Cosmographic parameters in model-independent approaches
Ahmad Mehrabi, Mehdi Rezaei

TL;DR
This study evaluates the effectiveness of the cosmographic approach in a model-independent manner for understanding the universe's evolution, comparing it with Gaussian process and Genetic algorithm methods using SNIa and Hubble data.
Contribution
It provides a comparative analysis of cosmography, Gaussian process, and Genetic algorithm approaches, highlighting the limitations and biases of cosmography at higher redshifts.
Findings
Cosmography results are less accurate compared to other methods.
Tensions exceeding 3σ are observed between cosmography and ΛCDM.
Cosmography shows biases and limitations at higher redshifts.
Abstract
Cosmographic approach, a Taylor expansion of the Hubble function, has been used as a model-independent method to investigate the evolution of the universe in the presence of cosmological data. Apart from possible technical problems like the radius of convergence, there is an ongoing debates about the tensions appear when one investigates some high redshift cosmological data. In this work, we consider two common data sets namely SNIa (Pantheon sample) and the Hubble data to investigate advantages and disadvantages of the cosmographic approach. To do this, we obtain the evolution of cosmographic functions using cosmographic method as well as two other well known model-independent approaches namely, the Gaussian process and the Genetic algorithm. We also assume CDM model as concordance model to compare the results of mentioned approaches. Our results indicate that the results of…
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