Identification of new M 31 star cluster candidates from PAndAS images using convolutional neural networks
Identification of new M 31 star cluster candidates from PAndAS images using convolutional neural networks
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使用卷积神经网络从 PAndAS 图像中识别新的 M 31 星团候选者
DOI：
10.1051/0004-6361/202142169
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Zizhao He
中科院分区：
文献类型：
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作者：
Shoucheng Wang;Bingqiu Chen;Jun Ma;Qian Long;Haibo Yuan;Dezi Liu;Zhimin Zhou;Wei Liu;Jiamin Chen;Zizhao He
上下文。在M31星团中识别新的候选星团是研究M31星团系统的基础。机器学习方法卷积神经网络(CNN)是一种从数千万幅广域光度测量图像中寻找新的M31星团候选星团的有效算法。我们通过CNN方法从泛仙女座考古调查(熊猫)获得的21 245 632个来源的高质量g波段和i波段图像中寻找新的M31星系团候选者。我们从文献中收集了确认的M31簇和非簇对象作为我们的训练样本。利用训练样本构建了准确的双通道CNN，并对其进行训练。我们将CNN分类模型应用于2100多万个来源的大熊猫g波段和i波段图像，以搜索新的M31候选星团。CNN的预测最终由五名经验丰富的人类检查员进行了验证，以获得高置信度的M31星团候选结果。检查后，我们确定了117个新的M31群候选目录。大多数新的候选星团都是位于M31盘中的年轻星团。它们的形态、颜色和大小与确认的年轻盘状星团相似。我们还确定了8个球状星团候选者，它们位于M31晕中，表现出与已确认的晕球状星团相似的特征。其中三个到M31中心的预计距离超过100kpc。
Context. Identification of new star cluster candidates in M 31 is fundamental for the study of the M 31 stellar cluster system. The machine-learning method convolutional neural network (CNN) is an efficient algorithm for searching for new M 31 star cluster candidates from tens of millions of images from wide-field photometric surveys..Aims. We search for new M 31 cluster candidates from the high-quality g- and i-band images of 21 245 632 sources obtained from the Pan-Andromeda Archaeological Survey (PAndAS) through a CNN..Methods. We collected confirmed M 31 clusters and noncluster objects from the literature as our training sample. Accurate double-channel CNNs were constructed and trained using the training samples. We applied the CNN classification models to the PAndAS g- and i-band images of over 21 million sources to search new M 31 cluster candidates. The CNN predictions were finally checked by five experienced human inspectors to obtain high-confidence M 31 star cluster candidates..Results. After the inspection, we identified a catalogue of 117 new M 31 cluster candidates. Most of the new candidates are young clusters that are located in the M 31 disk. Their morphology, colours, and magnitudes are similar to those of the confirmed young disk clusters. We also identified eight globular cluster candidates that are located in the M 31 halo and exhibit features similar to those of confirmed halo globular clusters. The projected distances to the M 31 centre for three of them are larger than 100 kpc.