English

Testing Dark Energy Models with Gamma-Ray Bursts Calibrated from the Observational $H(z)$ Data through a Gaussian Process

Cosmology and Nongalactic Astrophysics 2023-04-03 v3

Abstract

We use a cosmology-independent method to calibrate gamma-ray burst (GRB) from the observational Hubble data (OHD) with the cosmic chronometers method. By using Gaussian Process to reconstruct OHD, we calibrate the Amati relation (EpE_{\rm p}--EisoE_{\rm iso}) to construct a GRB Hubble diagram with the A118 data set, and constrain Dark Energy models in a flat space with the Markov Chain Monte Carlo numerical method. With the cosmology-independent GRBs at 1.4<z8.21.4<z\leq8.2 in the A118 data set and the Pantheon sample of type Ia supernovae (SNe Ia) at 0.01<z2.30.01<z\leq2.3, we obtained Ωm\Omega_{\rm m} = 0.3790.024+0.0330.379^{+0.033}_{-0.024}, hh = 0.7010.0035+0.00350.701^{+0.0035}_{-0.0035}, ww = 1.250.12+0.14-1.25^{+0.14}_{-0.12}, waw_a = 0.840.38+0.81-0.84^{+0.81}_{-0.38} for the flat Chevallier-Polarski-Linder model at the 1σ\sigma confidence level. We find no significant evidence supporting deviations from the standard Λ\LambdaCDM model.

Keywords

Cite

@article{arxiv.2212.14291,
  title  = {Testing Dark Energy Models with Gamma-Ray Bursts Calibrated from the Observational $H(z)$ Data through a Gaussian Process},
  author = {Zihao Li and Bin Zhang and Nan Liang},
  journal= {arXiv preprint arXiv:2212.14291},
  year   = {2023}
}

Comments

8 pages, 8 figures, 3 tables, accepted for publication in MNRAS, now matches the editorially revised version