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arXiv 1407.0685astro-ph.GA
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AGN反馈模型：与恒星形成的相关性和时间演化的观测意义

AGN Feedback models: Correlations with star formation and observational implications of time evolution

Robert J. Thacker, C. MacMackin, James Wurster, Alexander Hobbs

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Accepted to MNRAS. Comments welcome
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摘要：

我们研究了恒星形成率（SFR）和黑洞吸积率（BHAR）之间的相关性在一套不同的活动星系核反馈模型，使用合并模拟的时间演化。通过考虑三个不同的演化阶段，以及恒星形成的核区和外围区之间的区别，我们考虑了63种不同的情况。尽管许多反馈模型很好地拟合了M-σ关系，但SFR-BHAR相关性通常存在明显差异，只有在合并后才存在接近线性的趋势。一些模型还显示了SFR-BHAR参数空间的演变，有时直接跨越长期平均SFR-BHAR相关性。这表明，观测SFR-BHAR相关星系合奏发现的是一个近似的统计趋势，由Hickox等人建议。分解成核和外部组件的SFR也突出了模型之间的显着差异，只有适度的协议与观测研究检查这在塞弗特星系。对于分数的黑洞质量增长的合并事件相对于最终的黑洞质量，我们发现多达三个模型之间的变化的因素。这也转化为类似的变化后，恒星暴增的黑洞质量增长。总的来说，我们发现，虽然模型之间的定性特征通常是相似的，但精确的定量分析表明，可能存在相当明显的差异。

英文摘要：

We examine the correlation between the star formation rate (SFR) and black hole accretion rate (BHAR) across a suite of different AGN feedback models, using the time evolution of a merger simulation. By considering three different stages of evolution, and a distinction between the nuclear and outer regions of star formation, we consider 63 different cases. Despite many of the feedback models fitting the M-σ relationship well, there are often distinct differences in the SFR-BHAR correlations, with close to linear trends only being present after the merger. Some of the models also show evolution in the SFR-BHAR parameter space that is at times directly across the long-term averaged SFR-BHAR correlation. This suggests that the observational SFR-BHAR correlation found for ensembles of galaxies is an approximate statistical trend, as suggested by Hickox et al. Decomposing the SFR into nuclear and outer components also highlights notable differences between models and there is only modest agreement with observational studies examining this in Seyfert galaxies. For the fraction of the black hole mass growth from the merger event relative to the final black hole mass, we find as much as a factor of three variation among models. This also translates into a similar variation in the post-starburst black hole mass growth. Overall, we find that while qualitative features are often similar amongst models, precise quantitative analysis shows there can be quite distinct differences.

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