Correlation between luminosity and temperature in γ-ray burst sources

Golenetskii, S.; Mazets, E.; Aptekar, R.; Ilyinskii, V. N.

doi:10.1038/306451a0

Cited by 199 publications

(161 citation statements)

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“…This luminosity-E rest peak relation was first discovered by Golenetskii et al (1983) and has been found in several GRBs regardless of their lightcurve shape. The relation is sometimes referred to as the hardness-intensity correlation or the Golenetskii correlation (GC).…”

Section: Introductionmentioning

confidence: 99%

“…A key feature of gamma-ray bursts (GRBs) is the observed relation within a burst between the luminosity and the νFν peak energy (E rest peak ) (Golenetskii et al 1983;Kargatis 1994;Borgonovo & Ryde 2001;Ryde et al 2006;Ghirlanda et al 2010;Lu et al 2010;Zhang & Chen 2012;Guiriec et al 2013;Burgess et al 2014). This luminosity-E rest peak relation was first discovered by Golenetskii et al (1983) and has been found in several GRBs regardless of their lightcurve shape.…”

Section: Introductionmentioning

confidence: 99%

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The rest-frame Golenetskii correlation via a hierarchical Bayesian analysis

Burgess

2017

Monthly Notices of the Royal Astronomical Society

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Gamma-ray bursts (GRBs) are characterised 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 spread in intrinsic rest-frame correlation normalizations for the GRBs in our sample (∼ 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. 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.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The rest-frame Golenetskii correlation via a hierarchical Bayesian analysis

Burgess

2017

Monthly Notices of the Royal Astronomical Society

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“…Besides the above hot electrons, the appearance of narrow line features, if confirmed, strongly suggests the simultaneous presence of a cold component with floor temperature Tj= < 10 keV as deduced from the line widths. In addition, if the latest discovery by Golenetskii et al 15 i s confirmed, we also have the interesting requirement: 7. The synchrotron luminosity must scale with emission temperature approximately as L = T^.…”

Section: Origin Of the "Hot" Electronsmentioning

confidence: 99%

Physics of the synchrotron model of cosmic gamma ray bursts

Liang¹

1984

AIP Conference Proceedings

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“…The observational correlation between peak frequency and luminosity was discovered by Golenetskii et al (1983) and is also known as the internal Yonetoku correlation (i.e. the Yonetoku correlation for individual bursts, Yonetoku et al 2010).…”

Section: The Golenetskii Correlationmentioning

confidence: 99%

Photospheric emission from long duration gamma-ray bursts powered by variable engines

López-Cámara

Morsony

Lazzati

2015

Proceedings of Swift: 10 Years of Discovery — PoS(SWIFT 10)

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We present the results of a set of numerical simulations of long-duration gamma-ray burst jets aimed at studying the effect of a variable engine on the peak frequency of the photospheric emission. Our simulations follow the propagation of the jet inside the progenitor star, its break-out, and the subsequent expansion in the environment out to the photospheric radius. A constant and two step-function models are considered for the engine luminosity. We show that our synthetic light-curves follow a luminosity-peak frequency correlation analogous to the Golenetskii correlation found in long-duration gamma-ray burst observations. Within the parameter space explored, it appears that the central engine luminosity profile does not have a significant effect on the location of a gamma-ray burst in the Luminosity-peak frequency plane, bursts from different central engines being indistinguishable from each other.

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Correlation between luminosity and temperature in γ-ray burst sources

Cited by 199 publications

References 9 publications

The rest-frame Golenetskii correlation via a hierarchical Bayesian analysis

The rest-frame Golenetskii correlation via a hierarchical Bayesian analysis

Physics of the synchrotron model of cosmic gamma ray bursts

Photospheric emission from long duration gamma-ray bursts powered by variable engines

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