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arXiv 1908.04548astro-ph.GAastro-ph.SR
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大型分光测量的包络反演

Ensemble age inversions for large spectroscopic surveys

Alexey Mints, Saskia Hekker, Ivan Minchev

摘要:

银河系天体物理学现在正在建立银河系的多维地图。对于这样的地图来说,恒星年龄是基本要素。然而,年龄只能通过将观测数据与模型进行比较来间接测量。通常很难为给定的恒星提供单一的年龄值,因为可能有几个不重叠的解决方案。我们的目标是恢复基本的日志(年龄)分布从测得的日志(年龄)概率密度函数为任意一组恒星。建立了一种年龄反演方法,即将测得的对数(年龄)概率密度函数表示为单年龄总体概率密度函数的加权和。该总和中的权重给出了底层的log(年龄)分布。单年龄人口模拟,使日志g-[Fe/H]平面上的恒星的分布是接近所观察到的样品。我们在模拟数据上测试了年龄反演方法,表明它能够正确地恢复大样本(N > 103)恒星的真实log(年龄)分布。该方法进一步应用于大型公共光谱调查。对于RAVE-on、LAMOST和APOGEE,我们还对单金属丰度样本进行了年龄反演,成功地恢复了更高精度的APOGEE数据和化学演化模型中存在的年龄-金属丰度趋势。我们的结论是,应用本工作中提出的年龄反演方法是必要的,以恢复一个大的(N > 103)的恒星集的基本年龄分布。这些年龄分布可以用来探索例如年龄-金属丰度关系。

英文摘要:

Galactic astrophysics is now in the process of building a multi-dimensional map of the Galaxy. For such a map, stellar ages are the essential ingredient. Ages are however measured only indirectly by comparing observational data with models. It is often difficult to provide a single age value for a given star, as several non-overlapping solutions are possible. We aim at recovering the underlying log(age) distribution from the measured log(age) probability density function for an arbitrary set of stars. We build an age inversion method, namely, we represent the measured log(age) probability density function as a weighted sum of probability density functions of mono-age populations. Weights in that sum give the underlying log(age) distribution. Mono-age populations are simulated so that the distribution of stars on the log g-[Fe/H] plane is close to that of the observed sample. We tested the age inversion method on simulated data, demonstrating that it is capable of properly recovering the true log(age) distribution for a large (N > 103) sample of stars. The method was further applied to large public spectroscopic surveys. For RAVE-on, LAMOST and APOGEE we also applied age inversion to mono-metallicity samples, successfully recovering age-metallicity trends present in higher-precision APOGEE data and chemical evolution models. We conclude that applying an age inversion method as presented in this work is necessary to recover the underlying age distribution of a large (N > 103 ) set of stars. These age distributions can be used to explore for instance age-metallicity relations.

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