The Spectroscopic Binaries from the LAMOST Medium-resolution Survey. I. Searching for Double-lined Spectroscopic Binaries with a Convolutional Neural Network
The Spectroscopic Binaries from the LAMOST Medium-resolution Survey. I. Searching for Double-lined Spectroscopic Binaries with a Convolutional Neural Network
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LAMOST 中分辨率巡天的光谱双星。
DOI：
10.3847/1538-4365/ac42d1
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发表时间：
2021-12
期刊：
影响因子：
--
通讯作者：
Jiao Li
中科院分区：
文献类型：
--
作者：
Bo Zhang;Ying-Jie Jing;Fan Yang;Jun-Chen Wan;Xin Ji;Jian-Ning Fu;Chao Liu;Xiao-Bin Zhang;Feng Luo;Hao Tian;Yu-Tao Zhou;Jia-Xin Wang;Yan-Jun Guo;Weikai Zong;Jian-Ping Xiong;Jiao Li
抽象的。我们开发了一个卷积神经网络模型，以单曝光中分辨率光谱(R∼7500)为基础，将双线光谱双星(SB2)与其他双线光谱双星区分开来。训练集由大量的单星和双星的模拟光谱组成，这些光谱是根据MIST恒星演化模型和ATLAS9大气模型合成的。我们的模型通过对阴性样本添加适当的惩罚(例如，当惩罚参数Λ=16时，对于蓝/红臂分别为0.12%和0.16%)，达到了新的理论假阳性率。测试表明，性能达到了预期，有利于FGK型主序(MS)双星，具有高质量比(Q≥0.7%)和大的径向速度分离(Δv≥50 KM S−1)。虽然真实的假阳性率不能可靠地估计，但对从开普勒光曲线识别的日食双星的验证表明，我们的模型预测了日食阶段(0，0.5和1.0)的低双星概率。颜色-星等图也有助于说明它从光谱中识别FGK MS双星的可行性和能力。我们的结论是，该模型是合理可靠的，可以提供一种自动识别周期为≲10天的SB2的方法。这项工作产生了来自LAMOST中分辨率调查(MRS)的100万个源的500多万个光谱的双星概率目录，以及将在后续论文中分析其物理性质的2198个SB2候选者的目录。数据产品在网上和我们的Github网站上公开提供。
Abstract. We developed a convolutional neural network model to distinguish the double-lined spectroscopic binaries (SB2s) from others based on single-exposure medium-resolution spectra (R ∼ 7500). The training set consists of a large set of mock spectra of single stars and binaries synthesized based on the MIST stellar evolutionary model and ATLAS9 atmospheric model. Our model reaches a novel theoretic false-positive rate by adding a proper penalty on the negative sample (e.g., 0.12% and 0.16% for the blue/red arm when the penalty parameter Λ = 16). Tests show that the performance is as expected and favors FGK-type main-sequence (MS) binaries with high mass ratio (q ≥ 0.7) and large radial velocity separation (Δv ≥ 50 km s−1). Although the real false-positive rate cannot be estimated reliably, validating on eclipsing binaries identified from Kepler light curves indicates that our model predicts low binary probabilities at eclipsing phases (0, 0.5, and 1.0) as expected. The color–magnitude diagram also helps illustrate its feasibility and capability of identifying FGK MS binaries from spectra. We conclude that this model is reasonably reliable and can provide an automatic approach to identify SB2s with period ≲10 days. This work yields a catalog of binary probabilities for over 5 million spectra of 1 million sources from the LAMOST medium-resolution survey (MRS) and a catalog of 2198 SB2 candidates whose physical properties will be analyzed in a follow-up paper. Data products are made publicly available online, as well as our Github website.
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DOI：
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发表时间：
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发表时间：
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期刊：
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