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, 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.
Keywords
Cite
@article{arxiv.2507.14711,
title = {Investigating FRB 20240114A with FAST: Morphological Classification and Drifting Rate Measurements in a Burst-Cluster Framework},
author = {Long-Xuan Zhang and Shiyan Tian and Junyi Shen and Jun-Shuo Zhang and Dejiang Zhou and Lin Zhou and Po Ma and Tian-Cong Wang and Dengke Zhou and Jinlin Han and Yunpeng Men and Fayin Wang and Jiarui Niu and Pei Wang and Weiwei Zhu and Bing Zhang and Di Li and Yuan-Chuan Zou and Wei-Yang Wang and Yuan-Pei Yang and Qin Wu and He Gao and Ke-Jia Lee and Jia-Wei Luo and Rui Luo and Chao-Wei Tsai and Lin Lin and Wanjin Lu and Jintao Xie and Jianhua Fang and Jinhuang Cao and Chen-Chen Miao and Yuhao Zhu and Yunchuan Chen and Yong-Kun Zhang and Shuo Cao and Zi-Wei Wu and Chunfeng Zhang and Silu Xu and Huaxi Chen and Xiang-Lei Chen and Xianghan Cui and Yi Feng and Yu-Xiang Huang and Weicong Jing and Dong-Zi Li and Jian Li and Ye Li and Chen-Hui Niu and Yong-Feng Huang and Qingyue Qu and Yuanhong Qu and Bojun Wang and Yi-Dan Wang and Suming Weng and Xuefeng Wu and Heng Xu and Shihan Yew and Aiyuan Yang and Wenfei Yu and Lei Zhang and Rushuang Zhao},
journal= {arXiv preprint arXiv:2507.14711},
year = {2025}
}
Comments
23 pages, 14 figures, 1 tables, the 3rd of papers from the FAST FRB Key Science Project Collaboration on FRB 20240114A: Burst Morphology Analysis, accepted for publication in ApJ