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Astrophysics > Astrophysics of Galaxies

arXiv:1608.00121v1 (astro-ph)
[Submitted on 30 Jul 2016 ]

Title: Exploring the connection between stellar halo profiles and accretion histories in $L_*$ galaxies

Title: 探索$L_*$星系中恒星晕轮廓与吸积历史之间的联系

Authors:Nicola C. Amorisco
Abstract: I use a library of controlled minor merger N-body simulations, a particle tagging technique and Monte Carlo generated $\Lambda$CDM accretion histories to study the highly stochastic process of stellar deposition onto the accreted stellar halos (ASHs) of $L_*$ galaxies. I explore the main physical mechanisms that drive the connection between the accretion history and the density profile of the ASH. I find that: i) through dynamical friction, more massive satellites are more effective at delivering their stars deeper into the host; ii) as a consequence, ASHs feature a negative gradient between radius and the local mass-weighed virial satellite-to-host mass ratio; iii) in $L_*$ galaxies, most ASHs feature a density profile that steepens towards sharper logarithmic slopes at increasing radii, though with significant halo-to-halo scatter; iv) the ASHs with the largest total ex-situ mass are such because of the chance accretion of a small number of massive satellites (rather than of a large number of low-mass ones).
Abstract: 我使用一个受控小合并N体模拟库、粒子标记技术以及蒙特卡罗生成的$\Lambda$冷暗物质吸积历史,来研究恒星沉积到$L_*$星系的吸积恒星晕(ASHs)上的高度随机过程。 我探索了驱动吸积历史与ASH密度轮廓之间联系的主要物理机制。 我发现:i) 通过动力摩擦,质量更大的卫星更有效地将其恒星带入宿主内部;ii) 因此,ASHs在半径和局部质量加权的虚拟卫星与宿主质量比之间呈现出负梯度;iii) 在$L_*$星系中,大多数ASHs的密度轮廓随着半径增加而变得更为陡峭,尽管存在显著的晕间差异;iv) 拥有最大总外源质量的ASHs是因为偶然吸积了一小部分大质量卫星(而不是大量低质量卫星)。
Comments: Proceedings of IAU Symposium 321, "Formation and evolution of galaxy outskirts", Eds. A. Gil de Paz, J. C. Lee & J. H. Knapen, Cambridge University Press, Cambridge
Subjects: Astrophysics of Galaxies (astro-ph.GA) ; Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Cite as: arXiv:1608.00121 [astro-ph.GA]
  (or arXiv:1608.00121v1 [astro-ph.GA] for this version)
  https://doi.org/10.48550/arXiv.1608.00121
arXiv-issued DOI via DataCite
Related DOI: https://doi.org/10.1017/S1743921316011662
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Submission history

From: Nicola Cristiano Amorisco [view email]
[v1] Sat, 30 Jul 2016 13:43:07 UTC (893 KB)
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