Astronomy and Astrophysics – Astrophysics
Scientific paper
1996-07-25
Astronomy and Astrophysics
Astrophysics
4 figures, AASTeX, to appear in ApJ Letters
Scientific paper
10.1086/310275
We propose a new, simple but powerful algorithm to analyze the gamma-ray burst temporal structures based on identifying non-statistical variations (``peaks'') in the time histories. Detailed analyses of the bursts from the third BATSE catalog show that $\sim 30$ bursts have more than 20 peaks individually. Upon identifying most of the peaks in those bursts, we show that the peak fluence $S_i$ and peak interval $\delta_i$ distributions within each burst are consistent with log-normal distributions. Furthermore, we show that Gaussian (in linear space) and power-law distributions for peak fluences are ruled out, as is the Poisson distribution for peak intervals.
Fenimore Edward E.
Li Hui
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