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The rest-frame Golenetskii correlation via a hierarchical Bayesian analysis
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics. Oskar Klein Ctr Cosmoparticle Phys, SE-10691 Stockholm, Sweden.ORCID iD: 0000-0003-3345-9515
2019 (English)In: Monthly notices of the Royal Astronomical Society, ISSN 0035-8711, E-ISSN 1365-2966, Vol. 485, no 1, p. 1262-1277Article in journal (Refereed) Published
Abstract [en]

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 (similar to 1 - 2). Furthermore, I find evidence that there is a spread in intrinsic rest-frame correlation normalizations for the GRBs in our sample (similar to 10(51)-10(53) 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.

Place, publisher, year, edition, pages
OXFORD UNIV PRESS , 2019. Vol. 485, no 1, p. 1262-1277
Keywords [en]
methods: data analysis, methods: statistical, gamma-ray burst: general, LLAPORTAS P, 1995, BIOMETRICS, V51, P1085 loborodov Andrei M., 2010, MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, V407, P1033 R. -J., 2010, ASTROPHYSICAL JOURNAL, V720, P1146 dreon S., 2010, MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, V404, P1922 irlanda G., 2010, ASTRONOMY & ASTROPHYSICS, V510
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
URN: urn:nbn:se:kth:diva-252391DOI: 10.1093/mnras/stx1159ISI: 000466786400087OAI: oai:DiVA.org:kth-252391DiVA, id: diva2:1326603
Note

QC 20190618

Available from: 2019-06-18 Created: 2019-06-18 Last updated: 2019-06-24Bibliographically approved

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Burgess, J. Michael

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