Curvature dark energy reconstruction through different cosmographic distance definitions
Salvatore Capozziello, Mariafelicia De Laurentis, and Orlando Luongo

TL;DR
This paper investigates a model-independent reconstruction of $f(R)$ gravity using different cosmographic distances, analyzing supernova and BAO data to constrain curvature dark energy and its evolution.
Contribution
It introduces a method relating cosmography to $f(R)$ and its derivatives using multiple distance definitions to reduce duality issues, providing new constraints on curvature dark energy.
Findings
Distances converge to linear relation at first order
Curvature dark energy pressure is slightly below cosmological constant
Jerk parameter is compatible with $j_0>1$
Abstract
In the context of gravity, dark energy is a geometrical fluid with negative equation of state. Since the function is not known \emph{a priori}, the need of a model independent reconstruction of its shape represents a relevant technique to determine which model is really favored with respect to others. To this aim, we relate cosmography to a generic and its derivatives in order to provide a model independent investigation at redshift . Our analysis is based on the use of three different cosmological distance definitions, in order to alleviate the duality problem, i.e. the problem of which cosmological distance to use with specific cosmic data sets. We therefore consider the luminosity, , flux, , and angular, , distances and we find numerical constraints by the Union 2.1 supernovae compilation and…
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