Project Grant 2206522
- This $1,969,052 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports the development of an open-source software library to enable coordinated follow-up observations across diverse astronomical observatories. The project, led by the Las Cumbres Observatory Global Telescope Network, aims to streamline the process of requesting observations from optical, infrared, radio, X-ray, and ultraviolet telescopes in response to time-domain...
- Federal Project Grant Award Summary The University of Virginia received a $407,957 Project Grant from the National Science Foundation (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025 through August 31, 2028. This award supports computational astrophysics research utilizing supercomputer simulations to investigate the interactions between red giant stars and their close-orbiting companions, including planets...
- Federal Grant Award Summary The University of Virginia received a $652,781 Project Grant award from the National Science Foundation's Division of Astronomical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025 through August 31, 2028. The primary deliverable is a multi-scale suite of cosmological hydrodynamic simulations designed to investigate the origin and formation mechanisms of supermassive black holes in the early universe. The research...
- This Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $449,485 to the University of Virginia from October 2022 through September 2025. The funding supports collaborative research between teams in Virginia and New Mexico to investigate the nature and origin of massive young stars through a combined theoretical and observational approach. Over 100 very young, massive stars will be observed with radio telescopes to develop a...
- This three-year project grant from the National Science Foundation Division of Astronomical Sciences totals $360,645 to develop new statistical and machine learning methods and software to improve the detection, characterization, and classification of astrophysical objects using multi-epoch imaging survey data. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), key products include new algorithms for classifying variable and transient objects based on light curves...
- Federal Grant Award Summary The National Science Foundation's Division of Astronomical Sciences awarded $445,607 to the University of Virginia under the Mathematical and Physical Sciences (CFDA 47.049) program for a five-year CAREER grant spanning August 1, 2026 through July 31, 2031. The project will develop an artificial intelligence (AI)-based framework for quantifying uncertainties in cosmological simulations of galaxy formation. Primary deliverables include the creation of a fully automated...
- This Project Grant from the National Science Foundation Division of Astronomical Sciences totals $134,673 to support research optimizing discovery with multi-epoch photometric survey data. Funded under the Mathematical and Physical Sciences program, the award will see the development of new statistical and machine learning methods and open-source software to improve detection, characterization, and classification of astrophysical objects in multi-epoch imaging surveys. A team of astronomers,...
- Federal Project Grant Award Summary The University of Virginia received a $602,466 Project Grant award from the National Science Foundation's Division of Astronomical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective September 1, 2025, through August 31, 2028. The project delivers a comprehensive research and educational initiative investigating the formation and evolution of complex organic molecules (COMs) in star-forming regions. The principal...
- This three-year, $110,972 Project Grant from the National Science Foundation's Division of Astronomical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will support the development of new statistical and machine learning methods and software to improve the detection, characterization, and classification of astrophysical objects using multi-epoch imaging survey data. The California Institute of Technology will apply innovative algorithms to optimize the discovery...
- Federal Project Grant Award Summary The National Science Foundation's Division of Astronomical Sciences awarded $404,960 to the University of Massachusetts on August 1, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049) to support collaborative research on simulations and synthetic observations of the earliest galaxies and active galactic nuclei. The three-year project, concluding July 31, 2028, will develop advanced computer models using the exascale-capable Enzo-E code to...
This $586,924 National Science Foundation project grant supports the development of scalable and efficient astronomical data processing software among distributed observatories. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the University of Virginia team will design system software focusing on performance measurement and analysis of data processing jobs run on the National Radio Astronomy Observatory's Common Astronomy Software Applications and machine/deep learning algorithms. Using performance results on realistic datasets, the researchers will develop heuristic methods to optimize job scheduling and configuration across globally distributed data sources. This will allow applications to process astronomical data with maximum efficiency and minimum computing costs as future telescope projects exponentially increase data volumes. Completion is set for August 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $586.9k | 8/19/22 |