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arXiv 1807.07977astro-ph.SRastro-ph.GA
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GALAH巡天:碳增强星和CEMP候选星目录

The GALAH survey: a catalogue of carbon-enhanced stars and CEMP candidates

Klemen Čotar, Tomaž Zwitter, Janez Kos, Ulisse Munari, Sarah L. Martell, Martin Asplund, Joss Bland-Hawthorn, Sven Buder, Gayandhi M. De Silva, Kenneth C. Freem… 展开作者

Klemen Čotar, Tomaž Zwitter, Janez Kos, Ulisse Munari, Sarah L. Martell, Martin Asplund, Joss Bland-Hawthorn, Sven Buder, Gayandhi M. De Silva, Kenneth C. Freeman, Sanjib Sharma, Borja Anguiano, Daniela Carollo, Jonathan Horner, Geraint F. Lewis, David M. Nataf, Thomas Nordlander, Denis Stello, Yuan-Sen Ting, Chris Tinney, Gregor Traven, Rob A. Wittenmyer

摘要:

天鹅带--C $_2$分子的分子吸收特征--是碳增强型恒星的光谱特征。它们也可以用来识别碳增强贫金属(CEMP)恒星。GALAH(与Hermes合作的银河系考古学)是一个对恒星进行的星等有限的调查,产生高分辨率,高信噪比的光谱。我们使用了627,708 GALAH光谱,通过监督和非监督分类算法搜索碳增强型恒星,依赖于天鹅带的印记。我们确定了918颗碳增强型恒星,包括文献中已经描述的12颗。GALAH调查的无偏选择函数使我们能够对碳增强型恒星进行人口研究。他们中的大多数是巨人,其中我们发现28个CEMP候选人。我们的碳增强型恒星中有很大一部分在重复观测中显示出径向速度的变化,这暗示着它们之间有很大一部分变量。其中32颗恒星的光谱也显示出强烈的锂增强。

英文摘要:

Swan bands - characteristic molecular absorption features of the C$_2$ molecule - are a spectroscopic signature of carbon-enhanced stars. They can also be used to identify carbon-enhanced metal-poor (CEMP) stars. The GALAH (GALactic Archaeology with Hermes) is a magnitude-limited survey of stars producing high-resolution, high signal-to-noise spectra. We used 627,708 GALAH spectra to search for carbon-enhanced stars with a supervised and unsupervised classification algorithm, relying on the imprint of the Swan bands. We identified 918 carbon-enhanced stars, including 12 already described in the literature. An unbiased selection function of the GALAH survey allows us to perform a population study of carbon-enhanced stars. Most of them are giants, out of which we find 28 CEMP candidates. A large fraction of our carbon-enhanced stars with repeated observations show variation in radial velocity, hinting that there is a large fraction of variables among them. 32 of the detected stars also show strong Lithium enhancement in their spectra.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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