Project Grant 2607274
- The National Science Foundation (NSF) awarded a Project Grant under the Integrative Activities (IA) program (CFDA 47.083) in the amount of $291,124 to the University of New Mexico (UNM) with a start date of January 1, 2024 and completion by December 31, 2025. This grant will fund a research fellowship for an assistant professor and graduate student training at UNM to study the fundamental properties of dark matter using detailed observations of the Milky Way's satellite galaxies. The project...
- Federal Project Grant Award Summary The National Science Foundation's Directorate for Mathematical and Physical Sciences (CFDA 47.049) awarded the University of New Mexico $360,405 on June 15, 2025, for a CAREER (Faculty Early-Career Development Program) project extending through May 31, 2030. The award supports the development of artificial intelligence and machine learning (AI/ML)-based computational tools designed to accelerate the investigation of dark matter and dark energy—the invisible...
- The National Science Foundation awarded a $455,451 project grant under the Mathematical and Physical Sciences program (CFDA 47.049) to The University of New Mexico for the period August 1, 2022 through July 31, 2025. The grant funds research to detect the Migdal effect for atoms of interest in dark matter searches and evaluate its validity for setting dark matter limits. Researchers will participate in a European experiment using an optical time-projection chamber to image and reconstruct low...
- 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...
- The National Science Foundation Division of Astronomical Sciences awarded the University of Arizona $815,517 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop a dynamical halo model that connects visible material distribution in galaxies and galaxy clusters to dark matter and dark energy. The team will extend dark-matter-only dynamics-based halo models to include a mass-conserving description of dark matter, galaxies, gas density, and thermal and...
- 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...
- The National Science Foundation Directorate for Mathematical and Physical Sciences awarded New Mexico State University $534,487 on September 1, 2026, to conduct collaborative astrophysical research examining how supernovae influence galaxy evolution, particularly in dwarf galaxies. The award is structured as a Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) and runs through August 31, 2029. The research integrates discoveries from the Vera C. Rubin...
- The National Science Foundation (NSF) Division of Astronomical Sciences awarded a $398,629 Project Grant to the Massachusetts Institute of Technology (MIT) under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports collaborative research to systematically predict dynamical signatures of new dark matter physics in galaxies. The researchers will implement various dark matter models in simulations of galaxies like the Milky Way and smaller dwarfs, creating a set of...
- The National Science Foundation Division of Physics awarded New York University $150,000 on August 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop theoretical and computational tools for cosmological searches of dark matter-baryon interactions using observations of the cosmic microwave background. The project, led by Professor Ali-Haïmoud, will expand Boltzmann-Fokker-Planck methods and related approaches to enable higher-sensitivity cosmological probes...
- The National Science Foundation Division of Astronomical Sciences awarded The Trustees of Princeton University $510,337 on September 1, 2026, to conduct collaborative research measuring the mass profiles of dwarf galaxies using the Rubin Observatory, funded through the Mathematical and Physical Sciences program (CFDA 47.049). Princeton's research team will build the largest sample of dwarf galaxies to date and measure gravitational distortions these galaxies imprint on images of background...
The National Science Foundation Division of Astronomical Sciences awarded the University of New Mexico $156,718 in Project Grant funding on August 15, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049). The award supports development of computational tools powered by artificial intelligence that enable rigorous comparison of theoretical predictions for dwarf galaxies against observations from the Vera C. Rubin Observatory's decade-long survey of the southern sky. The project will test whether dark matter behaves according to the leading cold dark matter theory or exhibits hidden properties detectable only on the smallest cosmic scales. The research team will extend a semi-analytic forward model of satellite luminosities, sizes, and stellar velocity dispersions to self-interacting dark matter, capturing orbital, tidal, and gravothermal evolution of subhalos through machine-learning emulators. Work will be performed in Albuquerque, New Mexico, from August 15, 2026, through July 31, 2028. The award supports training of a graduate student and funds a mentoring program that brings advanced artificial intelligence and machine-learning instruction to early-career undergraduates at the University of New Mexico.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $156.7k | 8/13/26 |