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A Comprehensive Statistical Study of Gamma-Ray Bursts

作者: 时间:2021-06-17 浏览次数:

                               

A Comprehensive Statistical Study of Gamma-Ray Bursts

Feifei Wang 1,2 , Yuan-Chuan Zou 1 , Fuxiang Liu 3 , Bin Liao 1 , Yu Liu 1 , Yating Chai 1 , and Lei Xia 1

1 School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China; zouyc@hust.edu.cn

2 School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, People’s Republic of China; wangfeifei@qust.edu.cn

3 College of Science and TGMRC, China Three Gorges University, Yichang 443002, People’s Republic of China; lfxshufe@gmail.com

Received 2018 March 2; revised 2019 February 8; accepted 2019 February 13; published 2020 April 16



Abstract

In order to obtain an overview of gamma-ray bursts (GRBs), we need a full sample. In this paper, we collected

6289 GRBs (from GRB 910421 to GRB 160509A) from the literature, including their prompt emission, afterglow,

and host galaxy properties. We hope to use this large sample to reveal the intrinsic properties of GRBs. We have

listed all of the data in machine-readable tables, including the properties of the GRBs, correlation coefficients and

linear regression results of two arbitrary parameters, and linear regression results of any three parameters. These

machine-readable tables could be used as a data reservoir for further studies on the classifications or correlations.

One may find some intrinsic properties from these statistical results. With these comprehensive tables, it is possible

to find relations between different parameters and to classify the GRBs into different subgroups. Upon completion,

they may reveal the nature of GRBs and may be used as tools like pseudo-redshift indicators, standard candles, etc.

All of the machine-readable data and statistical results are available.

Key words: astronomical databases: miscellaneous – gamma-ray burst: general – methods: statistical – stars:

statistics

Supporting material: figure sets, machine-readable tables


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