This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) aims to develop new artificial intelligence (AI) models and methods to analyze and interpret stellar spectra more effectively. The $271,969 award to The Ohio State University, with a project period from September 1, 2024 to August 31, 2027, will fund research to create "spectral foundational models" - robust AI models pre-trained on simplified stellar spectral...
This $238,354 Project Grant awarded by the National Science Foundation (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences grant program (CFDA 47.049) will fund collaborative research to develop improved image processing software for high-contrast imaging of exoplanets. The project aims to enable more sensitive detection and characterization of exoplanets by fully utilizing data from the wavefront sensors in modern high-contrast imaging systems. The software will...
This $2,275,504 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of open-source software infrastructure to enable advancements in multi-messenger astrophysics. The key products and services to be delivered under this 3-year award include: Software to enable real-time querying and analysis of heterogeneous data streams from gravitational wave, neutrino, and electromagnetic observations to...
This $304,670 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will support the development of a framework for analyzing time-resolved spectroscopic data. The awardee, Cornell University Office of Sponsored Programs, will develop algorithms to disentangle stellar activity signals from planetary signals in time-resolved spectral data from searches for Earth-like exoplanets. Specifically, the project aims to model single or multiple...
This Project Grant award, valued at $457,856, was awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award will establish the IDASTRO program, a collaboration of Idaho colleges and universities including Boise State University, College of Idaho, and College of Western Idaho, to improve access for students to astronomy research in the state of Idaho. The IDASTRO program will provide personalized mentoring,...
This $306,464 Project Grant awarded by the National Science Foundation's (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program will develop "DECIPHER: Deep Computer Vision in the Astrophysics of Planet Formation." The project aims to create a machine learning tool that can detect and measure the mass of exoplanets forming in protoplanetary disks from observational data. This cross-disciplinary effort will leverage advances in...
This $286,520 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a free and open-source software package for high-performance, low-latency computing pipelines with real-time requirements for astronomical adaptive optics (AO). The Compute and Control for Adaptive Optics (CACAO) software toolkit will enable the next generation of AO instruments on large ground-based...
This Project Grant award from the National Science Foundation's Division of Astronomical Sciences provides $587,441 to the University of Delaware over 3 years, from August 2023 to July 2026. The purpose is to adapt time-domain data analysis tools previously used in other scientific fields for application in astronomy, specifically for searches of Earth-like exoplanets around distant stars. The key deliverables include: Developing new variance-suppressing power spectrum estimators, like the...
This $299,997 Project Grant awarded by the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the CFDA 47.070 Computer and Information Science and Engineering program supports the development of free and open-source software and a web interface for extracting high-precision brightness measurements of stars from citizen scientist observations collected with color digital cameras. The project aims to greatly expand the pool of citizen scientists able to contribute to...
The National Science Foundation (NSF) Division of Astronomical Sciences awarded a $520,894 Project Grant to the University of Arizona under the Mathematical and Physical Sciences program (CFDA 47.049) to develop improved image processing software for high-contrast imaging of exoplanets. The project aims to leverage wavefront sensor data from adaptive optics systems to enhance exoplanet detection and characterization capabilities of existing ground-based telescopes. The investigators will...