论文标题

具有独特运动学的恒星种群合成:SDSS-IV漫画中的多年级不对称漂移

Stellar Population Synthesis with Distinct Kinematics: Multi-Age Asymmetric Drift in SDSS-IV MaNGA Galaxies

论文作者

Shetty, Shravan, Bershady, Matthew A., Westfall, Kyle B., Cappellari, Michele, Drory, Niv, Law, David R., Yan, Renbin, Bundy, Kevin

论文摘要

我们介绍了第一个不对称漂移(AD)测量值,该测量值是在1.5 Gyr以上和以下的不同特征年龄的未解决的恒星种群。这些测量结果采样了星系磁盘中的年龄关系(AVR)。在第一篇论文中,我们开发了两种有效的算法,以从光学积分光谱(IFS)数据盒中从spaxel-by-spaxel提取AD。该算法应用不同的光谱模板,一个使用简单的恒星种群,另一个使用恒星库;他们的比较使我们能够评估派生的多组分速度(例如模板不匹配)中的系统错误。我们在SDSS-IV的漫画调查中使用模拟光谱和Monte Carlo Markov链测试算法可靠性。我们将AD中的随机和系统错误量化为信噪比和恒星种群特性的函数,目的是将该技术应用于漫画星系样品的大型子集。为了证明我们的方法,我们将它们应用于具有可比恒星质量和颜色的七个初始样本,以与银河系相似。我们为年轻人和老年人种群找到了广泛的不同广告径向概况。

We present the first asymmetric drift (AD) measurements for unresolved stellar populations of different characteristic ages above and below 1.5 Gyr. These measurements sample the age-velocity relation (AVR) in galaxy disks. In this first paper we develop two efficient algorithms to extract AD on a spaxel-by-spaxel basis from optical integral-field spectroscopic (IFS) data-cubes. The algorithms apply different spectral templates, one using simple stellar populations and the other a stellar library; their comparison allows us to assess systematic errors in derived multi-component velocities, such as template-mismatch. We test algorithm reliability using mock spectra and Monte Carlo Markov Chains on real data from the MaNGA survey in SDSS-IV. We quantify random and systematic errors in AD as a function of signal-to-noise and stellar population properties with the aim of applying this technique to large subsets of the MaNGA galaxy sample. As a demonstration of our methods, we apply them to an initial sample of seven galaxies with comparable stellar mass and color to the Milky Way. We find a wide range of distinct AD radial profiles for young and old stellar populations.

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