Bibliographic Details
| Title: |
A very energetic supernova associated with the γ-ray burst of 29 March 2003. |
| Authors: |
Hjorth, Jens, Sollerman, Jesper, Moller, Palle, Fynbo, Johan P. U., Woosley, Stan E., Kouveliotou, Chryssa, Tanvir, Nial R., Greiner, Jochen, Andersen, Michael I., Castro-Tirado, Alberto J., Castro Ceron, Jose Maria, Fruchter, Andrew S., Gorosabel, Javier, Jakobsson, Pall, Kaper, Lex, Klose, Sylvio, Masetti, Nicola, Pedersen, Holger, Pedersen, Kristian, Pian, Elena |
| Source: |
Nature. 6/19/2003, Vol. 423 Issue 6942, p847-850. 4p. 2 Charts, 3 Graphs. |
| Subjects: |
Gamma ray bursts, Gamma ray astronomy, Supernovae, Supergiant stars, Star formation, Cataclysmic variable stars, Astronomical observations, Galaxies, X-ray bursts |
| Abstract: |
Over the past five years evidence has mounted that long-duration (>2 s) γ-ray bursts (GRBs)-the most luminous of all astronomical explosions-signal the collapse of massive stars in our Universe. This evidence was originally based on the probable association of one unusual GRB with a supernova¹, but now includes the association of GRBs with regions of massive star formation in distant galaxies2,3, the appearance of supernova-like 'bumps' in the optical afterglow light curves of several bursts4-6 and lines of freshly synthesized elements in the spectra of a few X-ray afterglows7. These observations support, but do not yet conclusively demonstrate, the idea that long-duration GRBs are associated with the deaths of massive stars, presumably arising from core collapse. Here we report evidence that a very energetic supernova (a hypernova) was temporally and spatially coincident with a GRB at redshift z = 0.1685. The timing of the supernova indicates that it exploded within a few days of the GRB, strongly suggesting that core-collapse events can give rise to GRBs, thereby favouring the 'collapsar' model8,9. [ABSTRACT FROM AUTHOR] |
|
Copyright of Nature is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Psychology and Behavioral Sciences Collection |