YSOVAR：猎户座星云团中的六个主序前食双星
YSOVAR: Six pre-main-sequence eclipsing binaries in the Orion Nebula Cluster
摘要：
恒星双星（EBs）为恒星结构和演化的理论模型的预测提供了重要的实验室。前主序（PMS）EB是特别有价值的，这是因为它们的稀有性和PMS演变的高度动态性，使得需要一个密集的PMS EB网格来正确校准理论PMS模型。分析了2400颗来自温暖斯皮策探测科学计划YSOVAR的猎户座星云团（ONC）候选成员的多历元、多色光变曲线，确定了12颗光变曲线显示日食特征的恒星。这12个EB中有4个是以前已知的。通过后续光学和近红外光谱补充我们的光变曲线，我们将其中两个候选者确定为位于ONC后面的可能场EB。然而，我们确认剩余的六个候选系统为新识别的ONC PMS EB。这些系统使已知的PMS EB的数量增加了50%以上，并包括目前已知的最高质量（Theta 1 Ori E，我们提供了一套完整的确定参数，包括2.807和2.797太阳质量的组件质量）和最长周期（ISOY J053505.71-052354.1，P \sim 20天）PMS EB。在两种情况下（θ 1 Ori E和ISOY J053526.88-044730.7），存在足够的光度和光谱数据来尝试轨道解并导出系统参数。对于其余的系统，我们将我们的数据与文献信息相结合，以提供足以指导这些罕见的基准系统的后续调查的初步表征。
英文摘要：
Eclipsing binaries (EBs) provide critical laboratories for empirically testing predictions of theoretical models of stellar structure and evolution. Pre-main-sequence (PMS) EBs are particularly valuable, both due to their rarity and the highly dynamic nature of PMS evolution, such that a dense grid of PMS EBs is required to properly calibrate theoretical PMS models. Analyzing multi-epoch, multi-color light curves for 2400 candidateOrion Nebula Cluster (ONC) members from our Warm Spitzer Exploration Science Program YSOVAR, we have identified 12 stars whose light curves show eclipse features. Four of these 12 EBs are previously known. Supplementing our light curves with follow-up optical and near-infrared spectroscopy, we establish two of the candidates as likely field EBs lying behind the ONC. We confirm the remaining six candidate systems, however, as newly identified ONC PMS EBs. These systems increase the number of known PMS EBs by over 50% and include the highest mass (Theta1 Ori E, for which we provide a complete set of well-determined parameters including component masses of 2.807 and 2.797 solar masses) and longest period (ISOY J053505.71-052354.1, P \sim 20 days) PMS EBs currently known. In two cases (Theta1 Ori E and ISOY J053526.88-044730.7), enough photometric and spectroscopic data exist to attempt an orbit solution and derive the system parameters. For the remaining systems, we combine our data with literature information to provide a preliminary characterization sufficient to guide follow-up investigations of these rare, benchmark systems.
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