Collaborative Research: CDS&E: Evolution of the high redshift galaxy and AGN populations

合作研究：CDS

基本信息

批准号：
1311956
负责人：
Thomas Quinn
金额：
$ 17万
依托单位：
University of Washington
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2013
资助国家：
美国
起止时间：
2013-09-01 至 2016-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1311956&HistoricalAwards=false
关键词：
Collaborative Research CDS&amp Evolution redshift

项目摘要

The Cold Dark Matter (CDM) paradigm for the formation of structure in the universe has had many successes, from predicting the spectrum of fluctuations in the Cosmic Microwave Background to explaining the clustering of galaxies. But CDM theory is still at odds with the observed properties of galaxies on scales where the baryonic physics of gas cooling, star formation and feedback are important. Modeling these processes in the cosmological context is extremely difficult owing to the immense dynamic range and resolution needed, and requires the most advanced computational hardware available as well as new computing techniques and algorithms. The proposing team has developed smooth-particle hydrodynamics (SPH) codes addressing these processes at the galaxy scale, and plans to adapt their algorithms to new architectures in order extend them to cosmological volumes. In addition to moving their star formation and feedback algorithms from legacy message-passing interface (MPI) codes to a parallel language (CHARM++), they intend to implement faster algorithms that can achieve the needed dynamic range and take full advantage of the hundreds of thousands of processing cores on the Blue Waters system. The results will be processed by a parallel pipeline that creates simulated observations. The simulations will also be used in a program targeting science pre-majors from under-represented groups, introducing them to the use of computer simulations in astrophysics and encouraging them toward technically oriented majors.

宇宙中结构形成的冷暗物质（CDM）范式取得了许多成功，从预测宇宙微波背景中的波动范围到解释星系的聚类。但是，CDM理论仍然与星系在气体冷却，恒星形成和反馈重要的尺度上观察到的特性不符。由于所需的巨大动态范围和分辨率，在宇宙学环境中对这些过程进行建模非常困难，并且需要可用的最先进的计算硬件以及新的计算技术和算法。提议的团队已经开发了平滑的粒子流体动力学（SPH）代码，该代码以银河规模解决了这些过程，并计划将其算法调整到新体系结构中，以便将其扩展到宇宙学的量。除了将其星形形成和反馈算法从传统消息插入界面（MPI）代码转移到平行语言（Charm ++）外，他们还打算实现更快的算法，这些算法可以实现所需的动态范围并充分利用数十万的动态范围在蓝色水域系统上加工核心。结果将通过创建模拟观测值的并行管道来处理。这些模拟还将用于针对代表性不足的小组的科学预裁的程序中，向他们介绍了计算机模拟在天体物理学中的使用，并鼓励他们朝着以技术为导向的专业迈进。