This National Science Foundation (NSF) Project Grant, funded under the Mathematical and Physical Sciences program (CFDA 47.049), supports research into multiscale simulations of neutron star mergers. The $243,988 award to The Pennsylvania State University (Penn State) will develop new techniques, inspired by weather forecasting methods, to predict the motion of matter during these powerful cosmic events and model the resulting gravitational wave and electromagnetic signals. The project aims to...
The Pennsylvania State University (Penn State) received a $478,283 Project Grant award from the National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences on September 1, 2021 to complete work by August 31, 2024. The grant funds the WOU-MMA: HIGH-ENERGY EMISSION FROM NEUTRON STAR MERGERS project under the NSF's Mathematical and Physical Sciences program (CFDA 47.049). The project aims to advance understanding of major problems confronting the nation by promoting...
This National Science Foundation Project Grant award provides $180,000.00 to the University of Massachusetts Dartmouth from July 1, 2023 to June 30, 2026 under the Mathematical and Physical Sciences program (CFDA 47.049). The primary goal of the project is to develop novel numerical simulations and data-driven models to predict gravitational wave signals from mergers of black holes and neutron stars. This research will test Einstein's general relativity under extreme conditions and help maximize...
This Project Grant award for $150,000 by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) supports research in gravitational wave astrophysics. The research aims to solve Einstein's equations numerically using simulations run on NSF-funded supercomputers to study the inspiral and merger of binary neutron star systems and the associated gravitational waves. The results will increase understanding of gravitational wave...
This Project Grant award of $120,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research by Washington State University (WSU) on the merger of neutron stars and black holes. The project will use long-duration (multi-second) 2D numerical simulations to study the extreme physics involved in these events, including strong gravity, nuclear matter, magnetic fields, and radiation. The research aims to improve models of turbulence...
The National Science Foundation (NSF), through its Mathematical and Physical Sciences program (CFDA 47.049), has awarded The Pennsylvania State University (Penn State) a $599,488 project grant titled "Discovering Neutron Stars and Black Holes with LIGO." The three-year grant, effective from July 1, 2023 to June 30, 2026, will support research in relativity and relativistic astrophysics, focused on analyzing data from the NSF's Laser Interferometer Gravitational-Wave Observatory...
This federal Project Grant award, issued by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, will enhance existing search strategies and analysis capabilities for discovering and characterizing the coalescence of compact binary systems, such as black holes and neutron stars. The $200,000 award, with a performance period from August 1, 2024 to July 31, 2027, will fund four key activities: (i) extending multi-messenger Bayesian inference...
This $120,000 Project Grant award, provided by the National Science Foundation (NSF) under the CFDA program 47.049 Mathematical and Physical Sciences, supports fundamental research on gravitational astrophysics and computational methods to advance scientific understanding of neutron stars, black holes, gravitational waves, and the large-scale structure of the universe. The award will fund a series of research projects at the University of California, San Diego (UCSD) focused on developing new...
This $259,995 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of an open-source, GPU-enabled computational code for modeling the physics of compact object mergers, such as binary neutron star and black hole-neutron star collisions. The code will leverage advanced neutrino transport models and high-performance GPU computing to enable more accurate and scalable simulations of these...
This $1.2 million Project Grant from the National Science Foundation Directorate for Mathematical and Physical Sciences will fund research into the role of the dynamo effect in neutron star mergers from 2022 to 2025. As part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), the grant supports efforts to elucidate the dynamo processes generated by instabilities in the pre-merger and post-merger phases of neutron star collisions. Insights into how accompanying magnetic...