Journal Article

Investigating FRB 20240114A with FAST: Morphological Classification and Drifting Rate Measurements in a Burst-cluster Framework

Wang, Tian-Cong, Weng, Suming, Niu, Chen-Hui, Zou, Yuan-Chuan, Huang, Yong-Feng, Tsai, Chao-Wei, Wu, Zi-Wei, Cui, Xianghan, Huang, Yu-Xiang, Qu, Yuanhong, Yang, Aiyuan, Jing, Weicong, Shen, Junyi, Zhang, Chunfeng, Tian, Shiyan, Yew, Shihan, Lee, Ke-Jia, Ma, Po, Cao, Jinhuang, Niu, Jiarui, Qu, Qingyue, Li, Dong-Zi, Luo, Jia-Wei, Feng, Yi, Men, Yunpeng, Zhang, Long-Xuan, Zhang, Bing, Zhang, Lei, Zhu, Weiwei, Li, Ye, Luo, Rui, Chen, Xiang-Lei, Zhang, Jun-Shuo, Zhou, Lin, Li, Di, Cao, Shuo, Wang, Wei-Yang, Wang, Yi-Dan, Fang, Jianhua, Xie, Jintao, Zhu, Yuhao, Zhao, Rushuang, Xu, Silu, Wu, Xuefeng, Lin, Lin, Yang, Yuan-Pei, Gao, He, Li, Jian, Zhou, Dengke, Han, Jinlin, Wu, Qin, Chen, Yunchuan, Lu, Wanjin, Miao, Chen-Chen, Wang, Fayin, Chen, Huaxi, Wang, Bojun, Zhou, Dejiang, Yu, Wenfei, Wang, Pei, Zhang, Yong-Kun, Xu, Heng

2026

Overview

This study investigates the morphological classification and drifting rate measurement of the repeating fast radio burst (FRB) source FRB 20240114A using the Five-hundred-meter Aperture Spherical Telescope. Detected on 2024 January 14, FRB 20240114A exhibited an exceptionally high burst rate, revealing unique properties. Through observational campaigns over several months, we selected a data set comprising 3203 bursts (2109 burst clusters) during a continuous monitoring session (15,780 s) on 2024 March 12. Improving upon previous work, we clarify the definitions of sub-bursts, bursts, and burst clusters. Using an average dispersion measures of 529.2 pc cm−3, we classified the burst clusters into Downward Drifting, Upward Drifting, No Drifting, No Evidence for Drifting, Not-Clear, and Complex burst clusters. Among the 978 burst clusters that exhibit drifting behavior, 233 (23.82%) show upward drifting. Additionally, if 142 upward-drifting single-component burst clusters are excluded, upward-drifting double- and multicomponent burst clusters still account for 10.89% of the 836 burst clusters exhibiting drifting behavior, equating to 91 burst clusters. Furthermore, if only upward-drifting burst clusters with consecutive time intervals (or upward-drifting bursts) are considered, only nine bursts remain. Drifting rate comparisons with other physical quantities reveal that the drifting rate increases with peak frequency for single-component burst clusters with drifting behavior. Moreover, in single-component burst clusters, those with upward drifting exhibit smaller effective widths, bandwidths, and fluxes than their downward-drifting counterparts. A Kolmogorov–Smirnov test further indicates that upward-drifting burst clusters possess longer consecutive time intervals than downward-drifting ones, suggesting distinct underlying physical mechanisms.

• Publisher: IOP Publishing
• Subject: Classification / Clusters / Intervals / Morphology / Peak frequency / Radio bursts