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Collabortive Research: Petascale Simulations of Merging Black Holes and Neutron Stars

Collabortive Research: Petascale Simulations of Merging Black Holes and Neutron Stars
合作研究:黑洞和中子星合并的千万亿次模拟
批准号:
1713678
负责人:
Saul Teukolsky
金额:
$1.89万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-06-01 至 2019-05-31

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The primary scientific objective of the research is to use Blue Waters to theoretically underpin and improve the ability of NSF's LIGO experiment to extract from observed gravitational waves the rich information that the waves carry. More general objectives are to contribute to our understanding of relativistic astrophysical systems, and contribute to the development of numerical methods and computer codes capable of carrying out robust and accurate simulations of highly dynamical curved space-time. This program will also serve as a training ground for young physicists and astrophysicists. It will teach them a wide variety of computational techniques. The research will include developing a next-generation supercomputer code called SpECTRE that will use radically new techniques. SpECTRE will be released as open source and simulation outputs will be made publicly available. This will enable other research to benefit from the work. Group members will vigorously pursue a wide range of activities that reach out to the broader scientific community and the general public.The research will consist of two components. In the first, the researchers will run numerical simulations on Blue Waters using the Spectral Einstein Code (SpEC) to produce gravitational waveforms for binary black holes. These waveforms, which take weeks to months to produce, will then be used to develop a numerical surrogate model that can evaluate a single waveform in milliseconds while retaining the accuracy of full numerical simulations; this surrogate model will be suitable for direct use in LIGO data analysis. The second component will develop, and run on Blue Waters, the new code SpECTRE for numerical relativity simulations with matter and radiation. SpECTRE uses Discontinuous Galerkin finite element methods. It is designed for high accuracy and high scalability on current and future supercomputers by following a novel task-based parallelization paradigm. SpECTRE's initial version already implements general-relativistic magnetohydrodynamics. It will be upgraded to handle the dynamical spacetimes of neutron star-neutron star and black hole-neutron star mergers and stellar collapse, including nuclear-theory based hot equations of state and neutrinos. SpECTRE will be applied to compute high-accuracy ultra-long neutron star inspiral simulations on Blue Waters to predict gravitational wave signals and help LIGO constrain the nuclear equation of state.
期刊论文(24)
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科研奖励(0)
会议论文
DOI: 10.1103/physrevd.96.024058
发表时间: 2017-05
期刊: Physical Review D
影响因子: 5
作者: [J. Blackman;Scott E. Field;M. Scheel;C. Galley;C. Ott;M. Boyle;Lawrence E. Kidder;H. Pfeiffer;B. Szil'agyi]
通讯作者: J. Blackman;Scott E. Field;M. Scheel;C. Galley;C. Ott;M. Boyle;Lawrence E. Kidder;H. Pfeiffer;B. Szil'agyi
DOI: 10.1103/physrevd.99.024018
发表时间: 2018-02
期刊: Physical Review D
影响因子: 5
作者: [N. Deppe;Lawrence E. Kidder;M. Scheel;S. Teukolsky]
通讯作者: N. Deppe;Lawrence E. Kidder;M. Scheel;S. Teukolsky
DOI: 10.1103/physrevd.98.083014
发表时间: 2018
期刊: Physical Review D
影响因子: 5
作者: [Afle, Chaitanya, Gupta, Anuradha, Gadre, Bhooshan, Kumar, Prayush, Demos, Nick, Lovelace, Geoffrey, Choi, Han Gil, Lee, Hyung Mok, Mitra, Sanjit, Boyle, Michael]
通讯作者: Boyle, Michael
DOI: 10.1103/physrevd.99.124005
发表时间: 2018-08
期刊: Physical Review D
影响因子: 5
作者: [Prayush Kumar;J. Blackman;Scott E. Field;M. Scheel;C. Galley;M. Boyle;Lawrence E. Kidder;H. Pfeiffer;B. Szilágyi;S. Teukolsky]
通讯作者: Prayush Kumar;J. Blackman;Scott E. Field;M. Scheel;C. Galley;M. Boyle;Lawrence E. Kidder;H. Pfeiffer;B. Szilágyi;S. Teukolsky
21
    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
    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)