The National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences awarded a $183,448 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of California, Berkeley. This 3-year grant funds the development of open-source cyberinfrastructure for publishing and reusing un- or minimally compressed scientific measurement data across physics domains. The project aims to enable high-quality scientific analyses to continue well beyond the life of experimental facilities by allowing direct access to raw data, rather than just summarized results, through machine learning-based techniques. This will broaden participation in physics research by reducing computational barriers, especially for early-career scientists and undergraduates. The work will be integrated with widely-used frameworks in particle, nuclear, and astrophysics to accelerate adoption of these new data analysis capabilities.
Generated 5/14/24, 10:16 AM