依巴谷变星的检测与分类效率
Hipparcos Variable Star Detection and Classification Efficiency
摘要：
建立了一个完整的周期星提取和分类方案，并利用依巴谷星表进行了检验。通过将结果与来自目录或文献的先验知识进行比较，得出每个步骤的效率。在第一步中应用两个可变性标准的组合，从115 - 152颗星的完整样本中选择17 006个可变性候选人。我们的候选样本原来包括10 406个已知变量（即，90%的总数11 597）和6600污染恒星。在第二步中使用随机森林分类提取1881（82%）已知的周期性天体，同时从样本中去除完全恒定的恒星，并将非周期性变量的污染限制在152颗恒星（7.5%）。这152个非周期性变星引起的混淆在第三步中使用先前研究中提出的依巴谷周期星分类结果进行评估（Dubath等人[1]）。
英文摘要：
A complete periodic star extraction and classification scheme is set up and tested with the Hipparcos catalogue. The efficiency of each step is derived by comparing the results with prior knowledge coming from the catalogue or from the literature. A combination of two variability criteria is applied in the first step to select 17 006 variability candidates from a complete sample of 115 152 stars. Our candidate sample turns out to include 10 406 known variables (i.e., 90% of the total of 11 597) and 6600 contaminating constant stars. A random forest classification is used in the second step to extract 1881 (82%) of the known periodic objects while removing entirely constant stars from the sample and limiting the contamination of non-periodic variables to 152 stars (7.5%). The confusion introduced by these 152 non-periodic variables is evaluated in the third step using the results of the Hipparcos periodic star classification presented in a previous study (Dubath et al. [1]).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
