This $377,498 federal Project Grant award, funded by the National Science Foundation (NSF) through its Mathematical and Physical Sciences (CFDA 47.049) program, supports the development of an advanced, artificial intelligence-assisted trigger system for radio neutrino astronomy conducted by the University of California Irvine (UC Irvine).
The research project aims to create next-generation trigger technology that can better exploit the unique "chirped" signals detected by shallow radio antennas to search for ultra-high energy neutrinos from astrophysical sources. The new all-digital trigger system will leverage AI tools like deep learning to process unfiltered data directly from high-speed digitizers, providing improved triggering capabilities for the ARIANNA surface station experiment. This work will advance multi-messenger neutrino astronomy and revitalize the design and operation of related surface station experiments. The project also includes training and development opportunities for graduate and undergraduate students, including underrepresented groups and women, to gain valuable experience in hardware and software for this emerging research field.
Generated 3/4/25, 4:23 AM