Reconstruction of the Cosmic Equation of State for High Redshift
A. M. Velasquez-Toribio, M. M. Machado, Julio C. Fabris

TL;DR
This paper explores model-independent methods to reconstruct the cosmic equation of state at high redshift using Gamma-Ray Bursts and simulated data, demonstrating the feasibility of Gaussian processes for this purpose.
Contribution
It introduces a non-parametric, model-independent approach combining GRB data and simulated SL effect data to reconstruct the cosmic EoS at high redshift.
Findings
Methodology effectively reconstructs EoS with current data.
Gaussian processes facilitate non-parametric analysis.
Future high-quality data will improve constraints.
Abstract
We investigate the possibilities of reconstructing the cosmic equation of state (EoS) for high redshift. In order to obtain general results, we use two model-independent approaches. The first reconstructs the EoS using comoving distance and the second makes use of the Hubble parameter data. To implement the first method, we use a recent set of Gamma-Ray Bursts (GRBs) measures. To implement the second method, we generate simulated data using the Sandage-Loeb () effect; for the fiducial model, we use the model. In both cases, the statistical analysis is conducted through the Gaussian processes (non-parametric). In general, we demonstrate that this methodology for reconstructing the EoS using a non-parametric method plus a model-independent approach works appropriately due to the feasibility of calculation and the ease of introducing a priori information ( and…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Scientific Research and Discoveries · Gaussian Processes and Bayesian Inference
