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Ruffini, R., Rueda, J.A., Muccino, M., Aimuratov, Y., Becerra, L.M., Bianco, C.L., Kovacevic, M., Moradi, R., Oliveira, F.G., Pisani, G.B. and Wang, Y. (2016) On the Classification of GRBs and Their Occurrence Rates. The Astrophysical Journal, 832, Article No. 136.
https://doi.org/10.3847/0004-637x/832/2/136

has been cited by the following article:

• TITLE: Does the Redshift Distribution of Swift Long GRBs Trace the Star-Formation Rate?

  AUTHORS: Ali M. Hasan, Walid J. Azzam

  KEYWORDS: Gamma-Ray Bursts, Redshift Distribution, Star-Formation Rate

  JOURNAL NAME: International Journal of Astronomy and Astrophysics, Vol.14 No.1, March 25, 2024

  ABSTRACT: Gamma-ray bursts (GRBs) are extremely powerful explosions that have been traditionally classified into two categories: long bursts (LGRBs) with an observed duration T90 > 2 s, and short bursts (SGRBs) with an observed duration T90 T90 is the time interval during which 90% of the fluence is detected. LGRBs are believed to emanate from the core-collapse of massive stars, while SGRBs are believed to result from the merging of two compact objects, like two neutron stars. Because LGRBs are produced by the violent death of massive stars, we expect that their redshift distribution should trace the star-formation rate (SFR). The purpose of our study is to investigate the extent to which the redshift distribution of LGRBs follows and reflects the SFR. We use a sample of 370 LGRBs taken from the Swift catalog, and we investigate different models for the LGRB redshift distribution. We also carry out Monte Carlo simulations to check the consistency of our results. Our results indicate that the SFR can describe the LGRB redshift distribution well for high redshift bursts, but it needs an evolution term to fit the distribution well at low redshift.