THE MASS-DEPENDENT STAR FORMATION HISTORIES OF DISK GALAXIES: INFALL MODEL VERSUS OBSERVATIONS

THE MASS-DEPENDENT STAR FORMATION HISTORIES OF DISK GALAXIES: INFALL MODEL VERSUS OBSERVATIONS
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盘状星系质量相关的恒星形成历史:陨落模型与观测

DOI:
10.1088/0004-637x/722/1/380
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发表时间:
2010-08
影响因子:
4.9
通讯作者:
Shu, C. G.
Shu, C. G.
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Chang, R. X.;Hou, J. L.;Shen, S. Y.;Shu, C. G.

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我们引入了一个简单的模型来探索盘状星系的恒星形成历史。我们假设盘的起源和生长是由持续的气体流入造成的。气体入渗率用带有一个自由参数的高斯公式进行参数化:入射峰值时间tp。Kennicutt恒星形成定律被用来描述有多少冷气体变成了恒星。模型中还考虑了气体的外流过程。我们发现,对于给定的星系恒星质量M*,采用晚入峰时间tp的模型产生蓝色、低金属度、高比星形成率(SFR)和高气体分数,而气体流出速率主要影响气相金属含量,而恒星形成效率主要影响气体分数。在局域观测标度关系的激励下,我们假设低质量星系比大质量系统具有较晚的入峰时间tp和较大的气体流出速率,从而“构造”了一个与质量有关的模型。结果表明,该模型不仅与局域观测相一致,而且与观测到的中等红移z<1处星系恒星质量Sfr/M*∼ M*之间的关联也是一致的,并与指数落差模型进行了比较。结果表明,与高斯模型相比,指数模型在早期预测的SFR较高,而在后期预测的SFR较低。我们的结果表明,高斯下降率可能比指数下降率更能合理地描述气体冷却过程,特别是对于低质量系统。
We introduce a simple model to explore the star formation histories of disk galaxies. We assume that the disk originate and grows by continuous gas infall. The gas infall rate is parameterized by the Gaussian formula with one free parameter: the infall-peak time tp. The Kennicutt star formation law is adopted to describe how much cold gas turns into stars. The gas outflow process is also considered in our model. We find that, at a given galactic stellar mass M*, the model adopting a late infall-peak time tp results in blue colors, low-metallicity, high specific star formation rate (SFR), and high gas fraction, while the gas outflow rate mainly influences the gas-phase metallicity and star formation efficiency mainly influences the gas fraction. Motivated by the local observed scaling relations, we “construct” a mass-dependent model by assuming that the low-mass galaxy has a later infall-peak time tp and a larger gas outflow rate than massive systems. It is shown that this model can be in agreement with not only the local observations, but also with the observed correlations between specific SFR and galactic stellar mass SFR/M* ∼  M* at intermediate redshifts z < 1. Comparison between the Gaussian-infall model and the exponential-infall model is also presented. It shows that the exponential-infall model predicts a higher SFR at early stage and a lower SFR later than that of Gaussian infall. Our results suggest that the Gaussian infall rate may be more reasonable in describing the gas cooling process than the exponential infall rate, especially for low-mass systems.
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