Project Grant 2508745
- This $103,360 project grant awarded by the National Science Foundation (NSF) Division of Astronomical Sciences will fund collaborative research to use artificial intelligence (AI) to detect a large sample of the faintest and smallest galaxies in the universe. The research team will analyze data from advanced astronomical observatories, including the Rubin Telescope, to discover a statistical sample of elusive distant dwarf galaxies using a convolutional neural network image classifier. The...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) provides $481,026 to the University of Arizona to use artificial intelligence (AI) to detect a large sample of the faintest and smallest galaxies in the universe. The research team will analyze vast datasets from advanced astronomical observatories, including the Rubin Telescope, to discover a statistically significant sample of elusive distant dwarf galaxies. The...
- This $421,175 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports a research project titled "The Emergence of Star Clusters: Insights from Artificial Intelligence." The project aims to better understand the physical mechanisms of star formation by analyzing data from the Atacama Large Millimeter Array and the James Webb Space Telescope to measure the timescales for clearing natal gas from newly formed stellar clusters....
- This $539,342 Project Grant award from the National Science Foundation's (NSF) Division of Astronomical Sciences will support research into the unexpectedly high number of bright, rapidly star-forming galaxies observed at the cosmic dawn. The award recipient, Princeton University, will conduct simulations and analytical modeling to understand the physical conditions that could explain these observations, particularly in the context of massive dark matter halos at high redshift. The research aims...
- The National Science Foundation Division of Astronomical Sciences awarded a $463,511 Project Grant to the University of California, San Diego under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to support collaborative research titled "AI-Enhanced Exascale Simulations of the Earliest Galaxies" from September 1, 2021 through August 31, 2024. The University will utilize artificial intelligence and high-performance computing to conduct exascale simulations...
- This National Science Foundation (NSF) Division of Astronomical Sciences Project Grant, CFDA #47.049 Mathematical and Physical Sciences, is funding Drexel University to develop cutting-edge artificial intelligence (AI) systems that will optimize the search for electromagnetic signals accompanying gravitational wave events detected by advanced detectors. The $341,248 project, running from September 1, 2023 to August 31, 2026, aims to create an AI agent that can adaptively learn to make the best...
- This Project Grant award of $118,776 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support collaborative research to connect galaxies to dark matter halos using data from the Merian survey of 100,000 dwarf galaxies. The project aims to characterize the baryon and dark matter content of these dwarf galaxies through a united theory and observational approach. Key activities include measuring the composition and dark matter proportions of...
- The National Science Foundation Division of Astronomical Sciences awarded a $202,576 Project Grant to The Trustees of Princeton University, doing business as Princeton University, under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports a collaborative research effort to study how to indirectly test and constrain the properties of dark matter through observations of individual galaxies. Key deliverables include: 1) new, publicly available software modules...
- This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research to investigate dark matter, the largest and most mysterious component of galaxies. The $313,105 award, spanning September 2025 to August 2028, will fund a team of researchers from the University of North Carolina, University of Pennsylvania, and Northwestern University to conduct advanced computer simulations of galaxy formation and stellar...
- This $186,788 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program will support a collaborative research project titled "Connecting Galaxies to Halos with the Marvelous Merian Dwarfs." The principal investigators will use a new dataset of 100,000 dwarf galaxies to measure their composition and proportion of dark matter, stars, and gas. Advanced computer models and simulations will be used to explain the physical properties of these...
This Project Grant award from the National Science Foundation's (NSF) Division of Astronomical Sciences, under the CFDA program "Mathematical and Physical Sciences", will provide $558,686 to Trustees of Dartmouth College over a 3-year period starting on September 1, 2025. The award will support collaborative research to use artificial intelligence (AI) to detect a large sample of the faintest and smallest galaxies in the universe. The research team will analyze vast astronomical datasets, including from the Rubin Telescope, to discover elusive distant dwarf galaxies. This will build an unbiased sample to illuminate small-scale galaxy formation. The project will also engage the public through video blogs explaining the scientific discovery process. Overall, this research aims to push the frontier of galaxy formation knowledge by leveraging AI and advanced astronomical observations.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $558.7k | 8/14/25 |