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Exploring the SDSS Dataset with Linked Scatter Plots: I. EMP CEMP and CV Stars

机译:使用链接的散点图探索SDSS数据集:I。EMPCEMP和CV星

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摘要

We present the results of a search for EMP, CEMP, and cataclysmic variable stars using a new exploration tool based on linked scatter plots (LSPs). Our approach is especially designed to work with very large spectrum data sets such as the SDSS, LAMOST, RAVE, and Gaia data sets and can be applied to stellar, galaxy, and quasar spectra. As a demonstration, we conduct a search for EMP, CEMP, and cataclysmic variable stars in the SDSS DR10 data set. We first created a 3326-dimensional phase space containing nearly 2 billion measures of the strengths of over 1600 spectral features in 569,738 SDSS stars. These measures capture essentially all the stellar atomic and molecular species visible at the resolution of SDSS spectra. We show how LSPs can be used to quickly isolate and examine interesting portions of this phase space. To illustrate, we use LSPs coupled with cuts in selected portions of phase space to extract EMP stars, C-rich EMP stars, and CV stars. We present identifications for 59 previously unrecognized candidate EMP stars and 11 previously unrecognized candidate CEMP stars. We also call attention to 2 candidate He II emission CV stars found by the LSP approach that have not yet been discussed in the literature.
机译:我们介绍了使用基于链接散点图(LSP)的新探索工具对EMP,CEMP和大地变星进行搜索的结果。我们的方法经过专门设计,可用于非常大的光谱数据集,例如SDSS,LAMOST,RAVE和Gaia数据集,并且可应用于恒星,星系和类星体光谱。作为演示,我们在SDSS DR10数据集中搜索EMP,CEMP和大灾变星。我们首先创建了一个3326维相空间,其中包含569,738个SDSS星中1600多个光谱特征强度的近20亿个度量。这些措施捕获了所有在SDSS光谱分辨率下可见的恒星原子和分子种类。我们展示了如何使用LSP快速隔离和检查此相空间的有趣部分。为了说明,我们将LSP与相空间的选定部分中的切口结合使用,以提取EMP星,富C EMP星和CV星。我们提供了59个先前无法识别的候选EMP恒星和11个先前无法识别的候选CEMP恒星的识别。我们还提请注意通过LSP方法发现的2个候选He II发射CV星,这些文献中尚未讨论过。

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