The Missing Link: Unlocking galaxy evolution by understanding star formation.
缺失的一环:通过了解恒星形成来解锁星系演化。
基本信息
- 批准号:ST/N00485X/1
- 负责人:
- 金额:$ 62.21万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Fellowship
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Stars are the engines that drive how galaxies evolve. When massive stars die the resulting supernova explosions transfer energy to the gas in the galaxy and support it against gravitational collapse. Stars form all the elements heavier than Helium by nuclear fusion, and these elements are returned to the galaxy in the supernova explosions. Planets are formed as by-products of star-formation, and the energy that they emit may fuel life on those planets. An understanding of how stars form is crucial to understanding the evolution of galaxies since the Big Bang. We can test this process using revolutionary new telescopes like the Atacama Large Millimetre and sub-millimetre Array (ALMA) and the future Square Kilometre Array (SKA). These advanced facilities will make it possible to observe the different environments within other galaxies in unprecedented detail.To solve the mystery of how stars form in other galaxies we will first need good predictions that can be compared against the observations. I want to help solve this mystery by using supercomputer simulations to create extremely detailed models of where gas is concentrated into clouds in different types of galaxies. These gas clouds are known as molecular clouds, because they mainly consist of hydrogen molecules, and are the stellar nurseries in which stars are born. I will use the models to predict the temperature, density, chemical composition, and gas motions, and then investigate how easily the gas collapses to form stars, the type of stars formed, and the numbers of stars in the different clouds. This will enable me to determine whether molecular clouds and the stars formed in them are the same everywhere, or whether they vary with galactic environment. This is an important assumption as in observations we can only see the very brightest stars in other galaxies and have to assume that the fainter stars form in the same proportion as we see in nearby star-forming regions in our own Milky-Way Galaxy.Previous models of star-formation always started with simple estimates of how clouds might begin, but uniquely, this project uses actual galaxy models. A major innovation is that I will use a chemical model to predict the composition of the gas, which will determine the emission seen by a telescope. For example, ALMA is sensitive to the emission from carbon monoxide gas, and the SKA will be sensitive to emission from atomic hydrogen. Using the computer simulations generated from this project I will make synthetic observations of the molecular clouds in other galaxies. In other galaxies we know that the amount of gas, the structure of the galaxy, and the chemical composition may be different, and so how clouds appear when observed will also be different. We can compare the computer generated emission maps to the observed maps as a reference guide to determine what the properties of the observed clouds actually are. Astronomical observations are 2D projected images of what are 3D structures, moreover, the emitted light changes with the temperature and density of the gas. This makes molecular clouds hard to understand without a good model to compare against. This is particularly true of modern telescopes as due to their improved resolution and sensitivity the observations are very complex due to the fine details that they can see. Consequently, the models from this project will be crucial in using ALMA and the SKA to determine how stars form throughout our Universe.
恒星是驱动星系演化的引擎。当大质量恒星死亡时,产生的超新星爆炸将能量传递给星系中的气体,并支持它对抗引力坍缩。恒星通过核聚变形成所有比氦重的元素,这些元素在超新星爆炸中返回星系。行星是恒星形成的副产品,它们释放的能量可以为这些行星上的生命提供燃料。了解恒星是如何形成的,对于理解大爆炸以来星系的演化至关重要。我们可以使用革命性的新望远镜来测试这一过程,如阿塔卡马大型毫米和亚毫米阵列(阿尔马)和未来的平方公里阵列(SKA)。这些先进的设备将使我们有可能以前所未有的细节观察其他星系内的不同环境。为了解开其他星系中恒星如何形成的谜团,我们首先需要能够与观测结果进行比较的良好预测。我想通过使用超级计算机模拟来帮助解决这个谜团,以创建非常详细的模型,说明气体在不同类型的星系中聚集成云。这些气体云被称为分子云,因为它们主要由氢分子组成,并且是恒星诞生的恒星托儿所。我将使用这些模型来预测温度、密度、化学成分和气体运动,然后研究气体坍缩形成恒星的难易程度、形成的恒星类型以及不同星云中恒星的数量。这将使我能够确定分子云和其中形成的恒星是否在任何地方都是相同的,或者它们是否随银河系环境而变化。这是一个重要的假设,因为在观测中,我们只能看到其他星系中最亮的恒星,并且必须假设较暗的恒星形成的比例与我们在银河系附近恒星形成区域中看到的比例相同。以前的恒星形成模型总是从简单的估计云如何开始开始,但独特的是,这个项目使用实际的星系模型。一个主要的创新是,我将使用化学模型来预测气体的成分,这将决定望远镜所看到的排放。例如,阿尔马对来自一氧化碳气体的发射敏感,而SKA将对来自原子氢的发射敏感。利用这个项目产生的计算机模拟,我将对其他星系中的分子云进行综合观测。在其他星系中,我们知道气体的数量,星系的结构和化学成分可能不同,因此云在观察时的表现也会不同。我们可以将计算机生成的发射图与观测到的图进行比较,作为参考指南,以确定观测到的云的实际属性。天文观测是3D结构的2D投影图像,此外,发射的光随着气体的温度和密度而变化。这使得分子云很难理解,没有一个好的模型进行比较。现代望远镜尤其如此,由于其分辨率和灵敏度的提高,观测结果非常复杂,因为它们可以看到精细的细节。因此,该项目的模型将在使用阿尔马和SKA来确定恒星如何在我们的宇宙中形成时至关重要。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Magnetic fields at the onset of high-mass star formation
- DOI:10.1051/0004-6361/201732378
- 发表时间:2018-01
- 期刊:
- 影响因子:6.5
- 作者:H. Beuther;J. D. Soler;W. Vlemmings;H. Linz;T. Henning;R. Kuiper;R. Rao;Rowan J. Smith;Takeshi Sakai;K. Johnston;Andrew Walsh;S. Feng
- 通讯作者:H. Beuther;J. D. Soler;W. Vlemmings;H. Linz;T. Henning;R. Kuiper;R. Rao;Rowan J. Smith;Takeshi Sakai;K. Johnston;Andrew Walsh;S. Feng
The Labyrinth of Star Formation
恒星形成的迷宫
- DOI:10.1007/978-3-319-03041-8_27
- 发表时间:2014
- 期刊:
- 影响因子:0
- 作者:Bonnell I
- 通讯作者:Bonnell I
Kinematic analysis of the super-extended H I disk of the nearby spiral galaxy M 83
附近螺旋星系 M 83 超扩展 H I 盘的运动学分析
- DOI:10.1051/0004-6361/202245290
- 发表时间:2023
- 期刊:
- 影响因子:6.5
- 作者:Eibensteiner C
- 通讯作者:Eibensteiner C
Gravity and Rotation Drag the Magnetic Field in High-mass Star Formation
- DOI:10.3847/1538-4357/abc019
- 发表时间:2020-10
- 期刊:
- 影响因子:0
- 作者:H. Beuther;J. Soler;H. Linz;T. Henning;C. Gieser;R. Kuiper;W. Vlemmings;P. Hennebelle;S. Feng;Rowan J. Smith;A. Ahmadi
- 通讯作者:H. Beuther;J. Soler;H. Linz;T. Henning;C. Gieser;R. Kuiper;W. Vlemmings;P. Hennebelle;S. Feng;Rowan J. Smith;A. Ahmadi
PHANGS-JWST First Results: Multiwavelength View of Feedback-driven Bubbles (the Phantom Voids) across NGC 628
PHANGS-JWST 第一个结果:NGC 628 上反馈驱动气泡(幻影空洞)的多波长视图
- DOI:10.3847/2041-8213/aca7b9
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Barnes A
- 通讯作者:Barnes A
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Rowan Smith其他文献
Characterizing the 3D Structure of Molecular Cloud Envelopes in the Cloud Factory Simulations
在云工厂模拟中表征分子云包络的 3D 结构
- DOI:
10.3847/1538-4357/ad306a - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Elijah Mullens;Catherine Zucker;Claire E. Murray;Rowan Smith - 通讯作者:
Rowan Smith
Rowan Smith的其他文献
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