Project Grant FA95502310592

This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $274,996 to Opticalx, LLC, a small disadvantaged business located in Tracy, CA, to develop an optical solution for detecting and tracking small space debris. The project, titled "Space-Time Projection Optical Tomography (SPOT)", aims to leverage graphical processing unit (GPU) computing to enable the detection of space debris...

This National Science Foundation (NSF) Mathematical and Physical Sciences Program Project Grant award of $366,995 to the University of California, Santa Cruz (UCSC) will fund the development and demonstration of a new wavefront sensor technology called the Fast Atmospheric Self-Coherent Camera Technique (FAST). This technology is intended to enable more sensitive direct imaging of exoplanets, including potentially Earth-like planets, by reducing "speckle" noise that currently limits...

This $564,958 National Science Foundation Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) supports measurement, simulation, and mitigation of the impact of low-Earth orbit satellite constellations on wide-field optical surveys conducted by ground-based observatories. The University of California, Davis will pursue multiple mitigation strategies including developing novel algorithms for processing charge-coupled device images, strategies for avoiding the brightest...

This three-year, $330,000 Project Grant from the National Science Foundation Directorate for Mathematical and Physical Sciences, under the Mathematical and Physical Sciences federal grant program (CFDA 47.049), will support the development of a novel multi-object, high-resolution spectrograph without compromising spectral resolution or coverage. Ronald A. López, as an NSF Astronomy and Astrophysics Fellow at the University of California, Santa Barbara, will apply microwave kinetic inductance...

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 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $322,751 to the University of Illinois to develop and apply new techniques for measuring the motions of faint stars using ground-based survey telescopes. The investigators will measure the astrometric positions of stars in hundreds of thousands of images collected by the Dark Energy Camera (DECam) on the NSF's 4-meter Blanco telescope. This data will enable...

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 $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...

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 from the National Science Foundation Division of Astronomical Sciences totals $134,673 to support research optimizing discovery with multi-epoch photometric survey data. Funded under the Mathematical and Physical Sciences program, the award will see the development of new statistical and machine learning methods and open-source software to improve detection, characterization, and classification of astrophysical objects in multi-epoch imaging surveys. A team of astronomers,...