Machine learning enabled measurements of astrophysical (p,n) reactions with the SECAR recoil separator

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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Main Authors: P. Tsintari, N. Dimitrakopoulos, R. Garg, K. Hermansen, C. Marshall, F. Montes, G. Perdikakis, H. Schatz, K. Setoodehnia, H. Arora, G. P. A. Berg, R. Bhandari, J. C. Blackmon, C. R. Brune, K. A. Chipps, M. Couder, C. Deibel, A. Hood, M. Horana Gamage, R. Jain, C. Maher, S. Miskovich, J. Pereira, T. Ruland, M. S. Smith, M. Smith, I. Sultana, C. Tinson, A. Tsantiri, A. Villari, L. Wagner, R. G. T. Zegers
Format: Article
Language:English
Published: American Physical Society 2025-01-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.7.013074
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http://doi.org/10.1103/PhysRevResearch.7.013074

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