SuperWASP variable stars: classifying light curves using citizen science
SuperWASP variable stars: classifying light curves using citizen science
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DOI：
10.1093/mnras/stab140
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发表时间：
2021-01
影响因子：
4.8
通讯作者：
Heidi B. Thiemann;A. Norton;H. Dickinson;Adam McMaster;U. Kolb
中科院分区：
文献类型：
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作者：
Heidi B. Thiemann;A. Norton;H. Dickinson;Adam McMaster;U. Kolb
我们首次对SuperWASP变星Zooniverse项目的结果进行了分析，该项目旨在将SuperWASP全天巡天观测到的160万条候选恒星变量的相位折叠光曲线与SuperWASP周期目录中检测到的周期进行分类。产生的数据集目前包含100万个分类，对应于由公民-科学家志愿者提供的500,000个对象-时期组合。志愿者分类的光曲线对于分离和半连接的日食双星具有∼89%的准确率，但对于旋转调制变量的准确率仅为∼9%，基于已知对象。我们证明这个Zooniverse项目对于个体变量类型的种群研究和后续恒星变量的识别都将是有价值的。我们给出了分析中各种独特和极端变量的初步发现，包括长周期接触双星和短周期截止点附近的双星，并确定了301个以前未知的双星和脉动星。我们现在正在开发一个门户网站，以使其他研究人员能够访问SuperWASP变星项目的成果。
We present the first analysis of results from the SuperWASP variable stars Zooniverse project, which is aiming to classify 1.6 million phase-folded light curves of candidate stellar variables observed by the SuperWASP all sky survey with periods detected in the SuperWASP periodicity catalogue. The resultant data set currently contains >1 million classifications corresponding to >500 000 object–period combinations, provided by citizen–scientist volunteers. Volunteer-classified light curves have ∼89 per cent accuracy for detached and semidetached eclipsing binaries, but only ∼9 per cent accuracy for rotationally modulated variables, based on known objects. We demonstrate that this Zooniverse project will be valuable for both population studies of individual variable types and the identification of stellar variables for follow-up. We present preliminary findings on various unique and extreme variables in this analysis, including long-period contact binaries and binaries near the short-period cut-off, and we identify 301 previously unknown binaries and pulsators. We are now in the process of developing a web portal to enable other researchers to access the outputs of the SuperWASP variable stars project.