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arXiv 1611.04597astro-ph.GA
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早型星系中AGN反馈和$α$增强的起源--来自GAEA模型的启示

AGN feedback and the origin of the $α$ enhancement in early type galaxies - insights from the GAEA model

Gabriella De Lucia, Fabio Fontanot, Michaela Hirschmann

摘要:

我们利用我们最近发表的银河系演化和组装(GAEA)模型来研究观测到的[ $α$ /Fe]和星系恒星质量之间的相关性的起源。特别是,我们分析了无线电模式活动星系核反馈的作用,最近的工作已确定为一个重要的成分,重现意见。在GAEA中,这个过程介绍了观察到的趋势,恒星形成的历史延长较短的时间尺度更大的星系,但没有提供一个充分的条件来重现所观察到的$α$增强的大质量星系。在我们的模型框架中,这是可能的,只有假设任何剩余的恒星形成被截断的星系质量比$10^{10.5}\,{\rm M}_{\odot}$。然而,这导致了大质量星系的恒星形成时间尺度更短,总的恒星金属丰度明显低于观测值。我们的结果表明:(i)[ $α$ /Fe]比值的变化趋势不能简单地用相对时间尺度指标进行转换;(ii)活动星系核反馈不能单独解释[ $α$ /Fe]与星系质量/速度弥散的正相关关系。同时再现质量金属丰度关系和观测到的$α$增强对分层模型提出了挑战,除非采用更奇特的解决方案,如富含金属的风或变量IMF。

英文摘要:

We take advantage of our recently published model for Galaxy Evolution and Assembly (GAEA) to study the origin of the observed correlation between [$α$/Fe] and galaxy stellar mass. In particular, we analyse the role of radio mode AGN feedback, that recent work has identified as a crucial ingredient to reproduce observations. In GAEA, this process introduces the observed trend of star formation histories extending over shorter time-scales for more massive galaxies, but does not provide a sufficient condition to reproduce the observed $α$ enhancements of massive galaxies. In the framework of our model, this is possible only assuming that any residual star formation is truncated for galaxies more massive than $10^{10.5}\,{\rm M}_{\odot}$. This results, however, in even shorter star formation time-scales for the most massive galaxies, that translate in total stellar metallicities significantly lower than observed. Our results demonstrate that (i) trends of [$α$/Fe] ratios cannot be simply converted in relative time-scale indicators, and (ii) AGN feedback cannot explain alone the positive correlation between [$α$/Fe] and galaxy mass/velocity dispersion. Reproducing simultaneously the mass-metallicity relation and the $α$ enhancements observed poses a challenge for hierarchical models, unless more exotic solutions are adopted such as metal-rich winds or a variable IMF.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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