Machine learning in experimental nuclear astrophysics
ORAL · Invited
Abstract
Machine learning developments and applications facilitating the operation and data analysis of selected nuclear astrophysics experiments will be presented.
*The speaker acknowledges support from the U.S. Department of Energy Office of Science under Award No. DE-SC0024587 and the U.S. National Science Foundation under Grant No. PHY-2209429.
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Publication: T. Wheeler et al., Nuclear Instruments and Methods in Physics Research A 1080, 170659 (2025)
Presenters
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Christopher Lars Henrik Wrede
- Michigan State University