Project Grant 2537086
- This Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems provides $115,201 to develop signal cancellation technologies using reconfigurable intelligent surfaces for radio astronomy services. Funded under the Engineering (47.041) program, the award supports research at the California Institute of Technology from October 1, 2022 to September 30, 2025. Specifically, the project investigates using an intelligent surface installed near a radio...
- This Project Grant award from the National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences supports the development of advanced artificial intelligence (AI) systems to optimize the search for gravitational wave events accompanied by electromagnetic radiation. The $160,476 award to the California Institute of Technology (Caltech) will fund the creation of an AI agent that can adaptively learn to make optimal decisions for follow-up observations of these rare and...
- This three-year, $119,418 Project Grant from the National Science Foundation's Mathematical and Physical Sciences Directorate will fund research at the California Institute of Technology to develop new spectrum sharing protocols and technologies. The project aims to enable more efficient sharing of spectrum between terrestrial commercial wireless systems and passive scientific receivers, while empowering passive systems to require interfering transmitters to change bands. Researchers will create...
- This $700,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports the development of cutting-edge circuit designs and signal processing algorithms to enhance the resilience of radio telescopes against radio frequency interference (RFI) from satellite transmissions. The primary goal is to enable the continued operation of radio astronomy service (RAS) in the presence of unavoidable RFI through a modulo sampling-based approach. The research...
- This three-year, $110,972 Project Grant from the National Science Foundation's Division of Astronomical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will support the development of new statistical and machine learning methods and software to improve the detection, characterization, and classification of astrophysical objects using multi-epoch imaging survey data. The California Institute of Technology will apply innovative algorithms to optimize the discovery...
- This National Science Foundation Project Grant award of $271,974 provides funding from September 15, 2022 through August 31, 2025 for collaborative research titled "SWIFT-SAT: RFI Detection Across Six Orders of Magnitude in Intensity: A Unifying Framework with Weakly Supervised Machine Learning." The award is made under the Mathematical and Physical Sciences program (CFDA 47.049), which supports progress in these fields to strengthen the nation's scientific enterprise. Specifically,...
- The National Science Foundation awarded a $124,508 project grant to the California Institute of Technology from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds the "COLLABORATIVE RESEARCH: SWIFT: COLLABORATIVE INTERFERENCE CANCELLATION FOR RADIO ASTRONOMY" project being conducted by Caltech. The Computer and Information Science and Engineering program supports investigator-initiated research and...
- This $312,341 Project Grant award from the National Science Foundation's Division of Astronomical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), funds the development of new algorithms and hardware to detect, mitigate, and fuse radio frequency interference (RFI) for radio astronomy observations. The research project, led by West Virginia University Research Corporation, aims to address the challenge of man-made radio interference that can obscure faint astronomical...
- 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 California Institute of Technology (Caltech) received a $625,319 Project Grant award from the National Science Foundation Division of Astronomical Sciences on October 1, 2021 to fund the research project "A NEW PROBE OF THE MAGNETIC INTERSTELLAR MEDIUM" through September 30, 2024. Under this award, Caltech researchers will develop new techniques to study the magnetic properties of gas and dust between star systems, known as the interstellar medium. The work supports the goals of...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) provides $759,977 to the California Institute of Technology (Caltech) to develop methods and tools using artificial intelligence and machine learning (AI/ML) to mitigate radio frequency interference (RFI) in measurements made by radio telescopes and other sensitive receivers. The key products and services to be delivered include documented datasets of RFI observations, open-source AI/ML models, and software tools for non-experts to address RFI challenges in their instruments or scientific studies. The project starts by assembling the largest-ever dataset of RFI observations from US astronomy facilities, which will inform the development of digital twins (data simulators) and a specialized neural network for RFI mitigation in passive sensing data. The award has a performance period from Oct 1, 2025 to Sep 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $760.0k | 8/14/25 |