Cosmological constraints from calibrated $E_p-E_{iso}$ gamma-ray burst correlation by using DESI 2024 data release
Anna Chiara Alfano, Orlando Luongo, Marco Muccino

TL;DR
This paper calibrates gamma-ray burst correlations using DESI 2024 data to constrain dark energy models, exploring the impact of spatial curvature and model selection criteria on cosmological inferences.
Contribution
It introduces a model-independent calibration of the $E_p-E_{iso}$ correlation with DESI data, assessing multiple dark energy models and the effect of spatial curvature.
Findings
Preference for the standard $ m extLambda$CDM model in flat universe
Open possibility of evolving dark energy at high redshifts
Calibration method reduces model dependence in gamma-ray burst cosmology
Abstract
Recent outcomes by the DESI Collaboration have shed light on a possible slightly evolving dark energy, challenging the standard CDM paradigm. To better understand dark energy nature, high-redshift observations like gamma-ray burst data become essential for mapping the universe expansion history, provided they are calibrated with other probes. To this aim, we calibrate the (or Amati) correlation through model-independent B\'ezier interpolations of the updated Hubble rate and the novel DESI data sets. More precisely, we provide two B\'ezier calibrations: i) handling the entire DESI sample, and ii) excluding the point at , criticized by the recent literature. In both the two options, we let the comoving sound horizon at the drag epoch, , vary in the range Mpc. The Planck value is also explored for comparison. By means of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGamma-ray bursts and supernovae · Statistical and numerical algorithms
