GAEA半分析星系形成模型新实施中的星系聚类

Fabio FontanotINAF-OATs, IFPU, Gabriella De LuciaINAF-OATs, IFPU, Lizhi XieTianjin Normal University, Michaela HirschmannEPFL, INAF-OATs, Carlton BaughICC, Durham University, John C. HellyICC
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摘要

我们展示了从 P-Millennium 模拟(PMS)中提取的最新版 GAEA 星系形成模型与合并树的结果,该模型提供了更好的质量分辨率、更大的体积,并假定了与普朗克任务最新结果一致的宇宙学参数。同时,该模型还包括将冷气体分成原子和分子(H$_2$)两部分的处理方法;对卫星星系所处环境过程的更好处理方法;超大质量黑洞冷气体吸积的最新模型以及 AGN 对宿主星系的相对反馈。我们比较了基于PMS的GAEA预测和基于不同分辨率的Millennium套件中其他模拟的模型实现,结果表明新模型在星系群的统计特性方面具有显著的一致性。我们认为这是由于 AGN 反馈和基于 H$_2$ 的 SFR(两者都是冷气体含量的调节器)之间的相互作用造成的。我们表明,GAEA运行能够正确地恢复2pCF作为恒星质量(M$_\star$)、恒星形成活动、HI-含量和红移的函数的主要依赖关系,对于M$_\star$ < 10$^{11}$ M$_\odot$星系来说是如此。我们的模型正确地捕捉到了星系种群在大尺度结构中的分布,以及中心星系和卫星星系中调节其重子含量的主要物理过程之间的相互作用。在恒星质量较大时,GAEA对2pCF振幅的预测较低,这表明模型中的大质量星系生活在质量较小的暗物质晕中。模型预测的聚类振幅的红移演化相当小,最高可达z$\sim$3,这与现有的观测证据是一致的。
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Galaxy clustering in a new implementation of the GAEA semi-analytical galaxy formation model
We present results from the latest version of the GAEA model of galaxy formation coupled with merger trees extracted from the P-Millennium Simulation (PMS), which provides a better mass resolution, a larger volume and assumes cosmological parameters consistent with latest results from the Planck mission. The model includes, at the same time, a treatment for the partition of cold gas into atomic and molecular (H$_2$) components; a better treatment for environmental processes acting on satellite galaxies; an updated modelling of cold gas accretion on Super-Massive Black Hole and relative AGN feedback on the host galaxy. We compare GAEA predictions based on the PMS, with model realizations based on other simulations in the Millennium Suite at different resolution, showing that the new model provides a remarkable consistency in the statistical properties of galaxy populations. We interpret this as due to the interplay between AGN feedback and H$_2$-based SFR (both acting as regulators of the cold gas content). We then compare model predictions with available data for the galaxy 2-point correlation function (2pCF) in the redshift range 0
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