Volume 581, September 2015
|Number of page(s)||6|
|Published online||27 August 2015|
Analysis of Fermi gamma-ray burst duration distribution
Astronomical Observatory, Jagiellonian University, Orla 171, 30-244 Cracow, Poland
Received: 26 April 2015
Accepted: 24 June 2015
Context. Two classes of gamma-ray bursts (GRBs), short and long, have been determined without any doubts, and are usually prescribed to different physical scenarios. A third class, intermediate in T90 durations has been reported in the datasets of BATSE, Swift, RHESSI, and possibly BeppoSAX. The latest release of >1500 GRBs observed by Fermi gives an opportunity to further investigate the duration distribution.
Aims. The aim of this paper is to investigate whether a third class is present in the log T90 distribution, or whether it is described by a bimodal distribution.
Methods. A standard χ2 fitting of a mixture of Gaussians was applied to 25 histograms with different binnings.
Results. Different binnings give various values of the fitting parameters, as well as the shape of the fitted curve. Among five statistically significant fits, none is trimodal.
Conclusions. Locations of the Gaussian components are in agreement with previous works. However, a trimodal distribution, understood in the sense of having three distinct peaks, is not found for any binning. It is concluded that the duration distribution in the Fermi data is well described by a mixture of three log-normal distributions, but it is intrinsically bimodal, hence no third class is present in the T90 data of Fermi. It is suggested that the log-normal fit may not be an adequate model.
Key words: gamma rays: general / methods: data analysis / methods: statistical
© ESO, 2015
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.