Project Grant 2307727

Award Date 9/1/23
Completion Date 8/31/26
Dollars Obligated $604K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Philadelphia, PA 19104, USA
Similar Awards
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"...
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 Trustees of the University of Pennsylvania (Penn) received a $499,057 Project Grant from the National Science Foundation Division of Astronomical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) to conduct research on using radio frequency imaging to improve the interpretation of galaxy cluster surveys. The key objectives are to: (1) complete a blind survey of clusters for compact radio sources that can bias Sunyaev-Zel'dovich effect measurements, (2) use the...
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 Trustees of the University of Pennsylvania were awarded a $344,394 Project Grant from the National Science Foundation Division of Astronomical Sciences to support the project "PRECISION COSMOLOGY WITH PHOTOMETRICALLY-CLASSIFIED SUPERNOVAE." The grant was awarded on September 1, 2021 with a completion date of August 31, 2024. The grant falls under the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in the...
This three-year, four hundred twenty-six thousand seven hundred forty-eight dollar Project Grant from the National Science Foundation Division of Astronomical Sciences will fund research at Cornell University to combine measurements from cosmic microwave background experiments and galaxy clustering surveys to probe the nature of gravity, dark matter, and neutrinos in the universe. Key products will include the highest signal-to-noise pairwise kinematic Sunyaev-Zeldovich measurements to date...
This $345,303 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports collaborative research by scientists at the University of Chicago and the University of Hawaii. The goal is to obtain precise and unbiased constraints on the properties of the universe by analyzing complementary data from state-of-the-art astronomical surveys, including the Dark Energy Survey, South Pole Telescope, and Atacama Cosmology Telescope. The...
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...
The National Science Foundation (NSF) Division of Astronomical Sciences awarded a $293,196 Project Grant to Swarthmore College to address fundamental issues in cosmology under the Mathematical and Physical Sciences (CFDA 47.049) program. The funding will support theoretical work to provide insights into tensions in the current standard cosmological model, specifically the "Hubble tension" and "Sigma-8 tension" that challenge our understanding of the Universe's expansion...

The National Science Foundation (NSF) Division of Astronomical Sciences awarded a $603,824 Project Grant to The Trustees of the University of Pennsylvania, doing business as the Clinical Practices of the University of Pennsylvania, under the Mathematical and Physical Sciences (CFDA 47.049) program. The 3-year grant, running from September 1, 2023 to August 31, 2026, will support a team of scientists led by the University of Pennsylvania to use new high-resolution data from the NSF-funded Atacama Cosmology Telescope (ACT) to precisely map dark matter through cosmic microwave background (CMB) lensing. This will enable measurements of neutrino masses and help resolve discrepancies between high- and low-redshift structure growth observed in the universe. The project will also produce maps of ionized gas pressure through the thermal Sunyaev-Zeldovich effect, supporting further astrophysical and cosmological research. The award will provide advanced training for two graduate students in data analysis and statistical methods in cosmology, and develop educational resources for undergraduates on Python for data science and interactive visualizations of dark matter and gas maps.

Generated 4/30/24, 3:22 PM