Observational constraints and differential diagnosis for cosmic evolutionary models
Deng Wang, Xin-He Meng

TL;DR
This paper introduces a novel plotting method based on the natural plotting rule (NPR) to differentiate cosmological models more effectively, applying it to Cardassian scenarios with observational data to improve constraints and distinguishability.
Contribution
The paper develops and applies the NPR-based plotting method to distinguish Cardassian cosmological scenarios, providing more detailed insights and tighter constraints than previous approaches.
Findings
The flat original and original Cardassian scenarios can be distinguished using the NPR in specific parameter planes.
The flat modified polytropic Cardassian scenario can be ruled out as a dark energy candidate based on its deviation from the base cosmology.
The NPR method enhances the ability to differentiate cosmological models using observational data.
Abstract
In this paper, we have proposed a plotting method based on the " natural plotting rule " (NPR) which can be used to distinguish different cosmological scenarios more efficiently and obtain more useful information. By using the NPR, we have avoided the blindness to use different diagnostics when discovering that some scenarios can be hardly differentiated from each other, and develop a logical line to adopt different diagnostics. As a concrete instance, we take this method based on the NPR to distinguish several Cardassian scenarios from the base cosmology scenario, and one from the other. We place constraints on three Cardassian cosmological scenarios and their flat versions by utilizing the Type Ia supernovae (SNe Ia), baryonic acoustic oscillations (BAO), cosmic microwave background (CMB) radiation, observational Hubble parameter (OHD) data-sets as well as the single data point from…
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Taxonomy
TopicsCosmology and Gravitation Theories · Gamma-ray bursts and supernovae · Galaxies: Formation, Evolution, Phenomena
