arXiv · 2507.14711
Investigating FRB 20240114A with FAST: Morphological Classification and Drifting Rate Measurements in a Burst-Cluster Framework
Abstract
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 (FAST). Detected on January 14, 2024, FRB 20240114A exhibited an exceptionally high burst rate, revealing unique properties. Through observational campaigns over several months, we selected a dataset comprising 3,203 bursts (2,109 burst-clusters) during a continuous monitoring session (15,780 seconds) on March 12, 2024. Improving upon previous work, we clarify the definitions of sub-bursts, bursts and burst-clusters. Using an average dispersion measures (DM) 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 multi-component 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 9 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.
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Long-Xuan Zhang, Shiyan Tian, Junyi Shen, Jun-Shuo Zhang, Dejiang Zhou, Lin Zhou, Po Ma, Tian-Cong Wang, Dengke Zhou, Jinlin Han, Yunpeng Men, Fayin Wang, Jiarui Niu, Pei Wang, Weiwei Zhu, Bing Zhang, Di Li, Yuan-Chuan Zou, Wei-Yang Wang, Yuan-Pei Yang, Qin Wu, He Gao, Ke-Jia Lee, Jia-Wei Luo, Rui Luo, Chao-Wei Tsai, Lin Lin, Wanjin Lu, Jintao Xie, Jianhua Fang, Jinhuang Cao, Chen-Chen Miao, Yuhao Zhu, Yunchuan Chen, Yong-Kun Zhang, Shuo Cao, Zi-Wei Wu, Chunfeng Zhang, Silu Xu, Huaxi Chen, Xiang-Lei Chen, Xianghan Cui, Yi Feng, Yu-Xiang Huang, Weicong Jing, Dong-Zi Li, Jian Li, Ye Li, Chen-Hui Niu, Yong-Feng Huang, Qingyue Qu, Yuanhong Qu, Bojun Wang, Yi-Dan Wang, Suming Weng, Xuefeng Wu, Heng Xu, Shihan Yew, Aiyuan Yang, Wenfei Yu, Lei Zhang, Rushuang Zhao. 2025-07-19. Investigating FRB 20240114A with FAST: Morphological Classification and Drifting Rate Measurements in a Burst-Cluster Framework. https://arxiv.org/abs/2507.14711
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