论文标题

详细介绍了绿谷星系中的恒星种群

A detailed look at the stellar populations in green valley galaxies

论文作者

Angthopo, James, Ferreras, Ignacio, Silk, Joseph

论文摘要

$ \ require {Mediawiki-Texvc} $绿谷(GV)代表了从积极的星系星系到被动发展的系统的重要过渡状态。它的传统定义基于颜色,基于许多可能受到非平凡系统学的假设。在Angthopo等。 (2019年),我们根据4000 $Å$断裂强度提出了一个新的GV定义。在本文中,我们详细探讨了基础恒星种群的特性,该特性通过Sloan Digital Sky Survey(SDSS)的约2.3万高品质的光谱(SDSS),通过通过灰尘校正的颜色与传统方法进行了对比。我们探索了高质量的SDSS光谱,并找到了一种人口趋势,该趋势表明低质量星系和高质量星系之间存在实质性差异,前者的特征是较年轻的恒星形成淬火,后者显示了包括恢复活力事件的较老(后季度)人群。在基于颜色的方法和我们的定义之间发现了细微但可测量的差异,尤其是当我们选择GV星系会产生GV的更清洁的“分层”,并且在GV部分内具有更均匀的人口特性。我们基于4000 $Å$断裂强度的定义可以清晰地表示静止的过渡,在即将进行的光谱调查和未来的光谱调查中易于测量。

$\require{mediawiki-texvc}$The green valley (GV) represents an important transitional state from actively star-forming galaxies to passively evolving systems. Its traditional definition, based on colour, rests on a number of assumptions that can be subject to non-trivial systematics. In Angthopo et al. (2019), we proposed a new definition of the GV based on the 4000$Å$ break strength. In this paper, we explore in detail the properties of the underlying stellar populations by use of ~230 thousand high-quality spectra from the Sloan Digital Sky Survey (SDSS), contrasting our results with a traditional approach via dust-corrected colours. We explore high quality stacked SDSS spectra, and find a population trend that suggests a substantial difference between low- and high-mass galaxies, with the former featuring younger populations with star formation quenching, and the latter showing older (post-quenching) populations that include rejuvenation events. Subtle but measurable differences are found between a colour-based approach and our definition, especially as our selection of GV galaxies produces a cleaner "stratification" of the GV, with more homogeneous population properties within sections of the GV. Our definition based on 4000$Å$ break strength gives a clean representation of the transition to quiescence, easily measurable in the upcoming and future spectroscopic surveys.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源