论文标题

SDSS-IV漫画所揭示的环境对磁盘星系生活的影响

The impact of environment on the lives of disk galaxies as revealed by SDSS-IV MaNGA

论文作者

Zhou, Shuang, Merrifield, Michael, Aragón-Salamanca, Alfonso, Brownstein, Joel R., Drory, Niv, Yan, Renbin, Lane, Richard R.

论文摘要

长期以来,众所周知,环境会对星系的演变产生重大影响,但是在这里,我们试图量化磁盘星系中可能发现的细微差异,具体取决于它们是孤立的,是一个组中(中心)中最大的星系,还是一个较小的成员(卫星)。漫画调查使我们能够定义每个类别中具有高质量集成光谱的574个星系的大质量样本。对其光谱指数的初步检查表明存在显着差异,尤其是在低质量星系中。将完整化学演化模型与这些光谱的半分析光谱拟合确认了这些差异,低质量卫星的恒星形成时间较短,典型的封闭盒子的化学富集时间较短,而中央星系具有更广泛的历史,并且具有寿命中持续的气体积聚的证据。气体中心时间尺度和风强的派生参数表明,低质量卫星星系有效地清除了气体热光晕,而中央星系保留了比孤立星系更大的气体,因为它们所在的较深的群体潜在的潜在井中。 S0星系在样本中形成了一个独特的子集,尤其是在较高的质量下,但不会显着偏向于推断出的较低质量环境影响。出现的一致图片强调了可以使用半分析光谱拟合等技术从高质量的光谱数据中提取的大量考古信息。

Environment has long been known to have significant impact on the evolution of galaxies, but here we seek to quantify the subtler differences that might be found in disk galaxies, depending on whether they are isolated, the most massive galaxy in a group (centrals), or a lesser member (satellites). The MaNGA survey allows us to define a large mass-matched sample of 574 galaxies with high-quality integrated spectra in each category. Initial examination of their spectral indices indicates significant differences, particularly in low-mass galaxies. Semi-analytic spectral fitting of a full chemical evolution model to these spectra confirms these differences, with low-mass satellites having a shorter period of star formation and chemical enrichment typical of a closed box, while central galaxies have more extended histories, with evidence of on-going gas accretion over their lifetimes. The derived parameters for gas infall timescale and wind strength suggest that low-mass satellite galaxies have their hot halos of gas effectively removed, while central galaxies retain a larger fraction of gas than isolated galaxies due to the deeper group potential well in which they sit. S0 galaxies form a distinct subset within the sample, particularly at higher masses, but do not bias the inferred lower-mass environmental impact significantly. The consistent picture that emerges underlines the wealth of archaeological information that can be extracted from high-quality spectral data using techniques like semi-analytic spectral fitting.

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