标题： 用FAST研究FRB 20240114A：在爆发簇框架中的形态分类和漂移率测量 显示英文标题

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

摘要： 本研究利用五百米口径球面射电望远镜（FAST）对重复快速射电暴（FRB）源FRB20240114A进行了形态分类和漂移速率测量。 于2024年1月14日被探测到，FRB20240114A表现出异常高的爆发率。 在2024年3月12日连续15,780秒的监测过程中，检测到了3,203次爆发（2,109次爆发簇）。 我们重新定义了子爆发、爆发和爆发簇的定义。 使用平均色散测量值（DM）为529.2 pc cm$^{-3}$，爆发簇被分为向下漂移、向上漂移、无漂移、无漂移证据、不明确和复杂类别。 值得注意的是，在978个漂移爆发簇中，有233个（23.82%）显示向上漂移。 排除142个向上漂移的单组分簇后，剩余的91个向上漂移的双组分或多组分簇占漂移样本的10.89%。 进一步限制为具有连续时间间隔的簇，仅剩下9个向上漂移的爆发。 发现漂移速率与子爆发有效宽度之间存在负相关关系。 向上漂移的单组分簇通常比向下漂移的簇具有更小的有效宽度、带宽和通量。 对于这些向上漂移的簇，漂移速率随着峰值频率增加而增加。 Kolmogorov-Smirnov检验显示，向上漂移的簇比向下漂移的簇具有更长的连续间隔，表明其背后的机制不同。 显示英文摘要

摘要： This study investigates the morphological classification and drifting rate measurement of the repeating fast radio burst (FRB) source FRB20240114A using the Five-hundred-meter Aperture Spherical Telescope (FAST). Detected on January 14, 2024, FRB20240114A showed an exceptionally high burst rate. During a continuous 15,780-second monitoring session on March 12, 2024, 3,203 bursts (2,109 burst-clusters) were detected. We refine the definitions of sub-bursts, bursts, and burst-clusters. Using an average dispersion measure (DM) of 529.2 pc cm$^{-3}$, burst-clusters were classified into Downward Drifting, Upward Drifting, No Drifting, No Evidence for Drifting, Not-Clear, and Complex categories. Notably, 233 (23.82%) of the 978 drifting burst-clusters showed upward drifting. Excluding 142 upward drifting single-component clusters, the remaining 91 upward drifting double- or multiple-components clusters account for 10.89% of the drifting sample. Further restricting to those with consecutive time intervals, only 9 upward drifting bursts remain. An inverse correlation is found between drifting rate and sub-burst effective width. Upward drifting single-component clusters tend to have smaller effective widths, bandwidths, and fluxes than downward drifting ones. For these upward drifting clusters, drifting rate increases with peak frequency. A Kolmogorov-Smirnov test reveals longer consecutive intervals in upward drifting clusters compared to downward ones, suggesting differing underlying mechanisms.