English

High redshift constraints on dark energy models from the $E_{\rm p,i}$ -- $E_{\rm iso}$ correlation in GRBs

High Energy Astrophysical Phenomena 2018-02-07 v1

Abstract

Here we test different models of dark energy beyond the standard cosmological constant scenario. We start considering the CPL parameterization of the equation of state (EOS), then we consider a dark energy scalar field (Quintessense). Finally we consider models with dark energy at early times (EDE). Our analysis is based on the Union2 type Ia supernovae data set, a Gamma Ray Bursts (GRBs) Hubble diagram, a set of 28 independent measurements of the Hubble parameter, some baryon acoustic oscillations (BAO) measurements. We performed a statistical analysis and explore the probability distributions of the cosmological parameters for each of the competing models. To build up their own regions of confidence, we maximize some appropriate likelihood functions using the Markov chain Monte Carlo (MCMC) method. Our analysis indicates that the EDE and the scalar field quintessence are slightly favored by the present data. Moreover, the GRBs Hubble diagram alone is able to set the transition region from the decelerated to the accelerated expansion of the Universe in all the tested models. Perspectives for improvements in the field with the THESEUS mission are also described.

Keywords

Cite

@article{arxiv.1802.01694,
  title  = {High redshift constraints on dark energy models from the $E_{\rm p,i}$ -- $E_{\rm iso}$ correlation in GRBs},
  author = {Marek Demianski and Ester Piedipalumbo and Disha Sawant and Lorenzo Amati},
  journal= {arXiv preprint arXiv:1802.01694},
  year   = {2018}
}

Comments

To be published in the Proceedings of the THESEUS Workshop 2017 (http://www.isdc.unige.ch/theseus/workshop2017.html), Journal of the Italian Astronomical Society (Mem.SAIt), Editors L. Amati, E. Bozzo, M. Della Valle, D. Gotz, P. O'Brien. Details on the THESEUS mission concept can be found in the white paper Amati et al. 2017 (arXiv:171004638) and Stratta et al. 2017 (arXiv:1712.08153)

R2 v1 2026-06-23T00:12:10.529Z