The ASAS-SN Catalog of Variable Stars II: Uniform Classification of 412,000 Known Variables
The ASAS-SN Catalog of Variable Stars II: Uniform Classification of 412,000 Known Variables
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DOI：
10.1093/mnras/stz844
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发表时间：
2018-09
影响因子：
4.8
通讯作者：
T. Jayasinghe;K. Stanek;C. Kochanek;B. Shappee;T. Holoien;T. Thompson;J. Prieto;J. Prieto;
中科院分区：
文献类型：
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作者：
T. Jayasinghe;K. Stanek;C. Kochanek;B. Shappee;T. Holoien;T. Thompson;J. Prieto;J. Prieto;
VSX星表中的变星来源于大量不均匀的数据源和分类工具。这种不均匀性使我们对可变星星类型、统计数据和属性的理解变得复杂，它直接影响了为当前（和下一代）全天时域调查构建训练集的尝试。我们均匀地分析ASAS-SN的V波段光变曲线的412，000 $变量从VSX目录。使用更新的随机森林分类器对变量进行分类，其中$F_1$得分为99.4%，并且细化标准用于个体分类。我们已经为VSX星表中缺少周期的44，000个变量推导出周期，并将17，000个源重新分类为具有高置信度的新的广泛可变性组。我们还重新分类了${\sim} 94，000 $已知变量与杂项/通用分类。光变曲线、分类和变星的一系列属性都可以通过ASAS-SN变星数据库（https URL）获得。我们还包括一组${\sim}4,000$稀有变量和瞬态源，包括激变变量，共生双星和耀斑星的V波段光变曲线。
The variable stars in the VSX catalog are derived from a multitude of inhomogeneous data sources and classification tools. This inhomogeneity complicates our understanding of variable star types, statistics, and properties, and it directly affects attempts to build training sets for current (and next) generation all-sky, time-domain surveys. We homogeneously analyze the ASAS-SN V-band light curves of ${\sim}412,000$ variables from the VSX catalog. The variables are classified using an updated random forest classifier with an $F_1$ score of 99.4% and refinement criteria for individual classifications. We have derived periods for ${\sim}44,000$ variables in the VSX catalog that lack a period, and have reclassified ${\sim} 17,000$ sources into new broad variability groups with high confidence. We have also reclassified ${\sim} 94,000$ known variables with miscellaneous/generic classifications. The light curves, classifications, and a range of properties of the variables are all available through the ASAS-SN variable stars database (this https URL). We also include the V-band light curves for a set of ${\sim}4,000$ rare variables and transient sources, including cataclysmic variables, symbiotic binaries and flare stars.