Revisiting a non-parametric reconstruction of the deceleration parameter from combined background and the growth rate data
Purba Mukherjee, Narayan Banerjee

TL;DR
This paper reconstructs the cosmic deceleration parameter using diverse observational data, revealing the transition redshift and behaviors of $q$, and tests the consistency of the $ ext{Lambda}$CDM model with these reconstructions.
Contribution
It provides a non-parametric reconstruction of the deceleration parameter incorporating multiple datasets and examines the effects of spatial curvature, $H_0$ discrepancies, and matter perturbations.
Findings
Transition from deceleration to acceleration occurs at $0.5<z<1$.
Reconstructed $q$ shows non-monotonic and oscillating behavior at high redshift.
The $ ext{Lambda}$CDM model remains consistent within 2$\sigma$ in all reconstructions.
Abstract
The cosmic deceleration parameter has been reconstructed in a non-parametric way using various combinations of recent observational datasets. The Pantheon compilation of the Supernova (SN) distance modulus data, the Cosmic Chronometer (CC) measurements of the Hubble parameter including the full systematics and the Baryon Acoustic Oscillation (BAO) data have been considered in this work. The redshift , where the transition from a past decelerated to a late-time accelerated phase of evolution occurs, is estimated from the reconstructed . The possible effect of a non-zero spatial curvature from the Planck 2020 estimate is checked. The outcome of including different measurements from recent Planck 2020 and Riess 2021 probes having a maximum discrepancy at the level, is investigated. Results indicate that the transition from a past decelerated phase to the…
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