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 $599,199 National Science Foundation award under the Mathematical and Physical Sciences program will fund development of tools and infrastructure to characterize discoveries from the Vera C. Rubin Observatory's Legacy Survey of Space and Time. Led by Las Cumbres Observatory Global Telescope Network, Inc., the team will build software to model populations of exoplanets, stars, and black holes detected by the LSST survey in real time. This includes algorithms to prioritize microlensing events...
This $484,024 Project Grant award, funded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program, supports a 4-year collaborative research program led by investigators at Louisiana State University, Harvard University, University of Minnesota-Twin Cities, and University of Maryland, College Park. The research aims to improve understanding of explosive transient astronomical events by combining observations from the Vera C. Rubin Observatory,...
This $168,265 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of software and analysis tools to minimize the impact of satellite reflections on astronomical observations, particularly for the Legacy Survey of Space and Time (LSST) program. The primary objectives are to: 1) develop software to accurately predict satellite positions and optical brightness to enable avoidance of interference with...
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 $502,990 Project Grant award from the National Science Foundation's (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences program will support research to "untangle the physics of the magnetic, multi-phase interstellar medium" over a 5-year period from June 1, 2025 to May 31, 2030. The grant aims to develop novel computational tools and methodologies to better understand the gas, dust, and magnetic fields within our Milky Way galaxy, which will in...
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 $694,951 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program will fund the development of the "Treasure Trove" - a tool to help astronomers rapidly assess and prioritize potential counterparts to gravitational wave and neutrino events. The University of Arizona and Northwestern University-led team will leverage astronomical archives and real-time data to contextualize incoming transient detections, allowing them to discard...
This $586,924 National Science Foundation project grant supports the development of scalable and efficient astronomical data processing software among distributed observatories. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the University of Virginia team will design system software focusing on performance measurement and analysis of data processing jobs run on the National Radio Astronomy Observatory's Common Astronomy Software Applications and machine/deep learning...
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...