Exploring new physics in the late Universe's expansion through non-parametric inference
Miguel A. Sabogal, \"Ozg\"ur Akarsu, Alexander Bonilla, Eleonora Di, Valentino, Rafael C. Nunes

TL;DR
This paper uses non-parametric Gaussian Processes to analyze late universe data, revealing potential deviations from the standard cosmological model and insights into dark energy dynamics at specific redshift ranges.
Contribution
It introduces a minimal-assumption, non-parametric approach to detect deviations from the Planck-$\Lambda$CDM model and explores dark energy behavior across different redshifts.
Findings
Deviations from $\Lambda$CDM are observed at $z \\lesssim 0.5$ and $z \\gtrsim 2$.
Dark energy exhibits traits of omnipotent, quintessence, and phantom models depending on redshift.
Different $H_0$ scenarios influence dark energy characteristics.
Abstract
In this study, we investigate deviations from the Planck-CDM model in the late universe () using the Gaussian Processes method, with minimal assumptions. Our goal is to understand where exploring new physics in the late universe is most relevant. We analyze recent Cosmic Chronometers (CC), Type Ia Supernovae (SN), and Baryon Acoustic Oscillations (BAO) data. By examining reconstructions of the dimensionless parameter , which measures deviations of the Hubble parameter from the Planck-CDM predictions, we identify intriguing features at low () and high () redshifts. Deviations from the Planck-CDM model were not significant between . Using the combined CC+SN+BAO dataset, we gain insights into dark energy (DE) dynamics, resembling characteristics of omnipotent DE, extending beyond…
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