Searching for Molecular Outflows with Support Vector Machines: The Dark Cloud Complex in Cygnus
Searching for Molecular Outflows with Support Vector Machines: The Dark Cloud Complex in Cygnus
复制标题
用支持向量机搜索分子流出：天鹅座的暗云复合体
DOI：
10.3847/1538-4365/ab879a
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Dengrong Lu
中科院分区：
文献类型：
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作者：
Shaobo Zhang;Ji Yang;Ye Xu;Xuepeng Chen;Yang Su;Yan Sun;Xin Zhou;Yingjie Li;Dengrong Lu
我们提出了一个调查的分子流出整个暗云复杂的天鹅座地区，基于46.75 deg2领域的CO同位素数据从银河系成像卷轴绘画调查。一种有监督的机器学习算法，支持向量机，被引入到加速我们对12CO和13CO J = 1−0排放数据立方体中流出特征的视觉评估中。共识别出130个流出候选者，其中77个显示双极结构，118个是新的检测。在空间上，这些外流位于密集的分子云内部，其中一些被发现在集群或细长的线性结构跟踪底层的气体细丝形态。沿着视线，分别有97、31和2个候选者居住在本地、英仙座和外臂。年轻的恒星物体作为外流驱动器被发现在大多数外流附近，而36个候选者没有相关的来源。我们检测到的外流集群是不均匀的，在他们的属性，然而，我们表明，外流不能注入云尺度上的湍流能量。相反，它们充其量只限于影响所谓的“集群”和“核心”规模，而且只在很短的估计时间尺度上（1030万年）。结合文献中的流出样本，我们的工作表明了紧密的流出质量尺寸相关性。
We present a survey of molecular outflows across the dark cloud complex in the Cygnus region, based on a 46.75 deg2 field of CO isotopologue data from the Milky Way Imaging Scroll Painting survey. A supervised machine-learning algorithm, the support vector machine, is introduced to accelerate our visual assessment of outflow features in the data cube of 12CO and 13CO J = 1−0 emission. A total of 130 outflow candidates are identified, 77 of which show bipolar structures and 118 are new detections. Spatially, these outflows are located inside dense molecular clouds, and some of them are found in clusters or in elongated linear structures tracing the underlying gas filament morphology. Along the line of sight, 97, 31, and 2 candidates reside in the Local, Perseus, and Outer Arms, respectively. Young stellar objects as outflow drivers are found near most outflows, while 36 candidates show no associated source. The clusters of outflows that we detect are inhomogeneous in their properties; nevertheless, we show that the outflows cannot inject turbulent energy on cloud scales. Instead, at best, they are restricted to affecting the so-called “clump” and “core” scales, and only on short (∼0.3 Myr) estimated timescales. Combined with outflow samples in the literature, our work shows a tight outflow mass–size correlation.