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2019MNRAS.485.1262B - Mon. Not. R. Astron. Soc., 485, 1262-1277 (2019/May-1)

The rest-frame Golenetskii correlation via a hierarchical Bayesian analysis.

BURGESS J.M.

Abstract (from CDS):

Gamma-ray bursts (GRBs) are characterized by a strong correlation between the instantaneous luminosity and the spectral peak energy within a burst. This correlation, which is known as the hardness-intensity correlation or the Golenetskii correlation, not only holds important clues to the physics of GRBs but is thought to have the potential to determine redshifts of bursts. In this paper, I use a hierarchical Bayesian model to study the universality of the rest-frame Golenetskii correlation and in particular I assess its use as a redshift estimator for GRBs. I find that, using a power-law prescription of the correlation, the power-law indices cluster near a common value, but have a broader variance than previously reported (∼1 - 2). Furthermore, I find evidence that there is a spread in intrinsic rest-frame correlation normalizations for the GRBs in our sample (∼1051-1053 erg s–1). This points towards variable physical settings of the emission (magnetic field strength, number of emitting electrons, photospheric radius, viewing angle, etc.). Subsequently, these results eliminate the Golenetskii correlation as a useful tool for redshift determination and hence a cosmological probe in its current form. Though, modifications such as the introduction of correction terms similar to supernovae may alleviate these issues. Nevertheless, the Bayesian method introduced in this paper allows for a better determination of the rest-frame properties of the correlation, which in turn allows for more stringent limitations for physical models of the emission to be set.

Abstract Copyright: © 2017 The Author Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): methods: data analysis - methods: statistical - gamma-ray burst: general

Simbad objects: 10

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