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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2022-08-31

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英文摘要
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.
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Collaborative Research: Imaging the Beginning of Time from the South Pole: Completing the BICEP Array Survey
  • 批准号:
    2220447
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $80.04万
  • 财政年份:
    2022
  • 负责人:
    Colin Bischoff
  • 依托单位:
Understanding instrumental systematics for the CMB-S4 ultra-deep survey
  • 批准号:
    2009469
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.77万
  • 财政年份:
    2020
  • 负责人:
    Colin Bischoff
  • 依托单位:
国内基金
海外基金
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:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)