022-10517-4
Regular Article - Theoretical Physics
Revisiting Chaplygin gas cosmologies with the recent observations of high-redshift quasars
1
Department of Astronomy, Beijing Normal University, 100875, Beijing, China
2
School of Physics and Optoelectronic, Yangtze University, 434023, Jingzhou, China
3
School of Physics and Technology, Wuhan University, 430072, Wuhan, China
Received:
15
March
2022
Accepted:
11
June
2022
Published online:
4
July
2022
In this paper, we use the latest observations of quasars covering the redshift range of 
to investigate a series of Chaplygin gas models as candidates for unified dark matter and dark energy. Based on different combinations of available standard candle and standard ruler data, we put constraints on the generalized Chaplygin gas (GCG), modified Chaplygin gas (MCG), new generalized Chaplygin gas (NGCG) and viscous generalized Chaplygin gas (VGCG) models. Moreover, we apply Jensen–Shannon divergence (JSD), statefinder diagnostics, and the deviance information criterion (DIC) to distinguish these CG models, based on the statistical results derived from Markov chain Monte Carlo method. The results show that (1) The standard ruler data could provide more stringent constraints on the cosmological parameters of different CG models considered in this analysis. Interestingly, the matter density parameter 
and Hubble constant 
derived from the available data are well consistent with those from the Planck 2018 results; (2) Based on the statistical criteria JSD, our findings demonstrate the well consistency between Chaplygin gas and the concordance 
CDM model. However, in the framework of statefinder diagnostics, the GCG and NGCG models cannot be distinguished from CDM, while MCG and VGCG models show significant deviation from CDM in the present epoch; (3) According to the the statistical criteria DIC, we show that the MCG and VGCG models have substantial observational support from high-redshift quasars, whereas the GCG and NGCG models miss out on the less observational support category but can not be ruled out.
© The Author(s) 2022
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Funded by SCOAP3
