Distribution of the number of peaks within a long gamma-ray burst: The full Fermi/GBM catalogue
R. Maccary, M. Maistrello, C. Guidorzi, M. Sartori, L. Amati, L., Bazzanini, M. Bulla, A. E. Camisasca, L. Ferro, F. Frontera, and A. Tsvetkova

TL;DR
This study analyzes the distribution of peaks in approximately 3000 long gamma-ray bursts from the Fermi/GBM catalogue, confirming two distinct regimes—peak-rich and peak-poor—that suggest different underlying emission processes.
Contribution
It provides a comprehensive analysis of the peak distribution in a large GRB sample, confirming the two-regime model with consistent parameters across multiple catalogues.
Findings
Approximately 21% of GRBs are peak-rich with about 8 peaks on average.
About 80% of GRBs are peak-poor with roughly 2 peaks on average.
The distribution is best modeled by a mixture of two exponential functions.
Abstract
Context. The dissipation process responsible for the long gamma-ray burst (GRB) prompt emission and the kind of dynamics that drives the release of energy as a function of time are still key open issues. We recently found that the distribution of the number of peaks per GRB is described by a mixture of two exponentials, suggesting the existence of two behaviours that turn up as peak-rich and peak-poor time profiles. Aims. Our aims are to study the distribution of the number of peaks per GRB of the entire catalogue of about 3000 GRBs observed by the Fermi Gamma-ray Burst Monitor (GBM) and to make a comparison with previous results obtained from other catalogues. Methods. We identified GRB peaks using the MEPSA code and modelled the resulting distribution following the same procedure that was adopted in the previous analogous investigation. Results. We confirm that only a mixture of…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Particle Detector Development and Performance · Astrophysics and Cosmic Phenomena
