Collaborative Research: Toward Petascale Simulations of Early Cosmic Evolution

合作研究：早期宇宙演化的千万亿次模拟

• 批准号: 0708960
• 负责人: Michael Norman
• 金额: $ 30.76万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0708960&HistoricalAwards=false
• 关键词: Collaborative; Research; Toward; Petascale; Simulations

AST-0708960/0707505/0708309Norman/Ostriker/RicottiThis is a three-award collaborative project, led by Dr Norman, to harness the power of future petascale supercomputers for self-consistent simulations of early structure formation in cosmologically representative volumes. Astronomers' expectation of what will be observed at high redshifts (above 7) by future major facilities is largely based on theoretical and numerical models of the early growth of cosmic structure in a standard Lambda-CDM cosmological framework. The new simulations will span local and global scales using adaptive mesh refinement (AMR) technology developed specifically for petascale computers. This enables simulations with ten billion particles, a spatial dynamic range of a hundred thousand, and complex baryonic physics including radiative and chemical feedback. As theories are at present poorly constrained by observations, an equally important effort will be a rigorous attempt at uncertainty quantification and sensitivity analysis. The study will thus address forefront questions in cosmology using the most complete physical models running on the most powerful computers, analyzed using best practices. The result will be comprehensive models of early cosmic evolution along with a rigorous assessment of their predictive value.This work will substantially advance the state-of-the-art in numerical multi-physics cosmological simulations, which can be expected to continue previous successful impacts of code availability, both within and outside of the astrophysics community. The new petascale methodologies will also be publicized well outside the usual astronomy circles, and the enhanced version of the Enzo community code will be released to the public. In addition, both the numerical results and the synthetic observations will be published to the international research community using mechanisms provided by the National Virtual Observatory.

AST-0708960/0707505/0708309 Norman/Ostriker/Ricotti这是一个由Norman博士领导的三奖合作项目，旨在利用未来千万亿次超级计算机的能力，对宇宙学代表性卷中的早期结构形成进行自洽模拟。 天文学家对未来主要设施在高红移（7以上）下观测到的结果的预期，主要是基于标准Lambda-CDM宇宙学框架中宇宙结构早期增长的理论和数值模型。 新的模拟将使用专门为千万亿次计算机开发的自适应网格细化（AMR）技术跨越局部和全球尺度。 这使得模拟100亿个粒子，10万的空间动态范围，以及复杂的重子物理，包括辐射和化学反馈。 由于理论目前不受观测的约束，同样重要的努力将是对不确定性量化和敏感性分析的严格尝试。 因此，这项研究将使用在最强大的计算机上运行的最完整的物理模型，并使用最佳实践进行分析，来解决宇宙学中的前沿问题。 其结果将是早期宇宙演化的全面模型，沿着对其预测价值进行严格评估，这项工作将大大推进最先进的数值多物理场宇宙学模拟，预计将继续在天体物理学界内外发挥代码可用性的成功影响。 新的千万亿次方法也将在通常的天文学圈子之外广为宣传，恩佐社区代码的增强版将向公众发布。 此外，将利用国家虚拟观测站提供的机制向国际研究界公布数值结果和综合观测结果。