课题基金 / 基金详情

Numerical Computation of Black Hole Coalescence

Numerical Computation of Black Hole Coalescence
黑洞合并的数值计算
批准号:
0084729
负责人:
Saul Teukolsky
金额:
$16.75万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-11-15 至 2002-10-31

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中文摘要
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英文摘要
Drs. L. Kidder and S. Teukolsky will carry out research in numericalgravitation, and will develop new algorithms for supercomputersimulations of solutions to the Einstein Equations. The focus is totrack the coalescence and merger of binary black hole systems and tocalculate the gravitational waveform emitted by such processes. Theinvestigators will apply the computational technique of pseudospectralcollacation to this problem. The study of reliable waveforms is particularly timely.The theoretical solution of this problem is remarkably difficult.While the technique used in this study are new for this application, ithas proven successful in many other areas, and shows much promise forimproving computational efficiency in this area. The radiationprocesses under study are the primary target for gravitational wavedetectors, such as LIGO, currently under construction.
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WoU-MMA: Research in Black Hole Physics and Relativistic Astrophysics
  • 批准号:
    2308615
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2023
  • 负责人:
    Saul Teukolsky
  • 依托单位:
Collaborative Research: Elements: A task-based code for multiphysics problems in astrophysics at exascale
  • 批准号:
    2209655
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.72万
  • 财政年份:
    2022
  • 负责人:
    Saul Teukolsky
  • 依托单位:
WoU-MMA: Research in Black Hole Physics and Relativistic Astrophysics
  • 批准号:
    2207342
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2022
  • 负责人:
    Saul Teukolsky
  • 依托单位:
Elements:Collaborative Proposal: A task-based code for multiphysics problems in astrophysics at exascale
  • 批准号:
    1931280
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.19万
  • 财政年份:
    2019
  • 负责人:
    Saul Teukolsky
  • 依托单位:
国内基金
海外基金
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  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    李嘉琛
  • 依托单位:
基于g-computation控制纵向数据未测混杂因素的因果推断模型构建及应用研究
  • 批准号:
    81903416
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    19.0万元
  • 批准年份:
    2019
  • 负责人:
    陈永杰
  • 依托单位: