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Formation of the First Galaxies: Predictions for the Next Generation of Observatories

Formation of the First Galaxies: Predictions for the Next Generation of Observatories
第一个星系的形成:对下一代天文台的预测
批准号:
0832662
负责人:
Brian O'Shea
金额:
$4.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-05-01 至 2013-04-30

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英文摘要
This proposal is for a provisional allocation of time on the Blue Waters computer system, due to become operational in 2011, and for travel funds to support technical coordination by various collaborators with the Blue Waters project team and vendor technical team.The proposed work will test the hypothesis that the first galaxies were responsible for re-ionizing the early universe and the source of large amounts of metal in the intergalactic medium. The researchers also plan to predict the properties of the population of galaxies with red-shifts in the range 8 z 15 that will be observed with next-generation astronomical observing systems. It is anticipated that these predictions will aid in the interpretation of the output from the new observatories.The work will consist of large simulations using the Enzo code. The questions that will be addressed are: (1) What are the first galaxies; (2) What physical processes dominate the behavior of baryons in these galaxies; (3) When and how did re-ionization occur; and (4) What sources caused re-ionization? To answer these, the Enzo code will be extended to include: an accurate treatment of the chemo-thermal evolution of gas so that molecular clouds can form; sufficient resolution to characterize the mean properties of the molecular clouds; development of a sub-grid model for primordial and metal-enriched star formation that depends only on the mean properties of the molecular clouds; accurate incorporation of radiative transfer effects; and supernova feedback. The principal investigator is a new faculty member and the simulation code being developed should be usable by a number of other researchers beyond the project team.
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CC* Compute: The MSU Data Machine - a high-memory, GPU-enabled compute cluster for data-intensive and AI applications
  • 批准号:
    2200792
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.99万
  • 财政年份:
    2022
  • 负责人:
    Brian O'Shea
  • 依托单位:
CC* Networking Infrastructure: A Science DMZ For Quantitative Biology and Precision Agriculture
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    2018432
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.31万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
REU Site: iCER ACRES: iCER Advanced Computational Research Experience for Students
  • 批准号:
    1949912
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.12万
  • 财政年份:
    2020
  • 负责人:
    Brian O'Shea
  • 依托单位:
Travel grant for LRAC proposal AST20004: The role of low collisionality in compressible, magnetized turbulence
  • 批准号:
    2031219
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.95万
  • 财政年份:
    2020
  • 负责人:
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国内基金
海外基金
“Lignin-first”策略下镁碱催化原生木质素定向氧化为小分子有机酸的机制研究
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    21908075
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    25.0万元
  • 批准年份:
    2019
  • 负责人:
    蒋叶涛
  • 依托单位:
基于First Principles的光催化降解PPCPs同步脱氮体系构建及其电子分配机制研究
  • 批准号:
    51778175
  • 项目类别:
    面上项目
  • 资助金额:
    59.0万元
  • 批准年份:
    2017
  • 负责人:
    丁杰
  • 依托单位: