论文标题

在那里再次返回:了解后挡板星系的关键特性

There and back again: understanding the critical properties of backsplash galaxies

论文作者

Borrow, Josh, Vogelsberger, Mark, O'Neil, Stephanie, McDonald, Michael A., Smith, Aaron

论文摘要

后挡板星系是曾经驻留在集群中的星系,并在朝向其轨道的apocentre时向后移动。由于对仅暗物质模拟中的后挡板研究进行了重大研究,因此对这些星系的运动特性得到了充分的了解,但是由于对亚电网物理学,RAM压力剥离,动态摩擦和潮汐力的不确定性建模,它们的内在特性并没有很好地限制。在本文中,我们使用Illustristng300-1模拟,并以$ M _ {\ rm b} \约1.1 \ times 10^7 $ m $ _ \ odot $进行$ M _ {\ rm b} \ odot $,以1302个孤立的星系簇为1302个属于质量$ 10^{13.0} {13.0} <m _ _ _ _ _ = \ rmM { m} _ \ odot <10^{15.5} $。我们采用决策树分类器来提取星系的特征,与附近的田野星系相比,它们可能是后挡板的星系,并发现后挡板星系具有低气体分数,高质量到光比率,较高的巨大巨大尺寸,较大的恒星大小和低黑孔职业。我们详细研究了这些大小的起源,假设它们的起源与集群中的潮汐环境有关。我们表明,在许多宇宙学模拟中采用的黑洞最新方案导致从聚集成簇的星系中失去黑洞,并提出对这些模型的改进。通常,我们发现后挡板星系是一个有用的人群,可用于测试和理解数值星系形成模型,因为它们具有挑战性的环境和与受约束较差的物理学相互作用的进化途径。

Backsplash galaxies are galaxies that once resided inside a cluster, and have migrated back oustide as they move towards the apocentre of their orbit. The kinematic properties of these galaxies are well understood, thanks to the significant study of backsplashers in dark matter-only simulations, but their intrinsic properties are not well constrained due to modelling uncertainties in sub-grid physics, ram pressure stripping, dynamical friction, and tidal forces. In this paper, we use the IllustrisTNG300-1 simulation, with a baryonic resolution of $M_{\rm b} \approx 1.1\times 10^7$ M$_\odot$, to study backsplash galaxies around 1302 isolated galaxy clusters with mass $10^{13.0} < M_{\rm 200,mean} / {\rm M}_\odot< 10^{15.5}$. We employ a decision tree classifier to extract features of galaxies that make them likely to be backsplash galaxies, compared to nearby field galaxies, and find that backsplash galaxies have low gas fractions, high mass-to-light ratios, large stellar sizes, and low black hole occupation fractions. We investigate in detail the origins of these large sizes, and hypothesise their origins are linked to the tidal environments in the cluster. We show that the black hole recentreing scheme employed in many cosmological simulations leads to the loss of black holes from galaxies accreted into clusters, and suggest improvements to these models. Generally, we find that backsplash galaxies are a useful population to test and understand numerical galaxy formation models due to their challenging environments and evolutionary pathways that interact with poorly constrained physics.

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