English

High-redshift cosmography: Application and comparison with different methods

Cosmology and Nongalactic Astrophysics 2022-05-11 v1 High Energy Astrophysical Phenomena

Abstract

Cosmography is used in cosmological data processing in order to constrain the kinematics of the universe in a model-independent way. In this paper, we first investigate the effect of the ultraviolet (UV) and X-ray relation of a quasar on cosmological constraints. By fitting the quasar relation and cosmographic parameters simultaneously, we find that the 4σ\sigma deviation from the cosmological constant cold dark matter (Λ\LambdaCDM) model disappears. Next, utilizing the Pantheon sample and 31 long gamma-ray bursts (LGRBs), we make a comparison among the different cosmographic expansions (zz-redshift, yy-redshift, E(y)E(y), log(1+z)\log(1+z), log(1+z)+kij\log(1+z)+k_{ij}, and Padeˊ\rm \acute{e} approximations) with the third-order and fourth-order expansions. The expansion order can significantly affect the results, especially for the yy-redshift method. Through analysis from the same sample, the lower-order expansion is preferable, except the yy-redshift and E(y)E(y) methods. For the yy-redshift and E(y)E(y) methods, despite adopting the same parameterization of y=z/(1+z)y=z/(1+z), the performance of the latter is better than that of the former. Logarithmic polynomials, log(1+z)\log(1+z) and log(1+z)+kij\log(1+z) + k_{ij}, perform significantly better than zz-redshift, yy-redshift, and E(y)E(y) methods, but worse than Padeˊ\rm \acute{e} approximations. Finally, we comprehensively analyze the results obtained from different samples. We find that the Padeˊ(2,1)\rm \acute{e}_{(2,1)} method is suitable for both low and high redshift cases. The Padeˊ(2,2)\rm \acute{e}_{(2,2)} method performs well in a high-redshift situation. For the yy-redshift and E(y)E(y) methods, the only constraint on the first two parameters (q0q_{0} and j0j_{0}) is reliable.

Keywords

Cite

@article{arxiv.2202.09075,
  title  = {High-redshift cosmography: Application and comparison with different methods},
  author = {J. P. Hu and F. Y. Wang},
  journal= {arXiv preprint arXiv:2202.09075},
  year   = {2022}
}

Comments

15 pages, 12 figures, accepted for publication in A&A

R2 v1 2026-06-24T09:43:59.345Z