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24 April 2024 |
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Article overview
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Cosmic Evolution of Long Gamma-Ray Burst Luminosity | | Can-Min Deng
; Xiang-Gao Wang
; Bei-Bei Guo
; Rui-Jing Lu
; Yuan-Zhu Wang
; Jun-Jie Wei
; Xue-Feng Wu
; En-Wei Liang
; | | Date: |
28 Jan 2016 | | Abstract: | The cosmic evolution of gamma-ray burst (GRB) luminosity is essential for
revealing the GRB physics and for using GRBs as cosmological probes. We
investigate the luminosity evolution of long GRBs with a large sample of 258
{em Swift}/BAT GRBs. Parameterized the peak luminosity of individual GRBs
evolves as $L_{
m p}propto{
m }(1+z)^{k}$, we get $k=1.49pm0.19$ using the
non-parametric $ au$ statistics method without considering observational
biases of GRB trigger and redshift measurement. By modeling these biases with
the observed peak flux and characterizing the peak luminosity function of long
GRBs as a smoothly broken power-law with a break that evolves as $L_{
m
b}propto (1+z)^{k_{
m b}}$, we obtain $k_{
m b}=1.14^{+0.99}_{-0.47}$
through simulations based on assumption that the long GRB rate follows the star
formation rate (SFR) incorporating with cosmic metallicity history. The derived
$k$ and $k_b$ values are systematically smaller than that reported in previous
papers. By removing the observational biases of the GRB trigger and redshift
measurement based on our simulation analysis, we generate mock {em complete}
samples of 258 and 1000 GRBs to examine how these biases affects on the $ au$
statistics method. We get $k=0.94pm 0.14$ and $k=0.80pm 0.09$ for the two
samples, indicating that these observational biases may lead to overestimate
the $k$ value. With the large uncertain of $k_b$ derived from our simulation
analysis, one even cannot convincingly argue a robust evolution feature of the
GRB luminosity. | | Source: | arXiv, 1601.7645 | | Services: | Forum | Review | PDF | Favorites | |
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