Improved constraints on the dark energy equation of state using Gaussian processes
Deng Wang, Xin-He Meng

TL;DR
This study uses Gaussian processes with updated data to tightly constrain the dark energy equation of state and examines how cosmological parameters influence these reconstructions, supporting recent local H0 measurements.
Contribution
It introduces an improved GP-based method with new data to better constrain the dark energy EoS and analyzes the effects of key cosmological parameters on these reconstructions.
Findings
Tighter constraints on dark energy EoS using combined data.
Variable H0 significantly influences EoS reconstructions.
Results support the local H0 measurement by Riess et al.
Abstract
We perform a comprehensive study of the dark energy equation of state (EoS) utilizing the model-independent Gaussian processes (GP). Using a combination of the Union 2.1 data set, the 30 newly added H(z) cosmic chronometer data points and Planck's shift parameter, we modify the usual GaPP code and provide a tighter constraint on the dark energy EoS than the previous literature about GP reconstructions. Subsequently, we take the "controlling variable method" to investigate directly the effects of variable matter density parameter , variable cosmic curvature and variable Hubble constant on the dark energy EoS, respectively. We find that too small or large , and are all disfavored by our GP reconstructions based on current cosmological observations. Subsequently, we find that variable and affect…
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