The correlation between gamma-ray burst duration and peak flux

1996 ◽  
Author(s):  
R. E. Rutledge ◽  
W. H. G. Lewin ◽  
G. Pendleton ◽  
J. P. Lestrade ◽  
C. Kouveliotou ◽  
...  
1994 ◽  
Author(s):  
J. P. Norris ◽  
R. J. Nemiroff ◽  
S. P. Davis ◽  
C. Kouveliotou ◽  
G. J. Fishman ◽  
...  

1997 ◽  
Vol 485 (1) ◽  
pp. L1-L3 ◽  
Author(s):  
K. Hurley ◽  
E. Costa ◽  
M. Feroci ◽  
F. Frontera ◽  
T. Cline ◽  
...  

1998 ◽  
Vol 188 ◽  
pp. 461-462
Author(s):  
A. Mészáros ◽  
Z. Bagoly ◽  
L. G. Balázs ◽  
I. Horváth ◽  
P. Mészáros

Extensive data bases on Gamma-Ray Burst (GRB) properties such as the BATSE 3B catalog (Meegan et al. 1996) contain a wealth of statistical information. The nine entries of the 3B database for each GRB consist of two durations, T50, T90, which contain 50% and 90% of the burst energy, respectively; four fluences (time-integrated energy fluxes) F1, F2, F3, F4, defined over different energy channels; and three measures of the peak flux (each summed over the four energy channels), measured over three different resolution timescales (64 ms, 256 ms and 1024 ms). Thus the initial number of variables is n = 9. There is, of course, some incompleteness in the catalog. There are 625 GRBs having all 9 non-zero quantities, and only they are considered here.


2019 ◽  
Vol 490 (1) ◽  
pp. 927-946 ◽  
Author(s):  
J Michael Burgess ◽  
Jochen Greiner ◽  
Damien Bégué ◽  
Franceso Berlato

ABSTRACT Inspired by the confirmed detection of a short gamma-ray burst (GRB) in association with a gravitational wave signal, we present the first Bayesian Fermi-Gamma-ray Burst Monitor (GBM) short GRB spectral catalogue. Both peak flux and time-resolved spectral results are presented. Data are analysed with the proper Poisson likelihood allowing us to provide statistically reliable results even for spectra with few counts. All fits are validated with posterior predictive checks. We find that nearly all spectra can be modelled with a cut-off power law. Additionally, we release the full posterior distributions and reduced data from our sample. Following our previous study, we introduce three variability classes based on the observed light-curve structure.


2020 ◽  
Vol 47 (13-15) ◽  
pp. 2785-2807
Author(s):  
Najme Sharifipanah ◽  
Rahim Chinipardaz ◽  
Gholam Ali Parham

1996 ◽  
Author(s):  
R. E. Rutledge ◽  
W. H. G. Lewin ◽  
J. Hakkila ◽  
T. Koshut ◽  
G. Pendleton ◽  
...  

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