Self-organized criticality in multi-pulse gamma-ray bursts

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 th...

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Bibliographic Details
Published inFrontiers of physics Vol. 16; no. 1
Main Authors Lyu, Feng, Li, Ya-Ping, Hou, Shu-Jin, Wei, Jun-Jie, Geng, Jin-Jun, Wu, Xue-Feng
Format Journal Article
LanguageEnglish
Published United States Springer 07.10.2020
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Summary: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 Eiso, the duration time T, and the peak count rate P 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: α$^{d}_{E}$ = 1.54±0.09, α$^{d}_{T}$ = 1.82±$^{+0.14}_{0.15}$ and α$^{d}_{P}$ = 2.09$^{+0.18}_{–0.19}$, while the power-law indices in the cumulative frequency distributions are: α$^{c}_{E}$ = 1.44$^{+0.08}_{–0.10}$, α$^{c}_{T}$ = 1.75$^{+0.141}_{–0.13}$ and α$^{c}_{P}$ = 1.99$^{+0.16}_{–0.19}$. We find that these distributions are roughly consistent with the physical framework of a Fractal-Diffusive, Self-Organized Criticality (FD-SOC) system with the spatial dimension S = 3 and the classical diffusion β=1. The results of this study support that the jet responsible for the GRBs should be magnetically dominated and magnetic instabilities (e.g., kink model, or tearing-model instability) lead the GRB emission region into the SOC state.
Bibliography:Chinese Academy of Sciences
LA-UR-20-23425
89233218CNA000001; 11673068; 11725314; U1831122; 11703064; 11903019; U1938116; 17YF1422600; 2017366; QYZDB-SSWSYS005; ZDBS-LY-7014; XDB23000000
USDOE Laboratory Directed Research and Development (LDRD) Program
National Natural Science Foundation of China (NSFC)
USDOE National Nuclear Security Administration (NNSA)
Shanghai Sailing Program
Key Research Program of Frontier Sciences
ISSN:2095-0462
2095-0470