论文标题
使用GAIA数据释放2识别候选光学变量2
Identifying Candidate Optical Variables Using Gaia Data Release 2
论文作者
论文摘要
盖亚（Gaia）正在对星系进行深入的天气调查，但是迄今为止，来自单个时期的光度法仅以最少的来源释放。我们表明，鉴于它们的亮度和观察次数，可以通过选择具有出乎意料的大光度不确定性的恒星来识别Gaia数据释放2中的可变恒星。通过将我们的结果与变量的现有目录进行比较，我们表明有关变异性幅度的信息也隐含在Gaia光度不确定性中。我们提供了约930万候选变量星的目录，并讨论其未来测试和扩展的局限性和前景。
Gaia is undertaking a deep synoptic survey of the Galaxy, but photometry from individual epochs has, as of yet, only been released for a minimal number of sources. We show that it is possible to identify variable stars in Gaia Data Release 2 by selecting stars with unexpectedly large photometric uncertainties given their brightness and number of observations. By comparing our results to existing catalogs of variables, we show that information on the amplitude of variability is also implicitly present in the Gaia photometric uncertainties. We present a catalog of about 9.3 million candidate variable stars, and discuss its limitations and prospects for future tests and extensions.
