Testing dark energy models with gamma-ray bursts calibrated from the observational H(z) data through a Gaussian process. Issue 3 (27th March 2023)

• Record Type: Journal Article
• Authors: Li, Zihao; Zhang, Bin; Liang, Nan
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 521:Issue 3(2023)
• Page Start: 4406
• Page End: 4413
• Publication Date: 2023-03-27
• Subjects: gamma-ray bursts: general -- dark energy -- cosmology: observations; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/stad838
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: We use a cosmology-independent method to calibrate gamma-ray burst (GRB) from the observational Hubble data (OHD) with the cosmic chronometer method. By using Gaussian process to reconstruct OHD, we calibrate the Amati relation ( E p – E 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 ≤ 8.2 in the A118 data set and the Pantheon sample of Type Ia supernovae at 0.01 < z ≤ 2.3, we obtained Ωm = $0.379^{+0.033}_{-0.024}$, h = $0.701^{+0.0035}_{-0.0035}$, w = $-1.25^{+0.14}_{-0.12}$, and w a = $-0.84^{+0.81}_{-0.38}$ for the flat Chevallier–Polarski–Linder model at the 1σ confidence level. We find no significant evidence supporting deviations from the standard Lambda cold dark matter model.