Volume 401, Number 1, April I 2003
|Page(s)||129 - 140|
|Published online||17 March 2003|
On the difference between the short and long gamma-ray bursts
Konkoly Observatory, Budapest, Box 67, 1525, Hungary
2 Laboratory for Information Technology, Eötvös University, Budapest, Pázmány Péter sétány 1/A, 1117, Hungary e-mail: email@example.com
3 Dept. of Physics, Bolyai Military University, Budapest, Box 12, 1456, Hungary e-mail: firstname.lastname@example.org
4 Astronomical Institute of the Charles University, 180 00 Prague 8, V Holešovičkách 2, Czech Republic e-mail: email@example.com
5 Dept. of Astronomy & Astrophysics, Pennsylvania State University, 525 Davey Lab e-mail: firstname.lastname@example.org
Corresponding author: L. G. Balázs, email@example.com
Accepted: 16 December 2002
We argue that the distributions of both the intrinsic fluence and the intrinsic duration of the γ-ray emission in gamma-ray bursts from the BATSE sample are well represented by log-normal distributions, in which the intrinsic dispersion is much larger than the cosmological time dilatation and redshift effects. We perform separate bivariate log-normal distribution fits to the BATSE short and long burst samples. The bivariate log-normal behaviour results in an ellipsoidal distribution, whose major axis determines an overall statistical relation between the fluence and the duration. We show that this fit provides evidence for a power-law dependence between the fluence and the duration, with a statistically significant different index for the long and short groups. We discuss possible biases, which might affect this result, and argue that the effect is probably real. This may provide a potentially useful constraint for models of long and short bursts.
Key words: gamma-rays: bursts / methods: statistical / methods: data analysis
© ESO, 2003
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.