论文标题
在Gaia Dr2中搜索行星星云的中央恒星
Searching for central stars of planetary nebulae in Gaia DR2
论文作者
论文摘要
背景：准确的距离测量是行星星云（PNE）的研究至关重要的，但长期以来一直难以捉摸。银河pne的最准确和模型无关的距离测量来自其中心恒星的三角类似物，在盖亚任务之前，它们仅适用于几十个物体。 目的：盖亚源目录中PN中心恒星的准确鉴定是利用盖亚测得的三角差距的前所未有的范围和精度。我们的目的是建立具有最小污染的PN中央恒星检测样本。 方法：我们根据可能性比率方法开发和应用自动化技术，将Gaia数据版本2（DR2）中的候选中心明星匹配到香港/AAO/Strasbourg H $α$（Hash）pn催化中的已知pne，并考虑到\ emph的bp-rp颜色，从\ emph conterce中考虑了nebe conse ne ne secors and necect。这些真正的中央恒星和背景源的参数分布是直接从数据中推断出来的。 结果：我们提出了一个超过1000个GAIA源的目录，我们的方法自动鉴定为PN中央恒星。我们演示了最佳匹配如何使我们能够追踪星云和中央星星的演变并验证现有的统计距离尺度，并根据其他数据讨论进一步完善匹配的前景。我们还将目录的准确性与以前的作品的准确性进行了比较。
Context: Accurate distance measurements are fundamental to the study of Planetary Nebulae (PNe) but have long been elusive. The most accurate and model-independent distance measurements for galactic PNe come from the trigonometric parallaxes of their central stars, which were only available for a few tens of objects prior to the Gaia mission. Aims: Accurate identification of PN central stars in the Gaia source catalogues is a critical prerequisite for leveraging the unprecedented scope and precision of the trigonometric parallaxes measured by Gaia. Our aim is to build a complete sample of PN central star detections with minimal contamination. Methods: We develop and apply an automated technique based on the likelihood ratio method to match candidate central stars in Gaia Data Release 2 (DR2) to known PNe in the Hong Kong/AAO/Strasbourg H$α$ (HASH) PN catalogue, taking into account the BP--RP colours of the \emph{Gaia} sources as well as their positional offsets from the nebula centres. These parameter distributions for both true central stars and background sources are inferred directly from the data. Results: We present a catalogue of over 1000 Gaia sources that our method has automatically identified as likely PN central stars. We demonstrate how the best matches enable us to trace nebula and central star evolution and to validate existing statistical distance scales, and discuss the prospects for further refinement of the matching based on additional data. We also compare the accuracy of our catalogue to that of previous works.
