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arXiv 2001.06498astro-ph.SR
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KELT巡天中的长周期高振幅红色变星

Long-Period High-Amplitude Red Variables in the KELT Survey

R. Alex Arnold, M. Virginia McSwain, Joshua Pepper, Patricia A. Whitelock, Nina Hernitschek, David J. James, Rudolf B. Kuhn, Michael B. Lund, Joseph E. Rodrigue… 展开作者

R. Alex Arnold, M. Virginia McSwain, Joshua Pepper, Patricia A. Whitelock, Nina Hernitschek, David J. James, Rudolf B. Kuhn, Michael B. Lund, Joseph E. Rodriguez, Robert J. Siverd, Keivan G. Stassun

摘要:

我们在KELT(Kilodegree Extremely Little Telescope)调查中提供了4,132个Mira类变星(长周期和高振幅的红色变星)的样本。其中,814个是新发现的。我们使用2 MASS颜色来识别候选的渐近巨星分支(AGB)恒星。我们测试了样品之间的光度变化,并使用Lomb-Scargle来确定可变样品的周期性。我们使用随机森林分类器选择具有高振幅和强周期性行为的变量。在4,132个Mira类变量的样本中,我们估计70%是Miras,30%是半正则(SR)变量。我们还采用了使用(W_{RP} - W_{K_s})与(J-K_s)颜色的方法(Lebzelter等人,2018)来区分富O和富C Miras,并发现这是对2 MASS颜色的改进。

英文摘要:

We present a sample of 4,132 Mira-like variables (red variables with long periods and high amplitudes) in the Kilodegree Extremely Little Telescope (KELT) survey. Of these, 814 are new detections. We used 2MASS colors to identify candidate asymptotic giant branch (AGB) stars. We tested for photometric variability among the sample and used Lomb-Scargle to determine the periodicity of the variable sample. We selected variables with high amplitudes and strong periodic behavior using a Random Forest classifier. Of the sample of 4,132 Mira-like variables, we estimate that 70% are Miras, and 30% are semi-regular (SR) variables. We also adopt the method of using (W_{RP} - W_{K_s}) vs. (J - K_s) colors (Lebzelter et al. 2018) in distinguishing between O-rich and C-rich Miras and find it to be an improvement over 2MASS colors.

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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