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arXiv 2006.00818astro-ph.GAastro-ph.CO
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在小尺度上用星系动力学测试了绝对匹配

Abundance matching tested on small scales with galaxy dynamics

Andrea V. Macciò, Stephane Courteau, Nathalie N. -Q. Ouellette, Aaron A. Dutton

摘要:

我们提出了一个全面的测试恒星和星系总质量之间的关系预测流行的模型的基础上丰度匹配(AM)技术。我们使用“室女星系团座星系团的光谱学和H波段成像”(SHIVir)调查,对190个室女星系团星系团进行光度和动力学剖面测量,以建立等照度半径$r_{23.5}$内测量的恒星质量和动力学质量之间的关系。各种暗物质和星系的尺度关系相结合的结果从NIHAO套件的流体动力学模拟重铸AM预测这些观测到的数量。我们的结果对暗物质轮廓的精确选择和晕对重子坍缩的响应是相当不敏感的。我们发现,理论模型再现的斜率和归一化的观测到的恒星晕质量关系(SHMR)超过三个数量级的恒星质量$(10^8 < M_*/M_{\odot} < 2 \times 10^{11})$。然而,所观察到的SHMR的散射超过AM预测的因子$\sim$ 5。对于恒星质量超过$5 \times 10^{10}~M_{\odot}$的系统,AM对给定的动力学质量高估了观测到的恒星质量。后一个偏移可能支持以前的迹象不同的恒星初始质量函数在这些大质量星系。总的来说,我们的研究结果支持AM预测的有效性在很宽的动态范围。

英文摘要:

We present a comprehensive test of the relation between stellar and total mass in galaxies as predicted by popular models based on abundance matching (AM) techniques. We use the ``Spectroscopy and H-band Imaging of Virgo cluster galaxies'' (SHIVir) survey with photometric and dynamical profiles for 190 Virgo cluster galaxies to establish a relation between the stellar and dynamical masses measured within the isophotal radius $r_{23.5}$. Various dark matter and galaxy scaling relations are combined with results from the NIHAO suite of hydrodynamical simulations to recast AM predictions in terms of these observed quantities. Our results are quite insensitive to the exact choice of dark matter profile and halo response to baryon collapse. We find that theoretical models reproduce the slope and normalization of the observed stellar-to-halo mass relation (SHMR) over more than three orders of magnitude in stellar mass $(10^8 < M_*/M_{\odot} < 2 \times 10^{11})$. However, the scatter of the observed SHMR exceeds that of AM predictions by a factor $\sim$5. For systems with stellar masses exceeding $5 \times 10^{10}~M_{\odot}$, AM overpredicts the observed stellar masses for a given dynamical mass. The latter offset may support previous indications of a different stellar initial mass function in these massive galaxies. Overall our results support the validity of AM predictions on a wide dynamical range.

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