Self-organized Criticality in Multi-pulse Gamma-Ray Bursts
Fen Lyu, Ya-Ping Li, Shu-Jin Hou, Jun-Jie Wei, Jin-Jun Geng, Xue-Feng, Wu

TL;DR
This study provides statistical evidence that multi-pulse gamma-ray bursts exhibit self-organized criticality, suggesting magnetic instabilities in the jet may drive the emission process into a critical state.
Contribution
It is the first to analyze the distributions of GRB pulse properties with a Markov Chain Monte Carlo approach to identify SOC behavior.
Findings
Distributions of energy, duration, and peak rate follow power-laws consistent with SOC.
Results support magnetically dominated jets and magnetic instabilities as the emission mechanism.
Distributions align with a Fractal-Diffusive SOC model with spatial dimension 3.
Abstract
The variability in multi-pulse gamma-ray bursts (GRBs) may help to reveal the mechanism of underlying processes from the central engine. To investigate whether the self-organized criticality (SOC) phenomena exist in the prompt phase of GRBs, we statistically study the properties of GRBs with more than 3 pulses in each burst by fitting the distributions of several observed physical variables with a Markov Chain Monte Carlo approach, including the isotropic energy , the duration time and the peak count rate of each pulse. Our sample consists of 454 pulses in 93 GRBs observed by the CGRO/BATSE satellite. The best-fitting values and uncertainties for these power-law indices of the differential frequency distributions are: , and , while the power-law indices in the…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Yersinia bacterium, plague, ectoparasites research · Stellar, planetary, and galactic studies
