论文标题

通过光谱镜确认的Gaia选择的样品,包括$ \ sim $ 200 PC内的318个新的年轻明星

A spectroscopically confirmed Gaia-selected sample of 318 new young stars within $\sim$200 pc

论文作者

Žerjal, Maruša, Rains, Adam D., Ireland, Michael J., Zhou, George, Kammerer, Jens, Wallace, Alex, Orenstein, Brendan, Nordlander, Thomas, Abbot, Harrison, Chang, Seo-Won

论文摘要

在盖亚时代,太阳街区的大多数恒星都具有视差和正确的动作,而光谱年龄指标仍然缺少大量的低质量年轻恒星。在这项工作中,我们在南部天空中选择了756个肿胀的K和早期的M Young Star候选人,并使用Echelle(r = 24,000)和广阔的田间光谱仪(WIFES,wifes,r = 3000-7000)在壁板弹簧天文台的ANU 230万望远镜观察它们。我们的选择在运动学上是无偏见的,可以最大程度地减少对首先消散的恒星关联的低质量成员的偏好,并包括弥漫组成部分的潜在成员。我们提供了H $α$和钙H&K排放以及锂吸收系的测量值,以鉴定像$ \ sim $ \ sim $ 10-30 Myr,这是恒星关联的典型年龄。我们报告了346颗恒星,显示了可检测到的锂系,其中318条在已知的年轻恒星目录中找不到。我们还报告了样本中的126个恒星,这些恒星没有可检测到的锂,但表明年轻人的恒星活动的迹象。径向速度是针对Wifes光谱的3.2 $ \ MATHRM {km \; s^{ - 1}} $和1.5 $ \ MATHRM {km \; s^{ - 1}} $的精度。

In the Gaia era, the majority of stars in the Solar neighbourhood have parallaxes and proper motions precisely determined while spectroscopic age indicators are still missing for a large fraction of low-mass young stars. In this work we select 756 overluminous late K and early M young star candidates in the southern sky and observe them over 64 nights with the ANU 2.3m Telescope at Siding Spring Observatory using the Echelle (R=24,000) and Wide Field spectrographs (WiFeS, R=3000-7000). Our selection is kinematically unbiased to minimize the preference against low-mass members of stellar associations that dissipate first, and to include potential members of diffuse components. We provide measurements of H$α$ and calcium H&K emission, as well as lithium absorption line, that enable identification of stars as young as $\sim$10-30 Myr which is a typical age of a stellar association. We report on 346 stars showing a detectable lithium line, 318 of which are not found in the known catalogs of young stars. We also report 126 additional stars in our sample which have no detectable lithium but signs of stellar activity indicating youth. Radial velocities are determined for WiFeS spectra with a precision of 3.2 $\mathrm{km\;s^{-1}}$ and 1.5 $\mathrm{km\;s^{-1}}$ for the Echelle sample.

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