SIMBAD references

2008MNRAS.391..577A - Mon. Not. R. Astron. Soc., 391, 577-584 (2008/December-1)

Measuring the cosmological parameters with the Ep,i-Eiso correlation of gamma-ray bursts.

AMATI L., GUIDORZI C., FRONTERA F., DELLA VALLE M., FINELLI F., LANDI R. and MONTANARI E.

Abstract (from CDS):

We have used the E_p,i_-Eiso correlation of gamma-ray bursts (GRBs) to measure the cosmological parameter ΩM. By adopting a maximum likelihood approach which allows us to correctly quantify the extrinsic (i.e. non-Poissonian) scatter of the correlation, we constrain (for a flat universe) ΩM to 0.04-0.40 (68 per cent confidence level), with a best-fitting value of ΩM∼ 0.15, and exclude ΩM= 1 at >99.9 per cent confidence level. If we release the assumption of a flat universe, we still find evidence for a low value of ΩM(0.04-0.50 at 68 per cent confidence level) and a weak dependence of the dispersion of the E_p,i_-Eiso correlation on ΩΛ(with an upper limit of ΩΛ∼ 1.15 at 90 per cent confidence level). Our approach makes no assumptions on the E_p,i_-Eisocorrelation and it does not use other calibrators to set the `zero' point of the relation, therefore our treatment of the data is not affected by circularity and the results are independent of those derived via Type Ia supernovae (or other cosmological probes). Unlike other multi-parameters correlations, our analysis grounds on only two parameters, then including a larger number (a factor of ∼3) of GRBs and being less affected by systematics. Simulations based on realistic extrapolations of ongoing (and future) GRB experiments (e.g. Swift, Konus-Wind, GLAST) show that: (i) the uncertainties on cosmological parameters can be significantly decreased and (ii) future data will allow us to get clues on the `dark energy' evolution.

Abstract Copyright: © 2008 The Authors. Journal compilation © 2008 RAS

Journal keyword(s): cosmological parameters - gamma-rays: bursts - gamma-rays: observations

Simbad objects: 55

goto Full paper

goto View the references in ADS

To bookmark this query, right click on this link: simbad:2008MNRAS.391..577A and select 'bookmark this link' or equivalent in the popup menu