论文标题
质量，年龄和速度分散在太阳能社区的统计关系
A Statistical Relation between Mass, Age and Velocity Dispersion in the Solar Neighborhood
论文作者
论文摘要
银河盘的恒星运动学是以银河系（MW）银河系来约束磁盘形成和进化过程的主要因素。在本文中，我们研究了恒星质量，年龄和速度分散恒星的统计关系。年龄速度分散关系（AVR）及其应用，以前详细研究过。但是它们与质量的相关性大多被忽略了。为了调查这种关系，我们使用银河磁盘中113035颗恒星的正确运动数据（太阳距离小于150 parsecs），该数据由\ textit {gaia}任务的第三个数据发布以及恒星质量和年龄的第三个数据发布，\ textit {gaia}的最终年龄质量估计器（\ textitator（\ textit）的最终iSTOTATOR（\ textiT）（\ textit fextit flame}）我们分析了这些数据以及随机福雷斯特（RF）回归的参数之间的相关性，这是一种集成统计学习技术。最后，我们表明，通过考虑年龄段的恒星质量，我们可以分别确定具有平均相对误差的速度分散，平均绝对误差约为$ 9 \％$和$ 2.68〜 \ rm {km/s} $。我们还发现，恒星年龄与速度分散剂的相关性是$ 3 $ 3 $至$ 8 $ $ 8 $ $ $ 8 $倍，这是由于不同的恒星类型和质量而变化。
The stellar kinematics of the Galactic disk are main factors for constraining disk formation and evolution processes in the Milky Way (MW) Galaxy. In this paper we investigate a statistical relation between stellar Mass, Age and Velocity Dispersion for stars in the Solar neighborhood. Age-Velocity dispersion relations (AVR), with their applications, have been studied in details before. But their correlation with mass was mostly neglected. To investigate this relation, we use the proper motion data of more than 113035 stars in the Galactic disk (with Solar distances less than 150 parsecs) provided by the third data release of the \textit{Gaia} mission and for stellar Mass and Age, \textit{Gaia}'s Final Luminosity Age Mass Estimator (\textit{FLAME}) is implemented. We analyze this data and the correlations between the parameters with Random Forrest (RF) Regression, which is an Ensemble statistical learning technique. Finally, we show that by considering the stellar mass alongside age, we can determine Velocity Dispersions with the average relative error, and mean absolute error of about $9\%$, and $2.68~\rm{km/s}$, respectively. We also find that the correlation of stellar age with Velocity Dispersion is $3$ to $8$ times more than mass, which varies due to the different stellar types and masses.
