Collaborative Research: Elements: Software: NCSI: HDR: Building An HPC/HTC Infrastructure For The Synthesis And Analysis Of Current And Future Cosmic Microwave Background Datasets

协作研究：要素：软件：NCSI：HDR：构建 HPC/HTC 基础设施以合成和分析当前和未来的宇宙微波背景数据集

• 批准号: 1835536
• 负责人: Colin Bischoff
• 金额: $ 3.9万
• 依托单位: University of Cincinnati Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1835536&HistoricalAwards=false
• 关键词: Collaborative; Research; Elements; Software; NCSI

The photons created in the Big Bang have experienced the entire history of the Universe, and every step in the evolution of the Universe has left its mark on their statistical properties. Observations of these photons have the potential to unlock the secrets of fundamental physics and cosmology, and to provide key insights into the formation and evolution of cosmic structures such as galaxies and galaxy clusters. Since the traces of these processes are so faint, one must gather enormous datasets to be able to detect them above the unavoidable instrumental and environmental noise. This in turn means that one must be able to use the most powerful computing resources available to be able to process the volume of data. These computing resources include both highly localized supercomputers and widely distributed grid and cloud systems. The PI and Co-Is will develop a common computing infrastructure able to take advantage of both types of resource, and demonstrate its suitability for ongoing and planned experiments by adapting the analysis pipelines of four leading Big Bang observatories to run within it. In addition to enabling the full scientific exploitation of these extraordinarily rich data sets, the investigators will mentor students engaged in this research and run summer schools in applied supercomputing.This project seeks to enable the detection of the faintest signals in Cosmic Microwave Background radiation, and in particular the pattern of peaks and troughs in the angular power spectra of its polarization field. In order to obtain these spectra one must first reduce the raw observations to maps of the sky in a way the preserve the correlations in the signal and characterizes the correlation in the noise. While the algorithms to perform this reduction are well-understood, applying them to data sets with quadrillions to quintillions of observations is a very serious computational challenge. The computational resources available to the project to address this include both high performance and high throughput computing systems, and one will need to take advantage of both of them. This project will develop a joint high performance/high throughput computational framework, and deploy within it analysis pipelines currently being fielded by the ongoing Atacama Cosmology Telescope, BICEP/Keck Array, POLARBEAR, and South Pole Telescope experiments. By doing so one will also demonstrate the frameworks efficacy for the planned Simons Observatory and CMB-S4 experiments.This project is supported by the Office of Advanced Cyberinfrastructure in the Directorate for Computer & Information Science & Engineering and the Division of Astronomical Sciences in the Directorate of Mathematical and Physical Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在大爆炸中创建的光子经历了整个宇宙的历史，宇宙演变的每一步都在其统计属性上留下了印记。对这些光子的观察有可能解锁基本物理和宇宙学的秘密，并为宇宙结构（例如星系和星系簇）的形成和演变提供关键见解。由于这些过程的痕迹是如此微弱，因此必须收集巨大的数据集，以便能够在不可避免的仪器和环境噪声上检测它们。反过来，这意味着必须能够使用可用的最强大的计算资源来处理数据量。这些计算资源包括高度局部的超级计算机以及广泛分布的网格和云系统。 PI和CO-IS将开发一种能够利用两种资源的常见计算基础架构，并通过调整四个领先的大型爆炸观测器的分析管道来运行它的分析管道，从而证明其对正在进行和计划的实验的适用性。除了对这些非常丰富的数据集进行全面的科学剥削之外，研究人员还将指导从事这项研究的学生，并运行应用超级计算的暑期学校。该项目旨在启用宇宙微波背景辐射中最微弱的信号，尤其是在其峰值和巨魔的模式中，尤其是在其角度偏光范围的峰值。为了获得这些光谱，必须首先将原始观测值降低至天空图，以保留信号中的相关性并表征噪声中的相关性。虽然要进行此减少的算法是充分理解的，但将它们应用于具有四十四千万观察结果的数据集，这是一个非常严重的计算挑战。该项目可解决此问题的计算资源包括高性能和高吞吐量计算系统，并且需要利用它们两个。该项目将开发一个联合高性能/高吞吐量计算框架，并在IT内部部署分析管道，目前由正在进行的Atacama宇宙学望远镜，二头肌/凯克阵列，Polarbear，Polarbear和South Pole望远镜实验范围内进行。通过这样做，人们还将证明计划已计划的Simons观测站和CMB-S4实验的框架功效。该项目得到了计算机与信息科学与工程局的高级网络基础设施办公室的支持，以及通过评估和物理科学的评估奖的天文学科学司，并反映了NSF的代表。智力优点和更广泛的影响审查标准。