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Revisiting the Relationship between the Long GRB Rate and Cosmic Star Formation History Based on a Large Swift Sample

Authors :
Hao, Jing-Meng
Cao, Liang
Lu, You-Jun
Chu, Qing-Bo
Fan, Jun-Hui
Yuan, Ye-Fei
Yuan, Yu-Hai
Hao, Jing-Meng
Cao, Liang
Lu, You-Jun
Chu, Qing-Bo
Fan, Jun-Hui
Yuan, Ye-Fei
Yuan, Yu-Hai
Publication Year :
2020

Abstract

The exact relationship between the long gamma-ray burst (LGRB) rate and the cosmic star formation rate (CSFR) is essential for using LGRBs as cosmological probes. In this work, we collect a large sample composed of 371 Swift LGRBs with known redshifts and prompt emission properties. We first compare the rest-frame prompt properties of these bursts in different redshift bins, finding negligible redshift evolution of the luminosity of LGRBs with $L_{\mathrm{iso}}\gtrsim10^{51}\,\mathrm{erg\, s^{-1}}$ between $z\sim1$ and $z\sim4$. Then, by utilizing the CSFR obtained from the large-scale cosmological hydrodynamical simulation, the Illustris simulation, we calculate the cumulative redshift distribution of LGRBs under different metallicity thresholds. After comparing with our sample, we find that the predictions with a moderate threshold between $0.3\,Z_{\odot}\leqslant Z_{\mathrm{th}}\leqslant1.0\,Z_{\odot}$ are consistent with the sample between redshift $0<z<3$, while at higher redshifts between $3<z<5$, all metallicity thresholds fit the data well. When changing to an empirical model based on observations, the predictions show similar results as well. After comparing with the metallicity distribution of the observed LGRB host galaxies between $0<z<1$, we confirm that the production of LGRBs in galaxies with super-solar metallicity is suppressed. Nevertheless, considering that a significant fraction of stars are born in sub-solar metallicity environments at $z\gtrsim3$, we suggest that, as a first approximation, LGRBs can be used as direct tracers of the CSFR in this redshift range.<br />Comment: Published in ApJS

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1176400196
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.3847.1538-4365.ab88da