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Collaborative Research: The First Galaxies and their Stellar Populations

Collaborative Research: The First Galaxies and their Stellar Populations
合作研究:第一个星系及其恒星群
批准号:
1109243
负责人:
Michael Norman
金额:
$34.59万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-07-01 至 2015-06-30

项目摘要

项目成果

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中文摘要
翻译
AST-1109243/1109008 Norman/Cololds自适应网格细化宇宙辐射流体动力学模拟由这个小组开创,最近已经扩展到包括足够的物理和足够的分辨率,以直接模拟第三星族恒星形成的小型晕对第一个星系的影响。 这一技术进步发生时,地面和太空的观测正在提供星系的天体物理数据,这些数据的红移范围在6到8.5之间,这是以前无法想象的。 这些观测结果表明光度函数的亮端发生了实质性的演变,而暗端的陡峭斜率与高红移矮星主导再电离光子预算的观点一致。 它们还揭示了在这个红移区间内恒星种群的实质性演化。 模拟能力的进步也正好赶上了第一台由NSF支持的持续千万亿次超级计算机Blue沃茨的开始运行。结合这些软件、硬件和数据的进步,该项目将模拟第一批星系在整个质量和光度范围内的形成和演化,并通过模拟图像和光谱将结果与数据进行比较。 这将导致对第三星族初始质量函数、反馈效应、超大质量黑洞的生长,甚至暗物质功率谱的推断,并对气体到星系的吸积速率施加重要限制。 这些模拟将改善对电离辐射逃逸到星系际介质中的估计,并直接解决高红移星系是否能够使宇宙重新电离的问题。 由于千万亿次计算硬件、模拟软件和算法的进步,这是第一次这种近似第一性原理的模拟是可行的,也是第一次获得相关的观测约束。这种规模的模拟对天文学界、高性能计算界和更大的科学和技术好奇的公众产生了强烈的影响。它们推动硬件、软件和网络基础设施的发展。 该项目是首批进入NSF新的千万亿次超级计算机的六个项目之一,所需的代码增强将普遍可用。 此外,还计划将这些科学成果纳入圣地亚哥巴尔博亚公园鲁本·H·弗利特科学博物馆的一部新的IMAX电影,预计将于2013年上映。
英文摘要
AST-1109243/1109008Norman/ReynoldsAdaptive mesh refinement cosmological radiation hydrodynamic simulations pioneered by this group have recently expanded to include sufficient physics and enough resolution to simulate directly the prior effects of Population III star-forming mini-halos on the first galaxies. This technical advance has occurred just when observations from both ground and space are providing astrophysical data on galaxies in the previously unimaginable range of redshifts from 6 to 8.5. These observations indicate substantial evolution in the bright end of the luminosity function, and a steep faint end slope consistent with the notion that high-redshift dwarfs dominate the reionization photon budget. They also reveal substantial evolution in stellar populations over this redshift interval. The advance in simulation capability is also well timed for the start of operations of the first NSF-supported sustained petaflops supercomputer, Blue Waters.Combining these software, hardware, and data advances, this project will simulate the formation and evolution of the first galaxies across the entire range of masses and luminosities observed, and compare the results to the data through simulated images and spectra. This will lead to inferences about the Population III initial mass function, feedback effects, the growth of supermassive black holes, and even the dark matter power spectrum, and place important constraints on the accretion rate of gas onto galaxies. The simulations will improve estimates of the escape of ionizing radiation into the intergalactic medium, and directly address whether high-redshift galaxies are capable of reionizing the Universe. This is the very first time such near-first-principles simulations are feasible, due to the convergence of petascale computing hardware, simulation software, and algorithmic advances, and also the first time that relevant observational constraints are being obtained.Simulations at this scale have a strong impact on the astronomical community, the high performance computing community, and the larger science and technology-curious public. They drive the development of the hardware, software, and networking infrastructure. This project is one of six selected for first access to NSF's new petascale supercomputer, and the required code enhancements will be made generally available. There are also plans to include these scientific results in a new IMAX film by the Reuben H.Fleet Science Museum in Balboa Park, San Diego, anticipated in 2013.
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Collaborative Research: CDS&E: AI-Enhanced Exascale Simulations Of The Earliest Galaxies
  • 批准号:
    2108076
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $46.35万
  • 财政年份:
    2021
  • 负责人:
    Michael Norman
  • 依托单位:
CloudBank: Managed Services to Simplify Cloud Access for Computer Science Research and Education
  • 批准号:
    1925001
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $500.0万
  • 财政年份:
    2019
  • 负责人:
    Michael Norman
  • 依托单位:
Category I. Computing without Boundaries: Cyberinfrastructure for the Long Tail of Science
  • 批准号:
    1928224
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1000.0万
  • 财政年份:
    2019
  • 负责人:
    Michael Norman
  • 依托单位:
Collaborative Research: Building the Community for the Open Storage Network
  • 批准号:
    1747490
  • 项目类别:
    Standard Grant
  • 资助金额:
    $43.24万
  • 财政年份:
    2018
  • 负责人:
    Michael Norman
  • 依托单位:
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Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
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