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Examines a generalized Chaplygin gas model for dark energy and dark matter, suggesting statistical equivalence with existing models.
In light of recent cosmological observations, we examine a generalized Chaplygin gas model with a redshift‐dependent exponent as a framework for describing the dark energy and dark matter content of the Universe. Specifically, we treat this fluid as a single unified component and test it against late‐time background observational data. We employ Type Ia supernova data, cosmic chronometers, and baryon acoustic oscillations from the second data release of the Dark Energy Spectroscopic Instrument. We perform a Bayesian analysis for parameter estimation and compare the model with . We find that the generalized Chaplygin gas provides systematically higher values of the combined likelihood; nevertheless, once the larger number of free parameters is taken into account, both the Bayesian evidence and the Akaike Information Criterion suggest that the model is statistically indistinguishable from .
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Mamon et al. (2026) studied this question.
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