Project Grant 2508746
- 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) 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...
- This $271,496 National Science Foundation project grant supports collaborative research on dwarf galaxies over cosmic time. The University of Arizona will investigate dwarf galaxy populations within five million parsecs and halfway across the observable universe using wide-field, high-resolution multi-object spectrometers in both hemispheres. An integral field unit spectrograph constructed with prior NSF funding, IFUM, will obtain the first measurements of star formation rates, metallicity,...
- The National Science Foundation (NSF) Division of Astronomical Sciences awarded a $497,792 Project Grant to the University of Arizona (doing business as the Arizona Board of Regents) to support research under the NSF's Mathematical and Physical Sciences program (CFDA 47.049). The grant aims to develop advanced machine learning techniques to extract cosmological information from mass maps generated by observing the gravitational lensing effects of dark matter. This research will enable more...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $395,378 to the University of Delaware to develop software using machine learning and artificial intelligence (AI) methods to detect anomalous phenomena in the data from the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). The project will include new methodologies for unveiling novel astrophysical objects and phenomena in the LSST data, as...
- 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 $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....
- The National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences awarded a $228,435 Project Grant to The Johns Hopkins University to develop a toolkit of understandable machine learning (ML) methods for interpreting detailed optical galaxy surveys from the Rubin Observatory and Dark Energy Spectroscopic Instrument. This 3-year award, running from September 1, 2023 to August 31, 2026, aims to: 1) produce a statistical census of cosmological information at small scales,...
- The National Science Foundation (NSF) Division of Astronomical Sciences awarded a $560,085 Project Grant to the University of California, Santa Cruz (UCSC) to apply an artificial intelligence/machine learning (AI/ML) model called MORPHEUS to analyze and classify astronomical objects in large-scale, public astronomical imaging surveys. The goals of this 3-year project are to further the understanding of the connection between galaxy morphology and the underlying physics of galaxy formation, as...
- This National Science Foundation (NSF) Project Grant award, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $329,659 to the University of California, Irvine to conduct collaborative research on the formation of disk galaxies over cosmic time. The research aims to understand the physics behind the transition from early, non-disk galaxies to the disk-shaped galaxies we observe today, including the roles of galaxy potentials, interstellar medium evolution, and other...
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 investigators will create video blogs to explain the scientific discovery process to the public. The project aims to build an unbiased sample of the fainest dwarf galaxies beyond the local group and characterize these newly discovered systems, which will provide insights into small-scale galaxy formation. This award is partially funded by a gift from Charles Simonyi and includes contributions to the Vera C. Rubin Observatory's Legacy Survey of Space and Time. The project period runs from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $481.0k | 8/14/25 |