An improved model-independent assessment of the late-time cosmic expansion
Balakrishna S. Haridasu, Vladimir V. Lukovi\'c, Michele Moresco and, Nicola Vittorio

TL;DR
This paper extends Gaussian Process methods to jointly analyze multiple cosmological datasets, providing improved, model-independent estimates of late-time cosmic expansion parameters consistent with standard cosmology.
Contribution
It introduces a Multi-Task Gaussian Process formalism for joint cosmological data analysis, allowing model-independent parameter estimation and systematic data treatment.
Findings
Estimated H0 = 68.52 km/s/Mpc with systematics
Derived deceleration parameter q0 = -0.52
Found transition redshift zT = 0.64
Abstract
In the current work, we have implemented an extension of the standard Gaussian Process formalism, namely the Multi-Task Gaussian Process with the ability to perform a joint learning of several cosmological data simultaneously. We have utilised the "low-redshift" expansion rate data from Supernovae Type-Ia (SN), Baryon Acoustic Oscillations (BAO) and Cosmic Chronometers (CC) data in a joint analysis. We have tested several possible models of covariance functions and find very consistent estimates for cosmologically relevant parameters. In the current formalism, we also find provisions for heuristic arguments which allow us to select the best-suited kernel for the reconstruction of expansion rate data. We also utilised our method to account for systematics in CC data and find an estimate of and a corresponding $r_d =…
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