We use different combinations of data samples to investigate the new generalized Chaplygin gas (NGCG) model in the context of dark energy (DE) cosmology. Using the available cosmological data, we put constraints on the the free parameters of NGCG model based on the statistical Markov chain Monte Carlo method. We then find the best fit values of cosmological parameters and those confidence regions in NGCG cosmology. Our result for the matter density parameter calculated in NGCG model is in excellent agreement with that of the standard \(\Lambda \)CDM cosmology. We also find that the equation of state of DE of the model slightly favors the phantom regime. We show that the big tension between the low- and high-redshift observations appearing in \(\Lambda \)CDM universe to predict the Hubble constant \(H_0\) can be alleviated in NGCG model. However, from the statistical point of view, our results show that the standard \(\Lambda \)CDM model fits the observations better than the NGCG cosmology.

我们使用数据样本的不同组合在暗能量（DE）宇宙学背景下研究新的广义Chaplygin气体（NGCG）模型。利用可用的宇宙学数据，我们基于统计马尔可夫链蒙特卡罗方法对NGCG模型的自由参数施加了约束。然后，我们找到宇宙学参数和NGCG宇宙学中的那些置信区域的最佳拟合值。我们在NGCG模型中计算出的物质密度参数的结果与标准\（\ Lambda \） CDM宇宙学的结果非常吻合。我们还发现，模型的DE状态方程稍微偏向于幻象状态。我们显示出在\（\ Lambda \）中出现的低红移和高红移观测值之间存在很大的张力在NGCG模型中可以缓解CDM宇宙预测哈勃常数\（H_0 \）的问题。但是，从统计角度来看，我们的结果表明，标准\（\ Lambda \） CDM模型比NGCG宇宙学更适合观测。