论文标题

以银河系为金属贫困之星的采矿S-Plus

Mining S-PLUS for Metal-Poor Stars in the Milky Way

论文作者

Placco, Vinicius M., Almeida-Fernandes, Felipe, Arentsen, Anke, Lee, Young Sun, Schoenell, William, Ribeiro, Tiago, Kanaan, Antonio

论文摘要

这项工作介绍了来自南部光度局部宇宙调查(S-Plus)的522个低金属性星候选者(S-Plus)的中等分辨率($ r \ sim 1,500 $)。利用金属敏感的S-Plus颜色,从窄带光度法中选择对象。分别使用宇宙和GMOS光谱仪的Blanco和Gemini South望远镜进行了后续观察。为程序明星计算了恒星大气参数(t $ _ {\ rm eff} $,log $ g $和[fe/h])以及碳和$α$ - 元素丰度,以评估颜色选择的效率。结果表明,观察到的星星的$ 92^{+2} _ { - 3} \%$具有[Fe/H] $ \ leq -1.0 $,$ 83^{+3} _ { - 3} \%$ ake ake ake [fe/H] -3.0 $,包括两颗超金属贫困星([fe/h] $ \ leq -4.0 $)。观察到的样品的金属累积分布函数的第80个百分位数为[fe/h] $ = -2.04 $。该样品还包括68种碳增强金属贫困(CEMP)星。根据计算出的金属性,提出了进一步的Splus,提出了颜色剪裁,这可以分别以[Fe/H] $ \ LEQ -1.0 $和$ \ LEQ -2.0 $到$ 98 \%\%$和$ 88 \%$增加星星的分数。如此高的成功率实现了有针对性的高分辨率光谱随访工作,并为纤维馈线的多重光谱调查提供了选择标准。

This work presents the medium-resolution ($R \sim 1,500$) spectroscopic follow-up of 522 low-metallicity star candidates from the Southern Photometric Local Universe Survey (S-PLUS). The objects were selected from narrow-band photometry, taking advantage of the metallicity-sensitive S-PLUS colors. The follow-up observations were conducted with the Blanco and Gemini South telescopes, using the COSMOS and GMOS spectrographs, respectively. The stellar atmospheric parameters (T$_{\rm eff}$, log$g$, and [Fe/H]), as well as carbon and $α$-element abundances, were calculated for the program stars in order to assess the efficacy of the color selection. Results show that $92^{+2}_{-3}\%$ of the observed stars have [Fe/H]$\leq -1.0$, $83^{+3}_{-3}\%$ have [Fe/H]$\leq -2.0$, and $15^{+3}_{-3}\%$ have [Fe/H]$\leq -3.0$, including two ultra metal-poor stars ([Fe/H]$\leq -4.0$). The 80th percentile for the metallicity cumulative distribution function of the observed sample is [Fe/H]$= -2.04$. The sample also includes 68 Carbon-Enhanced Metal-Poor (CEMP) stars. Based on the calculated metallicities, further S-PLUS, color cuts are proposed, which can increase the fractions of stars with [Fe/H]$\leq -1.0$ and $\leq -2.0$ to $98\%$ and $88\%$, respectively. Such high success rates enable targeted high-resolution spectroscopic follow-up efforts, as well as provide selection criteria for fiber-fed multiplex spectroscopic surveys.

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