Statistical and Temporal Analysis of Multi-component Burst-clusters from the Repeating FRB 20190520B
Authors
Jia-heng Zhang
Chen-Hui Niu
Yu-hao Zhu
Di Li
Yu Wang
Wei-yang Wang
Yi Feng
Xin-ming Li
Jia-rui Niu
Pei Wang
Yun-wei Yu
Yong-kun Zhang
Xiao-ping Zheng
Abstract
Fast Radio Bursts (FRBs) are bright, millisecond-duration extragalactic radio transients that probe extreme astrophysical environments. Many FRBs exhibit multi-component structures, which encode information about their emission mechanisms or progenitor systems and thus provide important clues to their origins. In this work, we systematically analyze the burst morphology of FRB 20190520B and compare component distributions across four active FRBs observed with FAST: FRB 20121102A, FRB 20190520B, FRB 20201124A, and FRB 20240114A. We find that multi-component burst-clusters show spectral properties similar to single-peak bursts, and no periodicity is detected in their temporal behavior. The component-count distributions follow a power law, revealing scale-free behavior consistent with self-organized criticality (SOC) processes. Multi-component clusters account for 12-30% of all detected bursts, regardless of source activity, providing new insights into burst-to-burst variability and the physical processes driving FRB emission.
