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

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 ($E_{\mathrm{p}}$--$E_{\mathrm{iso}}$) 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 $1.4<z\le 8.2$ in the A118 data set and the Pantheon sample of type Ia supernovae (SNe Ia) at $0.01<z\le 2.3$, we obtained $\hat{I}{\text{c◯}}_{\mathrm{m}}$ = $0.379_{-0.024}^{+0.033}$, $h$ = $0.701_{-0.0035}^{+0.0035}$, $w$ = $-1.25_{-0.12}^{+0.14}$, $w_a$ = $-0.84_{-0.38}^{+0.81}$ for the flat Chevallier-Polarski-Linder model at the 1$\ddot{I}ƒ$ confidence level. We find no significant evidence supporting deviations from the standard $\hat{I}›$CDM model.

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