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Collaborative Research: Frameworks: The Einstein Toolkit ecosystem: Enabling fundamental research in the era of multi-messenger astrophysics

Collaborative Research: Frameworks: The Einstein Toolkit ecosystem: Enabling fundamental research in the era of multi-messenger astrophysics
合作研究:框架:爱因斯坦工具包生态系统:在多信使天体物理学时代实现基础研究
批准号:
2227105
负责人:
Zachariah Etienne
金额:
$33.59万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-08-31

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中文摘要
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英文摘要
A team of experts from five institutions (University of Illinois Urbana-Champaign, Georgia Institute of Technology, Rochester Institute of Technology, Louisiana State University, and West Virginia University) are collaborating on further development of the Einstein Toolkit, a community-driven, open-source cyberinfrastructure ecosystem providing computational tools supporting research in computational astrophysics, gravitational physics, and fundamental science. The new tools address current and future challenges in gravitational wave source modeling, improve the scalability of the code base, and support an expanded science and user community around the Einstein Toolkit.The Einstein Toolkit is a community-driven suite of research-grade Python codes for performing astrophysics and gravitational wave calculations. The code is open-source, accessible via Conda (an open source package management system) and represents a long-term investment by NSF in providing such computational infrastructure. The software is designed to simulate compact binary stars as sources of gravitational waves. This project focuses on the sustainability of the Einstein Toolkit; specific research efforts center around the development of three new software capabilities for the toolkit: • CarpetX -- a new mesh refinement driver and interface between AMReX, a software framework containing the functionality to write massively parallel block-structured adaptive mesh refinement (AMR) code, and Cactus, a framework for building a variety of computing applications in science and engineering;• NRPy+ -- a user-friendly code generator based on Python; and • Canuda -- a new physics library to probe fundamental physics. Integration of graphics processing units (GPUs) will incorporate modern heterogeneous computing devices into the system and will enhance the capability of the toolkit. The end product is sustainable through integration into the Einstein Toolkit, yet also includes an active community maintaining and enhancing the foundational components. Broader impacts are enhanced through training, documentation and a support infrastructure that reduces the barrier to adoption by the community. The team is also creating a science portal with additional educational and showcase resources. This award by the Office of Advanced Cyberinfrastructure is jointly supported by the National Science Foundation's Big Idea activities in Windows on the Universe (WoU).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.
期刊论文(2)
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会议论文
DOI: 10.1103/physrevd.107.044037
发表时间: 2022-08
期刊: Physical Review D
影响因子: 5
作者: [Leonardo R. Werneck;Z. Etienne;A. Murguia-Berthier;R. Haas;F. Cipolletta;S. Noble;Lorenzo Ennoggi]
通讯作者: Leonardo R. Werneck;Z. Etienne;A. Murguia-Berthier;R. Haas;F. Cipolletta;S. Noble;Lorenzo Ennoggi
DOI: 10.1103/physrevd.106.083015
发表时间: 2021-12
期刊: Physical Review D
影响因子: 5
作者: [F. L. Lopez Armengol;Z. Etienne;S. Noble;B. Kelly;Leonardo R. Werneck;B. Drachler;M. Campanelli]
通讯作者: F. L. Lopez Armengol;Z. Etienne;S. Noble;B. Kelly;Leonardo R. Werneck;B. Drachler;M. Campanelli
Collaborative Research: Measuring G with a Magneto-Gravitational Trap
  • 批准号:
    2227079
  • 项目类别:
    Standard Grant
  • 资助金额:
    $11.85万
  • 财政年份:
    2022
  • 负责人:
    Zachariah Etienne
  • 依托单位:
Collaborative Research: WoU-MMA: Toward Binary Neutron Star Mergers on a Moving-mesh
  • 批准号:
    2227080
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.63万
  • 财政年份:
    2022
  • 负责人:
    Zachariah Etienne
  • 依托单位:
Collaborative Research: WoU-MMA: Toward Binary Neutron Star Mergers on a Moving-mesh
Boosting Algorithmic Efficiency: Numerical Relativity in Dynamical, Curvilinear Coordinates
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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)