Constraining the evolution of dark energy with type Ia supernovae and gamma-ray bursts
Shi Qi, Fa-Yin Wang, and Tan Lu

TL;DR
This study constrains the evolution of dark energy's equation of state using type Ia supernovae and gamma-ray bursts, employing a model-independent, binned approach and analyzing the impact of BAO data on the results.
Contribution
It introduces a model-independent method to constrain dark energy evolution using uncorrelated EOS parameters from SNe Ia and GRBs, with and without BAO data.
Findings
Including GRBs reduces the confidence interval of EOS parameters.
The ratio of dark energy to matter likely decreases beyond redshift 1.8.
Results are consistent with a cosmological constant when BAO data are excluded.
Abstract
The behavior of the dark energy equation of state (EOS) is crucial in distinguishing different cosmological models. With a model independent approach, we constrain the possible evolution of the dark energy EOS. Gamma-ray bursts (GRBs) of redshifts up to are used, in addition to type Ia supernovae (SNe Ia). We separate the redshifts into 4 bins and assume a constant EOS parameter for dark energy in each bin. The EOS parameters are decorrelated by diagonalizing the covariance matrix. And the evolution of dark energy is estimated out of the uncorrelated EOS parameters. By including GRB luminosity data, we significantly reduce the confidence interval of the uncorrelated EOS parameter whose contribution mostly comes from the redshift bin of . At high redshift where we only have GRBs, the constraints on the dark energy EOS are still very weak. However, we can see an obvious…
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