Gamma‐Ray Burst Formation Rate Inferred from the Spectral Peak Energy–Peak Luminosity Relation

Yonetoku, Daisuke; Murakami, T.; Nakamura, Takashi; Yamazaki, Ryo; Inoue, Akio; Ioka, Kunihito

doi:10.1086/421285

Cited by 699 publications

(927 citation statements)

References 44 publications

(110 reference statements)

Supporting

Mentioning

816

Contrasting

Unclassified

Order By: Relevance

“…Much of the efforts so far has mainly focused on brightness-hardness types of relations, such as the Amati relation (Eiso − Ep,z) and the Yonetoku relation (Liso − Ep,z). Currently, the general consensus is that these relations do exist with high significance (e.g., Butler, Bloom & Poznanski 2010;Shahmoradi 2013b), but with far less strength than the original findings of Amati et al (2002) and Yonetoku et al (2004). In addition to early hints on the potential existence of duration-brightness relations (e.g., Horvath et al 2005), recently Butler, Bloom & Poznanski (2010) also found, through an elaborate and comprehensive analysis of Swift data, some tentative signatures of a significant positive correlation between the intrinsic duration and the total isotropic emission of LGRBs.…”

Section: Temporal and Spectral Correlationsmentioning

confidence: 98%

Short versus long gamma-ray bursts: a comprehensive study of energetics and prompt gamma-ray correlations

Shahmoradi

Nemiroff

2015

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

We present the results of a comprehensive study of the luminosity function, energetics, prompt gamma-ray correlations, and classification methodology of short-hard and long-soft GRBs (SGRBs & LGRBs), based on observational data in the largest catalog of GRBs available to this date: BATSE catalog of 2702 GRBs. We find that: 1. The least-biased classification method of GRBs into short and long, solely based on prompt-emission properties, appears to be the ratio of the observed spectral peak energy to the observed duration (R = E p /T 90 ) with the dividing line at R 50[keV s −1 ]. 2. Once data is carefully corrected for the effects of the detection threshold of gammaray instruments, the population distribution of SGRBs and LGRBs can be individually well described as multivariate log-normal distribution in the 4-dimensional space of the isotropic peak gamma-ray luminosity, total isotropic gamma-ray emission, the intrinsic spectral peak energy, and the intrinsic duration. 3. Relatively large fractions of SGRBs and LGRBs with moderate-to-low spectral peak energies have been missed by BATSE detectors. 4. Relatively strong and highly significant intrinsic hardnessbrightness and duration-brightness correlations likely exist in both populations of SGRBs and LGRBs, once data is corrected for selection effects. The strengths of these correlations are very similar in both populations, implying similar mechanisms at work in both GRB classes, leading to the emergence of these prompt gamma-ray correlations.

show abstract

Section: Temporal and Spectral Correlationsmentioning

confidence: 98%

Short versus long gamma-ray bursts: a comprehensive study of energetics and prompt gamma-ray correlations

Shahmoradi

Nemiroff

2015

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

show abstract

“…If this is true for all GRBs, it could be possible to use the observer-frame normalization of the relation to estimate the redshifts of GRBs that do not have one measured by other means. This estimation of redshift differs from that of the so-called Amati and Yonetoku relations (Amati et al 2002;Yonetoku et al 2004). These relations rely on the time-integrated properties of GRBs and most likely result from the effects of functional correlation (Massaro et al 2007) and selection effects (Kocevski 2012).…”

Section: Introductionmentioning

confidence: 66%

The rest-frame Golenetskii correlation via a hierarchical Bayesian analysis

Burgess

2017

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

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.

show abstract

“…The high and low energy spectral indices are given by -2.25 and -1, respectively. The spectral peak energy in the source frame can be derived by the Yonetoku relation (Yonetoku et al 2004)…”

Section: The Modelmentioning

confidence: 99%

Research on the redshift evolution of luminosity function and selection effect of GRBs

Tan

Wang

2015

Mon. Not. R. Astron. Soc.

View full text Add to dashboard Cite

We study the redshift evolution of the luminosity function (LF) and redshift selection effect of long gamma-ray bursts (LGRBs). The method is to fit the observed peak flux and redshift distributions, simultaneously. To account for the complex triggering algorithm of Swift, we use a flux triggering efficiency function. We find evidence supporting an evolving LF, where the break luminosity scales as L b ∝ (1 + z) τ , with τ = 3.5 +0.4 −0.2 and τ = 0.8 +0.1 −0.08 for two kind of LGRB rate models. The corresponding local GRB rates arė R(0) = 0.86 +0.11 −0.08 yr −1 Gpc −3 andṘ(0) = 0.54 +0.25 −0.07 yr −1 Gpc −3 , respectively. Furthermore, by comparing the redshift distribution between the observed one and our mocked one, we find that the redshift detection efficiency of the flux triggered GRBs decreases with redshift. Especially, a great number of GRBs miss their redshifts in the redshift range of 1 < z < 2.5, where "redshift desert" effect may be dominated. More interestingly, our results show that the "redshift desert" effect is mainly introduced by the dimmer GRBs, e.g., P < 10 −7 erg/ s/ cm 2 , but has no effect on the brighter GRBs.

show abstract

Gamma‐Ray Burst Formation Rate Inferred from the Spectral Peak Energy–Peak Luminosity Relation

Cited by 699 publications

References 44 publications

Short versus long gamma-ray bursts: a comprehensive study of energetics and prompt gamma-ray correlations

Short versus long gamma-ray bursts: a comprehensive study of energetics and prompt gamma-ray correlations

The rest-frame Golenetskii correlation via a hierarchical Bayesian analysis

Research on the redshift evolution of luminosity function and selection effect of GRBs

Contact Info

Product

Resources

About