High-z cosmography at a glance
Vincenzo Vitagliano, Jun-Qing Xia, Stefano Liberati, Matteo Viel
TL;DR
This paper reviews how cosmography can interpret cosmological data independently of dynamical models, emphasizing data-driven selection of optimal expansion methods for accurate parameter estimation.
Contribution
It provides a comprehensive review of cosmographic constraints using extensive data sets and discusses criteria for selecting the most effective fitting expansions.
Findings
Cosmography allows model-independent interpretation of cosmological data.
Thorough data analysis constrains cosmographic parameters effectively.
Selection criteria improve the accuracy of cosmographic fits.
Abstract
Cosmography is the tool that makes possible to untie the interpretation of cosmological observations from the definition of any dynamical prior. We review the constraints on the cosmographic parameter obtained using the most thorough data set ensemble available. We focus on some specific topics about the statistically based selection of the most stringent fitting expansion.
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Taxonomy
TopicsCosmology and Gravitation Theories · Statistical and numerical algorithms · Astronomy and Astrophysical Research