论文标题
Alerce Broker系统的警报分类：光曲线分类器
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
论文作者
论文摘要
我们介绍了Alerce的第一个版本（自动学习事件的快速分类）经纪光曲线分类器。 Alerce目前正在处理Zwicky瞬态设施（ZTF）警报流，以准备Vera C. Rubin天文台。 Alerce Light曲线分类器使用从ZTF警报流计算的可变性功能，以及从Allwise和ZTF光度法中获得的颜色。我们使用两级方案应用平衡的随机森林算法，其中最高级别将每个源分类为周期性，随机或瞬态，而底层则进一步解决了这些分层类别的每个层次类别，共15个总类别。除了使用实际数据，使用实际数据，该分类器对应于对多个随机变量进行分类的尝试（包括核心和主机为主导的活性银河核，Blazars，Young Stellar对象和灾难性变量）。 We created a labeled set using various public catalogs (such as the Catalina Surveys and {\em Gaia} DR2 variable stars catalogs, and the Million Quasars catalog), and we classify all objects with $\geq6$ $g$-band or $\geq6$ $r$-band detections in ZTF (868,371 sources as of 2020/06/09),每天都通过新警报为来源提供更新的分类。对于最高水平，我们分别获得宏观平均精度和召回得分分别为0.96和0.99，对于底层，我们分别获得了宏观平均精度和召回得分分别为0.57和0.76。可以在\ href {http://alerce.online} {Alerce Explorer网站}上找到来自Light Curve分类器的更新分类。
We present the first version of the ALeRCE (Automatic Learning for the Rapid Classification of Events) broker light curve classifier. ALeRCE is currently processing the Zwicky Transient Facility (ZTF) alert stream, in preparation for the Vera C. Rubin Observatory. The ALeRCE light curve classifier uses variability features computed from the ZTF alert stream, and colors obtained from AllWISE and ZTF photometry. We apply a Balanced Random Forest algorithm with a two-level scheme, where the top level classifies each source as periodic, stochastic, or transient, and the bottom level further resolves each of these hierarchical classes, amongst 15 total classes. This classifier corresponds to the first attempt to classify multiple classes of stochastic variables (including core- and host-dominated active galactic nuclei, blazars, young stellar objects, and cataclysmic variables) in addition to different classes of periodic and transient sources, using real data. We created a labeled set using various public catalogs (such as the Catalina Surveys and {\em Gaia} DR2 variable stars catalogs, and the Million Quasars catalog), and we classify all objects with $\geq6$ $g$-band or $\geq6$ $r$-band detections in ZTF (868,371 sources as of 2020/06/09), providing updated classifications for sources with new alerts every day. For the top level we obtain macro-averaged precision and recall scores of 0.96 and 0.99, respectively, and for the bottom level we obtain macro-averaged precision and recall scores of 0.57 and 0.76, respectively. Updated classifications from the light curve classifier can be found at the \href{http://alerce.online}{ALeRCE Explorer website}.
