Project Grant 2246631
- 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 $508,212 five-year Project Grant award from the National Science Foundation's Mathematical and Physical Sciences (CFDA 47.049) program supports the creation of an ambitious simulation suite that will uniformly cover an unprecedented range of dark matter and gravity models. The goal is to enable detailed comparisons between these simulations and observational survey data, potentially ruling out certain models of dark matter and gravity. The simulations will be publicly available to enable...
- 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 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 (NSF) Division of Astronomical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $622,334 to The Trustees of the University of Pennsylvania to conduct collaborative research on dark matter physics and its implications for galaxy formation. The key products and services to be delivered under this 3-year award include: (1) new public software modules implementing different dark matter particle models...
- This National Science Foundation (NSF) Project Grant, awarded under the Mathematical and Physical Sciences program (CFDA 47.049), supports research at Drexel University to measure the mass distribution of dark matter in the universe. The $359,436 award, active from August 1, 2023 to July 31, 2026, will enable the research team to analyze distortions in the shapes of approximately 100 million galaxies observed through the Dark Energy Survey. By interpreting these "cosmic flexion"...
- 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 (NSF) awarded a $450,358 Project Grant to Rutgers, The State University, located in New Brunswick, NJ, under the agency's Mathematical and Physical Sciences program (CFDA 47.049). The funding supports a 3-year investigation into how interacting dark matter may affect galaxy formation and evolution. The research team will use high-resolution galaxy simulations to compare the observable characteristics of galaxies in a cold dark matter paradigm versus one with...
- This $332,168 project grant awarded by the National Science Foundation's (NSF) Division of Astronomical Sciences will fund a collaborative research program to characterize the baryon and dark matter content of massive dwarf galaxies. The program will leverage the Merian Survey, which is identifying 100,000 well-characterized massive dwarf galaxies, to study the relationship between galaxy properties and dark matter halo mass. Key objectives include matching the internal kinematics of galaxies...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $270,000 in funding to the University of Texas at Austin over 3 years, from September 1, 2024 to August 31, 2027. The award will support research to study the nature of dark matter, which accounts for 85% of all matter in the known universe. The research aims to better understand the microscopic properties of dark matter and its gravitational effects on...
This National Science Foundation Project Grant of $216,114 awarded on November 1, 2022 will fund research at George Mason University to advance understanding of dark matter through realistic galaxy formation simulations. Led by Professor Ferah Munshi, the research team will use state-of-the-art computer modeling to simulate dwarf galaxies under both the standard Cold Dark Matter model and an alternative Self-Interacting Dark Matter paradigm. By evaluating the simulation data against real galaxy observations, the research aims to constrain the nature of dark matter and test whether Self-Interacting Dark Matter with a cross-section of approximately 3 cm2/g can reproduce the full range of observed galaxy rotation curves. In addition to advancing scientific knowledge under the Mathematical and Physical Sciences program (CFDA 47.049), the grant establishes an astronomy and physics research training program at the University of Oklahoma to develop a more diverse scientific workforce.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $216.1k | 10/20/22 |