2011
DOI: 10.1111/j.1365-2966.2011.19459.x
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Gamma-ray burst rate: high-redshift excess and its possible origins

Abstract: Prompted by various analyses of long (Type II) GRB rates and their relationship to the cosmic star-formation history, metallicity and luminosity function evolution, we systematically analyze these effects with a Monte Carlo code. We test various cosmic star-formation history models including analytical and empirical models as well as those derived from cosmological simulations. We also explore expressions for metallicity enhancement of the GRB rate with redshift, as presented in the literature, and discuss imp… Show more

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Cited by 69 publications
(95 citation statements)
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“…(1)- (3) or (4)). To make reliable judgements at high redshifts (z > 3), further observations able to study these relations at higher redshift are needed or other techniques used such as, Monte Carlo Markov chain (e.g., Virgili et al 2011), Principal Component Analysis (e.g., Ishida et al 2011), or simulations introduced into our model (e.g., Campisi et al 2010;de Souza et al 2011;Ishida et al 2011). Another important consideration is the assumptions and simplifications made at the beginning of the modelling, i.e., the stellar IMF, the LGRB luminosity function, the LGRB explosion mechanism and the GMF.…”
Section: Summary Of Results and Limitationsmentioning
confidence: 99%
See 1 more Smart Citation
“…(1)- (3) or (4)). To make reliable judgements at high redshifts (z > 3), further observations able to study these relations at higher redshift are needed or other techniques used such as, Monte Carlo Markov chain (e.g., Virgili et al 2011), Principal Component Analysis (e.g., Ishida et al 2011), or simulations introduced into our model (e.g., Campisi et al 2010;de Souza et al 2011;Ishida et al 2011). Another important consideration is the assumptions and simplifications made at the beginning of the modelling, i.e., the stellar IMF, the LGRB luminosity function, the LGRB explosion mechanism and the GMF.…”
Section: Summary Of Results and Limitationsmentioning
confidence: 99%
“…The UL1 and UL2 samples show a preference for the metallicity limits L = 1.7 Z and 1.75 Z and the mass ranges (M 1 , M 2 ) = (8.0, 11.0) and (7.15, 11.85) respectively. These limits are very lax in comparison to the normal measured results of L ≤ 0.3 Z (see e.g., Yoon et al 2006;Salvaterra & Chincarini 2007;Campisi et al 2010;Virgili et al 2011) and the range of (M 1 , M 2 ) = (9.4, 9.6) (Savaglio et al 2009), and are interpreted as no limit. The predominant difference in our best-fit model compared to previous studies in this area is a result of the differences in the peak of the redshift number distribution whereby previous samples usually peaked at z ∼ 4, and required a metallicity cut-off (see Fig.…”
Section: Parameter Spacesmentioning
confidence: 99%
“…Another possibility that could explain the excess of events at high redshift is to assume that the efficiency of massive stars of forming GRBs increases with redshift. A variable efficiency of forming GRBs could be an effect due to the metallicity of the environment (Daigne et al 2006;Salvaterra & Chincarini 2007;Qin et al 2010;Cao et al 2011;Virgili et al 2011). If one accepts that LGRBs are formed preferentially in a metal-poor medium, the association of (at least a fraction of them) with type Ibc supernovae is difficult to understand since SNIbc preferentially occur in galaxies with high metallicity (Prantzos & Boissier 2003;Prieto et al 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Article published by EDP Sciences A90, page 1 of 7 A&A 556, A90 (2013) Virgili et al (2011) discuss the possibility that the evolution of the GRB luminosity function break with redshift may explain this discrepancy. Observations also show differences in the population of GRB host galaxies compared to expectations for an unbiased star-formation tracer (Tanvir et al 2004;Fruchter et al 2006;Svensson et al 2010).…”
Section: Introductionmentioning
confidence: 99%