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 $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...
This $1,969,052 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports the development of an open-source software library to enable coordinated follow-up observations across diverse astronomical observatories. The project, led by the Las Cumbres Observatory Global Telescope Network, aims to streamline the process of requesting observations from optical, infrared, radio, X-ray, and ultraviolet telescopes in response to time-domain...
This National Science Foundation (NSF) Division of Astronomical Sciences Project Grant, awarded on August 1, 2023 for $242,524, supports collaborative research by the University of Arizona aimed at exploring the composition of exoplanetary systems through observations and modeling of dusty circumstellar disks around other stars. The research goal is to determine the composition of rocky material orbiting other stars by analyzing the dust released from colliding rocks, which reflects and...
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 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 National Science Foundation (NSF) Division of Astronomical Sciences Project Grant, CFDA #47.049 Mathematical and Physical Sciences, is funding Drexel University to develop cutting-edge artificial intelligence (AI) systems that will optimize the search for electromagnetic signals accompanying gravitational wave events detected by advanced detectors. The $341,248 project, running from September 1, 2023 to August 31, 2026, aims to create an AI agent that can adaptively learn to make the best...
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....
This $482,093 National Science Foundation (NSF) Project Grant, awarded under the Mathematical and Physical Sciences (CFDA 47.049) program, supports research by the Massachusetts Institute of Technology (MIT) to build an automated process using machine learning to analyze observations of over 1.5 billion stars from the Gaia mission of the European Space Agency. The goal is to chart the history of the Milky Way's formation by searching for stellar debris from past galaxy collisions. The research...