课题基金 / 基金详情

WOU-MMA: Gravitational Radiation and Relativistic Astrophysics

WOU-MMA: Gravitational Radiation and Relativistic Astrophysics
WOU-MMA:引力辐射和相对论天体物理学
批准号:
2309211
负责人:
Mark Scheel
金额:
$107.55万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2026-08-31

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英文摘要
This award supports research in relativity and relativistic astrophysics, and it addresses the priority areas of NSF's "Windows on the Universe" Big Idea. Since 2019, NSF's Laser Interferometer Gravitational-Wave Observatory (LIGO) has been regularly detecting gravitational waves (GWs) (ripples in space and time) emitted by the collision of compact objects that are billions of light-years from Earth. Most of these objects have been black holes, others have been neutron stars. From the GWs, scientists can measure properties (locations, masses, spins) of the objects and learn about how they might have formed and how they warp space and time as they collide; for neutron stars, the collision also produces gamma-rays and other electromagnetic radiation, and together with the GWs this teaches scientists how matter behaves at ultra-high densities and how some chemical elements were formed. But these studies require comparing the detected GWs with detailed predictions of the waves. The predictions are made using the equations of General Relativity, written down by Einstein in 1915 but unsolvable (for colliding compact objects) until about 2005 with the development of advanced methods and powerful supercomputers. This project supports theoretical work designed to underpin and improve LIGO's ability to extract from observed GWs the rich information that the waves carry, and to improve the interpretation of LIGO events with electromagnetic counterparts. This includes the improvement and use of the Spectral Einstein Code (SpEC), currently the most accurate computer code for solving Einstein's equations for black hole binaries. SpEC will be used to carry out numerical solutions of black-hole collisions to further develop a public catalog of GW predictions for the purpose of analyzing LIGO data. In addition, a next-generation public computer code SpECTRE, under development, will be used to predict GWs from two colliding neutron stars, from a black hole colliding with a neutron star, and from supernova explosions. This program will also serve as a training ground for young physicists and astrophysicists. The group members will reach out to the general public through lectures, interactive web pages, and YouTube videos.By combining analytical techniques and numerical simulations with the Spectral Einstein Code (SpEC), the team will: (i) improved gravitational waveforms for Binary Black Holes (BBH) will be generated for use in LIGO data analysis in poorly-explored regions of the BBH parameter space, and will be used to produce surrogate models that are improved in accuracy, parameter-space coverage, and included physics (e.g. eccentricity, gravitational memory); and (ii) the dynamical behavior of highly curved spacetime will be explored via analytic, perturbative, and numerical approaches, which will include studies of quasinormal mode excitations and nonlinearities in ringdowns, and investigations of beyond-Einstein theories of gravitation and testing them using LIGO observations.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: Elements: A task-based code for multiphysics problems in astrophysics at exascale
  • 批准号:
    2209656
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.75万
  • 财政年份:
    2022
  • 负责人:
    Mark Scheel
  • 依托单位:
WOU-MMA: Gravitational Radiation and Relativistic Astrophysics
  • 批准号:
    2011961
  • 项目类别:
    Standard Grant
  • 资助金额:
    $105.0万
  • 财政年份:
    2020
  • 负责人:
    Mark Scheel
  • 依托单位:
Elements:Collaborative Proposal: A task-based code for multiphysics problems in astrophysics at exascale
  • 批准号:
    1931266
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.5万
  • 财政年份:
    2019
  • 负责人:
    Mark Scheel
  • 依托单位:
Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars
  • 批准号:
    1713694
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.5万
  • 财政年份:
    2017
  • 负责人:
    Mark Scheel
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  • 项目类别:
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