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In this study, we construct a theoretical framework based on the generalized Hubble parameter form which may arise within the particle creation, viscous and gravity theory. The Hubble parameter is scrutinized for its compatibility with the observational data relevant to the late-time universe. By using Bayesian statistical techniques based on minimization method, we determine model parameters’s best fit values for the cosmic chronometer and supernovae Pantheon datasets. For the best fit values, the cosmographic and physical parameters are analyzed to understand the cosmic dynamics in model. We also analyze the model section criterion in comparison to the cold dark matter model.

生成讲解博客的中文版本

生成AI智能校验的中文版本