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DETERMINING AGES OF APOGEE GIANTS WITH KNOWN DISTANCES

机译:确定已知距离的尖锐绑腿的年龄

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We present a sample of 705 local giant stars observed using the New Mexico State University 1 m telescope with the Sloan Digital Sky Survey-III/Apache Point Observatory Galactic Evolution Experiment (APOGEE) spectrograph, for which we estimate stellar ages and the local star formation history (SFH). The high-resolution (R ~ 22,500), near infrared (1.51–1.7 μm) APOGEE spectra provide measurements of stellar atmospheric parameters (temperature, surface gravity, [M/H], and [α/M]). Due to the smaller uncertainties in surface gravity possible with high-resolution spectra and accurate Hipparcos distance measurements, we are able to calculate the stellar masses to within 30%. For giants, the relatively rapid evolution up the red giant branch allows the age to be constrained by the mass. We examine methods of estimating age using both the mass–age relation directly and a Bayesian isochrone matching of measured parameters, assuming a constant SFH. To improve the SFH prior, we use a hierarchical modeling approach to constrain the parameters of the model SFH using the age probability distribution functions of the data. The results of an α-dependent Gaussian SFH model show a clear age–[α/M] relation at all ages. Using this SFH model as the prior for an empirical Bayesian analysis, we determine ages for individual stars. The resulting age–metallicity relation is flat, with a slight decrease in [M/H] at the oldest ages and a ~0.5 dex spread in metallicity across most ages. For stars with ages 1 Gyr we find a smaller spread, consistent with radial migration having a smaller effect on these young stars than on the older stars.
机译:我们提供了使用新墨西哥州立大学1 m望远镜和斯隆数字天空测量III /阿帕奇点天文台银河演化实验(APOGEE)光谱仪观测到的705颗本地巨星的样本,据此我们估算了恒星的年龄和本地恒星的形成历史记录(SFH)。高分辨率(R〜22,500),近红外(1.51–1.7μm)APOGEE光谱提供了恒星大气参数(温度,表面重力,[M / H]和[α/ M])的测量。由于高分辨率光谱和精确的Hipparcos距离测量可能带来较小的表面重力不确定性,因此我们能够计算出30%以内的恒星质量。对于巨人而言,红色巨人树枝上相对较快的进化使得年龄受到了物质的限制。假设SFH不变,我们将直接使用质量-年龄关系和测量参数的贝叶斯等时线匹配来检验估计年龄的方法。为了改进SFH,我们使用分层建模方法使用数据的年龄概率分布函数来约束SFH模型的参数。 α依赖的高斯SFH模型的结果表明,各个年龄段的年龄-[α/ M]之间都有明确的关系。使用该SFH模型作为经验贝叶斯分析的先验条件,我们可以确定单个恒星的年龄。由此产生的年龄-金属性关系是平坦的,在最老的年龄中[M / H]略有下降,并且在大多数年龄中,金属性的分布约为〜0.5 dex。对于年龄为1 Gyr的恒星,我们发现其散布较小,这与径向迁移相比,对这些年轻恒星的影响要小于对老式恒星的影响。

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