主要内容:
通过对delay time的分布来限制短暴的前身星。
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| Title: |
| Progenitor delay-time distribution of short gamma-ray bursts: Constraints from observations |
| Authors: |
| Hao, Jing-Meng; Yuan, Ye-Fei |
| Affiliation: |
| AA(Key
Laboratory for Research in Galaxies and Cosmology CAS, Department of
Astronomy, University of Science and Technology of China Hefei, Anhui,
230026, PR China yfyuan@ustc.edu.cn), AB(Key Laboratory
for Research in Galaxies and Cosmology CAS, Department of Astronomy,
University of Science and Technology of China Hefei, Anhui, 230026, PR
China) |
| Publication: |
| Astronomy & Astrophysics, Volume 558, id.A22, 6 pp. (A&A Homepage) |
| Publication Date: |
| 10/2013 |
| Origin: |
| EDP Sciences |
| Astronomy Keywords: |
| gamma-ray burst: general, binaries: close, stars: evolution, stars: formation, stars: neutron, black hole physics |
| DOI: |
| 10.1051/0004-6361/201321471 |
| Bibliographic Code: |
| 2013A&A...558A..22H |
Abstract
Context. The progenitors of short gamma-ray bursts (SGRBs) have not yet
been well identified. The most popular model is the merger of compact
object binaries (NS-NS/NS-BH). However, other progenitor models cannot
be ruled out. The delay-time distribution of SGRB progenitors, which is
an important property to constrain progenitor models, is still poorly
understood.
Aims: We aim to better constrain the luminosity
function of SGRBs and the delay-time distribution of their progenitors
with newly discovered SGRBs.
Methods: We present a
low-
contamination sample of 16 Swift SGRBs that is
better defined by a
duration shorter than 0.8 s. By using this robust sample and by
combining a self-consistent star formation model with various models for
the distribution of time delays, the
redshift distribution of SGRBs is
calculated and then compared to the observational data.
Results:
We find that the power-law delay distribution model is disfavored and
that only the
lognormal delay distribution model with the typical delay
τ ≳ 3 Gyr is consistent with the data. Comparing Swift SGRBs
with T
90 > 0.8 s to our robust sample (T
90 <
0.8 s), we find a significant difference in the time delays between
these two samples.
Conclusions: Our results show that the
progenitors of SGRBs are dominated by
relatively long-lived systems
(τ ≳ 3 Gyr), which contrasts the results found for Type Ia
supernovae. We therefore conclude that primordial NS-NS systems are not
favored as the dominant SGRB progenitors. Alternatively, dynamically
formed NS-NS/BH and primordial NS-BH systems with average delays longer
than 5 Gyr may contribute a significant fraction to the overall SGRB
progenitors.