This Project Grant from the National Science Foundation's Mathematical and Physical Sciences program provides $118,659 to support the continued development of the Supernovae Early Warning System (SNEWS) network. SNEWS is a collaborative effort between neutrino and dark matter detectors globally to provide automated early alerts of impending supernovae in our galaxy. Funding will support upgrades to the SNEWS 2.0 system to enhance detection capabilities, development of an amateur astronomer...
This $249,278 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program will support the continued development of the Supernovae Early Warning System (SNEWS) network. SNEWS is an international collaboration between neutrino and dark matter detectors designed to provide automated early alerts of impending supernovae in our galaxy to the astronomical community. Under this award, a collaborative group of scientists from multiple institutions will work to...
This Project Grant from the National Science Foundation's Mathematical and Physical Sciences Directorate (NSF MPS), under the Mathematical and Physical Sciences program (CFDA 47.049), provides $143,185 to support collaborative research advancing the Supernova Early Warning System (SNEWS) through August 2025. SNEWS is a network between neutrino and dark matter detectors designed to provide automated prompt alerts of impending supernovae in our galaxy. The awardee, University of Rochester, will...
This $134,210 National Science Foundation project grant supports the development and enhancement of the Supernovae Early Warning System (SNEWS) network. SNEWS is an international collaboration between neutrino and dark matter detectors designed to provide early alerts of impending supernovae in our galaxy to the astronomy community. Funded activities under this three-year award include optimizing the SNEWS 2.0 system to improve detection capabilities, developing a follow-up strategy involving...
This $165,079 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program supports the continued development of the Supernovae Early Warning System (SNEWS) network. SNEWS is an international collaboration between neutrino and dark matter detectors designed to provide automated early alerts of impending supernovae in our galaxy to the astronomical community. The awardee, North Carolina State University, will work with experimentalists and phenomenologists to...
This $325,777 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support a collaborative research effort to study nearby cosmic explosions, known as supernovae, from their earliest moments. The research team will enhance its rapid survey capabilities to promptly identify and study new supernovae in nearby galaxies, taking advantage of a network of small telescopes. This will enable the discovery of...
This $258,736 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will support a collaborative research project to study nearby cosmic explosions, known as supernovae, from their earliest moments. The research team at Rutgers, The State University will enhance its rapid survey for the nearest and brightest supernovae, incorporating new infrastructure to identify even younger nearby supernovae. As part of this work, three...
The University of California, Davis received a $531,469 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to enhance its rapid survey for the nearest and brightest supernovae in the sky. The 3-year award will support the team's efforts to incorporate new infrastructure to find even younger nearby supernovae, with the goal of discovering 30 very young nearby supernovae over the project period. This includes 12 thermonuclear Type Ia...
This $418,995 award from the National Science Foundation (NSF) Mathematical and Physical Sciences program supports the continuation of the All-Sky Automated Survey for Supernovae (ASAS-SN) project, a global network of 20 telescopes operated by the University of Hawaii and Ohio State University. The ASAS-SN project aims to provide nightly monitoring of the entire visible sky to a magnitude of 18, enabling the discovery and observation of approximately 300 supernovae per year. This data serves...
This $463,844 Project Grant was awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Hawaii (UH) to continue operating the All-Sky Automated Survey for Supernovae (ASAS-SN). ASAS-SN is a global network of 20 telescopes that provides a comprehensive survey of the bright transient and variable sky, discovering approximately 300 supernovae per year. Through this award, UH will maintain and expand the ASAS-SN...