4.6 Article

FEEDBACK-REGULATED STAR FORMATION: IMPLICATIONS FOR THE KENNICUTT-SCHMIDT LAW

期刊

ASTROPHYSICAL JOURNAL LETTERS
卷 737, 期 1, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/2041-8205/737/1/L20

关键词

galaxies: ISM; ISM: clouds; ISM: molecules; stars: formation

资金

  1. STFC [ST/H00307X/1]
  2. STFC [ST/H00307X/1] Funding Source: UKRI
  3. Science and Technology Facilities Council [ST/H00307X/1] Funding Source: researchfish

向作者/读者索取更多资源

We derive a metallicity-dependent relation between the surface density of the star formation rate (Sigma(SFR)) and the gas surface density (Sigma(g)) in a feedback-regulated model of star formation in galactic disks. In this model, star formation occurs in gravitationally bound protocluster clumps embedded in larger giant molecular clouds with the protocluster clump mass function following a power-law function with a slope of -2. Metallicity-dependent feedback is generated by the winds of OB stars (M greater than or similar to 5 M-circle dot) that form in the clumps. The quenching of star formation in clumps of decreasing metallicity occurs at later epochs due to weaker wind luminosities, thus resulting in higher final star formation efficiencies (SFEexp). By combining SFEexp with the timescales on which gas expulsion occurs, we derive the metallicity-dependent SFR per unit time in this model as a function of Sigma(g). This is combined with the molecular gas fraction in order to derive the global dependence of Sigma(SFR) on Sigma(g). The model reproduces very well the observed star formation laws extending from low gas surface densities up to the starburst regime. Furthermore, our results show a dependence of Sigma(SFR) on metallicity over the entire range of gas surface densities in contrast to other models and can also explain part of the scatter in the observations. We provide a tabulated form of the star formation laws that can easily be incorporated into numerical simulations or semi-analytical models of galaxy formation and evolution.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据