AI 中文总结
该研究利用卷积自动编码器无监督分类器对CHIME/FRB数据进行形态分类，识别出三类不同暴及两类特殊短宽带暴子群，还提供FRB重复性分类，能正确识别大部分重复暴，独立恢复特定暴形态，发现重复暴与一次性暴形态属性有重叠。
AI 中文摘要
理解快速射电暴（FRB）的形态以及所有源是否重复，是关键挑战。随着如加拿大氢强度映射实验FRB项目（CHIME/FRB）等调查数据增加，这些挑战更易处理。我们提出一种卷积自动编码器无监督分类器，将CHIME/FRB数据分为形态类别。该数据驱动方法比目视检查更具可重复性。我们识别出三类与一般FRB群体不同的暴。还提供二元FRB重复性分类，在模拟上训练分类，能正确识别86%的重复暴。我们的方法能独立恢复先前目视检查定义的向下线性漂移暴形态。总体而言，重复暴和一次性暴的形态属性有大量重叠。
英文摘要
Understanding the morphology of fast radio bursts (FRB), and whether all sources repeat, are key challenges that are becoming more tractable given the increase in data from surveys such as the Canadian Hydrogen Intensity Mapping Experiment FRB project (CHIME/FRB). We present a Convolutional Autoencoder unsupervised classifier for separating the CHIME/FRB data into morphological classes. This data-driven approach is more reproducible than visual inspection, since groupings are learned from the data itself and not subject to differences between expert annotations. While most bursts occupy a similar area of morphological parameter space, we identify three classes of bursts separate from the general FRB population. While one class contains bursts with short bandwidth, and downward-drifting sub-burst structure, the characteristic bursts of other classes have very short temporal width, and occupy the entire CHIME observing band. We identify two distinct subgroups of temporally short, simple broadband bursts; one with minimal scattering and the other with higher scattering. As an additional output of our classifier, we provide a binary FRB repeatability classification, and train the classifications on simulations that mimic the first FRB catalogue from CHIME/FRB. We are able to correctly identify 86$\%$ of repeater bursts. We find that our approach is able to independently recover the downward linear drifting burst morphologies previously defined through visually inspection. Overall, we find that although there exists FRB subgroups with higher or lower proportion of repeaters, there is substantial overlap between the morphological properties of repeaters and one-off bursts consistent with previous studies.
Comments18 pages + 4 supplementary, 10 figures + 2 supplementary
