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A&A 385, L19-L22 (2002)
DOI: 10.1051/0004-6361:20011764
Letter
Timing diagrams and correlations in gamma-ray bursts signal jets from accretion into black holes
S. McBreen, B. McBreen, F. Quilligan and L. HanlonDepartment of Experimental Physics, University College Dublin, Dublin 4, Ireland
(Received 22 October 2001 / Accepted 10 December 2001)
Abstract
The temporal properties of a sample of 498 bright
gamma-ray bursts (GRBs) with durations between 0.05 s and 674 s
were analysed. The large range in duration (
T90) is
accompanied by a similarly large range in the median values of
the pulse timing properties including rise time, fall time, FWHM
and separation between the pulses. Four timing diagrams relating
these pulse properties to
T90 are presented and show the
power law relationships between the median values of the 4 pulse
timing properties and
T90, but also that the power laws
depend in a consistent manner on the number of pulses per GRB.
The timing diagrams are caused by the correlated properties of
the pulses in the burst and can be explained by a combination of
factors including the Doppler boost factor
, a viewing
effect caused by a jet and different progenitors. GRBs with
similar values of
T90 have a wide range in the number of
pulses. GRBs with the large number of short and spectrally hard
pulses may occur either from a homogeneous jet with a higher
average value of
or close to the axis of an
inhomogeneous jet with higher values of
near the
rotation axis. The less luminous GRBs with fewer pulses may
originate further from the axis of the inhomogeneous jet. The
pulses in GRBs have six distinctive statistical properties
including correlations between time intervals, correlations
between pulse amplitudes, an anticorrelation between pulse
amplitudes and time intervals, and a link to intermittency in GRS
1915+105. The timing diagrams and correlated pulses suggest that
GRBs are powered by accretion processes signalling jets from the
formation of black holes.
Key words: gamma rays -- bursts: gamma rays -- observations: methods -- data analysis: methods -- statistical
Offprint request: S. McBreen, smcbreen@bermuda.ucd.ie
SIMBAD Objects
© ESO 2002
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