ALeRCE 光变曲线分类器：潮汐瓦解事件扩展包
ALeRCE light curve classifier: Tidal disruption event expansion pack
AI总结：
本文更新了 ALeRCE 光变曲线分类器，新增潮汐瓦解事件子类，通过 24 个新特征和扩展标记集，以 91% 召回率识别 TDE，并提升整体分类性能。
AI中文摘要：
ALeRCE（快速事件分类自动学习）处理兹威基瞬变设施（ZTF）的警报流，为维拉·C·鲁宾天文台做准备，使用广泛的分类法对天体进行分类。ALeRCE 光变曲线分类器是一种平衡随机森林（BRF）算法，采用两级方案，利用来自 ZTF 警报流的变异性特征以及来自 AllWISE 和 ZTF 测光的颜色。本工作介绍了 ALeRCE 经纪人光变曲线分类器的更新版本，该版本将潮汐瓦解事件（TDEs）作为一个新的子类。我们加入了 24 个新特征，包括到 ZTF 科学图像中检测到的最近源的距离，以及瞬变事件幂律衰减的参数模型。标记集扩展到 219792 个光谱分类源，包括 60 个 TDE。为了将 TDE 整合到 ALeRCE 的分类法中，我们确定了将它们与其他瞬变事件区分开来的具体特征：它们在星系中的中心位置、完全瓦解时典型的衰减模式，以及瓦解后缺乏颜色变异性。我们开发了特征以将 TDE 与其他瞬变事件分开。更新后的分类器在所有类别上的性能均有所提升，并将 TDE 类以 91% 的召回率整合进来。它还在 ZTF 警报流的未标记数据中识别出大量潜在的 TDE 候选体。
英文摘要：
ALeRCE (Automatic Learning for the Rapid Classification of Events) processes the Zwicky Transient Facility (ZTF) alert stream in preparation for the Vera C. Rubin Observatory, classifying objects using a broad taxonomy. The ALeRCE light curve classifier is a balanced random forest (BRF) algorithm with a two-level scheme that uses variability features from the ZTF alert stream and colors from AllWISE and ZTF photometry. This work presents an updated version of the ALeRCE broker light curve classifier that includes tidal disruption events (TDEs) as a new subclass. We incorporated 24 new features, including the distance to the nearest source detected in ZTF science images and a parametric model of the power-law decay for transients. The labeled set was expanded to 219792 spectroscopically classified sources, including 60 TDEs. To integrate TDEs into ALeRCE's taxonomy, we identified specific characteristics that distinguish them from other transients: their central position in a galaxy, their typical decay pattern when fully disrupted, and their lack of color variability after disruption. We developed features to separate TDEs from other transient events. The updated classifier improves performance across all classes and integrates the TDE class with 91 percent recall. It also identifies a large number of potential TDE candidates in the ZTF alert stream's unlabeled data.
