Machine learning enabled measurements of astrophysical (p,n) reactions with the SECAR recoil separator
The synthesis of heavy elements in supernovae is affected by low-energy (n,p) and (p,n) reactions on unstable nuclei, yet experimental data on such reaction rates are scarce. The SECAR (SEparator for CApture Reactions) recoil separator at FRIB (Facility for Rare Isotope Beams) was originally designe...
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| Auteurs principaux: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Physical Society
2025-01-01
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| Collection: | Physical Review Research |
| Accès en ligne: | http://doi.org/10.1103/PhysRevResearch.7.013074 |
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