Solutions for 10,000 Eclipsing Binaries in the Bulge Fields of OGLE II Using DEBiL
Solutions for 10,000 Eclipsing Binaries in the Bulge Fields of OGLE II Using DEBiL
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DOI：
10.1086/431170
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发表时间：
2005-04
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影响因子：
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通讯作者：
J. Devor
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文献类型：
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作者：
J. Devor
我们已经开发了一个全自动的管道，系统地识别和分析食二进制在大数据集的光变曲线。管道由多层组成，使光变曲线受到越来越多的审查。在每个层之后，不符合给定标准的光变曲线被过滤出管道，从而减少了以下计算密集型层的负载。作为流水线的核心组件，我们创建了全自动分离式双光曲线拟合器（DEBiL），它可以快速地将大量光曲线拟合到一个简单的模型中。使用DEBiL的结果，可以标记感兴趣的光变曲线以进行后续分析。作为一个测试案例，我们分析了OGLE II调查的凸起区域内的218，699条光变曲线，并产生了10，862个模型拟合。我们指出了少数极端的例子，以及在几个人口分布中发现的意想不到的结构。随着光变曲线数据集的规模和数量不断增长，我们预计这种方法将变得越来越重要。
We have developed a fully automated pipeline for systematically identifying and analyzing eclipsing binaries within large data sets of light curves. The pipeline is made up of multiple tiers that subject the light curves to increasing levels of scrutiny. After each tier, light curves that did not conform to a given criteria were filtered out of the pipeline, reducing the load on the following, more computationally intensive tiers. As a central component of the pipeline, we created the fully automated Detached Eclipsing Binary Light curve fitter (DEBiL), which rapidly fits large numbers of light curves to a simple model. Using the results of DEBiL, light curves of interest can be flagged for follow-up analysis. As a test case, we analyzed the 218,699 light curves within the bulge fields of the OGLE II survey and produced 10,862 model fits. We point out a small number of extreme examples, as well as unexpected structure found in several of the population distributions. We expect this approach to become increasingly important as light-curve data sets continue growing in both size and number.