数字化照相数据中的变星识别
Variable stars identification in digitized photographic data
摘要：
我们确定了339个已知的和316个新的各种类型的变星在250000光变曲线通过数字化167个30 × 30厘米的莫斯科收集的摄影底片。我们使用这些数据进行全面测试的18个统计特征（变异指数），以寻找最好的通用变异检测统计。我们发现，DFT周期图上的最高峰，四分位距，中位数绝对偏差，和Stetson的L指数是最有效的恢复可变对象从我们的测试中使用的一组摄影光变曲线。
英文摘要：
We identify 339 known and 316 new variable stars of various types among 250000 lightcurves obtained by digitizing 167 30x30cm photographic plates of the Moscow collection. We use these data to conduct a comprehensive test of 18 statistical characteristics (variability indices) in search for the best general-purpose variability detection statistic. We find that the highest peak on the DFT periodogram, interquartile range, median absolute deviation, and Stetson's L index are the most efficient in recovering variable objects from the set of photographic lightcurves used in our test.
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。
