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A Large and Pristine Sample of Standard Candles across the Milky Way: ~100,000 Red Clump Stars with 3% Contamination

机译:两种含银的标准蜡烛的大型和原始样品:〜100,000个红丛星星,污染3%

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摘要

Core helium-burning red clump (RC) stars are excellent standard candles in the Milky Way. These stars may have more precise distance estimates from spectrophotometry than from Gaia parallaxes beyond 3 kpc. However, RC stars have values of T_(eff) and log g that are very similar to some red giant branch (RGB) stars. Especially for low-resolution spectroscopic studies where T_(eff), log g, and [Fe/H] can only be estimated with limited precision, separating RC stars from RGB through established methods can incur ~20% contamination. Recently, Hawkins et al. demonstrated that the additional information in single-epoch spectra, such as the C/N ratio, can be exploited to cleanly differentiate RC and RGB stars. In this second paper of the series, we establish a data-driven mapping from spectral flux space to independently determined asteroseismic parameters, the frequency and the period spacing. From this, we identify 210,371 RC stars from the publicly available LAMOST DR3 and APOGEE DR14 data, with ~9% of contamination. We provide an RC sample of 92249 stars with a contamination of only ~3%, by restricting the combined analysis to LAMOST stars with S/N_(pix) ≥ 75. This demonstrates that high-signal-to-noise ratio (S/N), low-resolution spectra covering a broad wavelength range can identify RC samples at least as pristine as their high-resolution counterparts. As coming and ongoing surveys such as TESS, DESI, and LAMOST will continue to improve the overlapping training spectroscopic-asteroseismic sample, the method presented in this study provides an efficient and straightforward way to derive a vast yet pristine sample of RC stars to reveal the three-dimensional (3D) structure of the Milky Way.
机译:核心氦气的红丛(RC)星星是银河系中的优秀标准蜡烛。这些恒星可以从分光光度法具有比从3 kpc的盖亚视差的分光光度法的更精确的距离估计。但是,RC恒星具有T_(eff)和log g的值,它与某些红色巨型分支(RGB)星非常相似。特别是对于T_(EFF),LOG G和[FE / H]只能用有限的精确度估计,从RGB分离RGB的低分辨率光谱研究,通过建立的方法将RC恒星造成〜20%的污染。最近,霍金斯等人。证明单秒钟光谱(例如C / N比)中的附加信息可以利用来干净地区分RC和RGB恒星。在该系列的第二纸中,我们建立从光谱通量空间到独立确定的频道姿态参数,频率和周期间隔的数据驱动映射。由此,我们从公共可用的拉莫斯特DR3和APOGEE DR14数据中识别210,371 RC星,〜9%的污染。我们提供了92249颗恒星的RC样本,污染仅〜3%,通过限制与S / N_(PIX)≥75的液压骨丝恒星的组合分析。这证明了高信噪比(S / N ),覆盖宽波长范围的低分辨率光谱可至少作为其高分辨率对应物识别RC样本。由于诸如苔丝,desi和拉米电池等持续调查,将继续改善重叠的训练光谱 - 炎症姿态样本,本研究中提出的方法提供了一种有效和直接的方式来导出巨大且原始的rc星样本来揭示银河系的三维(3D)结构。

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