论文标题

用其出色的簇描绘银河盘的肖像

Painting a portrait of the Galactic disc with its stellar clusters

论文作者

Cantat-Gaudin, T., Anders, F., Castro-Ginard, A., Jordi, C., Romero-Gomez, M., Soubiran, C., Casamiquela, L., Tarricq, Y., Moitinho, A., Vallenari, A., Bragaglia, A., Krone-Martins, A., Kounkel, M.

论文摘要

盖亚任务进行的大型天文和光度调查允许在银河盘及其出色的簇种群中进行全面视图。仅在最新的G数据释放(DR2)之后才发现数百个簇,尚未表征。在这里,我们利用深层和均匀的Gaia光度法向下g = 18,以估计用Gaia〜DR2 Astrometry标识的约2000个簇的距离,年龄和星际红色。我们使用这些对象研究银河盘的结构和演变。我们依靠文献中具有确定参数的一组对象来训练人工神经网络,以从群集成员的Gaia光度法及其平均视差估算参数。我们获得了1867年簇的可靠参数。我们的新均匀目录证实了内盘中相对缺乏旧簇(有一些值得注意的例外)。我们还量化并讨论了随着群集年龄的比例高度的变化,并在旧簇的分布中检测出银河翘曲。这项工作导致大型均匀的集群目录。但是,目前的样品仍然无法追踪银河系的外螺旋臂,这表明外盘群集普查仍然可能不完整。

The large astrometric and photometric survey performed by the Gaia mission allows for a panoptic view of the Galactic disc and in its stellar cluster population. Hundreds of clusters were only discovered after the latest G data release (DR2) and have yet to be characterised. Here we make use of the deep and homogeneous Gaia photometry down to G=18 to estimate the distance, age, and interstellar reddening for about 2000 clusters identified with Gaia~DR2 astrometry. We use these objects to study the structure and evolution of the Galactic disc. We rely on a set of objects with well-determined parameters in the literature to train an artificial neural network to estimate parameters from the Gaia photometry of cluster members and their mean parallax. We obtain reliable parameters for 1867 clusters. Our new homogeneous catalogue confirms the relative lack of old clusters in the inner disc (with a few notable exceptions). We also quantify and discuss the variation of scale height with cluster age, and detect the Galactic warp in the distribution of old clusters. This work results in a large and homogenous cluster catalogue. However, the present sample is still unable to trace the Outer spiral arm of the Milky Way, which indicates that the outer disc cluster census might still be incomplete.

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