Cosmography by orthogonalized logarithmic polynomials
Giada Bargiacchi, G. Risaliti, M. Benetti, S. Capozziello, E. Lusso,, A. Saccardi, M. Signorini

TL;DR
This paper introduces an orthogonalized logarithmic polynomial expansion for cosmography, enabling accurate high-redshift analysis of the universe's expansion and testing the $ ext{Lambda}$CDM model against quasar and supernova data.
Contribution
It proposes a novel orthogonalization method for logarithmic polynomial series, improving high-redshift cosmographic analysis and model testing beyond traditional convergence limits.
Findings
The new expansion fits data up to redshift 7.5 effectively.
Parameters from the series are consistent with $ ext{Lambda}$CDM predictions.
Strong tension (>4σ) with $ ext{Lambda}$CDM at $z>1.5$ is confirmed.
Abstract
Cosmography is a powerful tool to investigate the Universe kinematic and then to reconstruct dynamics in a model-independent way. However, recent new measurements of supernovae Ia and quasars have populated the Hubble diagram up to high redshifts () and the application of the traditional cosmographic approach has become less straightforward due to the large redshifts implied. Here we investigate this issue through an expansion of the luminosity distance-redshift relation in terms of "orthogonal" logarithmic polynomials. In particular we point out the advantages of a new procedure of "orthogonalization" and we show that such an expansion provides a very good fit in the whole range to both real and mock data obtained assuming various cosmological models. Moreover, despite of the fact that the cosmographic series is tested well beyond its convergence radius, the…
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