Project Grant 2309631

Award Date 8/1/23
Completion Date 7/31/26
Dollars Obligated $700K
Federal Agency
Division of Physics
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Hamden, CT 06511, USA
Similar Awards
This $160,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research by Arizona State University (ASU) to develop new methods for directly detecting dark matter particles. The research team plans to build a system that uses nuclear spin fluctuations to search for ultra-low mass dark matter, with the goal of achieving a 30-fold improvement in energy sensitivity over current techniques. The project has two main...
The National Science Foundation awarded $421,862 under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to The Regents of the University of Colorado for the project titled "COLLABORATIVE RESEARCH: HAYSTAC QUANTUM ENHANCED." The University of California, Berkeley and the University of Colorado will work collaboratively on the HAYSTAC experiment from August 15, 2022 to July 31, 2025. The experiment seeks to discover dark matter through the detection of...
The National Science Foundation (NSF) Division of Physics awarded a $341,896 Project Grant to the Massachusetts Institute of Technology (MIT) under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund the development of the "DARKQUEST" experiment, which will upgrade the existing SPINQUEST spectrometer at Fermilab's 120 GeV Main Injector to enable a new search for dark matter particles in the mega-electron volt to giga-electron volt mass range. Key...
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 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program provides $540,000 to Yale University from July 2022 through June 2025 to develop optically levitated microspheres as new tools for precision searches beyond the Standard Model of particle physics. The grantee will improve the sensitivity of optomechanical sensor arrays and extend them to search for interactions from dark matter and deviations from expected Standard Model forces at the microscopic...
This $449,946 project grant from the National Science Foundation's Mathematical and Physical Sciences program will support research at Stanford University and the University of Washington to develop a novel axion detector called a haloscope. The haloscope is expected to improve the scan rate of axion dark matter experiments by more than three orders of magnitude at frequencies between 4-7 GHz. Researchers will fabricate and test a full-sized science-grade cavity under cryogenic conditions in...
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...
This three-year, $449,837 National Science Foundation project grant funds the development of optomechanical dark matter detectors at the University of Arizona from November 2022 through October 2025. The award supports work under the NSF Mathematical and Physical Sciences program (CFDA 47.049), which aims to advance scientific knowledge and understanding in these fields. Specifically, the project will join experimental and theoretical researchers to explore detection of ultralight "dark...
This $190,000 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the development of novel cavity haloscopes by researchers at Stanford University and the University of Washington to improve the scan rate of axion dark matter experiments by more than three orders of magnitude at frequencies between 4-7 GHz. The researchers will fabricate and test a full-sized science-grade cavity in an existing 250mK testbed to demonstrate...
This $600,000 Project Grant, awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049), will support specialized experiments at the Massachusetts Institute of Technology (MIT) to search for axion dark matter and Majorana neutrinos. The key technical goals are to develop robust quantum-enhanced superconducting readout systems and advanced algorithms, including AI and machine learning techniques, to reduce noise for the DMRADIO and CUPID...

The National Science Foundation (NSF) Division of Physics awarded a $700,000 Project Grant to Yale University under the Mathematical and Physical Sciences program (CFDA 47.049) to support the HAYSTAC Axion Dark Matter Experiment - Phase III. This effort aims to detect the theorized axion particle, which could comprise the unobserved "dark matter" that accounts for the majority of the mass in the universe. Key activities include upgrading the HAYSTAC detector system to expand its frequency range and sensitivity in the search for axion signals, as well as training students and postdocs in particle physics, axion dark matter detection, and quantum sensing techniques. The project leverages innovative microwave cavity, amplification, and shielding technologies to enable continuous, highly sensitive axion detection over extended periods. This award will fund the system upgrades, testing, and initial operations from August 2023 through July 2026.

Generated 4/30/24, 3:19 AM