Collaborative Research: Massively Parallel Simulations of Compact Objects
Collaborative Research: Massively Parallel Simulations of Compact Objects
批准号:
1912930
负责人:
Hari Sundar
金额:
$15.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-07-15 至 2023-06-30
中文摘要
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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. The LIGO and VIRGO gravitational wave detectors are beginning to make new discoveries on a weekly basis. The gravitational waves that they detect are generated in the mergers of two compact objects, such as black holes or neutron stars. Gravitational waves carry important information about their origin that can extracted through careful comparisons to theoretical calculations, such as full-scale computer simulations of binary mergers. This project will study mergers of binary neutron stars and black holes using computer simulations created by Dendro-GR, a new computer code that runs very efficiently on the largest supercomputers. This work will also help push forward current computational capabilities to permit better and faster waveform calculations to be made. These efforts will aid in expanding the use of gravitational wave detections from confirming general relativity to providing additional, even more stringent tests of both the theory and other possible competing theories. Combining data from computer simulations with both gravitational and electromagnetic observations will allow us to probe, in a manner heretofore impossible, the physics of black holes and neutron stars, of gamma-ray bursts, of kilonovae and supernovae, and of even the formation of the heaviest elements on the periodic table. Work done for this project will promote the progress of science and contribute to undergraduate and graduate training in multiple STEM fields including computer science, mathematics, and physics. Finally, Dendro-GR is an open source project.The overarching purpose of this project is to study the dynamics of merging binary compact objects at the frontier of current computational capabilities. The wavelet-based refinement and computational efficiency of Dendro-GR allows the modeling of a wider variety of possible merger scenarios, enhancing the ability to both detect and understand these high-energy events, as well as search for possible new physics beyond our current gravitational models. The efforts will be directed primarily at the following goals: (1) Deploying new computational algorithms and abilities to determine gravitational waveforms for binary neutron star inspirals and mergers of sufficient accuracy that they are usable in improved waveform catalogs. (2) Investigating binary black hole inspirals and mergers with large mass ratios both to understand this class of largely unexplored binaries and to expand the range of current waveform catalogs. (3) Calculating waveforms from binary black hole mergers within a family of alternative gravitational theories in order to probe possible deviations from the predictions of general relativity and to search for new physics beyond our current model for gravity.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(4)
专著(0)
科研奖励(0)
会议论文
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Solving PDEs in space-time: 4D tree-based adaptivity, mesh-free and matrix-free approaches
求解时空偏微分方程:基于 4D 树的自适应性、无网格和无矩阵方法
DOI:
10.1145/3295500.3356198
发表时间:
2019
期刊:
Storage and Analysis
影响因子:
--
作者:
[Ishii, Masado, Fernando, Milinda, Saurabh, Kumar, Khara, Biswajit, Ganapathysubramanian, Baskar, Sundar, Hari]
通讯作者:
Sundar, Hari
Scalable Local Timestepping on Octree Grids
八叉树网格上的可扩展本地时间步长
DOI:
10.1137/20m136013x
发表时间:
2022
期刊:
SIAM Journal on Scientific Computing
影响因子:
3.1
作者:
[Fernando, Milinda, Sundar, Hari]
通讯作者:
Sundar, Hari
Massively parallel simulations of binary black holes with adaptive wavelet multiresolution
自适应小波多分辨率双黑洞大规模并行模拟
DOI:
10.1103/physrevd.107.064035
发表时间:
2023
期刊:
Physical Review D
影响因子:
5
作者:
[Fernando, Milinda, Neilsen, David, Zlochower, Yosef, Hirschmann, Eric W., Sundar, Hari]
通讯作者:
Sundar, Hari
DOI:
10.1109/sc41404.2022.00080
发表时间:
2022-11
期刊:
SC22: International Conference for High Performance Computing, Networking, Storage and Analysis
影响因子:
--
作者:
[Milinda Fernando;D. Neilsen;E. Hirschmann;Y. Zlochower;H. Sundar;O. Ghattas;G. Biros]
通讯作者:
Milinda Fernando;D. Neilsen;E. Hirschmann;Y. Zlochower;H. Sundar;O. Ghattas;G. Biros
Collaborative Research: Accelerating the Pace of Discovery in Numerical Relativity by Improving Computational Efficiency and Scalability
-
批准号:2207616
-
项目类别:Standard Grant
-
资助金额:$18.0万
-
财政年份:2022
-
负责人:Hari Sundar
-
依托单位:
Collaborative Research: Engineering Fractional Photon Transfer for Random Laser Devices
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批准号:2110215
-
项目类别:Standard Grant
-
资助金额:$9.97万
-
财政年份:2021
-
负责人:Hari Sundar
-
依托单位:
Collaborative Research: CDS&E: A framework for solution of coupled partial differential equations on heterogeneous parallel systems
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批准号:2004236
-
项目类别:Standard Grant
-
资助金额:$36.7万
-
财政年份:2020
-
负责人:Hari Sundar
-
依托单位:
OAC Core: Small: Architecture and Network-aware Partitioning Algorithms for Scalable PDE Solvers
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批准号:2008772
-
项目类别:Standard Grant
-
资助金额:$49.93万
-
财政年份:2020
-
负责人:Hari Sundar
-
依托单位:
CDS&E: Collaborative Research: Strategies for Managing Data in Uncertainty Quantification at Extreme Scales
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批准号:1808652
-
项目类别:Standard Grant
-
资助金额:$39.61万
-
财政年份:2018
-
负责人:Hari Sundar
-
依托单位:
CRII: CI: Scalable Multigrid Algorithms for Solving Elliptic PDEs on Power-Efficient Clusters
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批准号:1464244
-
项目类别:Standard Grant
-
资助金额:$17.5万
-
财政年份:2015
-
负责人:Hari Sundar
-
依托单位:
国内基金
海外基金
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Research on Quantum Field Theory without a Lagrangian Description
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批准号:24ZR1403900
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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
-
批准号:31224802
-
项目类别:专项基金项目
-
资助金额:24.0万元
-
批准年份:2012
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负责人:程磊
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依托单位:
Cell Research
-
批准号:31024804
-
项目类别:专项基金项目
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资助金额:24.0万元
-
批准年份:2010
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负责人:程磊
-
依托单位:
Cell Research (细胞研究)
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批准号:30824808
-
项目类别:专项基金项目
-
资助金额:24.0万元
-
批准年份:2008
-
负责人:张爱兰
-
依托单位:
Research on the Rapid Growth Mechanism of KDP Crystal
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批准号:10774081
-
项目类别:面上项目
-
资助金额:45.0万元
-
批准年份:2007
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负责人:滕冰
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依托单位: